Oncology Clinical Researcher

Alignerr Corp.; Atlanta (GA); Remote; USD 83,000 - 165,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Contract-to-extend potential

Job summary

Alignerr Corp. seeks an Oncology Clinical Researcher to shape how AI understands and reasons about oncology in real-world trials.

The role is a fully remote, hourly contract—10 to 40 hours per week—designed for oncology professionals who want flexible, meaningful work that aligns with regulatory and scientific standards.

Qualifications

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

Responsibilities

• Design and evaluate trial protocols and enrollment frameworks.
• Analyze trial data including safety, efficacy, and biomarkers.
• Translate outcomes to regulatory-ready narratives for submissions.
• Review AI-generated insights for scientific validity.

Skills

Oncology clinical trial design

Data analysis of trial data

Regulatory familiarity with FDA/EMA

AI in clinical research

Independent / async work

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