Total 1,350 job vacancies in Singapore

Job Responsibilities;

• Work closely with business users of the group to build a strong pipeline of impactful projects. This will involve understanding business challenges, evaluating the use cases, scoping the problems, and developing business cases on how to turn data into critical information and knowledge which can then translate into business decisions and actions
• Scope, design, develop, deploy, and maintain data science enabled applications and data analytics applications across the organization
• Support the professional growth and development of data scientists and data analysts in your team
• Educate and share data analytics and data science knowledge with various departments
• Organise and guide your team to execute the pipeline of data science and data analytics projects. This involves,

- Perform data cleaning, pre-processing, and feature engineering to build machine learning models

- Iterate with key users to perform subsequent deep dives based on initial results and fine-tuning the models

- Build automation applications or APIs to call the models

Requirements;

• A Bachelor’s Degree or higher in Computer Science/Engineering, Data Science, Statistics, or Applied Mathematics
• At least 5 years of relevant experience, in data science, machine learning, and statistical modeling, preferably with experience managing a data science team
• Proven track record of successfully leading data science projects and guiding a team of data scientists
• Have strong analytical, conceptualization, and problem-solving skills. Able to take broad, strategic perspectives
• Excellent problem-solving abilities with a demonstrated aptitude for translating business requirements into analytical solutions
• Understand key concepts, techniques, and considerations in statistics, machine learning, and data analytics
• Proficiency in machine learning techniques, including regression, classification, clustering, ensemble, and deep learning
• Proficiency in programming languages such as Python, and SQL, along with experience working with large-scale big-data processing frameworks
• Excellent communication and presentation skills, with the ability to convey technical concepts clearly and effectively
• Strong team management skills who can motivate and grow the team and has strong organization skills. Effective in setting and managing individual and team KPIs and goals

Mission:

Contribute to the Hutchinson Data Services program and play a key role in designing, building, and deploying scalable data solutions that power real world applications. You will work at the forefront of Industrial IoT and analytics, transforming complex data into actionable insights. Collaborating with a dynamic and growing international team, you will help deliver robust, production-ready solutions, unlock new business opportunities, and create tangible business value for customers.

Responsibilities:

·       Design, develop, and deploy commercial data services solutions in the field of predictive maintenance and industrial IoT.

·       Coordinate with business, product, and data science teams to translate business needs into scalable, production-ready data solutions that create tangible value and new business opportunities.

·       Coordinate research and development work with research institutes and external collaborators

·       Actively communicate project progress, outcomes, and value delivered to stakeholders

·       Document work processes and outcomes to facilitate knowledge sharing.

Requirements:

·       Master or Bachelor’s degree in Computer Science or Engineering

·       Min.2 years of relevant working experience in Software Development or Engineering

·       Strong foundation in software design principles, with the ability to build scalable, maintainable and reusable systems.

·       Strong proficiency in one or more backend programming languages such as Python, Java, Nodejs.

·       Solid experience in designing, developing and maintaining RESTful APIs

·       Familiarity with cloud platforms and backend technologies

·       Experience in commercial IoT systems, particularly edge/gateway and cloud integration is a plus

·       Self-driven, proactive, and able to work independently in a fast-paced environment

Are you looking for a career in an inspiring, global environment where your expertise makes a difference? At Neste, you will be working for the world’s leading producer of renewable diesel and sustainable aviation fuel. Together we can help our customers to reduce their greenhouse gas emissions.

We are looking for you,

Research Specialist

to our Analytics team in the R&D department in Neste APAC Innovation Center, Science Park II, Singapore.

You will focus on inorganic materials characterization and analytic; work including various solid and/or liquid materials analyses, project and R&D works, troubleshooting, and method development and validation. In this job you will work closely with other research specialists, research assistants, researchers, experts and project managers and line managers in cross-functional teams mainly from Technology & Innovation, and Production/Refinery. 

In our team, the work is done independently, but support to others and collaboration is essential for our success. You will work engagingly with other teams, i.e Feedstock & Pretreatment, Organic (Analytics), Supply Chain, Quality Control, etc. Together with your expertise, we can do meaningful work to drive Neste forward.

Reasons to join

We operate in an inspiring and evolving business environment as a global leader in renewable fuels. We contribute to Neste’s success by living our values every day: we care, we have courage, we cooperate.

We prioritize safety at all times and in every location. We strive to create a positive and impactful work environment.

Transformation brings new possibilities and fosters our courage and curiosity. As a global  company, we support personal development with versatile learning and career opportunities. Collaboration is key, and we believe in flexible, smart ways of working.

More about the job

Your role in our team

• Run inorganic analytical testing like acid digestion, preparing standard solutions, and running pre-set and/or new methods on instruments such as ICP-MS, IC and other wide range inorganic analysis.

• Records raw experimental data and prepares spreadsheets for a review. Performs data analysis, interpreting and identifying substances and/or properties in material complexes.

• Develop and validate new inorganic analytical methods for various samples.

• Acts as a subject matter expert who can design experiments/testing and troubleshoot complex instrumental failures and challenging data processing.

• Conduct risk assessments for new chemical protocols, monitor overall lab compliance and safety, in addition to managing bench-level safety and safety responsibilities in HSSEQ. 

Keys to success in this role / The best combination to succeed in this role

• B. Sc. / B.S. in Materials Chemistry / Chemistry / Inorganic Chemistry / Analytical Chemistry or a related field from a reputable university.

• Several years working experience with wide competence in inorganic analytics would be required. 

• Hands-on experience experience in inorganic chemistry, method development, and solid/liquid materials characterization techniques including but not limited to;

  • ICP-MS/MS / ICP-OES

  • Ion Chromatography (IC)

  • Physicochemical properties measurements; Moisture Content, Slip Melting Point (SMP), Iodine Value (IV), Free Fatty Acids (FFA), Density, Flash Point etc.

• Practical experience in wet chemistry: proficiency in titrations, gravimetric analysis, and complex acid digestions (e.g., microwave or hot plate).

• Very good understanding in inorganic chemistry, chemical instrumentation and chemical analytics, method validation and R&D project work.

