Computational Biology & Bioinformatics Expert (PhD)

micro1; United States; A distancia; USD 83.000 - 165.000; A tiempo parcial

Descripción de la vacante

Himalayas is seeking a Computational Biology & Bioinformatics Expert (PhD) for remote contract work. You will apply your expertise to train AI systems, shape how models learn, and contribute to real-world chemistry and drug-discovery workflows.

Responsibilities include designing workflows, providing insights on molecular simulations, optimizing parameters, analyzing complex data, and documenting methods for cross-team knowledge transfer. Strong English and a PhD are required.

Formación

• PhD in 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 heavy simulation environments.
• Proficiency with Gaussian, ORCA, Psi4, NWChem, GROMACS, LAMMPS, AMBER, RDKit, or OpenBabel.

Responsabilidades

• Design, evaluate, and critique advanced computational chemistry workflows to support AI benchmarking.
• Provide expert-level insights on molecular simulations and cheminformatics pipelines.
• Assess and optimize simulation parameters and software configurations for accuracy.
• Analyze data from molecular dynamics, quantum chemistry, and drug discovery projects.
• Guide development and validation of chemistry-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.

Conocimientos

Python

Analytical workflow

Scientific communication

English proficiency

Educación

PhD in Chemistry

Herramientas

Gaussian

ORCA

Psi4

NWChem

GROMACS

LAMMPS

AMBER

RDKit

OpenBabel

Descripción del empleo

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.

Originally posted on Himalayas