Auf einen Blick
- Aufgaben: Lead analyses and build computational models in cancer research.
- Arbeitgeber: Join the largest biomedical research institution in Germany focused on cancer.
- Mitarbeitervorteile: Enjoy flexible hours, 30 vacation days, and a family-friendly environment.
- Warum dieser Job: Contribute to groundbreaking research on cancer resistance with a supportive team.
- Gewünschte Qualifikationen: PhD in computational biology or related fields; strong programming skills required.
- Andere Informationen: Position is initially limited to 2 years, with potential for extension.
Das voraussichtliche Gehalt liegt zwischen 42000 - 84000 € pro Jahr.
Position: Computational Postdoc
The German Cancer Research Center is the largest biomedical research institution in Germany. With more than 3,000 employees, we operate an extensive scientific program in the field of cancer research. The Division of Regulatory Genomics and Cancer Evolution is seeking a motivated computational biologist for a collaborative project on early cancer development.
The project addresses the question why some organisms, including many humans, never develop cancer in their lifetime. To address this question, we use comparative genomics approaches involving two model organisms with vastly different cancer susceptibilities: mice (which readily develop tumors upon treatment with a chemical carcinogen) and naked mole-rats (which are naturally resistant to cancer). The goal is to untangle the molecular and cellular mechanisms driving natural cancer resistance and those involved in the earliest stages of cancer development.
You will be responsible for leading and performing analyses as well as building computational models at the intersection of comparative genomics, clonal evolution, and translational research. The collaborative project interlinks two research groups at the German Cancer Research Center and combines cutting-edge genomics technologies and computational methods with cell biology to understand early cancer development. Working as part of a supportive and collaborative team, you will formulate and pursue translational scientific questions based on large genomics datasets. You will curate, manage and perform high quality data analysis and provide feedback to other computational and wet lab scientists.
Requirements:
- PhD in a field related to computational biology (e.g. genetics, bioinformatics, physics, engineering or applied statistics/mathematics)
- Proven understanding and experience in the fields of genomics, data processing and high-throughput data analysis
- Solid training in molecular and system-wide biology
- High motivation to learn and adapt to scientific challenges
- Strong communication skills
- Excellent programming and data analysis skills in high-level scripting languages (R and/or Python)
- Demonstrated expertise in the management and analysis of very large data sets
- Experience in writing manuscripts for publication
- Excellent organizational skills
- Fluent in English and good written and oral communication skills
We offer:
- Interesting, versatile workplace
- Excellent framework conditions: state-of-the-art equipment and opportunity for international networking at the highest level
- Remuneration according to TV-L incl. occupational pension plan for the public service and capital-forming payments
- 30 days of vacation per year
- Flexible working hours
- Possibility of mobile work and part-time work
- Family-friendly working environment, including parent-child room, counseling services, e.g. on Elder Care
- Sustainable travel to work: subsidized Germany job ticket
- Access to the DKFZ International Postdoc Program and DKFZ Career Service
- Corporate Health Management Program offers a holistic approach to your well-being
Important notice:
The DKFZ is subject to the regulations of the Infection Protection Act (IfSG). As a consequence, only persons who present proof of immunity against measles may work at the DKFZ.
Earliest possible start date:
As soon as possible
Duration:
The position is initially limited to 2 years with the possibility of prolongation. The position can in principle be part-time.
Application deadline:
29.09.2023
Contact:
Johanna Hoffmann
Phone +49 (0)6221/42-4522
Please note that we do not accept applications submitted via email.
Computational Postdoc Arbeitgeber: German Cancer Research Center in the Helmholtz Association
Kontaktperson:
German Cancer Research Center in the Helmholtz Association HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Computational Postdoc
✨Tip Number 1
Familiarize yourself with the latest research in comparative genomics and cancer evolution. This will not only help you understand the project better but also allow you to engage in meaningful discussions during the interview.
✨Tip Number 2
Showcase your programming skills by working on relevant projects or contributing to open-source initiatives. Highlighting your experience with R and Python can set you apart from other candidates.
✨Tip Number 3
Network with current researchers in the field, especially those at the German Cancer Research Center. Attend conferences or webinars where they present their work to gain insights and make connections that could benefit your application.
✨Tip Number 4
Prepare to discuss your approach to data analysis and how you manage large datasets. Being able to articulate your thought process and organizational skills will demonstrate your readiness for the role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Computational Postdoc
Tipps für deine Bewerbung 🫡
Understand the Project: Familiarize yourself with the research focus of the project on early cancer development. Highlight your relevant experience in comparative genomics and how it aligns with the goals of the project.
Tailor Your CV: Customize your CV to emphasize your PhD and any relevant experience in computational biology, data analysis, and programming skills in R and/or Python. Make sure to include specific examples of your work with large datasets.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your motivation to join the team, your understanding of the scientific challenges, and your ability to contribute positively to the collaborative environment.
Proofread and Submit: Before submitting your application, carefully proofread all documents for clarity and correctness. Ensure that you follow the submission guidelines and submit your application through the StudySmarter website by the deadline.
Wie du dich auf ein Vorstellungsgespräch bei German Cancer Research Center in the Helmholtz Association vorbereitest
✨Show Your Passion for Cancer Research
Make sure to express your genuine interest in cancer research and the specific project on early cancer development. Discuss any relevant experiences or projects that have fueled your passion for this field.
✨Demonstrate Your Technical Skills
Be prepared to discuss your programming and data analysis skills, particularly in R and Python. Provide examples of how you've managed and analyzed large datasets in previous roles or projects.
✨Highlight Collaborative Experience
Since the position involves working in a collaborative environment, share examples of past teamwork experiences. Emphasize your ability to communicate effectively with both computational and wet lab scientists.
✨Prepare Questions About the Project
Show your engagement by preparing thoughtful questions about the project and the research groups involved. This demonstrates your proactive approach and interest in contributing to the team's goals.