[Remote] Scientific Data Architect - Basel, Switzerland at TetraScience

Basel, Basel-Stadt, Switzerland

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Scientific Data, AI Cloud, Lab Data ManagementIndustries

Skills

Key technologies and capabilities for this role

Data ArchitectureScientific DataAICloudData ManagementProblem-SolvingPrototypingCollaboration

Questions & Answers

Common questions about this position

Is this position remote?

Yes, the position is remote.

What education and experience are 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 testing.

What key skills and experiences make a strong candidate?

Strong candidates have a proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments, along with collaboration experience with cross-functional teams and extensive exploratory data analysis.

What is the company culture like at TetraScience?

The culture emphasizes the 'Tetra Way' values outlined in a letter by the CEO, requiring candidates to embody extreme ownership, high-velocity self-starting, outcome obsession, and collaboration with scientists, product managers, and engineers.

What is the salary or compensation for this role?

This information is not specified in the job description.

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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