Senior/Principal Clinical Database Manager
📍 Job Overview
- Job Title: Senior/Principal Clinical Database Manager
- Company: Precision for Medicine
- Location: Remote (UK, Spain, Hungary, Poland, Romania, Serbia, Slovakia)
- Job Type: Full-Time
- Category: Clinical Data Management
- Date Posted: 2025-08-01
- Experience Level: 5-10 years
- Remote Status: Remote Solely
🚀 Role Summary
- Lead the design, development, testing, implementation, maintenance, and support of clinical databases and applications.
- Collaborate with internal teams, clients, and vendors to gather requirements and provide status updates.
- Provide operational and technical training to end users and junior staff.
- Play a lead role in internal software projects requiring specialized programming and/or scripting.
- Demonstrate strong leadership, interpersonal, and communication skills.
- Show proficiency in Microsoft Office, programming languages, and understanding of CDISC standards.
📝 Enhancement Note: This role requires a strong background in clinical data management, programming, and communication skills to manage complex clinical databases and collaborate effectively with various stakeholders.
💻 Primary Responsibilities
- Database Management: Design, develop, test, implement, maintain, and support clinical databases and applications.
- Stakeholder Communication: Interface directly with internal teams, clients, and vendors to gather requirements and provide status updates.
- Training: Provide operational and technical training to end users and junior staff.
- Project Leadership: Play a lead role in internal software projects requiring specialized programming and/or scripting.
- Team Collaboration: Work effectively with cross-functional teams, including data management, project management, and other internal teams.
- Problem-Solving: Troubleshoot and resolve technical issues related to clinical databases and applications.
📝 Enhancement Note: This role involves a high level of technical responsibility, requiring the ability to manage complex projects, collaborate with diverse teams, and make critical decisions related to clinical data management.
🎓 Skills & Qualifications
Education: Bachelor's degree in a relevant field or a combination of related experience.
Experience: 5-10 years of experience in developing and customizing clinical data management databases in a clinical, scientific, or health care discipline.
Required Skills:
- Proficiency in Microsoft Office: Word, Excel, PowerPoint, Outlook.
- Experience in Object-Oriented Programming (C#, C++, VBS, etc.), scripting language (PERL, etc.), SAS, R, SQL.
- Understanding of CDISC standards (CDASH, SDTM, ADaM, etc.).
- Experience in clinical database management system development.
- Experience in a clinical, scientific, or healthcare discipline.
- Experience in utilizing various clinical database management systems.
- Broad knowledge of drug, device, and/or biologic development and effective data management practices.
- Strong leadership and interpersonal skills.
- Excellent organizational and communication skills.
- Professional use of the English language, both written and oral.
Preferred Skills:
- Oncology and/or orphan drug therapeutic experience.
- Base SAS®, SAS/STAT and SAS/ACCESS software.
- SAS Macro programming language.
- Advanced experience in Database Management, object-oriented programming.
- Veeva set up experience.
📝 Enhancement Note: While the preferred skills are not required, they would be beneficial for candidates seeking to advance their careers in clinical data management or specialize in specific therapeutic areas.
📊 Web Portfolio & Project Requirements
Portfolio Essentials:
- Demonstrate experience in developing and customizing clinical data management databases.
- Showcase proficiency in programming languages, scripting, and data management tools.
- Highlight projects that showcase problem-solving skills, leadership, and collaboration with diverse teams.
- Include case studies that illustrate the impact of your work on clinical trials, drug development, or healthcare outcomes.
Technical Documentation:
- Provide clear and concise documentation of your projects, including data management plans, database schemas, and code comments.
- Include any relevant certifications or training that demonstrate your expertise in clinical data management.
- Highlight any publications, presentations, or awards that showcase your contributions to the field.
📝 Enhancement Note: A strong portfolio will demonstrate your technical skills, problem-solving abilities, and ability to collaborate effectively with cross-functional teams. It should also showcase your understanding of CDISC standards and effective data management practices.
💵 Compensation & Benefits
Salary Range: The salary range for this position is estimated to be between £60,000 and £80,000 per annum, depending on experience and location. This estimate is based on market research for clinical data management roles in the United Kingdom and Europe.
Benefits:
- Competitive salary and benefits package.
- Opportunities for professional development and career growth.
