[Hiring] Staff Data Scientist, Machine Learning @Valo Health

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

• 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 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.

Qualifications

• Degree in a quantitative field with 7+ (BS), 5+ (MS), or 3+ (PhD) years of post-degree experience or equivalent.
• Broad experience in ML including supervised learning, unsupervised learning, dimensionality reduction, clustering, metrics, model selection, feature selection, and explainability (3+ years required).
• Demonstrated experience with ML on electronic health records (2+ years required).
• Proficient in Python (5+ years required) and experience with ML and data science packages (e.g., scikit-learn, statsmodels, scipy, MLlib).
• 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).
• Experience with collaborative software development using source control management (e.g., git, unit testing, code review, CI/CD) (3+ years required).
• Experience with large-scale data analytics engines (e.g., Spark or Dask) and working in cloud environments (e.g., AWS) (2+ years required).
• 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.

Benefits

• Salary Range: $175,000 — $235,000 USD

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