Offer summary

Qualifications:

Bachelor's degree in biology, chemistry, or related fields or equivalent industry experience., Over 3 years of experience in Python and SQL for scientific data engineering., Experience with data visualization tools like Streamlit, Tableau, or Jupyter Notebook is a plus., Strong problem-solving skills and ability to communicate effectively with technical teams..

Key responsibilities:

Research and develop data acquisition strategies for scientific lab instruments.

Create and productionize file parsers for various instrument output formats.

Design data models and build data pipelines with testing and utility functions.

Develop visualizations, reports, and dashboards to deliver value to customers.

Who We Are

TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AInative scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AIenabled outcomes.

TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. 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 coinnovation and gotomarket 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 cofounder 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

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
Crossanalyze 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

Requirements
What You Have Done

Must have >3 years of experience in Python and SQL
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.
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
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 problemsolving skills
Highbandwidth: 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

Benefits

Competitive Salary and equity in a fastgrowing company.
Supportive, teamoriented culture of continuous improvement.
Generous paid time off (PTO).
Flexible working arrangements Remote work.

We are not currently providing visa sponsorship for this position