Genomics Data Scientist (f/m/x) (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.

In collaboration with the European Molecular Biology Laboratory (EMBL) in Heidelberg, the Junior Research Group "Genome Instability in Tumors" headed by Dr. Aurélie Ernst is offering a Postdoc Position in Computational Cancer Biology (ERC funded).

We are looking for a postdoctoral scientist (bioinformatics / computational biology) to work on chromosome instability in space and time and understand the early stages of cancer development, using data from single-cell multiome and spatial profiling in the brain and the colon. The project is funded through the ERC "Unstable Genome".

The position is co-supervised by Wolfgang Huber at EMBL and Dr. Aurélie Ernst at DKFZ.
The Huber group develops statistical and machine learning methods for modern biotechnologies, applies them to biological discovery, and translates them into reusable tools (https://www.huber.embl.de/)
The Ernst group aims at elucidating how chromosome instability leads to massive genome rearrangements and deciphering implications for cancer patients.
More information can be found at (https://https://www.dkfz.de/en/genominstabilitaet-in-tumoren/index.php) https://www.dkfz.de/en/genominstabilitaet-in-tumoren/index.php (https://https://www.dkfz.de/en/genominstabilitaet-in-tumoren/index.php) .

Your Tasks

As part of the research team, you will participate in the overall project and shape your own research profile in one or several of the following areas:

- Integrative data analysis for biological discovery
- Single-cell multiome data analysis at ultra-large scale (>100 000 cells per donor)
- Spatial transcriptomics
- Clonal evolution and phylogeny
- Copy-number changes and complex rearrangements and their impact on the transcriptome at single-cell resolution
- Clone fitness and selection, interactions between tumor cells and the microenvironment
- Data science, quality assurance, advanced visualization and model checking
- Develop scalable and robust software for scientific computing.

You will be able to contribute both to scientific discovery by analysis of primary data, and to the development of more broadly usable computational methods and tools.

Your Profile

You have a PhD relevant to computational biology, e.g., in bioinformatics, systems biology, or in statistics, physics, computer science with demonstrated interest in the life sciences. You have experience in scientific computing and are familiar with R/Bioconductor and/or Python for data science. In your application, please include links to prior research outputs such as software packages, data analysis notebooks, technical reports, PhD thesis.
A very good command of English is expected.

The position is available immediately. The initial term of employment is 3 years and may be extended up to a total of 5 years.

Interested candidate should submit their applications with a cover letter, curriculum vitae, publication list, and a brief description of current research interests and expertise (max 1 page) as one single PDF file via our online application tool and also send the documents by email to Wolfgang Huber ([email protected]).

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:

Dr. Aurélie Ernst
Phone: +49 (0)6221/42-1512

​Duration: The position is initially limited to 3 years.

Application Deadline: 21.02.2025

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.

Our Next Generation Sequencing Core Facility, headed by Dr. Stephan Wolf, is seeking for the next possible date a Business Analyst Java, Test and Documentation Expert.

We are looking for a software developer or biologist with software development background to strengthen our team and support the development of our Laboratory Information and Management System (LIMS).

As a Core Facility within the DKFZ, we handle the entire genome sequencing workflow on state-of-the-art systems and are one of the largest facilities of this kind in Europe.

We offer an exciting and multifaceted role in an international and growing working environment, within a positively motivated team. You can expect a variety of challenges, interesting technologies, and the opportunity to contribute to research for a life without cancer.

Your Tasks

- Collaborate with laboratory staff and bioinformatics scientists to gather, analyze, and document software requirements
- Create and maintain comprehensive documentation for both existing and new software features
- Contribute to the development and maintenance of the Laboratory Information Management System (LIMS) using Java and SQL, from the initial planning phase through to implementation
- Design and execute test cases to ensure the interoperability of the LIMS software with laboratory devices, sequencing machines, HPC clusters, and petabyte-scale data storage

Your Profile

- Bachelor's degree in computer science, bioinformatics, biology or equivalent professional experience
- Fundamental knowledge of Java and a desire to further develop programming skills
- Basic understanding of SQL databases and/or HTML/CSS
- Experience in software testing and/or documentation writing
- Service-oriented and collaborative team player
- Strong communication skills in both German (B2) and English, with a willingness for interdisciplinary exchange
- Desirable: Knowledge about laboratory workflows and user-interface-design as well as interest in laboratory automation, bioinformatics or genome sequencing

Are you a self-motivated, goal-oriented, and diligent team player, with a friendly demeanor? We look forward to receiving your application!

