Team Lead, Scientific Data Workflow Automation, EMEA
Listed on 2025-12-30
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IT/Tech
AI Engineer, Data Science Manager
Team Lead, Scientific Data Workflow Automation, EMEA
2 days ago Be among the first 25 applicants
Who We AreTetra Science is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI‑native scientific data sets, which we bring to life in a growing suite of next‑gen lab data management solutions, scientific use cases, and AI‑enabled outcomes.
Tetra Science is the category leader in this vital new market. In the last year alone, the world's dominant players in compute, cloud, data, and AI infrastructure have converged on Tetra Science as the de‑facto standard, entering into co‑innovation and go‑to‑market partnerships:
Latest News and Announcements | Tetra Science Newsroom.
In connection with your candidacy, you will be asked to review the Tetra Way letter, authored by Patrick Grady, our co‑founder and CEO. This letter is designed to help you understand whether Tetra Science is the right fit from a values and ethos perspective. It is important to reflect on whether you align with our unique approach to company and team building.
If you join us, you will be expected to embody its contents each day.
- Lead the Scientific Data Workflow Automation team, guiding field development and product direction to automate lab workflows and unlock the value of scientific data
- Coordinate deployments of engineers rapidly delivering scientific workflow automation using Tetra products
- Support pre‑sales in designing and scoping technical projects
- Run the agile development process: standups, planning, refinement, and delivery meetings
- Manage people and projects, identify and clear blockers, and keep the team moving at full velocity and accelerating
- Drive successful delivery by enabling engineers to focus on tech while leading coordination, prioritization, and stakeholder alignment
- Deliver complex, high‑quality client projects quickly
- Provide product feedback and help engineers turn projects into core product improvements
- Self‑start and make progress in the face of ambiguity and conflicting requirements
- Work with a geographically dispersed team across various time zones (especially EMEA)
- Learn, grow, and be challenged; speak up and represent your position among peers and leadership while remaining resilient and open to constructive feedback
- Mentor engineers toward leadership and grow the team's capabilities
- 8+ years of experience in Python with a focus on data
- 3+ years of experience in Life Sciences or with scientific data
- 3+ years of experience managing multiple simultaneous projects
- Experience leading and coordinating teams of engineers across diverse projects
- Experience estimating complex software projects and being accountable for delivery
- Expertise in SQL, RDS, and associated technologies
- Excellent communication skills, including technical writing
- Experience with data plotting/dashboarding tools like Streamlit, Tableau, Jupyter Notebook is a plus
- Experience with cloud infrastructure providers like AWS, Azure, or GCP is a plus
- Competitive salary and equity in a fast‑growing company
- Supportive, team‑oriented culture of continuous improvement
- Generous paid time off (PTO)
- Flexible working arrangements – remote work
We are not currently providing visa sponsorship for this position.
Seniority levelMid‑Senior level
Employment typeFull‑time
Job functionIT Services and IT Consulting
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