Computational Postdoc - Heidelberg, Deutschland - Springer Nature

Springer Nature

Geprüftes Unternehmen

Heidelberg, Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

Computational Postdoc:

Employer
Raven51 AG (DKFZ)
Location
Heidelberg, Baden-Württemberg (DE)
Salary
Remuneration according to TV-L incl. occupational pension plan for the public service and capitalfo
Closing date 3 Apr 2024
Discipline

Biomedicine, Computing
Job Type
Postdoctoral
Employment - Hours
Full time
Duration
Fixed term
Qualification
PhD
Sector
Charity/NGO- You need to sign in or create an account to a job.

The German Cancer Research Center (DKFZ) 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 Divisions of
Artificial Intelligence in Oncology and
Regulatory Genomics and Cancer Evolution at the DKFZ are jointly seeking a

Computational Postdoc (Ref-No

For collaborative efforts between the labs of Prof. Dr. Moritz Gerstung (Division of Artificial Intelligence in Oncology) and Prof. Dr.

Duncan Odom (Division of Regulatory Genomics and Cancer Evolution), we are seeking a dry-lab postdoctoral scientist for the exciting intersection between large-scale genetic analysis utilizing experimental models, spatial biology, single-cell sequencing, tumorigenesis, and mutagenesis.

Due to the collaborative capabilities of these labs to both capture and analyze unique and large-scale genetic datasets using custom approaches, we have several running projects and new opportunities to delve into the fundamental forces driving tumorigenesis, tumor evolution, and spatial biology.

Amongst other projects, we are investigating the principles of lesion segregation, a potential mechanism describing the acquisition and passage of somatic lesions throughout tumor progression.

Other topics of interest include studying gender-specific molecular differences within the acquisition and maintenance of malignancies, the identification and classification of cellular populations and niches, and the development of both 'classical' and AI/ML-based computational approaches to help condense and interpret the full breadth of genetic and molecular features investigated.

Job description:

Requirements:

Master's and PhD degree in bioinformatics, clinical data science, AI/ML, or a related field
Track record of writing papers, evidenced by publications or submitted manuscripts
Affinity for collaborative work across discipline boundaries
Interest in cancer biology and reproducible research
Proficiency in spoken and written English, German skills are beneficial Knowledge in the following fields is a plus:
Prior experience in the field of molecular oncology
Experience in working with largescale sequencing efforts (whole genome, whole transcriptome, methylation, singlecell sequencing)
Prior experience working with Linux and highperformance clusters (HPC)
R/Python and Snakemake or Nextflow (or others)

We offer:

Interesting, versatile workplace
Excellent framework conditions: stateoftheart equipment and opportunity for international networking at the highest level
Remuneration according to TV-L incl. occupational pension plan for the public service and capitalfo

rming payments

30 days of vacation per year
Flexible working hours
Possibility of mobile work and parttime work
Familyfriendly working environment, including parentchild room, counseling services, e.g. on Elder Care
Sustainable travel to work: subsidized Germany job ticket
Develop your full potential: access to the DKFZ International Postdoc Program and DKFZ Career Service with targeted offers for your personal development to further develop your talents
Our Corporate Health Management Program offers a holistic approach to your wellbeing

The position is initially limited to 2 years with the possibility of prolongation.

Important notice:

For further information please contact
Dr. Moritz Gerstung, phone /