Research
Develop or apply analytical methods to understand composition, identity and quality of materials.
Create measurement methods that reliably answer a scientific or product-development question.
Design and synthesize molecules to improve potency, selectivity and developability.
Modify proteins to improve a defined biological property, then test whether designed variants work.
Generate reliable experimental evidence while supporting scientists who design a research program.
Turn biological uncertainty into testable hypotheses and reproducible experiments.
Engineer biological systems to perform a designed function and test their behavior.
C. Biology
Build dependable software and data pipelines for biological analyses at scale.
Use quantitative models and biological datasets to investigate how living systems behave.
Model molecular properties and interactions to help teams prioritize chemical experiments.
Data and AI
Develop and investigate new machine-learning methods for biological or scientific problems.
Create reliable data movement and modeling so teams can trust downstream information.
Turn data into trustworthy analyses or predictive tools that support decisions.
Turn trained models into dependable systems with repeatable evaluation and safe operation.
Design and maintain software used by researchers, manufacturing teams or life-science products.
Clinical
Make clinical trial datasets complete, traceable and analysis-ready.
Monitor clinical research sites to verify compliance, data quality and participant protections.
Coordinate the day-to-day conduct of a clinical study at an investigator site.
Help turn medical and scientific objectives into interpretable clinical study evidence.
Coordinate study delivery across sites, vendors, milestones and risks.
Statistics
Design statistical approaches that turn research data into interpretable evidence.
Study patterns and determinants of health outcomes using observational or surveillance data.
Evaluate economic and patient-outcome evidence relevant to healthcare decisions.
Develop reproducible programs that turn clinical study data into validated statistical deliverables.
Manufacturing
Execute controlled manufacturing steps to produce compliant biological or pharmaceutical material.
Support commercial manufacturing through technical investigation and process knowledge.
Design and improve manufacturing processes before or during scale-up.
Build and improve equipment and manufacturing processes for safe, repeatable operations.
Move validated technical knowledge and processes between development teams and production sites.
Quality
Detect, assess and document medicine safety information according to applicable obligations.
Maintain quality systems that ensure controlled, consistent and documented work.
Test materials or products against defined quality specifications and document results.
Translate regulatory requirements into evidence plans and compliant submissions.
Demonstrate with planned evidence that systems and processes meet their intended requirements.
Automation
Apply engineering to devices and systems used in healthcare or life-science research.
Build and maintain automated laboratory workflows with dependable sample handling.
Develop physical automation systems that sense, move and manipulate reliably.
Commercial
Identify and negotiate partnerships that fit a company's scientific and commercial strategy.
Help customers use complex scientific instruments or platforms successfully.
Build evidence and plans that help appropriate products navigate payer and reimbursement decisions.
Build scientific exchange with healthcare professionals about medical evidence and unmet needs.
Translate complex scientific evidence into accurate, audience-specific documents.
Decide what a life-sciences product should solve, for whom and how success will be measured.
Operations
Keep laboratory people, facilities, supplies and safety systems working consistently.
Configure and integrate laboratory information management systems around reliable sample workflows.
Build processes that let research teams execute projects efficiently without losing rigor.
Design how scientific information is represented, linked, governed and retrieved.
Coordinate several interdependent research projects toward a coherent scientific goal.
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