Scientific Data Manager (m/f/d) Job

Date: Jul 5, 2019

Location: Schwabenheim, RP, DE

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Requisition ID: CLI006950

Our Animal Health division works to improve the health of animals around the world through collaborative partnerships and a deep sense of responsibility towards our customers, consumers, animals, society, and our planet. This team of energetic, independent thinkers offers one of the industry’s most innovative portfolios of products, services, and technologies that serve to prevent, treat, and control diseases across all major farm and companion animal species both domestically and internationally.


 


As part of our clinical research team and reporting to the Director Biostatistics, we are looking for a Scientific Data Manager (m/f/d) to join our team in Schwabenheim, office based (Full-time, indefinite).


 


The Scientific Data Manager will be responsible for:



  • Writing study-specific data management plans


  • Developing and maintaining databases to collect and retain clinical study data for laboratory challenge and clinical field trials for pharmaceutical and biological veterinary compounds by good Data Management practices


  • Collaborating with the Clinical Research Assistants (CRA) on the design of the Data Capture Forms and the establishment of data entry screens


  • Setting up and running UATs (User Acceptance Tests)


  • You will be responsible for the comparison of the two independently entered data (“confrontation”) and will collaborate with the Clinical Research Manager (CRM) to resolve data entry differences


  • Programming and running edit checks and testing the integrity and consistency of the data


  • You will collaborate with the CRM and CRA on data findings and resolve these via data queries with the Investigator site


  • Evaluating protocol deviations for effect on data analysis and interpreting the results


  • Tracking and transferring of external data to the primary database


  • You will develop and implement processes to allow studies to be conducted paperless by using an Electronic Data Capture system
Qualifications



  • Bachelor of Science in Data Management, Management Information Systems (MIS), Biological or Clinical Sciences, Statistics, or equivalent. Alternatively, professional education (e.g. Medical Documentation) with several years of professional experience


  • Expertise on the Clinsight software or another Data Management Software


  • Experience with Data Management processes


  • Electronic Data Capture


  • Knowledge of CDISC CDASH/SDTM


  • Basic knowledge of a programming or query language (SAS, R, SQL)


  • Knowledge of Clinical Research, Clinical Trials, GCP and GLP in Animal Health


  • Strong interpersonal skills, negotiation skills, communication skills and teamwork focus


  • Self-organized and structured working style


  • Fluency in English; German Knowledge is desired

 


We offer:


 




  • An exciting opportunity within a stable and growing company


  • Development and career opportunities within the company


  • A competent, motivated and great team

 


Interested in becoming part of a dynamic, developing team and contributing your know-how to an innovative environment that allows you to show initiative and that offers long-term perspectives? Please apply using the link to our career site!


 


 


MSD is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at MSD via email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of MSD.  No fee will be paid in the event the candidate is hired by MSD as a result of the referral or through other means.



Job: Clinical Research Monitor
Other Locations:
Employee Status: Regular
Travel:
Number of Openings: 1
Shift (if applicable):
Hazardous Materials:
Company Trade Name: MSD


Job Segment: Scientific, Database, Medical, Data Management, Information Systems, Engineering, Technology, Healthcare, Data

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