Software Engineer II / Senior Engineer, Life Sciences Data Science
About The Position
Your Impact at Lila Join us in shaping the future of science! We are seeking a software engineer with a background in life sciences to join our data science team, where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. This role spans web services and data engineering, with a strong emphasis on Python development for scientific applications. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you! What You'll Be Building Participate in the entire software development life cycle, focusing on designing, implementing, and maintaining software services. Develop reusable code and libraries to improve efficiency and scalability. Align development with strategic goals, ensuring software supports broader organizational needs. Manage git repositories, team Jira board and Notion Hub, promote best practices, assist lab scientists with use of new tools, and foster a collaborative development culture. Work directly with scientists to identify gaps and unmet needs, develop tailored software solutions for data management, LIMS functionality, and data automation Support infrastructure as code and design efficient deployment strategies. Write clear, concise documentation for both engineers and end users.
Requirements
- Minimum of 2 years of experience writing software in a commercial setting.
- High-level proficiency in Python.
- Strong understanding of git best practices.
- Acute listening skills and patience to deeply understand user challenges.
- Experience implementing scalable software solutions.
- Excellent problem-solving skills and team-first mentality.
- Strong communication skills to effectively collaborate with team members and stakeholders.
- Energetic self-starter and independent thinker, with strong attention to detail.
- Eager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting.
Nice To Haves
- Background in biological sciences
- Familiarity with data science and ML libraries (pandas, numpy, scipy).
- Knowledge of modern developer tools (pydantic, pyright, uv).
- Understanding of Kubernetes, ArgoCD, and GitHub Actions.
- Familiarity with AWS fundamentals (e.g., RDS, EC2, S3, EKS).
Responsibilities
- Participate in the entire software development life cycle, focusing on designing, implementing, and maintaining software services.
- Develop reusable code and libraries to improve efficiency and scalability.
- Align development with strategic goals, ensuring software supports broader organizational needs.
- Manage git repositories, team Jira board and Notion Hub, promote best practices, assist lab scientists with use of new tools, and foster a collaborative development culture.
- Work directly with scientists to identify gaps and unmet needs, develop tailored software solutions for data management, LIMS functionality, and data automation
- Support infrastructure as code and design efficient deployment strategies.
- Write clear, concise documentation for both engineers and end users.
Benefits
- We offer competitive compensation including bonus potential and generous early equity.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
