If you are keen to work on analytical problem solving with a consultative approach, we have multiple openings in the commercial analytics space and assisting some of the major pharma companies in making strategic decisions.
Designation name & Description:
As a Consultant/Senior Consultant, you are expected to lead and manage projects and clients onshore.
Commercial analytics Consultant/Senior Consultant is responsible for methodology design and help run analysis using a data centric approach. Day to day role involves leveraging some of the patient level data/claims data and generate insights as an active feed to decision making.
Responsibilities:
Collaborating with the team on understanding the business questions based on the indication nuisances in detail
Analyze different pharmaceutical / life sciences data sets like claims data, electronic medical records, anonymous patient level data, prescription data & sales data, promotional data.
Communicate and present the outcomes to clients and extended stakeholders
Develop client relationships and serve as an onshore key point of contact for the project process automation using SQL/Python/Other available technologies/ETL Tools etc
Qualification and pre-requisites:
Undergraduate with Life Sciences background or Engineering
Pharm D/BS/MS Lifesciences, Pharma
4 and above years of pharma / life science consulting job experience
Highly motivated, good work ethic, maturity and personal initiative
Strong verbal and written communication skills
Up to 2 years of relevant post-collegiate job experience
Strong excel and PowerPoint skills
A descent background/ working knowledge around oncology therapy area is an advantage and is preferred
Adherence to client specific data privacy and compliance policies
Strong analytical background. Previous background or knowledge on pharmaceutical industry; experiences on pharmaceutical brands to be advantageous-
Ability to interpret and analyze both qualitative and quantitative data points, hypothesis. building with Strong excel, PPT and MS skills.
Conduct independent desktop-based research for a particular disease therapy from various secondary sources (Researching assumptions on prevalent/treated population patient types, market segmentation, compliance etc.)
Knowledge on various commonly used transactional data assets and others including Volumes/ Value, Rx, Specialty level, Longitudinal Patient level data assets.
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