Manager, Data Science & Machine Learning

Princeton, NJ

Location: Princeton, NJ

Overview

The Manager, Data Science & Machine Learning will be a subject matter expert who will help shape the firm’s perspectives and capabilities in the Data Science and Artificial Intelligence (AI) Machine Learning space.  The right individual in this role will structure and execute cutting-edge analytical and machine learning techniques on large, complex, structured and unstructured biopharma data sets (including big/patient-claims data) to address clients’ commercial questions and help them make fact-based strategic decisions. This individual will provide thought leadership, develop new AI machine learning offerings and technology solutions, drive business impact by delivering offerings and solutions to clients, and coach and develop data scientists.  Candidates will be experienced in the application of sophisticated analytics and AI machine learning techniques to address sales, marketing, payer, and provider questions using real-world data sources such as anonymized longitudinal patient claims data, EHR, lab and diagnosis data, etc. Success in this position requires demonstrated thought leadership, and demonstrated success in business development, client engagement, organizational and people development, managing multiple projects simultaneously, structuring innovative machine learning solutions, and driving business impact for clients.

Responsibilities

Solutions Leader

  • Serve as a subject matter expert, adept at addressing pressing commercial questions through the application of AI machine learning techniques to biopharma data, including big/patient claims data and unstructured data in order to generate actionable business insights
  • Play a key role in defining and developing data science and AI machine learning capabilities and offerings that create scale and advance firm’s capabilities
  • Work closely with Partners and client teams to uncover and understand client’s pressing commercial questions and issues, recommend appropriate AI machine learning analytics and technology solutions to innovatively address the challenges, and provide expertise in architecting and implementing solutions for clients
  • Lead and own successful delivery of AI machine learning engagements that deliver high-impact results for clients
  • Direct multiple AI machine learning projects simultaneously,
  • Motivate, coach, and serve as a role model for analysts in project team

Business Development

  • Build case studies and white papers that demonstrate the use cases for our AI machine learning capabilities and the value-proposition of our solutions to clients and prospects
  • Support Partners with pre-sales activities and help convert prospects to new clients
  • Support Partners in developing custom AI machine learning solutions to grow existing clients
  • Support Partners in drafting proposals with solutions, staffing plans, and pricing
  • Support Partners in responding to specific RFP questions; help create competitive differentiation through the innovative application of AI ML techniques to address business problems across Practice Areas like Multi-Channel Marketing, Digital, Patient Services, Brand Planning, Incentive Compensation, Sales Force Sizing, Data Management and Forecasting

Qualifications

  • Master’s degree in Statistics, Math, Advanced Analytics, Computer Science, Engineering or related discipline; PhD degree preferred
  • 10+ years of relevant post-collegiate work; 8+ years of work experience with PhD degree
  • 5+ years of experience implementing big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, feature engineering, predictive modeling, etc.) to address biopharma commercial questions
  • Expertise in AI Machine Learning techniques, and a strong understanding of biopharma and healthcare data sets, including big- (patient claims) data
  • Hand-on experience coding in Python/R/SAS
  • Deep knowledge of analytic tools such as R, Python, SAS, SPSS, SQL, and Tableau
  • Hands-on experience building AI Machine Learning models to address a range of commercial questions using H2O, SageMaker, MLFlow or comparable DS framework in the AWS/Azure Cloud
  • Previous experience or familiarity with Hadoop and database systems
  • Track record of business development (pre-sell, upsell) success
  • Agile project planning and project management experience
  • Team management and skill development experience
  • Excellent oral and written communication skills; comfort presenting complex ideas in simple terms to clients and prospects
  • Strong attention to detail, with a business-focused mindset
  • Excellent critical thinking and problem solving skills
  • Prior authorship of industry or academic publications
  • Analytics software solution development experience, preferred