Data Scientist in Wayne

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Job DescriptionJob DescriptionJob DetailsDescription
EVERSANA applies AI/machine learning techniques to the breadth of healthcare and non-healthcare data integrated with our deep clinical expertise to provide a unique and unmatched suite of services and products to the pharmaceutical and healthcare industries.We are seeking highly motivated individuals who are passionate about AI/machine learning and its application across disparate data resources to help our healthcare clients gain insights not previously possible and to connect patients to therapies sooner and positively impact their lives.EVERSANA is seeking a Data Science professional to design, implement and deploy advanced machine learning / artificial intelligence algorithms across multiple domains including, but not limited to, healthcare, media, programmable ads, retail, and manufacturing. These analysis tasks will involve developing original code and leveraging EVERSANA’s existing healthcare analytics platform to provide analytic solutions in support of EVERSANA’s internal and external clients. This professional will be a member of EVERSANA Data & Analytics Data Science team.
Experience

• Population Health 
• Health Economics 
• Epidemiology 
• Development of machine learning solutions in healthcare 
• Experience with production-level machine learning platforms 
• Genomics data processing / bioinformatics  
• Social media analysis/NLP 
• Programmatic Ads / Algorithms  
• Omnichannel experience

Duties

• Apply data mining and machine learning techniques and models to extract analytic insights from healthcare and non-healthcare data sets  
• Develop visualizations for delivery to clients  
• Develop software solutions using Python, and/or R  
• Interface with other EVERSANA analysts and program managers and with Eversana customers  
• Contribute to EVERSANA's machine learning platform  
• Degree in any of the following majors: Engineering, Computer Science, Mathematics, Bioinformatics, Physics, Quantitative Economics, Statistics  

Qualifications

•  Big data technologies (e.g. Spark, Snowflake) 
• Scientific computing experience 
• Graph database / graph machine learning

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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