Senior Research Scientist, Evidence Synthesis [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Research Scientist, Evidence Synthesis based in the United States.

Join a collaborative research team dedicated to advancing healthcare decision-making through innovative evidence synthesis methodologies. In this role, you will lead complex systematic literature reviews, indirect treatment comparisons, and health technology assessment projects that support critical pharmaceutical and healthcare decisions. You'll combine scientific expertise, analytical skills, and client engagement capabilities to deliver high-quality research outputs with real-world impact. Working in a remote, collaborative environment, you will contribute to cutting-edge methodologies while mentoring colleagues and supporting the growth of evidence-based healthcare solutions. This opportunity is ideal for a research professional who enjoys solving complex problems, managing sophisticated projects, and translating scientific insights into actionable recommendations.

Accountabilities:

• Lead and contribute to sophisticated evidence synthesis projects, including systematic literature reviews, network meta-analyses, matching-adjusted indirect comparisons, and related methodologies supporting health technology assessments.
• Develop high-quality client deliverables including research protocols, statistical analysis plans, technical reports, presentations, and other scientific documentation.
• Apply strong understanding of pharmaceutical research, healthcare evidence requirements, and methodological principles to guide project execution.
• Evaluate available evidence, identify key analytical considerations, and communicate recommendations through clear scientific outputs.
• Manage project components by coordinating with internal teams, ensuring quality standards, timelines, and budget objectives are achieved.
• Support client relationships by leading discussions, responding to project inquiries, and providing independent scientific expertise.
• Collaborate with multidisciplinary teams and mentor junior researchers through guidance, feedback, and development planning.
• Contribute to resource planning, process improvements, business development activities, and proposal development.
• Stay current with emerging evidence synthesis methods and contribute to advancing research capabilities within the organization.

Requirements

• Master’s degree in a relevant field such as health services research, health economics, epidemiology, biostatistics, public health, public policy, biology, biochemistry, or a related discipline.
• 4–6 years of professional experience in evidence synthesis, health research, systematic reviews, or related healthcare analytics fields.
• Demonstrated experience with systematic literature reviews and/or indirect treatment comparisons such as network meta-analysis, matching-adjusted indirect comparisons, or simulated treatment comparisons.
• Strong understanding of health technology assessment requirements and pharmaceutical industry research practices.
• Ability to independently develop scientific deliverables, interpret evidence, and communicate complex findings clearly.
• Excellent written and verbal communication skills with the ability to engage effectively with clients and cross-functional teams.
• Strong project management skills, including prioritization, organization, risk identification, and delivery oversight.
• Ability to mentor colleagues and share technical knowledge within a collaborative team environment.
• Proficiency with Microsoft Office and EndNote.
• Experience with R or R Shiny is advantageous.
• Self-motivated, adaptable, and comfortable working in a fast-paced environment with evolving priorities.

Benefits

• Fully remote work opportunity from the United States.
• Competitive annual compensation range of $100,000 – $140,000 USD .
• Eligibility for discretionary annual bonus opportunities.
• Comprehensive health insurance coverage.
• Retirement savings benefits.
• Life insurance and disability benefits.
• Paid parental leave.
• Paid time off for vacation and sick leave.
• Opportunity to work on innovative healthcare research projects with global impact.
• Collaborative environment focused on scientific excellence, knowledge sharing, and professional growth.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.