We are looking for a postdoctoral colleague with a background in bioinformatics. Prior experience with R, Python, advanced statistics, machine learning, Linux, git, next generation sequencing, molecular and cellular biology, would be optimal. Enthusiasm for science, creativity, humor, independence, drive, the ability and willingness to work hard and learn, a collaborative spirit and a systematic nature are important traits for this position.
The bioinformatician will spend half of her/his time on general tasks and the other half on one or two specific scientific projects. The general tasks will be shared with the other team members. These include: further development and maintenance of the current data analysis pipelines; implementation of new, generally applicable data analysis techniques; performing and interpreting automated, standard analyses for different single cell projects; management and administration of the entire initiative which will consist of a large number of subprojects; educating, training and supervising other scientists in single cell genomic analyses so that they can analyse their data independently; contributing to scientific grant- and paper-writing. It is important that the bioinformatician is a scientist with a proven affinity with, or a strong desire and ability to learn about molecular, cellular and/or tumor biology. Half the time will be set aside for one or two independent scientific projects arising from this single cell initiative, with the bioinformatician in the lead, and in collaboration with other scientists and oncologists at the Máxima.
The advent of single-cell genomic approaches such as single cell RNA sequencing is making it feasible to study the cellular composition of tumors at an unprecedented level of detail. The full scale of tumor heterogeneity is being brought to light, as well as the exact composition of other tumor components. Besides enabling the study of tumor cell heterogeneity itself, this also allows for determination of the number and type of infiltrating immune cells, as well as complete analysis of tumor stromal components. In parallel to (novel) cell-type identification, the technique also allows the genes expressed by each individual cell to be studied. It is likely that such single-cell genomic approaches will be as transformative for the Life Sciences as the introduction of bulk genomic approaches.
Pediatric cancer encompasses a broad set of over 40 different tumor types. As part of a unique initiative to fully characterize all pediatric cancers using single cell genomics and to combine these analyses with clinical characteristics such as treatment outcome, we have an opening for a bioinformatician to join the team that is enabling this.
The single cell genomics team is embedded within the group of Prof. dr. Frank C.P. Holstege who has long-standing, internationally acclaimed experience in applying genomic technologies in a systematic manner to answer key molecular, cellular and clinical questions. For more information and/or to apply: Prof.dr. Frank C.P. Holstege
The Princess Máxima Center for pediatric oncology is Europe’s largest children’s oncology center. Our mission is to cure all children with cancer, thereby also aiming for an optimal quality of life by reducing adverse, long-term side-effects of cancer treatment. This ambition requires the best possible care combined with the best possible research. The Máxima is therefore a fully integrated hospital/research institute with intense collaboration between excellent research scientists and highly dedicated oncologists. The research activities of the Máxima are growing rapidly and cover the entire spectrum of disciplines required for our goals: from clinical trail management to fundamental research into molecular and cellular biology.