Oncology Clinical Researcher
Alignerr · Austin, CO
CONTRACT
Posted Sep 7, 2026
Job Description
Oncology Clinical Researcher (AI Training)
About The Role
What if your deep expertise in cancer clinical trials could directly shape how AI understands, evaluates, and advances oncology research? We're looking for Oncology Clinical Researchers to bring real-world scientific rigor to cutting-edge AI systems — ensuring the models influencing the future of cancer care are grounded in clinical reality.
This is a fully remote, flexible contract role built for experienced oncology professionals who want to do meaningful work on their own schedule. No AI background required — just deep domain expertise and a sharp eye for clinical quality.
- 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 trial design, protocol development, and patient enrollment standards to assess AI outputs
- Analyze AI-generated interpretations of cancer trial data — including safety, efficacy, and biomarker results — and flag errors or gaps
- Evaluate AI reasoning against real-world regulatory submission standards for agencies such as the FDA and EMA
- Provide structured, detailed feedback that directly shapes how AI models reason about 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 analyzing clinical trial data, 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 in complex clinical data
- Able to communicate technical findings clearly in writing
- No prior AI or tech experience required
Nice to Have
- Prior experience with data annotation, data quality assessment, or evaluation systems
- Background in translational oncology, precision medicine, or biomarker research
- Familiarity with AI tools or clinical decision-support systems as an end user
- Experience contributing to peer-reviewed publications or regulatory submissions
Why Join Us
- Work directly on frontier AI systems transforming how the world understands and fights cancer
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, task-based work
- Influence how AI models reason about real oncology data at the highest scientific level
- 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 shape how AI understands, evaluates, and advances oncology research? We're looking for Oncology Clinical Researchers to bring real-world scientific rigor to cutting-edge AI systems — ensuring the models influencing the future of cancer care are grounded in clinical reality.
This is a fully remote, flexible contract role built for experienced oncology professionals who want to do meaningful work on their own schedule. No AI background required — just deep domain expertise and a sharp eye for clinical quality.
- 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 trial design, protocol development, and patient enrollment standards to assess AI outputs
- Analyze AI-generated interpretations of cancer trial data — including safety, efficacy, and biomarker results — and flag errors or gaps
- Evaluate AI reasoning against real-world regulatory submission standards for agencies such as the FDA and EMA
- Provide structured, detailed feedback that directly shapes how AI models reason about 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 analyzing clinical trial data, 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 in complex clinical data
- Able to communicate technical findings clearly in writing
- No prior AI or tech experience required
Nice to Have
- Prior experience with data annotation, data quality assessment, or evaluation systems
- Background in translational oncology, precision medicine, or biomarker research
- Familiarity with AI tools or clinical decision-support systems as an end user
- Experience contributing to peer-reviewed publications or regulatory submissions
Why Join Us
- Work directly on frontier AI systems transforming how the world understands and fights cancer
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, task-based work
- Influence how AI models reason about real oncology data at the highest scientific level
- Collaborate with world-leading AI research teams and labs
- Potential for ongoing work and contract extension as new projects launch
Additional Details
- City
- Austin
- State
- Colorado
- Country
- US
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