PhD in Clinical Cancer Biology and Bioinformatics (m/w/d) (Bioinformatiker/in)

“Research for a life without cancer" is our mission at the German Cancer Research Center. We investigate how cancer develops, identify cancer risk factors and look for new cancer prevention strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients can be treated more successfully. Every contribution counts – whether in research, administration or infrastructure. This is what makes our daily work so meaningful and exciting.

Together with university partners at seven renowned partner sites, we have established the German Cancer Consortium (DKTK).

The Department of Translational Cancer Research and the Institute of Experimental Cancer Therapy at the DKTK partner site Munich is offering for as soon as possible 2 PhD Student Positions in Pancreatic Cancer Immunology and Computational Biology.

We are deploying advanced in vitro and in vivo model systems, genetic perturbations and single cell technologies with spatial readouts to study the distinct routes of tumor evolution and modes of immunosuppression we identified in our previous work in subtypes of pancreatic cancer (e.g., Nat Commun. 2023 14:2642 and 14:1201; Nature Cancer 2022 3:318-336, Cancer Discovery 2021 11:3158-3177, Nature 2018 554:62-68; Nat. Rev. Cancer 2017 17:239-253; Nat. Commun. 2016, 7:10770; Nat Med. 2014, 20:1340-7). During the past decade, our lab has generated a comprehensive resource of pancreatic primary tumors and primary cell cultures. Multiple NGS methods and biological readouts have been conducted to decipher the molecular makeup and phenotypes of these tumors. The advertised projects focus on (1) unraveling targetable nodes of the cancer-immune niche and its impact on treatment response and resistance, (2) understanding the contribution of cancer associated fibroblasts towards immunosuppression, and (3) developing computational single cell and spatial transcriptomics pipelines to investigate tumor subtype specific genetic interactions in close collaboration with the Theis lab at Helmholtz Center Munich.

We are an enthusiastic and international team and offer intensive training and mentoring.

Your Tasks

The successful candidates will have the opportunity to:

- Gain important insights into clinically relevant aspects of cancer development and therapy
- Perform state-of-the-art in vivo experiments and large-scale drug and genetic screens
- Learn and apply a wide spectrum of genetic, molecular and cell biology, biochemical as well as immunological and bioinformatics techniques to study translational aspects of cancer (e.g. Cre/loxP and Flp/FRT based dual- and triple recombinase systems, organoid culture, orthotopic transplantations of cells/organoids, CRISPR/Cas9, molecular in vivo imaging, quantitative proteomics/phosphoproteomics, multiple transcriptomics and genomics approaches, single cell sequencing, histocytometry)
- Set up bioinformatics platforms and develop computational pipelines for the analysis of bulk and single cell RNA-sequencing, DNA-sequencing datasets and proteomics
- Integrate these datasets with molecular (WES, WGBS, lcWGS, ChIPseq, ATACseq), phenotypic (e.g. histology), drug screening and clinical information
- Interact within a diverse and multidisciplinary environment of biologists, clinicians, computational scientists and mathematicians within the TranslaTUM.

Your Profile

We are looking for exceptional self-motivated bright individuals with a Diploma or Master’s degree in bioinformatics, biochemistry, biology, molecular/translational medicine or related subjects. Previous exposure to and experience with basic biochemical and molecular biology techniques, proteomics or bioinformatics as well as interests in molecular aspects of cancer research are essential. Due to the interdisciplinary framework and close collaboration between wet-lab and computational scientists, good communicative skills in English are essential. German language skills are not required.

We Offer

- Excellent framework conditions: state-of-the-art equipment and opportunities for international networking at the highest level
- Access to international research networks
- Doctoral salary with the usual social benefits
- 30 days of vacation per year
- Flexible working hours
- Possibility of part-time work
- Family-friendly working environment
- Sustainable travel to work: subsidized Germany job ticket
- Unleash your full potential: targeted training and mentoring through the DKFZ International PhD Program and DKFZ Career Service
- Our Corporate Health Management Program offers a holistic approach to your well-being

Are you interested?

Then become part of the DKFZ and join us in contributing to a life without cancer!

Contact:

Prof. Dr. Dieter Saur
Phone: +49 89 4140 9130

​Duration: The positions are limited to 3 years. An extension is possible.

Application Deadline: 03.05.2025

Applications by e-mail cannot be accepted.

Please also note that we cannot return applications submitted by post.

We are convinced that an innovative research and working environment thrives on the diversity of its employees. Therefore, we welcome applications from talented people, regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical ability, religion and age. People with severe disabilities are given preference if they have the same aptitude.

