Eversana Data Science Internship

Company Description

At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. How? Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us!

Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs.  We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve.   We are EVERSANA.  

Job Description

  1. Learn to develop and apply data mining and machine learning techniques and models to extract analytic insights from healthcare and non-healthcare data sets  
  2. Support the review, generation, and delivery of analytic products in support of project work, RFP responses and other business needs
  3. Assist in the development of visualizations and presentations for client deliverables
  4. Develop software solutions and applications using Python, SQL, and/or R
  5. Interface with EVERSANA analysts, data scientists, clinicians and program managers and with EVERSANA customers.

Qualifications

  1. Education - BS/MS/PhD degree in Engineering, Computer Science, Mathematics, Bioinformatics, Physics
  2. Practical knowledge of statistics, statistical inference, and machine learning algorithms
  3. Works independently and is a self-starter
  4. MS PowerPoint presentation development skills
  5. Client interface and presentation skills

Knowledge of one or more of the following programming and analysis tools:

  • Python (pandas, scikit-learn, Numpy, Scipy, and database access packages)
  • SQL / (MySQL)
  • AWS (Redshift)
  • Microsoft Excel
  • R programming language
  • Visualization tools
  • Linux (Red Hat, CentOS); Python and software development in a Linux environment

Interested in applying?

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