Data Analyst

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 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.

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)
• 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.

PREFERRED QUALIFICATIONS:

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