Implementation Science Research Scientist

$100K - $135K NC, US Mid Level Research Scientist

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About This Role

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About the Hiring Group:

RTI Health Solutions (RTI-HS), a business unit 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.

The Patient-Centered and Outcomes Research (PCOR) team consists of accredited researchers who aim to produce evidence that empowers patients and healthcare providers to make informed decisions that optimize health outcomes, enhance patient-centered care, and improve the overall quality and efficiency of healthcare delivery.

Our PCOR team is made up of 5 practice areas:* Health Economics Database Studies

  • Health Preference Assessment
  • Patient-Centered Outcomes Assessment
  • Surveys and Observational Studies
  • Implementation Science

What You'll Do:

RTI Health Solutions is seeking an experienced, strategic, and highly collaborative Associate Director, Implementation Scientist to support the continued growth and execution of our Implementation Science Program. This role is ideal for an implementation scientist or research leader who combines strong methodological expertise with an understanding of pharmaceutical development, evidence generation, and the practical factors that influence the adoption of therapies and healthcare solutions.

In this role, you will lead implementation science projects from initial scoping and research design through execution, interpretation, and delivery. You will assume ownership of project scope, scientific quality, timelines, budgets, risks, team coordination, and client communication while remaining actively engaged in qualitative, quantitative, and mixed-methods research. You will also provide technical guidance to project teams and collaborate with scientific experts across RTI-HS and RTI International.

You will partner with pharmaceutical and biotechnology clients to apply implementation science proactively across the development lifecycle. Your work will help identify potential adoption roadblocks early in the clinical development pipeline and integrate practical, evidence-based solutions into research and evidence-generation strategies. As needed, you will contribute to business development, proposals, capability presentations, client cultivation, and growth of the Implementation Science practice.Key Responsibilities

Project and Scientific Leadership* Lead complex implementation science and applied health research projects from initial scoping and study design through final delivery.

  • Translate client objectives and evidence needs into scientifically rigorous, feasible, and decision-relevant research strategies.
  • Provide strategic direction on the application of implementation science to pharmaceutical development, evidence generation, healthcare delivery, and product adoption challenges.
  • Serve as the scientific and project lead for multidisciplinary teams, establishing clear roles, decision points, quality expectations, and communication pathways.
  • Exercise sound judgment when balancing scientific rigor, operational feasibility, client priorities, timelines, and available resources.
  • Provide scientific review of study plans, instruments, analyses, interpretations, reports, presentations, and other client deliverables.
  • Identify and manage scientific, operational, and client risks, escalating issues when appropriate and developing practical mitigation plans.

Research Design and Technical Contribution* Design implementation science studies using qualitative, quantitative, and mixed-methods approaches appropriate to the research question and decision context.

  • Select and apply implementation science theories, models, and frameworks, such as CFIR, RE-AIM, EPIS, or other fit-for-purpose approaches.
  • Develop or oversee logic models, theories of change, implementation strategies, evaluation plans, study protocols, analysis plans, and implementation outcome measures.
  • Design and oversee interviews, focus groups, surveys, observations, stakeholder-engagement activities, site-based research, and other data-collection approaches.
  • Guide qualitative coding and analysis, quantitative and descriptive analyses, mixed-methods integration, and interpretation of findings.
  • Apply appropriate research designs, including observational, pragmatic, formative, process-evaluation, and hybrid effectiveness-implementation designs, as relevant to the project.
  • Conduct or direct literature reviews, landscape assessments, environmental scans, and other evidence-synthesis activities.
  • Ensure that research activities and deliverables meet applicable scientific, ethical, regulatory, privacy, documentation, and quality standards.

Pharmaceutical Development and Evidence Generation* Apply an understanding of the pharmaceutical development process and evidence needs across clinical development, regulatory planning, market access, launch preparation, and post-launch evidence generation.

