Staff/Senior Staff Data Scientist - Machine Learning

March 21

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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

• As a Senior Staff Data Scientist, Machine Learning or Staff Data Scientist, Machine Learning you will be a core member of a team of data scientists and engineers building a powerful computational platform for advancing the research and development of new medicines. • 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.

🎯 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. • Experience with omics data is a plus. • Familiarity with the drug discovery and development process is a plus.