Applied Healthcare Researcher

Job not on LinkedIn

🔥 1 hour ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Grupo Protege

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1971

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

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.

📋 Description

• Serve as the primary technical and research point of contact for healthcare customer conversations • Translate model-development goals into concrete, feasible healthcare data strategies • Help customers scope opportunities and identify high-value data • Explain data limitations, tradeoffs, and potential biases • Answer customers' research questions after data delivery • Develop and evaluate methods including fine-tuning, LLM-based extraction, classification, and rules-based approaches • Design and run pre-contract feasibility research • Build evidence through benchmarks, validation analyses, error characterization, and assessments of data limitations • Partner with the Assessments team on healthcare benchmarks across modalities • Evaluate requested variables, labels, and cohort definitions against available healthcare data • Identify proxy variables or alternative dataset structures • Analyze partner and source datasets for schema, field availability, quality, completeness, and transformations • Contribute to the company's perspective on valuable healthcare data by modality and model-development stage • Evaluate new data partners and datasets • Produce reusable research, evidence, and technical collateral • Identify repeatable workflows and work with Product and Engineering to operationalize them • Expand proven healthcare datasets across multiple customers • Work with Solutions and FDEs from the beginning of opportunities • Coordinate with Healthcare Data Partnerships, Product, and Engineering

🎯 Requirements

• Advanced degree (PhD or Master's plus 3+ years industry experience) in machine learning, computer science, biomedical informatics, epidemiology, statistics, or a related quantitative field — or equivalent applied experience • Hands-on experience building and evaluating ML or LLM-based systems for extraction, classification, or prediction on real-world data • Experience working with healthcare data such as claims, EMR/EHR, clinical notes, imaging, or registries • Strong Python and SQL, with ability to work independently against large datasets • Experience designing evaluations, including measuring data quality and dataset representativeness • Demonstrated ability to work directly with technical stakeholders and translate ambiguous goals into concrete, defensible research plans • Comfort operating on a customer's timeline without lowering research standards