[BBC] PhD Candidate Patient Sub-stratification in Acute Myeloid Leukemia

[Erik van den Akker]

THE POSITION
We are looking for a highly motivated candidate for a PhD project in
Computational Oncology at the department of Biomedical Data Sciences. This
project focuses on the integrative analysis of multiple types of omics data
to improve diagnosis, prognosis and predicted treatment outcomes of
patients with acute myeloid leukemia.

IN SHORT
• You will work on the deep molecular characterization of acute myeloid
leukemia, to identify clinically relevant sub-entities of the disease,
actionable determinants of treatment resistance and potential targets for
immuno-therapy
• You will work in a multi-disciplinary environment ranging from data
science to translational oncology within the recently established Leiden
Center for Computational Oncology
• You will disseminate your work by writing scientific manuscripts and
presenting your research at international conferences. The combination of
this work will lead to a PhD title

WHAT YOU WILL DO
Acute myeloid leukemia (AML) is a cancer of the myeloid blood lineage that
typically affects elderly patients. Current efforts for a personalized
prognosis and treatment focus on the detection of just a few genetic
aberrations, thereby ignoring the overwhelming evidence that AML is mostly
driven by epigenetic and metabolic factors. Within the newly established
Leiden Center for Computational Oncology, acute myeloid leukemia was chosen
as one of the projects to spearhead the development of novel computational
tools that support personalized medicine beyond the 'one-mutation one-drug'
paradigm. Hence, within this project, you will be employing molecular data
created from clinical material to capture multiple regulatory levels
(genetics, transcriptomics, metabolomics, proteomics) to improve patient
stratification, prediction of treatment responses and identification of
novel therapeutic targets. The activities of the PhD candidate are purely
computational and will be embedded within the Leiden Computational Biology
Center (prof. M. Reinders), and the department of Hematology (prof. H.
Veelken MD).

WHAT WE ASK
You hold a MSc degree in Bioinformatics, Statistics, Life Sciences, or a
similar area. You possess a strong background in data analytics, have
hands-on experience with applying machine learning methods, and you are
familiar with scripting languages such as R or Python. Knowledge of genetic
analysis and transcriptomic studies are favored but not required. You enjoy
the pursuit of knowledge across multiple fields, and you have an optimistic
and kind nature.

INTERESTED?
Please send your CV and motivation letter (deadline November 15th) to:
https://lumc.recruitee.com/l/en/o/phd-candidate-patient-substratification-in-acute-myeloid-leukemia-d20bhmr03/c/new

Kind regards,

Erik van den Akker

Leiden University Medical Centre

Molecular Epidemiology
<http://www.molepi.nl/en/people/people_item/t/erik_van_den_akker>

Einthovenweg 20, 2333 ZC, Leiden, The Netherlands

Building 2 [Research], Room S5-38

tel: +31 (0)71 526 85 57


Delft University of Technology

Delft Bioinformatics Lab
<https://www.tudelft.nl/ewi/over-de-faculteit/afdelingen/intelligent-systems/pattern-recognition-bioinformatics/the-delft-bioinformatics-lab/>

Van Mourik Broekmanweg 6, 2628 XE, Delft, The Netherlands

Building 28 [WI], Room W5.820

tel: +31 (0)15 278 55 17
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