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Lead Data Scientist Statistician - AV Safety Data Analysis (GPSSC)
80238 Denver, Colorado
General Motors
Posted 1 day ago
Job Viewed
Job Description
**Job Description**
**Work Arrangement**
**Remote:** This role is categorized as remote. This means the successful candidate may be based anywhere in the United States and is not expected to report to a GM worksite unless directed by their manager.
**Company Vehicle:** Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
**The Role**
The Lead Data Science Statistician - AV Safety Data Analysis will drive the statistical methods used to development and evaluation of autonomous vehicle (AV) performance safety metrics ranging from straightforward to advanced machine learning outputs. This position is part of the Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department in the Global Product Safety, System, and Certification (GPSSC) organization. The SAFE-ADS department serves as the central body for automated driving system (ADS) safety. GM's vision is zero crashes, zero emissions, and zero congestion - AV safety is at the heart of driving forward this vision. If you seek to solve complex data science challenges and see your work drive positive safety change, this role is for you.
The ideal candidate will be an expert in data science, statistical modeling, and data development across the entire data maturity curve. They will have experience in automative, safety, and/or robotic industries and understand how to integrate physics and engineering into the foundational statistical methods and approaches. The technical leader is a self-starter and comfortable solving ambiguous problems. They are passionate about data and creating valuable insights that drive continuous safety improvements and confidence in the system.
As a technical leader in the SAFE-ADS data science team, you will provide robust statistical expertise and guidance, weigh alternatives, and explain the different approaches to senior leaders. You will address safety assurance related questions related to ADS behavioral performance and validation. This role involves working with large-scale data generated by the ADS system. One of the key elements is to scale data science work and accelerating time-to-delivery in insights which requires the integration of physics and engineering principles. As a leader, you'll play a key role in defining and advancing GM's AV quantitative measurement and risk assessment efforts. Your work will contribute to enhancing and scaling our existing safety risk assessment framework and help to ensure coverage of our operational design domain, foundational components of the overall safety case that guides decision-making and drives engineering across the entire AV technology stack.
**What You'll Do (Responsibilities)**
+ Develop and standardize best practices of statistical estimations and uncertainty model for use in ADS safety risk assessment framework
+ Work with the team to develop and implement scalable ADS performance measurement solutions to help ensure safe and compliant on-road behavior and build confidence in the results
+ Use an iterative method of development to share early results, identify emerging risks, and provide ongoing guidance
+ Assess bias estimation and subsampling strategies used by system engineering
+ Support Data Engineering and Software & Services (S&S) in the develop and automate pipelines and tooling of the measurement and risk framework
+ Conduct statistical analysis to evaluate ADS driving software aggregate measures
+ Raise the bar for on-road safety by continuously improving safety and AV measurement, and developing a feedback loop for software improvements
+ Collaborate across various AV development teams, including GPSSC, S&S, Data Engineering, and Legal organizations
+ Stay up to date on industry trends and advancements in data science and AI/ML to drive innovation within the team and cross-functionally
**This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate**
**Your Skills & Abilities (Required Qualifications)**
+ M.S. degree in quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.)
+ 8+ minimum years of overall relevant experience, 5 years of which should be experience as a Data Scientist and/or Statistician in a corporate or government setting
+ Expertise in statistical modeling, machine learning and/or deep learning techniques
+ Prior experience with causal inference using instrumented variables and other forms of multifactor attribution methods
+ Expertise generating insights from multiple large-scale datasets
+ Proficiency in SQL and Python
+ Experience with data visualization tools and techniques
+ Collaborative team player and excellent communication and interpersonal skills, with ability to engage effectively with technical and non-technical stakeholders
+ Strong business consulting skills; ability to evaluate the big picture and solve strategic business problems
**What Will Give You a Competitive Edge** **(Preferred Qualifications)**
+ PhD in a quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.)
+ Experience in safety, automotive, or robotics data science is preferred
**Compensation:**
+ The expected base compensation for this role is $160,200- $245,400 USD Annually
+ Actual base compensation within the identified range will vary based on factors relevant to the position
+ Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance
**Benefits:**
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Benefits Overview**
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources ( .
