Senior Consultant, Statistician, Indirect Treatment Comparison (ITC), Evidence Synthesis

Location: Remote, candidates must be based in Canada

OVERVIEW

Associate Principals are methodologic experts with substantial experience in providing consulting services to Pharmaceutical clients. Associate Principals are project leaders who are responsible for implementing rigorous evidence synthesis research, overseeing the work of junior staff, and proactively managing the project timeline. They are detail oriented, act on anticipated project needs, and problem solve. Associate Principals contribute to the operational and fiscal health of the overall practice and training/success of junior staff.

REQUIRED KNOWLEDGE

Excellent knowledge of systematic literature review (SLR) methods and indirect treatment comparison (ITC). Significant experience leading and conducting ITC projects, including network meta-analysis, matching adjusted meta-analysis, etc. Expert understanding of global SLR guidelines and best practices, and substantial experience in implementing them.

RESPONSIBILITIES

• Lead implementation of evidence synthesis projects to support HTA and/or regulatory submissions from pre-award to final delivery, as well as hands on development of deliverables
• Lead project teams to ensure the execution of rigorous and high quality deliverables according to timelines
• Expert ability to synthesize data qualitatively and quantitatively, and guide junior staff
• Project management—manage projects, oversee the operational, financial, and administrative requirements of projects
• Business development—independently qualify leads, develop proposals, attend bid defenses, and manage the contracting process
• Support more senior staff on specific business initiatives as required
• Work effectively across time zones as part of a global team
• Client management
• Must have 5+ years as the point of contact on projects

QUALIFICATIONS, EXPERIENCE, TECHNICAL AND PERSONAL SKILLS

• Essential qualifications
• Masters in epidemiology, pharmacology, public health, or biostatistics (other health sciences ok)
• 7+ years leading the implementation of evidence synthesis research (must have a strong background in biostatistics)
• Preferred experience
• PhD in epidemiology, public health, or biostatistics (other health sciences ok)
• 5+ years leading the implementation of evidence synthesis research (must have a strong background in biostatistics)
• Essential general technical skills and knowledge
• Exceptional attention to detail
• Significant and demonstrated experience independently leading projects that included Bayesian NMAs and/or other ITCs
• Solid understanding of SLR concepts, guidelines, and required rigor
• Substantial experience independently leading projects that included meta-analysis, NMA, or other Bayesian statistical analysis
• Strong ability to quality check own and others work so that drafts are delivered with only minimal minor typographical errors
• Competency in using PowerPoint, Excel, and Word
• Essential personal skills and behaviors
• Fluency in English (spoken and written); strong business/scientific written English
• A commitment to working collaboratively and effectively with others in and across the team to accomplish goals
• A commitment to timely internal and client communication; with clients, IQVIA project managers and team members, IQVIA colleagues and others
• A pragmatic and logical problem solving approach to projects
• Strong attention to detail on all project deliverables even under time pressure.
• A good understanding of project management with proven time management and personal organizational skills

IQVIA is a leading global provider of clinical research, commercial information, and health care insights for the life sciences and health industries. IQVIA is dedicated to accelerating the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. For more information, visit https://jobs.iqvia.com IQVIA is proud to be an equal opportunity employer. All qualified candidates will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.