- A dynamic and collaborative work environment.
- The chance to work on cutting-edge clinical trials and drug development projects.
Working Hours: The standard working hours for this position are 40 hours per week, with flexibility for project deadlines and maintenance windows.
📝 Enhancement Note: The salary range provided is an estimate based on market research for clinical data management roles in the United Kingdom and Europe. Actual compensation may vary depending on the candidate's experience, qualifications, and location.
🎯 Team & Company Context
Company Culture: Precision for Medicine is a leading provider of clinical data management services, focusing on the development and execution of targeted, adaptive clinical trials. The company values innovation, collaboration, and a deep understanding of the drug development process.
Industry: The company operates in the pharmaceutical and biotechnology industries, working with clients to develop and commercialize new drugs and therapies.
Company Size: Precision for Medicine is a mid-sized company with a global presence, providing opportunities for career growth and professional development.
Founded: The company was founded in 2007 and has since grown to become a leader in the clinical data management space.
Team Structure:
- The clinical data management team consists of experienced professionals with expertise in various therapeutic areas, including oncology and rare diseases.
- The team works collaboratively with internal stakeholders, such as data management, project management, and biostatistics, to ensure the successful execution of clinical trials.
- The team also interacts with external clients, vendors, and partners to gather requirements, provide status updates, and ensure the delivery of high-quality data management services.
Development Methodology:
- Precision for Medicine follows a structured, phase-based approach to clinical data management, ensuring that each project is delivered on time and within budget.
- The company uses industry-standard tools and technologies, such as SAS, R, and CDISC standards, to ensure data quality and compliance with regulatory requirements.
- The company encourages a culture of continuous learning and improvement, with regular training and development opportunities for its employees.
Company Website: Precision for Medicine
📝 Enhancement Note: Precision for Medicine's culture emphasizes collaboration, innovation, and a deep understanding of the drug development process. The company's team structure and development methodology are designed to ensure the successful execution of clinical trials and the delivery of high-quality data management services.
📈 Career & Growth Analysis
Clinical Data Management Career Level: This role is at the senior/principal level, requiring a high degree of technical expertise, leadership, and problem-solving skills. The ideal candidate will have at least 5-10 years of experience in clinical data management, with a strong background in programming, scripting, and data management tools.
Reporting Structure: The Senior/Principal Clinical Database Manager will report directly to the Director of Clinical Data Management or a similar role. They will also work closely with internal stakeholders, such as data management, project management, and biostatistics, to ensure the successful execution of clinical trials.
Technical Impact: The Senior/Principal Clinical Database Manager will have a significant impact on the design, development, testing, implementation, maintenance, and support of clinical databases and applications. They will also play a lead role in internal software projects requiring specialized programming and/or scripting.
Growth Opportunities:
- Technical Specialization: Develop expertise in specific therapeutic areas, such as oncology or rare diseases, to become a subject matter expert in clinical data management.
- Leadership Development: Gain experience in managing teams and projects to advance to a leadership role within the clinical data management team or the broader organization.
- Technical Mentoring: Provide guidance and training to junior staff and contribute to the company's culture of continuous learning and improvement.
📝 Enhancement Note: The Senior/Principal Clinical Database Manager role offers significant opportunities for career growth and professional development within the clinical data management team or the broader organization. The ideal candidate will have a strong technical background, leadership skills, and a desire to advance their career in the clinical data management space.
🌐 Work Environment
Office Type: Precision for Medicine operates a remote-first work environment, with employees working from various locations across the United Kingdom, Europe, and other regions.
Office Location(s): The company has offices in the United Kingdom, the United States, and other locations worldwide. However, this role can be performed remotely from the following locations: UK, Spain, Hungary, Poland, Romania, Serbia, or Slovakia.
Workspace Context:
- Remote Work: Employees working remotely will have access to the necessary tools and technologies to perform their jobs effectively, including secure remote access to the company's systems and networks.
- Collaboration: Remote employees will participate in regular team meetings and virtual collaboration sessions to ensure effective communication and coordination with internal stakeholders and external clients.
- Professional Development: The company offers regular training and development opportunities to support the professional growth of its employees, regardless of their location.
