Data Scientist

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

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 in one of the following areas would be a plus:  

• 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

ESSENTIAL DUTIES AND RESPONSIBILITIES:
Our employees are tasked with delivering excellent business results through the efforts of their teams.  These results are achieved by:

• 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  

EXPECTATIONS OF THE JOB:

• Travel (10%)
• Hours (40 Hours per week, 5 days of the week)
• Remote

Qualifications

MINIMUM KNOWLEDGE, SKILLS AND ABILITIES:

The requirements listed below are representative of the experience, education, knowledge, skill and/or abilities required.

• Education: Minimum of a Bachelor’s degree with 2 years of experience, or Master’s degree. Degree(s) in one of the following majors: Engineering, Computer Science, Mathematics, Bioinformatics, Physics, Quantitative Economics, Statistics
• Experience and/or Training: Proficiency in the following programming and analysis tools:  
  • Visualization tools (PowerBI, Tableau, Looker) 
  • Python (pandas, scikit-learn, Numpy, Scipy, and database access packages) 
  • SQL / Redshift / Snowflake 
  • AWS / Azure / Google Cloud Platform
  • Microsoft Office Applications  
  • Powerpoint: presentation development skills 
• Client interface and presentation skills 
• Works independently and is a self-starter / self-le