Postdoctoral Fellow in Multi-Omics and Machine Learning for Precision Medicine in Pediatric Leukemia

Postdoctoral Fellow in Multi-Omics and Machine Learning for Precision Medicine in Pediatric Leukemia

Uppsala University

Uppsala, Sweden

We are currently recruiting a driven postdoctoral researcher to join the Molecular Precision Medicine research group at the Department of Medical Sciences, located at the Uppsala Biomedical Center (BMC). The research group focuses on various diseases using large-scale genetic methods. Through close collaboration with clinical researchers at Uppsala University Hospital, our research group has access to unique sample collections and clinical patient information.

The project focuses on analyzing blood/bone marrow samples from children with leukemia, healthy controls, and in vitro cell models using various omics techniques. The achieve the overarching goal of advancing precision medicine in pediatric leukemia, we aim to identify circulating biomarkers that can differentiate high-risk patients from low-risk patients. This approach seeks to shorten chemotherapy treatment for low-risk patients, while specifically targeting the high-risk group. We will also conduct drug screenings for targeted therapies, testing promising new drugs currently in preclinical and early clinical trials.

Key Responsibilities:

• Analyze multi-omics data from pediatric leukemia samples and in vitro models, including genomic (WGS), transcriptomic (bulk and scRNA-seq), epigenomic (DNA methylation arrays), and proteomic (Olink Explore PEA, Illumina SomaSeq) data.
• Develop and apply machine learning models to identify disease subtypes and predict treatment responses.
• Collaborate with pediatric oncologists, bioinformaticians, and computational biologists, both within the research group and with our international partners.
• Write scientific articles and present the project’s results at scientific meetings and conferences.

Qualification Requirements:

• A doctoral degree (PhD) in bioinformatics, computational biology, molecular biology, or a related field, or a foreign degree deemed equivalent to a doctoral degree in any of these fields. The degree must be completed by the time the appointment decision is made. Candidates must have obtained their degree within the last three years. In calculating the three-year period, the application deadline is taken as the starting point. Extensions may be allowed for special reasons, such as leave due to illness, parental leave, or union commitments.
• Experience in large-scale data analysis and programming in relevant languages, such as Python and R.
• Proficiency in handling large datasets in a LINUX/UNIX environment.
• Experience with large-scale DNA or RNA sequencing.
• Experience with analysis of proteomics data, including data from affinity-based proteomics assays and/or mass spectrometry.
• Excellent communication and collaboration skills.
• Excellent verbal and written English skills.

Additional qualifications:

• Experience with multi-omics data integration.
• Competence in machine learning for biomedical applications.