Notice: We are subject to the regulations of the Infection Protection Act (IfSG). Therefore, all our employees must provide proof of immunity against measles.

“Research for a life without cancer" is our mission at the German Cancer Research Center. We investigate how cancer develops, identify cancer risk factors and look for new cancer prevention strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients can be treated more successfully. Every contribution counts – whether in research, administration or infrastructure. This is what makes our daily work so meaningful and exciting.

Together with university partners at seven renowned partner sites, we have established the German Cancer Consortium (DKTK).

The Department of Translational Cancer Research and the Institute of Experimental Cancer Therapy at the DKTK partner site Munich is offering for as soon as possible 2 Postdoc Positions in Pancreatic Cancer Immunology and Computational Biology.

We are deploying advanced in vitro and in vivo model systems, genetic perturbations and single cell technologies with spatial readouts to study the distinct routes of tumor evolution and modes of immunosuppression we identified in our previous work in subtypes of pancreatic cancer (e.g., Nat Commun. 2023 14:2642 and 14:1201; Nature Cancer 2022 3:318-336, Cancer Discovery 2021 11:3158-3177, Nature 2018 554:62-68; Nat. Rev. Cancer 2017 17:239-253; Nat. Commun. 2016, 7:10770; Nat Med. 2014, 20:1340-7). During the past decade, our lab has generated a comprehensive resource of pancreatic primary tumors and primary cell cultures. Multiple NGS methods and biological readouts have been conducted to decipher the molecular makeup and phenotypes of these tumors. The advertised projects focus on (1) unraveling targetable nodes of the cancer-immune niche and its impact on treatment response and resistance, (2) understanding the contribution of cancer associated fibroblasts towards immunosuppression, and (3) developing computational single cell and spatial transcriptomics pipelines to investigate tumor subtype specific genetic interactions in close collaboration with the Theis lab at Helmholtz Center Munich.

We are an enthusiastic and international team and offer intensive training and mentoring.

The Department of Translational Cancer Research and the Institute of Experimental Cancer Therapy at the DKTK partner site Munich is seeking two postdocs to join the group as soon as possible.

Your Tasks

The successful candidates will have the opportunity to:

- Gain important insights into clinically relevant aspects of cancer development and therapy
- Perform state-of-the-art in vivo experiments and large-scale drug and genetic screens
- Learn and apply a wide spectrum of genetic, molecular and cell biology, biochemical as well as immunological and bioinformatics techniques to study translational aspects of cancer (e.g. Cre/loxP and Flp/FRT based dual- and triple recombinase systems, organoid culture, orthotopic transplantations of cells/organoids, CRISPR/Cas9, molecular in vivo imaging, quantitative proteomics/phosphoproteomics, multiple transcriptomics and genomics approaches, single cell sequencing, histocytometry)
- Set up bioinformatics platforms and develop computational pipelines for the analysis of bulk and single cell RNA-sequencing, DNA-sequencing datasets and proteomics
- Integrate these datasets with molecular (WES, WGBS, lcWGS, ChIPseq, ATACseq), phenotypic (e.g. histology), drug screening and clinical information
- Interact within a diverse and multidisciplinary environment of biologists, clinicians, computational scientists and mathematicians within the TranslaTUM.

Your Profile

We are looking for exceptional self-motivated bright individuals with a Diploma or Master’s degree in bioinformatics, biochemistry, biology, molecular/translational medicine or related subjects. Previous exposure to and experience with basic biochemical and molecular biology techniques, proteomics or bioinformatics as well as interests in molecular aspects of cancer research are essential. Due to the interdisciplinary framework and close collaboration between wet-lab and computational scientists, good communicative skills in English are essential. German language skills are not required.

Interested candidates should send one pdf file with a CV, cover letter, certificates, and letters of recommendation.

We Offer

- Excellent framework conditions: state-of-the-art equipment and opportunities for international networking at the highest level
- Remuneration according to TV-L incl. occupational pension plan and capital-forming payments
- 30 days of vacation per year
- Flexible working hours
- Possibility of part-time work
- Family-friendly working environment
- Sustainable travel to work: subsidized Germany job ticket
- Our Corporate Health Management Program offers a holistic approach to your well-being
- Develop your full potential: access to the DKFZ International Postdoc Program and DKFZ Career Service with targeted offers for your personal development to further develop your talents

Are you interested?

Then become part of the DKFZ and join us in contributing to a life without cancer!

Contact:

Prof. Dr. Dieter Saur
Phone: +49 89 4140 9130

​Duration: The positions are initially limited to 2 years with the possibility of prolongation.

Application Deadline: 03.05.2025

Applications by e-mail cannot be accepted.

