Company Name: Protege

Job Details: Be,an,Early,Applicant,Hiring,Remotely,in,USA,Remote,Mid,level

Job Url: https://builtin.com/job/applied-researcher/6504142

Job Description: Company Overview:We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data, now operating in the healthcare and media industries. Solving AI's data problem is a generational opportunity. The company that succeeds will be one of the largest in AI — and in tech.Role OverviewThe Applied Researcher bridges the gap between our data assets and our customers' needs in our healthcare vertical. They play a key role in ensuring our datasets are well-matched to the AI models our customers are building and well-understood by those customers. This role requires both healthcare data expertise, extensive experience with statistical analysis, and some customer collaboration.Key ResponsibilitiesConduct 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.About YouYou are curious, tenacious, and proactive.You are not bothered by ambiguity but embrace finding patterns in complex environments.PhD or MS/BS + industry experience in a quantitative field such as economics, statistics, biostatistics, bioinformatics, computer science, or data scienceProficiency with programming in R/Python/SQLHands-on experience working with large-scale healthcare datasets, including one or more of the following: imaging, EHR, genomics, claims, or pathology dataTeam-player, no job is too big or too smallYou are an eager scientist and you are not afraid to learn or face a knowledge pit.You treat those around you with kindnessBonus if you have these attributesExperience in a customer facing roleExperience with data optimization techniques such as model-based filtering, multimodal data integration, heuristic filtering, and/or target distribution matchingExperience 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