Research Associate in Statistical Training and Consulting

Michigan State University

United States

Research Associate-Fixed Term

Apply now Job no: 694187
Work type: Faculty/Academic Staff
Major Administrative Unit / College: Research And Innovation
Department: Ctr For Statistical Training Consulting 10059650
Sub Area: FAS- Fac./Acad Staff
Salary: 53000.00-60000.00 Salary Commensurate with Experience
Location: East Lansing
Categories: Fixed Term Academic Staff, Research/Scientific, Non-Union, Full Time (90-100%)

Working/Functional Title

Research Associate (Postdoctoral Researcher) Fixed Term

Position Summary

The MSU Center for Statistical Training and Consulting (http://cstat.msu.edu/) is part of Michigan State University’s infrastructure for facilitating excellence in research. CSTAT invites applications for a Research Associate (postdoctoral research) with anticipated start date July 1, 2021 (an alternative start date may be negotiated).  Candidates must have a Ph.D. in Statistics, Biostatistics, Computer Science, or a quantitative STEM field (e.g. Social Sciences, Natural Sciences) by the start of the appointment, or show evidence that they will receive their degree within six months of that start date. 

Candidates must have demonstrated excellence in research in statistics or closely related fields and a proven record of self-motivated research. Experience and interest in scientific computing is required. Strong interpersonal skills and written and oral communication skills, including proficiency with the English language, are essential.

Specific anticipated research topics are one of the following: high dimensional data analysis, physiology and wearable technologies, text mining, natural language processing, Bayesian modeling.

Successful candidates will:

  • apply statistical, computational, and scientific expertise to the design, implementation, research data management and analysis, interpretation, and reporting of original research studies;
  • participate in developing or delivering CSTAT workshops to the general University audience;
  • work with collaborative research teams on research projects of interest to Professor Marianne Huebner or Dr. Wenjuan Ma. Collaborations with other MSU research teams will be possible and encouraged. Successful candidate will also be given opportunities to pursue their own research agendas and participate in writing grant proposals. 

The expected duration of this postdoctoral position is 2 years subject to satisfactory progress and can be extended depending on funding.

Equal Employment Opportunity Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.

Required Degree

Doctorate -Statistics, Biostatistics, or quantitative field

Minimum Requirements

  • The job requires a Ph.D. in Statistics, Biostatistics, Computer Science, or a quantitative field (e.g. Social Sciences, Natural Sciences);
  • excellent programming skills in a statistical software, e.g. R or Python;
  • a strong background in statistical modeling; or an equivalent combination of education and experience.
  • Strong interpersonal skills and written and oral communication skills, including proficiency with the English language, are essential.

Desired Qualifications

  • Two or more years of experience using at least one major statistical software program (e.g. R, Python, SAS, STATA, or others);
  • ability to evaluate data quality and improve metadata aspects using common statistical software programs;
  • track record demonstrating success in collaborative research projects and report writing;
  • two or more years of experience in statistical collaboration and data analysis; ability to manage multiple projects simultaneously;
  • experience preparing instructional materials on statistical methods, tools, and practices, or experience teaching audiences how to apply them;
  • highly self-motivated, excellent organizational and project management skills.

Required Application Materials

  • Cover Letter
  • CV
  • 3 References

Review of Applications Begins On

03/12/2021

Website

https://cstat.msu.edu/

Department Statement

MSU is an affirmative action, equal opportunity employer and is committed to achieving excellence through cultural diversity. The university actively encourages applications and/or nominations of women, persons of color, veterans, and persons with disabilities. Job applicants are considered for employment opportunities and employees are treated without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

CSTAT is a unit within the Office of Research and Innovation at MSU, and has a proud tradition of collaborating with internationally renowned research faculty and external clients (government agencies, businesses, non-profit organizations). CSTAT provides employees with a diverse, challenging set of duties that foster learning new skills and knowledge and a collegial environment where employees regularly share information, ideas, resources, and solutions to problems. CSTAT invests in employees by providing on-the-job training, mentoring, and coaching; and providing financial support for professional development.

MSU Statement

Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.

Advertised: Feb 26, 2021 Eastern Standard Time
Applications close: Feb 26, 2023 Eastern Standard Time


In your application, please refer to Professorpositions.com

FACEBOOK
TWITTER
LINKEDIN

amsterdam uni

antwerp uni

cambridge uni

florida uni

hamburg uni

harvard uni

hiroshima uni

oslo uni

purdue uni

ryerson uni

shanghai jiao tong uni

stockholm uni