Oncology Clinical Researcher

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alignerrEast Boston (MA)

Clinical Research Coordinators Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

SENIORITY

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About the role

Oncology Clinical Researcher (AI Training)

About The Role: What if your deep expertise in cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing the next generation of tools used by researchers, clinicians, and regulatory teams worldwide? We're looking for experienced Oncology Clinical Researchers to bring real-world scientific rigor into AI-driven research workflows. You'll evaluate, guide, and improve how frontier AI systems interpret oncology trial data — ensuring the insights they generate meet the standards of actual clinical and regulatory practice. This is a fully remote, flexible contract role built for senior oncology professionals who want to contribute to something genuinely consequential — 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 strategies, and regulatory compliance standards
Analyze cancer trial data covering safety profiles, efficacy endpoints, and biomarker results to assess treatment performance
Translate trial outcomes into clear regulatory and scientific narratives aligned with FDA/EMA submission standards
Review and critique AI-generated oncology insights for clinical accuracy, scientific relevance, and regulatory soundness
Help establish the quality benchmarks that define how AI models understand real-world oncology research
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 biomarkers
Familiar with regulatory submission standards for agencies such as the FDA or EMADetail-oriented and scientifically rigorous — you hold AI-generated content to the same standards you'd apply in a clinical or regulatory setting
Able to communicate complex oncology concepts clearly and precisely in writing
Self-motivated and reliable when working independently

Nice to Have:

Prior experience with data annotation, data quality review, or AI evaluation workflows
Background in translational oncology, clinical pharmacology, or biomarker science
Experience contributing to peer-reviewed publications or regulatory submissions
Familiarity with AI tools or clinical decision-support systems

Why Join Us:

Work directly on frontier AI systems being built to transform cancer research and clinical decision-making
Influence how the next generation of AI understands real oncology data — at the protocol, endpoint, and regulatory level
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, high-impact work
Collaborate with leading AI research labs and teams at the cutting edge of medical AIPotential for ongoing work and contract extension as new projects launch

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