openqareer

Computational Biology & Bioinformatics Expert (PhD)

micro1 · Удалённо · 45 — 90 USD

# Computational Biology & Bioinformatics Expert (PhD) **micro1** · `Remote` · `Contractor` 💼 **Уровень роли:** `Senior` 💰 **Компенсация:** `$45 – $90` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Computational-Biologist]` `[Bioinformatics-Scientist]` `[Bioinformatics-Research-Scientist]` `[Bioinformatics-Specialist]` `[Bioinformatics-Domain-Expert]` `[Senior-Bioinformatics-Scientist]` --- ### About the Role 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

Наблюдалась 2026-10-16, впервые 2026-10-16, источник — Himalayas (JSON API).

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