RTI International

Support research and analytic activities related to evidence synthesis projects including literature searching, data extraction, and project coordination. | Bachelor's degree in relevant field, experience with literature reviews, data analysis, citation management software, and strong communication and teamwork skills. | Why RTI 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. About The Hiring Group RTI’s Center for Health Economics, Methods, and Evidence Synthesis has an opening for a Bachelor's-level Research Analyst. The position has a broad focus with a particular emphasis on coordinating and assisting on evidence synthesis projects including systematic reviews, scoping reviews, health technology assessments, and other types of evidence identification, appraisal, and synthesis tasks. You will function as an integral part of a team supporting research and analytic activities and project coordination. The role includes opportunities to collaborate with senior research staff while developing an in-depth understanding of critical health services research and epidemiologic methods. This position may be based at RTI’s headquarters in Research Triangle Park, North Carolina, or remotely within the United States. Remote work is subject to RTI approval and may not be available in all U.S. locations. What You'll Do Responsibilities will vary but may include any of the following: - Contribute to the use of rigorous methods for conducting systematic reviews, consistent with current standards for literature searching, screening, data extraction, and qualitative and quantitative synthesis. - Contribute to other evidence synthesis products and tasks including scoping reviews, environmental scans, etc. - Conduct literature searches and manage references within citation management software such as ENDNOTE. - Coordinate and conduct research portfolio analysis including the management and coding of large databases of research. - Development of code books to categorize and characterize research information. - Explore and develop automation processes for the management and extraction of metadata, citations, scientific data and information from publications and policy documents. - Coordinate health research project activities including scheduling team meetings, taking meeting notes on client meetings, developing action items, and assisting in the set-up and monitoring of new projects within RTI’s systems. - Manage quality control processes for projects/tasks to ensure delivery of high-quality work products. - Support the development of research products (i.e., reports, journal manuscripts, presentations, guidance documents, memos) in collaboration with the client and RTI project team. - Prepare tables, figures, dashboards, and visualizations to communicate research findings effectively. - Contribute to the development and refinement of research protocols, analytic plans, and methodological documentation. - Participate in project status updates and progress reporting. - Conduct independent quality checks of literature searches, screening decisions, data extraction, coding, and report content. - Identify opportunities to improve workflow efficiency and consistency across projects. - Support knowledge management and organization of project resources, templates, and documentation. - Collaborate effectively within multidisciplinary teams of researchers, analysts, clinicians, and policy experts. - Demonstrate professionalism, collegiality, and respect in all interactions, fostering positive working relationships with colleagues, clients, collaborators, and stakeholders. What You'll Need Minimum Qualifications: - Bachelor's Degree in a relevant discipline (e.g., health economics, quantitative research, information/library science, health policy, epidemiology, biostatistics, data science, or a related health sciences field). - Experience conducting or supporting literature reviews such as literature searches, reviewing research publications, or summarizing scientific or technical information. - Experience organizing, tracking, or managing research data, publications, references, or other project information. - Experience with data analysis, including quantitative methods and approaches. - Bachelor's degree-level analytical reasoning and problem-solving skills that demonstrate the ability to learn quickly (e.g., some experience conducting literature reviews and/or conducting data analysis, and/or computer programming expertise). - Experience with applying and evaluating AI-assisted tools for literature searching, screening, data extraction, evidence mapping, and other research workflow activities, while ensuring appropriate quality assurance and methodological rigor. - Familiarity with health research, health policy, clinical research, or health services research. - Excellent proficiency in using Microsoft Word, Excel, and Power Point. - Familiarity with review management software (ENDNOTE, Zotero, Covidence, DistillerSR, EPPI-Reviewer, etc.). - Ability to manage multiple projects and meet deadlines in a collaborative environment. - Excellent attention to detail and ability to manage multiple tasks simultaneously. - Ability to work collaboratively in a team environment with staff in different geographic locations and with a range of education and experience levels. - Excellent oral and written communication skills and attention to detail. - Demonstrated commitment to earned and owed respect through professional conduct, active listening, openness to diverse perspectives, and constructive engagement with colleagues, clients, and stakeholders. - 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: - Citation management experience (e.g., prior experience using ENDNOTE or another bibliographic database). - Experience using quantitative analysis software (e.g., SAS, SPSS, STATA, R, etc.) - Experience with prescription drug research, pharmacokinetics, or pharmacology. EEO & Pay Equity Statements 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. Equal Pay Act Minimum/Range $61,000 - $76,000

