Tech Lead/Manager, Scientific Data Engineering

TetraScience • Cambridge, MA

1d

About The Position

TetraScience is a Scientific Data and AI company focused on improving and extending human life through its Scientific Data and AI Cloud. The company aims to accelerate scientific outcomes by designing and industrializing AI-native scientific data sets, which are then used in their lab data management products and AI-based solutions. TetraScience values transparency, trust, collaboration, fearlessness, resilience, customer alignment, commitment to craft, and equality of opportunity. They are seeking high-performance team members who embody these values.

Requirements

• 10+ years of building solutions as a Data Engineer or in 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 confidence to take control of project delivery.
• Ability to 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.
• Experience working with pre-clinical data and lab scientists.

Responsibilities

• Leading a team of Scientific Data Engineers (SDEs) in building Tetra Data and productizable solutions.
• Providing mentorship to junior team members.
• Managing engineering tasks, leading internal design sessions, implementing solutions, and driving projects to production releases.
• Collaborating with cross-functional teams (Product Managers, Scientific Business Analysts, Solution Architects) to gather business and data design objectives.
• Supervising and collaborating on project executions.
• Taking ownership of building data models, prototypes, and solutions that drive customer success.
• Using LLM to build comprehensive data schemas and parsers for pre-clinical data from various sources (lab instruments, manufacturing, CRO, CDMO, ELN, LIMS) and formats (.xlsx, .pdf, .txt, .raw, .fid, vendor binaries).
• Extracting reusable schema components and parsing functions, and productizing them into Python libraries.
• Building high-quality data pipelines with full unit and integration test coverage.
• Building data applications, reports, and dashboards using React, Streamlit, Jupyter notebook, etc.
• Driving value for customers by verifying solutions meet requirements.
• Acting as a quality gatekeeper, designing with quality backed by tests and utility functions.
• Promoting team-wide process/technology improvements for product quality and developer experience.
• Rallying the team to finish Agile Sprint commitments.
• Actively surfacing and resolving team inefficiencies.
• Resolving blockers and unclear requirements to ensure project progress.

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