Postdoctoral Research Opportunity in Bioinformatics (m/f/d)

Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26764
Postdoctoral Research Opportunity in Bioinformatics (m/f/d)
RNA modification and 5′ Cap Analysis via Nanopore Sequencing 

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wanted of the next possible date at the Clinic for Cardiology, Angiology, and Pulmonology.

The landscape of mRNA 5′ cap modifications is more diverse and dynamic than previously appreciated. This project aims to develop and apply a novel chemo-enzymatic method to label and extend the 5′ cap, enabling its detailed analysis through Oxford Nanopore Technologies (ONT).

Your role will be central in creating and applying bioinformatics and machine learning tools to analyze long-read data and decipher cap-specific signals from raw sequencing output. This project brings together chemical biology, molecular biology, and computational science to achieve direct, single-molecule resolution of RNA cap structures. 

• Job-ID: V000015123
• Field of application: Klinik für Kardiologie, Angiologie und Pneumologie
• Location: Heidelberg
• Job Category: Science and teaching
• Working hours: full-time (100 %)
• Published: 09.01.2026
• Limitation:Temporary (2 years, with the possibility of extension)
• Contract:TV-L

Your Tasks

• Develop and implement computational pipelines for processing and analyzing ONT RNA/cDNA sequencing data.
• Apply machine learning and signal processing approaches to classify cap types from raw signal traces.
• Collaborate closely with experimental researchers to guide experimental design and interpret data.
• Contribute to publications, presentations, and open-source tools related to the project.

Your Profile

Required Qualifications

• PhD in Bioinformatics, Computational Biology, Computer Science, Physics, or a related field.
• Strong programming skills (e.g., Python, R, C/C++) and experience with high-throughput sequencing data.
• Solid understanding of RNA biology, transcriptomics, and epitranscriptomics.

Desirable Skills

• Experience with Nanopore sequencing (RNA, cDNA, or DNA).
• Familiarity with machine learning, particularly in biological data contexts.
• Skills in signal processing, particularly time-series or nanopore signal data.
• Experience working in interdisciplinary teams.

What we offer

• Goal-oriented, individual training and development opportunities
• Working with the latest techniques / technical equipment 
• Possibility to publish scientifically is offered and supported
• Regular team meetings
• Interdisciplinary cooperation 
• (Partial) project management / project responsibility possible if suitable 
• Collectively agreed remuneration (TV-L E13), attractive company pension scheme (VBL)
• 30 days vacation
• Sustainable travel: job ticket
• Family-friendly working environment: cooperative arrangements for childcare, subsidy for child vacation care, advice for employees with relatives in need of care
• Wide range of health, prevention and sports offers

Contact & Application

Interested?

Applications will be accepted online.

Klinik für Kardiologie, Angiologie und Pneumologie
Prof. Dr. Christoph Dieterich
Im Neuenheimer Feld 669
69120 Heidelberg
Sekretariat.dieterich@med.uni-heidelberg.de

Note: The UKHD is subject to the provisions of the Infektionsschutzgesetz. Therefore, a valid measles immunity certificate is required for all persons employed at the UKHD.

The UKHD embraces diversity and values diversity.

Regardless of age, gender, sexual identity, disability, origin or religion, we offer everyone the same opportunities. If one gender is underrepresented in a particular area, we place particular emphasis on counteracting this imbalance. If they have the same aptitude, qualifications and professional performance, we give priority to people with severe disabilities when considering them for vacancies.

Classification is based on qualifications and personal requirements. The salary (gross) is for a full-time position and does not include the annual bonus or other allowances. 

Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26764