[Remote] Staff Data Scientist in Epidemiology and Patient Data Products at Valo Health

Remote

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Pharmaceuticals, HealthcareIndustries

Skills

Key technologies and capabilities for this role

EpidemiologyPatient Data ProductsReal-world dataAI/MLDrug DiscoveryDrug DevelopmentComputational BiologyStatistical GeneticsMachine Learning

Questions & Answers

Common questions about this position

What is the salary or compensation for this Staff Data Scientist role?

This information is not specified in the job description.

Is this Staff Data Scientist position remote or does it require working from an office?

This information is not specified in the job description.

What skills are required for the Staff Data Scientist in Epidemiology role?

The role requires experience with R and Python in cloud environments, working with diverse data like electronic medical records, sequencing, and multi-omics data, and skills in observational study designs, trajectory modeling, machine learning models, and longitudinal analyses.

What is the company culture like at Valo Health?

Valo Health fosters an inclusive environment, prioritizes growth and development, hires diverse talent, embraces new ways of learning, solves complex problems, and welcomes diverse perspectives to advance patient-centric innovation in a collaborative team setting.

What makes a strong candidate for this Staff Data Scientist position?

Strong candidates will be comfortable with scientific uncertainty, embrace curiosity and creative solutions, have experience leading end-to-end real world data studies, and can partner across machine learning, statistical genetics, and computational biology in an innovative startup environment.

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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