Design and deploy AI-powered cloud-native applications integrated with research infrastructure. | Bachelor's degree with 5+ years experience in cloud-native development and 2+ years Python/JS programming, plus AI/LLM deployment experience. | Why RTI 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. About the Hiring Group You are: A Software Engineer with experience building cloud-native applications and applying AI technologies to practical business, research or client needs. You have contributed to systems beyond the proof-of-concept stage and understand the engineering work required to make AI-enabled applications reliable, secure and maintainable. You are comfortable working through ambiguity, explaining technical trade-offs and collaborating with researchers, data scientists and software engineers. You can distinguish between a compelling demonstration and a solution that is ready to support real users. You have personally contributed to building and deploying AI-enabled applications, not just experimenting with models or using AI tools as an end user. You can clearly explain the systems you worked on, your individual contribution, the technical decisions you made, and how you evaluated whether the solution worked. What You'll Do The Work: You will work closely with internal teams and clients to contribute to the design, development, and deployment of AI‑powered solutions across sectors such as health, energy, and education. You will help translate business and research needs into technical implementations, build and refine multi-step AI workflows, and support the delivery of scalable, secure systems in enterprise environments. You will contribute to new systems and enhancements that integrate with existing infrastructure, collaborating with colleagues and partners to deliver practical solutions that can be tested, deployed, maintained, and supported over time. In this role, you will support the development of AI systems and enhancements that integrate with RTI’s research infrastructure—including survey data collection platforms, systematic review pipelines, data quality assurance systems, and proposal development workflows—working closely with data scientists, domain researchers, and software developers to ensure solutions meet the rigor expected in federally regulated and research‑driven environments. This position offers flexibility to be based at our headquarters in Research Triangle Park, NC, or to work remotely. As part of the interview process, candidates will be asked to discuss a system they personally helped build. The discussion will cover their individual contribution, key technical decisions, challenges encountered, evaluation approach and results. Candidates will also participate in a job-related technical discussion and exercise. Responsibilities: AI System & Agent Development. Design, build, and maintain AI‑enabled systems and multi-stepworkflows, including retrieval, tool use, orchestration, and iterative improvement, with a focus on production readiness and maintainability. Enterprise & Research Infrastructure Integration. Contribute to AI systems that integrate with and extend RTI’s existing platforms—such as survey data collection, systematic review pipelines, data quality assurance tools, and proposal workflows—working within established architectures and constraints. Cloud‑Native Engineering. Develop and deploy cloud‑native services using APIs, containers, and modern CI/CD practices, contributing to scalable, secure, and cost‑aware AI solutions in enterprise environments. Workflow Translation & Automation. Translate research, business, and client needs into working AI applications that automate or augment workflows, collaborating closely with data scientists, researchers, and software engineers to ensure practical value and methodological rigor. Evaluation, Quality, and Reliability. Contribute to testing and evaluation approaches for AI systems, including performance monitoring, reliability checks, and cost/quality trade‑off analysis appropriate for federally regulated and research‑driven contexts. Client & Cross‑Team Collaboration. Participate in technical discussions, workshops, and prototype development with internal teams and clients, helping gather requirements, demonstrate solutions, and iterate based on stakeholder feedback. Reusable Patterns & Knowledge Sharing. Document systems, contribute to reusable components and shared abstractions, and support internal knowledge sharing to strengthen RTI’s AI engineering practices over time. What You'll Need Minimum Qualifications: Master's degree and at least three years of relevant work experience building cloud-native applications such as APIs, microservices, containerization, or serverless functions; OR a Bachelor's degree with at least five years of relevant experience building cloud-native applications such as APIs, microservices, containerization, or serverless functions. At least two years of programming experience in Python, JavaScript, TypeScript, or similar languages commonly used in AI and backend development. Demonstrated experience contributing to the development and deployment of AI- or LLM-based systems, including retrieval pipelines, prompt design, agentic workflows, or workflow automation. Experience integrating commercial or open-source AI models into a software application through APIs or model-serving infrastructure. Experience developing systems that work with sensitive, restricted, or confidential data, and understanding how data access, privacy, and compliance requirements influence system design. Proficiency with shared version control (e.g., Git) and collaborative software development workflows. Familiarity with modern deployment and delivery practices, including CI/CD pipelines, containers, and basic infrastructure-as-code concepts. Experience working in cross-functional, team-based environments, including participating in technical discussions, reviews, and iterative delivery. Strong written and verbal communication skills, with the ability to explain AI system behavior, trade-offs, and limitations to non-technical researchers, clients, and federal stakeholders. 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: Experience working with AI orchestration frameworks such as LangChain, LlamaIndex, or similar tools. Exposure to AI orchestration or workflow frameworks, or experience building applications that coordinate multiple models, tools, or processing steps. Experience working with one or more cloud platforms such as AWS, Azure, or GCP. Experience working with relational and cloud-native database systems (e.g., PostgreSQL, SQL-based systems). Experience supporting projects in enterprise, regulated, or research-driven environments. Experience contributing to proposals, technical writing, or business development efforts in a research or federal contracting context. Proficiency with Unix/Linux command-line environments. Interest in growing into more senior AI engineering or technical leadership roles within a collaborative, research‑driven environment. EEO & Pay Equity Statements 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. Hiring Salary Range $122,000 - $150,000