Launch week offerEnds in00h00m00s

Publisher
source

Karolinska Institutet

PhD in Translational Breast Cancer Research, Molecular Oncology and Data Analysis Karolinska Institutet in Sweden

Degree Level

PhD

Field of study

Oncology

Funding

Fully funded PhD studentship with a contractual salary at Karolinska Institutet. The position is a doctoral studentship rather than a self-funded place; no tuition details are stated.

Deadline

Expired

Country flag

Country

Sweden

University

Karolinska Institutet

Suggested positions

Publisher
source

Karolinska Institutet

Country flag

Sweden

Postdoctoral researcher in liver disease epidemiology and biostatistics at Karolinska Institutet (Department of Medicine, Huddinge; location: Flemingsberg/Huddinge, Sweden). The Hagström research group is seeking one postdoc to lead a project on the bidirectional cardio-hepatic relationship , with a focus on liver disease epidemiology , biostatistics , and metabolic dysfunction-associated steatotic liver disease (MASLD) . The work uses unique clinical cohort data and nationwide registers to impr...

Epidemiology
Biostatistics
Biology
+3 more

3 weeks ago

Publisher
source

Linköping University

Country flag

Sweden

Postdoc in cancer systems biology at Linköping University, Sweden This postdoctoral opening is in the Division of Surgery, Oncology, and Orthopaedics (KOO), Department of Biomedical and Clinical Sciences (BKV), Faculty of Medicine, Linköping University. The project sits at the interface of cancer biology , immuno-oncology , systems biology , bioinformatics , and artificial intelligence , with a strong focus on metastatic progression, treatment resistance, and precision oncology. The recruited po...

Computer Science
Biology
Artificial Intelligence
+8 more

1 month ago

Publisher
source

Umeå University

Country flag

Sweden

Umeå University’s Department of Clinical Microbiology invites applications for a PhD position in medical science with a specialization in bioinformatics. The research project focuses on tracking strain-wide differences within human gut bacteria species during early childhood, aiming to improve understanding of adaptive mechanisms in gut microbiota and guide next-generation microbiota-aided therapies. The project investigates gut microbiota community development in children, analyzing longitudina...

Computer Science
Biology
Computational Biology
+6 more

6 months ago

Publisher
source

The University of Texas MD Anderson Cancer Center

Country flag

United States

MD Anderson Cancer Center is advertising a Postdoctoral Fellow in Genomic Medicine within the Wang Laboratory in Houston, Texas, United States. The lab is a computational biology research group focused on the tumor ecosystem, including tumor cells, the tumor microenvironment, tumor-immune-stroma crosstalk, transition from premalignant lesions to invasive cancer, metastasis, and therapeutic resistance. The project uses single-cell and spatial multi-omics , cellular imaging, immunogenomics, immune...

Computer Science
Cancer Biology
Biology
+6 more

3 weeks ago

Publisher
source

University of Miami

Country flag

United States

Postdoctoral Associate opportunity in cancer epigenetics, hematopoiesis, computational biology, bioinformatics, and genomic/epigenomic data analysis at the University of Miami , working in Dr. Stephen Nimer’s lab at the Sylvester Comprehensive Cancer Center / University of Miami Miller School of Medicine in Miami, Florida, United States . The project focuses on the molecular mechanisms of epigenetic regulation of cancer, with particular attention to normal and malignant hematopoiesis. The lab st...

Computer Science
Biostatistics
Biology
+6 more

4 weeks ago

Keywords

Oncology
Computer Science
Epidemiology
Biostatistics
Biology
Computational Biology
Cancer Research
Tumor Heterogeneity
Medical Science
Breast Cancer
Salud Pública
Metastasis
Statistics
Bioinformatic

About this position

PhD student opportunity in translational breast cancer research at Karolinska Institutet, within Linda Lindström’s research group.

The project focuses on understanding why some patients with breast cancer develop metastatic disease and die from the disease, with particular attention to molecular oncology, tumour heterogeneity, endocrine therapy, and long-term risk. The group studies breast cancer cohorts with long follow-up and uses complementary approaches that combine clinical data, statistical analysis, molecular analyses, and newer methods such as spatial proteomics and image analysis.

This is a fully funded PhD studentship with a contractual salary. The position is based in an interdisciplinary and international environment at Karolinska Institutet, with collaborations across the US, the Netherlands, Norway, and Spain. The doctoral student will work on analytical and practical tasks, scientific writing, seminars, and presentations, and may also contribute to coordination of patient information and molecular work.

Applicants should have a background in computational biology, biostatistics, bioinformatics, or a related field. Strong interest in cancer research, data analysis, and interdisciplinary work is important. Required eligibility includes a master’s degree or equivalent advanced study, plus English proficiency equivalent to English B/English 6. Merits include experience with breast cancer research, cancer biology, R/Python, molecular biology, and high-throughput methods such as gene expression profiling or RNA/DNA sequencing.

The application deadline is 25 June 2026. Interested candidates should review the vacancy details and submit their application through the provided portal link.

Funding details

Fully funded PhD studentship with a contractual salary at Karolinska Institutet. The position is a doctoral studentship rather than a self-funded place; no tuition details are stated.

What's required

Applicants must meet Karolinska Institutet doctoral eligibility requirements: a second-cycle/master qualification, or at least 240 credits with at least 60 credits at advanced level, or equivalent knowledge. English proficiency equivalent to English B/English 6 is required. The ideal candidate has an undergraduate background in computational biology, biostatistics, bioinformatics, or a related field, with strong interest in cancer research, molecular oncology, and data analysis. Merits include documented knowledge of breast cancer research or cancer biology, expertise in biostatistical and/or bioinformatics methods, proficiency in R and/or Python, knowledge of molecular biology and molecular oncology, and experience with high-throughput methods such as image analysis, spatial proteomics, gene expression profiling, or RNA/DNA sequencing. Strong communication skills in English and ability to work in an interdisciplinary, international environment are essential.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.

Professors

Lecturer

University Name
Country flag

Sweden

Research Interests

Epidemiology

Statistics

Breast Cancer

Computational Biology

Medical Science

Adjunct Senior Lecturer

University Name
Country flag

Sweden

Research Interests

Health Economics

Pharmacotherapy

Oncology

Cancer Research

Cancer Survivorship