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Bioinformatician / Software Engineer (m / f / d) Gastroenterology

Bioinformatician / Software Engineer (m / f / d) Gastroenterology

Universitätsklinikum WürzburgWürzburg, DE
Vor einem Tag
Stellenbeschreibung

We offer

  • Competitive salary based on the TV-L E13 depending on degree and experience.
  • Access to state-of-the-art research facilities including our own GPU-server and collaboration with leading clinical centers across Germany.
  • Extensive professional development opportunities, including internal and external training and financial support for conferences.
  • Benefits such as free gym access, childcare facilities with extended hours, reduced parking fees, and a public transportation subscription.
  • Assistance with housing through our internal residential market and apartment houses.
  • The opportunity to live and work in Würzburg, a vibrant city renowned for its academic excellence, cultural attractions, and beautiful surroundings (www.mainfranken.org).

Your Tasks

The project focuses on colorectal cancer screening in patients with known familial adenomatous polyposis (FAP), using a combination of eye-tracking and artificial intelligence. The aim is to solve the problem of examining and tracking hundreds of colorectal polyps during a colonoscopy. Your AI applications will be tested in prospective clinical trials.

As a software engineer (m / f / d), you will play a vital role in advancing our research and creating innovative solutions, including :

  • Developing AI pipelines to analyze healthcare data and aid patients, physicians and caregivers.
  • Usage of libraries like PyTorch.
  • Development of annotation software based on eye-tracking and natural language processing
  • Collaborating with clinical experts to generate and collect data, improve usability and application design.
  • Supporting scientific work, including planning, executing, and evaluating clinical studies with a digital focus as well as writing scientific publications.

    • Your Profile

    Required :

  • Academic degree in life science, computer science or engineering (MSc or PhD).
  • Practical experience with data analysis, machine learning, and application development.
  • Proficiency in English (C1 level).
  • Experience in scientific research with proven track record of published work in peer-reviewed journals with a focus on medical applications.
  • Strong motivation, initiative, and teamwork orientation.
  • Residency in Germany to enable a quick start.

    • Optional :

  • German language skills (not mandatory).