Python Job: Computational Biologist

Job description:

We are currently looking for a motivated computational analyst for a collaborative project on identifying drivers of tumour-suppressive micro-environments. Our project addresses the question why some organisms, including many humans, never develop cancer in their lifetime. To address this question, we are using model organisms with high natural cancer resistance and exceptional longevity such as the naked mole-rat and Ansell’s mole-rat. Goal is to decipher natural mechanisms circumventing malignant transformation.

You will be responsible for leading and performing analysis as well as building computational models at the intersection of fast-evolving areas of single-cell genomics, clonal evolution and translational research.

Working as part of a supportive and collaborative team, you will formulate and pursue translational science questions based on large single-cell and genomics data sets. You will curate, manage and perform high quality data analysis and provide feedback to other computational and wet lab scientists. In addition to strong communication skills, you will be highly organized with a logical and diligent approach to information gathering.

Requirements:

Candidates must have a master's degree and PhD in relevant quantitative discipline (e.g. computational biology, genetics, bioinformatics, physics, engineering or applied statistics / mathematics) and a proven understanding and experience in the fields of genomics, data processing and high-throughput data analysis. Equally important is a high motivation to learn and adapt scientific challenges and to become a positive member of the labs. We use many different methodologies and concepts in different areas in biology. Therefore, an open mind set and a broad interest in biology across subfield boundaries is needed.

Other required skills:

• Experience programming in high level scripting languages (R and/or Python)
• Demonstrated expertise in the management and analysis of very large data sets
• Experience of writing manuscripts for publication

The DKFZ is committed to increase the proportion of women in all areas and positions in which women are underrepresented. Qualified female applicants are therefore particularly encouraged to apply.

Among candidates of equal aptitude and qualifications, a person with disabilities will be given preference.

To apply for a position please use our online application portal (https://www.dkfz.de/en/stellenangebote/index.php).

We ask for your understanding that we cannot return application documents that are sent to us by post (Deutsches Krebsforschungszentrum, Personalabteilung, Im Neuenheimer Feld 280, 69120 Heidelberg) and that we do not accept applications submitted via email. We apologize for any inconvenience this may cause.