Senior Manager / Lead Data Scientist

About the job

Position Overview We are seeking an accomplished Senior Manager / Lead Data Scientist to lead a high-performing team of data scientists and engineers focused on clinical data standardization, ETL workflows, and regulatory-ready data products. This leadership role requires deep expertise in CDISC standards (SDTM, ADaM, TLFs), OMOP Common Data Model, and genomic variant data, combined with proven ability to guide technical teams, architect scalable ETL pipelines, and ensure regulatory compliance across real-world data (RWD), EHR systems, and clinical trial datasets. Key Responsibilities Leadership & Strategy · Lead, mentor, and develop a team of data scientists, data engineers, and analysts working on clinical data standardization and ETL workflows · Define and execute the technical roadmap for OMOP and CDISC-compliant data pipelines, ensuring alignment with business objectives and regulatory requirements · Foster a culture of technical excellence, continuous improvement, and collaborative problem-solving across multidisciplinary teams Technical Architecture & Delivery · Design and oversee end-to-end ETL architectures for converting heterogeneous clinical, EHR, and real-world data sources into OMOP CDM, SDTM, ADaM, and TLF formats Regulatory & Compliance · Serve as the subject matter expert for regulatory submission-ready datasets, ensuring timely and accurate delivery of SDTM/ADaM/TLFs to FDA, EMA, and PMDA Genomic & Variant Data Specialization · Lead initiatives for curating, harmonizing, and annotating genomic variant datasets from public and proprietary sources Stakeholder Engagement · Act as the primary liaison between technical teams, clinical operations, statistical programming, and external partners on data standards and interoperability.

Requirements

• CDISC standards
• ETL
• Python
• R
• SQL

Qualifications

• Ph.D. in Bioinformatics
• Health Informatics
• Computational Biology
• Genomics
• Biomedical Engineering
• Clinical Data Science

Preferred Technologies

• CDISC standards
• ETL
• Python
• R
• SQL

About the company

Molecular Connections is focused on aiding clinical data standardization and regulatory-ready data products, particularly in genetic and clinical data operations.