Cluster Manager Job in Pharmaace Analytics Pvt. Ltd.

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.