Research Associate Junior (all genders) at the Research Institute Children’

at  UKE Universittsklinikum HamburgEppendorf

Eppendorf, Eppendorf, Germany -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate24 Feb, 2025Not Specified28 Jan, 2025N/AGood communication skillsNoNo
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Description:

BETTER TOGETHER. FOR LIFE.

At the University Medical Center Hamburg-Eppendorf (UKE), we are committed to excellence in research, education, and comprehensive healthcare across our clinics. Every day, our team of approximately 15,300 dedicated employees works to make the world a healthier place. Our goal is to be one of the leading university hospitals while also being the best employer in our industry.
At UKE, we believe that meaningful and successful work should align with our employees’ personal needs and individual lifestyles. Just as diverse as these needs are, so too is the variety of personalized solutions we offer.

Responsibilities:

MAIN TASKS

The Research Institute Children’s Cancer Centre at the University Medical Center Hamburg-Eppendorf is looking for a highly motivated research assistant (PhD/Postdoc) in the Computational Pediatric Oncology working group (headed by Prof. Dr. Michael Bockmayr) starting 01.03.2025. A later start can be accomodated in principle. We actively support and offer the chance to pursue a PhD alongside the project. The research group is dedicated to the development of quantitative methods for pediatric hematology and oncology. You will be involved in an exciting project in which machine learning methods are used to enable more accurate predictions of diagnosis, survival and therapy response in pediatric cancers from high-dimensional omics data, in particular single-cell sequencing data. Strong individualised support is guaranteed throughout the entire period. In addition, you can expect a motivated and dynamic team of physicians, natural scientists, bioinformaticians, technical assistants and students at the Research Institute, who are investigating pediatric cancers as part of various projects and with different approaches.

YOUR TASKS:

  • Development of clinically relevant classification algorithms using machine learning methods based on high-dimensional omics datasets.
  • Integration of different molecular data types (genomics, epigenomics, transcriptomics at bulk and/or single cell level) with clinical variables
  • Close collaboration with the experimental research groups at the Children’s Cancer Centre and the clinical study groups
  • Presentation of research results at international conferences and publication as first author in recognised journals
    This position is to be filled with 100 percent of regular weekly working hours and is initially limited to three years due to third-party funding.


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Hospital/Health Care

Pharma / Biotech / Healthcare / Medical / R&D

Health Care

Graduate

Proficient

1

Eppendorf, Germany