Senior Data Engineer - Health & Bioinformatics

May 22

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Gradient AI

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Gradient AI is a leading provider of artificial intelligence solutions tailored for the insurance industry. Specializing in underwriting and claims management, the company enhances the precision of risk assessment, expedites quote turnaround times, and reduces claim expenses through intelligent automation. Gradient AI serves various sectors within insurance, including group health, property and casualty (P&C), and workers' compensation. Its solutions leverage extensive datasets and AI technology to provide insurers with deeper insights, facilitating more informed decision-making and increasing profitability. The company's innovative approach is aimed at driving efficiency and cost savings across underwriting and claims processes.

Artificial Intelligence • Machine Learning • Insurance • Predictive Analytics • Risk Ranking Solutions

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

💰 $20M Series B on 2021-04

📋 Description

• We are seeking a Senior Data Engineer with a deep understanding of healthcare data, including claims, clinical, patient-reported outcomes data, or bioinformatics, to design, build, and manage data pipelines for our health insurance clients. • The ideal candidate is a lifelong learner with a proven ability to interpret complex health-related datasets. • This role requires an expert in using Airflow to orchestrate ETL pipelines, ensuring the efficient, reliable movement of healthcare data across systems. • A subject matter expert (SME) in health and bioinformatics data is essential for success in this role.

🎯 Requirements

• BS in Computer Science, Bioinformatics, or another quantitative discipline with 7+ years working with and interpreting health, medical, and bioinformatics data, including real-world healthcare datasets. • Subject matter expertise (SME) in health and bioinformatics data, with a strong grasp of the complexities and challenges of processing medical and biological information. • Knowledge of healthcare data standards (e.g., FHIR, HL7) and a solid understanding of healthcare data privacy and security regulations (such as HIPAA) are highly desirable. • Proficiency in Python and SQL within a professional environment. • Hands-on knowledge of big data tools like Apache Spark (PySpark), DataBricks, Snowflake, or similar platforms. • Skilled in using data orchestration frameworks such as Airflow, Dagster, or Prefect. • Comfortable working within cloud computing environments, preferably AWS, along with Linux systems. • Ability to work with and visualize health and/or medical data, with Insurtech industry exposure, is considered a plus.

🏖️ Benefits

• A fun, team-oriented startup culture. • Generous stock options - we all get to own a piece of what we’re building. • Unlimited vacation days. • Flexible schedule that supports working from home. • Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more. • Ample opportunities to learn and take on new responsibilities.