Biotech & Pharma CPT Jobs in California
California is the top state for biotech and pharma F-1 CPT jobs, anchored by major hubs in San Diego's Torrey Pines corridor, the San Francisco Bay Area, and Los Angeles. Companies like Genentech, Gilead Sciences, Amgen, and Illumina regularly bring on CPT students for research, computational biology, and regulatory roles across their California operations.
Find Biotech & Pharma JobsOverview
Showing 5 of 50+ Biotech & Pharma CPT Jobs in California
See all 50+ Biotech & Pharma CPT Jobs in California
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Biotech & Pharma CPT Jobs in California.
Get Access To All JobsJob Description
GenBio AI is an AI for Science company on a mission to make biology fully computable. We are building AIDO (AI-Driven Digital Organism) to simulate living systems, decode biology holistically, and accelerate medical and scientific research. Our first step toward that mission is AIDO Cell, the first virtual cell world model that holistically simulates cell biology from molecules up to whole-cell behavior. It enables researchers to run experiments virtually, predicting how cells respond to genetic changes, drugs and other interventions before going into the lab. It is supported by AIDO Foundry, an AI-builds-AI engineering framework for automating virtual cell development, and AIDO Lab, an interface to digitally run experiments and observe the results. Together they form the foundation for a new paradigm in AI-driven drug discovery, bioengineering, and fundamental biomedical research.
Qualifications
- M.S. or Ph.D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Available for a 6-month, in-person internship in Palo Alto, CA, and authorized to work in the U.S. for the duration of the internship.
- Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications.
- Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra).
- Passion for interdisciplinary research (emphasizing the intersection of AI and Biology), and willingness to acquire necessary domain knowledge.
- Motivated and self-driven with the ability to operate with partial descriptions of high-level objectives (as is typical in a start-up environment).
- Familiarity with software engineering best practices (version control, documentation, etc).
Nice To Have
- 3 year PhD student and above.
- Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences.
- Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research).
- Hands-on experience working at the intersection of AI and Biology, particularly protein structure prediction, protein sequence/structure modeling, or molecular design.
- Experience with biological structure prediction algorithms or models such as AlphaFold2/3 or RoseTTAFold.
- Experience in generative modeling for biological structures and sequences, including diffusion models, flow matching, or related approaches.
- Experience in large-scale distributed training and inference.
- Open-source contributions, especially if used by others.
Join us as we embark on this journey to redefine the future of biology and medicine.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security’s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description
GenBio AI is an AI for Science company on a mission to make biology fully computable. We are building AIDO (AI-Driven Digital Organism) to simulate living systems, decode biology holistically, and accelerate medical and scientific research. Our first step toward that mission is AIDO Cell, the first virtual cell world model that holistically simulates cell biology from molecules up to whole-cell behavior. It enables researchers to run experiments virtually, predicting how cells respond to genetic changes, drugs and other interventions before going into the lab. It is supported by AIDO Foundry, an AI-builds-AI engineering framework for automating virtual cell development, and AIDO Lab, an interface to digitally run experiments and observe the results. Together they form the foundation for a new paradigm in AI-driven drug discovery, bioengineering, and fundamental biomedical research.
Qualifications
- M.S. or Ph.D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Available for a 6-month, in-person internship in Palo Alto, CA, and authorized to work in the U.S. for the duration of the internship.
- Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications.
- Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra).
- Passion for interdisciplinary research (emphasizing the intersection of AI and Biology), and willingness to acquire necessary domain knowledge.
- Motivated and self-driven with the ability to operate with partial descriptions of high-level objectives (as is typical in a start-up environment).
- Familiarity with software engineering best practices (version control, documentation, etc).
Nice To Have
- 3 year PhD student and above.
- Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences.
- Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research).
- Hands-on experience working at the intersection of AI and Biology, particularly protein structure prediction, protein sequence/structure modeling, or molecular design.
- Experience with biological structure prediction algorithms or models such as AlphaFold2/3 or RoseTTAFold.
- Experience in generative modeling for biological structures and sequences, including diffusion models, flow matching, or related approaches.
- Experience in large-scale distributed training and inference.
- Open-source contributions, especially if used by others.
Join us as we embark on this journey to redefine the future of biology and medicine.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security’s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
CPT Biotech & Pharma Job Roles in California
See all 50+ Biotech & Pharma CPT Jobs in California
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Biotech & Pharma Jobs in CaliforniaBiotech & Pharma CPT Sponsorship Jobs in California: Frequently Asked Questions
Which biotech and pharma companies sponsor F-1 CPT visas in California?
California-based companies with established internship and co-op programs that accommodate F-1 CPT students include Genentech, Gilead Sciences, Amgen, Illumina, Biogen, and Regeneron's California offices. Smaller biotech startups in the Bay Area and San Diego also frequently hire CPT students, particularly for lab research and bioinformatics roles. CPT eligibility ultimately depends on your school's program requirements and DSO authorization, not employer preference alone.
Which cities in California have the most biotech and pharma F-1 CPT sponsorship jobs?
San Diego and the San Francisco Bay Area are California's two dominant biotech employment centers. San Diego's Torrey Pines and Sorrento Valley corridors house dozens of biotech firms, while the Bay Area clusters around South San Francisco, Foster City, and Emeryville. Los Angeles is a smaller but growing market, with pharma and medtech activity concentrated around UCLA and USC research parks.
What types of biotech and pharma roles typically qualify for F-1 CPT sponsorship?
Roles that commonly qualify include research associate positions, bioinformatics and computational biology internships, regulatory affairs support roles, quality assurance and quality control internships, and clinical data management positions. The role must be directly tied to your declared degree program for CPT to apply. STEM fields like molecular biology, biochemistry, bioengineering, and data science align most cleanly with CPT eligibility requirements at most universities.
How do I find biotech and pharma F-1 CPT sponsorship jobs in California?
Migrate Mate lists biotech and pharma positions in California that are open to F-1 CPT candidates, letting you filter specifically by visa type and industry rather than sorting through general job postings. Given California's concentration of biotech employers, filtering by city (San Diego, San Francisco, Los Angeles) on Migrate Mate helps narrow results to the clusters where CPT hiring is most active. Always confirm CPT authorization with your DSO before applying.
Are there California-specific considerations for F-1 CPT in biotech and pharma?
California's biotech sector is heavily research-driven, so many CPT positions involve lab work, proprietary data, or biological materials subject to strict confidentiality agreements and export control regulations. Some roles at defense-adjacent life sciences companies may require U.S. citizenship or permanent residency, which would exclude F-1 students. Additionally, California's strong university ecosystem means competition for CPT slots at major employers is high, particularly from UC San Diego, UC Berkeley, UCSF, and Stanford graduate programs.