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 cutting-edge AI development. You'll work with leading AI research teams to ensure that the oncology knowledge embedded in frontier AI systems is clinically accurate, regulatory-sound, and scientifically credible.

This is a fully remote, flexible contract role. No AI background required — just deep expertise in oncology clinical research and a sharp eye for scientific quality.

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 how accurately AI models interpret treatment outcomes

Review and validate AI-generated clinical insights for scientific accuracy, regulatory alignment, and real-world clinical relevance

Translate trial outcomes and AI evaluations into structured reports reflecting FDA/EMA submission standards and clinical decision-making norms

Provide expert feedback that directly shapes how AI systems learn to 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

Solid background in analyzing oncology clinical data — including primary and secondary endpoints, safety profiles, and biomarker results

Familiar with regulatory submission standards for agencies such as the FDA or EMA

Detail-oriented and systematic — you hold AI-generated content to the same rigorous standards you'd apply to real clinical work

Comfortable working independently and delivering structured, high-quality written evaluations

No prior AI or data annotation experience required Nice to Have Experience with data annotation, data quality review, or AI evaluation workflows

Background in oncology drug development, translational research, or clinical operations

Familiarity with biomarker-driven trial design or precision oncology frameworks

Prior work on regulatory submissions, clinical study reports, or publications Why Join Us Work directly on frontier AI systems that are transforming how cancer research is understood and applied

Influence how AI models reason about real oncology data — at the cutting edge of medicine and technology

Fully remote and flexible — work when and where it suits you

Freelance autonomy with the structure of meaningful, expert-level work

Collaborate with world-leading AI research teams and labs

Potential for ongoing work and contract extension as new projects launch

📌 Oncology Clinical Researcher (Mumbai)
🏢 Alignerr
📍 Mumbai