A multisectoral approach to data

  • August 27, 2019
A multisectoral approach to data

Diana Pirjol has set up a consultancy that brings together an innovative wide-ranging approach to the health, pharmaceutical and development sectors.

A Gates Cambridge Scholar has set up a consultancy business with fellow alumni which brings together data science, market research and industry expertise in the health, pharmaceutical and development sectors.

Diana Pirjol [2011] set up the Human Data Science Consulting Company earlier this year. Its USP is that it combines expertise in cutting edge data sifting technologies, has strong links with doctors, patient organisations, investment funds and pharmacists and can take a multisectoral approach towards problems with a focus on innovation.

Diana came up with the idea after she left the consultancy start-up she used to work for. She realised that most of the problems the organisation’s clients were facing were multisectoral. “Companies are looking more and more at predictive models and at accurately measuring and designing behavioural change interventions, but most consulting companies do not have the capacity to run such studies,” says Diana. One particular example relates to predicting treatment compliance and designing patient support programmes centred around patient profile and mindset. Human Data Science Consulting Company is able to bring together a team of epidemiologists, data scientists and neuroscientists who can come up with the best approach.

The company offers analysis, forecasting, data collection and training. It helps companies to do everything from understanding the context of disease such as unmet population needs, conducting epidemiological studies, measuring prescribers’ and the general population’s behaviour and evaluating the current status of healthcare services and products, including access and quality.

The start-up mainly works on pharmaceutical and health-related projects with major pharmaceutical corporations, hospitals and health insurance companies, but it is also interested in working on issues relating to social and economic empowerment with development organisations and public sector institutions. 

The start-up has an international focus and a core team of 11 people, a number of consultants and advisers. Their backgrounds include academics from Cambridge University, MIT, Johns Hopkins University and Harvard University, experts with an industry background in organisations such as AT Kearney, Bain & Company, the World Economic Forum, Analysis Group, Ropharma and the World Bank. Their expertise spans epidemiology, psychology, neuroscience, behavioural science, health economics, marketing and machine learning and many have in-depth industry knowledge.

The Romania-based start-up is growing fast – the team has doubled since it was launched and the number of local and international projects has increased. One such project includes a national study of HPV which brought together data from the general population and doctors. “We were looking at parents’ knowledge, attitudes and behaviour towards vaccination and access issues,” says Diana. The company will be present at a number of events this year, including the ECCO summit on cancer and an Aspen Institute high-level meeting and representatives will be meeting with the US ambassador in Berlin this September.

Diana, whose background is in market research and impact evaluations in the pharmaceutical and healthcare sector, is currently working on business development and funding opportunities to build the start-up. Diana says fellow Gates Cambridge alumna Eva-Maria Hempe [2007] is one of her key advisers and that her industry expertise is vital for the company. Eva-Maria has a PhD in healthcare management, extensive experience in management consultancy and used to work as a project manager for the World Economic Forum. 

Diana is receiving ongoing business mentoring while she scales the business and upskills her team and has sought advice from other Gates Cambridge scholars, including the Simprints teamAnastasiia Kamenska [2010], a Strategy Project Manager at Novartis, and Julia Fan Li [2008], who was the first Director of the Global Health Investment Fund. She says: “Gates Cambridge was very, very important for me. It helped expose me to what other people in different disciplines were doing. I learned from them. It introduced me to a more entrepreneurial mindset.”

*If you have experience in any of the above areas and are interested in joining the team to take part in business development or project implementation, please get in touch with Diana at dpirjol@human-datascience.org. More information about the company can be found here.

Diana Pirjol

Diana Pirjol

  • Alumni
  • Romania
  • 2011 MPhil Public Health
  • St Edmund's College

I pursued the Mphil in Epidemiology at Cambridge University as a Gates Scholar and I am now doing my MBA at CEU. I am an epidemiologist by training with extensive work experience with the pharmaceutical companies, IQVIA, the World Bank Group, CDC, patient organizations, and NGOs from the U.S., Eastern, and Western Europe.
In the past, I was a consultant with the World Bank Group, the world-leading development organization, and later with IQVIA, the world's leading pharmaceutical consulting firm. Overall, I have ten years of multidisciplinary project management, sales, and marketing experience in the pharmaceutical and healthcare fields. I was in charge of leading product development from its official launch to exiting the market. Specialties: strategy development, project management, stakeholder management, financial analysis.

Links

https://www.hdigr.com
https://www.linkedin.com/in/diana-pirjol-31725816

Eva-Maria Hempe

Eva-Maria Hempe

  • Alumni
  • Germany
  • 2007 PhD Engineering
  • St John's College

I am interested in questions around innovation, knowledge creation and management, organizational learning and the influence of contextual settings. My research in Cambridge focused on healthcare services, more specifically the design of services for people with learning or intellectual disabilities. I have been living in Switzerland (first Geneva, now Zurich) since 2015.

Links

http://everydayservicedesign.blogspot.co.uk
http://eva-maria.hempe.org
https://www.linkedin.com/in/eva-maria-hempe

Anastasiia Kamenska

Anastasiia Kamenska

  • Alumni
  • Ukraine
  • 2010 PhD Biochemistry
  • Wolfson College

I got a lifetime opportunity to work towards a PhD degree in Biochemistry, the field that inspires me the most. I strongly believe that our better understanding of the mechanisms that regulate translation of proteins in cells can have a tremendous number of implications. I hope that the unique expirience Cambridge Department of Biochemistry provides will help me to develop as a cutting-edge scientist. I am excited to become a part of a powerful Gates Scholars network and want to commit and gain the most of it.

Julia Li

Julia Li

  • Alumni, Trustees
  • Canada
  • 2008 MPhil Bioscience Enterprise
    2009 PhD Engineering
  • St John's College

Julia completed a PhD Engineering in 2012, which focused on innovative financing solutions for global health. Stemming from her PhD research at Gates Cambridge, she originated, raised and deployed the world's first $108mm Global Health Investment Fund with Lion's Head Global Partners and the Bill and Melinda Gates Foundation. The purpose of the fund was to provide financing to advance the development of drugs, vaccines, diagnostics and other interventions against diseases that disproportionately burden low-income countries. Before coming to Cambridge, Julia qualified as a Chartered Accountant with KPMG's Canadian biotechnology practice and undertook projects for a variety of organisations including GAVI and WHO. During her time in Cambridge, Julia co-founded the African Innovation Prize, served on the University Council, and initiated and convened the Cambridge Global Health Commercialization and Funding Roundtable.

Julia is currently based in London's White City biomedical campus as Co-Founder & CEO of Micrographia Bio, a deeptech bio company focused on applying machine learning to bioimaging to accelerate drug discovery.

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