VP, Head of Artificial Intelligence & Machine Learning, Open to flexibility

3 days left

Location
Stevenage, Hertfordshire
Salary
£Competitive
Posted
03 Oct 2018
Closes
22 Oct 2018
Ref
WD183465
Contract Type
Permanent

VP, Head of Artificial Intelligence & Machine Learning, Open to flexibility

Reporting in to the SVP Head of Data & Computational Science, the Head of AI/ML will be responsible for developing and executing the new R&D Strategy to access large databases derived from carefully genotyped and phenotyped patient populations, coupled with technological advances in data analytics, to direct drug discovery and development to a new generation of targets with significantly increased probability of success.

As the Head of AI/ML you will focus on addressing our most complex problems from drug discovery (genome analytics, compound screening, safety prediction, target validation, biological networks) through to development and the release of new medicines. Additionally, you will increase the skills and capabilities of the broader Data Science community at GSK.

Working in partnership with scientific domain experts, you will develop and implement state-of-the-art AI/Machine Learning approaches on novel R&D problems. You will also continue to advance the AI/Machine Learning discipline by evaluating unique aspects of drug discovery problems and configuring algorithms to provide a competitive advantage in disease understanding, biomarker development, target validation, speed to develop viable compound and prediction of compound success in humans (Efficacy/Safety).

GSK is seeking an expert in the application of Artificial Intelligence Machine Learning to lead us on this exciting journey where the advances in the use of AI/ML for drug discovery and development will play a significant part in bringing life-changing medicines to patients enabling them to do more, feel better and live longer.

Key Responsibilities

  • Lead the design, build and deployment of AI/ML solutions for large and very large datasets
  • Provide thought-leadership to the broader R&D organisation on the optimal evaluation and implementation of AI/ML
  • Lead a team of AI/ML data scientists in addressing our most complex problems across the drug discovery and development value-chain including but not limited to; genome analytics, compound screening, safety prediction, target validation, biological networks
  • Lead the rapid expansion of the AI/ML resources through personal network and professional recruitment
  • Lead the strategy, design and implementation of scalable, efficient, automated processes for model development, model validation and model implementation and large scale data analysis
  • Identify emergent trends and opportunities for additional data analytical development

Technical Skills & Experience

  • Advanced degree in Computer Science, Mathematics, Engineering, or related field
  • Demonstrated deep expertise in the Artificial Intelligence/Machine Learning field, with a record of publication on emerging capabilities
  • Expertise in drug discovery is preferred, but not required
  • Proven direct experience in the use of analytical tools, such as SPSS, R, Python, etc to develop models
  • Demonstrated ability to manage, retain and grow teams of data scientists
  • A deep knowledge of data analytics and the deployment of solutions within a diverse environment
  • Hands-on experience building retrospective and predictive models including clustering, classification, social network analysis, association to solve business issues;
  • Knowledge of and experience in planning and performance management methods and best practices, as well as emerging trends and capabilities in the areas of business improvement (project management, change management, continuous improvement).

To apply please send your CV and cover letter. Closing date for applications is Monday October 22nd.

*LI-GSK

Why You?

Basic qualifications:

  • Advanced degree in Computer Science, Mathematics, Engineering, or related field

Preferred qualifications:

  • N/A

Why GSK?:

At GSK, our mission is to improve the quality of human life by enabling people to do more, feel better and live longer. Our three world-leading businesses research and deliver innovative medicines, vaccines and consumer healthcare products. We need a talented and motivated workforce to deliver against our strategy. To achieve this, we strive to attract the best people and to create an environment that empowers and inspires.

GlaxoSmithKline (GSK) is a science-led, global healthcare company that researches and develops innovative products. GSK currently employ over 100,000 people globally and has offices in more than 115 countries. The Company has major research centers in the UK, USA, and Spain, Belgium and China and an extensive manufacturing network with 84 sites globally. The Company strategy is focused around growing a diversified global business, delivering more products of value, and simplifying their operating model. Being a responsible business is central to the strategy, and how they deliver success is just as important as what they achieve. In order to ensure they meet society's expectations, the company ensures that their values are embedded into the organisation's culture and decision-making. By investing in these areas the Company will increase growth, reduce risk and improve their long-term financial performance. GSK is a globally renowned company that owns internationally recognized brands and products. They have a healthy pipeline of innovative products and are well positioned to continue their success into the future.

Contact information:
You may apply for this position online by selecting the Apply now button.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK HR Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.

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