Data Solutions Lead

Responsibilities:

• Industry Focus: Develop and deliver data solutions tailored for the Healthcare and Life Sciences (HCLS) industry, addressing clinical, operational, and compliance requirements.
• Data Platform Design: Architect scalable data ecosystems supporting patient data, drug discovery, and healthcare analytics.
• AI/ML Integration: Leverage predictive analytics and machine learning for personalized healthcare, risk assessment, and operational optimization.
• Regulatory Compliance: Ensure solutions comply with industry standards (e.g., HIPAA, HL7, FHIR) and maintain robust governance frameworks.
• Stakeholder Engagement: Work closely with healthcare clients to identify pain points and align solutions with their strategic goals.

Technical Competencies:

• Expertise in healthcare data standards (e.g., HL7, FHIR, ICD) and analytics platforms.
• Proficiency in tools like Databricks, Snowflake, and cloud AI/ML platforms.
• Strong understanding of EDA, data pipelines, and AI-driven insights for HCLS use cases.

Qualifications:

Must Have:

• Bachelors degree in Data Science, Engineering, or Healthcare IT.
• 10+ years in data engineering, with 5+ years focused on HCLS solutions.

Nice to Have/Preferred:

• Certifications in healthcare analytics or data engineering.
• Knowledge of real-world evidence (RWE) and bioinformatics.