Company Overview: 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 our nanotechnology, experimental science, machine learning, and automation, we leverage Terray’s ability to generate and learn from scale proprietary chemical data to discover novel medicines for patients in need.
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. Our platform, EMMI (Experimentation Meets Machine Intelligence), powers iterative cycles of molecular design and wet-lab experimentation that rapidly improve our understanding of biochemical interactions and guide the next generation of discoveries.
Our teams support both an internal immunology pipeline and partnerships across a broad range of therapeutic areas. The work here is highly collaborative, fast-moving, and grounded in the belief that breakthroughs happen when strong science, thoughtful technology, and great people work closely together.
Position Summary: Terray is currently seeking a motivated and creative senior associate data scientist. As an integral member of our Computational and Data Sciences (CDS) team, the candidate will be responsible for analyzing and visualizing data from our computational discovery platforms.
The core responsibilities of this position are:
- 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
Experience and Qualifications: Part of Terray's success is nurtured by a hands-on work environment where everyone is accountable, vested in a vision of excellence, and actively taking part in the success of the business. Terray supports a positive work environment where employees can feel engaged, recognized, and empowered to be creative.
Required Qualifications:
- BS/MS in Cheminformatics, 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
- Working knowledge of Python for scientific data analysis, automation, and workflow support, including experience with libraries such as pandas, numpy, scipy, and matplotlib
- Strong expertise in SQL, including building and querying custom tables for internal workflows
- Strong problem-solving and data analysis skills with the ability to communicate scientific insights effectively
- Experience working with large, real-world scientific or laboratory datasets
- Familiarity with Linux environments and version control tools (e.g., Git)
Preferred Qualifications:
- Exposure to machine learning methods such as clustering, regression, or pattern recognition is a plus
- Exposure to cheminformatics or scientific software tools (e.g., RDKit, Spotfire, MOE, Schrodinger) is a plus
Compensation Details: $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. We align pay to role scope, skill level, and impact.
We invest heavily in benefits because taking care of our people matters. Our programs are benchmarked at the top of the Southern California market and designed to provide meaningful support across every stage of life. Benefits include participation in the Company’s stock option plan, a 3% retirement safe harbor contribution, fully paid health, dental, and vision insurance for our employees, spouse, partner, and families, as well as above-market life insurance, disability coverage, and much more to explore during the offer process.
Skills Required
- BS/MS in Cheminformatics, Computational Chemistry, data science, or related
- Understanding of chemical structures and molecular properties
- Working knowledge of Python for scientific data analysis
- Strong expertise in SQL for building and querying custom tables
- Experience with large scientific or laboratory datasets
Terray Therapeutics Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Terray Therapeutics and has not been reviewed or approved by Terray Therapeutics.
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Fair & Transparent Compensation — Pay is considered competitive for a startup and compares favorably to both tech and biopharma peers. Feedback suggests total rewards, including cash and equity, are often viewed as strong relative to market.
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Healthcare Strength — Health coverage is employer-paid and described as comprehensive, with company-funded HSAs and supplemental mental‑health support. Feedback suggests these elements meaningfully bolster total compensation.
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Parental & Family Support — Parental leave is fully paid with the company making employees whole regardless of state program coverage. Feedback suggests this policy is a notable strength versus many startup peers.
Terray Therapeutics Insights
What We Do
Chemistry is the key to drug discovery, but chemical data is stuck in the twentieth century. We’re generating precise chemical datasets purpose-built to propel drug discovery into the information age — and we’re doing it on a larger scale and faster than has ever before been possible. Terray Therapeutics is a biotechnology company led by pioneers and long-time leaders in artificial intelligence, synthetic (medicinal) chemistry, biology and preclinical development, automation, and nanotechnology. Chemical datasets generated using our novel ultra-dense microarray technology work seamlessly with our integrated machine learning and computational platform to systematically map biochemical interactions between small molecules and causes of disease. Iterative cycles of virtual molecular design and experimentation power AI and machine learning models, which in turn guide the next cycle of design. With a chemistry engine that measures billions of interactions daily and becomes increasingly precise with every cycle, we can answer an unprecedented array of questions — deriving insights that enable us to predictably create drugs for patients in need.
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