Lars Hulstaert
Data AnalystAI is analyzing your overall score…
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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
Director Data Science at Johnson & Johnson
Lars Hulstaert is a member of J&J's R&D Data Science & Digital Health organisation, within the real-world evidence and advanced algorithms (RWE/AA) group. Lars has over 7 years experience in data science, from hands-on building machine learning pipelines to leading teams of data scientists & data engineers. Much of Lars’ current work is focussed on supporting study design, accelerating clinical trials, improving R&D productivity and leveraging data science to support health equity and diversity in drug development. Before joining J&J, Lars worked as a Data Scientist at Microsoft. In this role, he provided technical consultancy with strategic customers to develop data science solutions. Lars has a master degree in Machine Learning from Cambridge University, where he won a Google Award for his research work in NLP and a Microsoft Award for his teaching. He has also completed a Engineering bachelor & master in Computer Science. Lars is passionate about healthcare, data science & education, enabling others through mentoring.
Ghent University
Master’s Degree, Computer Science
N/A – Present
University of Cambridge
Master of Philosophy (M.Phil.), Advanced Computer Science
N/A – Present
Ghent University
Bachelor's Degree, Computer Science
N/A – Present
Johnson & Johnson Innovative Medicine
Director, Data Science
May 1, 2025 – Present
Johnson & Johnson Innovative Medicine
Associate Director, Data Science
October 1, 2022 – May 1, 2025
Johnson & Johnson Innovative Medicine
Principal Data Scientist
April 1, 2022 – October 1, 2022
Johnson & Johnson Innovative Medicine
Senior Data Scientist
June 1, 2020 – April 1, 2022
Microsoft
Data Scientist
September 1, 2017 – May 1, 2020
Worldwide
DataCamp
Data Science Blogger and Advisory Board Member
June 1, 2017 – November 1, 2019
Antwerp Area, Belgium
Cambridge Spark
Machine Learning Tutor
May 1, 2017 – July 1, 2017
Greater Cambridge Area
Microsoft
Microsoft Student Partner
November 1, 2016 – July 1, 2017
Greater Cambridge Area
IBM
Extreme Blue Technical Intern
June 1, 2015 – September 1, 2015
Brussels Metropolitan Area
Exam 773 : Analyzing Big Data with Microsoft R
Microsoft
June 24, 2026 – Present
Microsoft Professional Program: Data Science and Machine Learning
Microsoft
June 24, 2026 – Present
Microsoft Professional Program: Big Data
Microsoft
June 24, 2026 – Present
Exam 774: Perform Cloud Data Science with Azure Machine Learning
Microsoft
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
MCSE: Data Management and Analytics
Microsoft
June 24, 2026 – Present
MCSA: Machine Learning
Microsoft
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in corporate environments (Johnson & Johnson, Microsoft, IBM) and has also engaged in educational and advisory roles (DataCamp, Cambridge Spark). This blend suggests adaptability and a proactive approach to knowledge sharing and continuous learning. The focus on AI/ML and data science aligns well with innovative, data-driven cultures. The candidate's experience in diverse industries (life sciences, tech) and roles (individual contributor, team lead, director) indicates a broad perspective and ability to integrate into various organizational structures. However, the target role is 'Data Analyst', which is a step down from 'Director, Data Science'. While the skills are highly relevant, the role alignment needs careful consideration regarding career progression and expectations.
Soft Skills & Operational Fit
The candidate's resume highlights leadership, project management, and collaboration skills through descriptions of leading teams, partnering with business stakeholders, and working in cross-functional environments. Experience as a blogger, tutor, and speaker also indicates strong communication and mentoring abilities. The progression through senior roles at Johnson & Johnson demonstrates operational effectiveness and strategic thinking.