Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change.

Director Regulatory Policy & Intelligence(Machine Learning)

Your tasks and responsibilities

The primary responsibilities of this role, Director Regulatory Policy & Intelligence(Machine Learning), are to: 


  • Actively contribute to Regulatory Affairs organization to achieve business objectives;
  • Lead a team of regulatory intelligence professionals to gather, analyze, and communicate timely and relevant regulatory information, globally;
  • Monitor and assess the global regulatory environment to anticipate and communicate regulatory trends through an understanding of regulatory guidelines, regulations, and laws that may impact Bayer’s products or regulatory business processes;
  • Collaborate with regional regulatory policy, therapeutic areas, and other functions to stay abreast of changes in the global regulatory environment, and to quickly review, analyze, and summarize regulatory developments;
  • Govern the process for assessing draft legislation, regulations, and regulatory guidelines to recommend development of Bayer-specific positions and technical comments;
  • Design and develop Technology-enabled analysis and reporting tools to deliver actionable regulatory insights, including creation of a regulatory intelligence dashboard, trend analysis, and other data visualization tools;
  • Collaborate with regulatory affairs leadership and IT business partners to translate regulatory objectives into an information management and regulatory intelligence strategy;
  • Effectively communicate (verbally, written, published, unpublished, etc.) regulatory intelligence to a broad, diverse, and global audience using traditional, and non-traditional communication tools.


Domestic relocation assistance is offered for this position.


Who you are

Your success will be driven by your demonstration of our LIFE values.  More specifically related to this position, Bayer seeks an incumbent who possesses the following:


Required Qualifications:


  • Bachelor’s degree with ten (10) plus years of relevant experience in a regulated environment;
  • A working understanding of medical product regulation;
  • Superior communication skills, both verbal and written;
  • High customer focus;
  • Demonstrates ability to attract, develop, and retain talent;
  • Effectively lead and manage people across multiple geographic locations;
  • Promotes a culture of teamwork, customer focus, and innovative thinking;
  • Data-oriented personality with strong analytical and strategic mindset;
  • Good in dealing with ambiguity;
  • Basic understanding of machine learning techniques;
  • Embraces change and should possess the ability to effectively work in an international and multicultural environment;
  • Up to 25% domestic and international travel.


Preferred Qualifications:


  • Degree in life sciences, computer sciences, or health-related discipline;
  • An advanced degree (J.D., Pharm.D., M.D. Ph.D.)
  • Experience with common data science tools and data visualization tools.



Your application

Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and you have the "Passion to Innovate" and the "Power to Change", we encourage you to apply now. Job postings will remain open for a minimum of ten business days and are subject to immediate closure thereafter without additional notice. To all recruitment agencies: Bayer does not accept unsolicited third party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans


Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.


Country: United States
Location: NJ-Whippany, CA-Berkeley, Residence Based, DC-Washington

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