Senior/Principal Clinical Database Manager at Precision for Medicine

📍 Job Overview

Job Title: Senior/Principal Clinical Database Manager
Company: Precision for Medicine
Location: Remote, Serbia
Job Type: Full-Time
Category: Data Management & Analytics
Date Posted: 2025-08-01
Experience Level: Mid-Senior level (5-10 years)
Remote Status: Remote (UK, Spain, Hungary, Poland, Romania, Serbia, Slovakia)

🚀 Role Summary

Key Responsibilities: Design, develop, maintain, and support clinical databases and applications. Collaborate with internal teams, clients, and vendors. Provide operational and technical training to end-users and junior staff. Lead internal software projects requiring specialized programming and/or scripting.
Key Skills: Clinical Data Management, Database Development, Programming, Scripting, EDC Vendor Interaction, Training, CDISC Standards, Object-Oriented Programming, SQL, SAS, R, Communication Skills, Leadership Skills, Oncology Experience, Veeva Setup, Microsoft Office

📝 Enhancement Note: This role requires a strong background in clinical data management and database development, with a focus on oncology and/or orphan drug therapeutic experience. Proficiency in programming languages, understanding of CDISC standards, and effective data management practices are essential.

💻 Primary Responsibilities

Database Management: Design, develop, test, implement, maintain, and support clinical databases and applications using various clinical database management systems.
Stakeholder Communication: Interface directly with internal teams (Data Management, Project Management, etc.), EDC vendors, clients, and third-party vendors to gather requirements and provide status updates.
Training & Mentoring: Provide operational and technical training to end-users and junior staff. Mentor junior team members to develop their skills and advance their careers.
Project Leadership: Lead internal software projects that require specialized programming and/or scripting. Collaborate with cross-functional teams to ensure project success.
Data Management: Utilize broad knowledge of drug, device, and/or biologic development and effective data management practices to ensure data quality and integrity.

📝 Enhancement Note: This role involves working with sensitive clinical data, so it's crucial to maintain data privacy and security standards throughout the database management lifecycle.

🎓 Skills & Qualifications

Education: Bachelor’s degree in a relevant field or equivalent experience in clinical, scientific, or healthcare discipline.

Experience: 5-10 years of experience in developing and customizing clinical data management databases. Proven track record in clinical database management system development and utilization.

Required Skills:

Proficiency in Microsoft Office (Word, Excel, PowerPoint, Outlook)
Experience in Object-Oriented Programming (C#, C++, VBS, etc.)
Scripting language experience (PERL, etc.)
SAS, R, SQL proficiency
Understanding of CDISC standards (CDASH, SDTM, ADaM, etc.)
Strong leadership and interpersonal skills
Excellent organizational and communication skills in English (both written and oral)

Preferred Skills:

Oncology and/or Orphan Drug therapeutic experience
Base SAS®, SAS/STAT, and SAS/ACCESS software experience
SAS Macro programming language experience
Advanced experience in Database Management and object-oriented programming
Veeva set up experience

📝 Enhancement Note: While not explicitly stated, having experience with Rave API integration using external vendor modules and Rave Advanced Custom Function programming would be highly beneficial for this role.

📊 Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate experience in developing and customizing clinical data management databases using various clinical database management systems.
Showcase proficiency in programming languages, scripting, and data management tools.
Highlight successful collaboration with internal teams, clients, and vendors on clinical database projects.
Display strong leadership and mentoring skills through previous project examples.

Technical Documentation:

Provide detailed documentation on clinical database development, testing, implementation, maintenance, and support processes.
Include case studies or examples demonstrating the application of CDISC standards in clinical data management.
Showcase proficiency in data management practices and standards, such as data quality, data integrity, and data security.

📝 Enhancement Note: As this role involves working with sensitive clinical data, it's essential to include examples of how you ensure data privacy and security in your portfolio.

