Total 20 research assistant job vacancies in The United States of America

Job description
The candidate will be part of a team solving computational bioengineering problems. The responsibilities include but are not limited to:

• Research, develop and evaluate algorithms and implementations
• Work with team members to develop disease transmission models
• Brainstorming technical solutions

Job requirements

• Master or Bachelor degree in chemical engineering and bioengineering related fields
• Strong programming skills in Python (preferred) or R
• Knowledge and demonstrable experience in academic research
• Smart and hardworking individual who can work under pressure within a tight deadline
• A good team player with can-do attitude
• Solid communication skills and problem-solving skills

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Major responsibilities as a Research Scientist in IMCB will include hands-on execution of In vitro & in vivo disease model development, validation and experiments to evaluate compounds for efficacy in various animal models of diseases with clinically-relevant endpoints, especially with experience to handle rodents.

• Independently responsible for all in vivo work including associated administrative work
• Responsible for interaction with clients and collaborators for securing, managing and delivery of the projects
• Responsible for writing and securing grants to support the team

Requirements:

• PhD Degree in Biological sciences/ Pharmacology or equivalent.
• 6-8 years of experience of either academic/industrial preclinical research
• Proficiency and hand on experience in cell culture, molecular biology techniques
• Working knowledge and hands on expertise in pre-clinical in vitro/in vivo pharmacolog
• toxicology assays and should possess solid understanding of pathophysiology of various diseases
• Well versed with various techniques of rodent animal handling, drug administration by different routes (IV inj, IP inj, SC Inj, IM inj, oral dosing), anaesthesia, rodent surgical techniques, and euthanasia.
• Familiarity with GLP regulations and ICH/FDA guidelines for the conduct of toxicology studies to support regulatory filings.
• Broad understanding of FDA & ICH guidelines.
• Experienced in scientific data compilation, conduct data interpretation, reporting of study results & conclusions, Statistical analysis, Report writing & archiving.

Competencies:

• Excellent communication, interpersonal and leadership skills.
• Experienced in scientific data compilation, conduct data interpretation, reporting of study results & conclusions, Statistical analysis, Report writing & archiving.
• Good working knowledge in scientific and statistical software (Graph pad prism 4.0).
• Good organizational, prioritizing and follow-up skills.
• Ability to write appropriate and relevant SOP"s and protocols.
• Ability to handle multiple tasks/projects simultaneously.
• Ability to work well under pressure, with minimal supervision, and to interact with a variety of clients.

Job description

The Research Fellow in Bioinformatics will play a key role in advancing our research initiatives by providing expert analysis of next-generation sequencing (NGS), focusing on single-cell sequencing, epigenetics data (including ChIP-seq and Ribo-seq), and integrating various multi-omics datasets. This position offers a unique opportunity to collaborate with a multidisciplinary team of leading immunologists, oncologists, and computational scientists. The successful candidate will engage in cutting-edge research that encompasses a wide range of data types, from mouse and human to cancer and various other diseases. Utilizing their bioinformatics skills, the fellow will drive innovation in understanding and developing new treatments for diseases.

Roles and Responsibilities:

• Perform advanced single-cell analyses to identify distinct cell phenotypes and interactions, elucidating the transcriptomic landscape that drives tumor progression and responses to treatments.
• Execute epigenetic analyses and integrate these with single-cell data to provide comprehensive insights.
• Develop and implement pipelines for integrative multi-omics analysis that merge various data types (genomic, transcriptomic, epigenetic, etc.). This aids in a complete understanding of biological systems and disease mechanisms.
• Work collaboratively with an interdisciplinary team of biologists, clinicians, and computational scientists to contextualize findings within complex disease landscapes.
• Manage data curation and ensure the integrity and accessibility of datasets.
• Maintain up-to-date knowledge of bioinformatics methodologies and stay informed about new technologies and computational tools.
• Communicate findings through scientific publications, presentations, and reports for both academic and non-academic audiences.