• For data analysis, able to interpret complex spectra/findings, perform statistical validation, and utilize LIMS.

• Proficiency in complex chemical analytics.

• Fluent English language skills.

• Responsible attitude, safety-oriented and R&D-mindset.

Other strengths we value

• Exceptional attention to detail and precision in analytical measurement.

• Strong troubleshooting skills for analytical instruments and data.

• Ability to distill complex chemistry analytical data into clear, actionable insights for technical and non-technical stakeholders.

• Effective technical writing for research, project and finding reports.

Let’s get you started

We look forward to receiving your CV and application (with a salary request) by 27 April 2026.

Due to security and confidentiality, please submit your application through our recruitment system. Applications sent via email will not be considered.

We will do our best to contact you after the application time has ended. The recruitment process will include interviews and a possible aptitude assessment. (The person selected for the position must pass a health examination including a drug test. A security clearance is obtained with your consent.)

Neste in brief

Neste (NESTE, Nasdaq Helsinki) is the world's leading producer of renewable diesel and sustainable aviation fuel (SAF), with production on three continents. The company’s renewables production capacity is expected to reach 6.8 million tons annually in 2027. Neste also produces high-quality oil products at its Porvoo refinery in Finland. The company has a network of nearly 1,000 fuel stations with expanding service offering, such as EV charging, in Finland and in the Baltics.

Neste’s strategy focuses on growth in renewable fuels, which help its customers to reduce their greenhouse gas emissions. Neste is included in many international indices for its sustainability performance. In 2025, Neste's revenue stood at EUR 19.0 billion. Read more: neste.com

• Algorithm Development: Support the development of route optimization andmotion planning algorithms (graph search, sampling, or optimization-basedmethods) based on designs provided by the research team.

• Software Development: Writeclean, maintainable, and efficient C++ code to integrate planning modules intothe core autonomy stack.

• Simulation & Validation:Own the end-to-end testing of planning stacks in simulation. You will beresponsible for identifying "corner cases," debugging planningfailures, and ensuring trajectory smoothness.

• Performance Optimization:Assist in profiling and optimizing existing algorithms to ensure they meetreal-time constraints and operate efficiently on embedded hardware.

• Field Testing & Analysis:Participate in real-world vehicle testing. Analyze logs and telemetry data totroubleshoot behavior inconsistencies and improve system reliability.

• Cross-Functional Support:Collaborate with the Perception and Control teams to ensure seamless data flowand coordinate transform accuracy across the stack.

Required experience

• Educational Background: Master’s or Bachelor’s degree in ComputerScience, Robotics, Engineering, or a related field. A strong academicfoundation in path planning or autonomous systems is required.

• Programming Proficiency: Solid proficiency in Modern C++. Familiaritywith Python for scripting and data analysis is a plus.

• Robotics Fundamentals: Good understanding of standard planningalgorithms (e.g., A*, RRT*, Frenet frames, or Lattice planners) and basickinematics.

• Hands-on Tools: Experience with Linux (Ubuntu) and ROS/ROS2 isessential.

• Growth Mindset: A proactive "tinkerer" attitude with theability to learn complex new frameworks quickly and a desire to solve"hard" robotics problems.

Our client is actively searching for a Senior Asst Director, Research to join their team!

We are seeking an exceptional strategic leader to serve as Senior Assistant Director, Research within the College. Working closely with the Dean, Associate Dean (Research), and Director (Operations), you will play a key role in shaping and delivering the College’s research strategy, translating vision into programmes, structures and support systems that enable academic excellence, interdisciplinary collaboration, and global visibility.

As the senior professional lead for research, you will oversee the College’s research ecosystem, driving performance, strengthening research impact, and fostering connections across Schools, Research Centres, and external partners. You will lead and enhance research support operations, ensuring high-quality and efficient systems that enable both investigator-led and collaborative research to thrive, while also supporting the development of research centres, major initiatives, and competitive funding opportunities.

Working in close partnership with the Director (Operations), you will help ensure alignment between research strategy, operations, and resource planning across the College, translating strategic priorities into coordinated execution.

With a strong focus on data-informed decision-making, you will provide strategic insight on research performance and influence, while contributing to a research environment that supports diverse scholarship and intellectual leadership.

This is a unique opportunity for a collaborative and forward-looking leader to shape the future of research in a globally ambitious and interdisciplinary environment.

The ideal candidate will need to have the following qualities and experience:

• Bachelor’s degree from a recognized university.
• At least 10 years of relevant work experience in research administration especially in grant sourcing, grant administration (pre-grant award and post-grand award) in an academic and (or) research institutions.
• At least 3 years of people management/ leadership experience.

Skills & Competencies

• Strong interpersonal skills and ability to work effectively with multiple stakeholders across levels and cultures.
• Highly proficient in data analysis and reporting of grant information and research output, financial projection and budgeting.
• Able to handle confidential information sensitively.
• Strong working knowledge of MS Office applications. Knowledge of quantitative data analysis would be a plus.
• Proactive, resourceful, adaptable, hands-on, meticulous, organised and motivated to take on new challenges.

All applicants' CV will be treated with the strictest confidentiality. We regret to inform that only shortlisted candidates will be contacted.

The NCCS Division of Medical Oncology is looking for a passionate and enthusiastic individual to join the Supportive Care, Integrated Treatment, And Rehabilitation to Improve Outcomes in Gastrointestinal Cancer (STRONG) team.

The Research Coordinator plays a key role in supporting patients enrolled in the STRONG program. The incumbent serves as the first point of contact for patient enrolment, guiding patients through the onboarding process and ensuring they receive essential programme information. The role is responsible for administering questionnaire surveys and conducting functional assessments at designated timepoints, enabling timely monitoring of patients’ functional status and treatment progress. Through care coordination and health coaching, the coordinator helps patients navigate their treatment journey and ensures they receive holistic, continuous support from the multidisciplinary team.

