3 дня назад
Computational Chemist (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Computational Chemist (AI/ML): Developing computational chemistry workflows, drug design methods, and data-driven analyses to support hit finding, lead optimization, and progression toward clinical candidates with an accent on medicinal chemistry, molecular simulation, and large-scale chemical and biological data. Focus on designing and validating computational workflows, applying AI/ML and free-energy methods, integrating experimental data, and communicating scientific insights across chemistry, biology, and DMPK teams.
Location: St Charles, MO, USA
Company
Eurofins Scientific is an international life sciences company providing analytical testing, drug discovery, clinical diagnostics, and related laboratory services through a global network.
What you will do
- Serve as the computational chemistry subject-matter expert for nonclinical research and development.
- Lead research projects and implement computational workflows supporting hit identification, lead optimization, and clinical candidate discovery.
- Develop and apply computer-aided drug design, molecular simulation, data-mining, and visualization methods.
- Analyze, interpret, integrate, and report research informatics data from internal teams and external clients.
- Partner with medicinal chemistry teams on docking, molecular scoring, rational drug design, and lead optimization.
- Coordinate data governance and communicate project status, risks, and strategies with chemistry leadership and cross-functional teams.
Requirements
- Demonstrated impact in drug discovery projects, including lead identification or optimization and compound progression.
- Strong medicinal chemistry knowledge with the ability to translate computational insights into design hypotheses.
- Experience with ligand-based design, QSAR, similarity searching, conformational analysis, FEP, and MM-GBSA.
- Experience curating large chemical and biological datasets and applying reproducible data-quality practices.
- Knowledge of AI/ML approaches in drug discovery, statistical validation, uncertainty analysis, and model performance metrics.
- Experience with cross-functional collaboration, software engineering practices, version control, reproducible pipelines, and technical communication.
Nice to have
- Exposure to ADMET prediction tools and their integration into drug design cycles.
- Leadership or mentoring experience and a track record of influencing cross-functional scientific decisions.
Culture & Benefits
- Full-time Monday–Friday schedule, 8 a.m.–5 p.m., with overtime as needed.
- Medical, dental, and vision coverage.
- Life and disability insurance.
- 401(k) plan with company match.
- Paid vacation and holidays.
- Travel to other Eurofins facilities is required.
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