Computational Chemist

This is a fully remote position, open to applicants in Missouri.

📋 Description

• Serve as the subject matter expert in Computational Chemistry for nonclinical research and development;

• Independently initiate research projects, implement innovative computational workflows, and assist a dynamic multi-disciplinary team in advancing projects from hit identification to clinical candidate discovery;

• Contribute to the creation, implementation, and application of cutting-edge computational software, computer-aided drug design, and simulation techniques to facilitate in silico drug discovery efforts;

• Responsible for the analysis, interpretation, integration, and reporting of research informatics data generated by internal teams and external clients;

• Collaborate with and support the medicinal chemistry team during lead optimization activities, including the docking and scoring of molecules derived from rational drug design;

• Develop or apply new tools or data-mining techniques for integrative analysis and visualization of large datasets;

• Engage in data governance initiatives by closely collaborating with IT and laboratory teams;

• Ensure transparency and maintain regular communication about project status, potential execution roadblocks, and new strategies with Drug Discovery Chemistry leadership;

• Assume accountability and responsibility for meeting client needs and timelines;

• Provide cross-functional support to other departments as necessary;

⛳️ Requirements

• A proven track record of making impactful contributions to drug discovery projects (e.g., involvement in lead identification/optimization, advancement of compounds into development);

• Strong grasp of medicinal chemistry principles and the capability to convert computational insights into actionable design hypotheses;

• Experience with ligand-based design methodologies (e.g., QSAR, similarity searching, conformational analysis);

• Knowledge of free energy methods (e.g., FEP, MM-GBSA) along with their practical applications and limitations;

• Proficient in handling and curating extensive chemical and biological datasets (data quality, standardization, reproducibility);

• Familiarity with contemporary AI/ML techniques in drug discovery (e.g., deep learning, generative models) and their appropriate applications;

• Capability to design, validate, and benchmark computational workflows beyond merely applying existing protocols;

• Strong statistical reasoning and understanding of uncertainty, validation strategies, and model performance metrics;

• Experience working within cross-functional teams (medicinal chemistry, biology, DMPK) and effectively communicating results to non-experts;

• Good software engineering practices (version control, reproducible pipelines, documentation);

• Exposure to ADMET prediction tools and their integration into design cycles;

• Ability to critically evaluate experimental data (SAR, assay variability) and incorporate it into modeling efforts;

• Leadership or mentoring experience;

• Strategic thinking in selecting and deploying computational, AI & ML methodologies aligned with project objectives;

• Demonstrated ability to successfully influence cross-functionally and be recognized as a technical expert within the computational sciences applied to drug development;

• Willingness to travel to other Eurofins facilities as required;

🏝️ Benefits

• Excellent full-time benefits including comprehensive medical coverage;

• Dental;

• Vision options;

• Life and disability insurance;

• 401(k) with company match;

• Paid vacation and holidays;