TetraScience

Scientific Data Architect - New York

New York, New York, United States

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

Job Description

Employment Type: Full-time Location Type: Remote

Position Overview

TetraScience is the Scientific Data and AI Cloud company, catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets. We offer next-generation lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, with dominant players in compute, cloud, data, and AI infrastructure converging on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships.

  • Company Values: Candidates will be asked to review the "Tetra Way" letter, authored by the CEO, to understand the company's values and ethos. Alignment with these principles is critical for success at TetraScience.

Who You Are

You are a product-minded, outcome-obsessed driver of technical scientific solutions. You are a high-velocity self-starter who refuses to let uncertainty obstruct your path to designing and building solutions. You are hands-on, prototype, demo, and build to accelerate product delivery. You thrive in collaborative environments with scientists, product managers, and engineers, transforming complex scientific data into actionable outcomes. You bridge understanding between present-day pain points and generalizable solutions with rich experience in applying cutting-edge data methodologies to the biopharma R&D domain. You are an insatiable learner with a track record of deeply learning new tools, methods, and domains. You embody extreme ownership and have a demonstrated history of building extensible data models and applications for Biopharma end users to maximize value from their data via analysis and integration with AI/ML. This role requires extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life science industry.

What You Have Done

  • PhD with 7+ years or Masters with 10+ years of industry experience in life sciences.
  • Extensive domain knowledge in drug discovery (target ID through lead optimization), preclinical development, CMC (all drug modalities), or product quality testing.
  • Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments.
  • Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders.
  • Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible.
  • Engaged diverse audiences, from scientists to executive stakeholders, using excellent communication and storytelling abilities.
  • Advised scientists in a consulting capacity to further research, development, and quality testing outcomes.

What You Will Do

  • Be a critical team member in a unique partnership to industrialize Scientific AI.
  • Engage directly with customers onsite a few times a week in the New York Region, building strong relationships.
  • Deeply understand customer scientific data challenges and requirements.
  • Accelerate solutions for customers.
  • Design and prototype innovative AI/ML solutions.
  • Implement and deploy AI/ML-driven use cases in cloud environments.

Requirements

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Application Instructions

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Company Information

TetraScience is the Scientific Data and AI Cloud company, leading the Scientific AI revolution with AI-native scientific data sets and next-generation lab data management solutions.

Skills

Data Architecture
Scientific Data
AI
Cloud
Data Management
Prototyping
Demoing
Collaboration

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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