84403 HD - Life Sciences Research Assistant

Cephas Consultancy Services Private Limited; California (MO); On-site; USD 40,000 - 70,000; Full time

Job summary

Cephas Consultancy Services Private Limited is seeking Life Sciences Research Assistants to contribute to a project creating AI benchmarks in the life sciences. You will design authentic evaluation tasks from real data and protocols.

This contractor role emphasizes methodological rigor, source synthesis, and high-quality rubric development. Remote work is available; candidates with biology degrees and data-analysis experience are encouraged to apply.

Qualifications

• Bachelor's or Master's in biology, biomedical sciences, biochemistry, or related discipline.
• Minimum 2 years of hands-on research with primary data analysis.
• Experience with protocol-driven scientific workflows.
• Strong written English and ability to draft scientific documents.
• Familiarity with CSVs, spreadsheets, PDFs and technical documents.

Responsibilities

• Develop complex, authentic research evaluation tasks in life sciences.
• Source and synthesize research materials including raw data and protocols.
• Define methodological approaches and biological interpretations for tasks.
• Create rubrics targeting methodological rigor, data interpretation, and source fidelity.
• Collaborate asynchronously with project coordinators for feedback.

Skills

Methodological rigor

Source synthesis

Rubric fidelity

Data interpretation

Protocol fidelity

Education

Bachelor's or Master's in biology, biomedical sciences, biochemistry, or closely related discipline

Job description

About this position

Positions:10 Contract
Experience
4 - 30 Years

Role Title: Life Sciences Research Assistant

Role Type: Contractor

Location: Remote

We are engaging Life Sciences Research Assistants to contribute to a customer's project focused on creating next-generation AI benchmarks. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. You'll design and author expert-level evaluation tasks, using authentic research artifacts and technical challenges that mirror advanced practice in the life sciences. Each assignment will test AI agents with realistic data sets, multi-step problem-solving, and rigorous evaluation rubrics that go beyond textbook science.

Scope of Work

Develop complex, authentic research evaluation tasks in the life sciences domain (e.g., experimental design critique, protocol analysis, and primary data interpretation).Source and synthesize research materials, including raw experimental data, lab protocols, technical literature, and supplementary documents.Define and document the correct methodological approach and biological interpretation for each task.Create comprehensive, multiple item rubrics targeting methodological rigor, data interpretation, and source fidelity for LLM-based evaluation.Ensure all tasks reflect the nuance, ambiguity, and depth of real-world scientific work - not simplified or hypothetical scenarios.Collaborate asynchronously with project coordinators for feedback and refinement of deliverables.

Preferred Qualifications

Bachelor's or Master's in biology, biomedical sciences, biochemistry, or a closely related discipline.Minimum 2 years of hands-on research or laboratory experience with primary data analysis and scientific protocols.Demonstrated expertise in protocol-driven, multi-source scientific workflows.Mastery of scientific reasoning, source synthesis, and methodological evaluation.Strong written English skills, with experience drafting or reviewing scientific documentation.Familiarity with handling diverse data formats (CSVs, spreadsheets, PDFs, technical documents).Attention to detail and commitment to rubric fidelity, ensuring high-quality, objective task design.

Compensation StructureCompensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.

Start Timeline & AvailabilityWe typically fill roles within48 hoursand are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24-48 hours of completing onboarding.

Skills:Methodological rigor, Source synthesis, Rubric fidelity, Data interpretation, Protocol fidelity