Senior Discovery Scientist in Systems Biology of Metabolic Diseases
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A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.
In Roche’s Pharmaceutical Research and Early Development organization (pRED), we make transformative medicines for patients to tackle some of the world’s toughest unmet healthcare needs. At pRED, we are united by our mission to transform science into medicine. Together, we create a culture defined by curiosity, responsibility and humility, where our talented people are empowered and inspired to bring forward extraordinary life-changing innovation at speed.
pRED Cardiovascular & Metabolism, Immunology, Infectious Diseases and Ophthalmology (CMI2O), located in Basel, Switzerland, focuses on the discovery and early development of innovative treatments for specific diseases that affect the lives of millions. In the cardiovascular and metabolism area, we are developing cutting-edge therapies to treat metabolic diseases. You will be part of an international group that includes scientists and clinicians who are developing medicines for the future.
CMI2O is recruiting a Senior Discovery Scientist to the Systems Biology group. We are seeking a creative and talented team-member to support our understanding of disease mechanisms. The CMI2O Systems Biology group is an integral component of the CMI2O drug discovery and early development pipeline, facilitating data integration and knowledge management, deepening disease understanding and proposing new biological targets and biomarkers based on systematic, unbiased, data-driven approaches.
You will assimilate into a team of systems biologists, responding and adapting to project goals in an agile manner. The team works across CMI2O disease areas and collaborates extensively to leverage resources from our wider data and analytics community. Your principal focus will be in Metabolic Diseases. You bring responsibility, curiosity, and humility to your work and recognise the needs of our patients in the work that you do; you will have space to bring your authentic-self to the team.
Playing a leading role in developing in silico experimental design and operation of a data-driven metabolism-focusedresearch group;
Undertaking rigorous advanced analytics exploration of data from disease areas of strategic relevance and providing reproducible reporting of emergent biological insights to stakeholders;
Facilitating and supporting research collaborations and access to data and analysis tools for Roche experimental scientists;
Performing computational analyses of large-scale omics data (genomics, bulk and single-cell transcriptomics, proteomics): pre-processing of raw data, high-level analysis, and visualisation to enable interpretation and deduce new biological insights;
Validation and optimisation of emerging computational research tools and implementation of novel and existing standardised workflows;
Data management, standardised reporting, and maximising democratised access to data and analytics consistent with FAIR principles.
You hold a PhD degree in a biomedical, biotechnology, computational (e.g. Computer Science, Physics, Mathematics, Statistics) discipline or interdisciplinary field (e.g. Systems Biology, Computational Biology, Bioinformatics, Biomedical Engineering, Biostatistics) and a 2-5 years postdoctoral experience in your domain with demonstrable output. You have a deep understanding of biology and insights into disease systems. Domain knowledge, which may include immunology, chronic autoinflammatory disorders, metabolic disorders, the gut microbiome would be valuable;
Programming/scripting skills in R and/or Python and working knowledge of Linux/Unix, with experience in data processing in an HPC cluster environment are required. Strong statistical, reporting, and data visualisation skills are essential;
Expertise in the handling, integration and visualisation of multimodal data from human clinical and/or model systems (e.g. genomics, transcriptomics, proteomics, metabolomics) for understanding disease mechanisms and elaborating novel therapeutic hypotheses is essential. Experience in interpreting complex trait genomics data (e.g. GWAS, QTL data) and time-series data would be valuable;
You are able to work as part of matrix teams, taking leadership as well as participant roles as needed to ensure the success of individual teams and the organisation. You have experience building and maintaining stakeholder relationships across an organisation. You are able to manage more than one project at a time and instil agile approaches and outcome-oriented mindset in the team and partners;
You adopt a highly-collaborative approach to your work across enterprise teams and understand the urgency of our mission for patients. You are able to balance teamwork and individual responsibilities. You share expertise with others and contribute to building a psychologically safe and inclusive environment;
You are fluent in English.
Roche commits to recognising talent and aptitude. We prioritise encouraging and supporting our employees on their personal journeys by providing a safe, creative space to help them reflect, make decisions and grow in their career.
We are confident that we find the most innovative solutions by gaining different perspectives, asking and answering hard questions, and challenging the status quo. Roche embraces diversity and equal opportunity in a serious yet enthusiastic way; we are devoted to building a team that represents a range of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.
At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.
Basel is the headquarters of the Roche Group and one of its most important centres of pharmaceutical research. Over 10,700 employees from over 100 countries come together at our Basel/Kaiseraugst site, which is one of Roche`s largest sites. Read more.
Besides extensive development and training opportunities, we offer flexible working options, 18 weeks of maternity leave and 10 weeks of gender independent partnership leave. Our employees also benefit from multiple services on site such as child-care facilities, medical services, restaurants and cafeterias, as well as various employee events.
We believe in the power of diversity and inclusion, and strive to identify and create opportunities that enable all people to bring their unique selves to Roche.
Roche is an Equal Opportunity Employer.