Oncology Clinical Researcher
Job in
St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listed on 2026-09-27
Listing for:
Alignerr Corp.
Full Time
position Listed on 2026-09-27
Job specializations:
-
Research/Development
-
IT/Tech
Job Description & How to Apply Below
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 research that could one day transform patient outcomes worldwide?
We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development.
You'll work with leading AI research teams to ensure that oncology trial data, insights, and outputs meet the highest scientific, regulatory, and clinical standards.
This is a fully remote, flexible contract role built for working oncology professionals and researchers who want to apply their expertise beyond the lab or clinic.
- Organization:
Alignerr - Type:
Hourly Contract - Location:
Remote - Commitment: 10–40 hours/week
- Design and evaluate oncology clinical trial frameworks — including study protocols, patient enrollment criteria, and regulatory compliance standards — for use in AI training workflows
- Analyze cancer trial data across safety, efficacy, and biomarker endpoints to assess treatment performance and clinical relevance
- Translate trial outcomes into clear regulatory and scientific narratives aligned with FDA/EMA submission standards
- Review and evaluate AI-generated clinical insights, flagging inaccuracies and ensuring outputs reflect real-world oncology practice
- Provide expert judgment on how well AI models interpret and reason about complex oncology data
- Work independently and asynchronously — fully on your own schedule
- 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
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented, methodical, and confident in making expert clinical judgments
- Comfortable working independently on structured, task-based assignments
- Prior experience with data annotation, data quality evaluation, or AI model assessment workflows
- Background in translational oncology, precision medicine, or biomarker-driven trial design
- Experience authoring or reviewing clinical study reports, publications, or regulatory dossiers
- Familiarity with AI tools or clinical data platforms as an end user
- Work directly on frontier AI systems being developed alongside the world's leading research labs
- Influence how AI models understand, interpret, and reason about real oncology data
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, expert-level work
- Contribute to AI-driven oncology research with genuine potential to impact cancer care
- Potential for ongoing work and contract extension as new projects launch
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