Hybrid Scientific Data Engineer

Posted last month

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About the role

  • Scientific Data Engineer at TetraScience developing data solutions for lab instrumentation. Building data pipelines and visualizations while collaborating with cross-functional teams to drive customer value.

Responsibilities

  • **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
  • 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

Requirements

  • **What You Have Done**
  • Must have >5 years 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 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

Benefits

  • 100% employer-paid benefits for all eligible employees and immediate family members
  • Unlimited paid time off (PTO)
  • 401K
  • Flexible working arrangements - Remote work
  • Company paid Life Insurance, LTD/STD
  • A culture of continuous improvement where you can grow your career and get coaching
  • We are not currently providing visa sponsorship for this position

Job title

Scientific Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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