Postdoc - Multiomics (m/f/d)

Uniklinik Köln; Köln; Vor Ort; EUR 60.000 - 80.000; Teilzeit

Zusammenfassung

A leading university hospital in Germany is seeking a researcher to work on antibiotic drug discovery for Mycobacterium tuberculosis. This role involves developing automated screening pipelines and collaborating with bioinformatics teams. Candidates must possess a PhD in Microbiology or a related field, with skills in high-throughput screening and automation. The position offers flexible work options and the potential for career growth within a supportive team environment.

Leistungen

Work-life balance options

Training opportunities

Interdisciplinary team culture

Strong career perspectives

Qualifikationen

• PhD in Microbiology or related field required.
• Experience in high-throughput screening and automation is essential.
• Knowledge of data handling and scripting is desirable.

Aufgaben

• Conduct antibiotic drug discovery studies targeting Mycobacterium tuberculosis.
• Develop and optimize screening pipelines for Mtb resistance.
• Integrate datasets for predictive modelling of resistance evolution.
• Coordinate robotic instrumentation for workflows.
• Collaborate with bioinformatics and microbiology teams.

Kenntnisse

High-throughput screening

Automation

Robotics platforms

Data handling

Scripting (R/Python)

Bioinformatics

Laboratory work with Mtb (BSL3)

Communication in English

Ausbildung

PhD in Microbiology, Biotechnology, Systems Biology or related field

Tools

Beckman Echo/Access liquid handler

Agilent Cytation 10

Jobbeschreibung

Your future with us

We are one of the leading university hospitals in Germany and network research, teaching and health care at the highest level. That's why many things are a lot bigger for us: the spectrum of exciting development opportunities. The limitless openness with which specialists from all over the world work together here. Or our commitment as an employer to support all employees as best we can in reconciling their job with their goals and life situations.

This is the University Hospital of Cologne: Everything but ordinary.

Your project in detail

The Translational Research Unit - Infectious Diseases (TRU-ID) within the Division for Clinical Infectious Diseases (Department I of Internal Medicine) conducts research aimed at improving our immunological understanding of infectious diseases. Our ultimate goal is to develop innovative therapies for serious bacterial infections like tuberculosis. With the support of our close network of partners at the University of Cologne, as well as our national and international collaborators, we are working to advance these innovative therapeutic concepts toward clinical application. Our studies are funded by the German Centre for Infection Research (DZIF), the Federal Ministry of Education and Research (BMBF), the German Research Foundation (DFG) and the European Union, among others.

As part of the DFG’s Collaborative Research Centre 1310 (Predictability in Evolution), your project will focus on implementing robotics-based, high-throughput screening workflows and integrating multi-omics data to study the evolutionary dynamics of Mtb antibiotic resistance. You will therefore take advantage of state-of-the-art equipment (e.g. a Beckman Echo/Access liquid handler workstation and an Agilent Cytation 10 confocal plate imager/reader) in BSL2 and BSL3 laboratories located at the Center for Molecular Medicine Cologne (CMMC) and the Translational Research in Oncology and Infectious Diseases (TRIO) building.

Applications from female candidates are expressly welcome and will be given priority in the event of equal suitability, competence and professional performance. People with disabilities are welcome to apply and will be treated preferentially in the event of equal suitability and qualification. The position is suitable for staffing with part-time employees.

Activities And Responsibilities

• Performance of state-of-the-art antibiotic drug discovery studies targeting Mycobacterium tuberculosis (Mtb) using an automated screening pipeline
• Development and optimization of these screening pipelines for Mtb fitness and resistance phenotyping
• Integration of transcriptomic, proteomic and phenotypic datasets for predictive modelling of Mtb resistance evolution
• Coordination of robotic instrumentation for large-scale liquid handling workflows
• Close collaboration with bioinformatics and microbiology teams within the CRC1310
• Performance of barcoding and recombineering-based strain engineering
• Presentation of the data within meetings as well as national and international congresses
• Publication of the results in high-impact journals

Qualification profile

• You hold a PhD in Microbiology, Biotechnology, Systems Biology or related field
• Experience in high-throughput screening, automation or robotics platforms
• Knowledge of data handling, scripting (R/Python), or bioinformatics pipelines is desirable
• Experience in laboratory work with Mtb (BSL3) is beneficial but not required
• Independent and structured work style, enthusiasm for interdisciplinary collaboration
• Excellent English communication skills, both spoken and written

Benefits

• Everything but ordinary: A key position at the interface between clinical studies and laboratory research
• Work-life balance: Whether full-time or part-time, with or without children - with numerous support options, we will find the right path together.
• Team spirit in R(h)ine culture: You will be warmly welcomed by an interdisciplinary team that values mutual respect and helpfulness.
• Strong perspectives: We offer extensive training opportunities - so you can continuously grow and set new goals.
• TV‑L E13 | 38.5 hrs/week (100 %) or part-time
• limited for 3 years according to WissZeitVG (Third‑party funded project) with option for extension