[Remote] Scientific Business Analyst, Scientific AI at TetraScience

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Scientific Data, AI Cloud, Drug Discovery, Biotechnology, PharmaceuticalsIndustries

Skills

Key technologies and capabilities for this role

Scientific DataAIMachine LearningDrug DiscoveryPreclinical DevelopmentCMCQualityData AnalysisBusiness AnalysisProduct ManagementScientific Use Cases

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What is the salary for this role?

This information is not specified in the job description.

What are the key requirements for this position?

Candidates need a PhD with 15+ years of industry experience in life sciences, extensive domain knowledge in drug discovery, preclinical development, CMC, or product quality testing, and a proven track record of defining and implementing AI/ML-driven use cases.

What kind of collaboration is expected in this role?

You will collaborate with scientists, product managers, engineers, and customers, including interviewing scientists and engaging with cross-functional teams and stakeholders.

What makes a strong candidate for this Scientific Business Analyst role?

A strong candidate has a PhD with 15+ years in life sciences, deep expertise in drug discovery or related areas, experience with AI/ML use cases, and excellent communication skills for engaging diverse stakeholders.

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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