Data Analyst

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.

ClearView’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 datateam work closely with the consulting staff and senior leadership to solve complex and unique problems in the life sciences. The data analystswill 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 strategicquestions 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.

• Aidinteam 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 yearsworking on insurance claims and EHR databases – IQVIA (LAAD), Komodo (Sentinel), Forian, Compile and others.  

• Experience with large data manipulation in SAS or SQL interfaces.

• Experience 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.

• Independent, creative, and driven quantitative thinker.
• Role is based out of our Gurgaon, India office.