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Hi, I am Marc

Marc Jermann (Stawiski)

Studying MSc Medical Informatics at FHNW University of Applied Sciences and Arts Northwestern Switzerland

I am looking for a new challenge in a job that will allow me to grow. With the assistance of my studies, I have gained remarkable programming abilities as well as broad understanding of general and medical-specific computer science. My horizon now is wide open. I foresee myself either working on Full-Stack solutions, creating and integrating machine learning solutions into applications, digitizing and optimising business processes, or doing all of the above. Along with my 10 years of experience in biology research labs and my new abilities in software development, I wish to apply what I’ve learned in new exciting projects.

Team Work
Critical thinking
Problem solving
Digital literacy
German, English
Spanish, French

Skills

Healthcare and Pharma IT
Healthcare and Pharma IT

Knowledge of the full lifecycle of healthcare data and its standards (HL7, DICOM, CDISC), including data sources like medical records and clinical trials, cleansing and integrating the various sources, managing and accessing the data in clinical information systems, analyzing and reporting the data using appropriate statistical, machine learning, and visualization techniques.
Biology
Biology

Comprehensive understanding of molecular biology, protein biology, anatomy, and immunology. Over ten years of experience working as a laboratory worker in fundamental and preclinical research laboratories.
Data Science
Data Science

Capability to process and analyze data and apply machine learning techniques. A comprehensive grasp of the most prevalent machine learning algorithms, from linear regression to LSTM neural networks.
Git
Git

Great experience with GIT version control as well as using CI/CD.
Linux
Linux

Using Linux as main operating system. Experienced in writing bash/shell scripts.
Docker
Docker

Very Experienced with using Docker as well as docker-compose to deploy software solutions at scale
BPMN
BPMN

Familiar in modelling a process with user inclusions. And capable to deploy and execute a BPMN model on a workflow engine.
Python
Python

Skilled with Python scripts, data processing, data analysis, and the application of machine learning methods.
R
R

Skilled with R scripts, data processing, data analysis, and the application of machine learning methods.
C
C

Familiar in using C scripts in for Arduino applications for the development of smart home applications
Java
Java

Capable to program object-oriented java projects, use Maven as a build automation tool.
Spring Boot
Spring Boot

Experienced in using Spring Boot to deliver backend solutions
React
React

Experienced in using React as a frontend solution

Projects

Developing a new data model for digital endpoints
Lead in Project Aug 2022 - Jan 2023

Developing a new data model for digital endpoints to enhance the interoperability of digital health technologies in the pharmaceutical industry. A model for measurements and derived data of sensor-based devices, such as data from infrared cameras in e-vitals to accelerator data from wearable devices, to facilitate data integration and the development of meaningful digital endpoints in the pharmaceutical industry.

professional academic Erwin Datamodeler CDISC FHIR
Using the Light Gradient Boosting Machine for Prediction in QSAR Models
Using the Light Gradient Boosting Machine for Prediction in QSAR Models
Lead in Project Apr 2022 - Jun 2022

An applied computational intelligence project to determine whether LightGBM is a suitable replacement for the random forest classifier widely used in QSAR models. Published and presented at the IJCACI 2022 conference.

academic Data Science Google Colab Scikit Learn GitHub
Star
GeneX
GeneX
Lead in Project Jan 2022 - Jun 2022

A Full-Stack application to search and filter for desired genes that have been downloaded from the NCBI FTP server using Java Spring Boot, Maven, Apache Tomcat, SQL, npm and React.

academic Full-Stack Spring Boot React Apache Tomcat GitLab
Star
Streamlit deployment of a Genotoxicity prediction app
Streamlit deployment of a Genotoxicity prediction app
May 2022 - Jun 2022

Deployment of a website, where virtual ames tests can be performed.

hobby Docker REST Streamlit
Details
Machine Learning development for Genotoxicity prediction
Machine Learning development for Genotoxicity prediction
Feb 2022 - Apr 2022

Enhancement of Ames-test using machine learning. Predicting the genotoxicity of small molecules using their SMILES.

academic Data Science Google Colab Scikit Learn GitHub
Star
Pharma24
Pharma24
Sep 2021 - Dez 2021

Digitization and automation of a hypothetical pharmaceutical prescription and dispensing procedure.

academic Business Process Digitalization BPMN DMN Camunda Integromat
PERSONALIS
PERSONALIS
Data Scientist Jun 2021 - Sep 2021

PERSONALIS, a clinical decision support system aimed to demultiplex complex autoimmune diseases by applying machine learning models to various types of medical and molecular datasets for the diagnosis and treatment.

