Senior Consultant- Patient Analytics (456)

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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