WFH.teamOpen app$94k-$187k
Salary details are shown when available from the source listing. Sign in before applying so the role can be reviewed against your resume, salary goals, seniority, timezone, and location eligibility.
Decision details from the source listing
Completed PhD in Biology, Molecular Biology, Genetics, Genomics, Biochemistry, Bioinformatics, Computational Biology, Immunology, Neuroscience, Microbiology, or a closely related life science field
unknown
These fields are normalized from the employer's text. Confirm details on the employer site before applying.
What this posting tells you
Remote contract role contributing expert life sciences problems, evaluations, rubrics, and explanations for AI training. Requires a completed relevant PhD, hands-on research laboratory experience, and C1-or-higher English. Country eligibility requires confirmation on the official posting.
Design and creative, Healthcare admin
Eligible countries are not stated.
Timezone overlap is not stated.
PhD-level research scientist · Contract
- Eligible hiring countries are not stated
- Required timezone overlap is not stated
Design and creative hiring on WFH.team
This role's listed pay is above the median among 13 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketLife Sciences Research Scientist (PhD): Wet Lab & Computational Biology at micro1
Job Title: Life Sciences Research Scientist (PhD): Wet Lab & Computational Biology Job Type: Contractor Location: Remote(Worldwide) Job Summary: 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. Key
Responsibilities
Design and write challenging, expert-level scientific problems in the life sciences, with clear, verifiable solutions. Review and evaluate AI model outputs for scientific accuracy, rigor, and depth of reasoning, catching subtle errors that non-specialists would miss. Develop detailed rubrics and reference answers grounded in primary literature and established experimental and computational methodology.
Apply your domain expertise in areas such as genomics, transcriptomics and single-cell/spatial omics, epigenomics, proteomics and metabolomics, microbiome and metagenomics, structural biology, drug discovery, systems biology, and clinical/translational research. Bridge experimental and computational perspectives: assess whether a proposed experiment, analysis pipeline, or interpretation is scientifically sound. Provide clear written explanations of your reasoning so other experts can follow and validate it.
Meet quality standards through iterative feedback and peer review.
Required qualifications
Qualifications
(MUST) Completed PhD in Biology, Molecular Biology, Genetics, Genomics, Biochemistry, Bioinformatics, Computational Biology, Immunology, Neuroscience, Microbiology, or a closely related life science field. Hands-on research experience in an academic, institutional, or industry research laboratory. Professional written and spoken English (C1 or higher). , PCR/qPCR, cell culture, sequencing library prep, Western blot, protein purification, LC-MS sample prep, CRISPR workflows).
Academic research experience: postdoctoral position, staff scientist, research faculty, or equivalent. Peer-reviewed publications, ideally as first or corresponding author. PhD from a top research university (US, UK, or other leading institutions).
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.