academic Data Science Jupyter Notebook Scikit Learn GitLab KNIME
Details
Medical image application
Medical image application
Developer Feb 2021 - May 2021

Developing a PACS connected Web-application for organizing and describing medical images. A Full-Stack solution with the ability to filter results according to specific criteria or by using tags.

academic Full-Stack Spring Boot Keycloak React Docker GitLab CI/CD Full-Stack
SmartHome
Developer Feb2021 - Present

Create and program IoT smart home devices with Arduino boards and ESP32 boards using tools such as the MQTT protocol.

hobby Arduino RaspberryPis
HomeLab
Developer Present

Continuous learning when developing and deploying new microservices, as well as managing my own server and virtual machines at home and in the cloud.

hobby Servers NAS Oracle Cloud OS VMs Portainer Webserver

Experiences

1
Master Thesis in Digital Health
Novartis

Aug 2022 - Jan 2023, Basel

Master Thesis in digital delivery for Novartis’ Global Drug Development department

Responsibilities:
  • Master Thesis in Dr. Wolgang Schleifer’s team; I was responsible for the research and analysis of various software providers, as well as the development of a new data model for digital endpoints, to enhance the interoperability of digital health technologies.
Tutor for computer science subjects
University of Applied Sciences and Arts Northwestern Switzerland FHNW

Jan 2020 - Jan 2021, Muttenz

Student support in University of Life Sciences FHNW

Responsibilities:
  • I was responsible for the tutoring program for computer science subjects, providing tutoring for my fellow students in Java, and Python.
2
3
Biology Research Technician
University Hospital Basel

Aug 2014 - Jul 2022, Basel

Fundamental research in three diverent teams in the Department of Biomedicine

Responsibilities:
  • Diabetes research in PD Dr. Claudia Cavelti-Weder’s team; I was responsible for acquiring images of stained histology slides, developing scripts for image segmentation, and quantifying regions using image analysis tools such as ImageJ, Ilastik, Python, and shell script.
  • Diabetes research in Prof. Dr. Marc Donath’s team; I was in charge of characterizing transgenic mouse models using various assays, immunohistochemistry, and other biochemical approaches. In addition, I was responsible for obtaining supplies, breeding many lines of transgenic mice, doing laboratory upkeep, and setting up automated analysis of immunohistochemistry utilizing ImageJ, Ilastik, Python, and Shell-script.
  • Ocular pharmacology and physiology research in PD Dr. Albert Neutzner’s team; I was in charge of the cloning, expression, and purification of experimental proteins. I was also responsible for analyzing the level of reporter protein in microscope pictures using ImageJ and R.
Biology Research Technician
F. Hoffmann-La Roche AG

Aug 2012 - Jul 2014, Basel

Preclinical research for Roche’s Neuroscience Department

Responsibilities:
  • Preclinical research in neurodegenerative disorders in Dr.Markus Britschgi’s team; I was responsible for the characterization of experimental drugs for the treatment of Parkinson’s disease using immunohistochemistry, biochemical techniques, and transgenic mouse models.
4

Education
University of Applied Sciences and Arts Northwestern Switzerland FHNW
2021-2023
MSc. in Medical Informatics
Taken Courses
  • Digital Transformation in Healthcare
  • BioMedical Data Science
  • Medical Software Development
  • Digitalization of Business Processes
  • Artificial Intelligence in Drug Discovery
  • Applied Computational Intelligence
  • Innovation Trends in Medical Informatics
University of Applied Sciences and Arts Northwestern Switzerland FHNW
2018-2021
BSc. in Life Science Technologies | Medical IT
Grade: 5.6 out of 6
Taken Courses
  • Data Science
  • Software Development
  • Visualization and User Interaction
  • Imaging Techniques
  • Medical Information Systems
  • Bioinformatics
  • Management
Gymnasium Kirschgarten in Basel (evening classes)
2014-2017
Maturity
F. Hoffmann-La Roche AG
2010-2013
Apprenticeship, Biology Research Technician

Accomplishments

Best Paper Award
IJCACI 2022 Conference Oct 2022

Award for Best Paper in the category of Intelligent Systems for our paper Using the Light Gradient Boosting Machine for Prediction in QSAR Models presented in the 6th International Joint Conference on Advances in Computational Intelligence.

View Certificate
Graduation
University of Applied Sciences and Arts Northwestern Switzerland Aug 2021

Received Bachelor of Science (B.Sc.) in Life Science Technologies | Medical IT from University of Applied Sciences and Arts Northwestern Switzerland FHNW.