Master Student - Aachen, Deutschland - Uniklinik RWTH Aachen

Uniklinik RWTH Aachen

Geprüftes Unternehmen

Aachen, Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

Job-Benachrichtigung per E-Mail

As a tertiary and quaternary level provider of medical care, the University Hospital of RWTH Aachen combines patient-oriented medicine and care, teaching and research at an international level.

The entire spectrum of medical care is provided through 36 specialist departments, 33 institutes and six interdisciplinary units.

The co-location of patient care, research and teaching in a central building offers the best conditions for intensive interdisciplinary exchange and close clinical and scientific networking.

Highly qualified teams of doctors, nurses and scientists work collaboratively to optimise the healthcare provision of our local, regional, national and international patients.

Around 9,000 employees ensure that our care delivery is patient-oriented medicine and surpasses the highest quality standards. With 1,400 beds, the university hospital treats around 50,000 inpatient and 200,000 outpatient cases per year.

The
Clinic for Gastroenterology, Metabolic Disorders and Internal Intensive Medicine (Medical Clinic III) is seeking a

Master student (f/m/d) - High Performance Computing and Data Science in Diet-Microbiota Interactions:
The position can start as soon as possible. This is a master thesis position with a duration of six months. We can offer various entry opportunities. More detailed information on the schedule will be happy to be consulted.

We are seeking a highly motivated and skilled Master student to join our DFG funded research team in exploring the intricate interplay between the gut and the liver, with a specific focus on the role of the gut microbiota and its relationship with diet and liver health.

This position offers an exciting opportunity to contribute to cutting-edge research in the field of biostatistics and data science while gaining valuable experience in high-performance computing environments and contributing to improved patient outcomes.

Tasks

Analyze the impact of nutritional patterns on the development of liver disease in ap opulationbased cohort using data from the Lifelines Biobank.
Utilize metabolomics and gut microbiota data, as well as questionnaires on nutritional patterns, to identify associations.
Employ statistical modeling techniques, including machine learning algorithms, to extract meaningful insights from complex datasets.
Perform data analysis and visualization to communicate findings effectively.

Profile

We are looking for
:

Scientifically interested and motivated students who would like to work on an exciting and relevant topic in our international team.

Join our dynamic research team and make a significant contribution to unraveling the complex relationships between diet, gut microbiota, and liver health.

Together, we aim to improve our understanding of the role of nutrition in liver disease development and pave the way for future interventions.

Bachelor's degree in a relevant field, such as Computer Science, Bioinformatics, Data Science, or a related discipline.
Strong analytical and problemsolving skills.
Excellent written and verbal communication skills in English.
Ability to work independently and collaboratively in a multidisciplinary research environment.
Passion for scientific research and a keen interest in gut microbiota, nutrition, and liver health.
Experience with High Performance Computing Environments, particularly Linux, is an essential prerequisite for this thesis.
Proficiency in parallel computing, including the ability to submit jobs with Slurm, is highly desired.
Comfortable with scripting languages such as bash for automation and task management.
Extensive programming experience in Python and R, with a strong understanding of statistical modeling and data analysis.
Ability to manipulate high volume and large datasets effectively.
Experience in process automation to streamline data workflows.
Willingness to learn and adapt to new biostatistics tools and techniques.
Interest in solving medical problems

We offer:

Careful and close supervision (1:1) with
structured training by the project supervisor (Carolin Schneider, MD) within an
established team with several
post-docs and doctoral students. The project supervisor works scientifically at the Medical Clinic III in Aachen as well as at the University of Pennsylvania.

Why should you choose us?
-
300 professions under one roof - more variety is not possible.

We offer performancebased remuneration in accordance with the provisions of
TV-L, including attractive public service benefits.
In addition to a wide range of further education and
training opportunities we offer a wide range of
health promotion options as well as the extensive university sports program.
Monthly employee discounts through our
corporate benefits program to save on private shopping.
Flexible working hours so that you can better combine work and private life, because your **worklife