Postdoctoral Research Bioinformatics; m​/f​/d

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.

• 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.

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.

Interested?

Applications will be accepted online.