Senior Data Engineer, Health & Bioinformatics

Posted 1 day agoViewed

💎 Seniority level: Senior, 7+ years

🔍 Industry: Health & Bioinformatics

🏢 Company: Gradient AI👥 101-250💰 $20,000,000 Series B about 4 years agoArtificial Intelligence (AI)Machine Learning InsurTech Insurance Health Care

⏳ Experience: 7+ years

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.

Responsibilities:

Design, build, and implement data systems to support ML and AI models for our health insurance clients, ensuring strict compliance with healthcare data privacy and security regulations (e.g., HIPAA).

Develop tools for extracting, processing, and profiling diverse healthcare data sources, including EHRs, medical claims, pharmacy data, and genomic data.

Collaborate with data scientists to transform large volumes of health-related and bioinformatics data into modeling-ready formats, prioritizing data quality, integrity, and reliability in healthcare applications.

Build and maintain infrastructure for the extraction, transformation, and loading (ETL) of data from a variety of sources using SQL, AWS, and healthcare-specific big data technologies and analytics platforms.

Apply health and bioinformatics subject matter expertise to ensure data pipelines meet the unique requirements of health, medical, and bioinformatics data processing - including translating complex medical and biological concepts into actionable data requirements.

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