Application deadline: December 8, 2024

The Clinic for Internal Medicine II, Gastroenterology, at the University Hospital Würzburg is seeking a bioinformatician / software engineer (m/f/div) as a PhD candidate or postdoc starting February 1, 2025. This position is initially temporary with a high likelihood of extension based on performance and project needs.

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

We offer:

  • competitive salary based on the TV-L (E 13) 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/div), 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
  • using libraries like PyTorch
  • developing 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)