Staff Data Scientist, Machine Learning

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not specified

As a 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. Valo Health is a technology company using AI-powered technology to accelerate drug discovery and development. This role involves designing, developing, and applying machine learning (ML) models, methods, and pipelines for scientific problems involving clinical and biomedical data. You'll collaborate with diverse teams to reinvent drug discovery and development.

Requirements

• Education: Degree in a quantitative field with 7+ (BS), 5+ (MS), or 3+ (PhD) years of post-degree experience or equivalent.
• Machine Learning Experience: Broad experience in ML including supervised learning, unsupervised learning, dimensionality reduction, clustering, metrics, model selection, feature selection, and explainability (3+ years required).
• Electronic Health Records (EHR) Experience: Demonstrated experience with ML on electronic health records (2+ years required).
• Programming Skills: Proficient in Python (5+ years required) and experience with ML and data science packages (e.g., scikit-learn, statsmodels, scipy, MLlib).
• MLOps Experience: Experience with MLops methodology such as workflow orchestration (e.g., Airflow, Prefect), experiment tracking (e.g., MLflow), containerization (e.g., Docker), and reproducible research (3+ years required).
• Collaboration & Development: Experience with collaborative software development using source control management (e.g., git, unit testing, code review, CI/CD) (3+ years required).
• Big Data Experience: Experience with large-scale data analytics engines (e.g., Spark or Dask) and working in cloud environments (e.g., AWS) (2+ years required).

Responsibilities

• Propose, design, and develop ML approaches on high dimensional electronic health records and omics data leveraging Valo’s proprietary platform (data assets and data science packages).
• Design, develop, and support ML pipelines, workbenches, and dashboards to enable users to solve scientific problems.
• Develop well-designed, tested, and documented software packages.
• 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.

About Us

Valo Health is a technology company that is integrating human-centric data and AI-powered technology to accelerate the creation of life-changing drugs for more patients faster. Valo was created with the belief that the drug discovery and development process can and should be faster and less expensive, with a much higher probability of success. We are using models early to fail less often, executing clinical trials to add valuation to the company, and generating fit-for-purpose data to feed back into Valo’s Opal Computational Platform™ as we reinvent drug discovery and development from the ground up. Disease doesn’t wait, so neither can we.

Application Instructions

• [Instructions for applying would be included here if available]