We Offer

- Excellent framework conditions: state-of-the-art equipment and opportunities for international networking at the highest level
- 30 days of vacation per year
- Flexible working hours
- Remuneration according to TV-L incl. occupational pension plan and capital-forming payments
- Possibility of mobile work and part-time work
- Family-friendly working environment
- Sustainable travel to work: subsidized Germany job ticket
- Unleash your full potential: targeted offers for your personal development to further develop your talents
- 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:

Melinda Rauh
Phone: +49 (0)6221/42-4438

​Duration: The position is initially limited to 2 years with the possibility of prolongation.

Application Deadline: 28.02.2025

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.

We are looking to support our rapidly growing team as soon as possible: Bioinformatics Scientist (f/m/x)

Institute of Pathology
TV-L: 38,5 h/week (100%) limited for 2 years according to WissZeitVG
Your salary will be based on TV-L

• Pipeline development for the analysis of next generation sequencing (NGS) data sets (RNA/DNA/ctDNA) and integration of the results into routine operations. The focus will be whole genome sequencing in a somatic as well as Germline context
• Setup of interfaces to databases
• Occasional establishment of additional bioinformatics
infrastructure in collaboration with our IT department
• Pipeline related support of molecular pathology routinediagnostics
Your profile
• Completed university education (Master/PhD) in
bioinformatics, computer/data sciences, biology or similar subject
• Knowledge regarding the handling of standard programs for data analysis, e.g. bwa, samtools, GATK
• Advanced experience in the area of NGS data analyses,
preferably with background in tumor biology or human
genetics
• Experience with Linux, preferably with Linux servers and writing Linux shell scripts
• Knowledge and application of a programming/scripting
language in the NGS environment (e.g., Python, Perl, Java)
• Experience with parallelization of data processing on
servers, possibly grids/clusters but also general hardware knowledge are advantageous
• Good teamwork and communication skills but also ability to work independently
• German language is preferable, but not mandatory

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 future in detail
We are the molecular routine diagnostics team at the Institute of Pathology and part of the national Network Genomic Medicine (nNGM). The University Hospital Cologne is one of Europe’s largest centers for solid tumors, especially lung cancer. We contribute to comprehensive
patient care with latest analysis methods. We are a service provider in the “Model Project for the comprehensive diagnosis and therapy identification by means of genome sequencing in cases of rare and oncological diseases” (Modellvorhaben Genomsequenzierung). The successful candidate will join a dynamic routine diagnostics lab and will participate in high throughput analysis of solid tumor samples with modern technologies in the field of next generation sequencing. Whole exome and complex custom data sets are analyzed with adequate computational infrastructure of the University Hospital of Cologne.  We have a broad spectrum of seminars and an intense scientific exchange with national collaborators.
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. Contact

Dr. Jana Fassunke
Tel: +4922147886157
  Universitätsklinikum Köln AöR
Geschäftsbereich Personal
Kerpener Str. 62
50937 Köln

Uniklinik Köln Karriere Application deadline: 09.03.2025
Job-ID: k1p27lu6
We look forward to receiving your application and getting to know you!

„Forschen für ein Leben ohne Krebs“ – das ist unsere Aufgabe am Deutschen Krebsforschungszentrum. Wir erforschen, wie Krebs entsteht, erfassen Krebsrisikofaktoren und suchen nach neuen Strategien, die verhindern, dass Menschen an Krebs erkranken. Wir entwickeln neue Methoden, mit denen Tumore präziser diagnostiziert und Krebspatient:innen erfolgreicher behandelt werden können. Jeder Beitrag zählt – ob in der Forschung, in der Administration oder der Infrastruktur. Das macht unsere tägliche Arbeit so bedeutungsvoll und spannend.

Gemeinsam mit universitären Partnern an sieben renommierten Partnerstandorten haben wir das Deutsche Konsortium für Translationale Krebsforschung (DKTK) gegründet.

Am DKTK Partnerstandort Freiburg haben wir ab sofort eine freie Stelle als Wissenschaftliche:r Mitarbeiter:in (m/w/d) im Bereich Bioinformatik.

Im Rahmen des DKTK spielen Joint Fundings eine zentrale Rolle. Diese Forschungsprojekte sind ein fester Bestandteil der wissenschaftlichen Arbeit in Freiburg und zeichnen sich durch die enge, standortübergreifende Zusammenarbeit innerhalb des DKTK aus.

Das Translationszentrum ist in den Räumlichkeiten des Instituts für Medizinische Bioinformatik und Systemmedizin des Universitätsklinikums Freiburg angesiedelt.

Ihre Aufgaben:

Die ausgeschriebene Tätigkeit umfasst die Entwicklung und Anwendung bioinformatischer Methoden zur Analyse und Integration heterogener Omics-Datensätze, wie Genomik, Transkriptomik und Mikrobiom-Daten. Ziel ist es, Biomarker und Krankheitsmerkmale zu identifizieren, die für die Diagnose, Patientenselektion und Therapieempfehlungen von Bedeutung sind. Ein Schwerpunkt liegt auf der Auswertung von Patienten- und Organoiddaten sowie der Korrelation von Mikrobiom-Daten mit Tumormerkmalen und molekularen Subtypen (z. B. CMS, MSI).

Zur Erfüllung dieser Aufgaben werden maschinelle Lernverfahren und statistische Modelle eingesetzt, um Krankheitsstadien, Signalwegaktivitäten und Biomarker zu charakterisieren und prädiktive Modelle zu entwickeln. Weitere Tätigkeiten umfassen die Nutzung von Zelltypdekonvolutionstools zur Analyse der Tumormikroumgebung und die enge Zusammenarbeit mit interdisziplinären Teams, beispielsweise in molekularen Tumorboards, um translationale Ansätze in der Krebsforschung voranzutreiben.

Abgerundet wird das Aufgabenprofil durch die Validierung von Biomarkern und Modellen an unabhängigen Datensätzen sowie die Entwicklung strategischer Ansätze zur gezielten mikrobiellen Bekämpfung, die langfristig zur Prävention und Therapie von Krebserkrankungen beitragen könnten.

Ihr Profil:

- Abgeschlossenes Studium in einer Naturwissenschaft (z. B. Bioinformatik, Physik, Informatik, Mathematik)
- Erfahrung in der Bioinformatik (Auswertungen von Sequenzierungsdaten aller Art, insbesondere DNA-Seq, RNA-Seq, Proteomik, Mikrobiomik)
- Kenntnisse in der Analyse und Interpretation von Mikrobiom-Datensätzen
- Erfahrung im Anwenden von Methoden der künstlichen Intelligenz
- Interesse an biologischen / medizinischen Fragestellungen und Bereitschaft zu interdisziplinärer Arbeit
- Schnelle Auffassungsgabe und selbstständiges Arbeiten
- Umfassende Kenntnisse in wissenschaftlicher Programmiersprache (z. B. R, Python)
- Ausgeprägte Kommunikationsstärke sowie Organisations- und Teamfähigkeit
- Selbstständige und zielorientierte Arbeitsweise, Zuverlässigkeit und die Bereitschaft, Neues zu lernen
- Deutsche und englische Sprachkenntnisse

Unser Angebot:

- Hervorragende Rahmenbedingungen: modernste state-of-the-art Infrastruktur und Möglichkeit zum internationalen Austausch auf Spitzenniveau
- 30 Tage Urlaub
- Flexible Arbeitszeiten
- Vergütung nach TV-L inkl. betrieblicher Altersvorsorge und vermögenswirksamer Leistungen
- Möglichkeit zur mobilen Arbeit und Teilzeitarbeit
- Familienfreundliches Arbeitsumfeld
- Nachhaltig zur Arbeit: Vergünstigtes Deutschland-Jobticket
- Entfalten Sie Ihr volles Potenzial: gezielte Angebote für Ihre persönliche Entwicklung fördern Ihre Talente
- Unser betriebliches Gesundheitsmanagement bietet ein ganzheitliches Angebot für Ihr Wohlbefinden

Sie sind interessiert?

