I am heading the Data Assets and Insights Solutions team focusing on creating impact on our pipeline with FAIRified, enriched, semantically integrated data products (e.g., Hubble) in combination with solutions which provide insights to key scientific and business questions along the entire R&D value chain (e.g. Aelixir).

I collaborate with different functions to acquire, process and transform data using technologies for better insights and decision-making for Pharma R&D.​

My name is Pinky Damani, I'm with Bayer for 14yrs, originally from Mumbai, India, but settled in NJ, USA. I love to play cricket and badminton. Married, 2 children. Currently, working on Spectrum DMW platform with CDSA, Accenture and Oracle, part of Data Transformation and Ingestion Team, I'm very excited and happy to be part of DSA&I. Looking forward to our connect!

The SCLM4Future project together with the PRINCE (Preclinical Information Center) project as well as the CONDAS (Connecting Data for Science) team is an excellent example for a successful cross-functional collaboration between CD&O, RED preMed and DS&AI within Research & Development but also between Platform IT and external partners. Together the team achieved to overcome legacy manual processes, redundant maintenance work, and functional silos by introducing new digital solutions and concepts with a strong collaborative mindset. The newly released SCLM 2.0 (Standard Codelist Maintenance) & PTO (Preclinical Terminology and Ontology) systems will enable our organization to improve the quality of controlled terminologies with regards to standard codelists and codes while reducing maintenance time and effort. This will have a positive impact on the code/codelist consistency across clinical and preclinical, as well as the compliance to regulatory requirements (e.g. CDISC (Clinical Data Interchange Standard Consortium) Controlled Terminology). The approach to share our knowledge as well as our efforts across functions will be an important step to archive our goals to increase data quality, interoperability and reusability – or to make a long story short: to make our data even more FAIR. For more information contact: Daniela Bergann.