Machine Learning Developer and Scientist (KTP Associate)
University of Hertfordshire / Manor Pharmacy KTP
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Machine Learning Developer and Scientist (KTP Associate)

University of Hertfordshire / Manor Pharmacy KTP
  • Full time Position
  • St Albans (United Kingdom)
  • Published on August 13 2020
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Job description

An exciting opportunity has become available for a qualified graduate to manage and deliver the Knowledge Transfer Partnership (KTP) project plan to develop and grow a health and lifestyle service aimed at preventing metabolic disorders, using a range of personalised inputs to generate dietary recommendations.

This position is a 25 month fixed term, full-time contract, with a £2,000 per year dedicated training budget tailored towards your personal development.

Flexible working may be available.

Manor Pharmacy Group is a successful, independent group of pharmacies. They have taken a strategic decision to expand their services, with a holistic approach to the prevention of metabolic diseases under the brand ProLongevity, which this project will develop and promote.

What we are looking for

  • Professional interpersonal, presentation and time management skills.
  • Flexible, adaptable and able to demonstrate initiative and leadership skills in a team setting.
  • Enjoy responsibility, solving unexpected problems and challenging the status quo.
  • Keen to learn about the healthcare sector
  • Interest in applying technology in different forms
  • Good written and verbal English
  • Strong work ethic
  • Experience of integrated software development, programming, databases, security and user experience gained from academic studies or work experience.
  • Experience in having built and deployed web and mobile apps in the past with robust cloud-based backend that scaled well through periods of significant user growth.
  • Hands-on coding experience with both backend (MySQL, NoSQL, PHP, Python, C#) and client app development (Javascript, JS frameworks, UX).


Qualifications

  • BSc Honours degree with good classifications (at least upper second-class) in a computer related subject or equivalent.
  • Postgraduate qualification in a relevant field (Desirable)