Novartis Institutes for BioMedical Research – Computational Biologistย
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 youโll bring to the role:
โข Ph.D., or MS with at least 3 years of industry experience in computational biology, bioinformatics, systems biology, biostatistics, or related field.
โข 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).
โข Demonstrated excellent data visualization and interpretation skills and ability to communicate effectively with stakeholders and bioinformatics colleagues.
โข Ability to evaluate and apply sophisticated mathematical and computational concepts to problem-solving situations.
โข High-learning capacity and curiosity.
โข Proficiency in R/Python and competency working in a Linux environment.
โข Experienced with bioinformatics tools (Spotfire, cellxgene, etc.) and biological databases (MSigDB, GO, KEGG).
โข Prior experience with spatial transcriptomics or GWAS analysis are a plus.
Your Responsibilities:
โข You will analyze and visualize omics data, generate written and oral reports, and stay current with the literature and technological advances.
โข You will collaborate closely with bench scientists and influence experimental design, hypothesis generation, and target validation.
โข You will contribute to data analysis infrastructure development, including the evaluation and/or implementation of technologies and platforms/tools.
Novartis Institutes
