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Full-Time

Scientific Data Engineer

Confirmed live in the last 24 hours

TetraScience

TetraScience

51-200 employees

Cloud platform for scientific data management

Data & Analytics
Hardware
Enterprise Software
AI & Machine Learning
Biotechnology
Healthcare

Mid

United States

Category
Data Engineering
Data & Analytics
Required Skills
Python
Jupyter
SQL
Tableau
Requirements
  • >3 years in Python and SQL
  • Passionate about data problems and how data solutions can solve problems for the science industry
  • Science background or experience with scientific instruments is a strong plus
  • Experience with data plotting dashboarding tools like Streamlit, Tableau, Jupyter notebook (any of them)
  • Undergraduate or graduate degree in chemistry, biology, computer science or similar subjects
  • 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
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

TetraScience offers a cloud-based platform called the Scientific Data Cloud, which helps biopharmaceutical companies manage their scientific data more effectively. The platform collects, centralizes, and harmonizes data from various lab instruments and software, making it easier to prepare for artificial intelligence and machine learning applications. Unlike its competitors, TetraScience's vendor-neutral and open design allows it to integrate with any lab equipment, providing flexibility in data management. The goal is to streamline data processes, saving time and improving scientific outcomes.

Company Stage

Series B

Total Funding

$99M

Headquarters

Boston, Massachusetts

Founded

2019

Growth & Insights
Headcount

6 month growth

-11%

1 year growth

-14%

2 year growth

-14%
Simplify Jobs

Simplify's Take

What believers are saying

  • Collaborations with major players like Bayer AG and Google Cloud indicate strong market validation and potential for significant growth.
  • The platform's ability to transform and centralize scientific data into AI-ready formats can drastically improve research and development efficiency, leading to faster drug development cycles.
  • ISO 9001:2015 certification underscores TetraScience's commitment to quality and compliance, which is crucial for attracting and retaining biopharma clients.

What critics are saying

  • The highly specialized nature of their platform may limit their market to primarily large biopharmaceutical companies, potentially restricting growth opportunities.
  • Dependence on strategic partnerships for advanced capabilities could pose risks if these partnerships were to dissolve.

What makes TetraScience unique

  • TetraScience offers a vendor-neutral, open, cloud-native platform specifically designed for scientific data management, unlike many competitors who offer more generalized solutions.
  • Their platform's ability to connect all lab instruments, informatics software, and data apps provides a seamless data management experience across the biopharma value chain.
  • Strategic partnerships with industry giants like Databricks and Google Cloud enhance their capabilities in AI and data management, setting them apart from other life sciences data platforms.

Benefits

Unlimited PTO

100% company paid health, dental, & vision

Company paid life insurance

401k savings

Company paid disability insurance

Equity program

Flexible work arrangements