(Bio-)Statistician

Reference number: 2024-0211

  • Heidelberg
  • Full-time
  • Biostatistics

“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.


The Division of Biostatistics provides state-of-the-art statistical support individually tailored to all scientific duties of the DKFZ. We analyze data from various sources, from high-dimensional molecular data to data from in vitro studies and clinical trials. Our field of activity ranges from biostatistical consulting and statistical analysis of biomedical data to the development of complex methods for specific scientific questions. Our team strives to be at the forefront of interdisciplinary research and applied statistics.

Our division offers:
• A position at the DKFZ, initially for two years, where you will work in a competent and committed team of statisticians
• Collaborative clinical projects with a variety of interesting clients
• The freedom to develop biostatistical approaches emerging from real-life applications, specifically for precision oncology
• A chance to contribute to the advancement of cancer research and oncology
• A competent and friendly team situated in the northern part of beautiful Heidelberg

 

Your Tasks

We are looking for a biostatistician with experience in randomized and/or observational clinical studies and in clinical trial methodology research who likes to work on challenging projects. We expect the candidate to continue existing and initiate new collaborations in national and international research projects as leading statistician.

Your duties:

  • Provide biostatistical support for researchers at the DKFZ in all phases of their randomized or observational trials, from trial design and data analysis to interpretation and publication of results
  • Develop and apply novel biostatistical methods and analysis strategies

Your Profile

  • Master's degree, PhD in (bio-)statistics or biometry
  • Experience with design and analysis of clinical trials
  • Sound knowledge within the field of statistics
  • Solid statistical programming skills, preferably with R
  • Very good written and oral communication skills in English
  • Strong interest in interdisciplinary research

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:

Prof. Dr. Annette Kopp-Schneider
Phone: +49 (0)6221/42-2391

Duration: The position is initially limited to 2 years with the possibility of prolongation.
Application Deadline: 15.09.2024
Applications by e-mail cannot be accepted.
 

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.

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