Job Requirements:

• PhD in Immunology, Bioinformatics, Computational Biology, Systems Biology, or a related field.
• Minimum of two years of relevant experience in omics data analysis.
• Proficient in programming languages such as R and Python, with extensive use of bioinformatics tools and public databases.
• Demonstrated expertise in statistical data analysis and the application of machine learning.
• Skilled in using data visualization tools and software.
• Knowledge of immunology and molecular biology principles.
• Proven publication record in peer-reviewed journals within the bioinformatics field or related areas.
• Exceptional problem-solving skills, capable of working independently and collaboratively.
• Excellent communication skills, both written and oral.
• Advanced programming skills in R and Python.
• Experience with server-based and high-performance computing environments.
• Experience in computational tool development.
• Expertise in managing and analysing large datasets from various omics platforms.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

JOB DESCRIPTION:

We are seeking a dedicated Research Officer to join our team in developing an innovative artificial intelligence (AI) solution aimed at predicting responses to cancer immunotherapy (IO). The role involves assisting in the development and implementation of deep learning models, participating in data analysis, and interpreting multiplex immunofluorescence and histological images. The successful candidate will contribute to identifying and validating novel spatial biomarkers, collaborate in the design and execution of experiments, assist in the preparation of scientific reports, presentations, and publications, and actively engage in interdisciplinary team meetings and discussions. This role is a unique opportunity to contribute to a cutting-edge area of cancer research and AI application.

JOB REQUIREMENT:

• Bachelor’s degree in the field of bioinformatics, computer science, computer engineering, Life Sciences, or other data science intensive program.
• Proficiency in deep learning, machine learning, and image analysis, using Python, R, and GPU computing.
• Basic knowledge on cancer biology, bioinformatics, biostatistics.
• Possess minimum 1 year of relevant work experience.
• Ability to work independently to translate research ideas into programs with efficient coding.
• Good team player with both research and data analytics ethics.
• Strong desire to learn in a dynamic multi-disciplinary research environment.
• Highly motivated, committed, independent, and have passion for research.
• Proficiency in project management and multitasking, strive under pressure.
• Meticulous, good analytical, technical, and problem-solving skills.
• Good interpersonal, communication and organizational skills.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

A*STAR Infectious Diseases Labs (A*STAR ID Labs) is seeking for a Research Officer to join us in our mission to be a leading centre of infectious diseases research. A*STAR ID Labs aims to develop a cohesive A*STAR response to drive and deliver translational infectious diseases research to better health and economic outcomes.

Job Description:

• To focus on bridging the knowledge gap of vector–pathogen-host interactions in mosquito-borne disease transmission. To understand the immune and pathogenic mechanisms during mosquito borne-virus infection to guide the development of targeted and effective control and treatment strategies
• Conduct laboratory experiments in vaccine/drug testing and perform data analysis for industry/research collaboration projects
• Work with patient cohorts and relevant models (both in vitro and in vivo) of infectious diseases
• Perform meticulous recordkeeping and able to draft delivery report to industrial partners
• Perform maintenance of inventory and procurement of laboratory consumables
• Ensure safe technical practices and procedures

Job Requirements:

• Bachelor Degree in Biomedical Sciences, Biochemistry, Life Sciences, Biological Sciences, Infectious Diseases, Microbiology, Immunology, Biochemistry or related field
• 1 to 2 years of relevant experience or applicants with relevant academic experience are welcome to apply.
• Experience with cell culture models, mouse models, animal studies, cell biology, flow cytometry, serological and molecular techniques, handling with BSL-2 and BSL-3 pathogens will be an asset
• Experience with industry project management
• Strong background in Microbiology, Immunology, Molecular Biology, Biochemistry, Genetics and Genomics
• Highly motivated and able to work independently
• Team player with good interpersonal skills
• Good spoken and written communication skills

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Overview:

We are seeking a highly motivated and experienced Lead Research Officer with expertise in synthetic biology and bioinformatics to spearhead our innovative projects at the intersection of these fields. The ideal candidate will drive forward our research agenda, leveraging their deep understanding of synthetic biology principles and bioinformatics tools to lead interdisciplinary teams towards project success. This role requires strong leadership, technical proficiency, and strategic thinking to advance our scientific objectives and contribute to groundbreaking discoveries in synthetic biology.

