Hybrid Tech Lead/Manager, Scientific Data Engineering

at TetraScience

• Job title: Tech Lead/Manager, Scientific Data Engineering
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Python, React, SQL
• Location requirements: Hybrid, Cambridge, United States

About the role

• Leading a team of Scientific Data Engineers at TetraScience. Building data solutions and collaborating across teams to drive customer success.

Responsibilities

• Manage a team of SDEs. Supervise 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 - verify the solution fulfills their requirements and provides value
• Quality gatekeeper: design 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. Have the pragmatic urgency to resolve blockers, unclear requirements, and make things happen.

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 manaing 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
• 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
• 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.

Benefits

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