Syneos Health · 9 hours ago
Sr. Biometrics Data Engineer
Syneos Health® is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. They are seeking a Sr. Biometrics Data Engineer to act as a hands-on technical lead, defining architecture and implementing scalable ETL pipelines and data structures while managing complex datasets for the Translational Data Lake.
BiotechnologyHealthcarePharmaceuticalHealth CareTherapeutics
Responsibilities
Act as a hands-on technical lead who not only defines the architecture but also codes, deploys, and maintains scalable ETL pipelines and data structures
Spearhead the technical implementation of the Translational Data Lake data ingestion, managing the ingestion of complex datasets (genomics, proteomics, imaging, lab data, etc.) into modern cloud architectures
Broader Research Integration: Lead data engineering projects beyond the Data Lake, designing bespoke integration solutions for diverse scientific data sources across the Research organization
Data Transformation: Design and script automated procedures to normalize unformatted data from external vendors (CROs) into a structured Common Data Model (CDM)
Technical Collaboration: Partner with various functions in Research and IT to align infrastructure with scientific needs, ensuring solutions are robust, FAIR-compliant, and scalable
Develop and communicate the technical vision for biomarker data integration and reuse
Architect and implement scalable ETL procedures, APIs and front-end tools for data access and visualization
Engage stakeholders to gather requirements and incorporate feedback into design
Lead user acceptance testing (UAT) and ensure high-quality deliverables
Collaborate with IT and Translational leads to align infrastructure and governance processes
Champion FAIR principles and interoperability across translational and clinical programs
Qualification
Required
Education: Bachelor's or master's degree in computer science, Data Engineering, Bioinformatics, or related field
Experience: 8+ years of professional experience in data engineering or software architecture, with a focus on building production-grade data pipelines
Expert-level coding proficiency in Python with specific mastery of modern data engineering libraries (Pandas, PySpark, Dask, SQLAlchemy)
Advanced proficiency with SQL, workflow orchestration tools (Airflow, Dagster, or Prefect), and containerization (Docker/Kubernetes)
Cloud Architecture: Deep experience with modern Data Lake and Lakehouse architectures (e.g., Azure Fabric, Databricks, Snowflake), with a proven track record of connecting and integrating disparate data sources
Data Modeling: Solid understanding of data modeling, ETL processes, and schema design for complex datasets
API Development: Experience designing and deploying APIs for data access
Excellent communication skills to bridge the gap between IT infrastructure and scientific stakeholders
Familiarity with FAIR principles and metadata standards for scientific data
Excellent communication and collaboration skills
Preferred
Familiarity with clinical data standards including SDTM, ADaM, and CDISC, and biomarker data formats (NGS variant results, flow cytometry, serum proteomics, gene expression profiling)
Direct experience with Azure Fabric tools for connecting and integrating data sources
Proficiency in R for interoperability with bioinformatics teams
Benefits
Company car or car allowance
Health benefits to include Medical, Dental and Vision
Company match 401k
Eligibility to participate in Employee Stock Purchase Plan
Eligibility to earn commissions/bonus based on company and individual performance
Flexible paid time off (PTO) and sick time
Company
Syneos Health
Syneos Health, the only fully integrated end-to-end clinical and commercial solution organization.
H1B Sponsorship
Syneos Health has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (35)
2024 (26)
2023 (49)
2022 (63)
2021 (84)
2020 (63)
Funding
Current Stage
Public CompanyTotal Funding
$524.65M2023-09-28Private Equity
2023-05-10Acquired
2021-03-01Post Ipo Secondary· $524.65M
Leadership Team
Recent News
2026-01-09
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