Responsibilities:

Strategic Research Leadership:
Lead the design and execution of research projects at the forefront of synthetic biology, integrating bioinformatics approaches for data analysis and interpretation.
Develop and communicate a clear scientific vision, setting strategic research goals aligned with organizational objectives.

Project Planning and Execution:
Develop comprehensive project plans, timelines, and milestones in collaboration with cross-functional teams.
Oversee project execution, ensuring adherence to timelines, budgets, and quality standards.
Provide scientific guidance and technical expertise to research teams, troubleshooting challenges and driving innovative solutions.

Bioinformatics Analysis and Integration:
Apply bioinformatics tools and methodologies to analyze genomic, transcriptomic, and proteomic data relevant to synthetic biology projects.
Integrate bioinformatics analyses into experimental design and data interpretation, driving insights and guiding research directions.

Team Leadership and Mentorship:
Mentor and support team members, fostering a collaborative and inclusive research environment.
Provide scientific leadership, guidance, and technical training to research staff, empowering them to excel in their roles.

Communication and Collaboration:
Communicate research findings, progress, and implications to internal and external stakeholders through presentations, publications, and reports.
Collaborate with academic and industry partners to leverage complementary expertise and advance research objectives.

Regulatory Compliance and Ethical Standards:
Ensure compliance with regulatory requirements and ethical standards governing synthetic biology research.
Collaborate with regulatory affairs teams to facilitate regulatory approvals and adherence to best practices.

Requirements:

• B.Sc in Synthetic Biology, Bioinformatics, Molecular Biology, or related field.
• At least 8 years of relevant experience
• Extensive experience leading interdisciplinary research teams in synthetic biology or related fields.
• Proficiency in bioinformatics tools and programming languages commonly used in genomic and proteomic analysis (e.g., Python, R, BLAST, UCSC Genome Browser).
  Strong understanding of synthetic biology principles and techniques, including DNA synthesis, assembly, and characterization.
• Excellent leadership, communication, and interpersonal skills, with a track record of fostering collaboration and innovation.
• Experience with regulatory compliance processes and standards applicable to synthetic biology research (e.g., biosafety regulations) is preferred.
• Demonstrated ability to develop and execute strategic research plans, driving scientific advancement and contributing to organizational goals

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

SIgN is looking for a Business Development Officer to support business development, manage relationships between SIgN and its key partners as well as support the institute’s overall Research and Innovation goals.

Role & Responsibilities:

• Industry Engagement to identify and attract new strategic industry partners for collaborations and partnerships
• Assist in connecting companies and researchers/research units in A*STAR by articulating key SIgN capabilities when engaging industry partners.
• Promote SIgN platform technologies to external academic and industry partners and research institutions for service engagements and collaborations through seminars, conferences, roadshows and exhibitions.
• Review and lead negotiation of research collaboration and service agreements with public sector and industry in consultation with A*STAR Legal, Innovation & Enterprise HQ A*STAR and BMRC Clusters.
• Support Principal Investigators (PIs) and their teams in identifying collaborative project aims, deliverables, budgets and timelines for collaboration and service projects.
• Provide guidance and advice on intellectual property rights and usage.

