TetraScience is looking for a Scientific Data Engineer to acquire, model, and visualize data from scientific lab instrumentation. In this role, you will be directly responsible for delivering actionable data insights and solutions that drive significant value for our customers.
What You'll Do
- Research and implement data acquisition strategies for scientific lab instrumentation.
- Research and productionize file parsers for instrument output files, including formats like .xlsx, .pdf, .txt, .raw, .fid, and other vendor binaries.
- Design and build data models, along with the corresponding data pipelines, unit tests, integration tests, and reusable utility functions.
- Cross-analyze instrument data from the same instrument type or scientific workflow to design common data model components.
- Build visualizations, reports, and dashboards using tools like Streamlit, Tableau, and Jupyter Notebook.
- Drive customer value by testing and ensuring the solution fulfills their requirements.
What We're Looking For
- Must have more than 5 years of experience in Python and SQL.
- Must have a degree in biology, chemistry, or a relevant field OR more than 3 years of work experience in the pharmaceutical or biotech industry in scientific data engineering, data modeling, or data analytics.
Nice to Have
- Experience with data plotting and dashboarding tools like Streamlit, Tableau, or Jupyter Notebook.
- Passionate about data problems and using AI and LLMs to develop creative solutions.
Technical Stack
- Python
- SQL
- Streamlit
- Tableau
- Jupyter Notebook
Benefits & Compensation
- 100% employer-paid benefits for all eligible employees and immediate family members.
- Unlimited paid time off (PTO).
- 401K plan.
- Flexible working arrangements with remote work.
- Company-paid Life Insurance and LTD/STD.
- A culture of continuous improvement where you can grow your career and receive coaching.
Work Mode
This role offers a global and fully remote work mode.
TetraScience is an equal opportunity employer.
