Job Description:
Lead the cardiovascular and metabolic disease area (CVM-DA) computational biology team. You will be responsible for driving shared global and local strategies to advance the understanding of CVM disease biology to enable target identification, drug development, and patient identification and stratification. Your responsibilities will include: leading the development of novel methods for the integration of multimodal profiling data to enable the discovery of novel biologic pathways and druggable targets in cardiovascular diseases as well as the identification of cardiovascular disease subpopulations; driving innovation and maintaining high quality reproducible research standards with a keen eye towards the identifying and disseminating actionable biological information; leading and participating on teams that bring together bench scientists, clinicians, software and network engineers, statisticians and other bioinformaticians to provide high quality analyses of genome scale experimental and clinical data; seeking and incorporating external datasets and external collaborations to further the CVM-DA strategic goals. You must have a proven ability to work collaboratively to provide high quality research results. Major Accountabilities:
Additional Info:
Our people: With more than 6,000 scientists, physicians and business professionals around the world, we have an open, entrepreneurial and innovative culture that encourages collaboration as we work to push the boundaries of science to change the practice of medicine. NIBR focuses on the following disease areas: • Autoimmunity, Transplantation, and Inflammatory Disease • Cardiovascular & Metabolic Diseases • Immuno-oncology • Infectious Diseases • Musculoskeletal Diseases • Neuroscience • Oncology • Ophthalmology • Respiratory Diseases NIBR has built expertise around several key technology competencies. Each competency combines automation and robotics, computational science, biology and irreplaceable drug discovery knowledge. By building expertise around key technologies, it can be more effectively applied across diseases that share similar mechanisms. • Analytical Sciences • Biologics • Biomarker Development • Chemistry • Developmental and Molecular Pathways • Drug Metabolism & Pharmacokinetics • Genomics Institute of the Novartis Research Foundation › Developing advanced technologies, ranging from cellular genomics and proteomics to combinatorial chemistry and structural biology • Imaging • Metabolism and Pharmacokinetics • Preclinical Safety • Proteomic Chemistry • Translational Medicine NIBR has locations in: • Basel, Switzerland • Cambridge, MA • East Hanover, NJ • Emeryville, CA (SF Bay Area) • San Diego, CA • Shanghai, China • Singapore • Zurich (ESBATech) Thank you for taking an interest in the NIBR LinkedIn page. Please read Novartis' LinkedIn community guidelines: https://www.novartis.com/sites/www.novartis.com/files/linkedin-community-guidelines.pdf[Click Here to Access the Original Job Post]
Lead the cardiovascular and metabolic disease area (CVM-DA) computational biology team. You will be responsible for driving shared global and local strategies to advance the understanding of CVM disease biology to enable target identification, drug development, and patient identification and stratification. Your responsibilities will include: leading the development of novel methods for the integration of multimodal profiling data to enable the discovery of novel biologic pathways and druggable targets in cardiovascular diseases as well as the identification of cardiovascular disease subpopulations; driving innovation and maintaining high quality reproducible research standards with a keen eye towards the identifying and disseminating actionable biological information; leading and participating on teams that bring together bench scientists, clinicians, software and network engineers, statisticians and other bioinformaticians to provide high quality analyses of genome scale experimental and clinical data; seeking and incorporating external datasets and external collaborations to further the CVM-DA strategic goals. You must have a proven ability to work collaboratively to provide high quality research results. Major Accountabilities:
- Establish, communicate and drive integrated data analysis, dataset acquisition, and database architecture strategies that enable and shape the overall strategic vision of CVM-DA.
- Develop and maintain integrated data analytic and data acquisition partnerships across NIBR Basic Research, Translational Medicine, and the Franchise partners to drive innovative discovery in alignment with CVM-DA strategic goals
- Interface with key leaders and scientists across NIBR and Novartis, especially statistical and modeling groups, to address and resource analytical needs.
- Independently identify external data sources in alignment with the overall CVM-DA portfolio at study, project, and disease area levels; identify and develop external partnerships and collaborators, academic and industrial, to aid in the mission of our groups.
- Identify, develop, and implement innovative analytical methods that address drug discovery and development needs and gaps to increase productivity within the DA and in collaboration with internal or external groups.
- Maintain the computational group by attracting and retaining the best talent, support the development of computational talent, and serve as a mentor to junior associates.
- PhD and/or MD required in computational biology, bioinformatics, biostatistics, data science, cell or developmental biology, or a related field with 2+ years of management and leadership experience leading scientific analytical teams.
- Fluent English communication skills (oral & written)
- Leading, prioritizing resources and developing talent across a multidisciplinary team
- Extensive experience in analytical methods as applied to large multi-modal biological datasets with an emphasis on machine learning approaches.
- Deep hands-on understanding and analyzing pan-omic technologies.
- Experience integrating different data modalities to gain biological insights; proven track record of high quality novel analytics and actionable biological insights
- Experience with the analysis of next-generation sequencing data a must with associated expertise in R, Unix/Linux environments, and Python or other scripting language
- Building partnerships and alliances with external parties.
- Demonstrated ability to establish effective collaborative relationships with cross-functional scientific teams.
- Excellent interpersonal and communications skills and ability to represent the group throughout the wider scientific community
- Demonstrated organizational skills, aligning available resources to meet goals
- Laboratory experience in molecular, cell, organismal biology strongly preferred
Requeriments :
Skills :
- Cell Biology
- Lunix/Unix
- Machine Learning
- molecular biology
- Next Generation Sequencing
- Programing in Python
- Programming in R
Areas :
Additional Info:
Our people: With more than 6,000 scientists, physicians and business professionals around the world, we have an open, entrepreneurial and innovative culture that encourages collaboration as we work to push the boundaries of science to change the practice of medicine. NIBR focuses on the following disease areas: • Autoimmunity, Transplantation, and Inflammatory Disease • Cardiovascular & Metabolic Diseases • Immuno-oncology • Infectious Diseases • Musculoskeletal Diseases • Neuroscience • Oncology • Ophthalmology • Respiratory Diseases NIBR has built expertise around several key technology competencies. Each competency combines automation and robotics, computational science, biology and irreplaceable drug discovery knowledge. By building expertise around key technologies, it can be more effectively applied across diseases that share similar mechanisms. • Analytical Sciences • Biologics • Biomarker Development • Chemistry • Developmental and Molecular Pathways • Drug Metabolism & Pharmacokinetics • Genomics Institute of the Novartis Research Foundation › Developing advanced technologies, ranging from cellular genomics and proteomics to combinatorial chemistry and structural biology • Imaging • Metabolism and Pharmacokinetics • Preclinical Safety • Proteomic Chemistry • Translational Medicine NIBR has locations in: • Basel, Switzerland • Cambridge, MA • East Hanover, NJ • Emeryville, CA (SF Bay Area) • San Diego, CA • Shanghai, China • Singapore • Zurich (ESBATech) Thank you for taking an interest in the NIBR LinkedIn page. Please read Novartis' LinkedIn community guidelines: https://www.novartis.com/sites/www.novartis.com/files/linkedin-community-guidelines.pdf[Click Here to Access the Original Job Post]