SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 180,000 - 230,000 / annual
TetraScience is a Scientific Data and AI company building the world's only open, purpose-built, collaborative scientific data and AI cloud platform. The company combines deep scientific expertise with AI-native data infrastructure to accelerate scientific outcomes across pharma, biotech, and life sciences.
You will lead a team of Scientific Data Engineers (SDEs) building Tetra Data and productizable solutions that form the foundation of the data engineering layer. This is a hands-on manager role where you'll balance team leadership with direct technical contribution. You'll manage engineer performance and career growth, work cross-functionally with Product Managers, Scientific Business Analysts, and Solution Architects, and drive mission-critical implementations for customers.
Key responsibilities include:
- Managing a team of SDEs, supervising career growth and performance
- Gathering business requirements and building consensus-driven solutions with cross-functional teams
- Owning data model design, prototypes, and solutions that drive customer success
- Using LLMs to build comprehensive data schemas and parsers for pre-clinical data from lab instruments, manufacturing, CROs, CDMOs, ELNs, and LIMS systems (handling formats like .xlsx, .pdf, .txt, .raw, .fid, and vendor binaries)
- Extracting reusable schema components and parsing functions, productizing them into Python libraries
- Building high-quality data pipelines with full unit and integration test coverage
- Creating data applications, reports, and dashboards using React, Streamlit, Jupyter notebooks
- Verifying solutions fulfill customer requirements and deliver measurable value
- Acting as quality gatekeeper with design backed by comprehensive testing
- Promoting team-wide process and technology improvements
- Driving Agile Sprint commitments and resolving team inefficiencies
- Pragmatically resolving blockers and unclear requirements
The role emphasizes collaboration, transparency, trust, and commitment to craft. You'll have support from internal and external teams to achieve objectives.
Requirements:
- 10+ years building solutions as a Data Engineer or similar field
- 10+ years working in Python and SQL with a focus on data
- Experience managing engineering teams with five or more direct reports
- Experience leading projects, managing requirements, and handling timelines
- Experience managing multiple customer-focused implementation projects across cross-functional teams, building sustainable processes, and managing delivery milestones
- Excellent communication skills, attention to detail, and confidence in project delivery
- Ability to quickly understand highly technical products and communicate effectively with product management and engineering
- Strongly preferred: experience with data plotting and dashboarding tools like React and/or Streamlit
- Strongly preferred: experience working with pre-clinical data and lab scientists
