Oncology Clinical Researcher

Alignerr Corp.; Glasgow; Remote; GBP 83,000 - 152,000; Part time

Job summary

Alignerr is seeking an Oncology Clinical Researcher to shape AI training through deep oncology clinical trial expertise. You will design and evaluate protocols, analyze trial data, and ensure regulatory alignment for AI-assisted cancer research.

Remote, flexible hourly contract (10–40 hours/week). You’ll work independently, delivering scientifically rigorous assessments that translate to robust AI outputs used by leading medical researchers.

Qualifications

• Must have experience in designing and managing oncology trials.
• Strong data analysis skills in oncology endpoints and biomarkers.
• Familiar with FDA/EMA regulatory submission standards.
• Detail-oriented and able to work independently with scientific rigor.

Responsibilities

• Design and evaluate oncology clinical trial protocols, including patient enrollment criteria, study endpoints, and regulatory compliance frameworks
• Analyze cancer trial data — covering safety profiles, efficacy results, and biomarker findings — to assess treatment performance and clinical relevance
• Translate complex trial outcomes into clear, structured outputs aligned with FDA, EMA, and other regulatory submission standards
• Review and evaluate AI-generated oncology content for scientific accuracy, clinical validity, and regulatory alignment
• Identify gaps, errors, and inconsistencies in how AI models interpret and represent oncology research

Skills

Oncology trial design

Data analysis

Regulatory compliance

Independent work

Job description

Oncology Clinical Researcher (AI Training)

About The Role

What if your deep knowledge of cancer clinical trials could directly shape how AI reasons about one of medicine's most complex and high-stakes fields? We're looking for an Oncology Clinical Researcher to bring real-world expertise into the AI development process — ensuring that the models transforming cancer research are grounded in rigorous clinical science.

This is a fully remote, flexible contract role. No prior AI experience needed — just a strong command of oncology trial design, data analysis, and regulatory standards.

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

What You'll Do

• Design and evaluate oncology clinical trial protocols, including patient enrollment criteria, study endpoints, and regulatory compliance frameworks
• Analyze cancer trial data — covering safety profiles, efficacy results, and biomarker findings — to assess treatment performance and clinical relevance
• Translate complex trial outcomes into clear, structured outputs aligned with FDA, EMA, and other regulatory submission standards
• Review and evaluate AI-generated oncology content for scientific accuracy, clinical validity, and regulatory alignment
• Identify gaps, errors, and inconsistencies in how AI models interpret and represent oncology research

Who You Are

• Experienced in designing and managing oncology clinical trials from protocol development through data readout
• Strong analytical background in oncology data — including endpoints, safety profiles, and biomarkers
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented and methodical, with a commitment to scientific rigor
• Able to work independently and deliver consistent, high-quality evaluations

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI evaluation workflows
• Background in translational oncology or clinical pharmacology
• Experience contributing to peer-reviewed publications or regulatory dossiers

Why Join Us

• Work directly on frontier AI systems that are transforming how cancer research is understood and applied
• Influence how AI models reason about real oncology data — your expertise shapes the science
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, task-based work
• Collaborate with leading AI research labs and teams at the cutting edge of medical AI
• Potential for ongoing work and contract extension as new projects launch