Lead and mentor a high-performing team of scientists and engineer-scientists focused on developing scientific technologies for multiple modalities with a focus on peptide and small molecule discovery.
Team deliverables include, but are not limited to, genAI design pipelines for peptide hit finding, ultra-large virtual screening workflows for small molecules, and end-user applications for molecule design and SAR analysis.
Define and execute a technical roadmap that advances our in-house informatics capabilities and chemistry-focused data analytics applications.
Ensure the team delivers robust and roll out-ready tools and platforms to computational non-experts to enable self-service analysis.
Provide hands-on technical guidance and review.
Act as cross-functional partner to IT, chemistry, screening, and other wet-lab and in silico discovery groups to align deliverables with research needs, prioritize work, and translate scientific requirements into reliable tools.
Encourage a culture of scientific rigor, accountability, integrity, collaborative problem solving, and continual learning.
Manage and mentor junior scientists fostering their development as leading discovery informatics scientists.

Requirements

Advanced degree (PhD preferred) in Computational Chemistry, Cheminformatics, Bioinformatics, Biophysics, Computer Science with strong domain experience, or related field.
8+ years of relevant industry experience in cheminformatics or related scientific technology roles
Extensive hands-on experience in life science informatics working with large-scale data aggregation, manipulation, integration, mining, and analysis, including structured and unstructured data sources.
Excellent coding ability (preferably python) plus expertise in databases (e.g., PostGres, Snowflake) and ETL frameworks.
Solid understanding of drug discovery workflows — chemistry, screening, assay technologies, and common experimental data issues and artifacts.
Demonstrated ability to ideate, implement, and deliver informatics solutions with measurable impact on portfolio projects.
Proven track record of partnering cross-functionally with chemists, biologists, screening teams, other in silico scientists and IT to deliver impactful tools and analyses.
Excellent communication skills, ability to explain technical trade-offs to scientific and non-technical stakeholders.
Strong commitment to integrity, accountability, and talent development.
High creativity, curiosity and willingness to continuously learn and adapt in a constantly changing digital landscape.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

computational chemistrycheminformaticsbioinformaticsbiophysicscomputer sciencedata aggregationdata manipulationdata integrationdata miningpython

Soft Skills

leadershipmentoringcollaborative problem solvingcommunicationintegrityaccountabilitycreativitycuriosityadaptabilityscientific rigor

Certifications

PhD in Computational ChemistryPhD in CheminformaticsPhD in BioinformaticsPhD in BiophysicsPhD in Computer Science