  • Help clients identify potential barriers and facilitators to adoption, implementation, scale-up, and sustainability early enough to inform clinical and evidence-development decisions.
  • Integrate implementation questions, outcomes, measures, and strategies into fit-for-purpose research and evidence-generation plans.
  • Connect implementation science findings to the needs of relevant stakeholders, including patients, caregivers, healthcare professionals, health systems, payers, health technology assessment bodies, and other decision makers.
  • Collaborate with experts in health economics and outcomes research, real-world evidence, epidemiology, patient-centered outcomes research, surveys and observational studies, medical communications, and strategic consulting to develop integrated solutions.
  • Maintain awareness of developments in pharmaceutical evidence generation, implementation science methods, healthcare delivery, and the regulatory and market access environment.

Project Delivery and Ownership* Assume day-to-day ownership of assigned projects, including scope, work plans, staffing, timelines, budgets, quality, risks, and client expectations.

  • Develop project plans and translate them into clear assignments, milestones, review points, and decision timelines for multidisciplinary teams.
  • Monitor project financial and operational performance and take timely corrective action when delivery deviates from the agreed plan.
  • Coordinate internal contributors, research sites, vendors, subcontractors, and other partners to support efficient and high-quality execution.
  • Lead project-team and client meetings, communicate decisions and next steps, and maintain transparent documentation of progress and risks.
  • Ensure deliverables are scientifically accurate, responsive to client needs, completed within scope, and submitted on time.
  • Support the development of junior and mid-level researchers through delegation, scientific review, constructive feedback, coaching, and opportunities for increasing responsibility.

Client Leadership and Business Development* Build and maintain trusted relationships with pharmaceutical, biotechnology, and other healthcare clients.

  • Lead or contribute to client discussions regarding implementation challenges, research options, evidence-generation strategies, and practical solutions.
  • Serve in a business development capacity as needed, including opportunity qualification, proposal strategy, methodological design, scope development, staffing, timelines, budgets, and proposal writing.
  • Develop and deliver capability presentations, workshops, and other materials that communicate RTI-HS’s implementation science expertise and value.
  • Identify opportunities to expand existing client relationships, address emerging evidence needs, and integrate implementation science with other RTI-HS services.
  • Contribute to pipeline development, account planning, and strategic growth initiatives in collaboration with practice and business-development leaders.
  • Represent RTI-HS professionally in client meetings, conferences, workshops, and other external engagements.

Cross-Functional Collaboration and Practice Development* Serve as a cross-functional collaborator across RTI Health Solutions and, as appropriate, RTI International.

  • Connect Implementation Science capabilities with relevant expertise across Value, Access, and HEOR; Patient-Centered and Outcomes Research; Epidemiology and Biostatistics; Medical Communications; Global Business Operations; and Strategic Consulting and Growth.
  • Convene and facilitate multidisciplinary teams to develop integrated approaches to complex client and research questions.
  • Contribute to the development and standardization of implementation science tools, templates, methods, quality processes, and best practices.
  • Document lessons learned and translate project experience into reusable approaches, training resources, and innovations that strengthen the program.
  • Mentor colleagues and promote scientific rigor, knowledge sharing, inclusion, accountability, and continuous improvement.
  • Lead or contribute to manuscripts, conference abstracts, posters, presentations, webinars, and other scientific or thought-leadership activities.

What You'll Need:

  • A PhD in implementation science, translational health science, public health, health services research, behavioral or social science, epidemiology, or a related field plus at least 2 years of directly relevant experience; or a relevant master’s degree plus at least 4 years of directly relevant experience.
  • Demonstrated experience applying implementation science theories, models, frameworks, strategies, and outcomes to real-world healthcare or life sciences questions.
  • Strong understanding of the pharmaceutical development process and the role of evidence generation in clinical development, regulatory planning, market access, launch, and post-launch decision making.
  • Demonstrated ability to design scientifically rigorous and operationally feasible health research studies.

Preferred* Experience designing, conducting, analyzing, and interpreting qualitative and quantitative research, including meaningful experience integrating methods within mixed-methods studies.

