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Stellenangebote

Bioinformatician

Overview
We are currently seeking a full- or part-time Bioinformatician* to support our R&D team to develop innovative immunotherapeutic products for next-generation cancer therapies. You will work in Tuebingen (Germany) in an interdisciplinary, global environment with colleagues from research and clinical departments. It is possible to work regularly from the home office. 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 (e.g. RNA-Seq and mass spectrometry) into the Immatics’ target discovery database XPRESIDENT® • Extend our database and server infrastructure to enable Big Data acquisition and facilitate interactive analysis • Design, implement, and maintain web interfaces for our in-house database and laboratory information management system • Contribute to our in-house platform for data analysis that empowers our scientists to identify and validate targets for cancer immunotherapy • Create user requirement specifications to guide the development of our in-house laboratory information management system and our platform for data analysis • Analyse data from various assays with statistics or machine learning to support scientific decisions

Your profile
You hold an MSc degree in Bioinformatics or a related field. Ideally, you have gained insights into frontend, backend, and database development and Unix administration. You are familiar with at least one scripting language (Perl, Python, or similar). Knowledge of statistics, machine learning, R, mass-spectrometry, peptidomics, or RNA-Seq is an advantage. You are interested in maintaining high code quality and you take careful testing and documentation for granted. 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 www.immatics.com.

Link Bewerbungsformular: https://immatics.jobs.personio.de/job/992023?_pc=604841#apply 

Full Stack Developer*

Overview
We are currently seeking a full- or part-time Full Stack Developer* (LAMP) to support our R&D team to develop innovative immunotherapeutic products for next-generation cancer therapies. You will work in Tuebingen (Germany) in an interdisciplinary, global environment with colleagues from research and clinical departments. It is possible to work regularly from the home office. 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 (e.g., RNA-Seq and mass spectrometry) into the Immatics’ target discovery database XPRESIDENT® • Extend our database and server infrastructure to enable Big Data acquisition and facilitate interactive analysis • Design, implement, and maintain web interfaces for our in-house database and laboratory information management system • Contribute to our in-house platform for data analysis that empowers our scientists to identify and validate targets for cancer immunotherapy • Ensure software quality by maintaining and extending our DevOps toolbox, CI/CD pipelines, and documentation

Your profile
You hold an MSc degree in Computer Science, Bioinformatics, or a related field. Ideally, you have gained insights into frontend, backend, and database development and Unix administration. You are familiar with at least one scripting language (e.g., Perl, Python). Knowledge in MySQL database administration, user experience design, or Apache HTTP server is an advantage. You are interested in maintaining high code quality and you take careful testing and documentation for granted. 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 www.immatics.com.

https://immatics.jobs.personio.de/job/992572?_pc=604841#apply 

PhD position - DFG-funded project - Bioinformatics - Study on CTCL

The University Duisburg-Essen invites applications for the position of a PhD Scientific Researcher in the Faculty of Biology, Bioinformatics and Computational Biophysics, starting 1st May 2023 (or as soon as possible thereafter).

Application deadline: 15th March 2023

The post belongs to a DFG-funded research project entitled „Reciprocal interaction of CTCL, the reactive infiltrate, and the lesional microbiome“.

More information: https://tinyurl.com/mrnzsssk 

https://www.uni-due.org/wp-content/uploads/2023/01/20230118_Aus_024_23_WMA_Biologie-Prof.-Hoffmann-Heckmann.pdf 

PhD student computational biology / bioinformatics (m/f/d) (fulltime)

The position will be hosted at the Institute of Human Genetics, in the workgroup "Regulatory Genomics" of Prof. Martin Kircher. The bioinformatics group performs research in the fields of sequence analysis, data mining, machine learning and functional genomics (https://kircherlab.github.io/). Our research focuses on computational approaches of identifying functionally relevant genetic changes in disease and adaptation as well as developing more sensitive methods in diagnostics (especially exome, genome and cell-free DNA sequencing). For example, we devise computational approaches (e.g. CADD, CADD-SV, ReMM) to score and identify functionally relevant genetic changes in the human genome. Understanding how gene regulation is encoded in our genomes across development and the diversity of cell-types is one of our fundamental research questions.

