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Bioinformatician / Computional Biologist (m/w/d)

The junior research group Computational Phenomics led by Prof. Sahm at the Leibniz Research Institute for Environmental Medicine is hiring a

Bioinformatician / Computional Biologist (m/w/d)

Activities and Responsibilities

The Computational Phenomics group investigates how environmental toxins (e.g. particles, radiation or chemicals) accelerate the aging process at the molecular level and promote the development of associated diseases. To this end, we evaluate multi-omics data from cell cultures, animal models and human subjects. Complementary, we identify evolutionary adaptations that cause certain animal models, such as the naked mole rat, to be long-lived, age healthily, and have high resistance to environmental toxins. Therefore, we compare the genomes and epigenomes of such species with those of shorter-lived and more disease-prone relatives.

Qualification profile
• PhD in life sciences, informatics or mathematics
• Experience with evaluation of omics data, e.g., next-generation sequencing
• Experience in the implementation of research projects
• Programming skills

Without requiring it, we would especially appreciate it if you would bring knowledge in one or more of the following areas: multi-omics integration, machine learning, phylogenetics, genome assembly, epigenetic clocks. We offer

• Access to state-of-the-art facilities and unique sample material from animal models and human subjects • Opportunity to develop your own research profile and to make a decisive contribution to a newly established research group • Possibility for habilitation • Modern and family-friendly working conditions • Future-proof workplace • Flexible working hours and the possibility of mobile work • Supplementary company pension scheme in accordance with collective bargaining law (RZVK) • A low-cost job ticket for the Rhein Ruhr public transport system • 30 days of vacation according to the collective agreement

The position starts as soon as possible and is initially limited to 4 years, with the option of continued employment. Remuneration is based on pay group 13 TV-L, i.e., currently 4,088 € to 6,037 € depending on experience.

We promote equal opportunities and diversity. Women are particularly invited to apply and will be given preferential consideration in accordance with the LGG NRW. Applications from people with severe disabilities and their peers are also expressly encouraged.

Please address your application (short letter of motivation, CV, qualification certificates) with the reference "Computational Phenomics" in the subject line as one summarized document in PDF format by email: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! 

Bioinformatician as Scientific Software Engineer

We are currently seeking a full- or part-time Bioinformatician as Scientific Software Engineer* to support our R&D team to develop innovative immunotherapeutic products for next-generation cancer therapy. You will work in Tuebingen (Germany) in an interdisciplinary environment with colleagues from research and clinical departments. Your analytical reasoning and action-oriented style as well as your organization and communication skills will contribute to the team’s success. This is a permanent position.

Your mission
Your main responsibilities will include but are not limited to the following tasks: Integrate life science data from various assays into the Immatics’ target discovery database XPRESIDENT®. Extend our MySQL database and Unix server infrastructure to enable real-time access to experimental data and facilitate interactive analysis. Design, implement, and maintain web interfaces for our in-house database and laboratory information management system. Contribute to the automatic data processing for our in-house platform that empowers our scientists to identify and validate targets for cancer immunotherapy. Collaborate with users and create user requirement specifications to guide the development of our in-house laboratory information management system and our platform for data analysis.

Your profile
You hold an MSc degree in Bioinformatics or a related field. You have experience with software development and at least basic knowledge of data engineering and database development. You are familiar with at least one scripting language (Perl, Python, or similar). Knowledge of Unix administration, MySQL, or statistics is an advantage. You maintain high code quality, including proactively writing tests and documentation. We expect a high degree of independent working, analytical reasoning, and good communication skills in English. Your motivation is driven by your passion for innovation and science, and you are willing to extend your knowledge to support our scientists in developing new cancer immunotherapies.

Why us?
We are a committed and inspired team and cherish the collegial, highly motivated, and family-friendly atmosphere within Immatics. Our culture allows for a high level of originality, independent thinking, and initiative. We believe in supporting our employees’ professional and social skills: We enable them to join conferences and trainings as well as to enjoy our Immatics benefits – e.g., job bike, job ticket, Health Programs, childcare benefits, relocation allowance, Company summer and winter events.

Notice *We value diversity and inclusion. Immatics N.V. and all Immatics subsidiaries are equal opportunity employers that evaluate qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law.

About us Immatics combines the discovery of true targets for cancer immunotherapies with the development of the right T cell receptors with the goal of enabling a robust and specific T cell response against these targets. This deep know-how is the foundation for our pipeline of Adoptive Cell Therapies and TCR Bispecifics as well as our partnerships with global leaders in the pharmaceutical industry. Operating from Tuebingen, Munich and Houston, we are committed to delivering the power of T cells and to unlocking new avenues for patients in their fight against cancer. For more detailed information, visit


Postdoctoral Research Fellow in Clinical Bioinformatics

The Clinic for Hematology, Oncology and Medical Immunology at the Medical Faculty of the Heinrich Heine University in Düsseldorf is advertising a position as:

Postdoctoral Researcher (m/w/d) in the field of Clinical Bioinformatics

to join their interdisciplinary research team of Molecular biologists, Immunologists, Clinician scientists and Bioinformaticians under the joint supervision of Prof. Dietrich and PD Marc Seifert. The full-time position is initially limited to three years, with an option for a permanent position.

About the team
The team combines basic research on Human Immunology and Molecular Biology with Functional Precision Medicine. Our aim is the systematic application of single- and multi-cell-OMICS (Genome, Transcriptome, Proteome, Metabolome, etc.), multi-parameter immunohistology by CODEX (CO-Detection by indEXing), immune phenotyping (BCR/TCR/NK-TCR repertoire NGS), drug screening technologies and functional assays on primary cells, cell lines, and 3D culture models of human tumor samples and age-matched normal tissues. The detailed and comprehensive mapping of transforming events, pathway dependencies, tumor plasticity and specific vulnerabilities in hematologic cancers will be integrated by mathematical modelling, and ultimately translated into the development of biology-based treatment strategies for precision medicine of blood cancer. The position is located at the medical faculty of the HHU in Düsseldorf to grant a close interaction with the wet-lab scientists, clinician scientists and bioinformaticians located at the clinic of Hematology/Oncology. A particular surplus benefit will be our established collaboration in the molecular medicine partnership (Systems Medicine of Cancer Drugs – Molecular Medicine Partnership Unit ( with Dr. Wolfgang Huber at the EMBL in Heidelberg.

Your role in the team
As a computational scientist you will perform discovery-oriented research on the large datasets acquired and generated by the research team, developing new methodology, and advising partners on approaches and tools. To support these activities, you will also engage in critical method assessment and benchmarking, in collaborative data management, and in integrative analysis with other, extant data. The primary data type will be barcoded sequencing libraries.

You have
a PhD or equivalent qualification in a quantitative discipline (e.g., bioinformatics, mathematics, statistics, physics, computer science). Your expertise includes statistics and probabilistic modeling of high-dimensional data, machine learning, scientific computing (R, Python or equivalent) and data visualization. We also welcome applications from candidates trained in life sciences, combined with strong coding skills that allow complex data transformations, integrative operations, applications of mathematical models and visualizations. A background in biological data science, and/or experience with R package development, interactive visualization, reproducible research and open science technologies is highly welcome. In your application, please include (links to) samples of your prior work, such as GitHub repositories, quarto reports, thesis documents. Applications from female candidates are 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 not suitable for part-time employment.

The position is evaluated according to E 13 Tv-L.

Applications including a CV, motivation letter and 2 references should be sent to: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!

Ph.D. Student – Bioinformatician (m/f/d)

We offer a three-year Ph.D. student position in Bioinformatics within the Data Science group of the Research Center Borstel. The center is publicly funded and the internationally operating Lung Center within the Leibniz Association, located close to Hamburg, one of Germany’s largest cities. The Ph.D. project focuses on Systems Genetics and covers the analysis of genetic variant data with established methods from genome-wide association and quantitative trait loci studies (GWAS/QTL) as well as (novel) machine learning methods for polygenic scores and phenotype prediction e.g. using PyTorch.

For more information, please have a look at the advertisement and get into contact. Application via the website: 

Bioinformatician (m/f/d)

We offer a full-time position (up to six years) in Bioinformatics with the option to pursue a habilitation in a chosen field of expertise within Genomics, Transcriptomics, Epigenomics or Epitranscriptomics within the Data Science group of the Research Center Borstel. The center is publicly funded and the internationally operating Lung Center within the Leibniz Association, located close to Hamburg, one of Germany’s largest cities.

For more information, please have a look at the advertisement and get into contact. Application via the website: 

Doktorandin/Doktorand (d/m/w)

Naturwissenschaftliche Doktorarbeit im Projekt "BioInf" innerhalb der Fakultät Angewandte Informatik.

Durchführung einer kooperativen naturwissenschaftlichen Promotion in Kooperation mit der Universität Erlangen-Nürnberg. Das Thema der Promotion lautet: "Molekulare Mechanismen unterschiedlicher Transkriptionsaktivität der AP-1-Faktoren c-Jun, Fra-1 und ATF-2, und deren funktionelle Bedeutung im malignen Melanom - BioInf". Zur Vorstellung und Diskussion der eigenen Ergebnisse besuchen Sie nationale und internationale Kongresse. Des Weiteren lehren Sie im Bereich der biomedizinischen Datenanalyse und unterstützten bei Laborpraktika.

Sie bringen ein abgeschlossenes wissenschaftliches Hochschulstudium (Diplom Uni/ Master) der Bioinformatik oder bioinformatischem Schwerpunkt mit. Sie verfügen über Erfahrung im Bereich der biomedizinischen Datenanalyse sowie über umfangreiche Kenntnisse im Bereich molekulare Biologie, Pathologie und in der Next Generation Sequencing Methodik. Des Weiteren haben Sie Erfahrungen mit Linux/UNIX, Python sowie R und haben Interesse an Machine Learning.

Darüber hinaus besitzen Sie sehr gute Deutsch- und Englischkenntnisse. Eine selbstständige und proaktive Arbeitsweise sowie Teamfähigkeit, hohe Motivation zur Forschung und Neugierde runden Ihr Profil ab.

Zum Stellenangebot: 

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