  • Demonstrated success leading research or consulting projects and assuming ownership of scope, timelines, budgets, quality, risks, team coordination, and client communication.
  • Strategic thinking and problem-solving skills, including the ability to translate ambiguous client questions into structured research and evidence-generation approaches.
  • Experience working directly with clients or external research partners and communicating scientific concepts, study options, tradeoffs, and recommendations.
  • Ability to collaborate effectively across scientific disciplines and organizational functions and to influence outcomes without relying solely on formal authority.
  • Experience contributing to proposals, scopes of work, budgets, capability presentations, or other business-development activities.
  • Strong written and verbal communication skills, including experience preparing and reviewing client deliverables, research reports, proposals, and scientific presentations.
  • Ability to manage competing priorities, make timely decisions, and maintain high standards of scientific integrity, research ethics, and quality.

#LI=BM1 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: $100,000.00-$135,000.00

Salary Context

This $100K-$135K range is in the lower quartile for Research Scientist roles in our dataset (median: $197K across 73 roles with salary data).

Role Details

Title Implementation Science Research Scientist
Location NC, US
Category Research Scientist
Experience Mid Level
Salary $100K - $135K
Remote No

About This Role

Research Scientists push the boundaries of what AI can do. They design experiments, develop novel architectures, publish papers, and translate research breakthroughs into production capabilities. This is where the fundamental advances happen, from attention mechanisms to diffusion models to reasoning chains.

The work is intellectually demanding and often ambiguous. You might spend months on an approach that doesn't pan out. The best research scientists combine deep mathematical intuition with engineering pragmatism. They know when to go deep on theory and when to run experiments. They read papers voraciously and can spot incremental contributions from genuine breakthroughs.

Across the 8,943 AI roles we're tracking, Research Scientist positions make up 2% of the market. At RTI International, this role fits into their broader AI and engineering organization.

Research Scientist roles are concentrated at major AI labs (OpenAI, Anthropic, Google DeepMind, Meta FAIR) and well-funded AI startups. The competition is intense. PhD is effectively required for most positions, and publication track record matters. Compensation is among the highest in AI, reflecting both the scarcity of talent and the strategic importance of research breakthroughs.

What the Work Looks Like

A typical week includes: reading and discussing recent papers with your team, designing and running experiments on multi-GPU clusters, analyzing results and iterating on hypotheses, writing up findings for internal review or publication, and collaborating with engineering teams to productionize promising results. The ratio of thinking to coding is higher than in engineering roles.

Research Scientist roles are concentrated at major AI labs (OpenAI, Anthropic, Google DeepMind, Meta FAIR) and well-funded AI startups. The competition is intense. PhD is effectively required for most positions, and publication track record matters. Compensation is among the highest in AI, reflecting both the scarcity of talent and the strategic importance of research breakthroughs.

Skills in Demand for This Role

Python (16% of roles) Aws (9% of roles) Azure (7% of roles) Rag (6% of roles) Gcp (5% of roles) Pytorch (5% of roles) Claude (4% of roles) Kubernetes (4% of roles)

PhD strongly preferred for most roles. Deep expertise in a specific area (NLP, computer vision, reinforcement learning, multimodal) is expected. PyTorch is the standard. Publication track record matters. Strong mathematical foundations in linear algebra, probability, optimization, and information theory are assumed.

Beyond the fundamentals, companies value experience with large-scale distributed training, novel architecture design, and the ability to bridge theory and practice. Understanding of current frontier topics (reasoning, multimodal, long-context, alignment) is essential. Code quality matters more than many researchers expect. Labs want researchers who can implement their ideas cleanly.

Strong research postings specify the research area, mention the team you'd join, and describe the problems they're working on. They often list recent publications from the team. Vague 'AI research' postings without specifics usually mean the company wants to sound impressive but doesn't have a real research agenda.

Compensation Benchmarks

Research Scientist roles pay a median of $222,200 based on 708 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $193,200. This role's midpoint ($117K) sits 47% below the category median. Disclosed range: $100K to $135K.

Across all AI roles, the market median is $213,380. Top-quartile compensation starts at $264,148. The 90th percentile reaches $319,310. For comparison, the highest-paying categories include AI Safety ($253,100) and Research Engineer ($252,000). By seniority level: Entry: $110,408; Mid: $193,200; Senior: $228,700; Director: $272,250; VP: $235,000.

