Full-Time

Front End Team Lead

Confirmed live in the last 24 hours

TetraScience

TetraScience

51-200 employees

Cloud platform for scientific data management

No salary listed

Expert

No H1B Sponsorship

Remote in USA

Category
Frontend Engineering
Software Engineering
Required Skills
JavaScript
React.js
TypeScript
AWS
Playwright
Selenium
HTML/CSS
Storybook
Requirements
  • 10+ years experience working in companies delivering products for B2B or B2C customers
  • 5 + years of managing an engineering team, being responsible for a feature and infrastructure roadmap
  • Proven ability to lead and mentor a team of engineers, fostering a collaborative and high-performing culture
  • Extensive knowledge of UI performance optimization techniques, including an understanding of lazy loading, asynchronous code execution, and efficient rendering strategies
  • Deep understanding of security practices relevant to front-end architecture, including OAuth, CORS, Content Security Policy, etc.
  • Extensive experience with multiple frameworks and libraries such as React
  • Deep expertise in HTML, CSS, JavaScript, and TypeScript
  • Ability to create interfaces that adapt to different screen sizes using responsive design techniques and ensure compatibility across various browsers
  • Strong focus on UI testing with popular UI automation testing tools like Selenium, Storybook, Playwright, etc.
  • Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams
  • Experience with Amazon Web Services (AWS) or other cloud providers
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field

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 competitors, TetraScience's vendor-neutral and open design allows it to integrate with any lab equipment, providing flexibility in data management. The company's goal is to enhance scientific outcomes by streamlining data processes and improving the quality of research and development.

Company Size

51-200

Company Stage

Series B

Total Funding

$117M

Headquarters

Boston, Massachusetts

Founded

2019

Simplify Jobs

Simplify's Take

What believers are saying

  • Partnerships with Microsoft, Google, and Databricks enhance AI capabilities in scientific research.
  • Collaboration with Bayer AG maximizes scientific data value, driving innovation and drug development.
  • Rising demand for vendor-neutral platforms aligns with TetraScience's unique selling proposition.

What critics are saying

  • Increased competition from platforms like Benchling and LabArchives in life sciences.
  • Potential data privacy concerns as TetraScience expands globally, especially under EU's GDPR.
  • Dependence on partnerships with tech giants poses risks if these partnerships dissolve.

What makes TetraScience unique

  • TetraScience offers a vendor-neutral, open, cloud-native platform for scientific data management.
  • The platform connects all lab instruments, informatics software, and data apps seamlessly.
  • TetraScience's Scientific Data Cloud is purpose-built for AI/ML applications in life sciences.

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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

Growth & Insights and Company News

Headcount

6 month growth

2%

1 year growth

0%

2 year growth

3%
BioSpace
Jan 16th, 2025
TetraScience Collaborates with Microsoft To Advance Scientific AI at Scale

TetraScience collaborates with Microsoft to advance Scientific AI at scale.

Hit Consultant
Jan 16th, 2025
Tetrascience & Microsoft Partner To Advance Scientific Ai In Biopharma

What You Should Know: – TetraScience, a provider of scientific data cloud solutions announced a strategic collaboration with Microsoft to accelerate the adoption of artificial intelligence (AI) in the biopharmaceutical industry. – The strategic partnership combines TetraScience’s Scientific Data and AI Cloud with the power and security of Microsoft Azure, creating a robust platform for scientific organizations to extract valuable insights from their complex experimental data.Explosion of Scientific Data ChallengesThe biopharmaceutical industry is facing a critical challenge: the explosion of scientific data. While AI holds immense promise for accelerating drug discovery and development, much of this data remains trapped in proprietary formats and scattered across disparate systems. This hinders the effective training and deployment of AI models, limiting the potential for breakthroughs.Harmonizing Scientific Data and Empowering AI WorkflowsThe TetraScience and Microsoft collaboration addresses this challenge head-on. By providing a comprehensive solution that encompasses massive computational power, advanced AI models, sophisticated scientific data ontologies, and deep scientific expertise, the partnership empowers organizations to overcome data silos and unlock the full potential of AI.TetraScience’s Scientific Data and AI Cloud is purpose-built to replatform and engineer scientific data into powerful data models and domain-specific use cases. This harmonizes data from hundreds of scientific instruments and vendor formats, ensuring that experimental context is preserved for multimodal analytics and AI model training.Microsoft Azure provides the enterprise-grade infrastructure and computational backbone for demanding scientific workloads, including real-time analytics and large-scale AI applications. This ensures that researchers have the resources they need to train and deploy sophisticated AI models.Preliminary Collaboration ResultsThis collaboration is already delivering tangible results

NVIDIA
Nov 13th, 2024
Japan Develops Next-Generation Drug Design, Healthcare Robotics and Digital Health Platforms

At AI Summit Japan, TetraScience, a company that engineers AI-native scientific datasets, announced a collaboration with NVIDIA to industrialize the production of scientific AI use cases to accelerate and improve workflows across the life sciences value chain.

Business Wire
May 20th, 2024
Accelerating The Scientific Ai Revolution: Tetrascience And Databricks Join Forces To Transform Scientific Research, Development, Manufacturing, And Quality Control In Life Sciences

BOSTON SAN FRANCISCO--(BUSINESS WIRE)--TetraScience and Databricks today announced a strategic partnership dedicated to helping life sciences organizations harness Scientific AI to bring more effective and safer therapies to market faster and less expensively. The life sciences industry is racing to unlock data intelligence and harness the value of AI. Companies want to use their massive data sets and ever-cheaper computational resources but are blocked by more than 10 million silos of unstructured and vendor-specific proprietary data, which inhibit AI. This partnership rapidly accelerates the Scientific AI revolution by re-platforming and engineering this data to enable the large-scale production of AI-native scientific data across the entire value chain, supporting a growing suite of next-generation lab data management solutions, scientific use cases, and AI-based scientific outcomes

Business Wire
Apr 16th, 2024
Tetrascience Partners With Google Cloud To Catalyze Scientific Ai Innovation

BOSTON--(BUSINESS WIRE)--TetraScience, the Scientific Data and AI Cloud company, today announced a strategic partnership with Google Cloud at the Bio-IT World Conference Expo to speed up drug development and other scientific discoveries. By bringing the Tetra Scientific Data and AI Cloud together with Google Cloud’s infrastructure and AI technologies, the two companies will help empower the life science industry to harness Scientific AI to generate insights much more quickly. This, in turn, will lead to accelerated and improved research, development, and quality-control processes for advanced therapies. “Scientific AI holds extraordinary potential to accelerate and improve science by delivering new capabilities to all key stakeholders - scientists, data and AI teams, and scientific IT,” said Patrick Grady, CEO and chairman of TetraScience. “Together, TetraScience and Google Cloud provide the sophisticated design and industrialization of AI-native scientific datasets and advanced AI technologies to deliver on this unprecedented opportunity.”. The Tetra Scientific Data and AI Cloud shatters the industry-wide data silo paradigm and uniquely centralizes, designs, and industrializes the production of large-scale and liquid AI-native scientific datasets