Software Engineer II/Senior Engineer, Life Sciences Data Science (AI Engineering)

TL;DR

Software Engineer II/Senior Engineer (AI Engineering): Collaborating with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and web services with an accent on Python development for scientific applications. Focus on developing tailored software solutions for data management, LIMS functionality, and data automation.

Location: Must be based in Cambridge, MA, USA

Salary: $120,000 - $192,000 USD

Company

hirify.global is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.

What you will do

• 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.

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.
• Strong communication skills to effectively collaborate with team members and stakeholders.

Nice to have

• 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).

Culture & Benefits

• Competitive compensation including bonus potential and generous early equity.
• Committed to equal employment opportunity.
• Fast-paced, entrepreneurial, and technical setting.