Key Duties:

1.Programme Management

• Lead the programme to achieve programme’s objectives
• Collaborate with gastrointestinal cancer team, including doctors, nurses and allied health partners
• Create and revise patient education materials.
• Manage programme’s publicity plan to ensure visibility 

2.Patient recruitment

• Work closely with DMO doctors/ APN to recruit eligible patients into STRONG program.
• Identify and recruit patients who are eligible for STRONG program
• Explain the STRONG program, including its objectives, assessments, and available support services
• Provide patients with essential information (STRONG e-booklet) and contact numbers (APN, CIH, NCCS hotlines)

3.Patient assessment

• Administration of validated questionnaires and functional assessments. 
• Monitor changes in patients’ functional status and coping

4.Care coordination and health coaching

Assist with patient’s queries (in person and through text messaging platforms like WhatsApp, SMS, calls and emails), including but not limited to:

• Clarifications on appointments/ chemotherapy schedules
• Shifting of appointments
• Basic health coaching
• Directing clinical queries to the appropriate healthcare professionals.

5.Administrative work and others

• Input all assessment data and patient communications into Sunrise Clinical Manager (SCM).
• Maintain and update the STRONG program database with relevant information such as patient’s demographics, referrals, assessment results, patient’s progress, etc.
• Make appropriate recommendations based on patient assessment.

Key Requirements:

• Degree in Life Sciences or a related health‑science field (or equivalent).
• Prior patient‑facing experience is an advantage but not mandatory.
• Proficient in Microsoft Office applications.
• Able to communicate effectively in English; ability to communicate with diverse linguistic groups (e.g. Chinese, Malay, Hokkien, Teochew, Cantonese) is advantageous
• Strong interpersonal and communication skills.
• Motivated, patient‑centric, and able to engage various stakeholders (patients, caregivers, healthcare professionals).
• Able to work independently with initiative.
• Comfortable with web‑based tools and communication applications (e.g., WhatsApp, FormSG).

Our client is actively searching for a Manager, Research & Partnerships to join their team!

If you are a dynamic individual seeking a new career opportunity, read further! We are seeking a dedicated and dynamic professional to join us as Manager, Research & Partnerships

You will be responsible for leading the research and partnerships portfolio within the school, providing strategic leadership in building and nurturing collaborations with academia, industry, and government agencies, while strengthening existing alliances and seeking new opportunities for research, education, and industrial engagement. You will oversee the operation of the Associate Chair Research Office, support faculty in research-related matters, ensure compliance with institutional and national requirements, and drive initiatives that elevate the school’s research reputation and impact.

The responsibilities of this role are:

• Manage the day-to-day operations of the Research Office, including coordination of research manpower matters and administrative processes for the unit.
• Support school management in the planning and implementation of initiatives to develop and strengthen the school’s research portfolio.
• Coordinate with the College and relevant offices on the administration of research grants, research agreements, and related documentation.
• Assist in the collation, analysis, and reporting of research data and statistics, working with college offices where required.
• Provide administrative and coordination support for research related publicity materials and submissions.
• Coordinate and support research engagement activities, such as seminars, workshops, courses, and engagement sessions with internal and external stakeholders.
• Serve as a point of contact for research administration matters and participate in committees or initiatives as assigned by school management.
• Ensure compliance with university policies, funding agency requirements, and relevant regulations in research administration activities.
• Provide day-to-day guidance to one direct report, ensuring seamless support for the Research Office’s operations and priorities.

The ideal candidate will need to have the following qualities and experience:

• A recognized Master’s or PhD with at least 2 years of relevant experience in research grant and/or project management.
• Good understanding of the research ecosystem.
• International or interdisciplinary experience in various technical environments, a proven track record in grant management and experience in higher education sector will be an added advantage.
• Strong leadership and interpersonal skills, with the ability to work effectively across all organisational levels.
• Proven ability to collaborate with cross-functional teams and build strong internal and external partnerships.
• Self-motivated, resourceful, and adaptable in managing complex and time-sensitive projects.
• Excellent writing, communication, numerical, and organisational skills with keen attention to detail.
• Able to handle sensitive information with discretion.
• Proficient in MS Office and open to learning new digital tools and applications

All applicants' CV will be treated with the strictest confidentiality. We regret to inform that only shortlisted candidates will be contacted.

The Institute for Digital Molecular Analytics and Science (IDMxS) of the Nanyang Technological University, Singapore, is searching for a Research Fellow to develop artificial intelligence/ machine learning algorithms to support research in IDMxS.

Key Responsibilites:

• Apply/ improve/ develop machine learning algorithms to process (e.g., classify, predict) data/ images collected by IDMxS.

• Help supervise PhD and undergraduate student projects as required.

• Work closely with an interdisciplinary team members from other research clusters at IDMxS.

Requirements:

• PhD in Electrical and Electronic Engineering, Computer Science, or related field, with strong background in machine learning.

• Publications in top-tier journals and/or conference presentations as first author.

• Proficiency in AI programming languages such as Python.

We regret to inform that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Medicine%29/32404-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore is inviting applications for a Research Assistant position in the Department of Medicine at the Yong Loo Lin School of Medicine. The selected candidate will join a team of scientists led by Research Assistant Professor Koh Cho Yeow at the Cardiovascular Research Institute (CVRI). CVRI is committed to addressing cardiovascular diseases through laboratory-based research, clinical studies, clinical trials, health services research, as well as prevention and epidemiology research. We also collaborate with international centers on multinational, multi-center basic and clinical trials. Additionally, we engage in outcomes-related research to establish standards for evidence-based best medical practices in Singapore.

Research Assistant Responsibilities: The Research Assistant will be responsible for studying the mechanism of action, pharmacodynamics, and pharmacokinetics of peptides designed in our laboratory for treating cardiovascular diseases. Additional duties include supporting other collaborative projects and managing related animal and laboratory safety tasks under the supervision of the principal investigator and research fellows.

Main Duties and Responsibilities

Main Duties:

• Design, synthesis and purification of bioactive peptides and proteins.
• In vitro and cell-based assays for functional characterizations of peptides and proteins.
• Prepare and execute surgical protocols involving animals (rodents and rabbits).
• Study the molecular mechanisms behind the pharmacological effects of peptides using animal tissues and cells.
• Supervise and mentor undergraduate students as appropriate.
• Collaborate with colleagues on various projects.
• Present scientific work at seminars and conferences, and draft scientific articles.
• Share responsibilities for laboratory housekeeping and maintenance.
• Ensure safety in the laboratory in collaboration with others.
• Perform additional duties as required to ensure the efficient and smooth operation of the group.

