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Software Engineer II / Senior Engineer, Life Sciences Data Science

Lila SciencesCambridge, MA USA
On-site Full-time $120K/yr - $192K/yr

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Experience Level

Experience

Qualifications

To excel in this role, candidates should possess the following: Minimum of 2 years of software development experience in a commercial setting. Proficiency in Python programming language. Strong knowledge of git best practices and version control. Excellent listening skills and the ability to empathize with user challenges. Experience in developing scalable software solutions. Strong analytical and problem-solving skills with a team-first mentality. Effective communication skills for collaboration with team members and stakeholders. Self-motivated with independent thinking capabilities and a detail-oriented approach. Enthusiasm for working in dynamic teams within a fast-paced, technical environment.

About the job

Your Contribution at Lila Sciences

Be a part of innovating the scientific landscape! We are on the lookout for a talented software engineer with a background in life sciences to enhance our data science team. In this role, you will collaborate closely with software engineers, laboratory scientists, and machine learning engineers to develop state-of-the-art tools for automated scientific analysis and beyond. Your expertise in web services and data engineering, particularly in Python development for scientific applications, will be crucial. If you excel in a collaborative and fast-paced environment while adhering to best practices in git, development workflows, and user-centered design, we encourage you to apply!

Your Responsibilities

  • Engage in the complete software development life cycle, concentrating on the design, implementation, and maintenance of software services.
  • Create reusable code and libraries to enhance efficiency and scalability.
  • Ensure development aligns with strategic objectives, facilitating software that meets broader organizational requirements.
  • Oversee git repositories, manage the team’s Jira board and Notion Hub, advocate for best practices, assist laboratory scientists in utilizing new tools, and cultivate a collaborative development culture.
  • Collaborate directly with scientists to identify gaps and unmet needs, crafting customized software solutions for data management, LIMS functionality, and data automation.
  • Advocate for infrastructure as code and devise efficient deployment strategies.
  • Produce clear, concise documentation for both engineering teams and end users.

Required Qualifications

  • A minimum of 2 years of experience in software development within a commercial environment.
  • High proficiency in Python programming.
  • Solid understanding of git best practices.
  • Strong listening skills and the patience to thoroughly understand user challenges.
  • Experience in implementing scalable software solutions.
  • Exceptional problem-solving abilities and a team-oriented mindset.
  • Excellent communication skills for effective collaboration with team members and stakeholders.
  • A proactive self-starter with independent thinking capabilities and keen attention to detail.
  • Desire to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial technical setting.

Preferred Qualifications

  • A background in biological sciences.
  • Familiarity with data science and machine learning libraries (e.g., pandas, numpy, scipy).
  • Knowledge of modern developer tools (e.g., pydantic, pyright, uv).
  • Understanding of Kubernetes, ArgoCD, and GitHub Actions.

About Lila Sciences

Lila Sciences is dedicated to pioneering innovations in life sciences through advanced data science and technology. Our team is committed to developing transformative tools that enhance scientific research and analysis.

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