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Full-Time

Data Engineer

Life Sciences, Python, Sql, Etl, Professional Services

Confirmed live in the last 24 hours

TetraScience

TetraScience

51-200 employees

Cloud platform for scientific data management

AI & Machine Learning
Biotechnology

Senior

No H1B Sponsorship

Boston, MA, USA

Remote option available, but in-office presence in Boston is required.

Category
Data Engineering
Data & Analytics
Required Skills
Python
SQL
Tableau
Elasticsearch
Requirements
  • >5 years in Python and SQL.
  • 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.
  • 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 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

-8%

1 year growth

-15%

2 year growth

-16%
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.

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Benefits

Unlimited PTO

100% company paid health, dental, & vision

Company paid life insurance

401k savings

Company paid disability insurance

Equity program

Flexible work arrangements