Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming
Uniquely positioned to enhance quality of life in aging, at Alkahest, we are pioneering science that is rapidly being translated to the clinic. Our approaches utilize multi-omics techniques to identify new therapeutics and apply them to patients.
The field of genomics is revolutionizing drug discovery. Indeed, drug targets with genetic support are twice likely to be approved. When causal genes are clear, the approval likelihood is even greater than two-fold. During the last few years, most of the evidence came from genome wide associations studies (GWAS) but recently, Mendelian Randomization (MR) gained a lot of interest. MR uses genetic variation as a natural experiment to investigate the causal relations between potentially modifiable risk factors such as plasma proteins levels and health outcomes. We are seeking a highly motivated computational biologist genomics to lead, advise and assist in the data analysis, interpretation and integration of large-scale GWAS and MR. These studies will involve cutting edge science and the efforts of this role will be pivotal in advancing our therapeutic capabilities. The role requires dedication, flexibility, excellent communication, and organization to successfully drive the science and achieve Alkahest’s corporate mission. This position reports to the Director of Data Science.
Alkahest offers a competitive compensation and benefits package, annual bonus, potential opportunities for career growth and development, and a work environment that is collaborative, collegial and lots of fun.
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Alkahest, a subsidiary of Grifols, is developing therapies derived from blood to treat neurological diseases, with an emphasis on age-related cognitive decline -- key medical challenges of our generation. The company’s breakthrough research has demonstrated that factors in blood plasma of young mice are able to reverse brain deficits in normal aging and Alzheimer’s disease models in mice. Clinical studies are being conducted in patients with di