Please also note that we cannot return applications submitted by post.

We are convinced that an innovative research and working environment thrives on the diversity of its employees. Therefore, we welcome applications from talented people, regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical ability, religion and age. People with severe disabilities are given preference if they have the same aptitude.

Notice: We are subject to the regulations of the Infection Protection Act (IfSG). Therefore, all our employees must provide proof of immunity against measles.

Ludwig-Maximilians-Universität München is a leading research university in Europe. Since its founding in 1472 it has been committed to the highest international standards of excellence in research and teaching.

Institution Faculty of Medicine - Biomedical Center, Physiological Chemistry Department

Remuneration group TV-L

Full-time / Part-time Full-time (100%)

Start date Flexible, between July and September 2025

Application deadline 2025-04-30

About us:

The Russo lab is a new research group in the Physiological Chemistry Department and is funded, among others, by an Emmy Noether (DFG) grant. We are looking for a highly motivated Computational Postdoctoral Fellow to help establish this research group from the ground up, shaping an innovative and dynamic lab environment together.

The Russo lab investigates how nuclear acyl-CoA metabolism influences chromatin remodelling, transcriptional regulation, and cellular plasticity. Although acyl-CoA-producing enzymes have been extensively studied in the mitochondrial compartment for decades, emerging evidence suggests they are also present and functional in the nucleus, where they play a key role in gene regulation.

By employing omics-based approaches, metabolite tracing, proximity-labeling, and advanced imaging techniques,

this project offers a unique opportunity to:

- Explore how nuclear metabolic enzymes functionally regulate gene expression and chromatin modifications during cellular responses to external stimuli.
- Identify novel protein-protein interactions between these nuclear metabolic enzymes and chromatin factors.
- Study the biochemical and structural properties of these metabolic enzymes in the nuclear context.

We are looking for you:

Computational Postdoctoral positions in Gene Regulation and Chromatin Metabolism (m/f/x)

in Planegg-Martinsried

Your tasks and responsibilities:

- Lead bioinformatics research on nuclear acyl-CoA metabolism and chromatin regulation.
- Analyze functional genomics and proteomics datasets to study transcriptional regulation.
- Develop and implement computational pipelines for multi-omics data integration with support from Core Facility Bioinformatics.
- Mentor PhD students in computational techniques and contribute to collaborative projects.
- Develop independent research questions and apply for competitive fellowships.

Your qualifications:

- PhD in Bioinformatics, Computational Biology, Genomics, or a related discipline.
- Experience in the analysis of functional genomics and proteomics data.
- Familiarity with chromatin and transcriptional regulation.
- Ability to work independently and collaboratively in an interdisciplinary setting.
- Strong scientific writing and communication skills.

Benefits:

- Fully funded Postdoc position with competitive salaries according to TV-L scale.
- Access to professional development programs at LMU, including workshops, training, and career support for postdoctoral researchers.
- Access to cutting-edge core facilities in genomics, proteomics, imaging, and computational biology on-site.
- Close supervision and mentorship to support scientific and career development.
- Financial support for conference participation and workshops.
- A stimulating and interdisciplinary research environment at the BMC (https://www.med.lmu.de/bmc/en/about-us/campus-life/) , LMU Munich, part of the HighTech Campus, home to leading research institutes and fostering collaboration and access to top-tier facilities.
- Work in a highly international, collaborative, and interdisciplinary research setting.
- Many opportunities to help shape our BMC initiatives (https://www.med.lmu.de/bmc/en/about-us/our-values/)  (e.g. BMC Green Lab, Public Outreach, BMC Diversity and BMC Postdoc)
- Compatibility of family and science (e.g. parent room and kindergarten on campus, school holiday and emergency child care)
- Numerous LMU employee benefits (https://www.med.lmu.de/bmc/en/jobs-career/working-here/) , e.g. discounted fitness and cultural offers, job public transport ticket, Jobbike as well as several canteens and excellent cafés on campus
- Annual special payment, 30 days of vacation and additional pension scheme

We welcome applications from all backgrounds. The promotion of diversity is an important strategic goal at BMC. This is reflected in the BMC Code of Conduct (https://www.med.lmu.de/bmc/en/about-us/our-values/bmc-code-of-conduct/) , which actively promotes diversity and equal opportunities.

Destination Germany

Do you have questions about visa requirements or degree recognition? Are you looking for housing, childcare, or trying to decide on the best health insurance? The "Research in Bavaria (https://www.research-in-bavaria.de/moving-to-germany/) " website provides help in these practical matters.

Also possible in a part-time capacity.

People with disabilities who are equally as qualified as other applicants will receive preferential treatment.