Dann werden auch Sie Teil des DKFZ und tragen gemeinsam mit uns zu einem Leben ohne Krebs bei!

Ihre Ansprechperson:
Miriam von Scheibner
Telefon: +49 (0)761/270-84673

​Befristung: Die Stelle ist zunächst auf 2 Jahre befristet. Eine Verlängerung ist möglich.

Bewerbungsschluss: 25.02.2025

Bewerbungen per E-Mail können leider nicht angenommen werden. ​

Wir sind davon überzeugt: ein innovatives Forschungs- und Arbeitsumfeld lebt von der Vielfalt seiner Beschäftigten. Daher freuen wir uns über Bewerbungen von talentierten Menschen, unabhängig von Geschlecht, kulturellem Hintergrund, Nationalität, ethnischer Zugehörigkeit, sexueller Identität, körperlichen Fähigkeiten, Religion und Alter. Menschen mit Schwerbehinderung werden bei gleicher Eignung bevorzugt.

Hinweis: Wir unterliegen den Vorschriften des Infektionsschutzgesetzes (IfSG). Deshalb müssen alle unsere Beschäftigten einen Immunitätsnachweis gegen Masern vorlegen.

The Fraunhofer-Gesellschaft currently operates 76 institutes and research units throughout Germany and is a leading applied research organization. Around 32 000 employees work with an annual research budget of 3.4 billion euros.

A new working group in the field of clinical microbiome research currently being established at the Fraunhofer-Institute for Translational Medicine and Pharmacology ITMP in Frankfurt am Main. This group encompasses a research platform focused on the development of microbiota-based therapies. Within this group, the bioinformatic analysis of data sets and, in particular, the development of prediction models for complex microbial communities and their interactions will play a central role. Accordingly, we are looking for a bioinformatician as a postdoc to support our interdisciplinary team.

Bioinformatician / Postdoc - Microbiome Research Microbiome analysis and integration of -omics and clinical data

Fusion and integration of -omics data with clinical data
Complementary metagenomic analysis of existing samples from biobanks and collections
Execution of statistical and bioinformatic analyses of complex data sets in a medical context

Development of new bioinformatic tools and analysis strategies

Application of established bioinformatics tools and solutions, including those for predicting nutrient competition among microorganisms and other mechanisms of colonization resistance
Development of new analysis strategies, tools, and predictive models to support the group’s objectives
Validation and benchmarking of these tools and models using various data sets
Application of the developed solutions to identify potential Live Biotherapeutic Products (LBPs)

Support of the working group

Organization and management of data from microbiome studies, including quality assurance and data preparation
Documentation, visualization and publication of research findings in scientific journals as well as presentation in lectures and conferences
Assistance in securing third-party funding and preparation of grant proposals for clinical studies

A scientific degree in bioinformatics, biology, or a comparable field and a completed PhD or (at the time of application) submitted PhD, ideally with a strong focus on health sciences
Solid knowledge of programming languages such as Python, R and Bash; additional experience with high-performance computing (HPC) is an advantage
Experience in analyzing of sequence data (e.g., tools like QIIME2, MetaPhlAn, Kraken or HUMAnN) and proficiency with MS Office
Understanding of microbiological or molecular biological fundamentals
Interest in the human microbiome and clinical research
Advantageous: Experience in project and data management
Good command of German and English (spoken and written)
A high level of initiative and team spirit

