Senior Data Linkage Lead – Real-World Data

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

None

Job Family:

Science and Research

Job Qualifications:

Skills:

Clinical Care, Clinical Data, Clinical Studies, Link Analysis, Record Linkage

Certifications:

None

Experience:

5 + years of related experience

US Citizenship Required:

No

Job Description:

GDIT is seeking an experienced Data Linkage Lead for upcoming opportunities to support real-world data initiatives, with a focus on large-scale data and privacy-preserving record linkage across claims, clinical, and other real-world data sources. In this role, you will be responsible for the design and execution of linkage strategies, automation, and PPRL methods, and ensure that research datasets are delivered securely and compliantly within secure enclaves and related real-world data platforms.  

HOW WILL SENIOR DATA LEAD-REAL WORLD DATA MAKE AN IMPACT:

• Lead the design, implementation, and continuous improvement of data linkage workflows that integrate multiple real-world data sources to create deidentified research datasets. 

• Direct the use of identifiers, PPRL, and related methods to enable high-quality linkage while protecting privacy, including the design of masking, tokenization, and de-identification strategies that meet applicable policies. 

• Develop, validate, and document linkage algorithms and workflows, including scoring and quality assessment methods, to support repeatable and automatable data linkage across diverse data sources. 

• Advance Linkage Technology by prototyping and productizing automation, and AI/ML methods 

• Oversee access to multiple data sources under DUAs, maintain an inventory of sources and linkage activities, and ensure full compliance with data use, security, and privacy requirements. 

• Produce and maintain technical documentation, standard operating procedures, and guidance on linkage and PPRL methods, including clear descriptions of assumptions, limitations, and quality metrics. 

• Work closely with data architects, enclave engineers, and program operations teams to create linkage outputs that are structured, stored, and delivered in a manner that supports efficient, reproducible analytics and researcher workflows. 

• Provide expert technical assistance and training for researchers and associated staff on topics such as linkage design, data preparation for linkage, appropriate use of linked datasets, and interpretation of linkage quality. 

• Support the growth of the FedHealth division by developing and maintaining high quality relationships with customers and partners, ensuring alignment with the National Institutes of Health's strategic direction. 

 

WHAT YOU’LL NEED TO SUCCEED: 

• Master’s degree in a relevant field or equivalent combination of education and experience. 

• Minimum of 5 years of experience leading and implementing large-scale data linkage projects involving health-related real-world data in federal, research, or healthcare environments.  

• Practical expertise in probabilistic and deterministic record linkage methods, including the design of matching rules, use of identifiers and tokens, and evaluation of linkage quality. 

• Hands-on experience with privacy-preserving record linkage, encryption or tokenization approaches, and de-identification strategies suitable for regulated health and administrative data. 

• Excellent communication and collaboration skills, with a track record of working effectively with senior leadership as well as multidisciplinary technical and scientific teams in government, research, or healthcare settings. 

• Security Clearance: Able to obtain and maintain a Government Public Trust or higher.

• Location: Hybrid /Washington, DC metropolitan area preferred to support on-site collaboration with federal customers and other partners.

 

PREFERRED: 

• Advanced degree in a relevant field (PhD, MD, or equivalent). 

• 8+ years of experience leading and implementing large-scale data linkage projects involving health-related real-world data in federal, research, or healthcare environments. 

• Familiarity with interoperability and research standards and their application to real-world data. 

• Proven ability to interpret, implement, and automate data use constraints from DUAs, ethics and privacy reviews, and licensing agreements into technical designs, including access controls, retention, de-identification, and export rules. 

• Experience with automated or AI/ML-assisted linkage and data quality methods, including design of validation studies and quality monitoring. 

GDIT IS YOUR PLACE:

• At GDIT, the mission is our purpose, and our people are at the center of everything we do.

• Growth: AI-powered career tool that identifies career steps and learning opportunities

• Support: An internal mobility team focused on helping you achieve your career goals

• Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off

• Flexibility: Full-flex work week to own your priorities at work and at home

• Community: Award-winning culture of innovation and a military-friendly workplace

The likely salary range for this position is $198,050 - $267,950. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

10-25%

Telecommuting Options:

Hybrid

Work Location:

Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans