Senior Consultant- Patient Analytics (456)

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