PostDoc computational biology / bioinformatics (m/f/d)

 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.

Start in our team:

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

What we offer:

• A collaborative research environment that encourages and supports scientific curiosity, innovation, and development of its team members
• Advanced training in computational biology
• Collaboration with internal and external partners
• Participation in international meetings and scientific conferences
• Career development
• Salary based on the German E 13 TV-L scale, if terms and conditions under collective bargaining law are fulfilled. This for example also includes 30 paid vacation days per year.
• Flexible working hours and a family-friendly environment

Your role:

• Independent work on cutting-edge projects using state-of-the-art technology,
• Support ongoing projects and develop relevant research areas and new projects,
• Analyze high-throughput sequencing data and develop custom computational tools,
• Develop data standards and prepare data for analysis or computational modeling,
• Improve and develop methods to infer disease and regulatory mechanisms,
• 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),
• Actively contribute to the lab, institute and international collaborations,
• Support the supervision and training of undergrad and graduate students,
• Actively contribute to training and teaching, e.g. through lectures and seminars,
• Support the preparation and implementation of third party funding projects

Your profil:

• PhD or equivalent in bioinformatics, computation-al biology or similar, alternatively in computer sciences with extensive experience in molecular biology and large-scale data analysis (specifically high-throughput sequencing data)
• Advanced knowledge of molecular biology, gene regulation and epigenetics
• Highly skilled in a programming language such as Python, R, C++, or Java
• Deep understanding of sequence analysis, statistical concepts and machine learning
• Advanced skills in an analysis environment like R or Python scipy/scikit learn
• Experienced with Unix (incl. bash/GNU tools) and HPC environments
• Exposure to reproducible work and FAIR principles
• Advanced science and project management skills
• Diligent, goal-oriented and independent work attitude
• Team-oriented with interdisciplinary communication skills
• Very good English language skills

If you have any questions, do not hesitate to contact Prof. Martin Kircher: martin.kircher@uksh.de

We are looking forward to your application. Please submit your application until 01.06.2022, indicating your earliest possible starting date as well as the reference number 15771.

Only applications submitted through the application form can be considered. In addition to the information in the form fields, please provide one combined PDF document including a cover letter describing your motivation, a CV, as well as relevant certificates and letters supporting the required qualifications.