Senior Healthcare Research & Data Analyst
R131-Bengaluru
Clarivate
Clarivate is a global leader in providing trusted insights and analytics. Our vision is to improve the way the world creates, protects, and advances innovation.Clarivate Analytics is looking for a curious, creative, team worker and detail-oriented individual for the role of a Lead. Analyst. In this role, you will work with a team of data scientists to mine and make sense of three large, distinct datasets that focus on three different aspects of the US healthcare market: hospital purchasing, hospital claims and EHR (electronic health records). If you’re interested in working directly with major MedTech competitors and enjoy working with complex and Real-world datasets, this is a great opportunity.
About You – experience, education, skills, and accomplishments
Atleast 5 years of experience working on SQL, Python
Expertise working on Healthcare or Lifesciences domain projects such as KPI reporting, sales analytics, marketing analytics, patient analytics, payer analytics, brand management and provider analytics
Expertise working on Real World Datasets and Real-World Evidence
Expertise in understanding data variables and connecting the dots in various datasets
Expertise in handling and manipulating large data sets
Expertise in statistical modelling (forecasting, clustering, market mix modelling, etc.) and analysing outputs generated from different methodologies
Knowledge or experience in working with medical device transactional data would be an asset
Strong statistical knowledge with master’s degree in economics or statistics
Expertise in any one (or more) of the data processing tools/languages such as – R/Python/SAS/SQL
Knowledge of data visualization tools such as Tableau is a plus
It would be great if you also had . . .
Understanding of Market Access and Payer landscape in the US
Exposure to medical device market – understanding transactional level data
Experience managing projects focused on patients using Patient level data (APLD)
Experience working with data from IMS including formulary, SHA or any other data vendor
What will you be doing in this role?
Effectively build, mine, and manage multiple datasets, which will be required for market modelling and analysis
Effectively manage incoming data, process and analyzing the data
Evaluate data outputs for market trends and draw insights; correct any potential errors and issues
Manage and coordinate with a team of SMEs to ensure the data mapping
Research and understand novel device markets, including major competitors, uses, and product segmentation
Manage and handle custom requests from key Clarivate clients in the medical device space
Present key findings to internal and external stakeholders
Should have experience in handling team
Hours of Work
45 hours in a week, working days Monday to Friday, working hours 12PM to 9PM IST, Hybrid working mode.
At Clarivate, we are committed to providing equal employment opportunities for all persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Clustering Data visualization Economics Python R Research SAS SQL Statistics Tableau
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