Postdoc position (m/f/d) computational biology / bioinformatics

 Senior staff scientist or Postdoc computational biology/bioinformatics (m/f/d) (fulltime)

The position will be hosted at the Institute of Human Genetics, in the workgroup "Regulatory Genomics" of Prof. Martin Kircher. The bioinformatics group performs research in the fields of sequence analysis, data mining, machine learning and functional genomics (https://kircherlab.github.io/). Our research focuses on computational approaches of identifying functionally relevant genetic changes in disease and adaptation as well as developing more sensitive methods in diagnostics (especially exome, genome and cell-free DNA sequencing). For example, we devise computational approaches (e.g. CADD, CADD-SV, ReMM) to score and identify functionally relevant genetic changes in the human genome. Understanding how gene regulation is encoded in our genomes across development and the diversity of cell-types is one of our fundamental research questions.

The position is immediately available. The contract will be issued for 3 years with the prospect of continuation.

What we offer:

• The salary will be based on the German E 13 TV-L scale if terms and conditions under collective bargaining law are fulfilled.
• Full-time employment, currently 38.5 hours/ week. Part-time employment may be compatible within the framework of certain working time models.
• A collaborative research environment that encourages and supports scientific curiosity, innovation, and development of its team members as well as Collaboration with internal and external partners
• Flexible working hours and a family-friendly environment
• You are welcome to inform yourself about our benefits under: Benefits (uksh.de)

Your responsibilities:

• Independent work on cutting-edge projects using state-of-the-art technology and actively contribute to the lab, institute and international collaborations
• Support ongoing projects and further develop relevant research areas and new projects as well support the preparation and implementation of third party funding projects
• Improve and develop methods to infer disease and regulatory mechanisms as well as gain insights into the sequence encoding of molecular function and its relation to disease as well as epigenetic and 3D genome annotations (e.g. through modeling and model interpretation)
• Develop data standards and prepare data for analysis or computational modeling as well analyze high-throughput sequencing data and develop custom computational tools
• Support the supervision and training of undergrad and graduate students and actively contribute to training and teaching, e.g. through lectures and seminars

Requirements:

• MSc, PhD or equivalent degree in bioinformatics, computational biology or similar, alternatively in computer sciences with extensive experience in molecular biology and large-scale data analysis (specifically high-throughput sequencing data) with at least three years of job experience (including potential years of PhD training). Applicants with a Bachelor degree (or equivalent) will be considered if they have at least 6 years of relevant work experience.
• Highly skilled in a programming language such as Python, R, C++, or Java and advanced skills in an analysis environment like R or Python scipy/scikit learn
• Experienced with Unix (incl. bash/GNU tools) and HPC environments and deep understanding of sequence analysis, statistical concepts and machine learning
• Advanced knowledge of molecular biology, gene regulation and epigenetics as well advanced science and project management skills
• Diligent, goal-orientated and independent work attitude as well team-orientated with interdisciplinary communication skills
• Very good English language skills

We look forward to receiving your application by 19.06.2024. Please quote the job reference number 24266 in your application.

Contact:

For questions about the position, please contact Prof. Martin Kircher: martin.kircher@uksh.de

We live diversity and strongly encourage qualified female scientists to apply. UKSH and the University of Lübeck aim to increase the number of women among faculty and staff. Applications from people with an immigrant background who meet the hiring requirements are encouraged. Disabled candidates who are equally qualified will receive preference.