Job Description

Ihre Aufgaben



Support in the analysis of genomic data Application and analysis of NGS-based data sets and pipelines Application and further development of methods of artificial intelligence and machine learning

Ihre Qualifikationen



Degree (Diploma/M.Sc.) in Biology, Computer Science, Bioinformatics, Data Science, or a related field. Basic understanding of biological and biomedical concepts Expertise in computer science, data science, and machine learning Proficient in programming languages such as Python, Java, R, or JavaScript Enthusiasm for working with complex data models Interest in interdisciplinary collaboration Excellent English language skills in both written and spoken; knowledge of German is advantageous High motivation, teamwork, and initiative

Wir bieten



Structured and guided onboarding Diverse activities in a multidisciplinary, interdisciplinary team Support for internal and external training as well as scientific events Participation in structured PhD programs in Biology, Molecular Medicine, Computer Science, or Data Science

Einleitungstext



The Institute of Medical Bioinformatics at the University Medical Center Göttingen (UMG) is filling positions for



PhD candidates (m/f/d) in the field of Medical Bioinformatics



Duration: initially limited to two years with the option of extension, Part-time (65%) Compensation according to TV-L

About us:

Our institute is a leader in the bioinformatic analysis of genetic high-throughput data, particularly in the development of biomarker signatures and advanced approaches of machine learning for personalized and systems medicine.



Within different DFG or BMBF funded Collaborative Reserach Projects focused on for instance on pancreatic cancer, colorectal cancer, we pioneer the development of innovative computer-assisted methods in bioinformatics and artificial intelligence. This includes the analysis and integration of various OMICs data, including genomics, transcriptomics, and spatial transcriptomics.

PhD Topics:

Within these research groups, we offer ambitious young scientists the opportunity to work at the forefront of research in Medical Bioinformatics. Possible topics for doctoral theses are deeply rooted in the analysis of complex datasets and the development of methods essential for progress in the treatment of pancreatic and colorectal cancer.



Furthermore in context of our new project GöNoMix, we develop computational methods to reconstruct gene regulatory networks (GRNs) in emerging model organisms. We integrate ATAC-seq, RNA-seq and TFBS analyses, model WNT signaling, improve machine-learning methods and create tools for cross-species comparisons.



We are looking for PhD candidates interested in statistical data analysis, machine learning methods, gene regulation, bioinformatics, and integrative omics approaches.