Qualifications

• A master's degree or equivalent in a relevant field of study, or soon to be conferred.
• Familiarity and hands-on experience with peptide design, synthesis, and purification.
• Proficient in basic molecular biology techniques and bioinformatics, including transcriptomic and metabolomic analyses.
• Experience in culturing cardiomyocytes, endothelial cells, fibroblasts, and vascular smooth muscle cells is desirable.
• A good team player who is independent, self-driven, and possesses strong interpersonal skills.
• Willingness to explore new frontiers and learn with a positive attitude.
• An intention to pursue PhD study in the near future.
• Strong computer skills for data analysis and organization.

Applications should include a full curriculum vitae and the names and contact information of three referees. We regret that only shortlisted candidates will be notified.

Role Summary

The incumbent is responsible for plan, develop, and execute semiconductor test programs, perform debugging and analysis, and generate quality reports to ensure our products meet high reliability and performance standards. You will work closely with cross-functional teams including R&D, Production, and Customer Support.

Role Responsibilities

Test Planning & Development

· Develop, document, and execute detailed test plans, procedures, and results based on product requirements and specifications.

· Develop and maintain semiconductor test programs.

· Support electronic circuit design validation.

· Coordinate with customers and internal departments to clarify specifications and requirements.

Test Execution, Debugging & Analysis

· Conduct various types of testing, including functional, integration, performance, and usability testing.

· Execute manual and automated test routines to validate product functionality.

· Use defect tracking tools to identify, document, and analyse issues; provide clear findings and recommendations.

· Ensure test programs meet efficacy, reliability, and quality standards.

Quality Documentation & Reporting

· Record all test procedures, results, and observations.

· Prepare clear and concise reports on product quality and test outcomes.

· Recommend improvements to products and testing processes.

Role Requirements

· Bachelor’s or Master’s degree in Electrical, Electronics, or related field.

· Experience in software/hardware testing, preferably in the semiconductor or electronics industry.

· Basic knowledge of electronic circuit design and logical analysis.

· Proficiency with test equipment (oscilloscope, multimeter, logic analyzer, etc.).

· Experience in programming languages such as C, C++, VB, or equivalent.

· Strong analytical skills with high attention to detail.

· Ability to work independently and manage multiple tasks in a fast-paced environment.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow%2C-School-of-Computing/32398-en_GB/?st=86BAFC77ADD4E6D238EB62D96C91F5FFCD67C1A4

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

We are looking for Research Fellow in the area of Automatic Programming. This position will be part of a Singapore Ministry of Education (MoE) Tier 3, multi-year research program named "Automated Program Repair" which has been funded 2022-2027. This is a large research program involving several research projects in analysis, verification, test generation and applications related to program repair. To see work done on program repair at NUS, kindly see the webpage https://nus-apr.github.io/ The work will involve assured autonomy in software engineering by building on the recent success of the group in building AutoCodeRover, see https://arxiv.org/abs/2404.05427 https://x.com/AbhikRoychoudh1/status/177749400 0611852515?mx=2. 

Qualifications

• Ph.D. in Computer Science or a closely related field.
• Has prior research experience in machine learning and static methods for program repair
• Excellent research skills, including data analysis, interpretation, and scientific writing.
• Strong communication and collaboration skills.
• Ability to work independently and manage multiple tasks effectively. 

Only shortlisted candidates will be notified.

Chugai Pharmabody Research Pte. Ltd.(“CPR”) was established in Singapore as a wholly-owned subsidiary of ChugaiPharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 andstarted operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’sproprietary antibody engineering technologies, such as recycling antibody®,sweeping antibody®, bispecific antibody, various Fc engineered antibodies, andother new antibody engineering technologies that are under development.

Research Assistant (Internship)–Translational Pharmacology Unit

Focus: Animal Husbandry (50%) | Research Support (50%)
(RCULA certification preferred / to be obtained during internship)

Role Overview

This Research Assistant Internship is designed for students seeking foundational exposure to preclinical research and laboratory animal science within a regulated research environment.

The intern will be embedded within the Animal Facility (AF), where animal husbandry and facility operations serve as a learning platform to understand how high‑quality animal care underpins reproducible in vivo research. Under close supervision, the intern will be introduced to basic in vivo research support activities, documentation practices, and compliance requirements.

Given the short internship duration, this role places emphasis on learning, observation, and assisted execution rather than independent or advanced experimental work, while providing hands‑on exposure to animal facility operations, animal welfare practices, and preclinical research support.

Job Scope:

• Support daily animal care, welfare observations, and basic facility operations under guidance.
• Maintain accurate husbandry, task, and basic inventory records.
• Observe and assist in routine in vivo research procedures under supervision.
• Provide preparatory and post‑procedure support for ongoing studies, appropriate to training level.
• Learn how study protocols, documentation, and facility operations support preclinical research.

Requirements

• Interest in laboratory animal care, biomedical research, or life sciences
• Willingness to perform hands‑on husbandry and cleaning tasks
• Ability to follow SOPs and maintain accurate records
• Good teamwork and communication skills.
• Responsible, detail‑oriented, and safety‑conscious
• Comfortable working with animals (mice and rabbits)

Preferred Attributes

• Currently pursuing or recently completed a Bachelor’s degree in Life Sciences, Biomedical Science, or related fields.
• RCULA certification (or willingness to obtain during internship)
• Prior exposure to animal facilities or laboratory environments
• Detail-oriented with a strong sense of curiosity and critical thinking.

What You Will Gain

• Practical experience in laboratory animal husbandry and welfare
• Exposure to regulated research environments and compliance practices
• Hands‑on support in preclinical research procedures
• Training in SOPs, facility operations, and quality documentation
• Mentorship from experienced animal facility and research staff

Fresh graduates with keen interest in in-vivo pharmacology are welcome to apply.

