Job Description
Job title: Sr Statistician
Contract duration: 12 Months contract
Location: Mounds View, MN
Job description:
HM's Top Needs:
1. A degree in statistics or biostatistics
2.Coding experience with SAS or R
3.Familiarity with study or registry data (device data or pharmaceutical would be ideal)
In this exciting role as a Senior Statistician, you will have primary focus responsibility to support innovative cardiovascular device clinical trials and contribute to efforts in the field of advanced analytics and data solutions. The Senior Statistician will support Cardiac Rhythm Management (CRM), Cardiac Ablation Solutions (CAS), Cardiovascular Diagnostics & Services (CDS) and Mechanical Circulatory Support (MCS).
Nice to Have (Preferred Qualifications):
· Master's degree (or above) in statistics/biostatistics or relevant fields
· 2+ years post graduate experience in medical research
· Understanding of statistics and machine learning methods, ability to continue self-learning of technical and non-technical skills
· Demonstrated proficiency in SAS, R or Python and experience with low level languages, including C/C++
· Prior experience in FDA and/or global regulatory submissions
A Day in the Life
Responsibilities may include the following and other duties may be assigned.
· Validates statistical analyses performed by other team statisticians (using R or SAS programming languages).
· Designs, plans and executes biostatistical components of plans for research and development projects that establish the conditions essential for determining safety, efficacy, and marketability of pharmaceutical and/or biological products.
· Uses sound statistical methodology to conduct studies relating to the life cycle of the product.
· In development-phase projects, prepares the statistical component of protocols which meet project objectives, health authority guidelines, and clinical trial methodology standards.
· Develops and/or applies statistical theories, methods, and software.
· Summarizes and interprets data into tabular and graphical formats amenable to principles of statistical inference and is responsible for the statistical component of reports describing studies, outcomes and methods used.
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