FELLOW, POST DOCTORAL, STATISTICIAN

Job Title: FELLOW, POST DOCTORAL, STATISTICIAN
Location: St. Louis
Full/Part Time: Full-Time
Job ID: 42589
Hiring Department

Research & Eco Comm Dev

Job Description

Under the direction of the Vice Chancellor for Research, Economic & Community Development, the Statistician will provide statistical consulting and training to UMSL faculty across six colleges and research centers on a fee for service basis. You will provide consultation and assistance to faculty in preparing grant applications and manuscripts, study design, selection of appropriate research methodology, and power and sample size calculations. In addition, you will provide guidance and help using statistical software packages for data analysis and data visualization. This may include by is not limited to, quantitative and qualitative analyses, mixed methods, clinical trials, meta-analyses, systematic reviews, observational studies, or surveys.

In this position, you will have the ability to translate complex statistical ideas or methods and to effectively communicate with researchers about the underlying assumptions of the methods being used, interpretation of findings, and strengths and limitations of selected methods. You will focus on the application of statistical methods to support grant applications and manuscripts toward advancing scientific research and increasing the likelihood of funding of various projects across multiple colleges at the University of Missouri-St. Louis. You will receive postdoctoral mentoring from social sciences faculty through an advisory committee structure.

The qualified candidate will:

  • Provide outstanding statistical consulting support to investigators to determine their needs with respect to study design, statistical methods, sample size and statistical power, data analysis and presentation
  • Carry out appropriate methodological procedures for statistical analysis of data, ranging from descriptive statistics to exploratory data analyses to causal inference.
  • Meets regularly with study investigators and teams, working collaboratively to secure extramural funding
  • Write, test, document, and implement computer code and syntax using standard programs that perform simple and complex statistical analyses and other computations
  • Communicate with investigators at collaborating institutions regarding data analysis issues; determine appropriate analysis techniques for answering the questions of interest; communicate results to investigating research in writing
  • Assist in judging the validity of data obtained and recommend additional tests and/or modifications to the analysis
  • Consult with faculty on the selection and use of appropriate statistical methods and statistical software such as STATA, SAS, SPSS, R for quantitative analyses, including ANOVA, MANOVA, regression, difference in difference, generalized linear models, GEE, discriminant analyses, decision trees, time-series, analyses, structural equation modeling, multi-level modeling, etc.
  • Assists faculty in preparing sections of grant proposals, reports, presentations, and advanced data visualization related to statistical analyses
  • Conducts workshops and professional development sessions for faculty, staff, and/or students on statistical methods, data analysis and visualization, and related topics to increase the analytic capabilities of research teams across colleges here to enter the job description.
Qualifications

A PhD in Statistics, Biostatistics, Applied Data Science, Quantitative psychology, Econometrics, or related social sciences with specialization in statistical applications.

Knowledge, Skills, and Abilities:

  • Proficiency in statistical programing languages such as R, SAS, SPSS, STATA and/or other reporting and statistical software
  • Experience with use of SAS/STATA/R or related statistical software to navigate relational databases and data step programming to perform data manipulation as needed for statistical analysis and or data presentation
  • Experience with Bayesian statistical methods and analyses
  • Demonstrated skills to develop statistical analysis plans, determine power calculation and sample size analysis, as well as analyze and interpret statistical data and provide final reports
  • Outstanding ability to communicate complex information to both technical and non-technical audiences
  • Strong interpersonal skills to consult with researchers and to understand their research and statistical consulting needs
  • Excellent analytical and problem-solving skills
  • Experience with or capacity to work with complex survey data, longitudinal data analysis, and advanced analytical methods
  • Experience or capacity to work with data management of administrative claims data, electronic health records, and other large datasets desirable
  • Strong written and verbal communication skills including experience preparing and presenting reports
  • Demonstrated record of successfully delivering projects on time and managing multiple projects on time
  • Ability to use web based scholarly search engines including PubMed and Google Scholar
  • Knowledge of SQL and capacity for using it for basic data import and export
Application Materials

Application materials should include a letter of interest, curriculum vita, an diversity statement, and a minimum of three references.

If you have questions regarding this position, please contact Jodi Woodruff, PhD at [email protected]

Other Information

The University of Missouri-St Louis (UMSL) is a vibrant, urban institution and the only public research university in eastern Missouri. Designated as a doctoral university with high research activity, UMSL is home to nationally ranked programs in Criminal Justice, Nursing, Psychology, and Business and to the nationally regarded Missouri Institute for Mental Health. UMSL's world-class researchers activitely collaborate across disciplines to generate new knowledge and translate research into practice to improve people's lives in real and tangible ways. The institution provides an outstanding environment for a postdoctoral researcher in statistics to gain experience in working with social science and clinical researchers working in diverse areas including AIDS, addiction, health disparities, racial equity, trauma, PTSD, policing, and justice reform.

It is an exciting time to become a part of the UMSL community! UMSL is in the midst of major transformative growth as it reimagines its academic core on its North campus and redisgns its South Campus as a hub of health innovation, business and workforce development. Join our growing team and become an integral part of this exciting transformation by working with faculty to catalyze increased multi-disciplinary research funding. As a community-engaged institution and anchor institution, there are ample opportunities to work with faculty to advance a variety of use inspired and community-based research projects.

As one of the most culturally and ethnically diverse campuses in Missouri, UMSL is committed to maintaining a climate where all students, faculty, staff and visitors can explore their interests, refine their talents and flourish. Inclusive excellence is embedded in our strategic plan which focuses on actions to recruit and retain diverse students and employees and promote activities that encourage civil and constructive discourse, reasoned thought and sustained dialogue in an environment of inclusion, respect and appreciation. The Office of Research, Economic and Community Development values collegiality, collaboration, and curiosity. We strive to create an environment where our faculty and students can thrive. In order to foster the knowledge and talent required to tackle the modern world, it is essential to have a variety of voices, perspectives, backgrounds, and experiences at the table.

Benefit Eligibility

The University of Missouri - St. Louis offers benefit-eligible employees a wide variety of benefits including: health, dental and vision coverage effective on the first day of employment, retirement, paid time off, tuition assistance for employees and their dependents and employee and dependent life insurance. For more information about our benefits, please visit:

https://www.umsystem.edu/totalrewards/benefits

Diversity Commitment

Equal Opportunity is and shall be provided for all employees and applicants for employment on the basis of their demonstrated ability and competence without unlawful discrimination on the basis of their race, color, national origin, ancestry, religion, sex, pregnancy, sexual orientation, gender identity, gender expression, age, disability, protected veteran status, or any other status protected by applicable state or federal law. This policy shall not be interpreted in such a manner as to violate the legal rights of religious organizations or the recruiting rights of military organizations associated with the Armed Forces or the Department of Homeland Security of the United States of America.

EEO IS THE LAW

To read more about Equal Employment Opportunity (EEO) please use the following links:

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