Associate Director, Clinical Informatics and Data Science, AACR Project GENIE

American Association for Cancer Research•Philadelphia, PA

4h•Remote

About The Position

The Associate Director, Clinical Informatics & Data Science, will play a critical role in managing and integrating clinical and genomic data for AACR Project GENIE, ensuring data harmonization and compliance with industry standards. This role will oversee the development and optimization of data pipelines, facilitate collaborations with participating cancer centers, and drive data quality initiatives. The ideal candidate will bridge the gap between technical data requirements and clinical research needs, supporting Project GENIE and its mission to advance precision oncology and cancer research through high-quality real-world data.

Requirements

Bachelor’s degree in Health Informatics, Clinical Informatics, Biomedical Sciences, or a related field is required.
Minimum of 5-7 years in clinical data informatics, oncology research, or healthcare data management.
2–3 years of team management experience required.
Experience working with oncology datasets required.
Proficiency with data integration tools and platforms (e.g., ETL processes, APIs, databases).
Knowledge of programming languages or tools commonly used in data analysis and integration (e.g., Python, R, SQL).
Familiarity with cloud-based data environments (e.g., AWS, Google Cloud, or Azure).
High proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook, Teams).
Strong understanding of data interoperability standards (e.g., FHIR, HL7, OMOP, CDISC).
Knowledge of regulatory frameworks such as HIPAA, GDPR, and GCP.
Demonstrated ability to interpret and analyze complex clinical and genomic datasets.
Proficiency in designing and implementing QA/QC processes to ensure data quality and consistency.
Experience in translating data workflow insights and/or data analyses into actionable recommendations.
Excellent verbal and written communication skills, with the ability to engage multi-disciplinary stakeholders with varying levels of expertise.
Proven ability to work collaboratively in cross-functional teams.
Strong organizational and project management skills, with attention to detail and deadlines.

Nice To Haves

Advanced degree (Master’s or Ph.D.) in a relevant field is preferred.
Experience with real-world data (RWD) highly desirable.
Familiarity with cancer genomics repositories and/or cancer registries highly desirable.
Certification in Clinical Informatics, Health Informatics, or a related field (e.g., from AMIA or HIMSS).
Prior experience working in an academic medical center.
Proficiency in working with real-world datasets.

Responsibilities

Liaise with multidisciplinary teams to ensure seamless data flow, integration, and alignment with project goals.
Lead the design, implementation, and maintenance of data pipelines for aggregating clinical and genomic data from multiple cancer centers into a centralized registry.
Oversee the data collection and harmonization processes, ensuring compliance with appropriate existing industry data standards (e.g., FHIR, HL7, NAACCR).
Collaboratively develop and deploy quality assurance (QA) and quality control (QC) measures to maintain data integrity and reliability.
Oversee strategic guidance on data elements, methods, and models required for clinical and research objectives, and facilitate the identification and extraction of these elements from the EHR and data warehouse systems.
Work collaboratively with participating sites to address data quality and control issues, facilitate data submissions, and provide ongoing technical support.
Monitor emerging trends and developments in real-world clinico-omic data informatics, and provide strategic recommendations on technologies and processes to optimize and advance the Project GENIE data ecosystem.
Prepare and present data insights, integration strategies, and progress reports to internal and external stakeholders.
Train and mentor staff on clinical data workflow processes, good practices, and standards.
Manage an expanding team with varied expertise within the Clinical Informatics and Data Sciences Group.
Contribute to publications, presentations, and proposals that highlight the utility of GENIE data and its advancements in data integration and precision oncology.
Occasional travel required.
Other duties as assigned.