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

Position Overview

  • Location Type: Remote
  • Job Type: Full-time
  • Salary: Not specified

Valo Health is a technology company applying human and machine intelligence to accelerate the creation of life-changing medical treatments. At the core of this vision is Valo’s computational platform: an end-to-end, integrated drug discovery and development engine that is being built from the ground up. Valo hires the best and gives them first-class training and support. We approach our work fearlessly, learn quickly, improve constantly, and celebrate our wins. A centerpiece of our culture is our commitment to inclusion across race, gender, age, religion, identity, and experience. Diversity fuels the Valo experience and drives us every day. We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.

As Associate Director of Machine Learning in Epidemiology and Patient Data Products, you will lead groundbreaking research that is revolutionizing drug discovery. Our innovative platform leverages advanced computational techniques to accelerate the development of new medicines. You will lead a team of data scientists at the intersection of AI capability innovation and implementing machine learning tools to solve real patient problems that have significant impacts on global health. You will own the team’s strategic vision and collaborate with patient data, computational biology and engineering product leaders to align generative AI initiatives with patient needs.

A successful candidate is passionate about leading high-impact teams, navigates ambiguous problems--right-sizing complex computational tasks, and delivers innovative machine learning/AI results to external stakeholders on time.

Responsibilities

  • Lead and manage a team of three data scientists responsible for the design, implementation, and evaluation of innovative machine learning approaches in real world data (e.g., electronic medical records) for novel clinical insights.
  • Report to the Director of Epidemiology and Patient Data Products.
  • Set the technical vision for your team and partner with other teams to improve Valo’s real world data capabilities, such as care pathway optimization or patient journey mapping.
  • Foster a culture of innovation, collaboration, and continuous learning to drive team performance and enhance Valo’s computational platform.
  • Engage with patient data leaders and engineering product teams to align generative AI initiatives, translating complex data science concepts into compelling strategies that showcase patient-centric insights.
  • Oversee multiple AI/ML projects, ensuring timely delivery, high quality, and alignment with Valo’s strategic goals. Leverage agile software tools (e.g., Jira boards) to manage timeline and resource allocation.
  • Be comfortable with scientific uncertainty and embrace curiosity and creative solutions.

Requirements

  • Not specified

Company Information

  • About Us: Valo Health is a technology company applying human and machine intelligence to accelerate the creation of life-changing medical treatments.
  • Culture: Valo values inclusion, innovation, collaboration, and continuous learning.

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.

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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