Computer Biologist/ Bioinformatician - Oldenburg, Deutschland - Carl von Ossietzky Universität Oldenburg

Carl von Ossietzky Universität Oldenburg

Geprüftes Unternehmen

Oldenburg, Deutschland

vor 2 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

The research group of the Institute of Medical Genetics (Director Prof. Dr. med.

Marc-Phillip Hitz, PhD), Medical Campus of the University of Oldenburg, has a vacancy for the following position:

Computer biologist/bioinformatician (M/F/d)
(salary according to E13 TV-L, 100 %)

The position is to be filled as soon as possible for a period of 3 years with a potential extension afterwards.

The possibility for own scientific qualification (habilitation) is given and the position is also suitable for part-time work.

The position will be hosted at the Institute of Medical Genetics at the University of Oldenburg.

Our group uses multi-omic approaches (genomic, transcriptomic and epigenetic analysis) to elucidate the molecular basis of several human pathologies, including congenital heart diseases (CHD), cancer, and different rare diseases.

These cutting-edge approaches generate a large amount of valuable biological data.

The position holder is expected to perform sequencing data analysis, develop computational pipelines for pathogenic variant filtering, and identify genetic alterations and molecular mechanisms.

Your responsibilities:

Establish bioinformatic pipelines for evaluating diverse NGS datasets, including casecontrol association studies in cardiovascular genetics and other human diseases.
Establishment of cloudbased genomic NGS data analyses using GATK/Hail.
Perform variant prioritization analysis in patients with CHD
Establishment of machine learning frameworks for the analysis of spatial singlecell data sets
Participation in student teaching
Collaboration/proposal of scientific projects

Your qualifications:

Completed university degree (master or equivalent) in the natural and/or computational sciences.
Completed doctorate in Bioinformatics/Human Genetics or related fields.
Programming skills in Java, R or Python
Biostatistical knowledge
Proficient in spoken and written English.
Experience with various machinelearning techniques for analyzing proteomics, genomics and multiomics datasets using feature selection and neural networks is a valuable asset.
Experience analyzing large NGS datasets using GATK/Hailbased pipelines is a valuable plus

We offer:

An interdisciplinary and collaborative environment that supports innovation and professional development of team members.
Participation in the development of a young university team with creative freedom.
The possibility of independent scientific project work and habilitation.
Collaboration with national and international teams and consortia.
Salary according to the E13 TV-L German scale.
Familyfriendly environment.

Severely disabled persons will be given preference in the case of equal suitability.