TetraScience

Scientific Data Architect - Bay Area

San Francisco, California, 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 ManagementIndustries

Job Description: Scientific Data and AI Cloud Company

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


Position Overview

TetraScience is the Scientific Data and AI Cloud company, catalyzing the Scientific AI revolution. We design and industrialize AI-native scientific data sets, bringing them to life through next-generation lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, experiencing significant growth and forming partnerships with dominant players in compute, cloud, data, and AI infrastructure.


About TetraScience

TetraScience is at the forefront of transforming scientific data management and AI application in the life sciences industry. We are committed to building a company culture defined by our unique approach, as detailed in the "Tetra Way" letter authored by our CEO. Candidates are strongly encouraged to review this document to ensure alignment with our values and ethos. We expect all team members to embody these principles daily.


Who You Are

You are a product-minded, outcome-obsessed driver of technical scientific solutions. You are a high-velocity self-starter who thrives on overcoming uncertainty to design and build solutions. You are hands-on, willing to prototype, demo, and build to accelerate product delivery for end-users. You excel in collaborative environments, working with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. Your ability to communicate effectively with both scientists and business leaders maximizes the value derived from scientific data.

With extensive experience applying cutting-edge data methodologies to the biopharma R&D domain, you bridge the gap between current pain points and generalizable solutions. You are an insatiable learner, with a proven track record of mastering new tools, methods, and domains. You embody extreme ownership and have a history of building extensible data models and applications for Biopharma end-users to maximize data value through analysis and AI/ML integration. This role demands extreme self-discipline and determination as we forge a category that will fundamentally change the life science industry.


What You Have Done

  • Education & Experience: PhD with 7+ years of industry experience OR Masters with 10+ years of industry experience in life sciences.
  • Domain Expertise: Extensive domain knowledge in drug discovery (target ID through lead optimization), preclinical development, CMC (all drug modalities), or product quality testing.
  • AI/ML Implementation: Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments.
  • Collaboration: Experience collaborating with cross-functional teams, including product managers, software engineers, and scientific stakeholders.
  • Data Analysis & Optimization: Performed extensive exploratory data analysis and workflow optimization to enable novel scientific outcomes.
  • Communication: Engaged diverse audiences, from scientists to executive stakeholders, using excellent communication and storytelling abilities.
  • Consulting: Advised scientists in a consulting capacity to further research, development, and quality testing outcomes.

What You Will Do

  • Customer Engagement: Serve as a critical team member in a unique partnership to industrialize Scientific AI. Engage directly with customers onsite a couple of days a week in the Bay Region.
  • Relationship Building: Build strong relationships with customers, deeply understanding their scientific data challenges and requirements.
  • Solution Acceleration: Accelerate the delivery of solutions to meet customer needs.
  • Design & Prototyping: Design and prototype scientific data solutions.

Application Instructions

  • Candidates will be asked to carefully review the "Tetra Way" letter authored by the CEO to assess cultural and values alignment.

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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