About Us

Valo Health is a technology company that is integrating human-centric data and AI-powered technology to accelerate the creation of life-changing drugs for more patients faster. Valo was created with the belief that the drug discovery and development process can and should be faster and less expensive, with a much higher probability of success. We are using models early to fail less often, executing clinical trials to add valuation to the company, and generating fit-for-purpose data to feed back into Valo’s Opal Computational Platform™ as we reinvent drug discovery and development from the ground up. Disease doesn’t wait, so neither can we.

We are a multi-disciplinary team of experts in science, technology, and pharmaceuticals united in our mission to achieve better drugs for patients faster. Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We achieve the widest-ranging impact when we leverage our broad backgrounds and perspectives to accelerate a new frontier in health. Valo seeks to become the catalyst for the pharmaceutical industry and drive the digital transformation of the industry. Are you ready to join us?

About the Role

As Principle Machine Learning Engineer, you will be the team lead for Valo’s clinical machine learning capabilities. You will be accountable for delivering robust, tested, usable tools that enable the detection of clinically meaningful patient subgroups using dense, diverse patient data. Success in this role looks like timely delivery of software that meets users needs. You will be responsible for productionizing prototype code, developing and maintaining the roadmap, managing stakeholders, and leading a team.

What You’ll Do...

• Productionize prototype code.
• Own Valo’s clinical machine learning platform strategy and roadmap.
• Lead development and application of Valo’s patient subgroup discovery, characterization, andinsight generation capabilities to support target identification for drug discovery.
• Deeply understand the pain and needs of users and cross-functional stakeholders including Epidemiology, Data science, and Biology.
• Work hands-on when needed.
• Lead a growing  team of high-performing machine learning engineers and data scientists.

What You Bring...

• Degree in a quantitative field with 12+ (BS), 10+ (MS), or 8+ (PhD) years industry experiencing developing and delivering software products.
• Strong work ethic with a bias for execution and an ability to manage multiple priorities, ambiguity, and tight timelines. Ability to work effectively in teams or independently.
• A focus on usability and end-user satisfaction.
• Extensive experience planning, developing, and delivering technical software.
• Extensive experience with software engineering and MLops best practices to enable efficientand reproducible research.
• Demonstrated experience with internal and external stakeholder management, developing workplans, and managing projects.
• Previous experience managing matrix teams and/or direct reports.
• Broad experience in ML including supervised learning, unsupervised learning, dimensionality reduction, clustering, metrics, model selection, feature selection, and explainability
• Expert in Python including experience with ML and data science packages (e.g., scikit-learn, statsmodels, scipy, MLlib).
• Experience with MLops methodology such as workflow orchestration (e.g., Airflow, Prefect),experiment tracking (e.g., MLflow), containerization (e.g., Docker), and reproducible research
• Experience with collaborative software development using source control management (e.g., git, unit testing, code review, CI/CD)
• Experience with large-scale data analytics engines (e.g., Spark or Dask) and working in cloud environments (e.g., AWS)

Nice to have...

• Familiarity with RWE data is a strong plus.
• Familiarity with the drug discovery and development process is a plus.

More on Valo

Valo Health, LLC (“Valo”) is a technology company built to transform the drug discovery and development process using human-centric data and artificial intelligence-driven computation. As a digitally native company, Valo aims to fully integrate human-centric data across the entire drug development life cycle into a single unified architecture, thereby accelerating the discovery and development of life-changing drugs while simultaneously reducing costs, time, and failure rates. The company’s Opal Computational Platform™ is an integrated set of capabilities designed to transform data into valuable insights that may accelerate discoveries and enable Valo to advance a robust pipeline of programs across cardiovascular metabolic renal, oncology, and neurodegenerative diseases. Founded by Flagship Pioneering, Valo is headquartered in Lexington, MA with tissue engineering research based in New York, NY. To learn more, visit www.valohealth.com.