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27 Cytel Jobs Hiring Near You

Cytel

Senior Biostatistician FSP

Cambridge, MA · On-site +1

Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Senior Biostatistician you will be ...

Cytel

Senior Statistical Programmer FSP

Cambridge, MA · On-site +1

Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Senior Statistical Programmer you ...

Cytel

Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Biostatistician you will be ...

Cytel

Senior Programmer FSP - RWD/EPI

Cambridge, MA · On-site +1

You will contribute by: * Providing support to the Epidemiology team by preparing Real World data, advising on data analytic strategies, and supporting stakeholders in various epidemiology analytic ...

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Infographic showing various job openings at Cytel in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 44% Physical, and 56% Remote job distribution.

Research Principal, Real World Evidence

Cambridge, MA • On-site, Remote

Cytel
See more jobs at Cytelexternal

Full-time

Re-posted 12 days ago

Job description


JOB SUMMARY
A scientific/strategic contributor with broad expertise and/or unique knowledge in a specific area, and an ability to achieve objectives in creative and effective ways. Typically manages multiple projects within a client or within a specialized area across several clients. Acts as the client's primary point of contact for engagements, developing mutually beneficial partnerships and taking ownership for the needs of the client.
The successful candidate will work within a growing team of RWE statisticians, epidemiologists and health economists, and in collaboration with subject matter experts across Cytel to generate impactful real-world evidence for faster patient access to effective treatments, with a focus on real-world comparative effectiveness research (trial emulation, external control arms). The Principal/Associate Director will also contribute to external dissemination activities and research innovation strategy within the RWE team.
Responsibilities
JOB RESPONSIBILITIES:
  • Responsible for business development and/or project execution leading to a client portfolio (in value and numbers) under direct management. In particular, the candidate should be able to:
    • Build and maintain successful long-term relationships with clients. Maintain existing network of client relationships.
    • Networks with key contacts outside own area of expertise and works closely with business development team to support client work as a SME or senior lead
    • Routinely identify opportunities for follow on work.
    • Manage project to ensure specified deliverables are developed on budget and undergo appropriate review and sign off.
    • Act as a technical lead and support development of code for complex methods
  • Responsible for the successful integration of the team on projects, quality of deliverables and the project team's efficiency. This includes
    • Mentoring and training of junior staff. Responsible for junior staff meeting the technical aspects their career development goals
    • Leadership or significant contributions to scientific processes involved with client deliverables (e.g., report templates, analysis plans, development of internal software/tools)
    • Can identify independently relevant methods, techniques and evaluation criteria for obtaining results
  • Keep abreast with regulatory, reimbursement and other industry requirements and guidelines, including via active participation in scientific conferences and symposia.
  • Identify and communicate recruitment needs. Lead or participate in hiring and training consultants as requested.
  • Ensure company and business unit policies, standards, and procedures are met.
  • Thought leader specifically, leading on external engagement in their topic area (conferences, publications, seminars) and internally through training, upskilling juniors.

Qualifications
Qualifications and Experience:
  • Education: Master's degree in Epidemiology, Biostatistics, Data Science, Mathematics or other relevant scientific field. PhD highly desirable.
  • Experience: 12-15 years of experience in the RWE or health research, academic or consulting environment. May require additional experience depending on focus area.
  • Skills:
    • Thorough understanding of the biopharmaceutical R&D process combined with business acumen.
    • Comfortable presenting and interfacing with senior executives within client companies. Strong technical-writing, oral communication and presentation skills, excellent use of the English language.
    • Curious, collaborative, entrepreneurial and self-motivated, without the need for significant infrastructure and support, and with an understanding of the dynamics of high-growth companies; the ability to work effectively in a demanding, challenging, rapidly changing environment.
    • Strong interpersonal skills with the ability to gain respect of and influence management team, board members, the customer and prospect communities, and personnel at all levels.
    • Strong problem-solving and analytical skills, and the ability to execute in complex situations at the tactical level.
    • Subject matter expertise in causal inference methods for comparative effectiveness studies, including target trial emulation, and/or developing real-world external control arms for clinical trials
    • Extensive experience with large healthcare real-world databases (electronic health records, claims databases)
    • Strong programming in R
    • Experience, vision, creativity, scope, integrity, leadership skills, prestige and intellect to enhance the existing organization and constructively contribute to the strategic direction of Cytel.
    • Experience with AI/ML methods
    • Experience with Bayesian statistical methods

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