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.

Responsibilities:

Project Management:

• Analyzing different pharmaceutical / life sciences data sets like claims data, electronic
  medical records, anonymous patient level data, prescription data & sales data, promotional
  data.
• Communicating results to clients and onshore team members
• Developing client relationships and serving 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

Project Execution/Key work streams:

• Analyzing the AI/ML algorithms that could be used to solve a given problem and ranking
  them by their success probability
• Applying statistical techniques such as linear regression, logistic regression, analysis of
  variance, cluster analysis, time series, principal components, factor analysis, ARIMA to
  solve business problems
• 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 pre-processing or feature engineering to be done on a given dataset
• Defining data augmentation pipelines
• Training models and tuning their hyperparameters
• Analysing 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 analysing both qualitative and quantitative data points; hypothesis building
  with Strong excel and PPT skills
• Process automation using SQL/Python/Other available technologies/ETL Tools

Qualifications:

• Graduate or Postgraduate in mathematics or statistics/ Biostatistics.
• Advance degree in Statistics/Biostatistics/Applied Mathematics or similar quantitative field.
• Bachelor’s or Master’s in Engineering
• Minimum 4 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

Other competencies:

• Entrepreneurial orientation.
• Excellent interpersonal and communication skills (written and verbal).
• Innovative and collaborative behavior, team player.
• Customer centricity and paying attention to details.