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.
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