What You Will Do
Translate scientific data workflows into a solution leveraging the Tetra Data Platform
Own, scope, prototype, and implement solutions ranging from:
Programmatically interrogate proprietary instrument output file
Data structure design using JSON schemas
Python-based parser development
Lab software (e.g. ELN/LIMS) integration via APIs
Data visualization in Python (using frameworks like Jupyter Notebooks or Streamlit and plotting tools like hvplot or bokeh) and/or BI tools (like Tableau, Spotfire, PowerBI)
Interview customers to understand key scientific and business requirements
Work with customers to test and ensure a solution fulfills their requirements and solves their need
Real-time problem solving by quickly internalizing customer needs or feedback, synthesizing the results, and proposing solutions
Proactively communicate implementation progress and deliver demos to customer stakeholders
Lead sprint-planning and prioritization for your use case or account
Facilitate internal project retrospective meetings and identify areas of improvement or productizable components
Assist product team to build and prioritize roadmap by understanding customers’ pain points within and outside Tetra Data Platform
Requirements
5 years leveraging Python for scripting, automation, data analysis, data engineering, and/or data science
3 years in life sciences, whether at the bench in Biopharma, bioinformatics, or in the vendor space
Ability to quickly understand a highly technical product and effectively communicate with product management and engineering
Passionate about science and building solutions to make data more accessible to end-users
Intellectually curious: unwavering drive to learn more every day
Intellectually resilient: able to overcome setbacks and find alternate solutions
Excellent communications skills, attention to detail, and the confidence to take control of project delivery
Team player and ability to “roll up your sleeves” and do what it takes to make the team successful
Nice to have: hand on experience working leveraging cloud technologies (AWS, Azure, GCP) for solution design and architecture
Benefits
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.