Senior Associate Scientist, Molecular Data

Responsibilities

• Collaborate with project teams in applying platform tools to identify and prioritize hits for follow-up synthesis, testing, and pipeline progression
• Work closely with computational and assay teams to perform hit validation analyses to evaluate how tArray platform binding profiles translate to off-platform assays
• Partner with screening teams to develop and refine target-specific screening strategies

Requirements

• BS/MS in Cheminformatics, Pharmaceutical Chemistry, Medicinal Chemistry, Computational Chemistry, data science or a related scientific discipline with a strong interest in programming and data-driven research
• Understanding of chemical structures, molecular properties, and compound profiling in the context of high-throughput screening and hit identification
• Experience with cheminformatics or scientific software tools (e.g., RDKit, Spotfire)
• Strong problem-solving and data analysis skills with the ability to communicate scientific insights effectively
• Working knowledge of Python for scientific data analysis, automation and workflow support including experience with libraries such as pandas, numpy, scipy and matplotlib
• Knowledge of SQL for querying custom tables for internal workflows
• Familiarity with Linux environments and version control tools (e.g., Git)
• Exposure to machine learning methods such as clustering, regression, or pattern recognition is a plus

Qualifications

• BS/MS in Cheminformatics, Pharmaceutical Chemistry, Medicinal Chemistry, Computational Chemistry, data science or a related scientific discipline with a strong interest in programming and data-driven research

Skills

• Cheminformatics or scientific software tools (e.g., RDKit, Spotfire)
• Python for scientific data analysis, automation and workflow support including experience with libraries such as pandas, numpy, scipy and matplotlib
• SQL for querying custom tables for internal workflows
• Linux environments and version control tools (e.g., Git)
• Machine learning methods such as clustering, regression, or pattern recognition

Benefits

• Participation in the Company’s stock option plan
• A 3% retirement safe harbor contribution
• Comprehensive health, dental, and vision insurance for employees, spouses, partners, and families
• Above-market life insurance
• Disability coverage

Pay

$120,000 – $182,000 annually, depending on experience.

Schedule

Full time