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
PhD in biology, bioinformatics, computational biology, genomics, or a closely related STEM field; equivalent industry or research experience is also accepted.
unspecified
These fields are normalized from the employer's text. Confirm details on the employer site before applying.
What this posting tells you
Remote contractor role applying biology and bioinformatics expertise to evaluate workflows, analyze biological datasets, and support AI benchmarking and model development. The listing describes worldwide remote work but says country eligibility must be checked on the official posting. No salary or benefits are stated.
Backend, Data, Design and creative, Software, Customer support, Writing and content
Eligible countries are not stated.
Timezone overlap is not stated.
Expert · Contractor
- Eligible hiring countries are not stated
- Required timezone overlap is not stated
Backend hiring on WFH.team
This role's listed pay is below the median among 200 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketSTEM Expert – Biology & Bioinformatics (PhD) at micro1
Job Title: STEM Expert – Biology & Bioinformatics (PhD)
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, evaluate, and critique biology, bioinformatics, and computational biology workflows to support AI benchmarking initiatives.
Provide expert-level insights on genomic, transcriptomic, proteomic, and other biological data analysis pipelines.
Assess and optimize pipeline parameters, tool configurations, and statistical methods for accuracy and reproducibility.
Analyze biological datasets (e.g., NGS, RNA-seq, single-cell, variant calling, protein structure) and provide actionable recommendations.
Leverage domain knowledge to guide the development and validation of biology-related AI models and tools.
Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non-technical collaborators.
Document findings, methodologies, and best practices to ensure knowledge transfer across the customer’s team.
Areas of Expertise (we welcome applicants from any of the following):
Genomics & NGS analysis
Transcriptomics & single-cell analysis
Proteomics & structural biology
Molecular & cell biology
Systems biology & biological network analysis
Drug discovery & computational pharmacology
Biostatistics & machine learning applied to biology
Required Skills and Qualifications
PhD in biology, bioinformatics, computational biology, genomics, or a closely related STEM field, or equivalent industry/research experience.
Professional written and spoken English (C1 or higher).
Deep expertise in at least one of the areas listed above, with hands-on experience analyzing real biological data.
Proficiency in Python and/or R for scientific analysis, plus experience with standard tools in your subfield (e.g., BLAST, samtools, GATK, Bioconductor, Biopython).
Strong statistical, quantitative, and analytical reasoning skills.
Outstanding written and verbal communication abilities, with the ability to clearly document and explain technical concepts.
Track record of rigorous scientific problem-solving in complex biological domains.
Preferred qualifications
Experience building reproducible workflows (Nextflow, Snakemake) and working in Linux/command-line environments.
Experience with AI/ML-assisted biology workflows or benchmarking.
Peer-reviewed publications, patents, or contributions to open-source bioinformatics software.
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.