Real World Evidence Scientist - Analyst (Remote)

Real World Evidence Scientist - Analyst (Remote)
Fairfield, CT

Contact: Neisha Camacho/Terra Parsons

Responsibilities:

Conceptualize the scope of projects and work with the team from project initiation through completion of client deliverables

Work with project teams to identify data needs, sources, and structure to support client issues problem solving

Understand the strengths and limitations of Real-World Data (RWD) sources

Generate Evidence and Analyze large and complex healthcare data (Claims, EMR, and Registry Data) using R, SQL, Python

Participate in the production and presentation of deliverables

Develop creative solutions for complex problems

Key Requirements:

Bachelors degree in a technical or quantitative field from an accredited college or university (e.g., statistics/ biostatistics, epidemiology, bioinformatics, health economics, mathematics, outcomes research, public health, biology, medicine); Masters, MPH or PhD degree preferred

3+ years pharmaceutical work experience (less with PhD)

Must have worked with claims as well as Electronic Medical Records

Strong coding experience within R/SQL/Python and statistical methods is a must

Experience developing and implementing statistical analysis plans utilizing RWD or clinical trials

Demonstrated thorough aptitude for conducting quantitative and qualitative analyses

Willingness to provide superior customer service through first-rate work product

Ability to work independently and collaboratively

Strong communication skills with the ability to explain technical data analysis results to business people, as well as communicate quantitative challenges and issues to technical people

Knowledge Preferred:

Significant experience working with analytical models and visualization techniques and tools

Advanced analytics techniques (regression, simulation, etc.)

Knowledge of claims processing systems

Identifying and addressing client needs, building relationships with clients, developing requests for proposals

Creative and innovative problem solving skills

Ability to work under tight deadlines in a highly dynamic environment.

Experience developing scientific communications (Abstracts, Posters, Reports)