Eversana

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 Analytics 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.

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

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

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)
• SCALA / DevOps
• 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-learner
• Linux (Red Hat, Ubuntu); Python and software development in a Linux environment

Consideration will be given to prior publications, independent software projects completed, and non-proprietary code authored by the candidate.