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Scientific Data Engineer
Posted on 11/14/2022
INACTIVE
Locations
Remote
Experience Level
Entry
Junior
Mid
Senior
Expert
Requirements
  • 5+ years in Python and SQL
  • Passionate about science and building solutions to make the data more accessible to the end-users
  • Elasticsearch, science background, or experience with scientific instruments
  • Experience with tools like Spotfire, Tableau, Jupyter notebook (any of them)
  • Undergraduate or graduate degree in chemistry, biology, computer science, statistics, public health, etc
  • Excellent communications skills, attention to details, and the confidence to take control of project delivery
  • Quickly understand a highly technical product and effectively communicate with product management and engineering
  • Strong project, account management, and 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 on how to solve projects risks without reducing quality
  • Team player and ability to "roll up your sleeves" and do what it takes to make the team successful
Responsibilities
  • Own, prototype, and implement customer solutions
  • Research and prototype data acquisition strategy for scientific lab instrumentation
  • Research and prototype file parsers for instrument output files (.xlsx, .pdf, .txt, .raw, .fid, many other vendor binaries)
  • Design and build data models
  • Design and build Python data pipelines, unit tests, integration tests, and utility functions
  • Build visualization, report, and dashboards using Spotfire, Tableau, Jupyter notebook and etc
  • Work with the customer to test and make sure the solution fulfills their requirements and solves their need
  • Coordinate project kickoff meetings; manage the customer relationship throughout the project, and conduct formal project closeout meetings
  • Facilitate internal project post-mortems to identify areas of improvement on the next implementation
TetraScience

51-200 employees

R&D data cloud management
Company Overview
Tetra's mission is to combine deep domain knowledge, the industry's only purpose-built scientific Data Cloud, and the largest network of life sciences innovators, to harness the power of the worlds scientific data.
Benefits
  • Unlimited PTO
  • 100% company paid health, dental, & vision
  • Company paid life insurance
  • 401k savings
  • Company paid disability insurance
  • Equity program
  • Flexible work arrangements
Company Core Values
  • Transparency & context
  • Trust & collaboration
  • Fearlessness & resilience
  • Equality of opportunity
  • Alignment with customers
  • Commitment to craft