FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates proficiency in data management activities, including electronic data capture, data quality checks, and database testing, while ensuring compliance with Good Clinical Practice (GCP) principles. Fluent in German and English, with strong organizational skills and attention to detail in handling structured data.
Highest-signal resume keywords
Electronic Data Capture (EDC)Data Quality ChecksRelational DatabasesSQLGood Clinical Practice (GCP)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ManagementData CleaningMedical Data CodingBasic ProgrammingStatistical AnalysisData ReconciliationData Entry ReviewValidation SpecificationsPlausibility ChecksEdit Checks
Soft Skills
Attention to DetailStrong Communication SkillsOrganizational SkillsProactive MindsetAbility to Work Independently
Tools & Technologies
Microsoft OfficeExcelSASRDigital Tools
Industry Keywords
Clinical Data ManagementData PrivacyQuality Management SystemsConfidentialityGood Clinical Practice (GCP)
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Support accurate, timely and compliant management of data from clinical and cosmetic studies
- Support data-management activities for assigned studies according to study requirements, procedures and timelines
- Assist with preparation, review and maintenance of CRFs/eCRFs, data management plans, validation specifications and study documentation
- Perform electronic data capture, data entry review, medical-data coding, plausibility checks, edit checks and data-quality checks
- Identify data discrepancies, prepare and follow up data queries, document resolutions and escalate recurring or critical issues
- Support database testing, user acceptance testing (UAT) and verification of study-specific forms, checks and reports
- Assist with data cleaning, reconciliation and preparation of quality-controlled datasets for statistical analysis and study reporting
- Perform basic programming and routine data checks using approved tools, templates and scripts under supervision
- Maintain accurate, complete and traceable records of data-management activities, decisions and changes
- Collaborate with clinical, statistical and operational colleagues, communicating progress, risks and data-quality issues
- Contribute to standardization, automation and continuous improvement of data-management processes, templates and practices
- Handle confidential study and personal data responsibly and follow SGS quality, information-security, QHSE, HR and professional-conduct requirements
Requirements
What you’ll need- Fluent German and English (C1 level)
- Strong attention to detail and confidence working with structured data and documentation
- Good knowledge of Microsoft Office, especially Excel
- Practical experience using at least one programming or scripting language, gained through professional work, internships or academic projects
- Ability and willingness to quickly learn new databases and digital tools
- Good organizational skills and ability to manage priorities and meet deadlines
- Proactive mindset and strong communication skills
- Ability to work both independently and as part of a remote, international team
- Reliable and responsible approach, with a strong awareness of data confidentiality
- Bachelor’s degree in Data or Information Management, Biology, Mathematics, or a related field would be an advantage
- Up to 2 years of relevant experience or equivalent exposure gained through internships, academic projects or junior-level work would be an advantage
- Familiarity with Electronic Data Capture (EDC) systems
- Basic knowledge of relational databases and SQL
- Familiarity with SAS or R
- Basic understanding of Clinical Data Management
- Awareness of Good Clinical Practice (GCP) principles
- Basic knowledge of data privacy or quality management systems
- CV submitted in English
Benefits
Comp & perks- Stable employment based on a contract of employment (umowa o pracę) with fixed business hours, Mon-Fri (08:00/09:00–16:00/17:00)
- A fast and secure remote recruitment process
- Possibility of signing a preliminary agreement to secure future employment
- Comprehensive onboarding tailored to your individual pace, with ongoing support from a Team Leader
- Hybrid / remote work model
- Private medical care (Medicover)
- Group insurance
- Access to the Medicover Benefits platform
- Co-financing for the Medicover Sport card
- Language course subsidies
- Additional leave for volunteering
- Subsidies for eyeglasses
- Training platform
- Wide range of specialized internal and external training sessions conducted by qualified experts
- Employee Referral Program
- Opportunities for active participation in charitable initiatives
- Dedicated parking for employees