Oncology Clinical Researcher
Alignerr · San Antonio, TX
CONTRACT
Posted Sep 6, 2026
Job Description
Oncology Clinical Researcher (AI Training)
About The Role
What if your deep expertise in cancer clinical trials could directly influence how AI understands and reasons about oncology — shaping tools that may one day transform how patients are treated?
We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll review, evaluate, and inform AI-generated oncology content — ensuring that the models being built to support cancer research actually reflect the complexity, precision, and regulatory standards the field demands.
This is a fully remote, flexible contract role designed for experienced oncology professionals. No AI background required — just deep clinical knowledge and a sharp eye for scientific accuracy.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Review and evaluate AI-generated oncology content for clinical accuracy, scientific validity, and regulatory alignment
- Apply your expertise in clinical trial design — including protocol development, patient enrollment, and regulatory compliance — to assess AI outputs against real-world standards
- Analyze cancer trial data representations, including safety profiles, efficacy endpoints, and biomarker results, to identify gaps or errors in AI reasoning
- Evaluate how well AI systems interpret and communicate trial outcomes relevant to FDA/EMA regulatory submissions, publications, and clinical decision-making
- Provide structured, expert feedback that directly shapes how frontier AI models understand oncology data
- Work independently and asynchronously — fully on your own schedule
Who You Are
- Experienced in designing and managing oncology clinical trials — from protocol development through data readout
- Strong background in oncology clinical data analysis, including endpoints, safety profiles, and biomarkers
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented and methodical — you catch what others miss
- Able to translate complex clinical knowledge into clear, structured written feedback
- No prior AI or tech experience required
Nice to Have
- Prior experience with data annotation, data quality review, or AI evaluation workflows
- Background in translational oncology or drug development
- Experience contributing to regulatory submissions, clinical study reports, or peer-reviewed publications
- Familiarity with AI tools or clinical decision support systems
Why Join Us
- Work directly on frontier AI systems being built to transform cancer research
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, expert-level work
- Influence how AI models reason about real oncology data — a genuinely rare opportunity
- Collaborate with world-leading AI research teams and labs
- Potential for ongoing work and contract extension as new projects launch
About The Role
What if your deep expertise in cancer clinical trials could directly influence how AI understands and reasons about oncology — shaping tools that may one day transform how patients are treated?
We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll review, evaluate, and inform AI-generated oncology content — ensuring that the models being built to support cancer research actually reflect the complexity, precision, and regulatory standards the field demands.
This is a fully remote, flexible contract role designed for experienced oncology professionals. No AI background required — just deep clinical knowledge and a sharp eye for scientific accuracy.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Review and evaluate AI-generated oncology content for clinical accuracy, scientific validity, and regulatory alignment
- Apply your expertise in clinical trial design — including protocol development, patient enrollment, and regulatory compliance — to assess AI outputs against real-world standards
- Analyze cancer trial data representations, including safety profiles, efficacy endpoints, and biomarker results, to identify gaps or errors in AI reasoning
- Evaluate how well AI systems interpret and communicate trial outcomes relevant to FDA/EMA regulatory submissions, publications, and clinical decision-making
- Provide structured, expert feedback that directly shapes how frontier AI models understand oncology data
- Work independently and asynchronously — fully on your own schedule
Who You Are
- Experienced in designing and managing oncology clinical trials — from protocol development through data readout
- Strong background in oncology clinical data analysis, including endpoints, safety profiles, and biomarkers
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented and methodical — you catch what others miss
- Able to translate complex clinical knowledge into clear, structured written feedback
- No prior AI or tech experience required
Nice to Have
- Prior experience with data annotation, data quality review, or AI evaluation workflows
- Background in translational oncology or drug development
- Experience contributing to regulatory submissions, clinical study reports, or peer-reviewed publications
- Familiarity with AI tools or clinical decision support systems
Why Join Us
- Work directly on frontier AI systems being built to transform cancer research
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, expert-level work
- Influence how AI models reason about real oncology data — a genuinely rare opportunity
- Collaborate with world-leading AI research teams and labs
- Potential for ongoing work and contract extension as new projects launch
Additional Details
- City
- San Antonio
- State
- Texas
- Country
- US
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