Data Science Research Assistant Remote Jobs in Raleigh, NC

RTI International is an independent, scientific research institute dedicated to improving the human condition. Our vision is to address the world's most critical problems with technical and science-based solutions in pursuit of a better future. Clients rely on us to answer questions that demand an objective and multidisciplinary approach—one that integrates expertise across social, statistical, data, and laboratory sciences, engineering, and other technical disciplines to solve the world’s most challenging problems.
We believe in the promise of science and technical solutions, and we push ourselves every day to deliver on that promise for the good of people, communities, and businesses in the US and around the world. If you are looking for the opportunity to make a real difference, RTI is the place for you.

RTI International’s Health Care Systems Research Department has multiple openings forBachelor's-level Health Economiststo assist withimplementation, analysis, evaluation, and synthesis of innovative health and social policies, programs, and research initiatives. 

In this position, you will function as an integral part of a team supporting research and analytic activities. The role includes opportunities to apply quantitative skills and collaborate with senior research staff, while developing an in-depth understanding of critical health policy and research issues, and advanced methods. Many opportunities for mentorship and professional development in a variety of health-systems-related topic areas are available. 

This position may be based in RTI’s U.S. office in Research Triangle Park, NC, or may be considered for fully remote work from an approved location within the United States. Teleworking is permitted within the United States only and is subject to RTI approval; not all U.S. locations may be eligible.

We strongly encourage applicants to include a cover letter with their application describing their interest in the role and related experience.  

• Assist with quantitative research activities including data abstraction, data analysis, data cleaning, file building, statistical modeling, measure calculation, payment calculation, writing detailed technical specifications and documentation, creating tables and figures, and/or writing analytic reports. 
• Analyze large health-related datasets (e.g., Medicare enrollment, claims and encounter data, prescription drug data). 
• Assist in developing and implementing processes to assure quality and accuracy of data analyses. 
• Review and proof own work for accuracy and completeness. 
• Assist with project management responsibilities including scheduling, preparing meeting agendas, and recording meeting minutes. 
• Conduct literature reviews, environmental scans, and synthesize findings. 
• Contribute to and/or prepare portions of technical memoranda, reports, and presentations. 

Minimum Qualifications: 

• Bachelor's Degree in a quantitative field including Economics, Applied Mathematics/Statistics, Data Science, Computer Science, Health Services Research, Actuarial Science, Operations Research, Finance, Pharmaceutical Economics, or a closely related quantitative field. 
• Experience with statistical programming packages (e.g. Python, R, SAS, SQL, or STATA). 
• Interest in health services and/or health economics research. 
• Ability to manage multiple tasks simultaneously and work in a team environment. 
• Excellent attention to detail, ability to do accurate and error-free work with complex datasets and detailed federal program policies. 
• Excellent oral and written communication skills. 
• Proficiency in Microsoft Word and Excel. 
• To qualify, applicants must be legally authorized to work in the United States and should not require, now or in the future, sponsorship for employment visa status(e.g., H-1B visa status, etc.). 
  

Preferred Qualifications: 

• Knowledge of domestic United States federal and state health care programs, markets, policies, and data (e.g., Medicare, prescription drug market, medical claims data). 
• Relevant work experience. 
• Demonstrated quantitative skills as evidenced in a research project, paper, or other work.  

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.

Minimum Qualifications: 

• Bachelor's Degree in a quantitative field including Economics, Applied Mathematics/Statistics, Data Science, Computer Science, Health Services Research, Actuarial Science, Operations Research, Finance, Pharmaceutical Economics, or a closely related quantitative field. 
• Experience with statistical programming packages (e.g. Python, R, SAS, SQL, or STATA). 
• Interest in health services and/or health economics research. 
• Ability to manage multiple tasks simultaneously and work in a team environment. 
• Excellent attention to detail, ability to do accurate and error-free work with complex datasets and detailed federal program policies. 
• Excellent oral and written communication skills. 
• Proficiency in Microsoft Word and Excel. 
• To qualify, applicants must be legally authorized to work in the United States and should not require, now or in the future, sponsorship for employment visa status(e.g., H-1B visa status, etc.). 
  

Preferred Qualifications: 

• Knowledge of domestic United States federal and state health care programs, markets, policies, and data (e.g., Medicare, prescription drug market, medical claims data). 
• Relevant work experience. 
• Demonstrated quantitative skills as evidenced in a research project, paper, or other work.