We are sharing a specialised full-time opportunity for senior life sciences researchers with deep expertise in biochemistry, molecular and cell biology, genetics, immunology, neuroscience, structural biology, or related research disciplines.

This role supports advanced research focused on improving how AI systems reason through complex life sciences work. Selected scientists will review technical research tasks and outputs, develop authoritative reference solutions and instructions, and translate expert scientific judgement into rigorous standards for evaluating research-level reasoning.

Key Responsibilities

Life Sciences Research Review

• Evaluate scientific tasks and outputs for accuracy, completeness, and research quality
• Identify unsupported causal claims, weak mechanistic reasoning, missing controls, and flawed assumptions
• Assess whether conclusions are appropriately supported by experimental evidence
• Distinguish scientifically rigorous reasoning from plausible but poorly supported explanations
• Apply senior-level judgement across complex biological research scenarios

Biochemistry & Molecular Biology

• Develop and review problems involving biochemical pathways, molecular mechanisms, and cellular processes
• Evaluate protein function, molecular interactions, signalling, and regulatory mechanisms
• Assess experimental interpretations and mechanistic conclusions
• Identify gaps between observed data and proposed biological explanations
• Create reference solutions reflecting current research practice

Cell Biology & Structural Biology

• Review tasks involving cellular organisation, signalling, trafficking, and molecular structure
• Evaluate experimental approaches used to investigate cellular and structural mechanisms
• Assess whether proposed interpretations are consistent with available evidence
• Identify methodological limitations and alternative explanations
• Apply practical research knowledge to complex experimental scenarios

Genetics & Genomics

• Develop and evaluate tasks involving genetics, genomics, gene regulation, and functional analysis
• Review conclusions drawn from genomic and molecular datasets
• Assess experimental design, controls, and interpretation
• Identify unsupported associations or causal claims
• Apply current research standards to genomic reasoning and analysis

Immunology & Immuno-Oncology

• Contribute expertise to scenarios involving immune biology, signalling, disease mechanisms, and therapeutic response
• Evaluate mechanistic reasoning across innate and adaptive immune systems
• Review experimental evidence supporting immune-related conclusions
• Assess biomarker, pathway, and cellular-response interpretations
• Identify overextended or insufficiently supported claims

Neuroscience & Systems Biology

• Review research problems involving neural systems, cellular neuroscience, or systems-level biological interactions
• Evaluate complex multiscale biological reasoning
• Assess relationships between molecular, cellular, and organism-level findings
• Identify missing evidence or alternative interpretations
• Develop reference outputs reflecting expert scientific judgement

Research Task & Reference Solution Development

• Write detailed task instructions grounded in authentic research workflows
• Produce high-quality reference solutions to complex life sciences problems
• Define what constitutes a complete, scientifically sound, and defensible response
• Translate tacit research judgement into explicit evaluation criteria
• Develop new tasks reflecting how experienced scientists approach real research problems

Quality Standards & Calibration

• Collaborate with research teams and specialists from adjacent scientific disciplines
• Help maintain consistent standards across life sciences evaluation work
• Identify recurring weaknesses and failure patterns in model outputs
• Refine evaluation criteria based on observed performance
• Contribute domain expertise to new scientific research workflows

Ideal Profile

• PhD in Biochemistry, Molecular Biology, Cell Biology, Genetics, Immunology, Neuroscience, or a closely related life sciences discipline
• 4+ years of substantive research experience at a recognised research university, academic medical centre, national laboratory, industrial research organisation, or comparable institution
• Genuine specialisation in at least one area such as:
  • Molecular and cell biology
  • Biochemistry and structural biology
  • Immunology and immuno-oncology
  • Genetics and genomics
  • Neuroscience
  • Systems biology
• Clear progression into senior research responsibility, such as Senior Scientist, Staff Scientist, Research Scientist, Instructor, Principal Investigator, faculty member, or comparable level
• Demonstrated ownership of research direction, experimental programmes, or major scientific workstreams
• Strong record of peer-reviewed research is highly valued, particularly first-author or otherwise substantial contributions
• Practical experience using large language models in professional or research workflows
• Strong judgement when distinguishing rigorous scientific reasoning from superficially plausible conclusions
• Excellent written communication and ability to provide precise, structured scientific feedback

Engagement Details

• Full-time position
• Hybrid — Bay Area, California
• Expected commitment of 40 hours per week
• Initial engagement of approximately 6 months
• Compensation: $55–$95/hour
• Candidates must live in the Bay Area and be available to work on-site with the assigned team multiple days per week when required
• Candidates not currently based in the Bay Area must be willing to relocate there at their own expense before the engagement begins
• Relocation assistance is not provided
• Client-issued accounts and equipment may be provided for work within designated systems and workflows
• Projects may be extended, shortened, or concluded based on organisational needs and performance

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

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