Start in our team:
The position is immediately available. The full-time contract will be issued for 3 years with the prospect of extension to finish the thesis work and related publications.

We offer:
• A collaborative research environment that encourages and supports scientific curiosity, innovation, and development of its team members • Training in computational biology and independent research • Receive guidance on PhD requirements and thesis work • Career development • Collaboration with internal and external partners • Participation in international meetings and scientific conferences • Salary based Full-time payment on the German E13 TV-L scale, if terms and conditions under collective bargaining law are fulfilled. This for example also includes 30 paid vacation days per year. • Flexible working hours and a family-friendly environment

Your responsibilities:
• Work on cutting-edge projects using state-of-the-art technology, • Analyze high-throughput sequencing data and develop custom computational tools, • Develop data standards and prepare data for analysis or computational modeling, • Develop or improve methods to infer disease and regulatory mechanisms, • Gain insights into the sequence encoding of molecular function and its relation to disease as well as epigenetic and 3D genome annotations, • Develop deep neural nets or classical machine learning models that integrate sequence features and molecular measures • Apply and improve methods for model interpretation, • Actively contribute to the lab, institute and international collaborations

Requirements:
• Master degree or equivalent in bioinformatics, computational biology or similar, alternatively in computer sciences with experience in molecular biology and large-scale data analysis • Basic knowledge of molecular biology, gene regulation and epigenetics • Highly skilled in a programming language such as Python, R, C++, or Java • Deep understanding of sequence analysis, statistical concepts and machine learning • Intermediate skills in an analysis environment like R or Python scipy/scikit learn • Prior experience with Unix, previous exposure to HPC environments is an advantage • Exposure to reproducible work and FAIR principles • Highly motivated to expand knowledge and develop innovative approaches • Diligent, goal-oriented and independent work attitude • Team-oriented with interdisciplinary communication skills • Very good English language skills

We are looking forward to your application. Please submit your application until 22.02.2023, indicating your earliest possible starting date as well as the reference number 21035. If you have any questions, do not hesitate to contact Prof. Martin Kircher: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! We live diversity and strongly encourage qualified female scientists to apply. UKSH and the University of Lübeck aim to increase the number of women among faculty and staff. Applications from people with an immigrant background who meet the hiring requirements are encouraged. Disabled candidates who are equally qualified will receive preference. https://jobs.uksh.de/job/L%C3%BCbeck-PhD-student-computational-biology-bioinformatics-%28mfd%29-%28fulltime%29-Schl-23538/895999501/ 

PhD Position in Genomics and Digital Health

We are searching for a highly motivated Ph.D. candidate (m/f/d) in the group of Senior Researcher Dr. H. O. Heyne situated at Hasso-Plattner-Institut for Digital Engineering.

# Objectives
- study genetic influences on epilepsy and other diseases - generate insights and tools with clinical relevance - work on genetic data (e.g. array or sequencing data) and clinical data (e.g. electronic health records) - gain expertise in quantitative/clinical genetics as well as statistical and analytical skills - learn to “science” independently including scientific writing, publishing and presentations - work with international collaborators (such as at the Finnish Institute for Molecular Medicine (University of Helsinki, FI), Hasso Plattner Institute for Digital Health at Mount Sinai (New York, US) and large international consortia) - teaching activities related to the Master course of “Digital Health” such as co-supervision of Master theses possible

# Qualifications
- graduated in (bio-)informatics, life science, statistical or related field - advanced programming skills are a plus (R/python, others) - ability to work well independently and in a team - commitment to transdisciplinary collaborative international research - excellent communication skills in English - experience with genetic and clinical data are a plus

# Work hours
- 40 hours per week

# Start date
- flexible

# Funding
- DFG

We are looking forward to receiving your application! Please send it including a motivation letter exclusively per Mail (PDF format) to: Henrike.Heyne(at)hpi.de.

Hasso-Plattner-Institut for Digital Engineering gGmbH
Hasso Plattner Institute Digital Health Center
Campus II
Rudolf-Breitscheid-Str. 187
14482 Potsdam

https://hpi.de/das-hpi/organisation/jobs/aktuelle-jobs/digital-health-center/phd-candidate-m-f-d.html 

PhD Position in Computational Proteomics (m/f/d)

We invite applications for a PhD position with a strong background or interest in bioinformatics, big data analytics, machine learning, applied mathematics and its application in computational proteomics. The successful candidate will become a key member of an ERC Starting Grant funded project called ORIGIN which aims to answer a fundamental question in biology: To which extent and prevalence are isoforms translated and functionally relevant.

