Student Assistant

vor 2 Wochen

Aachen, Deutschland Uniklinik RWTH Aachen Vollzeit

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

**Student assistant (f/m/d) - HPC-Based Analysis of Big Data for Metabolic Disease Prevention**:
The position can start as soon as possible and is available as a part-time student job (HIWI) with flexible working hours, typically 6-10 hours per week. The initial appointment will be for a period of 6 months, with the possibility of extension based on performance and project needs. The job can also be extended to bachelor or master thesis.

**Tasks**
- Collaborate with the research team to identify specific research questions and objectives related to metabolic diseases within the UK Biobank dataset.
- Utilize High-Performance Computing (HPC) infrastructure to efficiently process and analyze large-scale datasets using and adjusting existing algorithms.
- Perform quality control checks to ensure accuracy and reliability of the analyzed data.
- Adjust and implement data analysis pipelines and workflows for efficient and reproducible analysis.
- Generate clear and concise reports, visualizations, and summaries of the analysis results.
- Contribute to research publications, presentations, and scientific discussions related to metabolic disease prevention using big data and AI.

**Profile**
- Currently enrolled at RWTH as a student in a relevant field (e.g., Bioinformatics, Biostatistics, Computer Science, Medicine or a related discipline).
- Strong interest in learning about medicine.
- Proficiency in data analysis and programming languages (e.g., Python, R, or similar).
- Familiarity with High-Performance Computing (HPC) environments and tools for efficient data processing and analysis.
- Solid understanding of statistical analysis methods and data visualization techniques.
- Excellent problem-solving skills and attention to detail.
- Ability to work independently as well as collaboratively within a multidisciplinary team.
- Effective communication skills to present findings and contribute to scientific discussions.

**We offer**:

- The opportunity to gain valuable research experience in a newly established research group focused on metabolic disease prevention.
- Hands-on experience with High-Performance Computing (HPC) techniques and large-scale datasets.
- Mentorship and guidance from diverse and experienced researchers in the field.
- A stimulating and collaborative research environment in our lab in Aachen.
- 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 performance-based remuneration in accordance with the provisions of **TV-L (EG 13)**, 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 **work-life balance **is important to us.
- Attractive conditions for public transport or discounted **employee parking** so that you have a relaxed commute.
- A **company kindergarten** so that your children are always close by

The salary based on the guidelines for student and research assistants.

This position is not gender specific.

The RWTH Aachen University Hospital promotes equal opportunities and diversity. Applications from women are expressly encouraged and if the applicant is suitable qualified, they will be given priority in accordance with the LGG. If suitably qualified, people with a registered disabili

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