Location: Aurora, CO
#:31877 Job Summary: Join the Colorado School of Public Health as a Data Analyst.
This position is a key member of the school's Department of Epidemiology and the Lifecourse Epidemiology of Adiposity & Diabetes (LEAD) Center and will perform statistical analyses and data management in collaboration with trainees and faculty at the LEAD Center.
This individual will also contribute to publication activities under the direction of LEAD Center faculty. The person in this position will work independently and as part of a team in support of LEAD Center research projects. Key Responsibilities: Perform data analyses, including descriptive, exploratory, and multivariable analyses in longitudinal
datasets of varying complexity. Create analytic datasets and implement power calculations for grants and manuscripts. Contribute to publication activities under the direction of LEAD Center faculty.
Assist project managers/directors with creation and implementation of processes/procedures and quality improvement initiatives. Create databases, manage, and clean data collected in studies under the direction of faculty. This is a full-time position and reports the LEAD Center Director, Dana Dabelea. Work Location: Why Join Us: This role is expected to work onsite and is located on the CU Anschutz Medical Campus in Aurora, CO. The LEAD Center is a groundbreaking research center that investigates
and seeks to understand the developmental origins of health and disease, particularly obesity, type 1 and type 2 diabetes and the complex interplay of environmental exposures, genetic and epigenetic processes in critical developmental periods in across the lifecourse.
LEAD scientists work with data from multiple human cohort studies housed within the Center (Healthy Start, Exploring Perinatal Outcomes among CHildren [EPOCH], SEARCH for Diabetes in Youth, Diabetes Prevention Program Outcome Study [DPPOS]), as well as in the context of the Environmental Influences on Child Health Outcomes (ECHO) consortium. Overarching goals of our research are to understand the causes of disease, and ultimately, translate the findings into preventive actions.
The Colorado School of Public Health is a collaborative endeavor involving the University of Colorado Anschutz Medical Campus (CU Anschutz), Colorado State University (CSU), and the University of Northern Colorado (UNC). The Colorado School of Public Health is the first and only accredited school of public health in the Rocky Mountain Region, attracting top tier faculty and students from across the country, and providing vital contributions towards ensuring our region's health and wellbeing. Collaboratively formed in 2008 by CU Denver, CSU and UNC, the Colorado School of Public Health provides training, innovative research and community service to actively address public health issues including chronic disease, access to healthcare, environmental threats, emerging infectious diseases, and costly injuries.
The Colorado SPH aims to build a diverse and representative academic community that recognizes the importance of social, economic, health, and environmental justice. We strive to promote equity, diversity, and to be a model of inclusive excellence. As a tri-campus partnership, Colorado SPH stands with academic, practice, and community partners nationwide to condemn racism, injustice, and inequity.
Please click here to learn more about our equity, diversity, and inclusion commitment statement and plan to dismantle structural racism: /get_redirect. php? id=4802622&target URL=00817562 – Requisition #:31877 Job Summary: Join the Colorado School of Public Health as a Data Analyst. This position is a key member of the school's Department of Epidemiology and the Lifecourse Epidemiology of Adiposity & Diabetes (LEAD) Center and will perform statistical analyses and data management in collaboration with trainees and faculty at the LEAD Center.
This individual will also contribute to publication activities under the direction of LEAD Center faculty. The person in this position will work independently and as part of a team in support of LEAD Center research projects. Key Responsibilities: Perform data analyses, including descriptive, exploratory, and multivariable analyses in longitudinal datasets of varying complexity. Create analytic datasets and implement power calculations for grants and manuscripts. Contribute to publication activities under the direction of LEAD Center faculty.
Assist project managers/directors with creation and implementation of processes/procedures and quality improvement initiatives. Create databases, manage, and clean data collected in studies under the direction of faculty. This is a full-time position and reports the LEAD Center Director, Dana Dabelea. Work Location: Why Join Us: This role is expected to work onsite and is located on the CU Anschutz Medical Campus in Aurora, CO. The LEAD Center is a groundbreaking research center that investigates and seeks to understand the developmental origins of health and disease, particularly obesity, type 1 and type 2 diabetes and the complex interplay of environmental exposures, genetic and epigenetic processes in critical developmental periods in across the lifecourse.
LEAD scientists work with data from multiple human cohort studies housed within the Center (Healthy Start, Exploring Perinatal Outcomes among CHildren [EPOCH], SEARCH for Diabetes in Youth, Diabetes Prevention Program Outcome Study [DPPOS]), as well as in the context of the Environmental Influences on Child Health Outcomes (ECHO) consortium. Overarching goals of our research are to understand the causes of disease, and ultimately, translate the findings into preventive actions.
