1+ months

Machine Learning Engineer - GSK

San Francisco, California

At GlaxoSmithKline we have created a world-leading data and computational environment to enable large scale scientific experiments that exploit GSK’s unique access to data. Our focus is on bringing data, analytics & science together into solutions for our scientists to develop medicines for patients.

We are seeking to grow our team with brilliant and diverse contributors with technical ability. We are looking for machine learning experts that want to be part of a team that discovers new medicines. This is an exciting role that will stretch your knowledge and curiosity, offering the opportunity to learn new skills and work within a global community.

This is a hands-on position where you will be empowered to be creative, ambitious and bold, to solve novel R&D problems and have the potential to directly impact the lives of patients living with disease. We have impressive tool-kits and world class data, and we are now looking for talented people to join us.


Why You? 

As a Machine Learning Engineer we’d like you to be able to:

  • Influence machine learning strategy for a program/project; explores design options to assess efficiency and impact, develop approaches to improve robustness and rigour
  • Be a key contributor to the planning and direction of a project and effectively prioritize goals
  • Lead discussions at peer review and uses quantitative skills to positively influence decision making
  • Effectively explain technical concepts at all levels in the organization, including senior managers/stakeholders
  • Lead, or makes major contributions to, improvements in methodology or initiatives to address capability gaps or increase efficiency
  • Represent GSK externally to advance technical capability across the Industry
  • Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models
  • Create algorithms to extract information from large, multiparametric data sets
  • Deploy your algorithms to production to identify actionable insights from large databases
  • Compare results from various methodologies and recommend best techniques to stake holders
  • Design, develop and implement analytical solutions using a variety of commercial and open source tools (common tools include Python, R, TensorFlow)
  • Develop and embed automated processes for predictive model validation, deployment, and implementation
  • Connect and collaborate with subject matter experts in biology, chemistry, and medicine.
  • Make impactful contributions to internal discussions on emerging machine learning methodologies

Requirements

Basic Qualifications: 

We are looking for professionals with these required skills to achieve our goals:

  • Master's degree in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Computational Biology, Computational Chemistry or related quantitative field with 5-7+ years of experience
  • Ph.D in related quantitative field with 2-3 years of experience

Preferred Qualifications: 

If you have the following characteristics, it would be a plus:

  • Expert understanding of a programming language such as Python or R.
  • Experience with at least one Deep Learning framework such as TensorFlow, Keras, or PyTorch
  • Excellent written and verbal communication skills
  • Ability to work autonomously and collaboratively as part of a team to both teach and learn every day

Why GSK? 

Our values and expectations are at the heart of everything we do and form an important part of our culture.

As GSK Focuses On Our Values And Expectations And a Culture Of Innovation, Performance, And Trust, The Successful Candidate Will Demonstrate The Following Capabilities

These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork.

  • Operating at pace and agile decision-making – using evidence and applying judgement to balance pace, rigour and risk.
  • Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution.
  • Continuously looking for opportunities to learn, build skills and share learning.
  • Sustaining energy and well-being
  • Building strong relationships and collaboration, honest and open conversations.
  • Budgeting and cost-consciousness

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.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.

 

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Posted: 2019-04-25 Expires: 2019-06-24

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Machine Learning Engineer - GSK

GSK
San Francisco, California

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