Applied Data Scientist

February 25

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Grupo Protege

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Grupo Protege is an AI training data platform that connects AI developers with high-quality, ethically sourced training data. It serves both AI developers by providing a vast and rich collection of data for model training and data holders by enabling them to monetize their data while maintaining governance and control. The platform aims to streamline the data procurement process significantly, making it easier for developers to access the data they need efficiently.

Logística de Valores e Cargas • Segurança Patrimonial • Segurança Eletrônica • Formação de Profissionais de Segurança • Serviços Auxiliares de Transporte Aéreo

10,000+ employees

Founded 1971

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

📋 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, starting in the healthcare industry. • Summary: The Applied Data Scientist 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 and customer collaboration. • We are open to hiring individuals for full-time, part-time, or temp-to-hire roles. Part-time would require at least 20 hours per week. • Responsibilities: Data Analysis: 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). Privacy & Security: Assess privacy-preservation techniques to maximize dataset utility while ensuring compliance. Customer Collaboration: Work directly with prospective customers to understand their data requirements and help curate the best data assets for their use cases. Data Strategy: Identify gaps in our data offerings and provide insights to our partnerships team on the highest-priority data acquisitions. Data Quality Assurance: Evaluate potential data partnerships, ensuring the data is high-quality, well-documented, and commercially viable. • Technical Skill Set: Data Expertise: Experience working with healthcare/medical datasets: some combination of imaging, EHR, genomic, claims, and pathology data necessary. Longitudinal & Cohort Analysis: Ability to evaluate datasets for completeness over time, ensuring sufficient patient follow-up and retention for model training. Diversity & Bias Mitigation: Knowledge of techniques to assess and improve dataset diversity across demographics, geographies, and clinical subpopulations. Privacy-Preserving Technologies: Familiarity with de-identification techniques such as Safe Harbor and Expert Determination. • Qualifications: 2+ years experience in a health data role (e.g., biomedical informatics, computational biology, AI/ML in healthcare) or equivalent experience, e.g., Ph.D. or Masters in healthcare economics, statistics or data science with healthcare focus, etc. Excellent communication skills with the ability to translate complex data concepts. Proficiency in Snowflake, including writing complex queries and working with large datasets. Experience in a customer-facing role preferred.

🎯 Requirements

• 2+ years experience in a health data role (e.g., biomedical informatics, computational biology, AI/ML in healthcare) or equivalent experience, e.g., Ph.D. or Masters in healthcare economics, statistics or data science with healthcare focus, etc. • Excellent communication skills with the ability to translate complex data concepts • Proficiency in Snowflake, including writing complex queries and working with large datasets • Experience in a customer-facing role preferred