| Description | About Us Valo Health is a human-centric AI-enabled biotechnology company working to make 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 R&D 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 complex problems and welcome diverse perspectives that can help us advance patient-centric innovation. Valo is headquartered in Lexington MA with additional offices in New York 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 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 problemsright-sizing complex computational tasks and delivers innovative machine learning/AI results to external stakeholders on time. What You’ll Do… 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. Many of the challenges we’re trying to address don’t have known solutions or clear processes to arrive at answers Work with a diverse array of global patient data spanning electronic medical records sequencing 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 related 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 lead 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 within 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 Hugging Face 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 loop 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 Remote Salary Range$212000 - $280000 USD |