Software Engineer (m/f/div) - ['Vollzeit']

Software Engineer (m/f/div) - ['Vollzeit']

Jena Vollzeit 36000 - 60000 € / Jahr (geschätzt) Kein Home Office möglich
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Auf einen Blick

  • Aufgaben: Join our team to develop and maintain web apps and data analysis pipelines.
  • Arbeitgeber: Be part of the Leibniz Institute, a leader in life science research and innovation.
  • Mitarbeitervorteile: Enjoy competitive pay, state-of-the-art resources, and a diverse, inclusive work environment.
  • Warum dieser Job: Work on exciting life science problems and make a real impact with cutting-edge technology.
  • Gewünschte Qualifikationen: You need a degree in computer science or bioinformatics and experience with R/Python.
  • Andere Informationen: We encourage applications from all backgrounds, especially women in science.

Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.

The research group Microbiome Dynamics invites talented and highly gifted candidates to apply as Software Engineer (m/f/div) The research group Microbiome Dynamics (MDB) is seeking a highly skilled software engineer with a keen eye and interest in solving exciting life science problems. Given the high demand for big data analysis applications in the life sciences, our demand for hardware and software solutions towards efficient, high-performance computation increases constantly. In the recent past, we significantly upgraded our computer hardware to match our current demands. On top of that, we reach out to the community whenever possible and encapsulate our services into pipelines and web applications. Both our hardware and software require constant monitoring and maintenance. To ensure the fulfilment of our goals, we welcome applications from software and IT specialists with the following expertise: Your profile: University degree in computer science, bioinformatics, or a comparable field Experience in accessing server units through command-line, as well as developing / maintaining analysis pipelines in containerized environments, is a must Proficiency in R and/or Python for pipeline and web application development, as well as big data analysis Interest in life science data science, including gene expression and microbiome data analysis, is a plus Knowledge of statistical methods in the context of biological systems is a plus Your tasks: In collaboration with our team, the tasks to be addressed by the software engineer comprise: Web app development and maintenance Curation of pipelines dedicated to efficient, high-throughput data preprocessing and analysis Cluster management / server administration Distributed computing / software scaling towards grid engines Monitoring / work load surveillance of our HPCs We offer: The software engineer will be hosted in the research group Microbiome Dynamics (MBD) of Prof. Dr. Gianni Panagiotou of the Leibniz-HKI in an international, dynamic team with access to state-of-the-art computational resources. Remuneration will be according to the TV-L (Collective Agreement for the Public Service of the Federal States, unrestricted, full-time) at the salary level E10. Depending on qualifications, adjustments are possible. As an equal opportunity employer, the Leibniz-HKI is committed to increasing the percentage of female scientists and therefore especially encourages them to apply. For further information: Prof. Dr. Gianni Panagiotou | +49 3641 532-1759 | Applications: Leibniz-HKI is proud to be an equal opportunity employer and promote diversity and inclusion in the workplace. It aims to increase the proportion of underrepresented groups in case of equal suitability. All qualified persons, regardless of color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other classification protected by law will receive consideration for employment. Complete applications in English should include a cover letter, a CV containing a complete list of publications, a brief statement of research experiences, and the addresses of two possible referees and should be submitted via the Leibniz-HKI online application system. The deadline for the advertisement is February 28, 2025, but applications will be reviewed on a rolling basis. Leibniz Institute for Natural Product Research and Infection Biology Adolf-Reichwein-Straße 23 | 07745 JenaInformatik Bioinformatik Biologie Bioinformatik Spezialist, Spezialistin, Fachkraft IT, EDV, Telekommunikation Forschungseinrichtung Vollzeit

Software Engineer (m/f/div) - ['Vollzeit'] Arbeitgeber: Leibniz Institute for Natural Product Research and Infection Biology

At the Leibniz-HKI, we pride ourselves on being an excellent employer, offering a dynamic and inclusive work environment within the cutting-edge research group Microbiome Dynamics. Our commitment to employee growth is reflected in our access to state-of-the-art computational resources and opportunities for collaboration on exciting life science projects. We foster a culture of diversity and equal opportunity, encouraging talented individuals from all backgrounds to contribute to meaningful scientific advancements.
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Kontaktperson:

Leibniz Institute for Natural Product Research and Infection Biology HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: Software Engineer (m/f/div) - ['Vollzeit']

✨Tip Number 1

Make sure to highlight your experience with command-line server access and containerized environments. This is a must-have skill for the role, so be ready to discuss specific projects where you've utilized these technologies.

✨Tip Number 2

Showcase your proficiency in R and/or Python by preparing examples of your pipeline and web application development. Being able to demonstrate your coding skills will set you apart from other candidates.

✨Tip Number 3

Express your interest in life science data science during the interview. Familiarity with gene expression and microbiome data analysis can give you an edge, so be prepared to discuss any relevant experiences or projects.

✨Tip Number 4

Familiarize yourself with the latest trends in big data analysis applications within the life sciences. Being knowledgeable about current challenges and solutions in this field will show your passion and commitment to the role.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Software Engineer (m/f/div) - ['Vollzeit']

University degree in computer science, bioinformatics, or a comparable field
Experience in accessing server units through command-line
Development and maintenance of analysis pipelines in containerized environments
Proficiency in R and/or Python for pipeline and web application development
Big data analysis skills
Interest in life science data science, including gene expression and microbiome data analysis
Knowledge of statistical methods in the context of biological systems
Web app development and maintenance
Cluster management / server administration
Distributed computing / software scaling towards grid engines
Monitoring / work load surveillance of HPCs
Strong problem-solving skills
Ability to work collaboratively in a dynamic team environment
Adaptability to new technologies and methodologies

Tipps für deine Bewerbung 🫡

Understand the Role: Make sure to thoroughly read the job description for the Software Engineer position. Understand the specific skills and experiences required, such as proficiency in R and/or Python, and experience with server management and data analysis.

Craft a Tailored Cover Letter: Write a cover letter that highlights your relevant experience and enthusiasm for life science data science. Mention specific projects or experiences that align with the tasks outlined in the job description, such as web app development or pipeline curation.

Update Your CV: Ensure your CV is up-to-date and includes a complete list of publications, relevant work experience, and any technical skills that match the job requirements. Highlight your educational background in computer science or bioinformatics.

Prepare Additional Documents: Along with your cover letter and CV, prepare a brief statement of your research experiences and the addresses of two possible referees. Make sure all documents are in English and formatted professionally before submission.

Wie du dich auf ein Vorstellungsgespräch bei Leibniz Institute for Natural Product Research and Infection Biology vorbereitest

✨Show Your Technical Skills

Be prepared to discuss your experience with R and Python, especially in the context of pipeline and web application development. Highlight any specific projects where you utilized these languages for big data analysis.

✨Demonstrate Your Problem-Solving Abilities

Since the role involves solving life science problems, think of examples where you've tackled complex issues in previous projects. Be ready to explain your thought process and the methods you used to arrive at solutions.

✨Familiarize Yourself with Life Science Data

Brush up on your knowledge of gene expression and microbiome data analysis. Showing a genuine interest in life sciences will set you apart and demonstrate that you're a good fit for the research group.

✨Prepare Questions About the Team and Projects

Engage with the interviewers by asking insightful questions about the Microbiome Dynamics research group and their current projects. This shows your enthusiasm for the role and helps you understand how you can contribute effectively.

Software Engineer (m/f/div) - ['Vollzeit']
Leibniz Institute for Natural Product Research and Infection Biology
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