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Company Overview   ClearView Healthcare Partners is a premier life sciences strategy consulting firm headquartered in Boston, with offices in San Francisco, New York City, London, Zurich and Gurgaon. Serving clients in the biopharmaceutical, medical device, and diagnostic spaces, we provide world-class strategic decision-making support across a diverse range of business issues. Our goal is to inform actionable recommendations that allow companies to achieve their business objectives. ClearView Healthcare Partners is a premier life sciences strategy consulting firm headquartered in Boston, with offices in San Francisco, New York City, London and Gurgaon. Serving clients in the biopharmaceutical, medical device, and diagnostic spaces, we provide world-class strategic decision-making support across a diverse range of business issues. Our goal is to inform actionable recommendations that allow companies to achieve their business objectives.   C learView’s  Data & Analytics practice is looking for motivated individuals to join our team as  Data  Analysts to accelerate the continued growth of our capabilities. Members of the data   team work closely with the consulting staff and senior leadership to solve complex and unique problems in  the life  sciences. The data  analysts   will  leverage  common tools (i.e., SAS, SQL, R, and Python), large data sets, and creativity to build models and processes to support  ClearView’s  clients. Responsibilities :   As a  Data  Analyst, you will interact with internal and external teams to address critical strategic   questions within the biopharmaceutical space.  During the course of  a typical project, you will:   Collect, clean, mine, and analyze data.   Serve as a knowledge resource for the consulting staff  regarding  statistics, machine learning, and life sciences data.   Design and create advanced models to drive  analytically driven  strategy projects.   Innovate project approaches and  identify  new life sciences problems to solve with analytics.   Aid   in   team building by making code scalable through templates, macros, or interfaces.   Clearly communicate analytical techniques and findings from analyses in a non-technical manner.   Work in a high-performance, strongly collegial, and collaborative environment.   Requirements   The successful candidate for the  Data  Analyst role must have the following skills and experience:   Bachelor’s degree or above in Statistics, Mathematics, Machine Learning, Physics, or  a related  field.   Relevant experience of 1-3 years   working on insurance claims and EHR databases – IQVIA  ( LAAD ) , Komodo  ( Sentinel ) ,  Forian , Compile and othe rs .     Experience with large data manipulation in SAS or SQL interfaces.   E xperience with life science APIs & public datasets (e.g., PubMed,  OpenTrials , CMS, CDC, etc.) .   Experience in at least one of the following areas :   Excel modeling (using a spreadsheet to make quantitative predictions based on a series of underlying assumptions).   Common machine learning models (e.g., neural networks, support vector machines, decision trees).   Advanced regression models (e.g., Bayesian, hierarchical, non-linear) .   Unsupervised learning.   Advanced time series.   Detail-oriented with the ability to dive deep into business processes, data, and analytics.   In