About The Position

As Consultant you will be supporting the solutioning and execution of various analytics and data projects for the commercial efforts of pharmaceutical and life science firms. Your role will be focused on executing patient solutions, from executing standard patient analytics projects to developing new solutions utilizing new data sets and solving for specific disease centric commercial problems. You will have to function as an expert in patient centric solutions, with holistic understanding patient level data sets and various analytical and insight driven solutions.

Requirements

  • At least 4 years of relevant experience delivering data and analytics engagements in the Pharmaceutical/Healthcare industry
  • Data science and/or patient analytics experience of 2+ years is preferable.
  • Experience in advanced analytics techniques for predictive analysis
  • Proficiency in machine learning, statistical analysis, and data manipulation using Python, R, or similar state-of-the-art tools
  • Strong expertise in using analytics and visualization tools (e.g., Python, R, Alteryx, SAS, Tableau, PowerBI)
  • Excellent communication skills and ability to deal with unstructured real-world problems
  • Strong passion for understanding and devising solutions for the current issue areas in the pharma industry
  • Demonstrated ability to coach and mentor the junior team members
  • Ability to operate effectively in an international matrix environment and work with US clients

Responsibilities

  • Independently executing patient solution projects with global teams
  • Understand project and engagement needs, translate solutions briefs to specific tasks and activities, devise analytical approaches, and manage stakeholder communication (internal and external)
  • Design and execute advanced analytics solutions to address specific patient-centric business needs - apply advanced analytics techniques (e.g., descriptive/inferential statistics, machine learning, NLP, and Neural Networks) on data sets to identify key actionable insights.
  • Work closely with project leads, engagement manager globally as well as associates in the team to conduct high-quality analysis and develop well-structured and impact-driven deliverables
  • Establish priorities around project milestones and tasks, flag off potential risks, and come up with mitigation solutions
  • Think analytically and use a structured approach to understand problems, analyze data, and map out appropriate solutions
  • Solution complex business problems around patient solutions, be able to work with structured and unstructured data sets, and devise new ways of analyzing and creating insights
  • Contribute to firm-level initiatives including new capability build, templatizing and standardizing approaches for patient solutions
  • Develop and maintain knowledge repository, build training plans and templates to ensure upskilling of consultants
  • Drive innovation by staying abreast of emerging trends, technologies, and best practices in data science and the pharmaceutical industry
  • Mentor and coach resources on analytical approaches, data sets, and applicable commercial use cases
  • Provide guidance and structure to junior resources in projects and through training programs and on-the-job guidance
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