Universitätsklinikum Heidelberg

Postdoctoral Research Opportunity in Bioinformatics (m/f/d) - \n\n RNA modification and 5[...]

Stellenbeschreibung:

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.

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.

About us

Interested?

Applications will be accepted online.

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Stelleninformationen

  • Veröffentlichungsdatum:

    16 Feb 2026
  • Standort:

    Heidelberg
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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