Scientific Business Analyst, Scientific AI

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

Requirements

Candidates must possess a PhD and have 15+ 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. A proven track record of defining and implementing AI/ML-driven use cases in productized environments is required, along with experience collaborating with cross-functional teams.

Responsibilities

The Scientific Business Analyst will bridge scientific insights and cutting-edge technology by collaborating with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. They will uncover innovative use cases that drive AI and machine learning applications, engaging with scientists and business leaders to maximize the value of scientific data. This role will require extreme self-discipline and determination as the individual develops requirements for complex solutions targeted to R&D and Quality personas inside of Life Sciences.

Skills

Scientific Data

Machine Learning

Drug Discovery

Preclinical Development

CMC

Quality

Data Analysis

Business Analysis

Product Management

Scientific Use Cases

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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