Associate Consultant

Brief Introduction:
If you are keen to work on analytical problem solving, then work in the area of advance data analytics/sciences to provide consulting to pharmaceutical clients.

Associate Consultant:
As an Associate Consultant, you are expected to the manage onshore / client communication and mentor a team of analysts.
Advance data analytics/sciences Associate consultants/Consultants design and implements analyses on patient level data or similar datasets.

Responsibilities:

• Analyze different pharmaceutical / life sciences data sets like claims data, electronic medical records, anonymous patient level data, prescription data & sales data, promotional data.
• Communicate results to clients and onshore team members.
• Develop client relationships and serve as an offshore key point of contact for the project.
• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.
• Analyzing the AI/ML algorithms that could be used to solve a given problem and ranking them by their success probability.
• Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
• Verifying data quality, and/or ensuring it via data cleaning
• Supervising the data acquisition process if more data is needed.
• Defining validation strategies
• Defining the preprocessing or feature engineering to be done on a given dataset
• Defining data augmentation pipelines
• Training models and tuning their hyperparameters
• Analyzing the errors of the model and designing strategies to overcome them.
• Knowledge on Deep learning techniques is added advantage.
• Deploying models to production
• Interpreting and analyzing both qualitative and quantitative data points; hypothesis building with Strong excel and PPT skills.
• Process automation using SQL/Python/Other available technologies/ETL Tools etc

Qualifications:

• Bachelor’s or master’s in engineering
• 1 – 3 years of pharma / life science consulting job experience
• High motivation, good work ethic, maturity and personal initiative
• Strong oral and written communication skills
• Strong excel and PowerPoint skills.
• Adherence to client specific data privacy and compliance policies
• Knowledge on various commonly used transactional data assets and others including Volumes/ Value, Rx, Specialty level, Longitudinal Patient level data assets.