Data Integration & Modeling Specialist

REMOTE OPPORTUNITY

Role Overview

• We are seeking an experienced professional to lead data linkage and modeling across diverse biomedical data sources, including imaging, omics, and clinical datasets.
• This role requires strong expertise in integrating heterogeneous data, understanding clinical study datasets, and leveraging cloud resources for scalable solutions.
• The ideal candidate will enable advanced analytics and AI/ML applications in precision medicine and clinical research.

Key Responsibilities

• Design and implement data linkage strategies between imaging, omics (genomics, proteomics), and clinical datasets.
• Develop robust data models to support multi-modal analytics and machine learning workflows.
• Ensure data harmonization and interoperability using industry standards (e.g., HL7, FHIR, DICOM).
• Interpret and structure clinical study datasets, including EHR, trial data, and regulatory-compliant formats.
• Collaborate with clinical teams to ensure accurate mapping of patient-level data across modalities.
• Utilize AWS resources (S3, RDS, Glue, Redshift, Lambda) for secure and scalable data processing.
• Design and optimize SQL queries for large-scale biomedical datasets.
• Implement ETL pipelines for data ingestion and transformation.
• Ensure adherence to Good Clinical Practices (Google Cloud Platform), HIPAA, and data privacy regulations.
• Maintain documentation for data integration workflows and validation processes.
• Work closely with bioinformaticians, data scientists, and imaging specialists to enable integrated analytics.
• Provide technical guidance on data architecture and modeling best practices.

Required Qualifications

• Master’s in Data Science, Computer Science, or related field.
• Proven experience in multi-modal data integration (imaging + omics + clinical).
• Strong knowledge of clinical study datasets and regulatory standards.
• Hands-on experience with AWS services and SQL for large-scale data management.
• Proficiency in Python/R for data processing and modeling.

Preferred Skills:

• Familiarity with AI/ML workflows and biomedical data pipelines.
• Experience with data standards (DICOM, HL7, FHIR, OMOP CDM).
• Knowledge of ETL tools and data governance frameworks.

Soft Skills:

• Excellent problem-solving and analytical skills.
• Strong communication and documentation abilities.
• Ability to work in cross-functional teams and manage complex projects.