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Beghou Consulting

Posted 3 months ago

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Consultant- Patient Analytics (456)

BengaluruRemoteFull-time

AI Summary

Consultant supporting analytics and data projects for pharmaceutical and life sciences firms, executing patient-centric solutions, advanced analytics, and stakeholder management.

About this role

Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices.

Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes.


Propose of job
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

We'll trust you to

  • Project delivery and stakeholder management –
  • You will be 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)
  • You will have to 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.
  • You will have to 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
  • You should establish priorities around project milestones and tasks, flag off potential risks, and come up with mitigation solutions
  • You will have to think analytically and use a structured approach to understand problems, analyze data, and map out appropriate solutions
  • You will have to 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
  • Firm building
  • You should contribute to firm-level initiatives including new capability build, templatizing and standardizing approaches for patient solutions
  • You will have to develop and maintain knowledge repository, build training plans and templates to ensure upskilling of consultants
  • You should drive innovation by staying abreast of emerging trends, technologies, and best practices in data science and the pharmaceutical industry
  • People management
  • You will have to mentor and coach resources on analytical approaches, data sets, and applicable commercial use cases
  • You will have to provide guidance and structure to junior resources in projects and through training programs and on-the-job guidance

    • You'll need to have

  • 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

    • Skills

    AlteryxData ManipulationMachine LearningNeural NetworksNLPPowerBIPythonRSASStatistical AnalysisTableau

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