[Remote] Scientific Data Architect - United Kingdom at TetraScience

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Life Sciences, BiotechnologyIndustries

Requirements

PhD with 7+ years or Masters with 10+ years of industry experience in life sciences with 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

Responsibilities

Design and implement extensible, reusable data models that efficiently capture and organize scientific data for scientific use cases, ensuring scalability and future adaptability
Translate scientific data workflows into robust solutions leveraging the Tetra Data Platform
Own, scope, prototype, and implement solutions including data model design

Skills

Key technologies and capabilities for this role

Data ArchitectureScientific Data ManagementAI PipelinesCloud ComputingLab Data SolutionsData ModelingPrototypingScientific Collaboration

Questions & Answers

Common questions about this position

Is this position remote?

Yes, the position is remote.

What experience is required for this role?

A PhD with 7+ years or Masters with 10+ years of industry experience in life sciences is required, with extensive domain knowledge in drug discovery, preclinical development, CMC, or product quality.

What is the salary for this position?

This information is not specified in the job description.

What is the company culture like at TetraScience?

TetraScience emphasizes values outlined in 'The Tetra Way' letter, which candidates must review for alignment; they seek product-minded, outcome-obsessed self-starters who embody extreme ownership and thrive in collaborative environments.

What makes a strong candidate for this role?

Strong candidates are high-velocity self-starters with experience building extensible data models for Biopharma, who prototype quickly, collaborate with scientists and engineers, and demonstrate extreme self-discipline in a fast-paced environment.

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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