TetraScience · 3 months ago
Senior Scientific Data Engineer
TetraScience is a Scientific Data and AI company with a mission to radically improve and extend human life. As a Senior Scientific Data Engineer, you will lead the Scientific Data Engineering Team, architect solutions, and collaborate with various stakeholders to deliver high-quality data products.
BiotechnologyData IntegrationData ManagementInternet of ThingsLife SciencePharmaceuticalSoftware
Responsibilities
You will be leading the Scientific Data Engineering (SDE) Team and helping build Tetra Data and productizable solutions, which is the foundation of the Data Engineering layer
We are looking for a data engineer who is experienced, hands-on, and can also provide mentorship to junior team members
As a Senior Scientific Data Engineer, you should be comfortable leading internal design sessions and architecting solutions
You will work directly with Product Managers and Solution Architects to gather business and data design objectives, resulting in production-based solutions
As a Senior Scientific Data Engineer, you will be a team-focused leader, have excellent data engineering skills, supervise and collaborate on project executions, and have a high commitment to customer success by delivering mission-critical implementations
Work with Product Managers and Solution Architects 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 integration solutions that drive customer success
Use AI agents 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
Work closely with product managers, project managers, business analysts, data architects, and ML engineers to deliver best-in-class data products
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
Lead 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
Provide mentorship to junior SDEs and show leadership in every front
Qualification
Required
8+ years of building solutions as a Data Engineer or similar fields
8+ years working in Python and SQL with a focus on data
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.
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
Recent News
Research & Development World
2026-01-16
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