Job Details
Brief introduction:
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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