Oncology Clinical Researcher
Alignerr, Chicago, IL, United States
Oncology Clinical Researcher (AI Training)
About The Role
What if your deep expertise in cancer clinical trials could directly shape how AI understands, reasons about, and advances oncology research? We’re looking for Oncology Clinical Researchers to bring real-world clinical knowledge into cutting‑edge AI training and evaluation workflows — ensuring the AI systems influencing cancer care are grounded in rigorous, regulatory‑grade science.
This is a fully remote, flexible contract role. No AI background required — 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, endpoint selection, and compliance with regulatory and ethical standards
Analyze cancer trial data — including safety profiles, efficacy outcomes, and biomarker results — to assess treatment performance and clinical relevance
Translate trial findings into clear regulatory and scientific outputs aligned with FDA, EMA, or equivalent submission standards
Review and evaluate AI‑generated clinical insights for scientific accuracy, clinical appropriateness, and regulatory alignment
Provide structured, expert feedback that directly improves how AI models reason about oncology data
Work independently and asynchronously — fully on your own schedule
Who You Are
Experienced in designing and managing oncology clinical trials, from protocol development through data readout
Strong background in analyzing oncology endpoints, safety data, and biomarker results
Familiar with regulatory submission frameworks for agencies such as the FDA or EMA
Detail‑oriented and methodical — you hold AI‑generated content to the same standards you’d apply in a clinical or regulatory setting
Comfortable working independently on structured, task‑based assignments
Nice to Have
Prior experience with data annotation, data quality evaluation, or AI assessment workflows
Background in oncology subspecialties such as hematology, immunotherapy, or precision medicine
Experience authoring or reviewing clinical study reports, IND/NDA submissions, or peer‑reviewed publications
Familiarity with biostatistics or clinical data management
Why Join Us
Work directly on frontier AI systems transforming how the world understands and fights cancer
Influence how AI models learn to reason about real oncology data — your expertise shapes the output
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, expert‑level work
Collaborate with leading AI research teams pushing the boundaries of medical AI
Potential for ongoing work and contract extension as new projects launch
#J-18808-Ljbffr
About The Role
What if your deep expertise in cancer clinical trials could directly shape how AI understands, reasons about, and advances oncology research? We’re looking for Oncology Clinical Researchers to bring real-world clinical knowledge into cutting‑edge AI training and evaluation workflows — ensuring the AI systems influencing cancer care are grounded in rigorous, regulatory‑grade science.
This is a fully remote, flexible contract role. No AI background required — 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, endpoint selection, and compliance with regulatory and ethical standards
Analyze cancer trial data — including safety profiles, efficacy outcomes, and biomarker results — to assess treatment performance and clinical relevance
Translate trial findings into clear regulatory and scientific outputs aligned with FDA, EMA, or equivalent submission standards
Review and evaluate AI‑generated clinical insights for scientific accuracy, clinical appropriateness, and regulatory alignment
Provide structured, expert feedback that directly improves how AI models reason about oncology data
Work independently and asynchronously — fully on your own schedule
Who You Are
Experienced in designing and managing oncology clinical trials, from protocol development through data readout
Strong background in analyzing oncology endpoints, safety data, and biomarker results
Familiar with regulatory submission frameworks for agencies such as the FDA or EMA
Detail‑oriented and methodical — you hold AI‑generated content to the same standards you’d apply in a clinical or regulatory setting
Comfortable working independently on structured, task‑based assignments
Nice to Have
Prior experience with data annotation, data quality evaluation, or AI assessment workflows
Background in oncology subspecialties such as hematology, immunotherapy, or precision medicine
Experience authoring or reviewing clinical study reports, IND/NDA submissions, or peer‑reviewed publications
Familiarity with biostatistics or clinical data management
Why Join Us
Work directly on frontier AI systems transforming how the world understands and fights cancer
Influence how AI models learn to reason about real oncology data — your expertise shapes the output
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, expert‑level work
Collaborate with leading AI research teams pushing the boundaries of medical AI
Potential for ongoing work and contract extension as new projects launch
#J-18808-Ljbffr