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Research Associate (Postdoc) Computational Systems of Biology § 28 Subsection 2 HmbHG

Research Associate (Postdoc) Computational Systems of Biology § 28 Subsection 2 HmbHG

Research Associate (Postdoc) Computational Systems of Biology § 28 Subsection 2 HmbHG

Research Associate (Postdoc) Computational Systems of Biology § 28 Subsection 2 HmbHG

universität hamburg

Fach- und Hochschulen

Hamburg

  • Art der Anstellung: Vollzeit
  • 54.500 € – 62.000 € (von XING geschätzt)
  • Vor Ort

Research Associate (Postdoc) Computational Systems of Biology § 28 Subsection 2 HmbHG

Über diesen Job

Research Associate (Postdoc) Computational Systems of Biology § 28 Subsection 2 HmbHG

InstitutionFaculty of Mathematics, Informatics and Natural Sciences, Department of Informatics, Computational Systems Biology

Salary levelEGR. 13 TV-L

Start date01.03.2026, fixed for a period of three years (This is a fixed-term contract in accordance with Section 2 of the academic fixed-term labor contract act [Wissenschaftszeitvertragsgesetz, WissZeitVG]). The contract provides for a maximum extension of up to three years depending on the associate’s achievements during the first stage. Providing that a position is available and that requirements have been fulfilled, the associate may apply for temporary civil servant status in accordance with Section 28 subsection 2 HmbHG.

Application deadline13.08.2025

Scope of workfull-time position suitable for part-time

Your responsibilities

Duties include teaching and research in the respective department or institute. Research associates may also pursue independent research and further academic qualifications as well as acquire teaching experience. These duties are intended to promote academic achievement. Therefore, at least one-third of set working hours will be made available for the associate’s own academic work.

Teaching hours p/w: 4 LVS (Lehrveranstaltungsstunden).

Your profile

A university degree in a relevant field, plus doctorate.

Interdisciplinarily trained professional with strong expertise in informatics, molecular biology, and biomedical sciences. Possesses demonstrated skills in data science and machine learning, along with practical experience in analyzing diverse biological data sets, including omics and high-throughput sequencing data (such as NGS/Single Cell).

Proficient in utilizing biomedical databases, standard analysis workflows, and developing user-friendly bioinformatics tools. Experienced in working with Linux environments and skilled in multiple programming languages such as Python, R, and C/C++.

In addition, the candidate should have a proven track record of independently producing scientific publications. Experience in leadership and mentoring within teams, as well as a history of interdisciplinary collaboration, is also desired. Strong organizational skills, along with experience working on international scientific projects, giving presentations, and disseminating research findings, are important. Fluency in English is required, and basic knowledge of German would be a plus.

We offer

  • Reliable remuneration based on wage agreements
  • Continuing education opportunities
  • University pensions
  • Attractive location
  • Flexible working hours
  • Work-life balance opportunities
  • Health management, EGYM Wellpass
  • Educational leave
  • 30 days of vacation per annum

Universität Hamburg—University of Excellence is one of the strongest research educational institutions in Germany. Our work in research, teaching, educational and knowledge exchange activities is fostering the next generation of responsible global citizens ready to tackle the global challenges facing us. Our guiding principle "Innovating and Cooperating for a Sustainable Future in a digital age” drives collaboration with academic and nonacademic partner institutions in the Hamburg Metropolitan Region and around the world. We would like to invite you to be part of our community to work with us in creating sustainable and digital change for a dynamic and pluralist society.

The University of Hamburg is committed to equity. Diversity enriches our university life, whether in our studies, research, teaching, education, or workplace. We therefore welcome all applications, regardless of gender, gender identity, sexual orientation, ethnic or social background, age, religion or belief, disability, or chronic illness.

The University of Hamburg strives to increase the number of women in academia, and encourages qualified female academics to apply.

Severely disabled and disabled applicants with the same status will receive preference over equally qualified non-disabled applicants.

Gehalts-Prognose

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universität hamburg

Fach- und Hochschulen

5.001-10.000 Mitarbeitende

Hamburg, Deutschland

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