TetraScience is looking to solve the problem of catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets and bringing them to life in next-gen lab data management solutions, scientific use cases, and AI-enabled outcomes.
Requirements
- Must have >5 years experience in Python and SQL
- Experience with data plotting dashboarding tools like Streamlit, Tableau, Jupyter Notebook is a plus
- Passionate about data problems and using AI and LLM to come up with creative ideas
Responsibilities
- Research data acquisition strategy for scientific lab instrumentation
- Research and productionize file parsers for instrument output files (.xlsx, .pdf, .txt, .raw, .fid, many other vendor binaries)
- Design and build data models and the corresponding data pipelines, unit tests, integration tests, and reusable utility functions
- Cross-analyze instrument data with the same instrument type or scientific workflow to design common data model components.
- Build visualization, report, and dashboards using Streamlit, Tableau, Jupyter notebook, etc.
- Drive value for the customers - test and make sure the solution fulfills their requirements and provides value
Other
- Must have a degree in biology or chemistry or relevant fields OR > 3 years of work experience in pharmaceutical or biotech industry in scientific data engineering, data modeling, or data analytics.
- 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
- Proactive problem-solving skills
- High-bandwidth: thrives when managing multiple simultaneous projects
- Intellectually curious: Unwavering drive to learn and know more every day
- Ability to think creatively about how to solve project risks without reducing quality
- Team player and ability to "roll up your sleeves" and do what it takes to make the team successful
- We are not currently providing visa sponsorship for this position