Job Requirements:

• Bachelor of Science in Biomedical Sciences, Biochemistry, Life Sciences, Microbiology, Molecular Biology, Infectious Diseases, Immunology or related field as above.
• At least 3 years of relevant working experience, preferably with a background in the medtech, healthcare, or biomedical industry.
• Good interpersonal skills to liaise and work with diverse internal and external stakeholders.
• Excellent communication skills, both written and oral.
• Willing to learn, adaptable and flexible.
• Strong analytical skills and attention to detail.
• Able to work independently and in a team to complete tasks with minimal supervision.
• Knowledge and competence in industry engagement and intellectual property would be advantageous.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Responsibilities:

• Leverage strong domain and industry knowledge to understand companies? aspirations and challenges and thereby design and execute differentiated strategies to foster R&D partnerships and drive commercialization strategies.
• Work closely with relevant industry partners to adopt technology portfolios and research capabilities through licensing, collaboration and facilitating creation of spinoff companies.
• Leverage an ecosystem of industry partners, start-ups, academia, public agencies and industry associations to fuel the growth of the R&D and industry landscape in Singapore.
• Build a good network of internal R&D capabilities to enable adoption for the A*STAR ecosystem.
• Manage and support the development and protection of intellectual property. Establish business strategies and identify potential markets when assessing competitive technologies to be commercialized.
• Guide junior team members on account management and research collaboration/ licensing deals structuring, monitoring, and costing.
• Strong in contractual terms and apply them during negotiations with industry collaborations and internal stakeholders.
• Lead industry collaboration discussions during meetings.
• Anchor success stories narratives.

Requirements:

• Bachelor's degree with 8 to 10 years of relevant working experience, preferably with a background in PharmBio/Biotech industry.
• Excellent interpersonal skills to engage and partner diverse internal and external stakeholders.
• Excellent communication skills, both written and oral.
• Good listener with keen eye for industry"s needs.
• Strong analytical and problem-solving skills
• Able to think ahead to plan and execute with team.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

We are seeking passionate scientists who wish to develop innovative methods in the metagenomic assembly field. Our lab is focused on leveraging new technologies to better study microbial populations and their impact on human health. In this context, our lab has extensive experience in metagenomic analysis and has been involved in numerous large-scale studies exploring microbe diversity and dynamics, as well as the development of numerous tools widely used in the field.

Recent improvements in the sequencing technology field offer unique perspectives for metagenomic assemblies, reducing the gap to the full genomic reconstruction of complex microbial communities that can be further leveraged for comparative genomic analysis. The successful candidate will have the opportunity to work in a highly interdisciplinary environment with unique access to novel sequencing technologies and a wide range of samples. Solutions developed during this project will have direct applications to ongoing and new microbiome research projects in the lab, particularly in studying antimicrobial resistance and skin diseases.

The Nagarajan Lab is based in the Genome Institute of Singapore (GIS) which is the national flagship program for genomic sciences in Singapore with a mission to use genomics to improve public health and national prosperity. Singapore is a highly cosmopolitan city-state at the crossroads of Asia with one of the highest standards of living in the world. The GIS provides an internationally competitive remuneration package and relocation assistance.

Requirements:

• PhD in Computational Biology, Computer Science, Electrical Engineering/Genomics

• Strong analytical and programming skills (Python, C++, UNIX environment).

• Candidates with significant experience in assembly algorithms will be strongly preferred.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The Lot Processing and Data Management (Production Planning) will oversee the daily production schedules and ensure that the manufacturing lot planning to supply inventory levels are managed properly with production line data extraction & analysis.

Supervisory Responsibilities

- Oversee the day-to-days workflow with production staff

- Manages supervisory production staff

- Conducts performance appraisal and/or evaluation that are timely and constructive

- Handles discipline and termination of employees as needed and in accordance with ASTAR policy

Duties and Responsibilities

- Oversee the production process to ensure delivery of high-quality products that meet customer needs

- Maintain accurate inventory records, ensuring proper stock levels of raw materials, components, and finished goods to support production requirements.

- Ensure timely and cost-effective sourcing of materials and components, while maintaining quality standards.

- Implement and maintain production control systems, such as Enterprise Resource Planning (ERP) software, to streamline production processes and enable real-time monitoring and reporting.

