PhD in Computational Immune Reprogramming at Lund University Lund University in Sweden

PhD position in Computational Immune Reprogramming at Lund University

This doctoral opportunity is in the Pereira Lab at Lund University, within the Department of Laboratory Medicine and the Faculty of Medicine. The project is part of the SciLifeLab Data-Driven Life Science (DDLS) program and the DDLS Research School.

The research focuses on computational biology, bioinformatics, single-cell RNA-seq, multi-omics, machine learning, and mathematical/statistical modelling to build a virtual screening platform for immune cell reprogramming. The student will analyze REPROcode data, identify induced immune cell states, map transcription factor networks, and predict new transcription factor combinations that drive immune identity. The broader biomedical context includes cancer immunotherapy, immunology, and cell fate reprogramming.

The lab studies how hematopoietic and immune cell identities are specified and modified, with translational interests in improving anti-tumor immune responses. The project is highly interdisciplinary and suited to candidates who enjoy combining computational and biological questions in a collaborative research environment.

Eligibility highlights: a Master’s degree or equivalent in a relevant field; experience with next-generation sequencing data, preferably single-cell and/or other omics data; programming in Python and/or R; familiarity with tools such as Seurat or Scanpy; strong English communication skills; and the ability to work independently and in teams. Additional experience in cancer immunology, immunotherapy, hematopoiesis, multi-omics integration, statistical modelling, machine learning, or data visualization is advantageous.

Funding and terms: the position is funded by DDLS, is a temporary doctoral appointment for four years, and includes a monthly salary. The start date is intended to be 1 October 2026 or as agreed.

Application window: published 13 April 2026; last application date 17 May 2026.

How to apply: submit the application through Lund University’s recruitment system. Prepare a one-page cover letter, CV with publications, a one-page description of previous computational work, degree documents, two letters of recommendation, and any other relevant supporting materials.