Total 3,132 Scientist job vacancies in Malaysia

Scientist







Job reference:  #9643   Brand:  QML Pathology   Location:  28 - 30 Bolsover Street, Rockhampton QLD 4700   Work type:  Full Time (Permanent)  hours per week   Schedule:  Expected to work weekdays with the ability to cover Saturday shifts, as required   About  us QML Pathology is part of Healius Limited, one of Australia's leading healthcare companies, Healius is synonymous with quality, affordable and accessible healthcare for all Australians. It has an expansive network of pathology laboratories, collection centres and diagnostic imaging centres. Through this footprint and its 10,500 people, Healius provides specialty diagnostic services to consumers and their referring practitioners. Healius provides quality healthcare services that are easily accessible and cost efficient, while supporting the coordination and continuity of quality




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Scientist







Job reference:  #8194   Brand:  Dorevitch Pathology   Location:  Melbourne Metro Hospitals   Work type:  Full Time (Max Term)     Schedule:  Working hours will be Monday to Friday   About  us Dorevitch Pathology is part of Healius Limited, one of Australia's leading healthcare companies, Healius is synonymous with quality, affordable and accessible healthcare for all Australians. It has an expansive network of pathology laboratories, collection centres and diagnostic imaging centres. Through this footprint and its 10,500 people, Healius provides specialty diagnostic services to consumers and their referring practitioners. Healius provides quality healthcare services that are easily accessible and cost efficient, while supporting the coordination and continuity of quality patient care.   About the role  We are seeking an




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Responsibilities:

• Model training for LLM and multimodal LLM, with focus on supervised fine-tuning and reinforcement learning from human feedback.
• Publish papers on top-tier conferences and journals, such as Nature Communication, New England, Lancet, ICML, NeurIPS, ICLR, KDD, SIGIR, AAAI, IJCAI, et al.
• Research and develop large language model powered product and systems, primarily within the mental health related area.
• Work with data scientist/engineer to extract and integrate data from various sources (e.g., cooperated hospitals) for model training.
• Improve efficiency and stability for large scale distributed training jobs
• Plan and lead the development of new and advanced data analytic techniques, methodologies and analytical solutions from design, prototyping, and testing.
• Conduct testing on data and AI models, interprets findings from testing, and evaluates model performance for scaling and deployment.
• Work in a team setting and apply proficient in statistics, scripting and programming languages required by the firm.
• Work with relevant software platforms on which the solution is deployed.

Qualifications

• Bachelor or above degree in computer science or related majors.
• Familiar with the recent advances in LLM, distributed computing, model deployment;
• At least 3 years or more working experiences;
• Familiar with machine learning algorithms, platforms and frameworks such as PyTorch and Jax.
• Expert in at least one or two programming languages in Linux environment: CUDA, Python, C/C++;
• Bilingual, fluent in Chinese and English is a plus (as candidates need to liaise with Chinese/Mandarin speaking counterparts in China for job purposes)

The following experiences will be a big plus:

• Publication record on top-tier AI/machine learning conferences or journals.
• Experiences in designing and operating large scale systems in cloud computing or machine learning;
• Experiences in CUDA programming and performance tuning (triton).

The successful applicant will ideally possess:

Strong work ethic
Bachelor?s Degree in Exercise and Sport Science or related field
Outgoing and friendly personality
Excellent communication and interpersonal skills
High focus on client outcomes
Ability to work in a team environment
Flexibility with hours
First Aid and CPR Certification (required)


2 week induction
Access to our state-of-the-art strength and conditioning facility without charge concessional fees for family members on both physio/EP and memberships
Ongoing training and professional development 
Brilliant career pathways within the Kieser network 
Kieser Wellbeing Program 
1 day of Kieser recharge leave and a half day of birthday leave (In addition to your annual and personal leave) 
A base salary including paid holidays with weekly bonuses 
An unbeatable team culture, fun working environment and social events
12 weeks parental leave 
$1500 PD allowance for you to spend on external CPD courses annually 

Diversity and inclusion:
Kieser is an inclusive workplace. ... Click here to view more detail / apply for Exercise Scientist

Relief Scientist







Job reference:  #5274   Brand:  QML Pathology   Location:  Brisbane Metro and Regional Queensland   Work type:  Full Time (Permanent)  38 hours per week   Schedule:  Expected to work various shifts, predominantly 5:30am 11:00pm Monday-Sunday. Participation in a 24hr and public holiday roster may also be required as per operational demand.     About  us QML Pathology is part of Healius Pathology division, one of Australias leading providers of private medical laboratory and pathology services. We operate about 100 medical laboratories and 2,000 patient collection centres across metropolitan, regional and remote Australia. Each year, we provide one in every three pathology services in Australia, extending from exclusively servicing some of Australias largest and most complex private and public hospitals to small




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Strategic Analytics is a growing team at Arch that has established itself as a driving force in the success of the business. We focus on implementing real-time analytic solutions that improve profitability and growth. To broaden our impact, we have expanded our focus to deliver business-driven intelligent data automation capabilities that combine data from external vendors with intelligent document processing (IDP) technologies. This includes working with artificial intelligence/machine learning, NLP, OCR, generative AI, and algorithmic-based solutions.

As a key member of the Strategic Analytics team, you will support the solution definition, build and implementation of IDP/AI opportunities across operations, claims, finance, and underwriting teams.  You will apply the right mix of technologies across the underwriting and claims functions.

 

Job Responsibilities

• Deliver automated document extraction and data enrichment solutions.

• Manipulate data using Python or SQL Server; develop ad hoc queries to investigate data anomalies and to summarize data for pattern detection.
• Manually label and validate small training data sets.
• Develop round-trip data flows that prepare data for IDP and format the results for analytical purposes
• Collaborate with experienced modelers to build predictive models and analytic solutions using Python; apply techniques such as decision trees and clustering.

• Under supervision use AI technologies such as natural language processing to extract business data from unstructured and semi-structured sources (e.g., loss history reports, insurance applications, claim files, application scraping using OCR/ generative AI, etc.).
• Create technical documentation to archive end-to-end processes.

Burwood East opened early in 2023 and as such we are seeking an enthusiastic and driven Exercise Scientist to join our team commencing in a Part Time capacity with the potential for the role to become Full Time.  

At Kieser you will:

• Belong to a multidisciplinary team dedicated to achieving the best possible outcomes for our clients 

• Provide evidence-based advice and practical guidance on improving health, fitness, well-being, and physical performance 

• Establishing and implementing exercise prescription and specific plans for clients/patients 

• Completing member review sessions, re-assessing outcome measures and client's goals 

• Other associated administrative duties as required 

They provide expert advice to clinicians on diagnostic and treatment support for patients with respiratory and non-respiratory disorders. They also support senior clinicians. managers and contribute to the development of a quality and cost effective service. He/she must be able to support the clinical service lead and advise staff on professional issues and must maintain a clinical input and keep up-to-date with professional issues by performing a range of clinical and scientific activities.

Are you passionate about preserving our natural environment and helping our community to continue to recover. We have an opportunity for a dedicated Environmental Scientist to join our team. 
About the role:

reports to the Senior Planning Applications Officer and collaborates with a team of environmental scientists and ecologists
conducting complex environmental assessments, including field surveys for the preparation of planning applications for Council infrastructure and maintenance projects
provides technical guidance during construction and monitoring mitigation measures as required by development consent
conduct comprehensive assessments and identifying areas of ecological concern
develop and implement restoration plans that prioritise both environmental conservation and community recovery.

What's on offer:

a base salary ranging from $92,107 per annum with competency-based increments up to $106,005 per annum, plus 11% super
70 hour, 9 day fortnight
Maximum-term role up



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Exciting opportunity to play a pivotal role in establishing our cutting-edge lab in Singapore! Use your scientific expertise to select top-notch analytical equipment, develop innovative capabilities, and draft meticulous testing protocols. Manage lab inventory to ensure a seamless supply chain, and collaborate with our dynamic teams to refine products and tackle challenges head-on. Your contributions will shape the future of our research, driving impactful results and fostering a culture of innovation and excellence.

• Contribute to the establishment of the lab in Singapore by providing scientific insights, assisting in the selection of analytical equipment, developing capabilities, drafting testing protocols, and managing lab inventory to ensure a continuous supply of consumables and reagents.

• Apply technical expertise to innovate and refine products, addressing both intricate and straightforward challenges. Conduct laboratory experiments, collaborate with technical and commercial teams, scrutinize results, and propose the next steps for experiments or project stages.
• Communicate findings verbally within the research group and through emails and technical reports to the broader business, presenting complex scientific information in an accessible format. While the role does not involve line management, occasional supervision or demonstration to students and less experienced staff may be required.
• Offer recommendations for optimal development routes in projects, ranging from straightforward to complex. Manage and execute multiple projects, ensuring timely results from experiments of varying complexity.
• Generate creative solutions within a designated area, constrained by core science principles. Encourage and propose innovative ideas for new or ongoing projects.
• Continuously enhance knowledge of the technology area and relevant scientific techniques, striving to improve research capabilities.

• Holds a Master's degree with over three years of pertinent experience or Ph.D with 1 year of postdoc experience
• Familiar with the design and evaluation of different vectors (e.g., lipids, polymers, peptides, etc) for NAD. This includes, but is not limited to, the operation of a microfluidics system to formluate LNP; physical-chemical characterisation (e.g., API encapsulation, quantification of loading efficiency, particle size and surface charge); evaluation of in vitro transfection effiency and toxicity; in vivo biodistrubution and toxicity

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV or email to huixuan@triton-ai.com

CEI Registration Number: R1985071

EA License Number: 21C0661

Company Registration Number: 201127615

Participate in sample receipt and handling of specimens, following sample handling guidelines. Accurately input patient demographics onto the Laboratory Information Management System (LIMS) To be able to accurately describe, select and prepare small tissue samples for microscopy and histological diagnosis. To assist the pathologist or senior BMS in the dissection of gross specimens. To cut pre-sliced section slabs of bone into blocks prior to decalcifying and sectioning. To process tissue specimens in the laboratory through the use of processing machines, embedding, microtomy, cryotomy and staining. To digitally x-ray a variety of specimens to accurately identify the end-point of decalcification and report unusual cases to senior staff. To undertake the sectioning of bone and other dense materials. To ensure the work produced within the department is of a consistently high standard and record its execution on the computer system. To perform and monitor immunohistochemical techniques using automated laboratory technology. Perform Fluorescence in Situ Hybridisation (FISH) and PCR. To file and retrieval of histological material. Ensure reagents are prepared, stored and used according to laboratory procedures. To assist with the ongoing maintenance of relevant equipment. To monitor stock levels of chemicals and consumables and provide senior BMS staff information for ordering. To participate in laboratory meetings. To have a working awareness of UKAS To work on own initiative but bringing issues to senior managers when appropriate. To attend mandatory training. To adhere to Trust policies and procedures relevant to your position.

Be a Part of Something BIG!

This is a data scientist role in Advanced Analytics team to support Financial & Lifestyle Services (eg. Insurance) on activities related to data exploration, insights discovery, data model curation, campaign experimentation, machine learning model development and automated campaign design.

Make an Impact by:

• Work with business stakeholders to translate opportunities and problem statements into analytical use cases
• Work on customer behaviour analysis to uncover insights related to financial & lifestyle services
• Manage and develop always-on automated campaigns via real-time triggers and events detection
• Ongoing optimization on campaign targeting and refinement on signal & trigger logics
• Continuous exploration & research on internal and external data sources to sharpen the targeting
• Building machine learning models to support campaign activities, eg: uplifting model, propensity models and etc

Skills for Success

• Good degree in engineering, science, applied mathematics, statistics, machine learning, or a related quantitative field.
• Minimum 1-2 year experience in relevant field or fresh graduate with exceptional background.
• Proficient in Python and SQL
• Well-versed in statistics and data science
• Familiar with statistical modelling and data visualization
• Strong organizational skill & conscientious personality.
• Meticulous, proactive, and dynamic with ability to work independently.
• Effective communication and people engagement skills.

Rewards that Go Beyond

• Full suite of health and wellness benefits
• Ongoing training and development programs
• Internal mobility opportunities

Your Career Growth Starts Here. Apply Now!

We are committed to a safe and healthy environment for our employees & customers and will require all prospective employees to be fully vaccinated.

We are seeking a data scientist to join our Digital Engineering team. The ideal candidate should have working knowledge of statistics, mathematics, and data science programming languages (e.g., SQL, R, Python), and have executed multiple projects taking ML concepts to production. 

Your primary responsibilities will be performing statistical analyses, running custom SQL queries, and identifying patterns and trends that can improve the efficiency and usability of our products and services. You will also be expected to maintain and improve our data infrastructure and tools. Data Scientists are also expected to have good working knowledge and understanding of data engineering techniques, ETL, and ELT.

Responsibilities

• Work with stakeholders to identify key metrics and opportunities for improving business processes, products, and services.
• Perform EDA (exploratory data analysis)
• Expertise in NLP and NLG.
• Good knowledge and understanding of LLM and its techniques, like RAG, RLHF, Prompt Tuning, etc. 
• Good understanding of ML Ops, LLM Ops, and/or FM Ops.
• Build, deploy, and maintain data management systems and back-end data infrastructure for our business intelligence pipeline.
• Create data visualizations, reports, dashboards, and data audits.
• Design, train, and implement machine learning algorithms.
• Leveraging techniques like the ensemble to create high-performing ML Models.

• Bachelor's degree in data science, data analytics, or related field
• Master's degree or Ph.D. in a quantitative field, such as statistics, computer science, mathematics, or engineering
• Proficiency in Python, R, C#, Java, or Kotlin
• Knowledge of data science toolkits such as R, NumPy, and MatLab
• Experience with big data analytics technologies such as Spark/Databricks and Hadoop
• Experience with data visualization tools such as PowerBI and Tableau
• Expertise in data mining and machine learning
• Working knowledge of statistical models and business intelligence
• Familiarity with cloud-based infrastructure
• Ability to store and process unstructured data with NoSQL databases and machine learning models

 

Be a part of our start-up where all decisions across BUs are data driven and never by gut.

CPO is a startup company dedicated to leveraging data-driven insights to drive innovation and growth. We are committed to harnessing the power of data to solve complex business challenges and deliver value to our customers. As we continue to expand our data analytics capabilities, we are seeking Data Scientists to join our team and contribute to our success.

As a Data Scientist, you will be at the forefront of our data analytics efforts, working closely with cross-functional teams to develop and deploy advanced analytical solutions. You will be responsible for analyzing large datasets, building predictive models, and generating actionable insights to inform business decisions. The ideal candidate will possess strong analytical skills, a deep understanding of statistical methods and machine learning techniques, and a passion for solving complex problems using data.

Key Responsibilities:

1. Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data analytics to drive business value.
2. Collect, clean, and preprocess large datasets from multiple sources to ensure data quality and integrity.
3. Apply statistical analysis and machine learning techniques to develop predictive models and algorithms for solving business problems.
4. Evaluate model performance and iteratively refine models to improve accuracy and effectiveness.
5. Generate actionable insights and recommendations based on data analysis, and present findings to stakeholders in a clear and compelling manner.
6. Work closely with engineering teams to deploy and operationalize analytical models in production environments.
7. Stay abreast of the latest developments in data science and machine learning, and proactively explore new techniques and methodologies to enhance analytical capabilities.
8. Collaborate with cross-functional teams to integrate data analytics into business processes and decision-making workflows.
9. Adhere to best practices in data governance, security, and compliance, ensuring the ethical and responsible use of data throughout the organization.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• Experience with developing and deploying predictive models and algorithms would be a plus
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy) would also be a plus
• Strong understanding of statistical methods and machine learning techniques, including linear regression, logistic regression, decision trees, random forests, and neural networks.
• Experience working with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
• Solid understanding of data visualization techniques and tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced, dynamic environment.
• Strong communication and presentation skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

We are a equal opportunity employer and is committed to diversity and inclusion in the workplace. We encourage individuals from all backgrounds to apply.

Data Scientist

Responsibilities:

• Analytics Solution Design and Development
• Design and implement innovative solutions using statistical models, machine learning and other data mining techniques.
• Handle challenges of analysing real-world data, such as incompleteness, bias, class imbalance and high volatility.
• Create effective visualizations and dashboards to communicate insights with end-users.
• Support the development and deployment of scalable and robust software solutions, working with IT solutions engineers.
• Engage with customer management teams to understand business requirements, project scope and develop a sound project plan.
• Think strategically and creatively, to exploit data science for a competitive advantage.
• Manage project implementation (for analytics scope only) to ensure that solutions are delivered on time and on requirements.

Knowledge Development and Management

• Research and experiment with new advances in analytical methods, algorithms and tools to deepen and develop new capabilities (i.e. deep learning, optimization, parallel computing).
• Elevate team competencies by sharing the latest trends and best practices.
• Support knowledge management by ensuring that learnings and insights arising from conferences, projects and industry engagements are documented.

Knowledge, Skills & Experience

• 2-5 years experience in Data Science, Analytics.
• Experience with Python, including packages such as NumPy, Pandas and scikit-learn.
• Experience in training, selecting and tuning machine learning models, employing techniques like data preparation, feature engineering, cross-validation and bagging/ boosting.
• Experience in data visualization tools or libraries such as Tableau, Power BI or packages in Python or Javascript.
• Experience with RDBMS such as MySQL, PostgreSQL, MongoDB, MS SQL Server.

Company Reg. No.: 201131609D | Licence No.: 11C4684 | Reg No: R1655133, Ashraf Ali