Valo Health

Associate Director of Machine Learning in Epidemiology and Patient Data Products

Remote

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Biotechnology, Pharmaceuticals, Healthcare, Life SciencesIndustries

Requirements

Candidates should possess a strong background in machine learning, with a focus on epidemiology and patient data products, and demonstrate experience leading and managing data science teams. A Master's degree or Ph.D. in a relevant field such as computer science, statistics, or epidemiology is preferred, along with a proven track record of delivering innovative machine learning solutions and navigating ambiguous problems.

Responsibilities

As Associate Director, you will lead and manage a team of data scientists, overseeing the design, implementation, and evaluation of machine learning approaches using real-world data like electronic medical records to generate novel clinical insights. You will also report to the Director of Epidemiology and Patient Data Products, set the technical vision for your team, collaborate with other teams to improve Valo’s real-world data capabilities, and ensure the timely delivery of high-quality AI/ML projects aligned with strategic goals, utilizing agile tools for project management.

Skills

Machine Learning
AI
Data Science
Computational Biology
Generative AI
Team Leadership
Research
Data Analysis
Problem-Solving

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.

Key Metrics

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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