American Society of Hematology · 2 hours ago
Senior Manager, Healthcare Data Engineering
Washington, DC
Full-time
Hybrid
Senior Level
$116K/yr - $144K/yr
7+ years expThe American Society of Hematology is dedicated to improving the understanding, diagnosis, treatment, and prevention of hematologic diseases. They are seeking a Senior Manager, Healthcare Data Engineering to design and implement scalable clinical data management solutions. This role involves building a robust data infrastructure and driving data-driven insights to support large-scale clinical datasets and research initiatives.
Health CareNon Profit
Hiring Manager
Susan Colvard, CIR, CDR, CASR
Responsibilities
Collaborate with vendors to design, develop, and implement scalable data pipelines for efficient ingestion, transformation, storage, and retrieval of structured and unstructured healthcare data from various sources
Develop and optimize OMOP Common Data Model (OMOP CDM) and data dictionaries to support research and clinical applications, ensuring seamless integration of high-throughput clinical datasets, as developed by the Observational Health Data Sciences and Informatics (OHDSI) community
Implement ETL processes to prepare datasets for statistical modeling, predictive analytics, and data science
Automate and enhance data processing workflows to improve the efficiency and reproducibility of data transformations
Optimize performance for large-scale data retrieval, indexing, and queries to ensure reliable access to dataset
Monitor and enhance security, logging, and auditing mechanisms to ensure regulatory compliance for clinical data
Develop metadata management systems to enhance data discoverability and accessibility for researchers
Stay informed on emerging data engineering, informatics, and machine learning technologies, incorporating best practices into new data strategies and initiatives
Explore and implement innovative data-driven solutions and industry standards (GitHub, Bugzilla)
Conduct data cleaning, validation, and quality assurance, including exploratory data analysis (EDA), to identify and resolve data quality and integrity issues
Develop automated data quality monitoring pipeline to track completeness, consistency, and accuracy of incoming data mart clinical datasets
Collaborate and work closely with provider sites and data vendors to ensure compliance with data governance standards and resolve discrepancies
Establish data validation rules, anomaly detection methods, and quality control metrics to maintain high-quality clinical data for research and analytics
Document data lineage, transformations, and quality assessments to ensure reproducibility
Support research and quality assurance projects utilizing large healthcare databases using knowledge of relational databases and medical coding terminologies including, but not limited to CPT, ICD-10, SNOMED, RxNorm, CPT/HCPCS, and LOINC
Support ASH RC multicenter research studies by administrating and developing REDCap Cloud research databases, and datasets that support reporting and analytics as needed
Manage Data Hub data delivery timelines to ensure deliverables align with project milestones, priority targets, and work planned with vendors and other stakeholders
Communicate and clarify complex reports and analyses with the appropriate project stakeholders
Support all study/projects by utilizing a working knowledge of the FHIR interoperability and OMOP standards
Submit to the Senior Director of the Data Hub for review and approval, all research data-related timelines and projected level of effort
Work closely with cross-functional ASH RC teams/staff, including, ASH RC contractors, external consultants, research scientists, medical doctors and researchers, data scientists, bioinformaticians, and software engineers, to develop scalable and reusable clinical data solutions to achieve shared goals
Monitor projects, track progress, and report on deliverables to meet program milestones, targets, and goals
Guide study data management best practices
Foster a data-driven culture within the organization
Qualification
Required
Master's degree in computer science, Data Science, Bioinformatics, or a related field; or a Bachelor's degree with directly relevant experience
7+ years of hands-on relevant experience in healthcare and clinical data analysis, database administration, data engineering, or software engineering
Strong knowledge of healthcare terminologies, ICD-10, SNOMED, RxNorm, CPT/HCPCS, LOINC, and Athena
Familiarity with the HL7 FHIR, USCDI standards, and OHDSI OMOP CDM database and terminology standards
Experience with data frameworks and cloud platforms (e.g., AWS, Azure, GCP)
Experience with data visualization tools (e.g., Tableau, Power BI)
Familiarity with cloud platforms data warehousing and data lake architectures
Experience with database management and administration (e.g., Oracle, Microsoft SQL Server)
Working knowledge of relational database design and analysis, including expert knowledge of developing queries using SQL, R, Python, SAS, etc
Experience managing data for health-related organizations, including FDA, NIH, and the life science industry
Strong problem-solving and analytical skills and able to tackle complex data challenges
Excellent verbal and written communication skills, to convey technical concepts to diverse audiences
Strong collaboration skills to engage with stakeholders across disciplines
Ability to work both independently and in a team environment
Preferred
Work experience in the hematology field preferred
Work experience with real world data clinical registries
Experience with Salesforce contact management database software is a plus
Prior experience in a not-for-profit environment and working with people in various healthcare professions
Company
American Society of Hematology
Provides educational materials for scientists, doctors, and patients.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
D
Dennis M. Sawyers
Chief Human Resources Officer
K
Karina Fernandez
Chief Information Officer
Recent News
2025-12-06
2025-12-06
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