**Non-Discrimination and Equal Employment Opportunities (U.S.)**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
**Accommodations**
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email ( ) us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company ( Culture**
**How we hire ( diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations ( are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) ( . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
**Work Arrangement**
**Remote:** This role is categorized as remote. This means the successful candidate may be based anywhere in the United States and is not expected to report to a GM worksite unless directed by their manager.
**Company Vehicle:** Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
**The Role**
The Lead Data Science Statistician - AV Safety Data Analysis will drive the statistical methods used to development and evaluation of autonomous vehicle (AV) performance safety metrics ranging from straightforward to advanced machine learning outputs. This position is part of the Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department in the Global Product Safety, System, and Certification (GPSSC) organization. The SAFE-ADS department serves as the central body for automated driving system (ADS) safety. GM's vision is zero crashes, zero emissions, and zero congestion - AV safety is at the heart of driving forward this vision. If you seek to solve complex data science challenges and see your work drive positive safety change, this role is for you.
The ideal candidate will be an expert in data science, statistical modeling, and data development across the entire data maturity curve. They will have experience in automative, safety, and/or robotic industries and understand how to integrate physics and engineering into the foundational statistical methods and approaches. The technical leader is a self-starter and comfortable solving ambiguous problems. They are passionate about data and creating valuable insights that drive continuous safety improvements and confidence in the system.
As a technical leader in the SAFE-ADS data science team, you will provide robust statistical expertise and guidance, weigh alternatives, and explain the different approaches to senior leaders. You will address safety assurance related questions related to ADS behavioral performance and validation. This role involves working with large-scale data generated by the ADS system. One of the key elements is to scale data science work and accelerating time-to-delivery in insights which requires the integration of physics and engineering principles. As a leader, you'll play a key role in defining and advancing GM's AV quantitative measurement and risk assessment efforts. Your work will contribute to enhancing and scaling our existing safety risk assessment framework and help to ensure coverage of our operational design domain, foundational components of the overall safety case that guides decision-making and drives engineering across the entire AV technology stack.
**What You'll Do (Responsibilities)**
+ Develop and standardize best practices of statistical estimations and uncertainty model for use in ADS safety risk assessment framework
+ Work with the team to develop and implement scalable ADS performance measurement solutions to help ensure safe and compliant on-road behavior and build confidence in the results
+ Use an iterative method of development to share early results, identify emerging risks, and provide ongoing guidance
+ Assess bias estimation and subsampling strategies used by system engineering
+ Support Data Engineering and Software & Services (S&S) in the develop and automate pipelines and tooling of the measurement and risk framework
+ Conduct statistical analysis to evaluate ADS driving software aggregate measures
+ Raise the bar for on-road safety by continuously improving safety and AV measurement, and developing a feedback loop for software improvements
+ Collaborate across various AV development teams, including GPSSC, S&S, Data Engineering, and Legal organizations
+ Stay up to date on industry trends and advancements in data science and AI/ML to drive innovation within the team and cross-functionally
**This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate**
**Your Skills & Abilities (Required Qualifications)**
+ M.S. degree in quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.)
+ 8+ minimum years of overall relevant experience, 5 years of which should be experience as a Data Scientist and/or Statistician in a corporate or government setting
+ Expertise in statistical modeling, machine learning and/or deep learning techniques
+ Prior experience with causal inference using instrumented variables and other forms of multifactor attribution methods
+ Expertise generating insights from multiple large-scale datasets
+ Proficiency in SQL and Python
+ Experience with data visualization tools and techniques
+ Collaborative team player and excellent communication and interpersonal skills, with ability to engage effectively with technical and non-technical stakeholders
+ Strong business consulting skills; ability to evaluate the big picture and solve strategic business problems
**What Will Give You a Competitive Edge** **(Preferred Qualifications)**
+ PhD in a quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.)
+ Experience in safety, automotive, or robotics data science is preferred
**Compensation:**
+ The expected base compensation for this role is $160,200- $245,400 USD Annually
+ Actual base compensation within the identified range will vary based on factors relevant to the position
+ Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance
**Benefits:**
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Benefits Overview**
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources ( .
