Planet Pharma
AI TRAINER – LIFE SCIENCES
Skills
14 days ago
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Important information
Contract type:
Permanent
Location:
San Francisco, CA, USA
Work mode:
Onsite
Published on:
6 October 2026
What they need
AI Trainer – Life Sciences
Location: San Francisco, California
Category: Technology
Salary: Apply for details
Country: United States
Employment: Direct Hire/Perm
Worksite: On-Site
Apply For This Position
Job Description About the Role
is seeking experienced life sciences professionals across clinical healthcare, drug discovery, computational biology, bioinformatics, and experimental biology to evaluate how frontier AI models perform on realistic scientific and clinical work.
Experts design authentic tasks drawn from their own professional experience, run them through advanced AI models, and assess outputs against professional standards. Examples may include clinical case evaluations, experimental design reviews, omics analyses, drug development decisions, data interpretation, laboratory troubleshooting, protocol development, and scientific reporting.
You will work with realistic professional files and scenarios while helping improve the next generation of AI systems. This is not a traditional laboratory, research, or clinical role. Success requires strong written reasoning, attention to detail, and subject matter expertise.
Domain Qualifications Clinical Sciences Experience evaluating clinical workflows, patient care decisions, documentation, medication management, diagnostics, care planning, or healthcare operations.
Relevant Backgrounds Include:
- RN, NP, PA, MD, DO
- PharmD
- Respiratory Therapy, Physical Therapy, Midwifery, and other licensed healthcare professionals
- Acute care, primary care, emergency medicine, critical care, oncology, pediatrics, behavioral health, geriatrics, and related specialties
Drug Discovery & Translational Science Experience supporting discovery, preclinical development, translational research, or therapeutic development programs.
Relevant Backgrounds Include:
- Medicinal Chemistry
- Computational Chemistry
- Drug Discovery Biology
- DMPK / PK-PD
- Toxicology
- Translational Medicine
- Biomarker Science
- Cell & Gene Therapy
- Protein Engineering
- CMC and Formulation Development
Computational Biology & Bioinformatics Experience analyzing biological datasets and generating scientific insights using computational methods.
Relevant Backgrounds Include:
- Computational Biology
- Bioinformatics
- Genomics
- Transcriptomics
- Multiomics
- Statistical Genetics
- Clinical Genomics
- Machine Learning for Biology
- Population Genetics
Preferred Technical Skills:
- Python and/or R
- Statistical analysis
- Biological data interpretation
- Reproducible research workflows
Experimental Biology Experience designing, executing, troubleshooting, and interpreting laboratory experiments.
Relevant Backgrounds Include:
- Molecular Biology
- Cell Biology
- Immunology
- Protein Biochemistry
- Flow Cytometry
- Imaging & Histology
- Microbiology
- Virology
- Preclinical Research
General Requirements
- 2+ years of hands-on experience in a relevant life sciences discipline preferred
- Bachelor’s degree (in progress or completed) or higher in a life sciences-related field
- Current or recent individual contributor experience, not solely managerial responsibility
- Strong written and verbal English communication skills
- Ability to explain complex scientific or clinical reasoning clearly
- Familiarity with AI tools such as Claude, ChatGPT, or similar LLMs
- Strong attention to detail and ability to work independently
- Comfort learning new workflows from written guidance
- Basic technical proficiency with cloud-based tools and file management
- Available for at least 10 hours per week
- Located in the United States, Canada, or the UK
Equal Opportunity Employer
We are proud to be an equal opportunity employer. We welcome and encourage applications from all qualified candidates regardless of race, sex, gender identity or expression, disability, age, religion or belief, sexual orientation, or any other characteristic protected by applicable laws and regulations. It is our policy not to discriminate against any applicant or employee, and we are committed to fostering a diverse, inclusive, and respectful work environment across all locations in which we operate. We believe that diversity, equity, and inclusion are fundamental to our mission and enhance our ability to serve clients globally. If you have a disability or require any reasonable accommodations during the application or interview process, please inform your recruiter or contact us(opens in new tab) directly so that we can explore the appropriate arrangements.
Fraud Alert
Candidate safety is a top priority at Planet Pharma. The industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the Recruiter to ensure it’s from an official Planet Pharma domain (@planet-pharma.com, @planet-pharma.co.uk, and @ppgadvisorypartners.com) and not a domain with an alternative extension like .net, .org or .jobs.
The Planet Group of Companies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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