Apply computational biology and medicinal chemistry expertise to help train next-generation AI systems through rigorous scientific analysis, evaluation, and real-world technical input.
Key Responsibilities
- Analyze and annotate complex biological datasets for applications relevant to medicinal chemistry.
- Provide domain-specific feedback and insights that improve AI systems used in computational biology contexts.
- Evaluate scientific content for accuracy, relevance, and clarity, ensuring alignment with industry standards.
- Develop and review problem sets, case studies, and scenarios based on real-world medicinal chemistry challenges.
- Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
- Help refine data-curation methodologies and best practices for computational biology work.
Qualifications
- Advanced degree, PhD, PharmD, or MSc, in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
- Demonstrated medicinal chemistry expertise, including experience in drug discovery or design.
- Strong analytical skills and deep familiarity with biological datasets and scientific literature.
- Experience applying computational methods to chemistry or biology problems.
- Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data-analysis software.
- Excellent written communication skills and the ability to explain complex scientific concepts to varied audiences.
- Experience with cross-disciplinary or AI-driven scientific projects is a plus.
Work Terms
- Remote contract engagement.
- No prior AI experience is required.
- Scientific domain expertise is the primary requirement.
Compensation
$90 to $120 per hour.