Arbeitsbeschreibung - Team Lead, Scientific Data Workflow Automation, EMEA
Who We Are
TetraScience is the Scientific Data and AI Cloud 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.
TetraScience 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 TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom
In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective.
It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day.
What You Will Do
Be a leader in the Tetra Scientific Data Workflow Automation team, guiding field development as well as product direction to automate to automate lab workflows and unlock the value of scientific data
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, in various time zones (especially EMEA)
Learn, grow, and be challenged. You will speak up and represent your position amongst peers and leadership while remaining resilient and open to constructive feedback.
Mentor engineers towards leadership and grow the team's capabilities
What You Have Done
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
Benefits EU
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
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