Interested applicants are invited to email their detailed resume, qualifications, availability, current and expected salary to: recruitment@chugai-pharmabody.com

For more information regarding our Company, you may refer to our website at: http://chugai-pharmabody.com/

We regret that only short-listed candidates will be notified.

Join SingHealth AI Office and contribute to cutting-edge artificial intelligence research that transforms healthcare delivery for patients and the community. . You will be part of Singapore's largest public healthcare cluster, developing AI solutions that address real clinical challenges and advance digital health innovation.

We are seeking a Research Fellow to develop and validate AI algorithms for groundbreaking healthcare projects. You will lead technical development, collaborate with clinical teams, and contribute to research publications that position SingHealth at the forefront of AI-driven healthcare innovation.

What You Will Do:

You will develop and validate AI algorithms for digital innovation projects, exploring novel technical methods and serving as a technical lead for cluster-wide AI initiatives. Your role involves coordinating retrospective data collection, collaborating with multidisciplinary teams including coordinators and biostatisticians, and ensuring robust data analysis processes. You will report scientific outcomes to Principal Investigators and collaborators, draft research reports for leadership, and publish findings in international journals whilst disseminating research through reputable outlets. Additionally, you will participate in committees and working groups, undertake management functions as required, ensure compliance with ethical and cybersecurity requirements, and guide junior AI scientists in technical methodologies and publication processes.

Job Requirements:

• PhD qualification
• Experience with clinical research studyprinciples
• Proficiency in coding software, machinelearning, deep learning, and state-of-the-art AI techniques
• Strong analytical and problem-solving skillswith ability to develop creative solutions
• Ability to drive AI activities and explore noveltechnical areas that can translate into the clinical space
• Excellent written and oral communication skillswith strong presentation abilities
• Ability to work independently with dedicationand multitask effectively
• Team-oriented approach with strong interpersonalskills
• Creativity and resourcefulness in technicalproblem-solving

The Earth Observatory of Singapore (EOS) is a University Research Institute at Nanyang Technological University Singapore that conducts fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. For more details, please view https://earthobservatory.sg/

The Earth Observatory of Singapore (EOS) invite applications for the position of Research Assistant.

The Research Assistant will join a new project awarded by the Public Utilities Board (PUB) and Coastal Protection and Flood Resilience Institute Singapore (CFI) collecting data from the Johor Strait to better protect Singapore’s coastline amidst climate change. This is an international, multi-institutional and trans-disciplinary program involving top researchers from the local and international community that aims to understand sediment budgets and source-to-sink relationships. Understanding the relationship between local climate drivers, coastal processes and sediment dynamics will allow for improved predictions of coastal change under the variety of climate scenarios in the coming decades.

The work will involve assisting in the preparation and coordination for field surveys, organization and management of field and lab equipment, purchases and procurement assisting in laboratory analyses and communications for internal reporting and preparing external reports. Active participation in research will be encouraged, and support for publication and meeting/conference presentations can be available.

Key Responsibilities

• Coordinate, monitor and track all project submission of grant progress, claims, deliverables and other documents to ensure timely response and adherence to the service delivery

• Maintain efficient data collection to ensure accuracy and completeness of data and preparation of the Data Management Plan for annual submission

• Manage and monitor research grant utilization and budget expenditures including but not limited to procurements, expenditures, billings.

• Maintaining documentation record of all grant expenditure on field trips, business trips and equipment purchase

• Plan and manage field and business trips logistics

• Ensure funds are utilized in accordance with funding guidelines

• Assist in the preparation and writing of progress reports and academic papers

• Coordinate various activities (i.e., project meetings) within the research team

• Engage in the dissemination of the results of the research with the support of and under the supervision of the Principal Investigator

Job Requirements:

• Bachelor’s degree with at least 1 year of working experience; degree in the Earth Sciences or Geography will be an advantage.

• Ability to work independently and possess strong follow-through skills

• A team player in a project setting, also with ability to work independently in a multi-cultural team environment

• Experience with government-funded research grant management will be an advantage

• Excellent planning and coordination skills

• Demonstrated good analytical and problem-solving skills

• Excellent interpersonal and communication skills

Interested applicants are invited to submit a full CV and work sample.

EOS seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status, family responsibilities, or disability

We regret to inform that only shortlisted candidates will be notified.

About the job

Market Research & Product Development Analyst (Singapore / London)

We are seeking a motivated and analytically strong professional to join our Product Development team as a Commodity Derivatives Market Research & Product Development Analyst.

This role supports the research of relevant commodity markets as well as interacting with the design, and enhancement of Abaxx derivative contracts with the goal to create market relevant products to maximize robust price discovery and liquidity opportunities.

Key Responsibilities

• Conduct ongoing research into global commodity markets, with focus on Precious Metals, Battery Materials, LNG, Power and environmental products.
  
• Research physical and Listed/OTC derivatives markets with focus on supply-demand fundamentals, seasonality, and macroeconomic drivers to offer product development opportunities and empower the commercial team.
  
• Monitor competitive exchange offerings and global market developments to identify product gaps and innovation opportunities.
  
• Engage with market participants across client segments to gather market feedback and insights.
  
• Assist in drafting and reviewing contract specifications, including delivery terms, settlement methodology, contract size, tick value, and expiry structure with full trade life cycle perspective.
  
• Contribute to market supervisory activities in coordination with risk and regulatory teams.
  
• Support the development of analytical reports, market commentary, and internal dashboards for product, sales, and strategy teams with the potential for external client and/or event presentations, if desired.
  

Required Qualifications

• Bachelor's degree in finance, economics, mathematics, engineering, statistics, or a related field.
  
• 5+ years of relevant experience in commodity markets, price reporting derivatives analysis, exchange operations, product management, or market research.
  
• Solid understanding of exchange-traded derivatives and commodity market pricing.
  
• Familiarity with exchange rulebooks, contract specifications, and product approval processes.
  
• Understanding of regulatory frameworks applicable to derivatives markets (e.g., SFA, CEA, EMIR, , MiFID II).
  
• Experience using market data platforms such as Bloomberg, Refinitiv, and/or exchange analytics tools.
  
