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Terray Therapeutics

Terray Therapeutics

via Rippling

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Copy of Software Engineer, Molecular Data

Anywhere
full-time
Posted 10/10/2025
Direct Apply
Key Skills:
Python
PyData stack (numpy, pandas, scipy, scikit-learn)
Linux
Database schema design
AWS Batch
Docker
CI/CD
Agile
Version control
Unit testing

Compensation

Salary Range

$140K - 216K a year

Responsibilities

Develop, deploy, and maintain data pipelines, workflows, and tooling to support computational and wet-lab drug discovery platforms.

Requirements

BS/MS/PhD in CS or related field, proficiency in Python and PyData stack, Linux and database experience, AWS Batch familiarity, CI/CD and Docker knowledge, and ability to write production-ready code.

Full Description

Position Summary: Terray is currently seeking a motivated, creative, and experienced software engineer. As an integral member of our Computational and Data Sciences (CDS) team, the candidate will be responsible for developing, deploying, and maintaining the data pipelines, workflows, and tooling that power our wet-lab and computational discovery platforms. The core responsibilities of this position are: Build, maintain, and improve statistical data pipelines for our computational platform, including hit identification done on our platform, assignment and progression of compounds through off-platform biochemical and cellular assays, and other downstream processes to support pipeline progression Design, develop, and deploy database schemas, software tools, and algorithms that will enable and improve our computational and wet lab workflows to support our drug development pipelines 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/PhD in Computer Science or related field Highly proficient in Python and the PyData stack (numpy, pandas, scipy, scikit-learn, etc.) Proficiency in Linux environment, experience with database languages Familiar with AWS cloud resources and services like Batch Experience with designing and building out database schemas Demonstrated ability to write high-quality, production-ready code Understanding of CI/CD and Agile software engineering practices and experience with container build and deployment systems like Docker Knowledge of coding best practices, including standards, reviews, version control, and unit testing Preferred Qualifications: Experience with turning statistical and/or machine learning algorithms into performant production code Familiarity with a frontend framework (ex: React, Vue) and prototyping tools (Streamlit) Familiarity with wet-lab procedures and/or has experience interacting with wet-lab scientists to scope and build software tools Natural leader with ability to guide system design and effective documentation Compensation Details: $140,000 - $216,000 (annually) depending on seniority; participation in the Company's option plan; 3% retirement safe harbor contribution; fully-paid medical, dental, vision, life and disability benefits.

This job posting was last updated on 10/11/2025

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