ALS Research Statistician
What You'll Do
We are searching for a statistician or biostatistician to work with a dynamic amyotrophic lateral sclerosis (ALS) research group comprised of neurologists, immunologists, basic scientists, biostatisticians, environmental scientists, epidemiologists, bioinformaticians, and data managers. This individual will be working with multiple datasets, including longitudinal clinical data, immunophenotyping, environmental exposure data, and various –omics datasets, e.g. genomic, transcriptomic, metabolomic, and epigenomic.
The statistician will work closely with the research team to:
Provide guidance for study design issues.
Perform power calculations and estimating sample size.
Write, test, and implement programs using R, Stata, or SAS to clean, manage, merge, and analyze large, complex datasets.
Implement methods to ensure data quality and replication of results.
Develop and draft specific plans for data management and analysis.
Conduct appropriate data management and analysis.
Conduct computer programming as needed for completion of other tasks.
Prepare and maintain technical documentation of data management and analysis files.
Summarize, interpret, and present results in written, tabular and visual formats.
Assist in the writing and reviewing of statistical methods in manuscripts and grant proposals.
Prepare annotated statistical code and logfiles for submission with manuscripts to journals.
Participate as a team member in discussions on data collection, management, and analysis.
Other duties as assigned.
Skills You Have
Comfort with longitudinal data analysis and –omics data is a must. Experience with the analysis of chemical mixtures, machine learning, and artificial intelligence is a plus.
Bachelor’s degree in biostatistical, statistical, or related field.
1-3 years' processional experience.
Ability to draft and do data management and analysis plans based on study design.
Ability to solve problems with data management and analysis.
Working knowledge of concepts and methods in epidemiology and biostatistics.
Experience working with complex data structures and linkages between data sources.
Strong programming knowledge using high-level programming language
Proven ability to write clear and concise technical documentation, summaries of various methodologies, and descriptions of statistical results.
Excellent communication, both oral and written in the English language.
Ability to prioritize, organize, and efficiently work on multiple projects at the same time.
Flexibility and ability to work independently and collaboratively with multiple researchers.
Ability to be consistently and extremely detail-oriented.
Advanced degree (PhD) in biostatistical, statistical, or related field.
Desire to learn new programming and statistical skills
Familiarity with medical terminology
Experience with the analysis of chemical mixtures, machine learning, and artificial intelligence
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U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.