Postdoctoral Fellowship Bioinformatics in Cancer Immunotherapy, Data Scientist
Roche Pharma Research and Early Development (pRED), an industry leader in pushing the boundaries of the sciences in drug development, is committed to develop more personalized healthcare solutions at lower cost to society. In order to continuously deliver more efficacious cancer immunotherapy, pRED is constantly utilizing all the data collected from all current and past clinical trials to maximize the learning of our drugs and to drive fully data-driven decision making. One of such reverse translational efforts aims to establish clinically-relevant knowledge about immune escape mechanisms in cancer. We are looking for a passionate postdoctoral research fellow who will help us push the boundary of response to cancer immunotherapy through integrating OMICs data and applying machine learning. In this postdoc position, you will have the opportunity to:
- Work with experts in cancer immunotherapy to analyze the first-hand data from clinical trials and make discoveries that benefit the patients
- Contribute to a global data science team through leveraging and developing analytics pipelines and libraries for multiple OMICS data modalities
- Publish and share your discoveries with the cancer research community
We are looking for a highly motivated individual who has a passion for driving science through technology, spirit of teamwork, and excellent communication skills that will thrive in a multidisciplinary team to deliver best results. A successful candidate will have the following skills or experience:
- Ph.D. degree in Bioinformatics, Computer Science, Biostatistics, Applied Mathematics, Applied Physics or related discipline.
- Hands-on experience in processing and analyzing Next Generation Sequencing data (DNA-Seq & RNA-Seq) using common bioinformatics pipelines
- Proficiency in Python and R
- Experience in machine learning is a plus
- Knowledge about genetics, immunology, tumor immunology and / or tumor biology and genetics is a plus