TetraScience · 7 hours ago
Tech Lead/Manager, Scientific Data Engineering
Cambridge, MA
Full-time
Hybrid
Senior Level, Lead/Staff
10+ years expTetraScience is a Scientific Data and AI company with a mission to radically improve and extend human life. They are seeking a Tech Lead/Manager for their Scientific Data Engineering team to lead data engineering efforts, manage a team, and collaborate with cross-functional teams to build effective data solutions.
BiotechnologyData IntegrationData ManagementInternet of ThingsLife SciencePharmaceuticalSoftware
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
Qualification
Required
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
Preferred
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
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.
Company
TetraScience
TetraScience is an R&D cloud data management company that empowers transformation in life sciences and drug discovery.
201-500 employees
H1B Sponsorship
TetraScience has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2023 (3)
2022 (2)
2021 (1)
2020 (3)
Funding
Current Stage
Growth StageTotal Funding
$99.14MKey Investors
Underscore VCWatersDigital Science
2021-04-15Series B· $80M
2020-05-01Series A· $11M
2019-10-31Series A· $8M
Leadership Team
Patrick Grady
CEO
Siping Wang
President & CTO
Recent News
Research & Development World
2026-01-16
Company data provided by crunchbase