Novartis Institutes for BioMedical Research – Computational BiologistÂ
300 million people worldwide are visually impaired due to various causes. The Ophthalmology team at the Novartis Institutes for BioMedical Research (NIBR) is seeking a computational biologist to help develop the next generation of therapies for patients with macular degeneration (AMD), glaucoma, and other blinding diseases.
Job Title: Computational Biologist/Data Scientist
Job Id: 320639BR
You will work closely with members of the Ophthalmology team and other groups within NIBR to profile/stratify preclinical and clinical samples, understand the mechanisms of ocular diseases, and identify new targets and biomarkers. The successful candidate will be highly motivated, creative, curious and collaborative. As a member of the larger NIBR data science community, you will leverage and benefit from a global community with extensive know-how and resources in data analysis, data engineering and machine learning.
Minimum requirements
What you’ll bring to the role:
• Ph.D., or MS with at least 3 years of industry experience in computational biology, bioinformatics, systems biology, biostatistics, or related field.
• Demonstrated working knowledge and application of statistics and data modeling to large-scale omics data (including but not limited to RNA-seq, scRNA-seq data).
• Demonstrated excellent data visualization and interpretation skills and ability to communicate effectively with stakeholders and bioinformatics colleagues.
• Ability to evaluate and apply sophisticated mathematical and computational concepts to problem-solving situations.
• High-learning capacity and curiosity.
• Proficiency in R/Python and competency working in a Linux environment.
• Experienced with bioinformatics tools (Spotfire, cellxgene, etc.) and biological databases (MSigDB, GO, KEGG).
• Prior experience with spatial transcriptomics or GWAS analysis are a plus.
Your Responsibilities:
• You will analyze and visualize omics data, generate written and oral reports, and stay current with the literature and technological advances.
• You will collaborate closely with bench scientists and influence experimental design, hypothesis generation, and target validation.
• You will contribute to data analysis infrastructure development, including the evaluation and/or implementation of technologies and platforms/tools.
Novartis Institutes
