- Perform hands-on exploratory and defined analysis and modeling of high-dimensional longitudinal data to generate fit-for-purpose evidence for decision making for multiple projects.
- Design and implement innovative ML approaches leveraging Valo's proprietary platform (data assets and data science packages) as well as newly published methods.
- Contribute to the design and implementation of robust, automated pipelines leveraging deep learning and classical ML on high dimensional electronic health records and omics data to solve scientific problems.
- Develop well-designed, tested, and documented software packages.
- Contribute to planning, execution, interpretation, and communication of results.
- Collaborate with cross-functional teams and key 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.
- Degree in a quantitative field with the following years of post-degree experience or equivalent
- Senior: 4+ (BS), 2+ (MS), or 0+ (PhD)
- Staff: 7+ (BS), 5+ (MS), or 3+ (PhD)
- Demonstrated experience implementing and applying deep learning approaches such as representation learning, sequence models, transformers, and self-supervised learning on high dimensional or multimodal data.
- Broad experience in ML including random forest, logistic regression, dimensionality reduction, clustering, metrics, model selection, feature selection, and explainability.
- Proficient in Python and experience with ML, deep learning, and data science packages (e.g., scikit-learn, pytorch, statsmodels, scipy, MLlib).
- Experience with large-scale data analytics engines (e.g., Spark or Dask) and working in cloud environments (e.g., AWS).
- Experience with collaborative software development using source control management (e.g., git, unit testing, code review, CI/CD).
- 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.
- Ability to work effectively in teams or independently.
- Strong work ethic with a bias for execution and an ability to manage multiple priorities, ambiguity, and tight timelines.
- Experience with electronic health records and omics data preferred.
- Familiarity with the drug discovery and development process preferred.
- New York Base Salary: $163,616 to $193,199
- San Francisco Base Salary: $172,750 to $200,000
- New York Base Salary: $192,780 to $214,095
- San Francisco Base Salary: $200,000 to $250,000
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Senior Scientist or Staff Data Scientist, Machine Learning - Boston, MA, United States - Valo Health
Description
Location: Boston, San Francisco, New York, or Remote USA
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. We are a multi-disciplinary team of experts in science, technology, and pharmaceuticals united in our mission to achieve better drugs for patients faster. Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We achieve the widest-ranging impact when we leverage our broad backgrounds and perspectives to accelerate a new frontier in health. Valo seeks to become the catalyst for the pharmaceutical industry and drive the digital transformation of the industry. Are you ready to join us? About The Role As a Senior 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. As part of the Translational Data Science team, you will help design, develop, and apply machine learning (ML) models, methods, and pipelines for scientific problems involving clinical and biomedical data. Successful candidates will work with a diverse set of data scientists, biological scientists, epidemiologists, and software engineers in ways that cut across traditional industry boundaries. What You'll Do...
Senior Scientist or Staff Data Scientist, Machine Learning professionals in Boston
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Ayan Ashkenov
M.S. Student at Boston University
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Ajay Deshpande
Data Scientist
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Pavan Reddy Mogili
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Abhishek Jaiswal
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Christian Peters
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