TetraScience

Software Engineer III - Data Applications

United States

Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Scientific Data, AI Cloud, Lab Data Management, Scientific AIIndustries

Job Description

Employment Type: Full-time Location Type: Remote Salary: Not specified


Position Overview

TetraScience is seeking a talented engineer to join their Scientific Data and AI Cloud team. This role involves building infrastructure to support scientific analysis software, focusing on designing and developing efficient platforms and tools for scientific use cases. The company is a leader in the Scientific AI market, partnering with major players in compute, cloud, data, and AI.


What You Will Do

  • Be a member of the Tetra engineering team building infrastructure to support scientific analysis software.
  • Self-start and make concrete progress in the face of ambiguity or conflicting requirements.
  • Design and develop efficient platforms and tools for others to develop and deploy high-quality scientific analysis software.
  • Address the resiliency, scale, and high availability requirements of these tools.
  • Deliver a high-quality product following the agile software development methodology.
  • Partner with the product management team to turn vision and ideas into reality.
  • Be comfortable working with a geographically dispersed team, in various time zones.
  • Learn, grow, and be challenged. Speak up and represent your position amongst peers and leadership while remaining resilient and open to constructive feedback.

Requirements

  • Experience: 5+ years of experience developing distributed systems to collect and process large datasets.
  • Programming Languages: Proficient with Node.js, Typescript, and associated technologies, OR Python and associated technologies.
  • Databases: Proficient with Databases and SQL.
  • Data Visualization: Familiar with Streamlit, Plotly Dash, etc. for data visualization.
  • Containerization: Familiar with container technologies like Docker.
  • Cloud Infrastructure: Familiar with cloud infrastructure providers like AWS, Azure, or GCP.
  • Testing: Experience writing maintainable unit tests and automated integration tests.
  • Debugging: Good application debugging skills.
  • Communication: Strong communication skills, including technical writing.
  • Education: Bachelors or Masters degree in Computer Science, or in a relevant scientific field.
  • Preferred: Experience in Life Sciences or scientific data is a big plus!

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.
  • No visa sponsorship is available for this position.

Company Information

TetraScience is the Scientific Data and AI Cloud company, catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets. They offer next-gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this market.


Additional Details

  • Department: Engineering
  • Published: 2025-07-14
  • Language: English

Skills

Software Development
Infrastructure
Data Applications
Agile Methodology
Platform Development
Tool Development
Resiliency
Scalability
High Availability

TetraScience

Cloud platform for scientific data management

About TetraScience

TetraScience offers a cloud-based platform called the Scientific Data Cloud, which helps biopharmaceutical companies manage and harmonize their scientific data for research and development, quality assurance, and manufacturing. The platform connects various lab instruments and software, streamlining data management and significantly reducing task completion time. TetraScience's vendor-neutral and open design allows it to work with any lab equipment, making it a flexible solution in the life sciences sector. The company's goal is to enhance scientific outcomes by preparing data for artificial intelligence and machine learning applications.

Boston, MassachusettsHeadquarters
2019Year Founded
$113.8MTotal Funding
SERIES_BCompany Stage
AI & Machine Learning, Biotechnology, HealthcareIndustries
51-200Employees

Benefits

Unlimited PTO
100% company paid health, dental, & vision
Company paid life insurance
401k savings
Company paid disability insurance
Equity program
Flexible work arrangements

Risks

Rapid AI development may outpace TetraScience's integration capabilities, risking obsolescence.
Dependency on partners like Google Cloud and NVIDIA could pose risks if disrupted.
International expansion may expose TetraScience to regulatory and compliance challenges.

Differentiation

TetraScience offers a vendor-neutral, open, cloud-native platform for scientific data management.
The platform integrates with any lab equipment or software, enhancing flexibility and adaptability.
TetraScience's Scientific Data Cloud centralizes and harmonizes data, preparing it for AI/ML applications.

Upsides

Partnerships with NVIDIA and Google Cloud enhance AI-native scientific datasets and capabilities.
Collaboration with Databricks accelerates the Scientific AI revolution in life sciences.
Bayer AG partnership maximizes scientific data value, driving innovation in biopharma.

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