Work Schedule: The standard working hours for this position are 40 hours per week, with flexibility for project deadlines and maintenance windows. Employees working remotely will be expected to maintain a consistent work schedule and be available during core business hours.
📝 Enhancement Note: Precision for Medicine's remote-first work environment offers employees the flexibility to work from various locations while maintaining a collaborative and inclusive work culture. The company's commitment to professional development and growth opportunities ensures that remote employees have access to the same resources and support as their on-site colleagues.
📄 Application & Technical Interview Process
Interview Process:
- Phone or Video Screen: A brief phone or video call to discuss the role, the company, and the candidate's qualifications.
- Technical Assessment: A hands-on assessment of the candidate's technical skills, including programming, scripting, and data management tasks.
- Behavioral Interview: A structured interview focused on the candidate's problem-solving skills, leadership, and communication abilities.
- Final Interview: A meeting with the hiring manager or a panel of stakeholders to discuss the candidate's fit for the role and the company's culture.
Portfolio Review Tips:
- Highlight your experience in developing and customizing clinical data management databases.
- Include case studies that demonstrate your problem-solving skills, leadership, and collaboration with diverse teams.
- Showcase your proficiency in programming languages, scripting, and data management tools.
- Include any relevant certifications or training that demonstrate your expertise in clinical data management.
Technical Challenge Preparation:
- Familiarize yourself with the company's tools and technologies, including SAS, R, and CDISC standards.
- Practice programming, scripting, and data management tasks to ensure you are comfortable with the technical assessment.
- Prepare for behavioral interview questions by reflecting on your experiences and accomplishments in clinical data management.
📝 Enhancement Note: The interview process for the Senior/Principal Clinical Database Manager role is designed to assess the candidate's technical skills, problem-solving abilities, and cultural fit with the company. By preparing thoroughly and showcasing your expertise in clinical data management, you will increase your chances of success in the interview process.
🛠 Technology Stack & Web Infrastructure
Programming Languages:
- Object-Oriented Programming (C#, C++, VBS, etc.)
- Scripting languages (PERL, etc.)
- SAS, R, SQL
Database Management Systems:
- Veeva Vault
- Oracle Database
- Microsoft SQL Server
- PostgreSQL
Data Management Tools:
- SAS Enterprise Guide
- SAS Base
- SAS/STAT and SAS/ACCESS software
- SAS Macro programming language
Version Control:
- Git
- Subversion
Project Management:
- Microsoft Project
- JIRA
- Asana
📝 Enhancement Note: The technology stack for the Senior/Principal Clinical Database Manager role includes a range of programming languages, database management systems, and data management tools. Familiarity with these technologies is essential for success in the role.
👥 Team Culture & Values
Clinical Data Management Values:
- Precision: Deliver high-quality, accurate, and reliable data management services to support clinical trials and drug development.
- Collaboration: Work effectively with internal stakeholders, external clients, and vendors to ensure the successful execution of clinical trials.
- Innovation: Continuously improve data management processes and tools to drive efficiency and effectiveness.
- Compliance: Ensure adherence to regulatory requirements, industry standards, and best practices in data management.
Collaboration Style:
- Cross-Functional Collaboration: Work closely with internal stakeholders, such as data management, project management, and biostatistics, to ensure the successful execution of clinical trials.
- Client-Focused: Prioritize the needs and expectations of external clients to ensure the delivery of high-quality data management services.
- Vendor Management: Establish and maintain effective relationships with vendors to ensure the delivery of required tools and services.
📝 Enhancement Note: Precision for Medicine's clinical data management team values precision, collaboration, innovation, and compliance. The team's collaboration style emphasizes cross-functional collaboration, client focus, and effective vendor management to ensure the successful execution of clinical trials and the delivery of high-quality data management services.
⚡ Challenges & Growth Opportunities
Technical Challenges:
- Data Complexity: Manage complex clinical data sets, including structured and unstructured data, to ensure data quality and compliance with regulatory requirements.
- Data Integration: Integrate data from various sources, including electronic data capture (EDC) systems, laboratory information management systems (LIMS), and other data repositories.
- Data Standardization: Ensure data is standardized and compliant with industry standards, such as CDISC standards (CDASH, SDTM, ADaM, etc.).
- Data Governance: Establish and maintain data governance policies and procedures to ensure data security, privacy, and integrity.
