Staff/Senior Staff Data Scientist, Machine Learning

Valo Health
Summary
Join Valo Health as a Senior Staff Data Scientist, Machine Learning or Staff Data Scientist, Machine Learning and become a core member of a team building a computational platform for advancing new medicine research and development. You will design, develop, and apply machine learning models for scientific problems using clinical and biomedical data. Collaboration with various scientific and engineering teams is crucial. The role requires significant experience in deep learning, working with electronic health records, and proficiency in Python and relevant deep learning frameworks. Specific experience requirements vary based on seniority level. Valo Health offers a competitive salary and is committed to fostering a diverse and inclusive work environment.
Requirements
- Degree in a quantitative field with the following years of post-degree experience or equivalent: Senior Staff: 9+ (BS), 7+ (MS), or 5+ (PhD); Staff: 7+ (BS), 5+ (MS), or 3+ (PhD)
- Demonstrated experience designing, developing, applying, and evaluating the performance of deep learning approaches such as representation learning, transformers, sequence models, and self-supervised learning on high dimensional or multimodal data and approaches for explainability (Staff: 3+ years required; Senior Staff: 5+ years required)
- Demonstrated experience with ML on electronic health records (3+ years required)
- Proficient in Python (5+ years required) and with developing models using deep learning frameworks (e.g., pytorch) in cloud environments (e.g., AWS)
- Experience with collaborative software development using source control management (e.g., git, unit testing, code review, CI/CD) (3+ years required)
- 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 statistical methods such as hypothesis testing, longitudinal modeling, and time to event analysis
- 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
Responsibilities
- Provide technical leadership to propose, design, develop, and evaluate innovative deep learning models for learning patient representations from high dimensional electronic health records and omics data leveraging Valo’s proprietary platform (data assets and computational capabilities)
- Design, develop, and own deep learning pipelines to solve scientific problems
- Propose and perform hands-on deep learning-based modeling of high-dimensional longitudinal data to generate fit-for-purpose evidence for projects
- Contribute to planning, execution, interpretation, and communication of results
- Collaborate with cross-functional teams and stakeholders to derive user requirements, maintain alignment, and ensure the relevance and impact of models, analyses, and pipelines
- Be an active team member in code, design, and analysis review
Preferred Qualifications
- Experience with omics data is a plus
- Familiarity with the drug discovery and development process is a plus
Benefits
- Staff Data Scientist Salary Range: $175,000 - $235,000
- Senior Staff Data Scientist Salary Range: $215,000 - $280,000