Contact:

Application Process
Interested candidates should submit a single PDF file (max. 5 MB) containing:

- Curriculum Vitae (PDF file, max. 2 pages, written in English).
- Short description of research projects carried out during your studies (e.g., PhD thesis). Please describe the rationale and goals of the research, and highlight your contributions to the results (approx. 300 words).
- Description of your general research interests (approx. 200 words).
- What do you find interesting about our research group and topics? (approx. 200 words).
- Transcript (record of study) and degree certificate for all completed degrees. Please also include any supplementary information provided by the university, if available.
- Temporary/provisional transcripts for any ongoing degree programs.
- Contact details for at least two referees, including at least one direct supervisor who has worked with you for at least six months.

Important dates
Important dates
Application deadline: 30/04/2025
Start date: Flexible, between July and September 2025
Contact & Submission: Please send applications to [email protected] (https://mailto:[email protected])  with the subject “Application for Postdoc Position – BMC_LMU Munich”.

Further websites: Russo Lab page (https://www.med.lmu.de/bmc/en/research/research-groups/russo-lab/)

Where knowledge is everything.

LMU researchers work at the highest level on the great questions affecting people, society, culture, the environment and technology — supported by experts in administration, IT and tech. Become part of LMU Munich! (https://www.lmu.de/en/about-lmu/working-at-lmu/index.html)

In the course of your application for an open position at Ludwig-Maximilians-Universität (LMU) München, you will be required to submit personal information. Please be sure to refer to our LMU Privacy Policy (https://www.lmu.de/en/footer/privacy-disclaimer/index.html) . By submitting your application, you confirm that you have read and understood our data protection guidelines and privacy policy and that you agree to your data being processed in accordance with the selection process.

Ludwig-Maximilians-Universität München
Geschwister-Scholl-Platz 1
80539 München

Die Ludwig-Maximilians-Universität München ist eine der führenden Universitäten in Europa mit einer über 500-jährigen Tradition. Sie steht für anspruchsvolle akademische Ausbildung und herausragende Forschung.

Einrichtung Medizinische Fakultät - Pathologisches Institut

Vergütung TV-L E13

Umfang Teilzeit (65%)

Besetzungsdatum Zum nächstmöglichen Zeitpunkt

Bewerbungsfrist 23.02.2025

Das sind wir:

ist am Pathologischen Institut der LMU angesiedelt, im lebendigen Herzen Münchens (Thalkirchner Str. 36, 80337 München). Wir sind ein dynamisches und interdisziplinäres Team von Krebsforschern mit einer Leidenschaft für die klinische Translation. Unsere Arbeit kombiniert modernste multidimensionale Tumorcharakterisierung, fortschrittliche klinische Modellsysteme, Bioinformatik und KI. Das Labor wird von der Deutschen Krebshilfe (Max-Eder-Programm) gefördert. Mehr über uns erfahren Sie .

Wir suchen Sie:

PhD in Clinical Cancer Biology and Bioinformatics (m/w/d)

am Standort München

Das sind Ihre Aufgaben:

- Erlangen Sie Einblicke in die Laborarbeit und analysieren Sie Daten aus Single-Cell-Techniken (snRNA-seq, 10x Genomics) sowie räumlichen Biologie-Methoden (sequenzielle Immunfluoreszenz mit Lunaphore COMET; räumliche Transkriptomik mit Xenium, 10x Genomics).
- Durchführen und Analysieren von Illumina-basierten Next-Generation-Sequenzierungen (Novaseq XP)
- Übernehmen Sie eine führende Rolle bei der Analyse quantitativer biologischer Daten und unterstützen Sie andere bei deren Interpretation.

Das sind Sie:

- Ein Masterabschluss (oder gleichwertig) in Bioinformatik, Informatik, Physik, Immunologie, Molekularbiologie, Biomedizin oder verwandten Naturwissenschaften
- Erfahrung in Molekularbiologie und Next-Generation-Sequenzierung
- Umfassende Kenntnisse in der quantitativen Datenanalyse und Programmierfähigkeiten in relevanten Sprachen (z. B. R und/oder Python)
- Sehr gute Englischkenntnisse
- Eine offene und kommunikative Persönlichkeit mit ausgeprägten Teamfähigkeiten
- Kritisches Denkvermögen und die Fähigkeit, selbstständig zu arbeiten.

