Oncology Clinical Researcher
Alignerr · New York, NY
CONTRACT
Posted Sep 7, 2026
Job Description
Oncology Clinical Researcher (AI Training)
About The Role
What if your deep knowledge of cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing tools that may one day support researchers, clinicians, and patients worldwide?
We're looking for experienced Oncology Clinical Researchers to bring real-world scientific and regulatory expertise into cutting-edge AI development. You'll evaluate, guide, and improve AI-generated clinical insights — ensuring the systems being built today reflect the rigor, nuance, and complexity of real oncology research.
This is a fully remote, flexible contract role built for experienced oncology professionals who want to contribute to something genuinely frontier — on their own schedule.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design and evaluate oncology clinical trial frameworks — including study protocols, patient enrollment criteria, and regulatory compliance standards
- Analyze cancer trial data across safety, efficacy, and biomarker endpoints to assess treatment performance
- Translate trial outcomes into clear, structured reporting aligned with FDA/EMA submission standards and clinical decision-making needs
- Review and critique AI-generated oncology insights for scientific accuracy, clinical relevance, and regulatory alignment
- Identify gaps, errors, and limitations in how AI models interpret and present clinical trial 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 analytical background in oncology clinical data — including endpoints, safety profiles, and biomarker analysis
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented and rigorous — you know when clinical reasoning doesn't hold up
- Comfortable working independently on structured, task-based assignments
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI output review
- Background in translational oncology, clinical pharmacology, or related fields
- Experience contributing to regulatory documents, clinical study reports, or publications
- Familiarity with AI tools or clinical informatics platforms
Why Join Us
- Work directly on frontier AI systems being built to understand real-world cancer research
- Fully remote and flexible — contribute on a schedule that fits your life
- Freelance autonomy with the structure of meaningful, task-based work
- Shape how AI models reason about oncology — a domain where accuracy genuinely matters
- Collaborate with leading AI research labs and teams at the cutting edge of the field
- Potential for ongoing work and contract extension as new projects launch
About The Role
What if your deep knowledge of cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing tools that may one day support researchers, clinicians, and patients worldwide?
We're looking for experienced Oncology Clinical Researchers to bring real-world scientific and regulatory expertise into cutting-edge AI development. You'll evaluate, guide, and improve AI-generated clinical insights — ensuring the systems being built today reflect the rigor, nuance, and complexity of real oncology research.
This is a fully remote, flexible contract role built for experienced oncology professionals who want to contribute to something genuinely frontier — on their own schedule.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design and evaluate oncology clinical trial frameworks — including study protocols, patient enrollment criteria, and regulatory compliance standards
- Analyze cancer trial data across safety, efficacy, and biomarker endpoints to assess treatment performance
- Translate trial outcomes into clear, structured reporting aligned with FDA/EMA submission standards and clinical decision-making needs
- Review and critique AI-generated oncology insights for scientific accuracy, clinical relevance, and regulatory alignment
- Identify gaps, errors, and limitations in how AI models interpret and present clinical trial 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 analytical background in oncology clinical data — including endpoints, safety profiles, and biomarker analysis
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented and rigorous — you know when clinical reasoning doesn't hold up
- Comfortable working independently on structured, task-based assignments
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI output review
- Background in translational oncology, clinical pharmacology, or related fields
- Experience contributing to regulatory documents, clinical study reports, or publications
- Familiarity with AI tools or clinical informatics platforms
Why Join Us
- Work directly on frontier AI systems being built to understand real-world cancer research
- Fully remote and flexible — contribute on a schedule that fits your life
- Freelance autonomy with the structure of meaningful, task-based work
- Shape how AI models reason about oncology — a domain where accuracy genuinely matters
- Collaborate with leading AI research labs and teams at the cutting edge of the field
- Potential for ongoing work and contract extension as new projects launch
Additional Details
- City
- New York
- State
- New York
- Country
- US
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