Oncology Clinical Researcher

Alignerr; Atlanta (GA); Remote; USD 83,000 - 138,000; Part time

Job summary

Alignerr is seeking an Oncology Clinical Researcher to shape how AI understands oncology trial data. You will design protocols, analyze outcomes, and ensure regulatory alignment while working remotely on a flexible hourly contract.

This role focuses on grounding AI workflows in real-world clinical and regulatory standards, with 10–40 hours per week and autonomy to manage tasks asynchronously.

Qualifications

• Experience designing and managing oncology clinical trial protocols.
• Experience analyzing oncology trial data (endpoints, safety, biomarkers).
• Familiarity with FDA/EMA regulatory submission standards.

Responsibilities

• Design and evaluate oncology trial protocols including design, enrollment frameworks, and regulatory/ethical compliance.
• Analyze cancer trial data for safety, efficacy endpoints, and biomarker results.
• Translate trial outcomes into regulatory and scientific narratives aligned with FDA/EMA standards.
• Review AI-generated clinical insights for accuracy and regulatory alignment.
• Set standards for how frontier AI systems reason about real-world oncology data.

Skills

Oncology trial design

Data analysis in oncology

Regulatory submissions familiarity

Independent work / asynchronous

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 researchers, clinicians, and scientists rely on for years to come?

We're looking for Oncology Clinical Researchers to bring real-world rigor to AI-driven research workflows. You'll help ensure that the AI systems being built to support cancer research are grounded in genuine clinical, regulatory, and scientific standards - not approximations.

This is a fully remote, flexible contract role built for oncology professionals who want to do meaningful work on their own schedule.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10-40 hours/week

What You'll Do

• Design and evaluate oncology clinical trial protocols, covering study design, patient enrollment frameworks, and regulatory and ethical compliance standards
• Analyze cancer trial data - including safety profiles, efficacy endpoints, and biomarker results - to assess treatment performance and data quality
• Translate trial outcomes into clear regulatory and scientific narratives aligned with FDA/EMA submission standards, publications, and clinical decision-making contexts
• Review and evaluate AI-generated clinical insights for accuracy, scientific validity, and regulatory alignment
• Help set the standard for how frontier AI systems reason about real-world oncology data

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 hold AI outputs to the same standards you'd apply in a clinical or regulatory setting
• Comfortable working independently and asynchronously on task-based assignments

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI evaluation workflows
• Background in translational oncology, clinical pharmacology, or medical writing
• Experience preparing or reviewing regulatory submissions (INDs, NDAs, CTDs)
• Familiarity with AI tools or clinical data platforms as an end user

Why Join Us

• Work directly on frontier AI systems transforming how cancer research is conducted and understood
• Influence how AI models reason about real oncology trial data - at a level of depth that actually matters
• Fully remote and flexible - work when and where it suits you
• Freelance autonomy with the structure of meaningful, task-based work
• Collaborate with world-leading AI research teams and labs
• Potential for ongoing work and contract extension as new projects launch