Associate Director - Machine Learning - Epidemiology and Patient Data Products

April 8

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Valo Health

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Valo Health is a company dedicated to revolutionizing the discovery and development of life-changing medicines using high-quality patient data and AI-driven technology. Through its Opal Computational Platform, Valo Health integrates machine learning, tissue biology, and patient data to enhance drug discovery and development processes. The company brings together a diverse team of software engineers, data scientists, biologists, and chemists to harness advanced technology and patient data for innovative healthcare solutions. Valo Health is committed to achieving better health outcomes by accelerating the creation of medicines on behalf of patients worldwide.

51 - 200 employees

🧬 Biotechnology

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

💰 Series C on 2022-10

📋 Description

• Valo Health is a technology company applying human and machine intelligence to accelerate the creation of life-changing medical treatments. • 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. • 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. • 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. • Navigate ambiguous problems and deliver innovative machine learning/AI results to external stakeholders on time. • 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 and alignment with Valo’s strategic goals. • 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.

🎯 Requirements

• 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.