Das ist unser Angebot:

- Kooperationsmöglichkeiten mit Forschungsgruppen im Bereich Maschinelles Lernen sowie KI-Startups
- Umfassende Einarbeitung in einer unterstützenden, interaktiven und dynamischen Forschungsumgebung
- Zugang zu modernster Infrastruktur
- Flexible Arbeitszeiten
- Nutzung professioneller Karriereentwicklungsangebote der LMU
- Kostenlose Parkmöglichkeiten und ein zentral gelegener Arbeitsplatz in München, in einem lebendigen Viertel mit exzellenter Anbindung an den öffentlichen Nahverkehr.

Wir begrüßen Bewerbungen von Menschen aller Hintergründe und schätzen Vielfalt.

Schwerbehinderte Personen werden bei im Wesentlichen gleicher Qualifikation bevorzugt.

Kontakt:

Bitte senden Sie Ihre Bewerbungsunterlagen an Dr. Dr. Andreas Mock: [email protected] (https://mailto:[email protected])

Wir freuen uns auf Ihre vollständige Bewerbung (ein PDF, max. 2MB), die folgende Unterlagen enthält:

- 1. Lebenslauf (max. zwei Seiten, in englischer Sprache)
- 1. Notenübersicht
- 1. Kurzes Motivationsschreiben zu Ihrem Forschungsinteresse und den Gründen für Ihre Bewerbung (max. eine Seite)
- 1. Kontaktdaten von drei Referenzen und deren Beziehung zu Ihnen (eine Referenz sollte der Betreuer bzw. die Betreuerin Ihrer Masterarbeit sein)

Wo Wissenschaft alles ist.

An der LMU arbeiten Wissenschaftlerinnen und Wissenschaftler auf höchstem Niveau an den Zukunftsfragen um Mensch, Gesellschaft, Kultur, Umwelt und Technologie, unterstützt durch kompetente Beschäftigte in Verwaltung, IT und Technik. Werden Sie Teil der LMU München! (https://www.lmu.de/de/die-lmu/arbeiten-an-der-lmu/index.html)

Im Rahmen Ihrer Bewerbung auf eine Stelle an der LMU übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu die Datenschutzerklärung der LMU (https://www.lmu.de/de/footer/datenschutz/index.html)  für den Internetauftritt. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzinformationen zur Kenntnis genommen haben und mit der Datenverarbeitung im Rahmen des Auswahlverfahrens einverstanden sind.

Ludwig-Maximilians-Universität München
Geschwister-Scholl-Platz 1
80539 München

Die Ludwig-Maximilians-Universität München ist eine der führenden Universitäten in Europa mit einer über 500-jährigen Tradition. Sie steht für anspruchsvolle akademische Ausbildung und herausragende Forschung.

Einrichtung Medizinische Fakultät

Vergütung TV-L E13

Umfang Teilzeit (65%)

Besetzungsdatum Zum nächstmöglichen Zeitpunkt

Bewerbungsfrist 23.02.2025

Das sind wir:

Das Mock Lab ist am Pathologischen Institut der LMU angesiedelt, im lebendigen Herzen Münchens (Thalkirchner Str. 36, 80337 München). Wir sind ein dynamisches und interdisziplinäres Team von Krebsforschern mit einer Leidenschaft für die klinische Translation. Unsere Arbeit kombiniert modernste multidimensionale Tumorcharakterisierung, fortschrittliche klinische Modellsysteme, Bioinformatik und KI. Das Labor wird von der Deutschen Krebshilfe (Max-Eder-Programm) gefördert. Mehr über uns erfahren Sie unter .www.mocklab.de (https://www.med.lmu.de/pathologie/de/forschung/ag-mock/) .

Wir suchen Sie:

PhD in Computational Pathology (m/w/d)

am Standort München

Das sind Ihre Aufgaben:

- Einsatz von maschinellem Lernen und KI zur Analyse sehr großer klinischer Kohorten (&1000 Patienten) von histopathologischen Schnitten und Gewinnung von Erkenntnissen für die histopathologische Diagnostik.
- Integration von Bilddaten mit biologischen Daten („Omics“).
- Entwicklung digitaler Biomarker und Entscheidungsunterstützungstools für die Krebsdiagnostik.
- Weiterentwicklung der räumlichen Analyse biologischer Datensätze (z. B. räumliche Transkriptomik).

Das sind Sie:

- Ein Masterabschluss (oder gleichwertig) in Maschinellem Lernen, Bioinformatik, Informatik, Physik, Biomedizin oder verwandten Naturwissenschaften.
- Umfassende Kenntnisse in der quantitativen Datenanalyse und Programmierfähigkeiten in relevanten Sprachen (insbesondere Python).
- Sehr gute Englischkenntnisse.
- Eine offene und kommunikative Persönlichkeit mit ausgeprägten Teamfähigkeiten.
- Kritisches Denkvermögen und die Fähigkeit, selbstständig zu arbeiten.

