Joeri Meijsen
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Postdoctoral Researcher Psychiatric Genetics at the Institute of Biological Psychiatry (IBP), Mental Health Services, Sct. Hans
I am a researcher with several years of experience in psychiatric genetics and statistical genomics. I have worked extensively in both academic and collaborative research settings, contributing to projects that explore the genetic architecture of mental health disorders and related traits. My expertise includes complex trait modeling, heritability estimation, and advanced statistical methods, including polygenic risk scoring. I have a strong track record of publishing in peer-reviewed journals. I am passionate about advancing our understanding of how genetic and environmental factors jointly influence human behavior and mental health. My previous roles have included working on large-scale international consortia, developing simulations for genetic epidemiology, and mentoring junior researchers.
The University of Edinburgh
Doctor of Philosophy - PhD, Statistical Genetics and Machine Learning
January 1, 2015 – January 1, 2018
Leiden University
Master of Science (MSc), Computer Science track Bioinformatics
January 1, 2011 – January 1, 2014
Hogeschool Leiden
Bachelor of Applied Science (BASc), Bioinformatics
January 1, 2007 – January 1, 2011
Center for Eating and feeding Disorders Research (CEDaR)
Postdoctoral Researcher
June 1, 2024 – May 1, 2026
Ballerup Municipality, Capital Region of Denmark, Denmark
Institute of Biological Psychiatry (IBP), Mental Health Services, Sct. Hans
Postdoctoral Researcher
June 1, 2020 – Present
Roskilde Municipality, Region Zealand, Denmark
Stanford University
Postdoctoral Research Fellow
January 1, 2019 – January 1, 2020
Palo Alto, California
The University of Edinburgh
Research Associate
January 1, 2018 – August 1, 2018
The University of Edinburgh
PhD Student Statistical Genetics and Machine Learning
January 1, 2015 – August 1, 2018
Erasmus MC
Master student Bioinformatics
April 1, 2013 – January 1, 2014
The Randstad, Netherlands
Erasmus MC
Master student Bioinformatics
October 1, 2012 – January 1, 2013
The Randstad, Netherlands
Skyline Diagnostics BV
Intern Bioinformatics
January 1, 2011 – June 1, 2011
The Randstad, Netherlands
TU Delft
Intern Bioinformatics
November 1, 2009 – April 1, 2010
Delft
Cultural Fit Analysis
The candidate's career path is exclusively within academia and research, which may present a cultural transition to a corporate data analyst role. While the analytical skills are highly transferable, the lack of experience in business-oriented projects, product development cycles, or direct stakeholder management in a commercial setting could be a gap. The diversity of projects is within a specific scientific domain (bioinformatics, genetics), which might limit breadth in other data analysis applications.
Soft Skills & Operational Fit
The candidate's extensive research background suggests strong problem-solving, critical thinking, and independent work skills. The collaborative nature of academic research implies experience in teamwork, though specific examples are not provided. The focus on scientific rigor and data interpretation aligns well with the operational demands of a data analyst role.