Data Scientist (AI Ethics & Data Privacy) Job

Date: Jun 20, 2019

Location: Singapore, SG

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Requisition ID: QUA009200

Company Introduction

MSD is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where MSD has codified its 125-year legacy. MSD’s success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. 

MSD’s Information Technology division partners with colleagues across the business to help serve our patients and customers around the world. Ours is a high-energy team of dynamic, innovative individuals dedicated to advancing MSD’s contribution to global medical innovation by leveraging information and technology to efficiently advance the business by driving revenue and productivity. 

Role Summary

The data scientist’s primary focus will be to ensure responsible and ethical creation of AI products for internal customers. This role acts as the coordination point between global data science and compliance, legal, IT risk management and the office of ethics.

Key Responsibilities 

  • Identify and influence instances in the AI project development and deployment lifecycle where ethical considerations become relevant and ensure AI projects are privacy compliant. 
  • Collaborate with internal functions to set up internal governance for AI projects.
  • Create relevant AI Ethics training content and resources for data scientists beginning or involved in AI projects.
  • Implement Explainable AI capabilities to pre-emptively audit and identify discriminatory models. This may include model audit components, tools, workflows and training at project and enterprise level. 
  • Participate in speaking engagements both internal and external to the company to spread awareness and position MSD as a thought leader in the space.
  • Allocate 30% of time to support on-going AI projects.
  • Remain abreast of research and implementation in AI governance domains such as model transparency, fairness and explainable AI.
  • Remain abreast of policy and regulation developments in the AI Ethics and Privacy space including but not restricted to Singapore’s PDPC and EU’s GDPR.


  • An ideal candidate would have a hybrid background or appreciation of policy and compliance together with a hands-on understanding of data science and AI product development
  • We evaluate candidates on a case-by case basis but appreciate qualifications in quantitative, scientific and technology disciplines, or humanities graduates with a technical bent.
  • Tool agnostic but common tools include Spotfire, R, Python, and SQL.

All experience levels will be considered and offers will be made at a level commensurate to the individual.

How to Apply? 

Interested candidates can submit their application online through MSD Career site. If you need further information, you can email Anthea Quek (

What we offer at MSD? 

Your role at MSD is integral to helping the world meet new breakthroughs that affect generations to come, and we’re counting on your skills and inventiveness to help make meaningful contributions to global medical advancement. At MSD, we’re inventing for life.

Search Firm Representatives, Please Read Carefully: 

MSD is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at MSD via email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of MSD. No fee will be paid in the event the candidate is hired by MSD as a result of the referral or through other means.

Job: Quantitative Sciences Generic
Other Locations:
Employee Status: Regular
Number of Openings: 1
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Company Trade Name: MSD

Job Segment: Database, Scientific, Medical, Scientist, Product Development, Engineering, Technology, Healthcare, Science, Research

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