Remote Life Sciences Problem Designer (3D Visualization)

Turing

United States

Remote

USD 100,000 - 201,000

Full time

4 days ago
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Benefits offered by this job

Flexible hours
Remote work
Competitive pay
Cutting-edge AI projects

Job summary

Turing is seeking Life Sciences Subject Matter Experts to design advanced scientific-reasoning tasks for LifeSciBench. This is a non-coding, contract-style role focused on biological knowledge, experimental interpretation, data analysis, and rigorous scientific reasoning.

You will create challenging, defensible problems based on realistic research scenarios and literature-style evidence, testing synthesis and interpretation over recall while enabling AI evaluation.

Qualifications

  • Ph.D., postdoctoral experience, or equivalent advanced research experience in life sciences.
  • Strong ability to interpret scientific experiments and data.
  • Strong scientific writing skills and attention to precision.

Responsibilities

  • Design graduate-level life sciences problems grounded in realistic research contexts.
  • Develop clear questions and defensible reference answers with scientific reasoning.
  • Interpret experiments, datasets, figures, sequences, and other biological evidence.
  • Validate biological claims, calculations, assumptions, and conclusions.
  • Identify ambiguity and insufficiently constrained questions.
  • Ensure tasks are self-contained, reproducible, and well-documented.

Skills

Life sciences expertise
Data interpretation
Scientific writing

Education

PhD or equivalent

Job description

Turing is seeking Life Sciences Subject Matter Experts to design advanced scientific-reasoning tasks for LifeSciBench. This is a non-coding, contract-style role focused on biological knowledge, experimental interpretation, data analysis, and rigorous scientific reasoning.

You will create challenging, defensible problems based on realistic research scenarios and literature-style evidence, testing synthesis and interpretation over recall while enabling AI evaluation.

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