The Colorado School of Public Health is a collaborative endeavor involving the University of Colorado Anschutz Medical Campus (CU Anschutz), Colorado State University (CSU), and the University of Northern Colorado (UNC). The Colorado School of Public Health is the first and only accredited school of public health in the Rocky Mountain Region, attracting top tier faculty and students from across the country, and providing vital contributions towards ensuring our region's health and wellbeing. Collaboratively formed in 2008 by CU Denver, CSU and UNC, the Colorado School of Public Health provides training, innovative research and community service to actively address public health issues including chronic disease, access to healthcare, environmental threats, emerging infectious diseases, and costly injuries.
The Colorado SPH aims to build a diverse and representative academic community that recognizes the importance of social, economic, health, and environmental justice. We strive to promote equity, diversity, and to be a model of inclusive excellence. As a tri-campus partnership, Colorado SPH stands with academic, practice, and community partners nationwide to condemn racism, injustice, and inequity.
Please click here to learn more about our equity, diversity, and inclusion commitment statement and plan to dismantle structural racism: /get_redirect. php? id=4802622&target URL=statistical analyses and data management in collaboration with trainees and faculty at the LEAD Center. This individual will also contribute to publication activities under the direction of LEAD Center faculty. The person in this position will work independently and as part of a team in support of LEAD Center research projects. Key Responsibilities: Perform data analyses, including descriptive, exploratory, and multivariable analyses in longitudinal datasets of varying complexity.
Create analytic datasets and implement power calculations for grants and manuscripts. Contribute to publication activities under the direction of LEAD Center faculty. Assist project managers/directors with creation and implementation of processes/procedures and quality improvement initiatives. Create databases, manage, and clean data collected in studies under the direction of faculty. This is a full-time position and reports the LEAD Center Director, Dana Dabelea.
Work Location: Why Join Us: This role is expected to work onsite and is located on the CU Anschutz Medical Campus in Aurora, CO. The LEAD Center is a groundbreaking research center that investigates and seeks to understand the developmental origins of health and disease, particularly obesity, type 1 and type 2 diabetes and the complex interplay of environmental exposures, genetic and epigenetic processes in critical developmental periods in across the lifecourse. LEAD scientists work with data from multiple human cohort studies housed within the Center (Healthy Start, Exploring Perinatal Outcomes among CHildren [EPOCH], SEARCH for Diabetes in Youth, Diabetes Prevention Program Outcome Study [DPPOS]), as well as in the context of the Environmental Influences on Child Health Outcomes (ECHO) consortium.
Overarching goals of our research are to understand the causes of disease, and ultimately, translate the findings into preventive actions. The Colorado School of Public Health is a collaborative endeavor involving the University of Colorado Anschutz Medical Campus (CU Anschutz), Colorado State University (CSU), and the University of Northern Colorado (UNC). The Colorado School of Public Health is the first and only accredited school of public health in the Rocky Mountain Region, attracting top tier faculty and students from across the country, and providing vital contributions towards ensuring our region's health and wellbeing.
Collaboratively formed in 2008 by CU Denver, CSU and UNC, the Colorado School of Public Health provides training, innovative research and community service to actively address public health issues including chronic disease, access to healthcare, environmental threats, emerging infectious diseases, and costly injuries. The Colorado SPH aims to build a diverse and representative academic community that recognizes the importance of social, economic, health, and environmental justice.
We strive to promote equity, diversity, and to be a model of inclusive excellence. As a tri-campus partnership, Colorado SPH stands with academic, practice, and community partners nationwide to condemn racism, injustice, and inequity. Please click here to learn more about our equity, diversity, and inclusion commitment statement and plan to dismantle structural racism: coloradosph. cuanschutz. edu/about-us/diversity-inclusive-excellence.
Click the following links to learn more about resources and community engagement opportunities at CU Anschutz through the following networks: LGBTQ+ Hub: www. cuanschutz. edu/offices/diversity-equity-inclusion-community/cu-anschutz-lgbtq-hub Diversity and Health Equity Hub: www. cuanschutz. edu/offices/diversity-equity-inclusion-community/trainings-workshops Community Engagement-North Aurora: www. cuanschutz. edu/offices/diversity-equity-inclusion-community/community-engagement The Office of Disability, Access, & Inclusion: www. cuanschutz. edu/offices/office-of-disability-access-and-inclusion.