Das ist unser Angebot:

- Kooperationsmöglichkeiten mit Forschungsgruppen im Bereich Maschinelles Lernen sowie KI-Startups.
- Umfassende Einarbeitung in einer unterstützenden, interaktiven und dynamischen Forschungsumgebung.
- Zugang zu modernster Infrastruktur.
- Flexible Arbeitszeiten.
- Nutzung professioneller Karriereentwicklungsangebote der LMU.
- Kostenlose Parkmöglichkeiten und ein zentral gelegener Arbeitsplatz in München, in einem lebendigen Viertel mit exzellenter Anbindung an den öffentlichen Nahverkehr.

Wir begrüßen Bewerbungen von Menschen aller Hintergründe und schätzen Vielfalt.

Schwerbehinderte Personen werden bei im Wesentlichen gleicher Qualifikation bevorzugt.

Kontakt:

Bitte senden Sie Ihre Bewerbungsunterlagen an Dr. Dr. Andreas Mock: [email protected] (https://mailto:[email protected])

Wir freuen uns auf Ihre vollständige Bewerbung als einzelne PDF-Datei (max. 2 MB), die folgende Unterlagen enthält:

- 1. Lebenslauf (max. 2 Seiten, in englischer Sprache)
- 2. Notenübersicht
- 3. Kurzes Motivationsschreiben zu Ihrem Forschungsinteresse und den Gründen für Ihre Bewerbung (max. 1 Seite)
- 4. Kontaktdaten von drei Referenzen und deren Beziehung zu Ihnen (eine Referenz sollte der_die Betreuer_in Ihrer Masterarbeit sein)

Wo Wissenschaft alles ist.

An der LMU arbeiten Wissenschaftlerinnen und Wissenschaftler auf höchstem Niveau an den Zukunftsfragen um Mensch, Gesellschaft, Kultur, Umwelt und Technologie, unterstützt durch kompetente Beschäftigte in Verwaltung, IT und Technik. Werden Sie Teil der LMU München! (https://www.lmu.de/de/die-lmu/arbeiten-an-der-lmu/index.html)

Im Rahmen Ihrer Bewerbung auf eine Stelle an der LMU übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu die Datenschutzerklärung der LMU (https://www.lmu.de/de/footer/datenschutz/index.html)  für den Internetauftritt. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzinformationen zur Kenntnis genommen haben und mit der Datenverarbeitung im Rahmen des Auswahlverfahrens einverstanden sind.

Ludwig-Maximilians-Universität München
Geschwister-Scholl-Platz 1
80539 München

Ludwig-Maximilians-Universität München is a leading research university in Europe. Since its founding in 1472 it has been committed to the highest international standards of excellence in research and teaching.

Institution Faculty of Medicine

Remuneration group TV-L E13

Full-time / Part-time Part-time (65%)

Start date 01.04.2025

Application deadline 2025-02-16

About us:

The  is based at the Institute of  LMU, in the vibrant heart of Munich (Thalkirchner Str. 36, 80337 Munich). We are a dynamic and interdisciplinary team of cancer researchers driven by a passion for clinical translation. Our work leverages cutting-edge multidimensional tumor characterization, advanced clinical model systems, bioinformatics, and AI. The lab is supported by the Deutsche Krebshilfe (Max-Eder-Program). Learn more about us at .

We are looking for you:

PhD in Computational Pathology (m/f/x)

in Munich

Your tasks and responsibilities:

- Use machine learning and AI to analyze very large clinical cohorts (&1.000 patients) of histopathological slides and get insights into histopathology diagnostics
- Integrate image data with biological data (“omics”)
- Develop digital biomarkers and decision-support tools for cancer diagnostics
- Further develop spatial analysis of biological data sets (e.g. spatial transcriptomics).

Your qualifications:

- A Master degree (or equivalent) in machine learning, bioinformatics, informatics, physics, biomedicine or related science fields
- Extensive proficiency in quantitative data analysis and programming skills in relevant languages (most importantly Python)
- Strong command of English
- An open and outgoing personality with exceptional teamwork skill
- Ability to think critically and work independently.

Benefits:

- Opportunities for collaboration with machine learning research groups at other universities and AI startups
- Comprehensive onboarding in a supportive, interactive, and dynamic research environment
- Access to state-of-the-art infrastructure
- Flexible working hours
- Access to professional career development services within LMU
- The salary will be based on TV-L ‘Entgeltgruppe’E13
- Free parking and a centrally located workplace in Munich, situated in a vibrant neighborhood with excellent public transport connections

People with disabilities who are equally as qualified as other applicants will receive preferential treatment.

