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.

Deputy Director Machine Learning and Artificial Intelligence

Your tasks and responsibilities


The primary responsibilities of this role, Deputy Director Machine Learning and Artificial Intelligence, are to: 


  • Own ML & AI analytics COE for US Commercial Pharmaceuticals:
    • Drive development of analytical methodologies, from hypothesis development to insight generation;
    • Own ML & AI process;
    • Drive development of major deliverables and pilots & experiments;
    • Uncover business trends and opportunities that can be realized by the BUs e.g. triggers;
    • Support DSA team with ad hoc analytics;
    • Directing third parties retained to support analytics, research, and  consulting efforts, such as onshore and offshore resources
    • Partner with key stakeholders;
    • Partner with Business Insights and BU / Market Access to help define business questions and translate them into business requirements;
    • Provide direction to technical resources and vendors to support translate business requirements into design, data and technical specifications and generate insights;
  • Develop recommendations and provide consulting to Market Access,  Marketing and Sales (limited extent) based on insights driven by related analytics;
  • Develop competencies and talents;
  • Identify opportunities for developing colleague skills and competencies and recommend training opportunities;
  • Ensure continuous improvement of department competencies around ML & AI Analytics;
  • Be an expert in ML & AI.


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:


  • Master's degree, with major in Data Science, Statistics or related, preferably Ph.D;
  • Strong experience and knowledge of U.S. specialty pharma commercial data, across multiple segments and brands pertaining to Bayer's business, including but not limited to IMS, SourceRx, laptop/ iPad detailing, specialty pharmacy data, formulary data;
  • Strong display of strategic thinking and planning experience, as expressed through leadership in respective projects and presentations;
  • Knowledge of therapeutic areas relevant to Bayer's U.S. business;
  • Client focus and responsiveness;
  • Record of professional success, demonstrated through above-average performance reviews, promotions, and relevant "extracurricular" activities/ engagements;
  • Strong verbal and written communication skills, as demonstrable in oral management presentations, succinct PowerPoint stories and layout, as well as structured syntheses and recommendations;
  • Effective project management skills, as demonstrated by on-time, on budget project delivery;
  • Demonstrated leadership skills, including team leadership, thought leadership, and leadership awareness;
  • 6+ years of overall full-time work experience, of which 5+ years of relevant experience in healthcare commercial data &  analytics AND the most recent 3+ years full-time employed in U.S Healthcare.

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