Oncology Clinical Researcher

Alignerr Corp.; United Kingdom; Remote; GBP 103,000 - 165,000; Part time

Job summary

Alignerr Corp. is seeking an Oncology Clinical Researcher to review and improve AI-generated oncology content for clinical accuracy and regulatory compliance.

You will apply your trial-design expertise to assess real-world methodologies and analyze trial data while ensuring alignment with FDA/EMA standards. The role is fully remote, flexible, and freelance, allowing you to set your own schedule and work across global teams.

Qualifications

• Experience designing and managing oncology trials from protocol development through data readout.
• Strong background in analyzing oncology clinical data—endpoints, safety profiles, biomarkers, and statistical outputs.
• Familiarity with regulatory standards for agencies such as the FDA or EMA.
• Detail-oriented and methodical, able to translate complex clinical knowledge into clear evaluations.

Responsibilities

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

Skills

Oncology trials

Trial design

Regulatory standards

Biomarkers analysis

FDA EMA submissions

Structured feedback

Independent remote work

Tools

Data annotation workflows

AI evaluation workflows

Job description

Oncology Clinical Researcher (AI Training)

About The Role

What if your deep expertise in cancer clinical trials could directly shape how AI reasons about oncology — influencing systems that may one day support life-saving treatment decisions for patients worldwide? We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into the AI training pipeline. You'll review, evaluate, and improve AI-generated oncology content — ensuring that the models being built today reflect the scientific, regulatory, and clinical standards that matter most in cancer medicine. This is a fully remote, flexible contract role. No AI background needed — just serious oncology expertise and a sharp eye for clinical accuracy.

What You'll Do

• Review and evaluate AI-generated oncology content for clinical accuracy, scientific validity, and regulatory alignment
• Apply your expertise in clinical trial design — protocol development, patient enrollment, endpoints, and safety monitoring — to assess how well AI systems understand real-world trial methodology
• Analyze AI outputs related to cancer trial data, including efficacy results, safety profiles, and biomarker findings
• Evaluate AI-generated regulatory and scientific content against FDA/EMA submission standards
• Provide structured, expert feedback that directly shapes how AI models 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 — endpoints, safety profiles, biomarkers, and statistical outputs
• Solid familiarity with regulatory standards for agencies such as the FDA or EMA
• Detail-oriented and methodical — you catch what others miss
• Able to translate complex clinical knowledge into clear, structured evaluations
• No prior AI or data annotation experience required

Nice to Have

• Experience with data annotation, data quality assurance, or AI evaluation workflows
• Background in oncology subspecialties such as immuno-oncology, hematologic malignancies, or solid tumors
• Familiarity with clinical decision-making tools or real-world evidence frameworks
• Experience contributing to FDA/EMA submissions or peer-reviewed oncology publications

Why Join Us

• Work directly on frontier AI systems being built to transform cancer research and clinical medicine
• Influence how AI models understand and reason about real oncology data — at the cutting edge of the field
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy: set your own pace, choose your hours, collaborate globally
• Meaningful work with real-world impact on how AI approaches one of medicine's hardest problems
• Potential for ongoing work and contract extension as new projects launch