

Senior Statistician
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Statistician in Mounds View, MN, lasting 12 months with potential for extension. Requires a degree in statistics/biostatistics, 4+ years of experience, and proficiency in SAS or R, with a focus on study or registry data.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
568
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ποΈ - Date discovered
September 12, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Mounds View, MN
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π§ - Skills detailed
#Programming #Compliance #SAS #R #Statistics #Python #GCP (Google Cloud Platform) #ML (Machine Learning) #C++
Role description
Title: Sr Statistician
Location: Mounds View, MN/Hybrid- 4 Days Onsite, Local, MN - Should be Physically Present- & Ready to visit the site as needed.
Duration: 12 months + (possibility of extension)
Shift: Standard shift
HM's Top Needs:
β’ A degree in statistics or biostatistics
β’ Coding experience with SAS or R
β’ Familiarity with study or registry data (device data or pharmaceutical would be ideal)
Yearsβ Experience Required:
β’ Bachelor's degree with a minimum of 4 years of statistical experience (e.g., statistical modeling, biostatistics)
OR
β’ Advanced degree with a minimum of 2 years of statistical experience (e.g., statistical modeling, biostatistics)
Job Description:
β’ Validates statistical analyses performed by other team statisticians (using R or SAS programming languages).
β’ 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.
β’ Uses sound statistical methodology to conduct studies relating to the life cycle of the product.
β’ In development-phase projects, prepares the statistical component of protocols which meet project objectives, health authority guidelines, and clinical trial methodology standards.
β’ Develops and/or applies statistical theories, methods, and software.
β’ 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.
β’ Provides specifications and directions to the clinicians/statistical programmers.
β’ Supports the regulatory review and approval of experimental therapies.
β’ May partner in trial design and in establishing standards for clinical conduct, and the collection, management and/or reporting of data.
Nice to Have (Preferred Qualifications):
β’ Master's degree (or above) in statistics/biostatistics or relevant fields
β’ 2+ years post graduate experience in medical research
β’ Advanced degree
β’ β MS 2+yrs statistics analysis with Bonus of with direct experience on with the design and/or analysis of clinical trial data.
β’ Understanding of statistics and machine learning methods, ability to continue self-learning of technical and non-technical skills
β’ Demonstrated proficiency in SAS, R or Python and experience with low level languages, including C/C++
β’ Prior experience in FDA and/or global regulatory submissions
β’ Experience with adaptive designs, Bayesian modeling, sequential data, computational statistics
β’ Experience in processing large data from various data sources
β’ Experience in handling of protected patient health information
β’ Experience in Good Clinical Practice (GCP) and/or regulatory compliance guidelines for clinical trials and medical devices (e.g. ISO, MDD/MDR, CFR)
β’ Insatiable desire to learn, to innovate, and to challenge themselves for the benefit of patients.
Title: Sr Statistician
Location: Mounds View, MN/Hybrid- 4 Days Onsite, Local, MN - Should be Physically Present- & Ready to visit the site as needed.
Duration: 12 months + (possibility of extension)
Shift: Standard shift
HM's Top Needs:
β’ A degree in statistics or biostatistics
β’ Coding experience with SAS or R
β’ Familiarity with study or registry data (device data or pharmaceutical would be ideal)
Yearsβ Experience Required:
β’ Bachelor's degree with a minimum of 4 years of statistical experience (e.g., statistical modeling, biostatistics)
OR
β’ Advanced degree with a minimum of 2 years of statistical experience (e.g., statistical modeling, biostatistics)
Job Description:
β’ Validates statistical analyses performed by other team statisticians (using R or SAS programming languages).
β’ 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.
β’ Uses sound statistical methodology to conduct studies relating to the life cycle of the product.
β’ In development-phase projects, prepares the statistical component of protocols which meet project objectives, health authority guidelines, and clinical trial methodology standards.
β’ Develops and/or applies statistical theories, methods, and software.
β’ 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.
β’ Provides specifications and directions to the clinicians/statistical programmers.
β’ Supports the regulatory review and approval of experimental therapies.
β’ May partner in trial design and in establishing standards for clinical conduct, and the collection, management and/or reporting of data.
Nice to Have (Preferred Qualifications):
β’ Master's degree (or above) in statistics/biostatistics or relevant fields
β’ 2+ years post graduate experience in medical research
β’ Advanced degree
β’ β MS 2+yrs statistics analysis with Bonus of with direct experience on with the design and/or analysis of clinical trial data.
β’ Understanding of statistics and machine learning methods, ability to continue self-learning of technical and non-technical skills
β’ Demonstrated proficiency in SAS, R or Python and experience with low level languages, including C/C++
β’ Prior experience in FDA and/or global regulatory submissions
β’ Experience with adaptive designs, Bayesian modeling, sequential data, computational statistics
β’ Experience in processing large data from various data sources
β’ Experience in handling of protected patient health information
β’ Experience in Good Clinical Practice (GCP) and/or regulatory compliance guidelines for clinical trials and medical devices (e.g. ISO, MDD/MDR, CFR)
β’ Insatiable desire to learn, to innovate, and to challenge themselves for the benefit of patients.