Research Scientist, Computational Biology - Spain
We seek a talented computational scientist to specialize in the analysis and interpretation of high-throughput assay data to elucidate the mode of action of compounds and the molecular basis of drug sensitivity and resistance. The insight gained will contribute directly to identification and development of novel therapies for complex diseases of unmet medical need. The position would suit a post-doctoral level researcher, looking to bridge the gap between academic and industrial research. We are looking for strong previous experience in omics data analysis, integration and interpretation, as well as a demonstrated ability to derive mechanistic insight through advanced analysis methods.
The Computational Research group focuses on the application and development of computational analysis methods to improve therapeutic outcomes for patient populations across a range of diseases. This position would involve considerable inter-disciplinary collaboration with colleagues across Research and academic collaborators.
Responsibilities include, but are not limited to:
· Perform computational analysis for exploration and interpretation of various types of high-throughput molecular profiling data, including single-cell approaches;
· Develop and implement state-of-the-art approaches for biological pathway and network analysis to elucidate perturbation of cellular processes and patient molecular phenotypes;
· Assist in defining and implementing best practices for resource usage, version control, code and knowledge sharing.
· Present and report methods, results and conclusions to a publishable standard, both internally and outside the company where required; and
· Participate in wider group endeavors concerning the elucidation of compound mechanisms of action, drug resistance and prediction of target indications.
- PhD in computational biology / bioinformatics, statistics, computer science or related fields, with a firm grasp of genomics and/or genetics, from a recognized higher-education establishment;
- Prior experience (3+ years) in analysis and interpretation of -omics data in academic or scientific research scenarios, supported by high-quality publications;
- Familiarity with protein interaction/regulatory network collections and network/pathway based analysis methods. Experience with single-cell profiling approaches an advantage;
- Ability to understand and communicate the output of computational biology research to multi-disciplinary scientific teams;
- Expertise in Linux, statistical programming and data manipulation, using e.g. R/Bioconductor, Matlab, Python, plus good knowledge of contemporary database structures
- Experience with version control and high performance computing, including cloud computing (e.g. AWS) and cloud HPC ; and
- Verbal and written English language fluency. Proficiency in Spanish would be advantageous.
The Institute for Translational Research Europe is the company’s first dedicated R&D site outside the USA and provides a bridge between R&D and the European research community. The institute was founded in 2010, and laboratory research activities began in June 2011. The Institute now houses a team of highly qualified scientific research and administrative staff drawn from Spain and other European member states. Our activities focus on Translational Research into new treatments for cancer and other rare and complex diseases. Scientific activities comprise three main departments: The Human Diseased Tissue Laboratory (HDTL), the Computational Biology research group, and the Clinical Trials Unit. Onsite facilities include extensive cell culture, flow cytometry, microscopy, genomics, immunohistochemistry, and state-of-the-art computational analysis infrastructure for biomarker discovery and patient stratification. The three groups are inter-linked by the tissue Biobank, which receives patient tissue samples, obtained from multi-centre trials managed by the Clinical Trials Unit in Spain and across Europe, to provide the basis for inter-disciplinary research into biomarker detection, patient selection criteria, and compound mechanisms of action. Together, these components form a Translational Research centre which coordinates and conducts the company's medical research in Europe, and enables rapid and effective transfer of new developments and discoveries to EU patients. Furthermore, the institute provides a focal point in Europe for collaborative translational research into cancer and inflammatory diseases, with a mission to rapidly deliver new compounds to the clinic.