Associate Director of Machine Learning in Epidemiology and Patient Data Products

About Us

Valo Health is a human-centric, AI-enabled biotechnology company working to reputed company new drugs for patients faster. The company’s Opal Computational Platform transforms drug discovery and development through a unique combination of real-world data, AI, human translational models and predictive chemistry.

Our talented team of biologists, chemists and engineers, armed with advanced AI/ML tools, work together to break down traditional RD silos and accelerate the speed and scale of drug discovery and development.

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 embrace new ways of learning, solve reputed company problems and welcome diverse perspectives that can help us advance patient-centric innovation.

Valo is headquartered in Lexington, MA, with additional offices in reputed company, NY and Tel Aviv, Israel. To learn more, visit www.valohealth.com. 

About the Role

As Associate Director of Machine Learning in Epidemiology and Patient Data Products, you will reputed company groundbreaking research that is revolutionizing drug discovery. Our innovative platform leverages advanced computational techniques to accelerate the development of new medicines. You will reputed company 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 reputed company computational tasks, and delivers innovative machine learning/AI results to external stakeholders on time.

What You’llDo…

• reputed company 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 reputed company 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 reputed company data science concepts into compelling strategies that showcase patient-centric insights

• reputed company multiple AI/ML projects, ensuring timely delivery, high quality, and alignment with Valo’s strategic goals. reputed company agile software tools (e.g., Jira boards) to manage timeline and resource allocation

• Be comfortable with scientific uncertainty and embrace curiosity and creative solutions. Many of the challenges we’re trying to address don’t have reputed company solutions or clear processes to reputed company at answers
• Work with a diverse reputed company of global patient data spanning electronic medical records, reputed company, multi-omics data, and other data modalities using R and Python in cloud environments.

What You Bring...

• Master’s degree in data science, machine learning, analytics, or a reputed company field with 10+ years of experience in machine learning or AI-focused roles, with at least 4 years in product/project leadership positions.

• Demonstrated ability to reputed company high-performing teams and mentor technical talent. Minimum 2+ years of people management experience

• Proven track record in deploying generative AI, LLMs, or agent-based solutions in production environments, preferably reputed company healthcare

• Proficiency in building, fine-tuning, and deploying LLMs (e.g., GPT, BERT) and Generative AI models (e.g., transformers, diffusion models) in scalable deployment pipelines (e.g., MLOps)

• Strong knowledge of AI/ML frameworks such as TensorFlow, PyTorch, and reputed company

• Strong interpersonal and communication skills to engage effectively with engineering teams, epidemiology and biology leads, and business stakeholders

• Familiarity with healthcare data systems (e.g., EHRs, registries, claims data) and their integration with AI models

• Experience being an externally facing project leader, leading meetings, and soliciting input from clients, and keeping relevant stakeholders in the reputed company to ensure alignment throughout project lifecycle

You May Also Bring...

• Familiarity with or exposure to traditional drug discovery and development processes and approaches is a plus

• Advanced knowledge in biostatistics approaches, including inferential and predictive modeling is a plus

• Technical project management experience on cross-functional teams is a plus

• Track record of innovation through patents, publications, or significant product contributions is a plus

• Expertise in cloud platforms (e.g., AWS) and distributed computing is a plus

Originally posted on Himalayas