Epidemiologist for Real World Data Studies

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Epidemiologist for Real World Data Studies

Be responsible for the coordination of observational studies as part of the Data Analysis and Real World Interrogation Network (DARWIN EU®) initiative

Deadline Published on Vacancy ID 651

Academic fields

Health

Job types

Research, development, innovation

Education level

Doctorate

Weekly hours

36 hours per week

Salary indication

€4678—€6402 per month

Location

Dr. Molewaterplein 40, 3015GD, Rotterdam

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Job description

The department of Medical Informatics (Erasmus MC) has a vacancy for 4 epidemiologists to coordinate observational research making use of international, large real world data sources mapped to the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). As epidemiologist you will be responsible for the coordination of observational studies as part of the Data Analysis and Real World Interrogation Network (DARWIN EU®) initiative. DARWIN EU® is an initiative by the European Medicines Agency (EMA) with as aim to generate evidence to support regulatory decision making in Europe. The department of Medical Informatics is currently representing the Coordination Centre for the DARWIN EU® initiative.

In your function as epidemiologist, you will lead the analysis of OMOP-mapped real world health data following pre-specified protocols and/or using existing analytical pipelines. You will be responsible for all aspects of observational research including study outline and protocol writing, parametrization of study code, study execution, interpretation of results and report/manuscript writing. You are willing to travel to participate in project meetings and present the study results at international conferences. We are looking for an experienced and enthusiastic epidemiologist who wants to make a difference in the continuous search for safe and effective medicines.

Requirements

  • PhD in Epidemiology or Public Health.
  • Background in Medicine, Pharmacy or Biomedical Sciences is an asset.
  • Post-graduate work experience in real-world evidence.
  • Experience in the design and execution of epidemiological studies utilizing large-scale healthcare databases.
  • Good analytical and organizational skills.
  • Good time management.
  • Experience to work in a multi-disciplinary team.
  • Appreciates to work adhering to standard operating procedures.
  • Fluent in English.
  • Excellent writing skills with track record of peer reviewed publications.
  • Experience programming R packages.

Conditions of employment

  • You will receive a contract for one year with the prospect of further extension.
  • The gross monthly salary amounts a minimum of € 4.678,- and a maximum of € 6.402,- depending on your level of education and relevant experience, based on a full-time working week of 36 hours.
  • Excellent fringe benefits, such as a 13th month that is already paid out in November and a individual travel expense package.
  • An International Office which aids you in preparing for you arrival and stay.
  • Pension insurance with ABP. We take care of approximately 2/3 of the monthly contribution.
  • Special benefits, such as an incompany physiotherapist and bicycle repairer. And there is also a gym where you can work on your fitness after work.

Employer

Erasmus MC

A healthy population and excellence in healthcare through research and education. This is what Erasmus MC stands for. Conducting groundbreaking work, pushing boundaries and leading the way in research, education, and healthcare. We are practical people with a high level of expertise, working hard to improve and renew the healthcare of today and the public health of tomorrow.

Our institute is internationally at the forefront of health data science and offers a dynamic, challenging, and cooperative research environment. The Department of Medical Informatics at Erasmus MC is specialized in using routine healthcare data. Currently the department is coordinating and collaborating in several impactful projects that aim at building EU-wide and global federated data networks to answer questions that matter to patients (see www.healthdatascience.nl). Research as done within our department is performed in close collaboration with the Observational Health Data Sciences and Informatics (OHDSI) initiative, which is a global, multi-stakeholder, interdisciplinary collaborative to bring out the value of health data through large-scale analytics, and the EU-sponsored European Health Data and Evidence Network (EHDEN) which develop frameworks to generate reliable real-world evidence. The department of Medical Informatics is currently representing the Coordination Centre for the DARWIN EU® initiative of the EMA.

Working at Erasmus MC

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