Bamini Jayabalasingham, PhD – a microscopic eye on big data
“It feels good to be able to help clients gain insights into the impact of the research they are funding.”
New York, USA
Many of Elsevier’s employees come from academia and industry, where they worked as researchers, technologists, data analysts, engineers, clinicians and more. At Elsevier, they use their skills and experience to develop a wide range of products that help researchers, clinicians and technologists make a difference.
Dr. Bamini Jayabalasingham has a PhD in Molecular Microbiology and Immunology from Johns Hopkins University in Baltimore. In addition to conducting scientific research, she has used her training to support evidence-based policy and program changes at the federal and municipal level in the United States and Canada. As Science Policy Analyst for the Public Health Agency of Canada, she translated the findings from the Population Health Microsimulation model for childhood and adult BMI to help policy makers understand future trends in the obesity epidemic in Canada. As Health Science Administrator for the Office of Research on Women’s Health at the National Institutes of Health (NIH), she supported the implementation of a policy to increase the impact of research investment on women’s health.
Now, as Senior Analytical Product Manager at Elsevier, she develops analytical products using bibliometric data to support the strategic planning needs of clients in academia, government and corporate R&D.
What prompted you to seek a position at Elsevier?
The opportunity to work with data to support evidence-based decision making by science policy developers. I liked that my clients would be science policy people, and I liked that the work would involve making sense of data to support their strategic planning and decision-making.
In Analytical Services, we create analytical reports on research performance by combining high quality data sources research metrics and technical expertise. The insights uncovered in our reports help our clients answer pressing questions so they can make data-driven decisions about funding allocations, research policies and strategy.
Our team has many years of experience serving policymakers, funders and academic and corporate research institutions around the world.
What aspects of your professional background and training do you use at Elsevier?
Mainly analytical skills, experimental design skills, data interpretation and communication. I work with clients to understand the questions they would like to answer. To uncover the answers to those questions, I work with my team to develop solutions using our data and metrics and communicate recommendataions and findings based on my analysis.
How is your work here different from what you used to do?
No more bench work! No malaria parasites to feed on Sunday afternoon.
Does your work here help you achieve something that is meaningful to you?
It feels good to be able to help clients gain insights into the impact of the research they are funding and to use big data to reveal things they may not know about their own research portfolio. For a university, that could mean pointing out a research strength that could help the institution improve its ranking. For a government agency, it could involve pointing out which research fields to invest in to bring the most benefit to the economy or improve societal issues.
What are your favorite things about working for Elsevier?
I get to work with smart, dedicated colleagues throughout the world who each bring valuable and interesting perspectives.