Life Sciences Research Scientist (Remote | $60–$120/hr)

Synthires; United States; Remote; USD 62,000 - 124,000; Full time

Job summary

micro1 is seeking a Life Sciences Research Scientist (PhD) for a remote contract role. You will develop challenging, expert-level problems in life sciences and evaluate AI-generated outputs for scientific rigor, with rubrics grounded in primary literature.

You will apply experimental and computational biology expertise across genomics, proteomics, and more, ensuring methodological soundness and clear written explanations for peer review.

Qualifications

• PhD in Biology or closely related life sciences.
• Hands-on lab research experience in academic, institutional, or industry settings.
• Strong grasp of experimental design, scientific methodology, and data interpretation.
• Professional proficiency in English (C1 or higher).
• Clear written communication and attention to detail.

Responsibilities

• Design and develop expert-level life sciences problems with verifiable solutions.
• Review AI-generated outputs for scientific accuracy and rigor.
• Create detailed grading rubrics and reference answers from primary literature.
• Apply knowledge across genomics, transcriptomics, single-cell and spatial omics, and related fields.
• Assess methodological soundness of experiments, pipelines, and analyses.
• Bridge experimental and computational perspectives to validate conclusions.
• Provide clear, structured explanations of reasoning for peer review.

Skills

English C1+

Analytical thinking

Scientific writing

Attention to detail

Experimental design

Education

PhD in Biology or closely related life sciences

Tools

Python

Gaussian

GROMACS

LAMMPS

AMBER

ORCA

Psi4

Job description

Life Sciences Research Scientist (PhD) (Remote | $45–$90/hr)

Position: Life Sciences Research Scientist (PhD)

Type: Contractor

Compensation: $45–$90/hour

Location: Remote

About the Opportunity

micro1 is seeking experienced life sciences researchers with a completed PhD and hands‑on laboratory research experience to contribute to projects focused on evaluating and improving advanced AI systems.

In this role, you will apply your scientific expertise across experimental and computational biology to develop challenging research problems, evaluate AI‑generated scientific outputs, and assess the accuracy and rigor of scientific reasoning. You will create expert‑level questions, develop reference answers and grading rubrics, and identify subtle scientific errors that require specialized domain knowledge.

This opportunity is ideal for researchers who combine strong experimental skills with computational expertise and a deep understanding of scientific methodology.

Key Responsibilities

• Design and develop challenging, expert‑level scientific problems in life sciences with clear, verifiable solutions.
• Review and evaluate AI‑generated outputs for scientific accuracy, methodological rigor, and depth of reasoning.
• Develop detailed grading rubrics and reference answers grounded in primary literature and established experimental and computational methods.
• Apply domain expertise across genomics, transcriptomics, single‑cell and spatial omics, epigenomics, proteomics, metabolomics, microbiome research, metagenomics, structural biology, drug discovery, systems biology, and clinical or translational research.
• Evaluate whether proposed experiments, computational pipelines, data analyses, and scientific interpretations are methodologically sound.
• Bridge experimental and computational perspectives to assess the validity of scientific conclusions.
• Provide clear, structured written explanations of scientific reasoning so other experts can review and validate the results.
• Incorporate iterative feedback and peer review to meet project quality standards.

Required Qualifications

• Completed PhD in Biology, Molecular Biology, Genetics, Genomics, Biochemistry, Bioinformatics, Computational Biology, Immunology, Neuroscience, Microbiology, or a closely related life sciences discipline.
• Hands‑on research experience in an academic, institutional, or industry laboratory.
• Strong understanding of experimental design, scientific methodology, data interpretation, and research validation.
• Professional written and spoken English proficiency at C1 level or higher.
• Strong analytical reasoning, problem‑solving, scientific writing, and attention to detail.
• Ability to evaluate complex scientific questions and communicate evidence‑based conclusions clearly.

Preferred Qualifications

• Practical wet‑lab experience performing experiments such as PCR/qPCR, cell culture, sequencing library preparation, Western blotting, protein purification, LC‑MS sample preparation, or CRISPR workflows.
• Experience in computational biology, bioinformatics, molecular simulations, computational chemistry, or scientific programming.
• Familiarity with Python and scientific computing tools, including Gaussian, GROMACS, LAMMPS, AMBER, ORCA, or Psi4, where relevant to the candidate's research area.
• Knowledge of cheminformatics, electronic structure methods, molecular dynamics, drug discovery, or AI/ML‑assisted chemistry workflows.
• Postdoctoral experience, staff scientist experience, research faculty appointments, or equivalent advanced research experience.
• Peer‑reviewed publications, preferably as a first or corresponding author.
• PhD from a leading research university in the United States, United Kingdom, or another recognized research institution.
• Experience evaluating AI‑generated scientific content or computational research outputs is beneficial but not required.