r.Potential: Enterprise AI platform for workforce planning and agent orchestration.
Bachelor's in computational economics or related quantitative field, strong Python and ML, Databricks, SQL/NoSQL, experience with Postgres, Elasticsearch, Neo4j, and expertise in economic/ labor-market modeling.
Stanford University: A private research university providing higher education and research.
3+ YOEPhD preferred with 3+ years postdoctoral/professional experience applying computational tools to biomedical research; proficiency in Python,R,Bash; experience delivering technical training and collaborating with interdisciplinary teams.
Stanford University: Private research university providing academic education and medical services.
3+ YOEPhD preferred in computational biology/bioinformatics/CS or related field; 3+ years postdoctoral or professional experience; proficiency in Python, R, Bash; experience with machine learning, workflow automation, reproducible pipelines, and technical training delivery.
FreenomeNASDAQ: FRNM: Develops blood tests for early cancer detection using machine learning.
8+ YOEPhD and ≥8 years post-PhD experience in computational biology/statistics for cancer or diagnostics; deep molecular biology expertise; experience with high-throughput genomics and modeling.
Edison Scientific: Developing autonomous AI agents for scientific research and discovery.
PhD in biological science or equivalent experience; familiarity with pharma/biotech regulatory landscape; experience analyzing complex biological data types; hands-on experience with LLM/agentic AI in research; strong critical thinking and presentation skills.
Astera Institute: Conducts fundamental research in artificial intelligence and longevity science.
PhD in bioinformatics/computational biology/ML, strong protein structure knowledge, experience building large bioinformatic pipelines and managing high-dimensional datasets, proficiency fine-tuning ML models and integrating PLM/LLM/experimental data.
General Proximity: Develops proximity-based medicines to treat undruggable disease proteins.
3+ YOEPhD-preferred computational chemist with 3+ years in pharma/biotech, hands-on SBDD and ligand-based design, experience with cheminformatics, AI/ML molecular design, Python and RDKit, and cross-functional collaboration.
University of California: A public research university system providing education and healthcare.
5+ YOEAdvanced computational/statistical skills for end-to-end analysis of multimodal genomic datasets; strong R and Python proficiency; experience with reproducible workflows, HPC/cloud environments, and publication record in high-dimensional modalities.
Neuroscience PhD (Computational / Active Inference)
San Francisco or London
$150k/yrOnsiteFull Time
Clera: AI talent agent matching professionals with high-growth startup roles
PhD required in computational neuroscience or related field; experience building and deploying inference models from wearable sensor data; strong ML engineering skills and active inference expertise; able to work onsite in San Francisco or London without new visa sponsorship.
Twelve Labs: AI foundation models for video search and human-like understanding.
5+ YOE5+ years in AI data operations; experience designing model evaluation pipelines, large-scale data collection/labeling, Python automation, strong communication and project management skills.
Python, FFMPEG, AWS (S3, EC2), Linear, Notion, Google Suite, Encord
Lam ResearchNASDAQ: LRCX: Designs and manufactures wafer fabrication equipment for the semiconductor industry.
3+ YOEPhD in computational chemistry/chemistry/chemical engineering/materials,3+ years industry experience post-PhD, DFT and quantum chemistry experience (e.g. Gaussian), atomistic modeling, and strong collaboration and communication skills.
MyOme: Provides clinical whole genome analysis for personalized health insights.
Ph.D. or Master's in quantitative biosciences with relevant experience; hands-on biobank and multi-omic analysis; proficiency in Python/R, version control, cloud biobank environments; strong statistical and epidemiological skills.
Aralez Bio: Produces noncanonical amino acids for drug development through biocatalysis.
2+ YOEPh.D. or Master’s in computational chemistry/chemoinformatics,2+ years post-grad experience,expertise in ML for molecular property prediction,chemoinformatics (RDKit),Python,data pipelines,SQL,strong communication with lab scientists.
Scientist II/Senior Scientist, Computational Chemistry, Drug Discovery
Cambridge or London or San Francisco
$141k-$218k/yrOnsiteFull Time
Lila Sciences: Develops an AI platform for autonomous scientific research and discovery.
PhD or equivalent experience in computational chemistry or related field; practical drug-discovery computational chemistry experience; protein-ligand modeling; fluency in Python and computational chemistry libraries; strong collaboration and communication skills.
Lawrence Berkeley National Laboratory: Conducts scientific research to address global challenges.
3+ YOEPhD in computing discipline, minimum 3 years postdoctoral or equivalent research experience, expertise in processor/accelerator design, SPICE/Verilog, CAD/EDA tools, C++/Python, FPGA flows, and record of publications.
Lam ResearchNASDAQ: LRCX: Manufacturing equipment used to fabricate advanced semiconductor microchips.
3+ YOEPh.D. in related field, 3+ years post-Ph.D. industry experience, experience with DFT/Gaussian, quantum chemistry and reaction pathway analysis, strong collaboration and communication skills.
Gaussian, Density Functional Theory (DFT), ReaxFF, MACE, SevenNet
Xaira Therapeutics: Develops AI models for protein and antibody drug discovery.
5+ YOEPhD in a quantitative biology field, 5+ years industry/applied research, deep single-cell RNA‑seq and Perturb‑seq expertise, experience integrating large-scale datasets, production workflow development (Nextflow), Docker, AWS, Python (numpy, pandas, scanpy, scikit-learn), Unix, and GitHub.
AlphabetNASDAQ: GOOGL: Holding providing internet, software, and AI services.
6+ YOEMaster's or PhD in STEM, 6+ years in modeling and optimization, strong power systems knowledge, numerical methods and solver experience, ability to produce production-ready code, collaborative across disciplines.
Member of Technical Staff - Applied Computational Biologist
New York City or San Francisco
OnsiteFull Time
Valthos: Develops AI systems to identify biological threats and design countermeasures.
Extensive computational biology research experience, strong scientific communication, ability to analyze biological data, proficiency in Python, and ability to work on-site in New York City or San Francisco.