Benefits: The University of Colorado offers an excellent benefits package including: Medical: Multiple plan options Dental: Multiple plan options Additional Insurance: Disability, Life, Vision and Wellness Retirement 401(a) Plan: Employer contributes 10% of your gross pay. Paid Time Off: Accruals over the year Vacation Days: 22 Sick Days: 15 Holiday Days: 10 Tuition Benefit: System employees have the benefit on all campuses ECO Pass: RTD Bus and light rail service Additional Perks & Programs: Click to access the CU Advantage , including perks and programs for our employees The University of Colorado offers a comprehensive benefits package that includes health insurance, life insurance, retirement plans, tuition benefits, ECO pass, paid time off – vacation, sick, and holidays and more.
To see what benefits are available, please visit: www. cu. edu/employee-services/benefits-wellness. Diversity and Equity: The University of Colorado 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, persons within the LGBTQ+ community and all veterans.
The University of Colorado is committed to diversity and equality in education and employment. 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 Instructor or Research Associate based on experience and qualifications as indicated below: Research Instructor: Master of Science degree in Biostatistics, Data Science, Bioinformatics, or a recognized field directly related to the duties of this position and research areas of the LEAD Center Experience with SAS, R, Stata, and/or SQL At least 2 years of professional level experience in statistical data analysis.
Experience performing power analyses for observational, clinical, and epidemiologic studies. Experience summarizing results in reports and methods sections of manuscripts. Experience performing data analyses using a variety of statistical techniques within a causal inference framework, including but not limited to regression (linear, logistic, mixed-effects and multi-level modeling) and survival (Cox proportional hazards, competing risks models) analyses.
Research Associate: A doctoral degree in statistics/biostatistics, epidemiology, or field relevant to LEAD Center research areas. At least 3 years of professional level experience in statistical data analysis. Experience with SAS, R, Stata, and/or SQL Experience independently developing analytic plans, including calculating sample sizes, defining outcome variables and covariates to be used, and determining specific statistical methods to employ. Experience performing power analyses for observational, clinical, and epidemiologic studies. Experience summarizing results in reports and methods sections of manuscripts.
Scientific or technical writing skills through peer-reviewed publications. Experience performing data analyses using a variety of statistical techniques within a causal inference framework, including but not limited to regression (linear, logistic, mixed-effects and multi-level modeling) and survival (Cox proportional hazards, competing risks models) analyses, and/or genomics/epigenomic analyses. Preferred Qualifications: Demonstrated experience in data management, including use of REDCap and/or SQL for database creation, cleaning, management and maintenance.
Demonstrated experience in data analysis, including developing analytic proposals, conducting descriptive and multivariable analyses, and performing power calculations using standard statistical software packages (e. g. SAS, Stata, R). Strong scientific or technical writing skills through peer-reviewed publications. 5+ years of experience performing data analyses using a variety of statistical techniques within a causal inference framework, including but not limited to regression (linear, logistic, mixed-effects and multi-level modeling) and survival (Cox proportional hazards, competing risks models) analyses, and/or high-dimensional data analyses.
Experience mentoring students and trainees in statistical techniques, scientific or technical writing skills through peer-reviewed publications, and/or grant writing. Knowledge, Skills, and Abilities: Ability to communicate effectively, both in writing and orally. Ability to establish and maintain effective working relationships with employees at all levels throughout the institution. Ability to administer, effectively plan, organize, and direct a wide variety of management and support services with an emphasis on financial systems areas.
Outstanding customer service skills. Demonstrated commitment to advance diversity and inclusion. How to Apply: Research shows that women and other underrepresented and historically marginalized groups tend to apply only when they check every box in the posting. If you are reading this and hesitating to click " apply" for that reason, we encourage you to go for it! 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. Three to 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: Anna Bellatorre, Screening of Applications Begins: Applications will be accepted until finalists are identified, but preference will be given to complete applications received by December 4, 2023. Those who do not apply by December 4, 2023 may or may not be considered. Anticipated Pay Range: The starting salary range ( or hiring range ) for this position has been established as HIRING RANGE: Research Instructor: $70,000 - $90,000 Research Associate: $80,000 - $110,000 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: /get_redirect.
php? id=4802622&target URL=Research Instructor: $70,000 - $90,000 Research Associate: $80,000 - $110,000 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: /get_redirect.
php? id=4802622&target URL=Research Associate: $80,000 - $110,000 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 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 ound 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.
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