POSITION SUMMARY

The Deputy Director, Research Informatics and Data Science plays a critical leadership role within the ASH Research Collaborative (ASH RC) Data Hub, a national real-world data program utilizing observational health data to advance research in hematologic conditions. This role leads the development and implementation of data infrastructure and informatics strategies that support data acquisition, integration, quality improvement, analytics, and research enablement.

The Deputy Director is responsible for ensuring that data collected from electronic health records (EHRs), electronic case report forms (eCRFs), and other sources are of high-quality and usable for clinical research, quality improvement, and real-world evidence generation. This includes oversight of data pipelines, digital tool development, vendor coordination, and collaborative efforts with research and clinical teams. This position requires a strong understanding of healthcare data standards, data quality frameworks, and the ability to build scalable data infrastructure in support of ASH RC’s scientific mission.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Product Development

Define project requirements and communicate them to third-party vendors, ensuring work products meet specifications.
Oversee software development lifecycle, including initiation, requirements, design, testing, and implementation.
Ensure product development projects are executed on time, within scope, and within budget.
Collaborate with ASH RC staff and member leaders to design technical strategies aligned with clinical and research needs.

Data Acquisition & Data Quality

Manage and monitor EHR and eCRF data acquisition conducted by third-party vendors, ensuring data completeness, consistency, and compliance.
Lead data warehousing and analytics initiatives using standards such as HL7 FHIR and OMOP CDM.
Develop technical guidance to support data submission, interpretation, and reporting via dashboards and data quality reports.
Create strategies to capture and integrate patient-reported outcomes.
Lead the implementation of targeted data quality assessment and improvement projects:
- Identify data quality gaps and design remediation plans.
- Implement quality frameworks and SOPs across submitted data.
- Align with clinical and research teams to ensure data is research-grade.
- Track key performance indicators (KPIs) to measure and sustain data quality improvements.

Data Analytics

Prepares datasets for research and QA projects using large healthcare databases and medical coding terminologies (e.g., ICD-10, SNOMED, RxNorm, CPT, LOINC).
Partner with program leads to develop analytic tools for clinicians, researchers, and stakeholders.
Serve as a subject matter expert in data science, data transformation, visualization, and informatics solutions.

Research Platform Support

Ensure data systems and infrastructure meet the evolving needs of clinical and translational research.
Facilitate interoperability and harmonization across multi-source data to support prospective and retrospective studies.
Support internal and external research teams by providing access to research-ready data and tools.

Leadership and Collaboration

Lead and mentor staff and contractors, fostering a culture of accountability and collaboration.
Build strong relationships with ASH RC Program teams, scientific committees, and external partners.
Manage project timelines, budgets, and deliverables aligned with strategic goals.
Represent ASH RC in collaborative networks, conferences, and stakeholder engagements.

QUALIFICATIONS, KNOWLEDGE & SKILLS

Master’s or doctoral degree in health informatics, data science, computer science, or related field and 7 years of relevant experience.
Demonstrated leadership in managing complex data and informatics projects within healthcare, research, or life sciences sectors.
Strong knowledge of healthcare terminologies (ICD-10, SNOMED, RxNorm, LOINC, CPT/HCPCS).
Expertise in HL7 FHIR, USCDI, and OHDSI / OMOP CDM standards.
Experience leading data quality improvement initiatives across multisite programs.
Proficiency in SQL and relational databases.
Familiarity with Agile, Kanban, or Scrum methodologies and project management tools such as Jira and Git.
In-depth knowledge of HIPAA and data compliance standards.
Excellent communication, organizational, and team leadership skills.
Experience implementing clinical research informatics solutions and infrastructure.
Ability to design and communicate data quality frameworks.
Familiarity with literature and best practices in real-world data curation and research reproducibility.
Ability to manage competing priorities and deliver high-quality work in a fast-paced environment.
Experience with FDA, NIH, or life sciences research programs preferred.
Experience with data visualization and statistical tools (Tableau, Power BI, R, Python).
Contributions to peer-reviewed research or data platform development.

PHYSICAL REQUIREMENTS

Requires ability to speak audibly and listen actively.
Requires ability to use computers, telephones and other office equipment.
May require periodic out-of-town travel.

The American Society for Hematology (ASH) is dedicated to cultivating a workplace that prioritizes fairness, respect, and equal opportunity for all employees. We maintain a strict non-discrimination policy and are committed to treating each other with dignity, regardless of race, color, sex, religion, age, sexual orientation, gender identity or expression, national origin, disability, genetic information, pregnancy, veteran status, or any other characteristic that is protected by federal, state, or local laws. Our goal is to foster an inclusive environment where everyone can thrive, contribute, and achieve their full potential.

American Society Of Hematology

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Dep. Dir., Research Informatics & Data Sci.