STEM Expert – Biology & Bioinformatics (PhD)

micro1 Inc.; United States; Remote; USD 96,000 - 165,000; Part time

Job summary

micro1 Inc. is seeking a STEM Expert in Biology & Bioinformatics (PhD) for a remote, contractor role. You will train AI systems by designing and evaluating workflows across genomics, transcriptomics, proteomics, and systems biology, ensuring high-quality real-world data.

You will analyze NGS, RNA-seq, single-cell data, optimize pipelines, and document methods for knowledge transfer to the customer team. Strong Python or R skills and a track record in publishing or open‑source contributions are

Qualifications

• PhD in biology, bioinformatics, genomics, or related field, or equivalent experience.
• Proficient in Python and/or R for scientific analysis.
• Experience analyzing real biological data.
• Strong statistical and analytical reasoning.
• Excellent written and verbal communication.
• Experience with standard tools (BLAST, samtools, GATK, Bioconductor, Biopython).

Responsibilities

• Design, evaluate biology, bioinformatics, and computational workflows for AI benchmarking.
• Provide expert-level insights on genomic, transcriptomic, proteomic data analysis pipelines.
• Assess and optimize pipeline parameters, tool configurations, and statistical methods for reproducibility.
• Analyze biological datasets (NGS, RNA-seq, single-cell, variant calling, protein structure) and provide actionable recommendations.
• Guide development and validation of biology-related AI models and tools.
• Communicate complex scientific concepts clearly to technical and non-technical collaborators.
• Document findings, methodologies, and best practices for knowledge transfer across teams.

Skills

Biostatistics

Machine learning applied to biology

Scientific communication

Analytical reasoning

English proficiency

Education

PhD in biology or bioinformatics

Tools

BLAST

samtools

GATK

Bioconductor

Biopython

Nextflow

Snakemake

Job description

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:

1. Design, evaluate, and critique biology, bioinformatics, and computational biology workflows to support AI benchmarking initiatives.
2. Provide expert-level insights on genomic, transcriptomic, proteomic, and other biological data analysis pipelines.
3. Assess and optimize pipeline parameters, tool configurations, and statistical methods for accuracy and reproducibility.
4. Analyze biological datasets (e.g., NGS, RNA-seq, single-cell, variant calling, protein structure) and provide actionable recommendations.
5. Leverage domain knowledge to guide the development and validation of biology‑related AI models and tools.
6. Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non‑technical collaborators.
7. 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):

1. Genomics & NGS analysis
2. Transcriptomics & single‑cell analysis
3. Proteomics & structural biology
4. Molecular & cell biology
5. Systems biology & biological network analysis
6. Drug discovery & computational pharmacology
7. Biostatistics & machine learning applied to biology

Required Skills and Qualifications:

1. PhD in biology, bioinformatics, computational biology, genomics, or a closely related STEM field, or equivalent industry/research experience.
2. Professional written and spoken English (C1 or higher).
3. Deep expertise in at least one of the areas listed above, with hands‑on experience analyzing real biological data.
4. Proficiency in Python and/or R for scientific analysis, plus experience with standard tools in your subfield (e.g., BLAST, samtools, GATK, Bioconductor, Biopython).
5. Strong statistical, quantitative, and analytical reasoning skills.
6. Outstanding written and verbal communication abilities, with the ability to clearly document and explain technical concepts.
7. Track record of rigorous scientific problem‑solving in complex biological domains.

Preferred Qualifications:

1. Experience building reproducible workflows (Nextflow, Snakemake) and working in Linux/command‑line environments.
2. Experience with AI/ML‑assisted biology workflows or benchmarking.
3. Peer‑reviewed publications, patents, or contributions to open‑source bioinformatics software.