Computational Biology & Bioinformatics Expert (PhD)

pay

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 advanced computational chemistry workflows to support AI benchmarking initiatives.
Provide expert-level insights on molecular simulations, electronic structure methods, and cheminformatics pipelines.
Assess and optimize simulation parameters and scientific software configurations for accuracy and reproducibility.
Analyze data from molecular dynamics, quantum chemistry, and drug discovery projects, providing actionable recommendations.
Leverage domain knowledge to guide the development and validation of chemistry-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 chemistry, computational chemistry, or closely related field, or equivalent industry/research experience.
Professional written and spoken English (C1 or higher)
Deep expertise with computational chemistry methods and simulation-heavy environments is desirable.
Proficiency with industry-standard tools such as Gaussian, ORCA, Psi4, NWChem, GROMACS, LAMMPS, AMBER, RDKit, or OpenBabel would be ideal.
Strong scientific programming and analytical workflow experience, especially using Python.
Excellent quantitative, analytical, and scientific 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 chemistry domains.

Preferred Qualifications

Experience with AI/ML-assisted chemistry workflows or benchmarking.
Peer-reviewed publications, patents, or contributions to open-source scientific software.
Background in drug discovery, spectroscopy analysis, or reaction prediction/retrosynthesis.
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