Data Scientist
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Job Description
Data Scientist at Protege bridging healthcare data and customer needs. Collaborating with customers to ensure data alignment with AI models in the healthcare vertical.
Responsibilities:
- Conduct feasibility analyses by querying healthcare datasets to assess patient cohort availability based on complex inclusion/exclusion criteria (i.e. procedures, diagnoses, diversity, longitudinal completeness, regulatory constraints)
- Collaborate directly with customers to understand their use cases and support effective data integration
- Ensure customers have a clear understanding of the data’s structure, limitations, and strengths
- Identify gaps in our data offerings and provide insights to our partnerships team on the highest-priority data acquisitions
- Evaluate potential data partnerships, ensuring the data is high-quality, well-documented, and commercially viable
Requirements:
- Undergraduate or MS/BS + industry experience in a quantitative field such as mathematics, economics, statistics, biostatistics, bioinformatics, computer science, or data science
- Proficiency with programming in R/Python/SQL
- Hands-on experience working with large-scale healthcare datasets, including one or more of the following: imaging, EHR, genomics, claims, or pathology data
- Team-player, no job is too big or too small
- You are an eager researcher and you are not afraid to learn or face a knowledge pit.
- You treat those around you with kindness
- Bonus if you have these attributes:
- Experience in a customer facing role
- Experience with data optimization techniques such as model-based filtering, multimodal data integration, heuristic filtering, and/or target distribution matching
- Experience applying machine learning or logistic regression techniques to healthcare data
- Familiarity with third-party data certification or audit processes related to privacy and data quality
- Ability to think creatively and insightfully about large scale data problems
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