Senior Associate Scientist, Molecular Data

About the role

Terray Therapeutics is a venture-backed biotechnology company where scientists and engineers build together to transform how small-molecule drugs are discovered and developed. By combining nanotechnology, experimental science, machine learning, and automation, Terray leverages its ability to generate and learn from scale proprietary chemical data to discover novel medicines. At Terray, you will work alongside pioneers and experts in artificial intelligence, chemistry, drug discovery, automation, and nanotechnology in deeply interconnected workflows where computational and experimental teams continuously learn from one another. The platform, EMMI (Experimentation Meets Machine Intelligence), powers iterative cycles of molecular design and wet-lab experimentation that rapidly improve understanding of biochemical interactions and guide the next generation of discoveries. Teams support both an internal immunology pipeline and partnerships across a broad range of therapeutic areas. The work is highly collaborative, fast-moving, and grounded in the belief that breakthroughs happen when strong science, thoughtful technology, and great people work closely together.

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.

Pay

$120,000 – $182,000 annually, depending on experience. Terray’s salary ranges are designed to be competitive and are benchmarked against market base salary plus bonus within our industry and market. Pay is aligned to role scope, skill level, and impact.

Benefits

• Participation in the Company’s stock option plan.
• 3% retirement safe harbor contribution.
• Fully paid health, dental, and vision insurance for employees, spouse, partner, and families.
• Above-market life insurance and disability coverage.