While mass spectrometry-based proteomics is the de-facto standard for measuring proteomes, it is not good at identifying isoforms. Proteins, thus also isoforms, leave a deterministic multi-dimensional fingerprint in each proteomic measurement. The central goal is to discover and quantify protein isoforms systematically by a novel MS-based proteomics data analysis strategy that utilizes these fingerprints. Candidates therefore must have a strong interest in one or more of the following aspects:

Tap into the wealth of data the proteomics community has already amassed to train deep neural networks that allow the prediction of fingerprints. Implement an innovative data analysis strategy that utilizes the predictions to identify and quantify isoforms. Demonstrate that the novel approach can be used to address open questions in isoform-biology of varying biological and technical complexity. The main work duties of the PhD are in research and assisting in the supervision of bachelor and master-level scientist.

Full ad: https://www1.ls.tum.de/en/compms/job-offers/computational-proteomics-phd/ 

TU Munich
Professur für Computational Mass Spectrometry
Prof. Dr. Mathias Wilhelm
Maximus-von-Imhof-Forum 3
D - 85354 Freising

Postdoctoral Researcher Position in Correlative Image Data Analysis (m/f/d)

The Cluster of Excellence “Balance of the Microverse” at the Friedrich Schiller University Jena, Germany, combines expertise in life, material, optical and computational sciences to elevate microbiome studies from descriptive to hypothesis-driven and functional analyses. Our core mission is to elucidate fundamental principles of the interactions and functions in microbial communities in diverse habitats ranging from oceans and groundwater to plant and human hosts. We aim to identify the shared characteristics of disturbed or polluted ecosystems as well as infectious diseases on the microbiome level, and develop strategies for their remediation by targeted interventions. Our full spectrum of expertise in the physical and life sciences will be leveraged to address these important issues in natural habitats as well as synthetic arenas in a collaborative manner. The affiliated early career program of the Jena School for Microbial Communication (JSMC) offers an ambitious, structured and interdisciplinary post-graduate training based on top-level fundamental research.

The Cluster of Excellence Balance of the Microverse invites applications for a

Postdoctoral Researcher Position in Correlative Image Data Analysis (m/f/d)

commencing as soon as possible.

As the new member in the theoretical research group Applied Systems Biology, you will play a central role in the development of software tools for the quantitative analysis of data combining different imaging modalities. This project addresses the urgent need for advanced software tools to perform image analysis of big volume data that are generated in the Microverse Imaging Center (MIC) using microscopy and spectroscopy modalities in combination. The main goals of this project include the development of algorithms that are capable of performing correlative analyses as well as an environment, which enable application of these algorithms by any user not experienced in programming. To realize these goals, the software tools will be developed within the recently created visual programming language termed Java Image Processing Pipeline (JIPipe: www.JIPipe.org).

More information is avaliable on https://www.microverse-cluster.de/en/jobs.html?file=files/content/career/jobs/2023/Microverse_Postdoc_Figge_10-2022.pdf&cid=2289 

Postdoctoral Researcher (f/div/m) in Automated Processing of Bioimages

Job Advertisement Leibniz-HKI-02/2023

The Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute – (Leibniz-HKI, www.leibniz-hki.de) investigates the pathobiology of human-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The research group of Applied Systems Biology invites talented and highly gifted candidates to apply as as a

Postdoctoral Researcher (f/div/m) in Automated Processing of Bioimages for 2 years initially with the prospect of prolongation.

Research Areas: Automated image processing, machine learning, artificial intelligence, etc.

In the research group Applied Systems Biology a position for a postdoctoral researcher becomes available. The position is associated with aspects of the Image-based Systems Biology approach. This modern computational approach comprises the automated analysis of microscopy and/or spectroscopy data based on state-of-the-art methods from machine learning as well as the computer simulation of mathematical models using advanced modeling approaches. We are seeking highly motivated candidates that are interested to work on image processing in experiment-driven interdisciplinary studies.