• Strong analytical skills with proficiency in Excel and at least one analytical or programming tool (e.g., Python, R, SQL).
  
• Ability to communicate technical concepts clearly to internal and external stakeholders.
  

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-in-Quantum-Computing/32392-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing. 

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at https://www.cqt.sg/

Job Description

The successful candidate will drive research at the intersection of Condensed Matter Theory, Quantum Computing and Quantum Information Science to generate insights for fault-tolerant quantum computing. The successful candidate is expected to: 

• Leverage deep theoretical insights in many-body physics and integrable systems to design and simulate circuits for robust state preparation and error-mitigation
• Design and execute experiments for state preparation and error-mitigation
• Analyze complex datasets and maintain meticulous records of methodologies and findings
• Author high-quality manuscripts for peer-reviewed journals and present research at international conferences
• Contribute to the drafting of presentations, research proposals and grant applications to secure future funding

Qualifications

• PhD in Theoretical Physic specializing in condensed matter theory, or closely related fields 
• Experience translating the theories of many-body physics and integrable systems, or related topics, into quantum computing applications is preferred
• Proficiency in Python (required) and/or other programming languages
• Experience with Guppy and/or know-how using the Quantinuum quantum software stack 
• A strong record of research productivity evidenced by first-author publications in reputable, peer-reviewed journals.
• Able to work both as an independent researcher and in multidisciplinary team environment

Research Associate in Implementation and testing of AI models – Embodied AI

The project Embodied AI for Human-Robot Collaborative Task Execution is looking for a Research Associate in Embodied Artificial Intelligence (EAI) – Enhancing robotic foundation models for human-robot collaborative task execution. The overall goal of this project is to investigate how robotic platforms can combine the capabilities of robotic foundation models (VLAs/VLMs)in generalized reasoning and policy formulation with RL-based approaches for trajectory and manipulation generation to provide fast, optimized and anticipatory assistance to humans while co-executing a task.

DESCRIPTION OF THE JOB POSITION

You will be part of our team developing fundamental capabilities that combine recent and rapid  advances in robotic foundation models with traditional control-based approaches for human-robot collaborative task execution for various industrial tasks.

The successful candidate will be involved in some or all of the following tasks:

•             Software development activities, involving implementation of AI algorithms (e.g., Training models for computer vision, robotics, multi-modal perception etc.), along with maintenance of relevant in-house hardware and software systems for experimental EAI testbeds.

•             System integration of robotic modules for real-world demonstrations of robotics applications. Efficient implementation of AI models on resource-constrained devices (Eg. Jetson family of devices, robotic platforms, VR/XR platforms such as HoloLens).

•             Development of experimentation and data collection platforms for EAI research involving human-robot collaboration, including activities such as effectively setting up sensors on the robots as well as wearable sensors on human subjects performing joint-tasks with the robots.  

•             Actively participate in R&D activities including data collection experiments, software development, testing and deployment of intelligent systems and scientific writing/demonstrations.

EXPERIENCE & QUALIFICATIONS

Minimum:

– Bachelor or Masters Degree in a relevant field of Engineering (Computer Science, Electrical, Electronics, Robotics etc.).

– Background and experience in the following areas: Implementation and testing of AI models; Development activities for edge AI on resource-constrained devices; Experience with wearable platforms such as HoloLens, EMG/IMU units.

– Experience with camera-based and non-camera based sensors(mmWave RADARS, LiDARs etc) for sensing and monitoring of human movements and activities; Experience in robotic software development (ROS, Gazebo, Isaac Sim).

– Experience with hardware platforms such as Jetson, ESP32, Commercially available robots and drones etc.; Experience in system administration and maintenance of computer servers and systems involving multiple high-end GPUs.

– Hands-on experience in using latest machine learning frameworks for model development and experimentation.

FURTHER INFORMATION & CONTACT

Gross Monthly Salary Range (SGD): 5,500 to 7,000 (depending onsuitability and experience).

Duration of the contract: 1 year contract

Workplace address: CREATE Campus, CREATE Tower, 1 Create Way #08-01 Singapore 138602.

Interested applicants, please send your your full CV, with the names and contacts(including email addresses) of two-character referees to:

–      Archan MISRA archanm@smu.edu.sg

–      Vigneshwaran Subbaraju vigneshwaran_subbaraju@a-star.edu.sg

Full-Time Science Tutor – Job Description

We are seeking a committed Full-Time Science Tutor to teach and support students across IB and IGCSE curricula. The tutor will deliver engaging instruction in Biology, Chemistry, and Physics, helping students strengthen scientific understanding, inquiry skills, and exam readiness. The role requires the ability to teach and communicate effectively in both English and Chinese.

Key Responsibilities

• Teach Science to students from primary to high school.
• Deliver lessons in Biology, Chemistry, and Physics as needed.
• Guide students in scientific inquiry, lab skills, investigation writing, and data analysis.
• Prepare students for internal and external assessments, exams, and practical components.
• Support school coursework, lab reports, IAs, and revision planning.
• Provide differentiated instruction to meet diverse learning needs.
• Track progress, offer constructive feedback, and maintain academic records.
• Collaborate with parents and the academic team to ensure learning goals are met.
• Foster curiosity, scientific thinking, and a positive learning environment.

Requirements

• Bachelor’s degree in Science (Biology, Chemistry, Physics) or Science Education.
• Experience teaching international curricula (IB/IGCSE) preferred.
• Strong understanding of inquiry-based learning and scientific methodology.
• Excellent communication, classroom management, and problem-solving skills.

Preferred Qualifications

• Experience with IB Sciences (Biology, Chemistry, Physics).
• Knowledge of IGCSE Physics, Chemistry, and Biology syllabi.
• Experience guiding students through lab reports, IAs, and investigation tasks.
• Previous tutoring or international school teaching experience.

Application Procedure

Interested candidates are invited to submit the following materials:

1. Updated Resume/CV detailing relevant teaching experience and qualifications.
2. Cover Letter outlining your teaching philosophy and experience with IB, IGCSE, and international curricula.
3. Relevant Certificates (e.g., degree, teaching qualifications, training in IB/IGCSE).
4. Expected Salary and earliest available start date.

