Profile

Data Scientist and Bioengineer with 6+ years of expertise in R and other programming languages. Experienced in analyzing complex biological datasets, including high-content imaging, RNA-seq, and flow cytometry. Passionate data and science and everything in between. Committed to delivering clear, impactful visualizations, reports, and interactive Shiny applications.

My shared experience from academia and industry allows me to

Develop automated analysis pipelines in R, with various data types from high-content imaging to RNA sequencing.
Speak languages of both IT professionals and biologists, enabling seamless collaboration between computational teams and researchers.
Engineer automation solutions that integrate laboratory data processing with downstream analysis and reporting, thereby accelerating experimental insights to researchers.
Design interactive and intuitive R Shiny applications to visualize complex datasets, enabling real-time exploration and interpretation of results by non-technical users.
Improve operational efficiency, reduce manual errors, and accelerate research timelines, delivering substantial value to the company by optimizing the flow from raw data generation to scientific insight.

Highlights

Demonstrated exceptional attention to detail by consistently delivering error-free, high-quality analyses and reports, ensuring accuracy and reliability in complex projects.
Leveraged natural public speaking abilities to effectively present technical findings and project updates to diverse audiences, enhancing understanding and stakeholder engagement.
Cultivated and maintained strong relationships with key stakeholders through clear communication, active listening, and proactive problem-solving, resulting in improved collaboration and project outcomes.

Data Scientist

Ncardia
Dec 2022 – Now

Create automated analysis pipelines for various lab-based instruments
Act as go-to point for any biostatistics-related challenges
Develop Machine Learning algorithms to improve differentiation efficiency of 3D bioreactor cultures
Make several Shiny dashboards with a broad range of use-cases: Experimental data, RNAseq, HCI-analysis, Liquid Nitrogen storage, stock products, project administration, etc.

PhD Researcher

Leiden University Medical Center, Dept. Anatomy and Embryology
Feb 2018 – Nov 2022

Developed iPSC-derived 3D heart-on-chip models for disease modeling and drug screening.
Designed and implemented custom Python and R pipelines for high-content image analysis.
Led cross-functional collaborations to optimize microfluidic platforms.

Major Science Project

University Medical Center Utrecht, Dept. Molecular Cancer Research
Mar 2015 – Aug 2016

Investigated proteins involved in E-cadherin mechanotransduction.
Automated live adherens junction co-localization studies using ImageJ scripting.

Minor Science Project

Regenerative Medicine Center Utrecht
Mar 2017 – Dec 2017

Explored hydrogel-based miRNA drug delivery in 3D osteoarthritis models.

Unrelated work-experience

Board Secretary, M.B.V. Mebiose (2014–2015)
Dataminer, Skinconsult B.V. (2014–2016)
Columnist, Tight Junction biomedical magazine (2014–2018)
Elderly Care, Vivium Zorggroep (2007–2013)

Languages

Dutch (native)
English (fluent)
French (conversational)

Hobbies

Volleyball trainer
Guitarist/drummer
Cycling
Hiking
Snowboarding
Nature

Jeroen Stein

Education