Research Database Developer

Cape Fox is seeking a highly qualified Research Database Developer to join our team in support of a government customer. Candidates should have a strong foundation in computer science, health informatics, or related fields, with at least three years of experience in database development and management within clinical research settings. We look for proficiency in SQL, Visual Basic, PERL, JavaScript, and C#, and hands‑on experience with REDCap, Medidata Rave, Microsoft Access, and SQL‑based systems.

A thorough understanding of data integrity, secure data handling, and Good Clinical Practice (GCP) is essential. Candidates should possess exceptional organizational, analytical, and communication skills. Advanced degrees or certifications and experience supporting military medical research are preferred.

The salary range for this exempt position is: $90,000 - $120,000
. We also offer company holidays, paid time off, health insurance, dental insurance, vision insurance, life and disability insurance, tuition reimbursement, and a 401(k) with company matches.

• Databases, applications, data systems, and data integrity processes shall be developed and maintained with high accuracy and integrity.
• Development, integration, and maintenance tasks shall be completed within specified time frames.
• All data management practices shall comply with GCP guidelines and relevant regulatory standards.
• Regular audits shall demonstrate a high level of data integrity and accuracy.

• Develop, design, and maintain research data systems, including databases and applications.
• Implement and manage REDCap applications and online databases.
• Create and manage Microsoft Access and SQL databases for research data collection.
• Design, develop, and maintain clinical databases and data collection systems.
• Implement and manage electronic data capture (EDC) systems such as Medidata Rave.
• Develop, design, and maintain databases for research data collection and integration.

• Ensure data integrity and accessibility by creating, coding, and maintaining databases.
• Conduct regular audits to verify the accuracy and completeness of data.
• Implement data management best practices to ensure efficient and secure data handling.
• Design and implement data integration strategies to provide seamless data flow across various systems.
• Perform data mapping, transformation, and data cleansing activities.
• Monitor data flow between databases, servers, and cloud services to ensure efficient data integration.
• Utilize and manage research databases such as REDCap to collect, store, and analyze research data.

• Apply knowledge of medical research methods to support various research projects.
• Collaborate with researchers to understand their data needs and provide appropriate database solutions.
• Apply knowledge of clinical research methods to support various clinical trials and research projects.
• Collaborate with clinical researchers to provide appropriate data management solutions.
• Apply knowledge of research methods to support various research projects.

• Download, convert, and manage data files from medical devices, ensuring accurate and efficient data processing.
• Integrate medical device data into research databases for analysis.

• Create and manage virtual desktops to support research activities.
• Ensure virtual desktop environments are secure and optimized for performance.

• Develop and maintain databases using Visual Basic, Visual Basic for Applications, SQL, and PERL.
• Write and optimize scripts for data extraction, transformation, and loading (ETL) processes.
• Develop and maintain data systems using SQL, JavaScript, and C#.

• Generate comprehensive reports based on clinical, medical, and integrated research data for healthcare professionals, researchers, and administrators.
• Analyze the data to identify trends, discrepancies, and areas for improvement.

• Ensure all data management practices comply with GCP guidelines and relevant regulatory standards while implementing security measures to protect sensitive research and clinical data.

• Provide training and support to clinical and research staff on database usage, data management, and data integration practices and systems while troubleshooting and resolving database and data integration‑related issues as they arise.

• Perform thorough data cleaning and validation to ensure data accuracy and develop and maintain data management plans and standard operating procedures (SOPs).