💵 Compensation & Benefits

Salary Range: €60,000 - €80,000 per year (EUR average for a Senior Clinical Data Manager in Serbia, adjusted for experience level and remote work)

Benefits:

Competitive salary and benefits package
Opportunities for professional development and career growth
Flexible work arrangements, including remote work options
Collaborative and inclusive work environment

Working Hours: Full-time (40 hours/week), with flexibility for project deadlines and maintenance windows

📝 Enhancement Note: While the salary range is an estimate based on industry standards and regional adjustments, the actual salary may vary depending on the candidate's experience, skills, and the company's internal compensation structure.

🎯 Team & Company Context

🏢 Company Culture

Industry: Precision Medicine and Oncology

Company Size: Medium to Large (1,001-5,000 employees)

Founded: 2012 (Precision Medicine Group)

Team Structure:

Collaborative and cross-functional teams, including Data Management, Project Management, and other internal teams.
Close collaboration with clients, vendors, and external stakeholders.
Flat hierarchy, with opportunities for leadership and mentoring roles.

Development Methodology:

Agile development methodologies, with a focus on iterative development, testing, and deployment.
Collaborative and inclusive work environment, with a strong emphasis on knowledge sharing and continuous learning.
Regular team meetings and progress updates to ensure project success and team alignment.

Company Website: Precision for Medicine

📝 Enhancement Note: Precision Medicine Group is a global leader in precision medicine, with a strong focus on oncology and clinical data management. They prioritize collaboration, innovation, and continuous learning in their work environment.

📈 Career & Growth Analysis

Clinical Data Management Career Level: This role is at the Senior/Principal level, with a focus on leading projects, mentoring junior staff, and driving strategic decisions in clinical data management.

Reporting Structure: This role reports directly to the Director of Data Management or a similar role, with matrix reporting to other internal teams and stakeholders as needed.

Technical Impact: This role has a significant impact on clinical data management, ensuring data quality, integrity, and security. It also influences project success, client satisfaction, and the overall effectiveness of the data management function.

Growth Opportunities:

Technical Growth: Deepen expertise in clinical data management, database development, and programming languages. Explore opportunities in emerging technologies and data management trends.
Leadership Growth: Develop leadership and mentoring skills through leading internal projects and guiding junior team members. Pursue opportunities in management or architecture roles within the data management function.
Career Transition: Leverage experience and skills to transition into related roles, such as Data Governance, Data Architecture, or Data Science.

📝 Enhancement Note: Career growth opportunities in this role depend on individual performance, company needs, and the broader precision medicine industry trends. Regularly review and update your skills and knowledge to stay competitive in the job market.

🌐 Work Environment

Office Type: Remote work with occasional on-site meetings or events, as needed.

Office Location(s): Remote work with the option to work from any of the listed locations: UK, Spain, Hungary, Poland, Romania, Serbia, or Slovakia.

Workspace Context:

Remote Work: Collaborate with team members and stakeholders using various communication and project management tools.
Home Office Setup: Ensure a suitable home office setup with a reliable internet connection, appropriate hardware, and a comfortable work environment.
Team Interaction: Engage with team members, clients, and vendors through regular meetings, progress updates, and knowledge-sharing sessions.

Work Schedule: Full-time (40 hours/week), with flexibility for project deadlines and maintenance windows. Occasional overtime may be required to meet project deadlines or address critical issues.

📝 Enhancement Note: Working remotely requires strong self-motivation, time management, and communication skills. Maintain a healthy work-life balance by setting clear boundaries and prioritizing self-care.

📄 Application & Technical Interview Process

Interview Process:

Resume Screening: Ensure your resume highlights relevant experience, skills, and accomplishments in clinical data management and database development.
Phone/Video Screen: Expect behavioral and technical questions focused on your experience, skills, and cultural fit. Be prepared to discuss your portfolio and provide examples of your work.
Technical Assessment: Complete a technical assessment or case study, demonstrating your proficiency in clinical data management, database development, and programming languages.
Final Interview: Meet with key stakeholders, including the hiring manager and other team members. Discuss your career goals, expectations, and fit within the organization. Be prepared to answer questions about your leadership style, mentoring approach, and problem-solving skills.

