Computational Biology & Bioinformatics Expert (PhD)

Pay: $45 - $90/hour

Required Skills
computational chemistry
molecular simulations
python
gaussian
gromacs
lammps
amber
orca
psi4
nwchem
rdkit
openbabel
cheminformatics
electronic structure methods
scientific software configuration
molecular dynamics
drug discovery
ai/ml-assisted chemistry workflows
quantitative analysis
analytical reasoning
scientific programming
written communication
verbal communication
documentation
problem-solving
About micro1
micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.

Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.

Job Title: Computational Biology & Bioinformatics Expert (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 bioinformatics and computational biology workflows to support AI benchmarking initiatives.
Provide expert-level insights on genomic, transcriptomic, and proteomic 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, 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.

Required Skills and Qualifications:

PhD in bioinformatics, computational biology, genomics, or a closely related field, or equivalent industry/research experience.
Professional written and spoken English (C1 or higher).
Hands-on experience analyzing biological data (e.g., NGS, RNA-seq, variant analysis).
Proficiency in Python and/or R for scientific analysis, plus experience with standard bioinformatics tools (e.g., BLAST, samtools, GATK, Bioconductor, Biopython).
Experience building reproducible workflows with tools such as Nextflow or Snakemake, and comfort working in Linux/command-line environments.
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 with AI/ML-assisted biology workflows or benchmarking.
Peer-reviewed publications, patents, or contributions to open-source bioinformatics software.
Background in single-cell analysis, structural biology, proteomics, or drug discovery.
prediction/retrosynthesis.
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