Job ID293809BRPosition TitleData Scientist – Bioinformatics (80-100%*)Apply to Job
Job Description
250! That’s the number of data scientists leading a digital revolution at the Novartis Institutes for BioMedical Research (NIBR).
The Analytical Sciences and Imaging (ASI) department at NIBR is a group of ‘omics and imaging experts that drives technological innovation across the institute by supporting project teams with cutting-edge proteomics, metabolomics, and imaging readouts to drive drug discovery and validation. We are looking for an experienced computational scientist to work closely with our wet-lab and other dry-lab scientists in these endeavors.
Your responsibilities will include but are not limited to:
• Working closely with wet- and dry-lab collaborators to design, analyze, and interpret high-dimensional datasets such as proteomics, metabolomics, and imaging studies. Communicating findings to drug-discovery researchers of diverse scientific backgrounds.
• Take a leading role in shaping global initiatives of the ASI data science team and work with Novartis data science community to enable cross department data sharing and integration.
• Develop and maintain state-of-the-art data processing pipelines and train/support associates in the use of these and other data analysis tools.
• Keep ahead of scientific literature and interact with internal and external scientists to integrate novel data science technologies.
Minimum requirements
What you’ll bring to the role:
• Advanced degree or equivalent experience in bioinformatics, biostatistics, computational biology, machine learning, data science, or related field.
• Fluent English both spoken and written
• Three or more years of experience in analyzing ‘omics or biological imaging datasets in a drug discovery/development or relevant academic setting alongside excellent scientific communication skills and effective data visualization skills.
• Significant experience in R or Python, competency working in a Linux/Unix environment and knowledge about best practices for computational science – source code version control, documentation, etc.
Desired:
• Experience with designing analysis pipelines / workflows.
• Experience with using machine-learning techniques to mine biological datasets for actionable hypotheses.
• Demonstrated use of interactive data visualization frameworks (e.g., Shiny) to visualize high-dimensional data.
Why consider Novartis?
799 million. That’s how many lives our products touched in 2019. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives?
We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you’re given opportunities to explore the power of digital and data. Where you’re empowered to risk failure by taking smart risks, and where you’re surrounded by people who share your determination to tackle the world’s toughest medical challenges.
Imagine what you could do at Novartis!
Commitment to Diversity & Inclusion:
Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration, and empowers our people to unleash their full potential.
*Some restrictions on flexible working options may apply and will be discussed during interview if applicable.
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