Portfolio Review Tips:

Case Studies: Include detailed case studies demonstrating your experience in clinical data management, database development, and programming languages.
Data Management Processes: Highlight your understanding of data management practices, standards, and best practices.
Collaboration & Communication: Showcase your ability to collaborate with internal teams, clients, and vendors to gather requirements, provide status updates, and ensure project success.

Technical Challenge Preparation:

Database Design & Development: Brush up on your database design and development skills, with a focus on clinical data management systems and CDISC standards.
Programming & Scripting: Revisit your programming and scripting skills, with an emphasis on object-oriented programming, SQL, SAS, R, and other relevant tools.
Problem-Solving: Practice problem-solving techniques and be prepared to discuss your approach to complex data management challenges.

ATS Keywords: [Clinical Data Management, Database Development, Programming, Scripting, EDC Vendor Interaction, Training, CDISC Standards, Object-Oriented Programming, SQL, SAS, R, Communication Skills, Leadership Skills, Oncology Experience, Veeva Setup, Microsoft Office]

📝 Enhancement Note: Tailor your resume, portfolio, and interview preparation to highlight the required and preferred skills listed in the job description. Use relevant keywords and examples to demonstrate your qualifications and fit for the role.

🛠 Technology Stack & Web Infrastructure

Database & Programming Technologies:

Clinical Database Management Systems: Experience with various clinical database management systems, such as Rave, Medidata, or other EDC platforms.
Programming Languages: Proficiency in object-oriented programming languages, such as C#, C++, VBS, etc. Experience with scripting languages, such as PERL, is also required.
Data Management Tools: Familiarity with SAS, R, and SQL. Experience with Base SAS®, SAS/STAT, and SAS/ACCESS software is preferred.
CDISC Standards: Strong understanding of CDISC standards, including CDASH, SDTM, and ADaM.

Infrastructure Tools:

Version Control: Experience with version control systems, such as Git or SVN, to manage database development and deployment processes.
Deployment Automation: Familiarity with deployment automation tools, such as Jenkins, Bamboo, or other CI/CD pipelines, to streamline database deployment and maintenance.
Monitoring Tools: Experience with monitoring tools, such as Nagios, Zabbix, or other server monitoring solutions, to ensure database performance, availability, and security.

📝 Enhancement Note: Stay up-to-date with the latest trends and best practices in clinical data management, database development, and programming languages. Continuously expand your skillset to remain competitive in the job market.

👥 Team Culture & Values

Clinical Data Management Values:

Data Quality & Integrity: Prioritize data quality and integrity in all aspects of clinical data management, from database design to deployment and maintenance.
Collaboration & Communication: Foster a collaborative and inclusive work environment, with a strong emphasis on knowledge sharing and continuous learning.
Innovation & Adaptability: Embrace emerging technologies and data management trends to drive continuous improvement and innovation in clinical data management processes.
Client Focus: Maintain a strong focus on client satisfaction, ensuring that clinical data management processes meet the needs and expectations of internal teams, clients, and external stakeholders.

Collaboration Style:

Cross-Functional Integration: Collaborate closely with internal teams, such as Data Management, Project Management, and other functional areas, to ensure project success and data quality.
Code Review & Quality Assurance: Implement code review and quality assurance processes to ensure the accuracy, completeness, and consistency of clinical data management processes.
Knowledge Sharing & Mentoring: Foster a culture of knowledge sharing and mentoring, with a strong emphasis on continuous learning and professional development.

📝 Enhancement Note: Precision Medicine Group values a collaborative, innovative, and client-focused work environment. Demonstrate your ability to work effectively in a cross-functional team and contribute to the company's success.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Database Design & Development: Design and develop efficient, scalable, and secure clinical databases that meet the needs of internal teams, clients, and external stakeholders.
Data Management Best Practices: Implement and maintain data management best practices, including data quality, data integrity, and data security, to ensure the accuracy and reliability of clinical data.
CDISC Standards Compliance: Ensure compliance with CDISC standards, including CDASH, SDTM, and ADaM, to facilitate data exchange and interoperability between clinical trials and other data sources.
Emerging Technologies: Stay up-to-date with emerging technologies and data management trends, and adapt clinical data management processes to leverage these innovations.

