Research scientist PhD position (mfd) in computational and mathematical oncology

UKSH Universitätsklinikum Schleswig-Holstein

Job Location:

Kiel - Germany

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

Department of Internal Medicine II Hematology/Oncology Research project: Bioinformatics Core of the Research Unit CATCH ALL (Heads: Dr. Alina Hartmann PD Dr. Michael Forster Prof. Dr. Philipp Altrock)

Your project will integrate measurable residual disease (MRD) data from adult and pediatric patients with acute lymphoblastic leukemia (ALL) along with molecular (e.g. transcriptomic) and epidemiologic (e.g. sex differences) characterization. The goal is to better understand patient-specific disease evolution and treatment response bridging the value of broadly available kinetic information such as MRD with specialized characterizations such as single-cell transcriptomics. You will learn to develop and apply data-driven models that link longitudinal kinetics to molecular subtypes and clinical outcomes and to work toward digital-twin representations of leukemia. As part of your training you will learn and apply bioinformatics workflows and computational analyses that support the rich and growing data infrastructure of the DFG-funded Clinical Research Unit CATCH ALL ( in Kiel.

We are looking for a committed and curious team player to start as soon as possible in our interdisciplinary research group focused on computational cancer biology and mathematical oncology. The position is available within the Clinical Research Unit CATCH ALL. Close collaboration with clinical and basic oncology researchers bioinformatics experts and clinicians enables an interdisciplinary research environment driven by team science. We use and further develop methods from evolutionary dynamics stochastic processes neural network modeling machine learning and bioinformatics to advance our understanding of ALL evolution and improve personalized treatment selection and patient care.

Start in our team

We are looking for professional and competent support to startas soon as possiblelimited for 4 years.

What we offer:

The salary will be based on the German E13 TV-L scale if the terms and conditions under the collective bargaining law are fulfilled
Part-time employment currently 25 hours/week
Comprehensive training in bioinformatics pipelines computational biology biostatistics and mathematical modeling methods within a supportive interdisciplinary team
Access to extensive clinically annotated multi-omics datasets and state-of-the-art computational infrastructure including high-performance computing clusters
You can find more attractive UKSH benefits here: Benefits ()

Your tasks:

You will analyze and model longitudinal MRD data from adult and pediatric ALL patients in combination with RNA sequencing and other molecular characterizations
You will develop computational approaches to understand subtype-specific disease evolution and treatment response patterns
You will learn and contribute to bioinformatics workflows supporting the CATCH ALL data infrastructure including pipelines for multi-omics data integration and biostatistics
You work in an interactive context with other projects of the CATCH ALL research unit contributing to the molecular characterization of disease heterogeneity and mechanisms driving relapse

Your profile:

We are looking for an enthusiastic doctoral researcher with a degree (. or equivalent) in biology (bio)informatics physics mathematics or life sciences. Prior experience in bioinformatics computational modeling or data analysis is advantageous but not required. A strong willingness to learn is essential.
Basic knowledge in statistics machine learning or applied probability theory is beneficial as is a strong interest in independently acquiring an in-depth understanding of the project background and familiarizing yourself with novel methods.
Programming skills are required (Python R or similar); experience with high-dimensional or multimodal datasets is a plus.
A solid command of English is essential; the research groups working language is English.
If you are a focused hardworking individual ready to collaborate within the group and with its project partners we look forward to your application!

We look forward to receiving your application including a cover letter CV and at least two references. Please submit your application until 16.02.2026 include the reference number 27940.

Additional information: Prof. Dr. Philipp Altrock and Dr. Alina Hartmann

Required Experience:

Department of Internal Medicine II Hematology/Oncology Research project: Bioinformatics Core of the Research Unit CATCH ALL (Heads: Dr. Alina Hartmann PD Dr. Michael Forster Prof. Dr. Philipp Altrock)Your project will integrate measurable residual disease (MRD) data from adult and pediatric patients...