Oncology Clinical Researcher

Alignerr Corp.; India; Remote; INR 2,066,000 - 4,133,000; Part time

Job summary

Alignerr is seeking an Oncology Clinical Researcher to bring deep cancer trial expertise into AI training. You will review oncology content, ensure regulatory and scientific validity, and contribute to trial design and data interpretation for real‑world AI applications.

This fully remote, hourly contract offers flexible scheduling for experienced professionals who can work asynchronously and deliver structured evaluations that strengthen AI models in oncology.

Qualifications

• Experienced in designing and managing oncology clinical trials — from protocol development through data readout.
• Strong background in analyzing oncology clinical 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.

Responsibilities

• Review and evaluate AI-generated oncology content for clinical accuracy, regulatory alignment, and scientific validity
• Apply your expertise in trial design — protocols, patient enrollment, endpoints, and compliance — to assess and improve AI outputs
• Analyze cancer trial data representations, including safety profiles, efficacy results, and biomarker findings, to verify how well AI captures real-world complexity
• Evaluate AI-generated regulatory and scientific content against FDA/EMA submission standards
• Provide structured, expert feedback that directly shapes how AI models understand and reason about oncology
• Work independently and asynchronously — fully on your own schedule

Skills

Oncology clinical trials

Clinical data analysis

Regulatory submission knowledge

Documentation & reporting

Independent work

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 and reasons about oncology — influencing the tools that will support the next generation of cancer research and treatment decisions?

We're looking for an Oncology Clinical Researcher to bring real-world clinical trial knowledge into cutting-edge AI development. You'll work alongside leading AI research teams to ensure that oncology data, reasoning, and outputs meet the highest scientific, regulatory, and clinical standards.

This is a fully remote, flexible contract role built for experienced oncology professionals. No AI background required — just deep command of cancer clinical research and a sharp eye for scientific rigor.

• 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, regulatory alignment, and scientific validity
• Apply your expertise in trial design — protocols, patient enrollment, endpoints, and compliance — to assess and improve AI outputs
• Analyze cancer trial data representations, including safety profiles, efficacy results, and biomarker findings, to verify how well AI captures real-world complexity
• Evaluate AI-generated regulatory and scientific content against FDA/EMA submission standards
• Provide structured, expert feedback that directly shapes how AI models understand and reason about oncology
• 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 oncology clinical 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
• Comfortable translating complex clinical knowledge into clear, structured evaluations
• No prior AI or tech experience required

Nice to Have

• Prior experience with data annotation, data quality, or evaluation workflows
• Background in oncology subspecialties such as immuno-oncology, precision medicine, or rare cancers
• Experience contributing to publications, IND/NDA submissions, or clinical study reports
• Familiarity with AI tools or clinical decision support systems as an end user

Why Join Us

• Work directly on frontier AI systems transforming how cancer research is understood and applied
• 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 at a foundational level
• Collaborate with world-leading AI research labs and a global network of domain experts
• Potential for ongoing work and contract extension as new projects launch