Milou Brand

Senior Data Scientist @IQVIA

London, GB
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

May 2022 — Present

Senior Data Scientist @IQVIA

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The OMOP team uses OMOP/OHDSI as a systematic and standardized approach to RWE.My responsibilities can be summarised as followed- Leading large-scale, multi-country retrospective studies, fostering extensive network collaboration to deliver impactful real-world evidence on a daily basis- Reviewing junior data scientists\' cohorts for analysis and their R/SQL scripts- Developing and implementing of solutions for retrospective research studies and statistical methods- Authoring protocols and statistical analysis plans for epidemiological studies- Conducting client projects that range from simple studies to assess study feasibility to predictive models for determination of populations (phenotypes) or outcomes (patient-level predictions)- Teaching OMOP/OHDSI research methods to research institutions and other internal IQVIA teams- Presenting at international pharmacoepidemiocal conferences.

EDUCATION

2016 — 2019

London South Bank University

Doctor of Philosophy - PhD, Human Sciences

2008 — 2011

University of Groningen

Bachelor of Science (BSc), Human Movement Sciences

2012 — 2014

University of Groningen

Master of Science (MSc), Sport Sciences

2002 — 2008

Het Stedelijk Lyceum Zuid

VWO, Natuur en Gezondheid

ABOUT MILOU BRAND

I\'m passionate about delivering quality work through identifying and solving problems, analysing data, and translating results into practice. As a Sports Scientist, I strive to apply my knowledge by analysing data in projects to improve health, sport and wellbeing. Leadership and Collaboration: Led 20+ large-scale, multi-country pharmacoepidemiological studies, fostering extensive network collaboration and managing complex global projects. Skilled in mentoring teams, evidenced by supervising and guiding 4 junior data scientists and teaching across 3 subject areas in 15+ seminars for over 100 students. Technical Proficiency: Proficient in statistical programming and modeling using Python, R, SQL, Matlab, and Visual3D. Demonstrated expertise in real-world evidence analysis, analyzing data from over 1 billion patients, and consulting on RWE/OMOP best practices. Passionate Communicator: Successfully translated complex scientific data into accessible insights, as shown by 10+ accepted abstracts, 30+(conference) presentations, and blog posts. Recognized Innovator: Known for fostering innovation and inclusivity, actively seeking feedback to improve processes, celebrating team contributions, and inspiring excellence within collaborative environments.

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Milou Brand — Senior Data Scientist at IQVIA in London, GB | Unifers