Intern Clinical Data Manager 140 views

INTERNSHIP OPPORTUNITY

Clinical Data Management, Electronic Data Capture and Research Data Quality

DURATION: 3-6 Months

 LOCATION: The Hub, Kairaba Avenue

ROLE: Intern Clinical Data Manager

REPORTING TO: Assigned AcroMetrics Supervisor

MISSION: Better Health Research

 STIPEND: Provided for the duration of the internship.

EMPLOYMENT OPPORTUNITY: Potential pathway following successful completion, subject to performance, organisational needs and available vacancies.

ROLE PURPOSE

The Intern Clinical Data Manager will support AcroMetrics in the setup, maintenance and quality oversight of clinical and health research databases. The role provides practical exposure to clinical data management, electronic data capture systems, case report forms, data validation, data query management, reporting and study documentation.

Working under the supervision of experienced data managers and other team members, the intern will support the data lifecycle from database design and testing through live-study data review and preparation for database lock, while developing a strong understanding of Good Clinical Practice (GCP), General Data Protection Regulation (GDPR) and other professional clinical research standards.

Clinical Database Setup and EDC Support

• Development and understanding of clinical data management principles, clinical trials, study phases, Good Clinical Practice and data protection requirements, including
• Support the setting-up, configuration and routine administration of Electronic Data Capture (EDC) systems and study databases.
• Assist with the development of case report forms (CRFs), fields, variables, validation rules, branching logic and database structures.
• Review study protocols and data collection requirements and help translate them into practical database
• Support user access, mobile data collection, CRF testing and basic database troubleshooting activities.
• Maintain clear database build notes, configuration records and change
• Work with study teams to ensure data collection tools are clear, consistent and suitable for their intended

Data Quality, Cleaning and Query Management

• Run and interpret data validation checks to identify missing, inconsistent or potentially inaccurate
• Review data listings and reports, document findings clearly and escalate issues
• Write clear data queries and support query resolution workflows with study teams and data entry
• Track open and resolved queries and support timely follow-up under appropriate
• Support ongoing data reviews, data cleaning activities, interim reviews and preparation for database lock

Validation, UAT and Issue Management

• Assist with User Acceptance Testing (UAT) and maintain complete, accurate and traceable testing
• Test fields, branching logic, calculations, validation rules, user roles, reports and study
• Record defects and observations clearly, support retesting and maintain accurate issue
• Support the preparation and review of validation documents, test scripts and validation
• Check implemented changes against approved requirements and follow relevant change control procedures.

Reporting, Data Handling and Analytics

• Prepare Excel reports using tools such as formulas, filters, pivot tables and
• Generate simple metrics, data summaries and weekly or monthly study progress
• Use basic SQL queries, filters and joins for data retrieval, checking and
• Use beginner-level R or Python for data handling and quality checks where
• Work confidently with XML, CSV, Excel and other common clinical research dataset
• Gain introductory experience with dashboard tools such as Power BI and
• Develop familiarity with audit trails, system logs, data exports and traceable data

Documentation, Governance and Study Support

• Read and follow relevant Standard Operating Procedures (SOPs), study protocols and data management
• Prepare clear work instructions, data notes, query logs, technical documentation and progress
• Support database setup, data cleaning plan, live-study query management, interim data reviews, data exports and database lock
• Maintain accurate records of work completed and contribute to a learning log or development
• Apply confidentiality, data protection and professional conduct requirements in all

Professional Development and Team Contribution

• Participate in training sessions, workshops and team learning activities where
• Complete relevant GCP, ICH-GCP and GDPR learning or certification
• Study FAIR data principles and their relevance to clinical and research data
• Shadow experienced clinical data managers, database developers and study professionals during supervised
• Demonstrate effective time management, attention to detail, documentation accuracy, analytical thinking and problem-solving.
• Communicate progress, risks and support needs clearly and work collaboratively with
• Well-structured and appropriately tested CRFs, study databases and data collection
• Accurate UAT evidence, validation checks, data queries, issue logs and change
• Reliable data listings, reports, metrics and datasets prepared under
• Clear documentation, progress updates and an up-to-date learning or development
• Responsible use of EDC systems, datasets, audit trails and confidential study

PERSON SPECIFICATION

ESSENTIAL

· Minimum BSc in Computer Science, Information Systems, Statistics, Data Science, Health Informatics, final year computer science/information system or a related field.

· Interest in clinical data management, health research and the use of data to support better research outcomes.

· Good working knowledge of Microsoft Excel and common data formats such as CSV.

· Basic understanding of databases, data structures or data handling principles.

· Strong analytical and problem-solving mindset with willingness to learn.

· Good written and verbal communication and teamwork skills.

· Ability to handle confidential information responsibly and work accurately with attention to detail.

· Ability to manage time, follow instructions and maintain clear records of completed work.

DESIRABLE

· Awareness of EDC systems, clinical trials, clinical data management, GCP or health research.

· Basic SQL skills, including queries, filters and joins.

· Beginner experience with Python or R for data handling and validation checks.

· Experience with Excel reporting, Power BI, Shiny or similar tools.

· Familiarity with UAT, database validation, audit trails, system logs or technical documentation.

· Some experience handling datasets through academic, personal, voluntary or internship projects.

· Interest in building accurate, traceable and practical data solutions with real-world impact.

WHAT THE INTERN WILL GAIN

Clinical Database Experience Practical experience supporting EDC systems, CRFs and study databases.

Data Quality and Queries

Hands-on exposure to validation checks, data cleaning and query management.

Mentorship

Guidance from experienced clinical data managers and database professionals.

Validation and UAT

Experience testing databases and preparing accurate validation evidence.

Reporting and Analytics Experience with Excel, dashboards, SQL and data summaries.

Professional Growth

Structured learning, workshops, certifications and a development log.

Stipend

A stipend will be provided for the duration of the internship.

Employment Opportunity

Opportunity to be considered for employment following successful completion, subject to performance, organisational needs and available vacancies.

WHO THIS OPPORTUNITY IS FOR

This internship is suited to students or recent graduates who are interested in clinical research and data, are careful and analytical, and want practical experience in clinical data management, EDC systems, data quality, validation, reporting and study support.

APPLICATION AND CONTACT INFORMATION

APPLICATION DEADLINE: On a rolling basis!

Email: apply@gamjobs.com Website: www.acro-metrics.com LinkedIn: AcroMetrics Consultancy Ltd Facebook: @acro.metrics

Join AcroMetrics and contribute to accurate, reliable and data-driven solutions that support better health research.