Research Instructor or Senior Research Instructor

Job description


Anschutz Medical Campus

Colorado School of Public Health

Department of Biostatistics and Informatics

Center for Innovative Design and Analysis


The University of Colorado Denver l Anschutz Medical Campus seeks individuals with demonstrated commitment to creating an inclusive learning and working. We value the ability to engage effectively with students, faculty and staff of diverse backgrounds.


This is a team science position in the Department of Biostatistics and Informatics. This person will join a growing group of master's and doctoral trained collaborative and consulting biostatisticians. The collaborative work for this position is split between the Center for Innovative Design and Analysis (CIDA) consulting branch and major collaborative research groups. CIDA is a campus wide analytics center charged with expanding the analytics expertise and research for the Anschutz Medical Campus. The consulting work and collaborative research groups for this position focus on integration of different computational biology and ‘omics data sources and developing pipelines for ‘omics data such as proteomics, metabolomics, methylation, RNA-seq, single cell sequencing, among other platforms.

This position will join 9 other master's trained and a dozen doctoral trained faculty in CIDA and over two-dozen faculty and research personnel in the Department of Biostatistics and Informatics. Research instructors interact and collaborate with health researchers on their basic science, clinical, and health science research projects.

A research instructor is expected to provide high-level, professional and scientifically rigorous design and analysis support to biomedical researchers at CU Anschutz. Research Instructors generally work under the direction of one or more doctoral level biostatisticians. Over time they are expected to work more independently and apply more advanced methodologies to solve analytic challenges. The research instructor in this position will consult and collaborate with investigators on all aspects of the research process, including: design of new studies (sample size and analysis planning), data management, data pre-processing, complex programming, analysis implementation and data visualization, and dissemination of results. This individual is expected to co-author abstracts, oral and poster presentations, and scientific manuscripts.

A senior research instructor will be expected to work independently with research groups and mentor and supervise more junior analysts, data managers, and graduate students in CIDA. The senior research instructor may be the lead biostatistician for some groups and exhibit their team science contributions through submission of applied abstracts and perhaps lead on collaborative publications.


The Research Instructor/Senior Research Instructor position in CIDA will be supervised by the CIDA Director and indirectly by the lead of the collaborative group.


This position may have supervisory responsibilities with graduate Research Assistants seeking MS degrees (RAs) and Professional Research Assistants (PRAs).


In addition to the work of a research instructor, a senior research instructor will conduct more complex analyses, work more independently, and at times investigate the usefulness of newer methodologies to solve the analytic challenges facing their groups. They will spend more time on study design and data analysis rather than data wrangling/management. A senior research instructor will also mentor and supervise junior master's trained faculty and graduate students.


  • Strong knowledge of statistical and/or computational biology principles relevant in medical research.
  • Ability to analyze and solve complex problems and apply quantitative analytical approaches.
  • Ability to investigate the properties of statistical/computational methodology through simulation or other means.
  • Strong programming skills in multiple languages including several of Java, C++, Scala, R, Perl, Python, Bash, C, or others
  • Strong programming skills in a common statistical software package (such as SAS, R).
  • An ability to work with high performance computing environments and cloud computing.
  • Good organizational skills across multiple projects, managing own work load, self-directed.
  • Excellent written and verbal communication skills.
  • Positive attitude and the ability to work with a variety of biomedical investigators and colleagues.
  • Ability to contribute to the growth and development of the CIDA and the Department.


Salary is commensurate with skills and experience. The University of Colorado offers a full benefits package. Information on University benefits programs, including eligibility, is located at Employee Services.

The University of Colorado Denver is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees.

The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work. Alternative formats of this ad are available upon request for persons with disabilities.

Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line.


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The University of Colorado Denver | Anschutz Medical Campus is committed to recruiting and supporting a diverse student body, faculty and administrative staff. The university strives to promote a culture of inclusiveness, respect, communication and understanding. We encourage applications from women, ethnic minorities, persons with disabilities and all veterans. The University of Colorado is committed to diversity and equality in education and employment.



  • An MS in biostatistics, bioinformatics, computer science, mathematics, computational biology, or a related field
  • Strong programming skills in a common statistical software package (e.g. SAS, R).
  • Strong programming skills in multiple languages including several of Java, C++, Scala, R, Perl, Python, Bash, C, or others
  • At least 2 years of experience as an analytic consultant/collaborator.

For Senior Research Instructor additional requirements include:

  • At least 6 years of post-graduate experience as an analytic consultant/collaborator.
  • Evidence of independence/leadership on research teams.


  • Experience with data management and integration of data sources.
  • Experience writing reproducible data processing pipelines.
  • 3+ years of post-graduate research experience as an analyst.
  • Experience serving as a data analyst or computational biologist on multiple projects.
  • Demonstrated ability to successfully contribute to the analytic elements of multiple projects simultaneously.
  • Or equivalent combination of education, training, and experience that provides the individual with the required knowledge, skills and abilities.

Special Instructions to Applicants:Questions should be directed to Jaron Arbet, PhD, at [email protected]

Application Materials Required:Cover Letter, Resume/CV, List of References

Application Materials Instructions:A review of the application material will begin immediately and continue until the position is filled. Applicants must apply online at Please do not submit any of your application material via email to the job posting contact. Applicants Must Include: 1. A cover letter which specifically addresses the job requirements and outlines qualifications 2. A current CV/resume 3. The names, addresses, daytime telephone numbers and e-mail addresses for three to five professional references in a separate document.

Job Category: Faculty

Primary Location: Aurora

Department: H0001 -- Anschutz Medical Campus - 21419 - CSPH-Bio Info General Ops

Schedule: Full-time

Posting Date: Dec 6, 2018

Closing Date: Ongoing

Posting Contact Name: Jaron Arbet, PhD

Posting Contact Email: [email protected]

Position Number: 00756791





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Job No:
Posted: 12/7/2018
Application Due: 2/5/2019
Work Type: