This vacancy is based in Boston, MA
What we are looking for
We are looking for a highly motivated Statistician or Senior Statistician with a passion for applying their statistical knowledge to support development of patient-reported outcome (PRO) measures and analysis of data reported by patients in various study designs (e.g. clinical trial, observational field studies, etc). PRO measures are questionnaires designed to directly measure how a patient feels or functions from the patient perspective. PROs frequently form primary endpoints and are thus crucial for the regulatory approval and commercial success of many drugs. You will have a Masters in Medical Statistics, Applied Statistics or a related field. Some knowledge or experience of analyzing and reporting quantitative data using SAS would be desirable (essential for the senior role). In addition to this, it would be of interest if you were familiar with advanced statistical methods including longitudinal data analysis, mixed modelling, growth curve models, multiple imputation, survival analysis, factor analysis and conjoint analysis. This is an excellent opportunity for a talented and ambitious individual who would relish in working in a fast-paced but fun environment.
How you fit in
With your background in statistics you will join a vibrant team of psychometricians, statisticians and SAS programmers who partner with a broader team of qualitative researchers/PRO measurement specialists. The ideal candidate will have a passion for applying your statistical skills to assessing outcomes reported by patients. In an exciting and varied role you will also be involved in study design, writing/reviewing protocols, writing Statistical Analysis Plans/reviewing and collaborating with the SAS programming team to prepare associated table shells. You will also be involved in preparing and/or reviewing statistical analyses and providing input to the interpretation of results. You will provide input on the statistical elements of study reports, publications, and other deliverables and also serve as a statistical consultant internally for the wider Adelphi Values research team. You will be involved in providing internal training on relevant statistical methodology and also production of statistical analysis, tables, figures and listings in SAS. You will also be encouraged to present work externally at conferences, and develop your statistical knowledge through ongoing training and academic collaboration.
What we offer
We believe in rewarding high performance and ongoing career development. Our benefits package includes a competitive salary, performance-related rewards, a comprehensive health and welfare benefits package, 401k with employer match and gym membership. This position is based at our headquarters office in Boston, MA, a short walk from South Station, in what was named one of the coolest office spaces in Boston by Boston.com!
Adelphi Values does not accept unsolicited agency resumes. Recruitment agencies should not send resumes to our HR team or to any of our employees. We are not responsible for any fees related to unsolicited resumes from recruitment agencies.
"I have the exciting opportunity to hire, develop and reward talented people and watch their contributions positively impact our clients' businesses."Senior HR Manager, USA, Patient-Centered Outcomes
"No two days are the same, the variety keeps the job exciting. Every day I feel like I learn something new."Associate Director, Patient-Centered Outcomes
"Adelphi Values has given me the perfect opportunity to work in healthcare; every day I am enhancing my research skills and learning something new (and I hope that doesn't stop), while working in a fun and friendly, but professional environment."Research Manager, Patient-Centered Outcomes
"Adelphi comes across as a very 'friendly' company which makes it an enjoyable place to work. In addition, it's given me the chance to develop new skills, learn about new diseases, and work with a variety of different pharmaceutical clients."Senior Research Manager, Patient-Centered Outcomes
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