Element / Life Sciences - Olaris
Olaris
Problem :
- Lack of technology capabilities and bandwidth to support metabolite data science team. Niche skills required in Data Sciences and Bioinformatics.
- Large bioinformatics data (including NGS data) from multiple sources, data accuracy and standardization.
- To scale clinical innovations and introduce new research diagnostic products in the market for an enhanced patient experiences.
Solution :
- Identified & deployed dedicated bio informatics team of Data scientists, Data engineers, Open-source technology professionals.
- The team had excellent hands-on expertise in working with large bio medical data sets.
- Hybrid (offsite/offshore) outsourced model.
- Deployment of predictive models and data visualization for the client/ customer eco system.
Outcome :
- Expedited the delivery of the beta diagnostic product (by 10 -12 months).
- Critical clinical insights through predictive models. Visual exploration of biological data and sophisticated analytical view.
- Drove innovation & enabled collaboration between metabolite data science team & client’s customers team.
- Evolved a center of innovation to help client launch new diagnostic products.