About the Role
In this vital role, you will generate evidence to meet Health Technology Assessment (HTA) requirements, ensuring analyses are robust, valid, and meet required standards. You will represent CfDA at multi-disciplinary teams, advocating for statistical strategies, and contribute to all aspects of evidence generation for HTA needs, including Systematic Literature Reviews (SLRs), Evidence Synthesis Feasibility Assessments (ESFA), analysis methodology, and technical report production. You will also complete statistical analysis of evidence generation projects and support departmental activities like methodology research and analysis toolkit development. Stay updated on HTA policies, requirements, and statistical advances in the HTA setting.
Responsibilities
- Generate evidence to meet Health Technology Assessment (HTA) requirements.
- Ensure analyses performed meet required standards and are robust and valid.
- Represent CfDA at multi-disciplinary teams, advocating for robust and appropriate statistical strategies.
- Contribute to all aspects of evidence generation to meet HTA needs, including Systematic Literature Reviews (SLRs), Evidence Synthesis Feasibility Assessments (ESFA), analysis methodology, and technical report production.
- Complete statistical analysis of evidence generation projects.
- Support departmental activities including methodology research, analysis toolkit development, and creation and roll-out of training materials.
- Stay up to date with HTA policies and requirements, and statistical advances in the HTA setting.
Requirements
- Degree educated in Statistics/Biostatistics or related subject with high statistical content.
- HTA statistical experience in the pharmaceutical industry or medical research.
- Experience of working on HTA evidence generation projects, from strategy planning through to analysis, reporting and submission.
Skills
- Knowledge of R and other statistical software (e.g., SAS).
- Excellent communication skills.
- Ability to work optimally within teams.
- Capacity to autonomously manage tasks and projects.
Location
- Cambridge
- Uxbridge
Work Type
- Hybrid
- Remote
Experience Level
- Experienced professional
Education Level
- Degree educated in Statistics/Biostatistics or related subject with high statistical content
Benefits
- Vast opportunities to learn and move up and across our global organization.
- Diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act.
- Generous Total Rewards Plan comprising health, finance and wealth, work/life balance, and career benefits.
About the Company
- Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics.
- This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology.
- Amgen focuses on areas of high unmet medical need and leverages its biologics manufacturing expertise to strive for solutions that improve health outcomes and dramatically improve people's lives.
- A biotechnology pioneer since 1980, Amgen has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential.
Equal Opportunity
- Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
- We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
- Please contact us to request an accommodation.
