Staff Data Scientist in Epidemiology and Patient Data Products

Remote

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Pharmaceuticals, HealthcareIndustries

Requirements

Candidates must possess an MPH, MS with 5+ years of experience, or a PhD in epidemiology or biostatistics with 3+ years of relevant work experience. A minimum of 3 years of experience is required in developing and executing analytical strategies, including cohort and case control study design, utilizing healthcare databases such as electronic health records and administrative claims.

Responsibilities

The Staff Data Scientist will lead end-to-end real-world data studies to generate causal evidence for drug discovery and development projects. Responsibilities include translating research questions into observational study designs, curating clinical variables for machine learning models, executing trajectory modeling, interpreting machine learning results into patient profiles, and performing longitudinal analyses. The role also involves working with diverse data types in cloud environments, collaborating with drug discovery and clinical development teams, and actively participating in team activities such as code reviews and providing work updates.

Skills

Epidemiology

Patient Data Products

Real-world data

AI/ML

Drug Discovery

Drug Development

Computational Biology

Statistical Genetics

Machine Learning

Valo Health

Drug discovery using machine learning technology

About Valo Health

Valo Health focuses on drug discovery and development in the biopharmaceutical sector, utilizing advanced technology to create new drugs and therapies. The company employs its proprietary Opal Computational platform, which integrates machine learning, tissue biology, and patient data to streamline the drug discovery process. This platform allows Valo Health to identify potential drug candidates more quickly and accurately than traditional methods. Valo Health differentiates itself from competitors by combining technology with life sciences, fostering a collaborative culture that addresses significant challenges in drug development. The company's goal is to improve health outcomes for patients worldwide by delivering effective solutions through partnerships with pharmaceutical companies and research institutions.

Boston, MassachusettsHeadquarters

2019Year Founded

$474.2MTotal Funding

LATE_VCCompany Stage

AI & Machine Learning, BiotechnologyIndustries

51-200Employees

Risks

Leadership changes may impact Valo's strategic direction and decision-making.

Heavy reliance on Novo Nordisk partnership poses financial risks if expectations aren't met.

Intensifying competition in AI-driven drug discovery could challenge Valo's market position.

Differentiation

Valo Health integrates AI and human-centric data for drug discovery and development.

The Opal Computational Platform offers an end-to-end solution for drug discovery.

Valo's approach combines machine learning, tissue biology, and patient data for precision therapeutics.

Upsides

Valo's partnership with Novo Nordisk could yield up to $4.6 billion in milestone payments.

The growing market for AI-driven drug discovery platforms supports Valo's business model.

Strategic partnerships with pharmaceutical companies enhance Valo's revenue and market reach.

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