Shortlisted candidates will be contacted for:

• Initial interview,
• Teaching demonstration or trial lesson, and
• Final interview with the academic team.

Applications should be sent to hr@onwardsec.com. Only shortlisted applicants will be notified.

• 5 Work Days, 8.30am-5.30pm / 9am-6pm 

• Office Near to Kaki Bukit MRT, Singapore 

• Medical Benefits Provided 

  Entitled to Yearly Bonus & Performance Bonus 
  

Job Requirements: 

1. Preferable Master's Degree in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. 

2. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. 

3. Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills 

4. Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. 

5. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. 

6. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus 

7. Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus. 

8. Strong logical thinking and problem-solving ability, able to independently undertake the research and tackling of complex problems and team spirit are highly valued traits. 

Job Responsibilities: 

• Algorithm Development: Development and optimization of machine learning and deep learning algorithms to solve complex business problems. 

• Model Training and Evaluation: Participate in the construction and training of artificial intelligence models, including but not limited to neural networks, decision trees, etc., evaluate and optimize the models to improve their performance and accuracy. 

• Data Analysis and Preprocessing: Conduct data collection, cleaning, preprocessing and feature engineering, provide high-quality data for model training, and arrange and guide data labelers to carry out data labeling and other work. 

• Collaboration and Deployment: Collaborate with team members to integrate algorithm models into actual business systems, promote the implementation of projects, and realize the intelligent upgrading of products. 

• Research and Innovations: Stay up to date with the latest advancements in AI and ML technologies. Explore and deploy new technologies, drive innovations to create value to market needs, and enhance the company’s competitiveness. Audio and video algorithms for surveillance/monitoring applications which also include the research and implementation of algorithms involving target detection, feature extraction, tracking, and recognition. 

• Documentation and Reporting: Maintain comprehensive documentation of algorithms, experiments, and project workflows. Communicate results and findings to technical and non-technical stakeholders. 

Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. 

Our Products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. 

Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. 

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28AI-Driven-Autonomous-&-Smart-Manufacturing%29%2C-Division-of-Industrial-Design/32423-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

NUS Centre for Additive Manufacturing (AM.NUS) is inviting applications for the position of Research Engineer in AI-Driven Autonomous and Smart Manufacturing, with a focus on Additive Manufacturing (AM). 

•    Develop AI-driven frameworks that integrate LLMs, agentic AI, and multimodal foundation models for autonomous and smart manufacturing applications, with emphasis on additive manufacturing.
•    Fuse multimodal sensor data, reinforcement learning, and vision–language models to enable real-time defect detection, process monitoring, and intelligent decision-making.
•    Support internal capability development and execute collaborative projects with academic researchers and industry partners.
•    Assist in preparing technical reports, documentation, and contribute to publications and grant proposals where applicable.
•    Assist laboratory safety and procurement whenever necessary.

AM.NUS leverages the National University of Singapore world-class faculties, expertise and advanced capabilities in 3D printing technology, to bring innovative products to the field of healthcare that will improve patient outcomes and change lives for the better. 
AM.NUS explores a whole new dimension in medicine, applying ground-breaking 3D printing technology for personalised patient treatments.

AM.NUS is the only multi-disciplinary Additive Manufacturing (AM) centre in an Institute of Higher Learning in Singapore which comprises five Faculties (Medicine, Science, Engineering, Dentistry and Design & Environment). The Centre is supported both internally by NUS and externally by National Additive Manufacturing Cluster (NAMIC) and Singapore Economic Development Board.

Qualifications

●    Bachelor degree in Mechanical Engineering, Manufacturing Engineering, Computer Science, Artificial Intelligence, Industrial Design or a closely related field.
●    Strong background in additive manufacturing and smart manufacturing systems.
●    Proven expertise in machine learning and AI, including experience with LLMs, multimodal models, or reinforcement learning.
●    Experience with engineering design and simulation tools (e.g., AutoCAD, SolidWorks, FEA) is an advantage.
●    Experience with digital twins, knowledge graphs, or cyber–physical systems is an advantage.
●    Proficiency in written and spoken English. 

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-in-Energy-Studies-Institute-%28Market%2C-Society-and-Policies-for-Decarbonisation%29/32427-en_GB/

We regret that only shortlisted candidates will be notified.

Energy Studies Institute

The Energy Studies Institute (ESI) is a research institute at the National University of Singapore seeking to advance the understanding of energy policy issues by conducting independent research and analysis.  We are looking for researchers to join a multi-disciplinary team carrying out research projects on a range of energy issues that are of concern to Singapore and the region.

The Institute is looking to recruit a researcher with expertise in energy and climate change policy at the rank of Research Fellow. The appointed staff will operate under the responsibility of the Institute Head and work closely with all members across each of the institute’s divisions. Candidates are expected to be highly familiar with i) climate change and decarbonisation issues and ii) quantitative or qualitative analysis methods. An understanding of Singapore's energy and economic system and local work experience is desirable.

Job Description

The specific area of work will depend on the institute’s priorities at any given point in time. In the near term, to support ongoing research within the institute, the appointed candidate will be expected to contribute to the analysis of various energy transition and decarbonisation strategies. Examples of priority areas include:

• Evaluating public awareness of and attitudes towards energy transition;
• Estimating willingness to pay (WTP) for low-carbon options;
• Conducting comparative analysis of the governments’ strategies to support energy transition, including electricity market reform, renewable energy deployment, and public communication of policy;
• Assessing the impacts of policies and green/climate finance instruments on energy transition. 

This list is not exhaustive. Moreover, at any given point in time, the institute undertakes multiple projects in parallel, and opportunities will exist to participate in a variety of workstreams that align with your interests.