More information is available on https://jobs.hki-jena.de/jobs/Postdoctoral-Researcher-fdivm-in-Automated-Processing-of-B-eng-j424.html 

Postdoctoral Researcher (f/div/m) in Computational Biology

Job Advertisement Leibniz-HKI-01/2023

The Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute – (Leibniz-HKI, www.leibniz-hki.de) investigates the pathobiology of human-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The research group of Applied Systems Biology invites talented and highly gifted candidates to apply as as a

Postdoctoral Researcher (f/div/m) in Computational Biology for 2 years initially with the prospect of prolongation.

Research Areas: Mathematical Modeling, State-based and Agent-based Modeling, Game Theory, etc.

In the research group Applied Systems Biology a position for a postdoctoral researcher becomes available. The position is associated with aspects of the Image-based Systems Biology approach. This modern computational approach comprises the automated analysis of microscopy and/or spectroscopy data based on state-of-the-art methods from machine learning as well as the computer simulation of mathematical models using advanced modeling approaches. We are seeking highly motivated candidates that are interested to work on mathematical modeling and computer simulations in experiment-driven interdisciplinary studies.

More information is available on https://jobs.hki-jena.de/jobs/Postdoctoral-Researcher-fdivm-in-Computational-Biology-eng-j423.html 

Bioinformatician / Data Scientist (m/f/d) in ScaDS.AI, Leipzig

The AI center ScaDS.AI

To support our team in Transfer & Service at ScaDS.AI Leipzig, we offer a full time position (TV-L E13, 100%) in the area of computational biology and bioinformatics. The position is limited till 31/05/2024, however, there is a possibility of extension. ScaDS.AI (Center for Scalable Data Analytics and Artificial Intelligence) Dresden/Leipzig is a center for Data Science, Artificial Intelligence and Big Data with locations in Dresden and Leipzig. It is one of the five new AI centers in Germany funded under the federal government’s AI strategy by the Federal Ministry of Education and Research and the Free State of Saxony. It is established as a permanent research facility at both locations with strong connections to the local universities: the TU Dresden and the Leipzig University.

your tasks
Within our team of Transfer & Service you will work in current biomedical projects with expertise in data analysis, bioinformatics and multi-omics data integration. It is expected that you support in EU-funded projects in which machine learning models for cancer prognosis are developed by integrating multiple data sources and types including genomics and transcriptomics. To this end, you will work in an interdisciplinary and international team at ScaDS.AI and in close collaboration with European-wide project partners.

• Performing bioinformatics data analyses in cancer research and other biomedical projects • Development and application of machine learning models based on multi-omics data for cancer prognosis and other diseases • Presentation and communication of results to project partners as well as in regional and international conferences • Supporting the development of demonstrators for the ScaDS.AI Living Lab • Supervision of students (to a small extent) your profile • A degree (Master/Diploma or PhD) in bioinformatics, computer science, mathematics or natural sciences or other relevant courses • Knowledge and high interest in multi-omics analyses, machine learning, and databases for cancer research • Good programming skills in Python, R, or other relevant programming languages • Good English skills and interdisciplinary communication • Experience in advanced techniques of artificial intelligence for biomedical application is a plus • Motivation and interest in new machine learning methods and new medical and biological topics

what we offer • You will work in an interdisciplinary and international team composed out of PhD students, PostDocs, application scientists and established researchers in the fields of AI, Big Data and bioinformatics • A preparation of a PhD thesis is possible • Flexible working hours, self-determined organization and diverse tasks as well as opportunities within the Transfer & Service center • up to two days of Home Office • An innovative environment in the center of Leipzig including modern work spaces and hardware for the development of cutting edge data science and AI • The ScaDS.AI is a center and part of a dynamic cosmopolitan university with a broad range of faculties and science including all research disciplines and a rich portfolio of study courses • Leipzig is a vibrating and exciting city surrounded by several lakes and known for its lively and alternative cultural scene

Applications should be made online via https://uni-leipzig.talentstorm.de/stellenangebote/bioinformatician-data-scientist-m-f-d-in-transfer-service-of-ai-center-scads-ai-12350 and addressed to Dr. Christian Martin.

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