Assistant R Statistical Programmer Jobs in Cary, NC

RTI Health Solutions (RTI-HS), a wholly owned subsidiary of RTI International, is an independent and internationally recognized research organization. We provide healthcare consulting and research expertise to optimize decision-making for pharmaceutical, biotechnology, and medical device products across the development and marketing life cycle. Clients rely on our expertise, quality standards, and integrity to guide their product development and regulatory and market access strategies. Our service groupings include Value, Access, and HEOR; Patient-Centered and Outcomes Research; Epidemiology and Biostatistics; Medical Communications; Global Business Operations; and Strategic Consulting and Growth. RTI-HS has office locations in the US, UK, Spain, France, and Sweden.

• Bachelor's degree with 5+ years, Master's degree with 3+ years, or PhD with relevant experience in Statistics, Biostatistics, Mathematics, Data Science, or a related quantitative discipline.
• Demonstrated experience independently designing and executing statistical analyses in healthcare research, clinical research, HEOR, epidemiology, or related consulting environments.
• Advanced programming proficiency in R is required; experience with STATA, SAS, or Bayesian software is preferred.
• Experience contributing to client-facing scientific deliverables and multidisciplinary project teams.
• Demonstrated ability to interpret scientific literature and communicate complex statistical concepts to both technical and non-technical audiences.

For San Francisco, CA USA Job Postings Only: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Further information is available here.

RTI accepts applications to our job openings from candidates with criminal histories or conviction records in accordance with all applicable laws, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

For Applicants in Massachusetts Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

The anticipated pay range for this role is listed below. Our pay ranges represent national averages and may vary by location as a geographic differential may be applied to some locations within the United States. RTI considers multiple factors when making an offer including, for example: established salary range, internal budget, business needs, and education and years of work experience possessed by the applicant. Further, salary is merely one element to our offer.

At RTI, we demonstrate our commitment to rewarding individual and team achievement through a total rewards package. This package includes (among other things) a competitive base salary, a generous paid time off policy, merit based annual increases, bonus opportunities and a robust recognition program. Other benefits include a competitive range of insurance plans (including health, dental, life, and short-term and long-term disability), access to a retirement savings program such as a 401(k) plan, paid parental leave for all parents, financial assistance with adoption expenses or infertility treatments, financial reimbursement for education and developmental opportunities, an employee assistance program, and numerous other offerings to support a healthy work-life balance.

• Bachelor's degree with 5+ years, Master's degree with 3+ years, or PhD with relevant experience in Statistics, Biostatistics, Mathematics, Data Science, or a related quantitative discipline.
• Demonstrated experience independently designing and executing statistical analyses in healthcare research, clinical research, HEOR, epidemiology, or related consulting environments.
• Advanced programming proficiency in R is required; experience with STATA, SAS, or Bayesian software is preferred.
• Experience contributing to client-facing scientific deliverables and multidisciplinary project teams.
• Demonstrated ability to interpret scientific literature and communicate complex statistical concepts to both technical and non-technical audiences.