Job Requirements

• Possess a PhD degree in economics, public policy, sociology, finance, or other related fields, with specific application to energy, environmental or climate issues.
• Relevant work experience of a minimum 2 years, preferably in academia, consulting or policy review and formulation.
• Applicants should have demonstrated experience in quantitative and/or qualitative policy analysis, with a sound understanding of relevant research methodologies. Expected skillsets include one of the following:Econometric methods for causal inference;Survey design and analysis;Economic valuation techniques;Qualitative comparative analysis (QCA) and process tracing;System dynamics
• A good contemporary understanding and interest in energy and climate issues. Relevant areas may include, but are not limited to:Electricity market;Renewable energy;Carbon pricing and carbon markets;Green/climate/transition finance
• Relevant practical experience in industry or government agencies in the area of energy and environment would be valuable.
• Track record of publications in reputable journals would be an advantage.
• Able to work independently and as part of a team.
• Have a strong written and oral command of the English language, as the applicants are required to write academic papers and do presentation in international conferences

Application Process

To apply for this position, please combine the following documents in 1 PDF and attach it under the CV column when submitting your application to the NUS Career Portal:

• Curriculum vitae
• A cover letter, of no more than 800 words, explaining the applicant’s past research experience and aptitude in relation to the research work

Only shortlisted applicants will be notified. Shortlisted applicants may be called for interview, either in person or by zoom, as appropriate. If you have not heard from us within 3 months, you should assume that your application has not been successful.

Highlights:

• West Area

• Day Shift

• 1 year contract renewable, 13th Month AWS, US Pharma MNC

• Provide Training to be a Research Nurse

Job Description:

• To screen study participants in accordance with regulatory guidelines and ethical standards.

• To conduct informed consent discussions and ensure participants understand the study's requirements.

• To monitor patient progress and collect data during clinical trials, ensuring accurate documentation.

• To administer study-related interventions as per protocol, including medications and treatments.

• To conduct assessments and follow-ups with participants, addressing any concerns and providing education.

Requirement:

• Diploma/Degree in Nursing, Valid SNB & BCLS a

• Able to perform Phlebotomy, Cannulation

Interested candidates please send a copy of your resume in MS Word to

clinicalresearch@recruitexpress.com.sg

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No 199601303W

EA Licence No. 99C4599

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Relative-smooth-optimization-theory%29/32393-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

In recent decades, we have witnessed significant progresses in the convergence and complexity theory of the first-order optimization methods, with gradient global Lipschitz continuity (GGLC) assumption playing a central role, in many classical results. However, a large class of important problems arising in modern optimization and machine learning do not satisfy this assumption. As a result, there remains a substantial gap between the theory and practical behavior of many widely used algorithms.

This project, led by Dr. Zhang, aims to strengthen the theoretical foundation of relative smooth optimization, an emerging framework developed to go beyond the classical GGLC setting. In particular, the project will study first-order methods under relative smoothness, with a focus on nonconvex problems, more appropriate optimality measures, and new non-Euclidean Lipschitz tools that better capture the underlying problem geometry. The goal is to establish sharper convergence and complexity results, clarify several widely adopted but potentially misleading arguments in the current literature, and develop a more reliable and powerful new analysis framework for the relative smooth problem class.

Job Requirements

Interested applicants are required to possess a PhD in 2026. He/she should have a good understanding in

1.    convergence and complexity analysis for (nonconvex) optimization algorithms 
2.    variational inequalities and duality theory
3.    stochastic process and martingale theory
4.    semi-algebraic and subanalytic geometry
5.    stochastic approximation methods
6.    dynamical systems

The applicant should also be experienced in MATLAB and Python coding. In particular, he/she should have the ability to adapt base codes of PyTorch to implement new algorithms instead of calling built-in functions.

In addition, experience in GPU-based acceleration of large-scale algorithms will be an advantage. Familiarity with implementing or adapting first-order methods on GPU platforms, as well as handling large-scale matrix-vector computations efficiently, is preferred.

Responsibilities:

•             Providesassistance to the research team

•             Screensand recruits suitable patients to participate in the research project

•             Briefspatients on research background and rationale and to obtain their consent ofparticipation

•             Collectsdata from patients' medical records and research statistics

•             Helpsdocument adverse events / reactions that arise

•             Performsphlebotomy and venepuncture when required

Requirements:

•             MinimumDegree/ Diploma in Nursing

•             Min 3years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume inMS Word to

nurse@recruitexpress.com.sg

Anthea Lim

Outsourcing Team

Company Reg. No. 199601303W

EA Licence No. 99C4599

Job Summary

We are looking for an independent scientist capable of leading a research program in Immunology & Inflammation research, fostering collaborations, securing competitive grants, and contributing to translational outcomes.

Core Competencies (Broad & Non‑Restrictive)

• Strong expertise in molecular and cellular biology, with experience in genomics or epigenomics‑related approaches.
• Ability to interpret and integrate NGS datasets (e.g., transcriptional or chromatin profiling such as ChIP‑seq) as part of their research program.
• Demonstrated track record in securing peer‑reviewed national grants.
• Experience working within Singapore’s research ecosystem and building multi‑institutional partnerships including with clinical partners.
• Interest and experience in translating scientific discoveries toward clinical or industry impact (e.g., IP, collaborations, translational grants).

Key Responsibilities

• Lead an independent research program aligned to the lab’s and institute’s strategic priorities, with flexibility in disease area or biological focus.
• Develop a sustainable funding pipeline as PI/Co‑PI across basic, clinical, and translational research schemes.
• Guide research direction and technical strategy, including experimental and/or computational aspects of high‑throughput sequencing workflows.
• Mentor junior researchers (students, fellows, and research staff) and foster scientific development within the team.
• Strengthen translational pathways, including IP generation, collaboration with tech‑transfer offices, and engagement with relevant industry or clinical stakeholders.

Requirements

Education & Experience

• PhD in a relevant Life Science field.
• Approximately 5–10 years post‑PhD research experience with evidence of independence and leadership.

Technical Strengths

• Proficiency in molecular biology and functional assays.
• Experience with genomic or epigenomic techniques (e.g., NGS, transcriptional profiling, chromatin mapping methods).
• Familiarity with analysis or interpretation of high‑throughput sequencing data (e.g., RNA‑seq, ChIP‑seq, ATAC‑seq).

Additional Skills

• Strong communication skills for grant writing and stakeholder engagement.
• Demonstrated ability to collaborate across disciplines, including interactions with clinical partners.
• Leadership capability and commitment to mentoring.