Bioinformatics Data Scientist (two-year contract)

Key Skills

Unix Operating system, Java Programming, Python Programming, Framework, SQL, Machine learning techniques, Deep Learning, R Programming, R-Shiny, CDASH

Job Description

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 Autoimmunity, Transplantation and Inflammation (ATI) Disease Area at the Novartis Institutes for BioMedical Research (NIBR) and the Immunology Development Unit in Global Drug Development (GDD) are looking for a curious and motivated Bioinformatics Data Scientist to work on the analysis, integration, and interpretation of multiple types of omics data collected as part of our clinical trials in dermatology and rheumatology.

The ATI Bioinformatics team provides translational bioinformatics expertise and support to clinical and preclinical drug discovery programs targeting autoimmune diseases and chronic inflammation. We apply systems and computational biology approaches to internal and external biomedical data to enable strategies for disease understanding, target identification, biomarker discovery, indication selection, and patient stratification.

Please note this is a 2-year, fixed-term contract position.

Your responsibilities include but are not limited to:

• Application of modern biostatistics and machine learning methods to high-throughput molecular and clinical data.
• Analysis, integration and visualization of different types of omics data, including genomics, transcriptomics and proteomics.
• Contextualization of results from omics experiments, including correlation with clinical endpoints and phenotypes, generation and comparison of molecular signatures, pathway- and network- level analyses.
• Communicating with and presenting your work to a diverse audience of biologists, clinicians and data scientists.

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

Your responsibilities include but are not limited to:

• Application of modern biostatistics and machine learning methods to high-throughput molecular and clinical data.
• Analysis, integration and visualization of different types of omics data, including genomics, transcriptomics and proteomics.
• Contextualization of results from omics experiments, including correlation with clinical endpoints and phenotypes, generation and comparison of molecular signatures, pathway- and network- level analyses.
• Communicating with and presenting your work to a diverse audience of biologists, clinicians and data scientists.

What you’ll need:

• PhD in bioinformatics, computational biology, biostatistics, data science, biomedical informatics or a related field.
• Excellent knowledge of computational methods for the analysis, integration and interpretation of multiple types of high-throughput biological data from sequencing and array-based technologies.
• Demonstrated experience with the application of supervised and unsupervised machine learning methods to biomedical data.
• Excellent skills in data analysis, data visualization and statistical programming in R/Bioconductor.
• Familiarity with Linux/Unix command line and high-performance computing environments.
• Sound understanding of biology and immunology.
• Proficiency in English (oral and written).

Nice to have:

• Postdoctoral experience in academia or the pharmaceutical/biotechnology industry is considered a plus.
• Experience with the analysis of single-cell genomics data is considered a plus.
• Experience with other scripting languages (e.g., Python) and/or web development (e.g., Shiny, Dash) is considered a plus.
• Experience with deep learning methods and frameworks is considered a plus.
• Previous experience in translational and/or clinical research is considered a plus.

Why consider Novartis?

• 769 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.
• Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network