Accelerate the creation of life-changing medical treatments through the application of human and machine intelligence.
Requirements
- 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
- Familiarity with healthcare data systems (e.g., EHRs, registries, claims data) and their integration with AI models
- Experience with cloud platforms (e.g., AWS) and distributed computing 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
- Expertise in cloud platforms (e.g., AWS) and distributed computing is a plus
Responsibilities
- Lead and manage a team of data scientists responsible for the design, implementation, and evaluation of innovative machine learning approaches in real world data
- Set the technical vision for the team and partner with other teams to improve Valo’s real world data capabilities
- Oversee multiple AI/ML projects, ensuring timely delivery, high quality, 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
- 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
- Leverage agile software tools (e.g., Jira boards) to manage timeline and resource allocation
Other
- 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
- Strong interpersonal and communication skills to engage effectively with engineering teams, epidemiology and biology leads, and business stakeholders
- 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
