Overview
Skills
Job Details
- Bachelor's degree Experience in health research analytics (HEOR, commercial analyses, and Outcome based analyses)
- Knowledge of coding against common real-world data types (claims and EMR) and common data models.
- Excellent R, Python, or SAS skills. Preferred R-Shinny skills.
- SQL programming skill with experience on large databases (i.e., millions of records)
- Must possess excellent verbal and written communication skills, attention to details, and the ability to multi-task.
- Excellent organizational, planning and project management skills and ability to effectively manage cross-functional projects.
- Ability to work independently in a dynamic fast paced environment, with minimal supervision.
- Preferred Masters/PhD Degree in informatics, epidemiology, or clinical discipline. An economics or applied statistics degree is acceptable if the candidate has demonstrated experience with quantitative methods in life science.
- 3+ years related experience with 2+ years in healthcare industry, preferably in an epidemiology/ economics/ market access research group working with Real World Data (insurance claims, EMR/ EHR)
- Ability to translate business questions into data analysis plan.
- Must be able to efficiently educate business partners on best use cases for RWD.
- Ability to translate business / functional needs into RWDE analytics projects.
- At least 1-year relevant programming experience. Preferable knowledge of at least one other statistical package (e.g., R, Python)
- Team player with good communication skills.
location: Northbrook, Illinois
job type: Contract
salary: $65 - 75 per hour
work hours: 8am to 4pm
education: Bachelors
responsibilities:
- Execute on multiple concomitant projects, including but not limited to, evidence generation using real world data, time series sales forecasting, cost estimation for trials or other related areas.
- Meets regularly with internal and external stakeholders to ensure mutual understanding of the project design, required output and timelines.
- Responsible for the statistical contribution to internal studies to support Bold X objectives.
- Develop and maintain R, Python, SAS/SQL programs for the creation of tables, figures, and deliverables for each project. Desired ability to program in R Shiny to enhance and maintain current tools available.
- Must be able to meet timelines with minimal supervision of progress. Develops programming expertise in advanced statistical.
- Develop data mining and/or data modeling plans to support BoldX projects and programs.
- Stays current on data sources and participates in supporting of PDS Strategy Team by facilitating Maintenance of custom database, correspondence with vendors, set-up of PDS vendor meetings.
- Provides ideas and support for further enhancements to tools, and resources currently developed or plan to be developed to drive innovation.
- Collaborates with Procurement, Data Science, Clinical Trials, MIPI, and the Innovation team to acquire new data and run custom analytics.
- Provide expertise in building in-house tools to enable rapid, high-quality execution for key routine analytics.
qualifications:
- Experience level: Experienced
- Education: Bachelors (required)
skills:
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).
Applications accepted on ongoing basis until filled.