Parexel
Parexel is hiring a Consultant, Advanced Analytics: Meta-Analysis (HTA Statistician) to work remotely from the U.S.
Location: US
Remote
Time Zone:
Candidates must be able to accommodate
EST and CET time zones
.
Employment Type:
Full-Time
The ideal candidate will have 3+ years of experience in:
Network Meta-Analysis (NMA) and survival analysis
Indirect Treatment Comparison (ITC)
Meta-analysis and comparative effectiveness research
HTA submission support and dossier development
Collaborating with affiliates
Job Purpose The
Consultant, Advanced Analytics: Meta-Analysis
contributes statistical capabilities and methodological leadership at all stages of projects, from planning to completion. The role involves working with junior team members to design, develop, and deliver client solutions across multiple projects—leveraging competencies in
statistical theory, data analysis and interpretation, regression analysis, systematic review, and evidence synthesis methodologies
.
The individual must have a
Master's or Doctoral Degree
in
Health Economics, Health Policy, Statistics, Biostatistics, Mathematics
, or other quantitative fields. Proficiency in
data analytics and statistical software/tools
such as
WinBUGS, R, Stata, Python, and SAS
is required.
Key Accountabilities
Provide expert input on the design of clinical development programs to ensure Access/HTA evidence needs are considered within global development and commercialization strategies.
Identify evidence gaps, possible data sources, and design and implement robust evidence-generation plans.
Ensure Access/HTA evidentiary activities are strategically aligned with other functions within Global Access and the wider organization (affiliates, Product Development, commercial, etc.).
Plan and conduct statistical analyses of clinical trials and other relevant data sources and develop supporting technical documentation for statistical analyses and economic models.
Interpret and communicate the findings of analyses and work closely with affiliates to incorporate global statistical and health economics input into their local reimbursement applications.
Lead or contribute to cross-functional teams within a matrix structure and actively contribute to the development of methodologies and continuous improvement within the Evidence Chapter.
Keep up to date with the changing Access/HTA landscape and academic research to ensure current access trends and methodologies are incorporated into evidentiary plans and build relationships with relevant external statistics, health economics, Access/HTA, and policy experts.
Additional Responsibilities The Consultant is responsible for ensuring that all assigned projects are conducted efficiently and that
quality and client satisfaction
are maximized—ensuring project direction and deliverables meet objectives and client needs.
Consultants are expected to guide
Senior Associates and Associates
in their daily duties and flag any areas of acute training needs to their line managers. Supported by senior staff and Business Development partners, the Consultant is responsible for maintaining client relationships on their projects.
Candidates will be part of
multi-disciplinary research teams
and will provide statistical expertise and methodological leadership at all stages of projects from planning to completion. Duties may include:
Preparing network meta-analysis protocols
Reviewing data extracted from systematic literature reviews
Conducting feasibility assessments
Generating network diagrams
Critically assessing study heterogeneity
Conducting network meta-analysis
Assisting with interpretation and dissemination of findings
The candidate is also expected to support
thought leadership and innovation objectives
in advanced analytics, including but not limited to:
Pairwise meta-analysis
Mixed treatment comparison
Indirect treatment comparison
Network meta-analysis
Match-adjusted indirect treatment analysis
Meta-regression
Single-arm trial analysis
Simulated treatment comparison
Surrogate outcome assessment
Skills & Qualifications
Master's or Doctoral-level degree
in applied statistics, health economics, or related quantitative fields.
Minimum of
3 years of hands-on experience
in the pharmaceutical industry, consultancy, Access/HTA/reimbursement agency, or academic institution (pharma affiliate experience is a plus).
In-depth knowledge of
Access and HTA
, clinical research and development methods, and international payer evidence requirements.
Skilled in research design and statistical methods, such as
Generalized Linear Models, Survival Analysis, Network Meta-Analysis, and Bayesian statistics
.
Proficient in
R
and
GitLab
(experience with SAS, Python, WinBUGS, JAGS, or other relevant statistical software is a plus).
Strong strategic, collaboration, and communication skills; excellent organization, planning, and prioritization abilities; ability to meet tight deadlines; and strong written and verbal communication skills in English.
