Oncology Clinical Researcher
Actively Reviewing the ApplicationsAlignerr
India, Maharashtra, Mumbai
Contract
On-site
Posted 1 hour ago
•
Apply by June 8, 2026
Job Description
About The Job
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
What You’ll Do
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
What You’ll Do
- 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
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