Job description

About the Role Our client is seeking experienced life sciences professionals across clinical healthcare, drug discovery, computational biology, bioinformatics, and experimental biology to evaluate how frontier AI models perform on realistic scientific and clinical work. Experts design authentic tasks drawn from their own professional experience, run them through advanced AI models, and assess outputs against professional standards. Examples may include clinical case evaluations, experimental design reviews, omics analyses, drug development decisions, data interpretation, laboratory troubleshooting, protocol development, and scientific reporting. You will work with realistic professional files and scenarios while helping improve the next generation of AI systems. This is not a traditional laboratory, research, or clinical role. Success requires strong written reasoning, attention to detail, and subject matter expertise. Domain Qualifications Clinical Sciences Experience evaluating clinical workflows, patient care decisions, documentation, medication management, diagnostics, care planning, or healthcare operations. Relevant backgrounds include: • RN, NP, PA, MD, DO • PharmD • Respiratory Therapy, Physical Therapy, Midwifery, and other licensed healthcare professionals • Acute care, primary care, emergency medicine, critical care, oncology, pediatrics, behavioral health, geriatrics, and related specialties Drug Discovery & Translational Science Experience supporting discovery, preclinical development, translational research, or therapeutic development programs. Relevant backgrounds include: • Medicinal Chemistry • Computational Chemistry • Drug Discovery Biology • DMPK / PK-PD • Toxicology • Translational Medicine • Biomarker Science • Cell & Gene Therapy • Protein Engineering • CMC and Formulation Development Computational Biology & Bioinformatics Experience analyzing biological datasets and generating scientific insights using computational methods. Relevant backgrounds include: • Computational Biology • Bioinformatics • Genomics • Transcriptomics • Multiomics • Statistical Genetics • Clinical Genomics • Machine Learning for Biology • Population Genetics Preferred technical skills: • Python and/or R • Statistical analysis • Biological data interpretation • Reproducible research workflows Experimental Biology Experience designing, executing, troubleshooting, and interpreting laboratory experiments. Relevant backgrounds include: • Molecular Biology • Cell Biology • Immunology • Protein Biochemistry • Flow Cytometry • Imaging & Histology • Microbiology • Virology • Preclinical Research General requirements • 2+ years of hands-on experience in a relevant life sciences discipline preferred • Bachelor’s degree (in progress or completed) or higher in a life sciences-related field • Current or recent individual contributor experience, not solely managerial responsibility • Strong written and verbal English communication skills • Ability to explain complex scientific or clinical reasoning clearly • Familiarity with AI tools such as Claude, ChatGPT, or similar LLMs • Strong attention to detail and ability to work independently • Comfort learning new workflows from written guidance • Basic technical proficiency with cloud-based tools and file management • Available for at least 10 hours per week • Located in the United States, Canada, or the UK

Requirements

Must-haves

Domain Qualifications
Clinical Sciences
Experience evaluating clinical workflows, patient care decisions, documentation, medication management, diagnostics, care planning, or healthcare operations.
Respiratory Therapy, Physical Therapy, Midwifery, and other licensed healthcare professionals
Acute care, primary care, emergency medicine, critical care, oncology, pediatrics, behavioral health, geriatrics, and related specialties
Drug Discovery & Translational Science
Experience supporting discovery, preclinical development, translational research, or therapeutic development programs.
Medicinal Chemistry
Computational Chemistry
Drug Discovery Biology
Translational Medicine
Biomarker Science
Cell & Gene Therapy
Protein Engineering
CMC and Formulation Development
Computational Biology & Bioinformatics
Experience analyzing biological datasets and generating scientific insights using computational methods.
Computational Biology
Bioinformatics
Transcriptomics
Statistical Genetics
Clinical Genomics
Machine Learning for Biology

Nice-to-haves

2+ years of hands-on experience in a relevant life sciences discipline preferred

Application prep

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Keywords to mirror

aimachine learningpython

Platform: wp-job-manager
Effort: medium

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