Statistical Analyst / Pharma dedicated Data Manager

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Statistical Analyst / Pharma dedicated Data Manager

Are you looking for a job where you can make a difference and work in a non-profit? Would you like to be a part of an ambitious and international organisation on the cutting edge of science? Then this position might be right up your alley.

Deadline Published on Vacancy ID AT EB 20230131

Academic fields

Health; Natural sciences

Job types

Research, development, innovation

Education level

Higher professional education

Weekly hours

36 hours per week

Salary indication

€3618—€3948 per month

Location

Rijnsburgerweg 10, 2333 AA, Leiden

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Job description

The EBMT is a non-profit medical and scientific organisation which hosts a unique patient registry providing a pool of data to perform studies and assess new trends. 

Our Mission

Save and improve the lives of patients with blood-related disorders.

YOUR MISSION

Create patient data reports and data files for internal and external parties, using SPSS and R.

 RESPONSIBILITIES AND TASKS

  • Review study proposals/protocols, conduct feasibility studies and assessing potential bottlenecks for study conduct.
  • Integrate data from several sources, data mapping when necessary.
  • Prepare, interpret, analyse, and visualize complex data.
  • Produce relevant data sets, reports, charts, graphs and tables for MAHs, statisticians, managers and other end-users.
  • Review reports, abstracts/manuscripts before submission.
  • Develop and maintain all documents and procedures related to the data management and data analysis aspects of studies in accordance with applicable legislations, regulations and standard operating procedures.
  • Ensure data quality and completeness by performing data quality checks. Use system reports, analyses and medical knowledge to identify potentially problematic or inaccurate data in the database and/or reports.
  • Make corrections and resolve discrepancies.
  • Perform audits of own work or that of others to ensure conformance with established procedures.
  • On request or on own initiative take on tasks to contribute to the optimisation of processes within the unit.
  • Instruct and provide guidance to less experienced staff.
  • May provide administrative support and may participate in meetings.

Requirements

  • Bachelor’s Degree in biomedical sciences or a related field. 
  • Minimum of two years of experience in data management / statistics.
  • Experience working with SPSS syntax or R or other statistical and programming software.
  • Knowledge of data management and statistical principles and regulatory requirements for data processing.
  • Fluent in English, excellent oral and written skills.
  • Demonstrated ability to produce data in a clear and understandable manner meeting user requirements
  • Ability to work with data of varying levels of quality and validity
  • Attention to detail

NICE-TO-HAVES

  • Master’s Degree in biomedical sciences or (bio)statistics or a related field
  • Knowledge and demonstrated experience with relational databases and data integration
  • Knowledge of medical terminology (haematology)

Conditions of employment

Fixed-term contract: with the possibility of staying with us in the long term.

WHAT WE OFFER

  • Be part of a non-profit society where you can make a difference
  • Work alongside a multicultural and diverse international team
  • Based in Leiden or surroundings - attendance to EBMT offices 2 days per week and working remotely 3 days.
  • Full-time position (36 hours/week)
  • Flexible working hours (starting from 8am to 10am and finish accordingly).
  • 1 year contract with the possibility of staying with us in the long term
  • 1 month probation period
  • 25 days of vacation per year
  • Salary: 3618 - 3948 euros gross/month (depending on previous experience).

ADDITIONAL BENEFITS (once probation period is over)

  • Travel allowance for commuting on office days
  • An end of the year payment
  • 8% holiday remuneration
  • Some foreign travel
  • Support in training and professional development
  • A pension arrangement with the National Civil Pension Fund