#LI-REMOTE
EEO Disclaimer
Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
#J-18808-Ljbffr
Location: US
Remote
Time Zone:
Candidates must be able to accommodate
EST and CET time zones
.
Employment Type:
Full-Time
The ideal candidate will have 3+ years of experience in:
Network Meta-Analysis (NMA) and survival analysis
Indirect Treatment Comparison (ITC)
Meta-analysis and comparative effectiveness research
HTA submission support and dossier development
Collaborating with affiliates
Job Purpose The
Consultant, Advanced Analytics: Meta-Analysis
contributes statistical capabilities and methodological leadership at all stages of projects, from planning to completion. The role involves working with junior team members to design, develop, and deliver client solutions across multiple projects—leveraging competencies in
statistical theory, data analysis and interpretation, regression analysis, systematic review, and evidence synthesis methodologies
.
The individual must have a
Master's or Doctoral Degree
in
Health Economics, Health Policy, Statistics, Biostatistics, Mathematics
, or other quantitative fields. Proficiency in
data analytics and statistical software/tools
such as
WinBUGS, R, Stata, Python, and SAS
is required.
Key Accountabilities
Provide expert input on the design of clinical development programs to ensure Access/HTA evidence needs are considered within global development and commercialization strategies.
Identify evidence gaps, possible data sources, and design and implement robust evidence-generation plans.
Ensure Access/HTA evidentiary activities are strategically aligned with other functions within Global Access and the wider organization (affiliates, Product Development, commercial, etc.).
Plan and conduct statistical analyses of clinical trials and other relevant data sources and develop supporting technical documentation for statistical analyses and economic models.
Interpret and communicate the findings of analyses and work closely with affiliates to incorporate global statistical and health economics input into their local reimbursement applications.
Lead or contribute to cross-functional teams within a matrix structure and actively contribute to the development of methodologies and continuous improvement within the Evidence Chapter.
Keep up to date with the changing Access/HTA landscape and academic research to ensure current access trends and methodologies are incorporated into evidentiary plans and build relationships with relevant external statistics, health economics, Access/HTA, and policy experts.
Additional Responsibilities The Consultant is responsible for ensuring that all assigned projects are conducted efficiently and that
quality and client satisfaction
are maximized—ensuring project direction and deliverables meet objectives and client needs.
Consultants are expected to guide
Senior Associates and Associates
in their daily duties and flag any areas of acute training needs to their line managers. Supported by senior staff and Business Development partners, the Consultant is responsible for maintaining client relationships on their projects.
Candidates will be part of
multi-disciplinary research teams
and will provide statistical expertise and methodological leadership at all stages of projects from planning to completion. Duties may include:
Preparing network meta-analysis protocols
Reviewing data extracted from systematic literature reviews
Conducting feasibility assessments
Generating network diagrams
Critically assessing study heterogeneity
Conducting network meta-analysis
Assisting with interpretation and dissemination of findings
The candidate is also expected to support
thought leadership and innovation objectives
in advanced analytics, including but not limited to:
Pairwise meta-analysis
Mixed treatment comparison
Indirect treatment comparison
Network meta-analysis
Match-adjusted indirect treatment analysis
Meta-regression
Single-arm trial analysis
Simulated treatment comparison
Surrogate outcome assessment
Skills & Qualifications
Master's or Doctoral-level degree
in applied statistics, health economics, or related quantitative fields.
Minimum of
3 years of hands-on experience
in the pharmaceutical industry, consultancy, Access/HTA/reimbursement agency, or academic institution (pharma affiliate experience is a plus).
In-depth knowledge of
Access and HTA
, clinical research and development methods, and international payer evidence requirements.
Skilled in research design and statistical methods, such as
Generalized Linear Models, Survival Analysis, Network Meta-Analysis, and Bayesian statistics
.
Proficient in
R
and
GitLab
(experience with SAS, Python, WinBUGS, JAGS, or other relevant statistical software is a plus).
Strong strategic, collaboration, and communication skills; excellent organization, planning, and prioritization abilities; ability to meet tight deadlines; and strong written and verbal communication skills in English.
#LI-REMOTE
EEO Disclaimer
Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
#J-18808-Ljbffr