Data Analytics Research Assistant Jobs in Colorado

University of Colorado Anschutz

Department: Emergency Medicine

Job Title: Open Rank-Research Scientist, Senior Research Scientist

Position #00830859 - Requisition # 40758

Job Summary:

The incumbent filling this position will serve at the rank of Research Scientist or Senior Research Scientist and will lead statistical and epidemiologic analyses of clinical data. This is a full-time (1.0 FTE) faculty position in a fast-paced research lab with long-term, stable federal grant funding. Work will occur on campus (in-person).

The incumbent will be a full-time member of the Cape-Colorado-Combat (C3) Global Trauma Network Lab and will support research related to trauma and emergency medicine, primarily in South Africa. The incumbent will work under supervision of the C3 Lab Principal Investigator (PI), alongside a highly collaborative multi-disciplinary team of clinician-investigators, doctoral-level biostatisticians, Masters-level analysts and programmers, a program manager, professional research assistants, and other research staff.

The successful candidate will have relevant expertise in biostatistics, epidemiology, or health data sciences. They will have a passion for collaborative research (team science) and will contribute to study design, statistical analysis, and scientific writing in the lab. Specific tasks will include (although not limited to) designing and writing statistical analysis plans, conducting advanced statistical analysis in SAS or R, and supporting the presentation and publication of results. In addition, the candidate should be able to work independently, manage a portfolio of concurrent projects, and have strong communication skills.

The job is in-person and duties will be performed on the University of Colorado Anschutz Medical Campus in Aurora, CO.

Domestic travel may be intermittently required to attend domestic scientific conferences/meetings or to present to stakeholder groups. International travel is not required but is recommended to help improve the incumbent's understanding of the foreign context and health system where the research takes place.

Key Responsibilities:

         Provide biostatistical expertise and leadership in study design, study oversight, data management, data analysis, and manuscript preparation;

         Collaborate with clinician-investigators, Emergency Medicine research faculty and staff to develop scientifically rigorous analytic plans that address clinically relevant research questions;

         Conduct advanced statistical analysis in SAS or R. Specific methods will include causal inference, survival analysis, longitudinal data analysis, machine learning, and clinical trials. Experience with genomic/metabolic analyses is not required;

         Produce high-quality visual representations of data and results;

         Clearly communicate statistical methods and statistical findings to a multi-disciplinary team;

         Collaborate with other research team members to co-author and first-author abstracts, oral and poster presentations, and scientific manuscripts;

         Support, mentor, and collaborate with junior research staff to strengthen the lab's data collection, data management, and data curation practices;

         Develop relevant subject-matter expertise, become a significant contributor in collaborations, and shape the research direction of the team.

Compared to the Research Scientist, the Senior Research Scientist will:

         Develop and conduct more complex analyses;

         Exercise more autonomy in duties;

         Assume larger managerial roles in mentoring and supervising other C3 Lab staff involved in data analyses, such as junior statisticians, data analysts, and research assistants;

         Collaborate on grant application writing, including study design, analysis plans, and sample size calculations.

The duties of this position may change from time to time and/or based on business needs. We reserve the right to add or delete duties and responsibilities at the discretion of the supervisor and/or hiring authority.

Work Location:

Onsite - this role is expected to work onsite and is located in Aurora, Colorado.

Why Join Us:

The Department of Emergency Medicine conducts ground-breaking research into areas such as trauma, injury prevention, global health, opioid misuse, critical care, mental health, pharmacogenomics, toxicology, and healthcare policy.  The Department values team members who are eager to pursue further training and exciting career growth as a researcher and professional. 

The C3 Global Trauma Network, led by principal investigator (PI) Dr. Nee-Kofi Mould-Millman, MD PhD MSCS, seeks to generate high-quality evidence to improve trauma and injury care in resource-constrained settings. The C3 Network is comprised of multi-disciplinary collaborators from the United States and South Africa, and its work is designed to benefit both global civilian and US military populations. Through observational and interventional research, the C3 Network seeks to improve outcomes for the most critical trauma patients, including those experiencing major bleeding, major head injuries, or injuries from severe mechanisms such as gun violence or car crashes. The C3 Network has a strong track record of NIH and U.S. Department of Defense funding and dozens of published peer-reviewed manuscripts and scientific presentations.

The C3 Lab is the scientific core of the C3 Network and serves as the Network's data and analytic hub. The C3 Lab operates within the Department of Emergency Medicine and is located on the Anschutz Medical Campus in Aurora, Colorado. The C3 Lab is comprised of a program manager, data managers, coders/analysts/programmers, professional research assistants, and other clinician-investigators who all work on-site. The Lab fosters a highly productive and collaborative environment and is strongly committed to conducting rigorous and high-quality research.

