Tech Lead/Manager, Scientific Data Engineering

TetraScience • Cambridge, MA

2d • $180,000 - $230,000

About The Position

TetraScience is a Scientific Data and AI company focused on improving and extending human life. They offer a unique scientific data and AI cloud combined with deep scientific expertise to accelerate scientific outcomes. TetraScience is driving the Scientific AI revolution by creating AI-native scientific data sets and developing next-generation lab data management products and AI-based solutions. The company operates with core values of Transparency and Context, Trust and Collaboration, Fearlessness and Resilience, Alignment with Customers, Commitment to Craft, and Equality of Opportunity. This role involves leading a team of Scientific Data Engineers (SDEs) to build the Tetra Data platform and productizable solutions. The ideal candidate is an experienced, hands-on data engineering leader who can mentor junior team members, manage engineering tasks, lead design sessions, implement solutions, and drive projects to production. Collaboration with cross-functional teams such as Product Managers, Scientific Business Analysts, and Solution Architects is key to gathering business and data design objectives for production-based solutions. The role requires a team-focused leader with excellent data engineering skills, the ability to supervise and collaborate on project execution, and a strong commitment to customer success through mission-critical implementations.

Requirements

• 10+ years of building solutions as a Data Engineer or similar fields.
• 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 the confidence to take control of project delivery.
• Quickly understand a highly technical product and effectively communicate with product management and engineering.

Nice To Haves

• Experience with data plotting dashboarding tools like React and/or Streamlit is strongly preferred.
• Experience working with pre-clinical data and lab scientists is strongly preferred.

Responsibilities

• Manage a team of SDEs, supervising their career growth and performance.
• Work with cross-functional teams to understand business requirements, gather insight into potential positive outcomes, recommend potential outcomes, and build a solution based on consensus.
• Take ownership of building data models, prototypes, and solutions that drive customer success.
• Use LLM to build comprehensive data schemas and parsers for pre-clinical data (main data sources: R&D lab instruments, manufacturing, CRO, CDMO, ELN, LIMS) with various data formats: .xlsx, .pdf, .txt, .raw, .fid, many other vendor binaries.
• Extract reusable schema components and parsing functions, and productize them into Python libraries.
• Build high-quality data pipelines with full unit test and integration test coverage to produce high-fidelity data.
• Build data applications, reports, and dashboards using React, Streamlit, Jupyter notebook, etc.
• Drive value for the customers by verifying the solution fulfills their requirements and provides value.
• Act as a quality gatekeeper, designing with quality backed by unit tests, integration tests, and utility functions.
• Promote team-wide process/technology improvements on product quality and developer experience.
• Rally the team to finish Agile Sprint commitments, actively surfacing team inefficiencies and striving to resolve them.
• Driven by results, with the pragmatic urgency to resolve blockers, unclear requirements, and make things happen.

Benefits

• 100% employer paid benefits for all eligible employees and immediate family members.
• 401K.
• Unlimited paid time off (PTO).
• Company paid Life Insurance, LTD/STD.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed