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Oncology Clinical Researcher
Job summary
A leading AI research organization seeks an Oncology Clinical Researcher to design and manage clinical trials and analyze oncology data. This remote-position involves ensuring trial compliance with regulatory standards and translating outcomes for regulatory submissions. Ideal candidates will possess deep expertise in cancer research and experience with clinical data analysis. Competitive pay is offered along with autonomy and flexibility in a cutting-edge AI environment.
Benefits
Qualifications
- Proven experience in clinical trial design and management.
- Strong analytical skills in cancer trial data.
- Understanding of FDA and EMA regulatory standards.
Responsibilities
- Design and run oncology clinical trials.
- Analyze cancer trial data for efficacy and safety.
- Translate trial outcomes into regulatory reports.
Skills
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting‑edge AI models. We are seeking an Oncology Clinical Researcher to bring deep expertise in cancer clinical trials into AI‑driven research and evaluation workflows. In this role, you will ensure that oncology trial data used to train and assess advanced AI systems reflects real‑world regulatory, scientific, and clinical standards.
Organization: Alignerr | Position: Oncology Clinical Researcher | Type: Hourly Contract | Compensation: $40–$80 /hour | Location: Remote | Commitment: 10–40 hours/week
- Design and run oncology clinical trials by developing study protocols, overseeing patient enrollment, and ensuring compliance with regulatory and ethical standards.
- Analyze cancer trial data, including safety, efficacy, and biomarker results, to evaluate how well treatments perform.
- Translate trial outcomes into regulatory and scientific reports used for FDA/EMA submissions, publications, and clinical decision‑making.
- Review and evaluate AI‑generated clinical insights for accuracy, clinical relevance, and regulatory alignment.
- Experience 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.
- Familiarity with regulatory submission standards for agencies such as the FDA or EMA.
- Prior experience with data annotation, data quality, or evaluation systems.
- Competitive pay and flexible remote work.
- Work directly on frontier AI systems transforming cancer research.
- Influence how AI models understand and reason about real oncology data.
- Freelance perks: autonomy, flexibility, and global collaboration.
- Potential for contract extension.
- Submit your resume
- Complete a short screening
- Project matching and onboarding
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.