Oliver has brought his experience of working with organisations in the life science sector to the role of Sales & Business Development Manager at Intellegens. He is helping us to focus our machine learning technology on accelerating innovation in the pharmaceutical and biotech sectors (read more on Intellegens for Life Sciences). Here, Oliver introduces himself…
1. What is your role at Intellegens?
Intellegens has had a number of productive applications of our machine learning technology within Pharmaceutical, Biotechnology and Contract Development & Manufacturing Organizations. And we’re involved in some interesting work, such as the recently-announced Oligonucleotides manufacturing project. My role is to build on this success by identifying new partnerships, developing relationships, and creating more projects that match the capabilities of Alchemite™ machine learning to the data analysis and experimental design needs of life science R&D.
2. What is your career/educational background?
I have worked for over 25 years in enterprise IT software sales and sales development. Over the last four years I have worked specifically within the Pharma AI sector. I originally studied Social Psychology as my degree at the University of Sussex. I found psychology fascinating and it definitely helps to understand client perspectives and needs and to help collaborative teams to function well. My experience within the Pharma sector is helping me to understand industry-specific requirements and processes.
3. What is good about working at Intellegens?
I enjoy working in scale-up environments and I really appreciate the friendly, entrepreneurial and open business environment at Intellegens, as well as the fact that Intellegens has quite a unique focus on being able to cope with sparse & noisy datasets (unlike most other machine learning platforms!).
4. What is something that you think makes Intellegens stand out from other companies?
What makes Intellegens compelling from a business development perspective is the fact that a lot of work has been done to make our platform intuitive for scientific teams while also giving data scientists a separate interface for coding, e.g., to create API integrations with other systems. I think this creates a good balance between offering power and flexibility on one hand and, on the other, making sure that the technology gets applied at the ‘sharp end’ of life science.
5. What do you enjoy doing when you are not at work?
Outside work I enjoy spending time with my children, going for long walks in the country.