Guidehouse
MathematicalStatistician
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Mathematical Statistician at Guidehouse. Skills: Mathematical statistics, Statistical analysis, Data analysis. Collaborate with investigators on design. Collaborate with investigators on conduct”
Industry & Context.
Resolve technical problems
Ability to Obtain Public Trust
What They're Looking For.
Must Have
PhD in statistics or related field, Master's degree plus 3 years statistical data analysis experience, Experience with R or S+, Experience with Python, Experience with SAS, Significant experience in large-scale data analysis, Ability to obtain Public Trust clearance
Nice to Have
Candidates with active public trust or suitability are preferred, Knowledge of Microsoft 365
What You'll Do.
Collaborate with investigators on design
Collaborate with investigators on conduct
Collaborate with investigators on interpretation
Collaborate with investigators on analysis
Prepare data for presentation
Prepare results for presentation
Prepare data for publication
Prepare results for publication
Validate scientific theories
Modify scientific theories
Validate methodologies
Apply conventional approaches
Apply established methods
Apply established techniques
Apply established solutions
Develop new analytical techniques
Develop new hypotheses
Develop new approaches for studies
Provide statistical consultation
Collaborate with scientists
Select methods of study design
Select methods of data collection
Select methods of summary
Select methods of analysis
Implement methods of study design
Implement methods of data collection
Implement methods of summary
Implement methods of analysis
Apply statistical techniques
Work with investigators to turn objectives into hypotheses
Determine data allow hypotheses to be tested
Evaluate methodologies used
Ensure results are valid
Ensure results are reliable
Resolve technical problems in data collection
Assist in development of quality control procedures
Assist in implementation of quality control procedures
Assist in development of study-monitoring procedures
Assist in implementation of study-monitoring procedures
Contribute to initiation of research projects
Participate in branch data discussions
Participate in branch results discussions
Contribute to writing scientific papers
Contribute to editing scientific papers
Keep abreast of statistical developments
Attend professional meetings
How You'll Work.
Team & Collaboration
Collaborate with investigators; Collaborate with scientists
Communication Scope
Oral communication; Written communication
Full Job Description
**_Job Family_ :** Research Analyst ** _Travel Required_ :** None ** _Clearance Required_ :** Ability to Obtain Public Trust ** _What You Will Do_ :** We are currently searching for Mathematical Statistician to support the overall operational objectives of the National Heart, Lung, and Blood Institute (NHLBI) through the provision of support services. This is a full-time, on-site opportunity in Bethesda, MD. * Collaborate with investigators on the design, conduct, interpretation, and/or analysis of direct-data projects to answer questions regarding heart, lung, and blood diseases and major risk factors to account for previously unexplained phenomena and/or open significant new avenues for further study. * Prepare data and/or results for presentation and/or publication in collaboration with investigator(s). * Validate or modify scientific theories or methodologies relating to topic areas to result in improved understanding of techniques or medical practice. * Apply conventional, established approaches, methods, techniques, and solutions to new situations or develop new analytical techniques. * Develop new hypotheses and approaches for studies using state-of-the-art methods as appropriate. * Provide expert statistical consultation to and collaborate with scientists within the NHLBI and associated research groups. * Select and implement appropriate methods of study design, data collection, summary, and analysis in the biological and medical sciences. * Apply a variety of statistical techniques such as analysis of variance, probability, regression analysis, contingency tables, survival analysis, tests of significance, confidence intervals, and sample size requirements for clinical data. * Work with investigators to turn general research objectives into well-defined scientific and testable statistical hypotheses. Determine whether the available data or the data to be collected will allow the hypotheses to be tested. * Evaluate methodologies used and ensure results are va
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