- Ensure appropriate production rate to reduce delivery delays

- Collaborate with internal and external stakeholders to identify and resolve quality concerns

- Identify any bottlenecks or delays in production and ensure necessary labor, materials, and other resources are available to relieve production bottlenecks and delays

- Uses production planning and scheduling to limit material shortages

- Ensure production tools comply with professional and safety standards

- Work with equipment engineering to schedule maintenance and repairs used in production processes to avoid downtime or delays

- Perform other related duties as assigned

Required Skills

- Extensive knowledge of logistics, supply planning requirements

- Excellent communications and interpersonal skills

- Excellent analytical and problem-solving skills

- Proficient with computerized production materials control program such as SAP, MES, etc

- Proficient with Microsoft Office Suite or similar software

Education and Experience

- Bachelors degree in planning logistic, supply management, communications, operations, industrial engineering, or a related field. A relevant combination of education and industry experience will be considered.

- At least 3 years of relevant experience required. Exposure to leading semiconductor production, supply planning & management will be of additional value.

Physical Requirements

- Prolonged periods sitting at a desk and working on a computer.

- Must be able to lift up to 15 pounds at a time such as SMIF Pods, FOUPS, 150mm, 200mm Si wafer boxes if required to.

The Lot Processing and Data Management (Production Planning) will oversee the daily production schedules and ensure that the manufacturing lot planning to supply inventory levels are managed properly with production line data extraction & analysis.

Supervisory Responsibilities

- Oversee the day-to-days workflow with production staff

- Manages supervisory production staff

- Conducts performance appraisal and/or evaluation that are timely and constructive

- Handles discipline and termination of employees as needed and in accordance with ASTAR policy

Duties and Responsibilities

- Oversee the production process to ensure delivery of high-quality products that meet customer needs

- Maintain accurate inventory records, ensuring proper stock levels of raw materials, components, and finished goods to support production requirements.

- Ensure timely and cost-effective sourcing of materials and components, while maintaining quality standards.

- Implement and maintain production control systems, such as Enterprise Resource Planning (ERP) software, to streamline production processes and enable real-time monitoring and reporting.

- Ensure appropriate production rate to reduce delivery delays

- Collaborate with internal and external stakeholders to identify and resolve quality concerns

- Identify any bottlenecks or delays in production and ensure necessary labor, materials, and other resources are available to relieve production bottlenecks and delays

- Uses production planning and scheduling to limit material shortages

- Ensure production tools comply with professional and safety standards

- Work with equipment engineering to schedule maintenance and repairs used in production processes to avoid downtime or delays

- Perform other related duties as assigned

Required Skills

- Extensive knowledge of logistics, supply planning requirements

- Excellent communications and interpersonal skills

- Excellent analytical and problem-solving skills

- Proficient with computerized production materials control program such as SAP, MES, etc

- Proficient with Microsoft Office Suite or similar software

Education and Experience

- Bachelors degree in planning logistic, supply management, communications, operations, industrial engineering, or a related field. A relevant combination of education and industry experience will be considered.

- At least 3 years of relevant experience required. Exposure to leading semiconductor production, supply planning & management will be of additional value.

Physical Requirements

- Prolonged periods sitting at a desk and working on a computer.

- Must be able to lift up to 15 pounds at a time such as SMIF Pods, FOUPS, 150mm, 200mm Si wafer boxes if required to.

Humans are diverse, and this diversity influences the properties of our cells, as well as our developmental processes, and disease mechanisms, diagnoses, and treatments. The impact of population-specific genetic variation on disease risk and healthcare is widely appreciated, and this can contribute to health disparities. To build a single-cell reference atlas suitable for diverse population groups, we seek to characterise the impact of genes and environment on molecular traits in cells from diverse individuals across the globe. Specifically, we aim to uncover the influence of genetics, ancestry, age and sex on human phenotypes in health and disease.

We are looking for team members who will develop cutting-edge AI/machine learning methods and pipelines to integrate and interrogate gene expression and regulatory profiles of >10 million cells from thousands of donors. Your work will help establish a healthy immune baseline for disease comparisons, and craft and curate atlases of human cells that will transform our understanding of human biology. Successful candidates for this position will have the opportunity to collaborate with, learn from, and contribute to teams across the world studying diverse donors and tissues, including the Human Cell Atlas bionetworks.

Requirements:

• PhD with experience in computational biology
• Strong programming skills
• Strong communication skills
• Strong track record

SIgN is looking for a Business Development Officer to support business development, manage relationships between SIgN and its key partners as well as support the institute’s overall Research and Innovation goals.

Role & Responsibilities:

• Industry Engagement to identify and attract new strategic industry partners for collaborations and partnerships
• Assist in connecting companies and researchers/research units in A*STAR by articulating key SIgN capabilities when engaging industry partners.
• Promote SIgN platform technologies to external academic and industry partners and research institutions for service engagements and collaborations through seminars, conferences, roadshows and exhibitions.
• Review and lead negotiation of research collaboration and service agreements with public sector and industry in consultation with A*STAR Legal, Innovation & Enterprise HQ A*STAR and BMRC Clusters.
• Support Principal Investigators (PIs) and their teams in identifying collaborative project aims, deliverables, budgets and timelines for collaboration and service projects.
• Provide guidance and advice on intellectual property rights and usage.

Job Requirements:

• Bachelor of Science in Biomedical Sciences, Biochemistry, Life Sciences, Microbiology, Molecular Biology, Infectious Diseases, Immunology or related field as above.
• At least 3 years of relevant working experience, preferably with a background in the medtech, healthcare, or biomedical industry.
• Good interpersonal skills to liaise and work with diverse internal and external stakeholders.
• Excellent communication skills, both written and oral.
• Willing to learn, adaptable and flexible.
• Strong analytical skills and attention to detail.
• Able to work independently and in a team to complete tasks with minimal supervision.
• Knowledge and competence in industry engagement and intellectual property would be advantageous.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The successful candidate will lead development of AI-based methods for somatic mutation identification from Next-Generation Sequencing (NGS) data. The candidate will be responsible for model and software development, as well as documenting performance on benchmarks datasets.

Job requirements (eg qualification, skills):

1. PhD in Bioinformatics or Computer Science

2. Strong and documented programming skills and experience with UNIX and HPC environments

3. Strong and documented experience with AI/deep-learning approaches applied to NGS data

4. Excellent project management skills

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The Genome Institute of Singapore (GIS) is Singapore's flagship institute for the genomic sciences. The Agency for Science, Technology and Research (A*STAR) is the parent funding body for the GIS and has a long-term commitment to advance science and develop innovative technology to further economic growth and improve lives. As one of the world's premier genomic centres, the GIS integrates genetics, genomics, high-throughput biology, and data science to gain fundamental, translational and clinical insights into human disease and health (https://www.a-star.edu.sg/gis/).

The GIS invites applications for outstanding Principal Investigators to develop their independent research programmes in the following domains:

• Build technologies to engineer DNA or RNA (including molecular biology, viral/non-viral delivery, modified DNA/RNA, machine learning, CRISPR-Cas, DNAzymes/ribozymes, and other editing systems). Candidates with established track record in molecular engineering, nucleic acid therapeutics, translation into clinical trials, and/or biotech companies are highly desirable.
• Build technologies in RNA therapeutics (including either using RNA as medicine or targeting RNA in diseases). Candidates with an established track record in targeting RNA or engineering RNA for protein production, decay, localization in health and disease systems are highly desirable.

Qualified candidates should have an MD, PhD or equivalent degree in the biological, genomic or computational sciences, and a demonstrated ability to conduct cutting-edge team-based research with a strong record of peer-reviewed publications, intellectual property creation, and external funding. You must be comfortable working in a dynamic research organisation and be able to balance multiple responsibilities. Strong communication skills and a willingness to work collaboratively in a multidisciplinary environment are critical for success. The successful candidate will drive an expansion into the indicated research areas and complement and synergise with ongoing research programmes at the GIS.