BioMystery Benchmark Architect: Biology AI Research

TELUS Digital AI Data Solutions; Philippines; On-site; PHP 7,561,000 - 9,452,000; Full time

Job summary

TELUS Digital is looking for PhD-level Biology and Life Sciences researchers in India to contribute to BioMystery, an advanced benchmark designed to evaluate how well AI systems can reason through complex biological and biomedical problems.

As a BioMystery Benchmark Specialist, you will use your research expertise to create, solve, validate, and evaluate challenging scientific problems that require more than factual recall.

Qualifications

• PhD completed or currently pursuing in Biology, Biotechnology, Biochemistry, Biomedical Sciences, Life Sciences, or a closely related discipline.
• Demonstrated research experience in a relevant biological or biomedical field.
• Excellent written and spoken English.
• Ability to work independently in a remote, project-based environment.

Responsibilities

• Design original, challenging biology and biomedical problems for evaluating advanced AI systems.
• Create problems requiring multi-step scientific reasoning, evidence interpretation, hypothesis evaluation, and domain expertise.
• Develop clear, scientifically rigorous solutions and expected answers.
• Evaluate AI-generated responses for scientific accuracy, logical reasoning, biological plausibility, and evidence interpretation.
• Review benchmark questions for ambiguity, unintended shortcuts, insufficient information, or multiple valid interpretations.
• Provide structured feedback to improve benchmark quality and model evaluation.

Skills

Research experience

Analytical reasoning

English proficiency

Education

PhD in Biology or related

Job description

TELUS Digital is looking for PhD-level Biology and Life Sciences researchers in India to contribute to BioMystery, an advanced benchmark designed to evaluate how well AI systems can reason through complex biological and biomedical problems.

As a BioMystery Benchmark Specialist, you will use your research expertise to create, solve, validate, and evaluate challenging scientific problems that require more than factual recall.