Contact:

Please send application materials to Dr. Dr. Andreas Mock: [email protected] (https://mailto:[email protected])

We look forward to receiving your complete application as a single PDF file (max. two MB), including the following requirements:

1. Curriculum Vitae (max. two pages, written in English)
2. Transcript of records
3. Short statement of your research interest and why you choose to apply for this position (max. one page)
4. Contact details from three referees and how they interacted with you (one referee should be the supervisor of your Master thesis)

Where knowledge is everything.

LMU researchers work at the highest level on the great questions affecting people, society, culture, the environment and technology — supported by experts in administration, IT and tech. Become part of LMU Munich! (https://www.lmu.de/en/about-lmu/working-at-lmu/index.html)

In the course of your application for an open position at Ludwig-Maximilians-Universität (LMU) München, you will be required to submit personal information. Please be sure to refer to our LMU Privacy Policy (https://www.lmu.de/en/footer/privacy-disclaimer/index.html) . By submitting your application, you confirm that you have read and understood our data protection guidelines and privacy policy and that you agree to your data being processed in accordance with the selection process.

Ludwig-Maximilians-Universität München
Geschwister-Scholl-Platz 1
80539 München

Ludwig-Maximilians-Universität München is a leading research university in Europe. Since its founding in 1472 it has been committed to the highest international standards of excellence in research and teaching.

Institution Faculty of Medicine

Remuneration group TV-L E13

Full-time / Part-time Part-time (65%)

Start date 01.04.2025

Application deadline 2025-02-16

About us:

is based at the Institute of, LMU, in the vibrant heart of Munich (Thalkirchner Str. 36, 80337 Munich). We are a dynamic and interdisciplinary team of cancer researchers driven by a passion for clinical translation. Our work leverages cutting-edge multidimensional tumor characterization, advanced clinical model systems, bioinformatics, and AI. The lab is supported by the Deutsche Krebshilfe (Max-Eder-Program). Learn more about us at .

We are looking for you:

PhD in Clinical Cancer Biology and Bioinformatics (m/f/x)

in Munich

Your tasks and responsibilities:

- Get wet lab insights and analyze data from single-cell techniques (snRNA-seq, 10x Genomics) and spatial biology methods (sequential immunofluorescence with Lunaphore COMET; spatial transcriptomics with Xenium, 10x Genomics)
- Perform and analyze Illumina-based next-generation sequencing (Novaseq XP)
- Play a leading role in analyzing quantitative biological data and guide others in its interpretation.

Your qualifications:

- A Master degree (or equivalent) in bioinformatics, informatics, physics, immunology, molecular biology, biomedicine, or related science fields
- Experience in molecular biology and next-generation sequencing
- Extensive proficiency in quantitative data analysis and programming skills in relevant languages (e.g. R and/or Python)
- Strong command of English
- An open and outgoing personality with exceptional teamwork skills
- Ability to think critically and work independently.

Benefits:

- Opportunities for collaboration with machine learning research groups at other universities and AI startups
- Comprehensive onboarding in a supportive, interactive, and dynamic research environment
- Access to state-of-the-art infrastructure
- Flexible working hours
- Access to professional career development services within LMU
- The salary will be based on TV-L ‘Entgeltgruppe’E13
- Free parking and a centrally located workplace in Munich, situated in a vibrant neighborhood with excellent public transport connections

We welcome applications from all backgrounds, and we appreciate diversity.

People with disabilities who are equally as qualified as other applicants will receive preferential treatment.

Contact:

Please send application materials to Dr. Dr. Andreas Mock: [email protected] (https://mailto:[email protected])

We look forward to receiving your complete application as a single PDF file (max. two MB), including the following requirements:

1. Curriculum Vitae (max. two pages, written in English)
2. Transcript of records
3. Short statement of your research interest and why you choose to apply for this position (max. 1 page)
4. Contact details from three referees and how they interacted with you (one referee should be the supervisor of your Master thesis)

Where knowledge is everything.

LMU researchers work at the highest level on the great questions affecting people, society, culture, the environment and technology — supported by experts in administration, IT and tech. Become part of LMU Munich! (https://www.lmu.de/en/about-lmu/working-at-lmu/index.html)

In the course of your application for an open position at Ludwig-Maximilians-Universität (LMU) München, you will be required to submit personal information. Please be sure to refer to our LMU Privacy Policy (https://www.lmu.de/en/footer/privacy-disclaimer/index.html) . By submitting your application, you confirm that you have read and understood our data protection guidelines and privacy policy and that you agree to your data being processed in accordance with the selection process.

