TetraScience

Tech Lead/Manager, Scientific Data Engineering

TetraScience

full-time

Posted on:

Location Type: Hybrid

Location: Cambridge • Massachusetts • United States

Visit company website

Explore more

✨ AI Apply
Apply

Job Level

Senior

Tech Stack

PythonReactSQL

About the role

  • - 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonSQLdata modelingdata pipelinesunit testingintegration testingdata parsingdata applicationsdata visualizationAgile methodology
Soft Skills
team managementcommunicationattention to detailproblem-solvingleadershipcollaborationcustomer focusproject managementresults-drivenprocess improvement