Statistician - Omaha


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Statistician

Omaha, Nebraska

 

Omaha is the largest city in Nebraska. Located in Douglas County, Omaha has a population of over 460,000 people. The broader metro area includes eight counties that house nearly 1.3 million people. With a low unemployment rate, it’s an ideal location for talented healthcare professionals. Whether you prefer to work in a hospital, clinic, home care or senior housing setting—Omaha job opportunities in healthcare are abundant.


On Time Talent Solutions is seeking a Statistician with a solid background in nonclinical statistics, strong consulting skills, and an interest in collaborating with research scientists in drug discovery and development.


Statistician Responsibilities:

  • Assist in and/or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the analysis plan, and conducting the actual analysis once a reporting database is created

  • Work closely with a multi-disciplinary team comprising of biologists, hardware, and software engineers as they design, improve and validate the underlying assay

  • Review statistical plans, protocols, submissions, and any other publication for accuracy

  • Successful and timely completion of the statistical analyses and proper record storage for clinical studies and submissions directly impacts the ability to meet product market entry dates

  • Ensure compliance requirements are incorporated into area activities involving statistics

  • Responsible for assisting in the communication of study results via regulatory submissions, and manuscripts, as well as for communicating one-on-one with key customers


Statistician Qualifications:

  • PhD or MSc in Biostatistics, Statistics or Mathematics, or a related field

  • Demonstrated expertise in at least one scripting languages such as MATLAB (preferred), Python or R for pipelines and complex data analysis

  • Expertise in machine learning techniques such as convolutional neural networks, recursive neural networks, LSTMs, random forests

  • Competent in experimental designs, sampling plans, equivalence studies, confidence and reliability testing and statistical analysis for test method evaluation

  • Self-management skills with a focus on results for timely and accurate completion of competing deliverables

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