Physical & Life Scientist
Physical and life scientists in AI companies design and execute experiments across biology, chemistry, and physics to accelerate drug discovery and therapeutic development. These roles span from wet lab work—running immunological assays, synthetic chemistry, and analytical separations—to computational approaches like molecular dynamics simulations and pharmacometric modeling. What distinguishes these scientists is their direct integration with AI-driven platforms: they validate predictions from machine learning models, generate training data for foundation models in biology and chemistry, conduct safety evaluations of AI systems in scientific domains, and translate computational designs into experimental reality. They typically sit within discovery and development teams at TechBio and AI companies, collaborating closely with computational researchers, engineers, and medicinal chemists to bridge the gap between digital prediction and physical validation.
Skills
What companies are looking for in this role.
Designing and developing cell-based and biochemical assays for drug discovery applications
Designing experimental strategies and executing complex scientific research protocols
Analyzing and interpreting experimental data with quality control oversight
Executing synthetic chemistry routes and chemical synthesis methodologies
Operating and troubleshooting laboratory automation platforms and high-throughput screening equipment
Characterizing materials properties through structural analysis and spectroscopic techniques
Leading scientific initiatives and managing drug discovery projects from target identification through candidate selection
Developing and optimizing methodologies for laboratory automation platforms
Evaluating and deploying novel scientific technologies and technical developments
Operating analytical instruments including chromatography and spectrometry systems
Performing quantitative pharmacology and pharmacokinetics modeling
Operating flow cytometry and high-content imaging platforms
Designing thin-film deposition and nanofabrication processes
Integrating artificial intelligence and computational predictions with experimental validation
Translating computational design outputs into practical experimental implementation
Developing autonomous discovery loops and hands-free experimental execution
Interpreting and understanding biological foundation models and AI systems
Collaborating across functional disciplines including computational, chemistry, and engineering teams
Maintaining laboratory safety standards and best practices
Communicating scientific findings internally and externally through presentations and publications
Technology
The tools and technologies that define this role.
Open Jobs
21 open Physical & Life Scientist jobs across 4 companies.
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