Learning & Development Opportunities:

Technical Skill Development: Deepen your expertise in clinical data management, database development, and programming languages. Explore opportunities in emerging technologies and data management trends.
Leadership & Mentoring: Develop your leadership and mentoring skills through leading internal projects and guiding junior team members. Pursue opportunities in management or architecture roles within the data management function.
Career Transition: Leverage your experience and skills to transition into related roles, such as Data Governance, Data Architecture, or Data Science.

📝 Enhancement Note: Addressing technical challenges and pursuing learning and development opportunities requires a proactive approach to continuous learning and professional development. Stay curious and engaged with the latest trends and best practices in clinical data management and related fields.

💡 Interview Preparation

Technical Questions:

Database Design & Development: Expect questions about your experience in designing, developing, and maintaining clinical databases using various clinical database management systems.
Programming & Scripting: Be prepared to discuss your proficiency in object-oriented programming, scripting languages, and other relevant tools, such as SAS, R, and SQL.
Data Management Best Practices: Demonstrate your understanding of data management practices, standards, and best practices, with a focus on data quality, data integrity, and data security.
CDISC Standards Compliance: Showcase your knowledge of CDISC standards, including CDASH, SDTM, and ADaM, and how you ensure compliance in clinical data management processes.

Company & Culture Questions:

Company Fit: Demonstrate your understanding of Precision Medicine Group's mission, values, and culture. Explain how your skills, experience, and career goals align with the company's objectives.
Collaboration & Communication: Highlight your ability to work effectively in a cross-functional team, collaborating with internal teams, clients, and external stakeholders to ensure project success and data quality.
Problem-Solving: Provide examples of your problem-solving skills, with a focus on addressing complex data management challenges and driving innovative solutions.

Portfolio Presentation Strategy:

Case Studies: Present detailed case studies demonstrating your experience in clinical data management, database development, and programming languages. Highlight your ability to address complex data management challenges and drive innovative solutions.
Data Management Processes: Showcase your understanding of data management practices, standards, and best practices. Include examples of how you ensure data quality, data integrity, and data security in your portfolio.
Collaboration & Communication: Emphasize your ability to work effectively in a cross-functional team, collaborating with internal teams, clients, and external stakeholders to ensure project success and data quality.

📝 Enhancement Note: Prepare thoroughly for your interviews by researching the company, practicing common interview questions, and tailoring your responses to highlight your skills, experience, and cultural fit. Use the interview process as an opportunity to learn about the company and assess your fit within the organization.

📌 Application Steps

To apply for this Senior/Principal Clinical Database Manager position:

Resume Optimization: Tailor your resume to highlight relevant experience, skills, and accomplishments in clinical data management and database development. Include relevant keywords and examples to demonstrate your qualifications and fit for the role.
Portfolio Preparation: Curate a portfolio showcasing your experience in clinical data management, database development, and programming languages. Include case studies, data management processes, and examples of your ability to address complex data management challenges and drive innovative solutions.
Technical Interview Preparation: Brush up on your database design and development skills, with a focus on clinical data management systems and CDISC standards. Revisit your programming and scripting skills, with an emphasis on object-oriented programming, SQL, SAS, R, and other relevant tools. Practice problem-solving techniques and be prepared to discuss your approach to complex data management challenges.
Company Research: Research Precision Medicine Group's mission, values, and culture. Understand the company's focus on precision medicine, oncology, and clinical data management. Prepare questions to ask during the interview process to demonstrate your interest and engagement with the company.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions about clinical data management, database development, and programming languages. All details should be verified directly with Precision Medicine Group before making application decisions.

Senior/Principal Clinical Database Manager