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.
Tech Stack
ETL
Postgres
Python
Benefits
medical
dental
vision
life insurance
short
and long-term disability
business accident insurance
group legal insurance
consolidated retirement plan (pension)
savings plan (401(k))
Vacation – up to 120 hours per calendar year
Sick time
up to 40 hours per calendar year
Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time