Senior Associate Scientist, Molecular Data

 Posted 5 days ago
     
 $120K - $182K per year
  
2-5 years experience
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AI Summary

Analyze and visualize data from computational discovery platforms to identify and prioritize hits for synthesis and testing. Collaborate with computational and assay teams to validate binding profiles and refine target-specific screening strategies.

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.

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