Senior Software Engineer, R&D Informatics

Terray Therapeutics, Inc.
Location
Monrovia, CA
Job Type
Full-time
Posted
October 28, 2026
Salary Range
$170k - $260k USD

Job Description

Position Summary: Terray Therapeutics is seeking a motivated and experienced Senior Software Engineer to join the R&D Informatics team within Terray’s Computational and Data Science organization. The candidate will be responsible for developing and maintaining backend systems, data pipelines, and user interfaces that power our wet-lab and computational discovery platforms.

The core responsibilities of this position are

  • Design and implement new internal applications to help our wet-lab and computational scientists analyze vast amounts of data
  • Integrate commercial ELN/LIMS applications with our internal informatics platform
  • Maintain and contribute to the Terray codebase across multiple platforms (data science, computational chemistry, machine learning, etc.)
  • Work with both wet-lab and computational scientists to design and develop connections to our informatics systems API and database
  • Write unit and integration tests, assist with documentation, and participate in code review process

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

  • Degree in Computer Science or related field (or equivalent experience)
  • Highly proficient in Python and the PyData stack (numpy, pandas, scipy, scikit-learn, etc.)
  • Proficiency in Linux environment, experience with database languages, and experience with version control practices and tools
  • Familiar with AWS cloud resources
  • Demonstrated ability to write high-quality, production-ready code
  • Knowledge of coding best practices, including standards, reviews, version control, and unit testing
  • Knowledge of API design
  • Experience with building data-focused dashboards and user interfaces

Preferred Qualifications

  • Previous scientific and/or research informatics experience in the small molecule drug discovery/biotechnology industry
  • Experience using LLM coding agents such as Claude Code or Cursor
  • Experience building user interfaces using TypeScript and frameworks such as ReactJS and Vue.js

Compensation Details: $170,000–$260,000 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, 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.

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.

Frequently Asked Questions

Where is this role located, and what is the work policy?
This role is located in Monrovia, CA. The posting does not specify a remote or hybrid work policy, though it notes a hands-on work environment.
What are the primary responsibilities of this position?
You will design internal applications for scientists, integrate ELN/LIMS applications with the internal informatics platform, maintain the Terray codebase across multiple platforms, build API and database connections, write unit/integration tests, assist with documentation, and participate in code reviews.
What qualifications do I need to apply?
You need a degree in Computer Science or a related field (or equivalent experience), strong Python/PyData stack proficiency, Linux and database experience, version control skills, AWS familiarity, high-quality code writing ability, and experience designing APIs and data-focused user interfaces.
What is the offered salary range for this role?
The base salary range is $170,000–$260,000 annually, depending on experience. It is benchmarked against market base salary plus bonus within the industry.
What benefits does Terray Therapeutics offer?
Benefits include stock options, a 3% retirement safe harbor contribution, fully paid health, dental, and vision insurance for employees and families, as well as above-market life insurance and disability coverage.

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Job Information

Source: manual
AI Relevance: 75/100 (Relevant)
Remote Type: onsite
Skills & Tags:
terray therapeutics, inc. machine learning artificial intelligence drug discovery data science immunology LLM

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