VerifiedBiotechnology· Founded 2012

Jaivik Data Consulting

Jaivik Data Consulting is a biomedical data consulting company that provides services to global institutions for management and analysis of life sciences data. Our mission is to provide best-in-class biological data management and analysis services to enable researchers and clinicians to improve human health through prevention, diagnosis, and treatment of diseases and conditions. With our research-based approach and services, we identify relations critical to genes and disease discovery as well as improve biomedical research by transforming data into scientific knowledge. We define, design and provide custom research solutions and services to corporate, pharmaceutical and academic institutions in the field of bioinformatics, applied genetics, biostatistics and proteomics. Our approach and pipelines for data analysis always begin from the scratch to innovate new methodologies. Lower costs, boosted efficiencies and an infusion of fresh ideas make us the chosen partner for many global clients.Our offerings include cutting-edge solutions for analysis of next-generation sequencing including RNA-Seq, whole exome and whole genome datagene expression, CNV detection, DNA methylation, genome-wide association and high throughput genetics and proteomics data. We support our clients by providing expertise and infrastructure for data management and high performance statistical computing and bioinformatics for data analysis. Our vision is to best understands and satisfy the customer needs by providing high-quality life science data analysis and management services. We turn data into knowledge. Our scientists and supporting staffs are committed to providing best-in-class solutions, services, and support to our customers around the globe. We are continuously upgrading our services and infrastructure to meet the needs of evolving life science and healthcare market.

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HeadquartersNew Delhi, IndiaEmployees2(11 to 50)Founded year2012Websitejaivikdata.comLinkedIn profileLinkedIn

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