Learning & Development Opportunities:
- Technical Specialization: Develop expertise in specific therapeutic areas, such as oncology or rare diseases, to become a subject matter expert in clinical data management.
- Leadership Development: Gain experience in managing teams and projects to advance to a leadership role within the clinical data management team or the broader organization.
- Technical Mentoring: Provide guidance and training to junior staff and contribute to the company's culture of continuous learning and improvement.
- Industry Conferences: Attend industry conferences and events to stay up-to-date with the latest trends and best practices in clinical data management.
📝 Enhancement Note: The Senior/Principal Clinical Database Manager role presents significant technical challenges and learning opportunities. By developing expertise in specific therapeutic areas, gaining experience in leadership and team management, and staying current with industry trends, you can advance your career in clinical data management and make a significant impact on the success of clinical trials and drug development.
💡 Interview Preparation
Technical Questions:
- Programming & Scripting: Describe your experience with Object-Oriented Programming (C#, C++, VBS, etc.), scripting languages (PERL, etc.), SAS, R, and SQL. Provide examples of complex programming or scripting tasks you have completed in a clinical data management context.
- Data Management: Explain your understanding of CDISC standards (CDASH, SDTM, ADaM, etc.) and how you have applied them in previous roles. Describe your experience with data integration, data standardization, and data governance.
- Problem-Solving: Describe a challenging clinical data management problem you have faced in the past and how you solved it. Explain the steps you took to identify the root cause, develop a solution, and implement it successfully.
- Leadership: Discuss your experience in managing teams and projects in a clinical data management context. Describe how you have motivated and supported team members to achieve their goals and drive project success.
Company & Culture Questions:
- Company Culture: Research Precision for Medicine's company culture, values, and mission. Describe what attracts you to the company and how your skills and experience align with its goals and objectives.
- Team Dynamics: Explain how you have worked effectively with cross-functional teams, external clients, and vendors in previous roles. Describe your approach to collaboration, communication, and conflict resolution.
- Client Focus: Discuss your experience working with external clients in a clinical data management context. Describe how you have understood their needs and expectations and delivered high-quality data management services to support their clinical trials and drug development efforts.
Portfolio Presentation Strategy:
- Portfolio Structure: Organize your portfolio to showcase your experience in developing and customizing clinical data management databases, with a focus on programming, scripting, and data management tasks.
- Case Studies: Include case studies that demonstrate your problem-solving skills, leadership, and collaboration with diverse teams. Highlight your understanding of CDISC standards and effective data management practices.
- Technical Deep Dive: Prepare to discuss the technical details of your projects, including programming languages, scripting, and data management tools. Be ready to explain your approach to data integration, data standardization, and data governance.
📝 Enhancement Note: The interview process for the Senior/Principal Clinical Database Manager role is designed to assess the candidate's technical skills, problem-solving abilities, and cultural fit with the company. By preparing thoroughly and showcasing your expertise in clinical data management, you will increase your chances of success in the interview process.
📌 Application Steps
To apply for this clinical data management position:
- Resume Optimization: Tailor your resume to highlight your experience in developing and customizing clinical data management databases, with a focus on programming, scripting, and data management tasks. Include any relevant certifications or training that demonstrate your expertise in clinical data management.
- Portfolio Customization: Update your portfolio to showcase your experience in developing and customizing clinical data management databases, with a focus on programming, scripting, and data management tasks. Include case studies that demonstrate your problem-solving skills, leadership, and collaboration with diverse teams.
- Technical Interview Preparation: Practice programming, scripting, and data management tasks to ensure you are comfortable with the technical assessment. Prepare for behavioral interview questions by reflecting on your experiences and accomplishments in clinical data management.
- Company Research: Research Precision for Medicine's company culture, values, and mission. Prepare for company-specific questions by understanding the company's goals, objectives, and recent projects.
📝 Enhancement Note: The application process for the Senior/Principal Clinical Database Manager role requires a strong portfolio, resume, and interview preparation. By tailoring your application materials to highlight your expertise in clinical data management and preparing thoroughly for the interview process, you will increase your chances of success in securing the role.
Application Requirements
Candidates must have experience in developing clinical data management databases and a bachelor's degree or related experience. Proficiency in programming languages and understanding of CDISC standards are also required.