The C3 Lab is not a "wet lab." We analyze epidemiologic and clinical data. We do not conduct bench research.

Why work for the University?

We have AMAZING benefits and offer exceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including:

         Medical: Multiple plan options

         Dental: Multiple plan options

         Additional Insurance: Disability, Life, Vision

         Retirement 401(a) Plan: Employer contributes 10% of your gross pay

         Paid Time Off: Accruals over the year (based on percentage of time)

         Vacation Days: 22/year (maximum accrual 352 hours)

         Sick Days: 15/year (unlimited maximum accrual)

         Holiday Days: 11/year

         Tuition Benefit: Employees have access to this benefit on all CU campuses

         ECO Pass: Reduced rate RTD Bus and light rail service

There are many additional perks & programs with the CU Advantage.

Qualifications:

Minimum Qualifications:

Applicants must meet minimum qualifications at the time of hire.

This is an open rank position and could be categorized as Research Scientist or Senior Research Scientist based on experience and qualifications as indicated below:

Open Rank: Rank at the time of appointment will be based on the candidate's demonstrated contributions and experience in teaching, clinical, research, and/or service to the field. We welcome applicants with a range of backgrounds and accomplishments and encourage individuals to highlight the breadth and depth of their professional impact. Learn more about faculty tracks at the Office for Faculty Affairs.

Research Scientist:

         Doctoral Degree in Statistics, Biostatistics, Epidemiology, health-related data science, or related field.

         At least two years of experience working in an academic medical or research setting (post-doctoral training period may be counted towards the two years' experience).

         1 or more publication as co-author or named collaborator

         Strong programming skills in SAS and/or R.

Senior Research Scientist:

         Doctoral Degree in Statistics, Biostatistics, Epidemiology, health-related data science, or related field.

         At least four years of experience working in an academic medical or research setting (post-doctoral training period may be counted towards the three years' experience).

         3 or more publications as co-author or named collaborator

         Experience preparing grant applications

         Strong programming skills in SAS and/or R.

Preferred Qualifications:

         At least five years of experience working in an academic medical or research setting

         Methodologic expertise in several of the following: Causal inference, survival analysis, longitudinal data analysis, machine learning, geographic information systems (GIS), and clinical trials

         Prior experience curating analytical datasets from clinical data sources (e.g. EMR, EHR, or abstracted clinical records) to conduct clinical research

         Previous experience identifying and applying novel quantitative approaches to solve complex analytic problems

         Prior success collaborating as a statistician and/or methodologist on a multi-disciplinary team

         Strong interest or previous experience working in global health, emergency care, or trauma-related research

         Experience in presenting at seminars and scientific meetings

         Demonstrated ability to develop and manage timelines for multiple research projects simultaneously

         Equivalent combination of education, training, and experience that provides the individual with the required knowledge, skills and abilities

Knowledge, Skills and Abilities:

         Highly self-motivated

         Strong written and oral communication skills

         Proactive communicator

         Strong organizational skills

         Good interpersonal skills

         Ability to think creatively and work independently

         Effective team player

         Positive attitude

         Ability to solve complex problems

         Effective project management and time management skills with ability to manage multiple projects or requests simultaneously

         Strong knowledge of basic statistical principles relevant in medical research

         An innate desire to learn

Conditions of Employment:

Applicants must be legally authorized to work in the United States without requiring sponsorship. We are unable to provide work visa sponsorship or employment authorization for this position now or in the future.

How to Apply:

For full consideration, please submit the following document(s):

1.    A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position

2.    Curriculum vitae / Resume

3.    Five professional references including name, address, phone number (mobile number if appropriate), and email address

Applications are accepted electronically ONLY at www.cu.edu/cu-careers.

Questions should be directed to: EMED Human Resources at emed.humanresources@ucdenver.edu

Screening of Applications Begins:

This position may be seeking multiple candidates. Positions will remain open until filled. Applications will be reviewed as they are received, and candidates may be contacted for interviews throughout the posting period. Upon candidate(s) selection, the posting will be closed, and no further applications will be accepted.

Anticipated Pay Range:

The starting salary range (or hiring range) for this position has been established as HIRING RANGE:

Research Scientist: starts at $90,000 and goes up from there based on years of experience.

Research Senior Scientist: starts at $100,000 and goes up from there based on years of experience.

The above salary range (or hiring range) represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. This position is not eligible for overtime compensation unless it is non-exempt.

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.

Total Compensation Calculator: http://www.cu.edu/node/153125

Equal Employment Opportunity Statement:

The University of Colorado (CU) is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.

ADA Statement:

The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at hr.adacoordinator@ucdenver.edu.

Background Check Statement:

The University of Colorado Anschutz Medical Campus 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.

Vaccination Statement:

CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases. If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if y...