RTI International AI Hiring

RTI International has 2 open AI roles right now. They're hiring across Research Scientist, AI Software Engineer. Positions span NC, US, Durham, NC, US. Compensation range: $135K - $150K.

Location Context

Across all AI roles, 6% (521 positions) offer remote work, while 8,351 require on-site attendance. Top AI hiring metros: New York (2,878 roles, $221,000 median); San Francisco (2,416 roles, $263,811 median); Los Angeles (1,340 roles, $210,000 median).

Career Path

Common paths into Research Scientist roles include PhD Student, Research Engineer, Postdoc.

From here, career progression typically leads toward Research Lead, Distinguished Scientist, VP of Research.

The PhD is the entry point for most paths. Choose your advisor and research area carefully since they'll define your first industry position. Publish consistently, contribute to open-source projects in your area, and build relationships at conferences. Industry research offers better compensation and compute resources than academia, but the pressure to show product impact is real.

What to Expect in Interviews

Research interviews are multi-stage: a research talk (present your best paper), technical deep-dives on your methodology, and often a 'research proposal' exercise where you design an experiment to test a hypothesis. Coding rounds test implementation ability alongside theoretical knowledge. Be prepared to implement a paper from scratch and discuss the design choices the authors made. Strong candidates can critique papers constructively and identify gaps in experimental methodology.

When evaluating opportunities: Strong research postings specify the research area, mention the team you'd join, and describe the problems they're working on. They often list recent publications from the team. Vague 'AI research' postings without specifics usually mean the company wants to sound impressive but doesn't have a real research agenda.

AI Hiring Overview

The AI job market has 8,943 open positions tracked in our dataset. By seniority: 175 entry-level, 4,132 mid-level, 3,268 senior, and 1,368 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (521 positions). The remaining 8,351 roles require on-site or hybrid attendance.

The market median for AI roles is $213,380. Top-quartile compensation starts at $264,148. The 90th percentile reaches $319,310. Highest-paying categories: AI Safety ($253,100 median, 57 roles); Research Engineer ($252,000 median, 419 roles); AI Engineering Manager ($251,622 median, 51 roles).

Research Scientist roles are concentrated at major AI labs (OpenAI, Anthropic, Google DeepMind, Meta FAIR) and well-funded AI startups. The competition is intense. PhD is effectively required for most positions, and publication track record matters. Compensation is among the highest in AI, reflecting both the scarcity of talent and the strategic importance of research breakthroughs.

The AI Job Market Today

The AI job market spans 8,943 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (6,739), AI Product Manager (403), AI Software Engineer (402). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.

The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (175) are outnumbered by mid-level (4,132) and senior (3,268) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 1,368 positions, representing the bottleneck between technical execution and organizational strategy.

Remote work availability sits at 6% of all AI roles (521 positions), with 8,351 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.

AI compensation is structured in clear tiers. The market median sits at $213,380. Top-quartile roles start at $264,148, and the 90th percentile reaches $319,310. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.

Category matters for compensation. AI Safety roles lead at $253,100 median, while Prompt Engineer roles sit at $141,440. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.

The most in-demand skills across all AI postings: Python (1,422 postings), Aws (808 postings), Azure (638 postings), Rag (555 postings), Gcp (457 postings), Pytorch (433 postings), Claude (341 postings), Kubernetes (337 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.

Frequently Asked Questions

Based on 708 roles with disclosed compensation, the median salary for Research Scientist positions is $222,200. Actual compensation varies by seniority, location, and company stage.
PhD strongly preferred for most roles. Deep expertise in a specific area (NLP, computer vision, reinforcement learning, multimodal) is expected. PyTorch is the standard. Publication track record matters. Strong mathematical foundations in linear algebra, probability, optimization, and information theory are assumed.
About 6% of the 8,943 AI roles we track offer remote work. Remote availability varies by company and seniority level, with senior and leadership roles more likely to offer location flexibility.
RTI International is among the companies actively hiring for AI and ML talent. Check our company profiles for detailed breakdowns of open roles, salary ranges, and hiring trends.
Common next steps from Research Scientist positions include Research Lead, Distinguished Scientist, VP of Research. Progression depends on whether you lean toward technical depth, people management, or product strategy.

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