Data Core Manager / Hybrid - 137621

This position will work a hybrid schedule which includes a combination of working both onsite in La Jolla, CA and remote.

Applies skills as a seasoned, experienced data / information management professional with full understanding of industry practices and campus / medical center / OP and department methodologies, policies and procedures to resolve complex and wide ranging issues where analyses of situations or data requires a review of a variety of factors. Demonstrates competency in selecting methods and techniques to obtain solutions. Applies professional and broadly defined research analysis and data / information administration and data use concepts to manage and perform complex assignments. Build and maintain research databases including eCRFs, visit schedule development, edit check programming and modifications. Support eCRF library development using accepted standards. Liaison with SDSC to build system to meet user requirements.

Independently analyzes complex information requirements and documents them using formal data definition techniques and naming standards. Gathers, analyzes, prepares and summarizes information from subject matter experts and technical personnel. Researches relevant problem domain literature and information standards and develops recommendations for data management resource plans including approaches, trends, sources and uses. Schedule and lead eCRF design and review meetings. Import/load external data into clinical database and perform reconciliation.

Independently designs information transformation processes. Designs and implements capture of metadata from technical processes such as software design and database management. Performs complex data management or resource research and studies for a variety of constituents and plans metadata acquisition for sets of unstructured data objects such as collections of images or documents. Designs systems architecture, assess and implements reorganization and optimization plans, manages and oversees administration of systems. Creates standard format and naming conventions for data files and data structures. Oversee the data warehouse used to managelibraries of study data including image, source document and data files. Recognizes and highlights potential issues with current systems and processes and suggests potential improvements.

• Seven years of related experience, education/training, OR a Bachelor's degree in related area plus three years of related experience/training.

• Ability to prepare data models unassisted.

• Familiarity with data model patterns in one or more common business or academic domains.

• Familiarity with logical data design and data mapping or data conversion.

• Familiarity with data quality and governance issues and requirements.

• Ability to represent relevant information in abstract models.

• Thorough knowledge of data management systems, practices and standards.

• Thorough knowledge of relevant rules and regulations. Such as HIPAA compliance.

• Demonstrated ability to work with others from diverse backgrounds. Demonstrated effective communication and interpersonal skills. Demonstrated service orientation skills.

• Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization.

• Self-motivated and works independently and as part of a team.

• Demonstrated strong problem-solving skills. Able to learn effectively and meet deadlines.

• Strong organizational skills.

• Strong analytical and design skills, including the ability to abstract information requirements from real-world processes to understand information flows in computer systems.

• Ability to represent relevant information in abstract models. Critical thinking skills and attention to detail.

• Experience working with data and systems pertaining to research trials and the special considerations for data integrity trials is required.

• A minimum of 3-5 years of study base build working experience in a medical research setting.

• Experience working with data and systems pertaining to research trials and the special considerations for data integrity trials.

• Experience managing large, multi-site longitudinal data sets.

• Strong technical mastery (databases, coding, integration), regulatory and compliance expertise, data governance skills, and domain knowledge in ADRD research. Ability to bridge the gap between raw data collection and scientific analysis, ensuring data are high-quality, harmonized, and compliant with standard requirements.

• Experience with SQL (MySQL, PostgreSQL, Oracle, or MS SQL Server); Research Data Systems such as REDCap, LIMS (Laboratory Information Management Systems), XNAT (imaging), and specialized ADRC/NACC platforms; Programming / Scripting with proficiency in Python, R, or SAS for data cleaning, validation, and analysis pipelines; Data Integration: with experience managing multi-modal data (clinical, cognitive assessments, imaging, neuropathology, genetics, biospecimen tracking).

• Data Standards and Regulatory Compliance: NACC UDS familiarity (Uniform Data Set forms and longitudinal data standards required by ADRCs); NIH / NIA data sharing policies (e.g., uploading to NACC, GAAIN, AD Knowledge Portal); HIPAA compliance and PHI handling; Good Clinical Data Management Practices (GCDMP); Understanding of data dictionaries, metadata standards (CDISC, HL7, OMOP).

• Familiarity with clinical trial data, cognitive assessments (MMSE, MoCA, CDR, etc.), neuroimaging (MRI, PET), and neuropathology staging (Braak, Thal, CERAD); Understanding of longitudinal research challenges (attrition, missing data, variable follow-up schedules); Awareness of emerging biomarkers (fluid biomarkers, genetics, digital assessments).

• Employment is subject to a criminal background check.