TetraScience

Software Engineer III - Data Acquisition

United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Scientific Data, AI Cloud, Lab Data ManagementIndustries

Job Description: Data Acquisition Engineer

Position Overview

TetraScience is seeking a talented Data Acquisition Engineer to join our Scientific Data and AI Cloud team. You will be instrumental in building highly performant connectors to collect data from scientific instruments and other data sources, contributing to the development of AI-native scientific data sets and next-generation lab data management solutions.

About TetraScience

TetraScience is the Scientific Data and AI Cloud company, leading the Scientific AI revolution. We are the category leader in this vital new market, partnering with dominant players in compute, cloud, data, and AI infrastructure. We encourage candidates to review the "Tetra Way" letter authored by our CEO to understand our values and ethos.

Responsibilities

  • Be a member of the Tetra data acquisition engineering team.
  • Build highly performant connectors to collect data from scientific instruments and other data sources.
  • Self-start and make concrete progress in the face of ambiguity or conflicting requirements.
  • Design and develop efficient solutions to extract data from data sources.
  • Address the resiliency, scale, and high availability requirements of the connectors.
  • Deliver a high-quality product following the agile software development methodology.
  • Partner with the product management team to translate vision and ideas into reality.
  • Be comfortable working with a geographically dispersed team across various time zones.
  • Learn, grow, and be challenged, representing your position amongst peers and leadership while remaining resilient and open to constructive feedback.

Requirements

  • 5+ Years of experience developing distributed systems to collect and process large datasets.
  • Proficient with Node.js, Typescript, and associated technologies, OR Python and associated technologies.
  • Proficient with Databases and SQL.
  • Familiar with container technologies like Docker.
  • Familiar with cloud infrastructure providers like AWS, Azure, or GCP.
  • Experience writing maintainable unit tests and automated integration tests.
  • Experience with Linux and cloud-based performance tuning.
  • Good application debugging skills.
  • Strong communication skills, including technical writing.
  • Bachelors or Masters degree in Computer Science or equivalent major, or equivalent in a relevant scientific field.
  • 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.

Additional Details

  • Employment Type: Full-time
  • Location Type: Remote
  • Department: Engineering
  • Language: English
  • Published: 2025-07-14

Skills

Data Acquisition
Connectors
Scientific Instruments
Data Sources
Agile Software Development
Product Management

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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