Software Engineer

Software Engineer- Biology Research ROCGJP

A leading biotechnology company is seeking a Software Engineer- Biology Research to join the Biology Research department. The successful candidate will develop software for our sequence-to-function models to deliver a high-quality Python package featuring robust test coverage, seamless installation, and a thoughtfully designed API. The ideal candidate is proficient in Python with substantial experience in software development, especially in developing maintainable and scalable codebases.

Software Engineer- Biology Research Pay and Benefits:
Hourly pay: $35-$45/hr
Worksite: Leading biotechnology company (South San Francisco, CA 94080 - Onsite, Open to remote candidates in the United States, Mutwork Pacific Time office hours, Candidates located in South San Francisco are preferred)
W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program
40 hours/week, 8 Month Assignment

Software Engineer- Biology Research Responsibilities:
Refactor and optimize the existing DNA foundation model codebase to ensure maintainability, readability, and scalability.
Develop and implement comprehensive testing strategies to achieve high test coverage.
Design and build a robust, user-friendly API for internal sequence-to-function modeling applications.
Integrate and implement new computational methods and modeling approaches as needed.
Fine tune sequence-to-function models as needed.

Software Engineer- Biology Research Qualifications:
5+ professional software engineering experience.
Proficiency in Python with substantial experience in software development, especially in developing maintainable and scalable codebases.
Demonstrated expertise with PyTorch.
Experience working with single-cell omics data and familiarity with established DNA/RNA sequence modeling frameworks (e.g., Enformer, Borzoi) and scverse ecosystem tools.
Self-motivated with excellent communication skills and enthusiasm for contributing to computational biology and software development efforts.
Strong track record of applying software engineering best practices, including version control (Git), comprehensive testing, modular design, and appropriate abstraction levels.