Opportunity for scientific work in a highly innovative and patient-relevant topic
Integration into a competent, friendly, and committed team
A collegial work atmosphere and the freedom to implement your own ideas
Flexible working hours (flexitime model), remote work options, as well as various support measures to balance private life and career
Excellent professional and personal development, opportunities through a variety of internal training programs
30 days paid annual leave, plus Christmas and New Year's Eve as company holidays
Personal retirement benefits (VBL) and additional (social) benefits of public service, such as annual special payment
Capital-forming benefits
Subsidies for public transport (Deutschlandticket)
Corporate benefits: offers from well-known manufacturers and brands
Access to the extensive Fraunhofer network

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

The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 76 institutes and research institutions throughout Germany and is the world's leading applied research organization. Around 30 000 employees work with an annual research budget of 2.9 billion euros.

A new working group in the field of clinical microbiome research currently being established at the Fraunhofer-Institute for Translational Medicine and Pharmacology ITMP in Frankfurt am Main. This group encompasses a research platform focused on the development of microbiota-based therapies. Within this group, the bioinformatic analysis of data sets and, in particular, the development of prediction models for complex microbial communities and their interactions will play a central role. Accordingly, we are looking for a bioinformatician as a postdoc to support our interdisciplinary team.

What you will do

Microbiome analysis and integration of -omics and clinical data

- Fusion and integration of -omics data with clinical data
- Complementary metagenomic analysis of existing samples from biobanks and collections
- Execution of statistical and bioinformatic analyses of complex data sets in a medical context

Development of new bioinformatic tools and analysis strategies

- Application of established bioinformatics tools and solutions, including those for predicting nutrient competition among microorganisms and other mechanisms of colonization resistance
- Development of new analysis strategies, tools, and predictive models to support the group´s objectives
- Validation and benchmarking of these tools and models using various data sets
- Application of the developed solutions to identify potential Live Biotherapeutic Products (LBPs)

Support of the working group

- Organization and management of data from microbiome studies, including quality assurance and data preparation
- Documentation, visualization and publication of research findings in scientific journals as well as presentation in lectures and conferences
- Assistance in securing third-party funding and preparation of grant proposals for clinical studies

What you bring to the table

- A scientific degree in bioinformatics, biology, or a comparable field and a completed PhD or (at the time of application) submitted PhD, ideally with a strong focus on health sciences
- Solid knowledge of programming languages ​​such as Python, R and Bash; additional experience with high-performance computing (HPC) is an advantage
- Experience in analyzing of sequence data (e.g., tools like QIIME2, MetaPhlAn, Kraken or HUMAnN) and proficiency with MS Office
- Understanding of microbiological or molecular biological fundamentals
- Interest in the human microbiome and clinical research
- Advantageous: Experience in project and data management
- Good command of German and English (spoken and written)
- A high level of initiative and team spirit

What you can expect

- Opportunity for scientific work in a highly innovative and patient-relevant topic
- Integration into a competent, friendly, and committed team
- A collegial work atmosphere and the freedom to implement your own ideas
- Flexible working hours (flexitime model), remote work options, as well as various support measures to balance private life and career
- Excellent professional and personal development, opportunities through a variety of internal training programs
- 30 days paid annual leave, plus Christmas and New Year's Eve as company holidays
- Personal retirement benefits (VBL) and additional (social) benefits of public service, such as annual special payment
- Capital-forming benefits
- Subsidies for public transport (Deutschlandticket)
- Corporate benefits: offers from well-known manufacturers and brands
- Access to the extensive Fraunhofer network

We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability.

The weekly working time is 39 hours. This position is initially limited to 2 years and is also available on a part-time basis. Appointment, remuneration and social security benefits based on the public-sector collective wage agreement (TVöD). Additionally Fraunhofer may grant performance-based variable remuneration components.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.
Interested? Apply online now. We look forward to getting to know you!

Ms. PD Dr. med. Lena Biehl
[email protected]
Fraunhofer Institute for Translational Medicine and Pharmacology ITMP
www.itmp.fraunhofer.de

Requisition Number: 77775                Application Deadline:

Ms. PD Dr. med. Lena Biehl
[email protected]