Lila Sciences is seeking a data scientist to build cutting-edge tools for automated scientific analysis, aiming to solve humankind's greatest challenges in human health, climate, and sustainability at an unprecedented pace and scale.
Requirements
- Minimum of 5 years of experience writing tools and workflows in a life sciences setting.
- High-level proficiency in Python.
- Strong understanding of git best practices.
- Experience implementing scalable software solutions.
- Experience with workflow orchestration software (e.g., Temporal, Dagster, Prefect).
- Hands-on experience with ORMs and web services (SQLModel, FastAPI, Django).
- Familiarity with data science and ML libraries (pandas, numpy, scipy).
Responsibilities
- Work with scientists to develop tools for lab data.
- Develop reusable code and libraries to improve efficiency and scalability.
- Participate in the entire software development life cycle, focusing on designing, implementing, and maintaining software services.
- Manage git repositories, enforce best practices, and foster a collaborative development culture.
- Work directly with scientists and ML stakeholders to identify gaps and unmet needs, and develop tailored software solutions for data analysis, LIMS functionality, and data automation.
- Support infrastructure as code and design efficient deployment strategies.
- Write clear, concise documentation for both engineers and end users.
Other
- Acute listening skills and patience to deeply understand user challenges.
- 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.
