Internship in Bioinformatics Data Science
- Employer
- Novartis
- Location
- Basel, Switzerland
- Salary
- Competitive
- Closing date
- Mar 22, 2023
View more
- Discipline
- Life Sciences, Bioinformatics, Physical Sciences, Information Technology
- Position Type
- Full Time
- Organization Type
- Pharma
Job Details
250! The number of genomics research projects that are waiting for your data analysis expertise every year. Your work will be important towards faster discovery and development of next generation breakthrough therapies for unmet medical need.
The Immunology Disease Area at the Novartis Institutes for BioMedical Research (NIBR) in Basel is seeking a highly motivated postgraduate to join our Data Science team for an internship. Our team provides translational data science expertise and support to clinical and preclinical drug discovery programs targeting autoimmune diseases and chronic inflammation. We integrate and analyse internal and public biomedical data to enable strategies for patient stratification, compound differentiation, biomarker discovery, target identification and disease understanding.
Timing: as soon as possible
Duration: 6 month
Your responsibilities:
Analyse and integrate multiple single-cell transcriptomics (scRNA-seq) datasets to identify pathways, signatures, and biomarkers which impact autoimmune diseases
Benchmark and validate computational methods and bioinformatics pipelines
Apply statistical and machine learning methods to characterize disease phenotypes and drug treatment effects
Contextualize and interpret statistical results to formulate hypothesis on mechanisms of disease
Visualize and present results of your work to an interdisciplinary audience
Diversity & Inclusion / EEO
Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
Minimum Requirements
What you’ll bring to the role:
Master’s degree in bioinformatics, computational biology, or a related field
Excellent skills in data analysis, data visualization and statistical programming in R/Bioconductor
Good knowledge of computational, statistical methods for handling high dimensional ‘omics’ datasets. Prior experience in analysing scRNA-seq data is highly desirable
Good understanding of biology and ability to contextualize results
Ability to work independently and as part of an interdisciplinary team
Excellent communication skills and knowledge of English.
Why consider Novartis?
799 million lives were touched by Novartis medicines in 2020, and while we’re proud of this, we know there is so much more we could do to help improve and extend people’s lives.
We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation. That a diverse, equitable and inclusive environment inspires new ways of working.
We believe our potential can thrive and grow in an unbossed culture underpinned by integrity, curiosity and flexibility. And we can reinvent what's possible, when we collaborate with courage to aggressively and ambitiously tackle the world’s toughest medical challenges. Because the greatest risk in life, is the risk of never trying!
Imagine what you could do here at Novartis!
Company
At Novartis, we are reimagining medicine.
Our purpose is to reimagine medicine to improve and extend people's lives. We use innovative science and technology to address some of society's most challenging healthcare issues. We discover and develop breakthrough treatments and find new ways to deliver them to as many people as possible.
Novartis has one of the industry’s most competitive pipelines. Many of these projects, which include new molecular entities as well as additional indications and different formulations for marketed products, are for medicines that could significantly advance treatment standards for patients worldwide.
We have entered an exciting era in health and biomedical innovation. Powered by our incredible colleagues, supported by our flexible-hybrid working model, new AI powered learning, personal growth and career platform and a refreshed commitment to diversity, equity & inclusion, we are well-poised to help lead this transformative moment for our industry and for ourselves. Join Us!
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