Ludwig-Maximilians-Universität München
Geschwister-Scholl-Platz 1
80539 München

[https://www.dhm.mhn.de]

Die Abteilung der Experimentellen Chirurgie am Institut INSURE - Institute for Translational Cardiac Surgery der KLINIK FÜR HERZ- UND GEFÄSSCHIRURGIE sucht zum nächstmöglichen Zeitpunkt einen

BIOINFORMATIKER (M/W/D)

In der Abteilung für Experimentelle Chirurgie werden Grundlagenwissenschaften im Bereich der kardialen Entwicklungsbiologie, der kardialen Regeneration und der molekularen Kartierung mit präklinischer Forschung kombiniert.

Ihre Verantwortlichkeit liegt in der Einrichtung und dem Betrieb von Rechenpipelines zur Vorbereitung und Integration von Datensätzen aus Hochdurchsatz-Experimenten und der Durchführung von Datenanalysen. Weiterhin sind Sie für die Betreuung der Server-Infrastruktur, sowie der Softwareumgebung verantwortlich.
Ihre Aufgaben

• Einrichtung und Benchmarking von Pipelines für die Vorverarbeitung und Analysen von DNA-Datensätzen (GWAS, WES, WGS), RNAseq, single-cell RNAseq, Proteomik- und Metabolomik-Datensätzen
• Unterstützung des Dateninformationssystems (DIS) der kardiovaskulären Biobank (KaBi-DHM)
• Betreuung des Forschungsdatenmanagements

Ihr Profil

• Erfolgreich abgeschlossenes Hochschulstudium (Master, Diplom [Univ.]) in Bioinformatik, Informatik, Biologie oder einem verwandten Fachgebiet
• Promotion in diesem Bereich ist von Vorteil
• Erfahrung in der Vorverarbeitung und Analyse von Hochdurchsatzdaten
• Erfahrung in R, Python, Java und anderen gängigen Programmiersprachen
• Erfahrung mit UNIX/Linux
• Erfahrung mit Versionskontrollen
• Erfahrung mit Workflow-Management-Systemen
• Erfahrung mit Hochdurchsatz-Rechnersystemen
• Erfahrung mit Datenbanken und Laborinformationssystemen
• Ausgezeichnete schriftliche und mündliche Kommunikation in Englisch

Sie haben bereits in vergleichbarer Position Projekte bearbeitet und zeichnen sich durch Verantwortungsbewusstsein, Engagement, Belastbarkeit sowie gute Kommunikations- und Integrationsfähigkeit aus. Ein professionelles Auftreten, gute Kommunikationsfähigkeiten und ausgeprägte Teamfähigkeit sind für uns selbstverständlich.
Unser Angebot

• Eine sehr interessante berufliche Herausforderung in einem universitär und international geprägten Umfeld
• Ein zunächst auf ein Jahr befristeter Arbeitsvertrag mit langfristigen Perspektiven
• Vergütung nach dem TV-L (inkl. Jahressonderzahlung)
• Fort- und Weiterbildungsangebote
• Betriebliche Altersvorsorge/Betriebsrente
• Personalrestaurant
• Mit unserem Firmen-Fitnesspartner EGYM Wellpass in über 8.000 Sport- und Gesundheitseinrichtungen deutschlandweit trainieren
• Zahlreiche Rabattmöglichkeiten für unsere Mitarbeitenden über das Vorteilsprogramm corporate benefits, Fahrrad-Leasing mit JobBike Bayern und andere Vergünstigungen

Das Deutsche Herzzentrum München fördert aktiv die Gleichstellung aller Mitarbeiter und Mitarbeiterinnen. Wir begrüßen deshalb Bewerbungen von Männern und Frauen, unabhängig von deren kultureller und sozialer Herkunft, Alter, Religion, Weltanschauung, Behinderung oder sexueller Identität. Bewerber und Bewerberinnen mit Schwerbehinderung werden bei gleicher Eignung unter Berücksichtigung aller Umstände des Einzelfalls bevorzugt.
Kontakt

DR. RER. NAT. MARTINA DRESSEN
Leitung Experimentelle Forschung
Tel: +49 89 1218-2513

THOMAS SCHMID
Leitung Personalgewinnung
Tel: +49 89 1218-1734

Ihre Bewerbung senden Sie bitte an
Deutsches Herzzentrum München | Personalverwaltung | Lazarettstraße 36 | 80636 München Jetzt online bewerben [https://apply.jcd.de/Apply.php?iJobAdID=91071&tc=3-11]

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[email protected] | www.deutsches.herzzentrum-muenchen.de/karriere [https://www.deutsches.herzzentrum-muenchen.de/karriere]