**Non-Discrimination and Equal Employment Opportunities (U.S.)**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
**Accommodations**
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email ( ) us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company ( Culture**
**How we hire ( diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations ( are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) ( . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
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Open Rank: Instructor/Senior Instructor Data/Statistical Analysis
80017 Aurora, Colorado
University of Colorado
Posted 1 day ago
Job Viewed
Job Description
**Open Rank: Instructor/Senior Instructor Data/Statistical Analysis**
**Description**
**University of Colorado Anschutz**
**Department: Medicine, Division of Health Care Policy and Research, ACCORDS**
**Job Title:**
**Position # - Requisition #38086**
**Job Summary:**
Key Responsibilities
+ Acquire and manage databases that are derived from primary and secondary data sources, including maintaining and monitoring data quality to identify and resolve issues in data systems.
+ Write statistical programs in R, SAS, STATA and/or Python and conduct complex statistical analyses of primary and secondary data sources in support of assigned research projects
+ Designs reports, runs advanced queries, and develop and implement data transformation algorithms in existing database systems to support data interpretation, reporting, and systems conversions; including management of data integrity
+ Participate in collaborative research, including grant and manuscript writing and developing statistical analysis plans for assigned projects
+ Consult with Investigators on the design and implementation of data collection and management for research projects
+ Consult with faculty regarding statistical analysis questions on grant proposals, including assistance with power and sample size calculations, developing statistical analysis plans, and determining the most appropriate statistical methods to use
+ Produces tables and figures for manuscripts, presentations and grant proposals using a variety of statistical databases, spreadsheets, slide presentations and graphics software, consulting with other project staff as needed
+ Pursue original research and apply for intramural and extramural funding to support development of an individual research program, if desired
**Work Location:**
Hybrid
Remote
**Why Join Us:**
**Why work for the University?**
+ 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
+ Vacation Days: 22/year (maximum accrual 352 hours)
+ Sick Days: 15/year (unlimited maximum accrual)
+ Holiday Days: 10/year
+ Tuition Benefit: Employees have access to this benefit on all CU campuses
+ ECO Pass: Reduced rate RTD Bus and light rail service
**Qualifications:**
**Minimum Qualifications:**
**Instructor**
+ Master's degree or equivalent in biostatistics, statistics, or related fields that provides the individual with the required knowledge, skills and abilities
+ Five years experience in research/evaluation, including experience with various research methods, data collection, data management, and analysis using SAS, STATA, R, and/or equivalent statistical analysis packages
+ Two years of research experience applying statistical analysis on funded health services research studies in relevant areas
**Senior Instructor**
+ PhD or currently pursuing a PhD in biostatistics, statistics, data science, or related field
+ Seven years experience in research/evaluation, including experience with various research methods, data collection, data management, and analysis using SAS, STATA, R, and/or equivalent statistical analysis packages
+ Four years of research experience applying statistical analysis on funded health services research studies in relevant areas
**Preferred Qualifications:**
Instructor and Senior Instructor
+ Significant experience in "big data" or "real world data" analysis with primary areas of interest including electronic health records, pragmatic trial design, cluster-randomized trials, adaptive clinical trial designs, advanced techniques to approach causal inference and confounding in observational studies, or structural equation modeling
+ Experience supervising or mentoring statistical analysts
+ Experience in developing analytic sections for grant applications
+ Experience writing statistical methods section of manuscripts, peer-reviewed articles, and/or reports
**Knowledge, Skills and Abilities:**
+ Knowledge of basic and advanced statistical principles and analytic methods relevant in health services research
+ Advanced knowledge of statistical computing and/or Bayesian inference
+ Advanced programming skills in a common statistical software package (e.g., SAS, R, STATA, Python)
+ Excellent problem-solving skills
+ Organizational skills and ability to operate effectively and efficiently according to the needs and demands of concurrent projects and deadlines
+ Excellent written and verbal communication skills including ability to maintain diplomacy with all collaborating partners
+ Positive attitude and the ability to work with and be responsive to colleagues biomedical investigators and colleagues across the Anschutz Medical Campus
+ Ability to contribute to the growth and development of ACCORDS and HCPR
+ Ability to analyze large complex datasets with primary areas of interest including electronic health record data, healthcare claims datasets (e.g., Marketscan, APCD), and national surveys (e.g., NHANES, MEPS)
**How to Apply:**
**Screening of Applications Begins:**
**by November 1, 2025.**
**Anticipated Pay Range:**
**HIRING RANGE:**
**Equal Employment Opportunity Statement:**
**ADA Statement:**
**Background Check Statement:**
**Vaccination Statement:**
**Job Category**
**Primary Location**
**Schedule**
**Posting Date**
**Unposting Date**
**To apply, visit ( 2025 Jobelephant.com Inc. All rights reserved.
Posted by the FREE value-added recruitment advertising agency ( Rank: Instructor/Senior Instructor - Data/Statistical Analysis - 38086 Faculty
The Adult and Child Center for Health Outcomes Research and Delivery Science (ACCORDS) and the Division of Health Care Policy and Research, Department of Medicine at the University of Colorado seek a faculty member with health-related research experience and expertise in statistical analysis, data management, and/or data sciences. Successful candidates will be at the level of Instructor or Senior Instructor. Specific areas of interest include expertise in managing and analyzing large secondary data sets (e.g., healthcare claims databases, national survey data, and/or electronic health records), longitudinal data analysis, causal inference, analysis of cluster-randomized trials, stepped-wedge trials, and pragmatic research trials.This faculty position will have their academic affiliation in the Department of Medicine, Division of Health Care Policy and Research and will be a part of a well-established Data Informatics and Statistics Core in ACCORDS, a research center supporting the advancement of health services research and T3-T4 translational research that is jointly funded by the School of Medicine and Children's Hospital Colorado.:
Position is eligible for either a hybrid or remote work location. - hybrid schedule of 3 days per week on campus and as needed for in-person meetings. - this role is eligible to work remotely, but the employee must be in the United States, and available for needed in-person meetings.
The mission of the Division of Health Care Policy and Research (HCPR) is to design and conduct health services research, policy analyses, and evaluations of innovations, programs, and policies that increase the value of health care services. Our faculty approach this mission from multiple perspectives, including across the lifespan and generations. HCPR faculty members investigate how dissemination and implementation (as well as de-implementation when appropriate) of innovations in health care services, payment models, quality measurement approaches, and delivery system structures influence both individual and population-level outcomes with a focus on value and sustainability throughout our healthcare system. In addition to grant funded projects, HCPR actively pursues contract funding from federal and state government agencies.ACCORDS serves as the focal point for health care professionals, researchers and analysts from across the Anschutz Campus to foster multidisciplinary collaborations that bring together our campus's diverse skills and talents to pursue health services research and education. In addition to DISC, other ACCORDS Cores include Dissemination and Implementation Science, Patient-Centered Decision Making, Pragmatic Research and Trials, Digital Health Technology, Learning Health System, and Qualitative and Mixed Methods.We have AMAZING benefits and offerexceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including:There are many additional perks & programs with the CU Advantage ( .
Applicants must meet minimum qualifications at the time of hire.This is an open rank position and could be categorized as Instructor or Senior Instructor based on experience and qualifications as indicated below:Education:Experience:Education:Experience:
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 position2. Curriculum vitae / Resume3. Five professional references including name, address, phone number (mobile number if appropriate), and email addressApplications are accepted electronically ONLY at ( .Questions should be directed to: Katie Colborn, ( position is open immediately and will remain open until filled. For best consideration, apply
The starting salary range (or hiring range) for this position has been established as Instructor: $90,000 to $10,000 Senior Instructor: 100,000 to 120,000 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: ( 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.
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 ( .
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.
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 you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program ( . Application Materials Required: Cover Letter, Resume/CV, List of References : Faculty : Aurora Department: U0001 -- Anschutz Med Campus or Denver - 21099 - SOM-MED-HCP&R Gen Operations : Full-time : Oct 22, 2025 : Ongoing Posting Contact Name: Katie Colborn Posting Contact Email: ( Position Number: jeid-113f d945a5e698f08f746c92
The University of Colorado does not discriminate on the basis of race, color, national origin, sex, age, pregnancy, disability, creed, religion, sexual orientation, gender identity, gender expression, veteran status, political affiliation, or political philosophy. All qualified individuals are encouraged to apply.
**Description**
**University of Colorado Anschutz**
**Department: Medicine, Division of Health Care Policy and Research, ACCORDS**
**Job Title:**
**Position # - Requisition #38086**
**Job Summary:**
Key Responsibilities
+ Acquire and manage databases that are derived from primary and secondary data sources, including maintaining and monitoring data quality to identify and resolve issues in data systems.
+ Write statistical programs in R, SAS, STATA and/or Python and conduct complex statistical analyses of primary and secondary data sources in support of assigned research projects
+ Designs reports, runs advanced queries, and develop and implement data transformation algorithms in existing database systems to support data interpretation, reporting, and systems conversions; including management of data integrity
+ Participate in collaborative research, including grant and manuscript writing and developing statistical analysis plans for assigned projects
+ Consult with Investigators on the design and implementation of data collection and management for research projects
+ Consult with faculty regarding statistical analysis questions on grant proposals, including assistance with power and sample size calculations, developing statistical analysis plans, and determining the most appropriate statistical methods to use
+ Produces tables and figures for manuscripts, presentations and grant proposals using a variety of statistical databases, spreadsheets, slide presentations and graphics software, consulting with other project staff as needed
+ Pursue original research and apply for intramural and extramural funding to support development of an individual research program, if desired
**Work Location:**
Hybrid
Remote
**Why Join Us:**
**Why work for the University?**
+ 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
+ Vacation Days: 22/year (maximum accrual 352 hours)
+ Sick Days: 15/year (unlimited maximum accrual)
+ Holiday Days: 10/year
+ Tuition Benefit: Employees have access to this benefit on all CU campuses
+ ECO Pass: Reduced rate RTD Bus and light rail service
**Qualifications:**
**Minimum Qualifications:**
**Instructor**
+ Master's degree or equivalent in biostatistics, statistics, or related fields that provides the individual with the required knowledge, skills and abilities
+ Five years experience in research/evaluation, including experience with various research methods, data collection, data management, and analysis using SAS, STATA, R, and/or equivalent statistical analysis packages
+ Two years of research experience applying statistical analysis on funded health services research studies in relevant areas
**Senior Instructor**
+ PhD or currently pursuing a PhD in biostatistics, statistics, data science, or related field
+ Seven years experience in research/evaluation, including experience with various research methods, data collection, data management, and analysis using SAS, STATA, R, and/or equivalent statistical analysis packages
+ Four years of research experience applying statistical analysis on funded health services research studies in relevant areas
**Preferred Qualifications:**
Instructor and Senior Instructor
+ Significant experience in "big data" or "real world data" analysis with primary areas of interest including electronic health records, pragmatic trial design, cluster-randomized trials, adaptive clinical trial designs, advanced techniques to approach causal inference and confounding in observational studies, or structural equation modeling
+ Experience supervising or mentoring statistical analysts
+ Experience in developing analytic sections for grant applications
+ Experience writing statistical methods section of manuscripts, peer-reviewed articles, and/or reports
**Knowledge, Skills and Abilities:**
+ Knowledge of basic and advanced statistical principles and analytic methods relevant in health services research
+ Advanced knowledge of statistical computing and/or Bayesian inference
+ Advanced programming skills in a common statistical software package (e.g., SAS, R, STATA, Python)
+ Excellent problem-solving skills
+ Organizational skills and ability to operate effectively and efficiently according to the needs and demands of concurrent projects and deadlines
+ Excellent written and verbal communication skills including ability to maintain diplomacy with all collaborating partners
+ Positive attitude and the ability to work with and be responsive to colleagues biomedical investigators and colleagues across the Anschutz Medical Campus
+ Ability to contribute to the growth and development of ACCORDS and HCPR
+ Ability to analyze large complex datasets with primary areas of interest including electronic health record data, healthcare claims datasets (e.g., Marketscan, APCD), and national surveys (e.g., NHANES, MEPS)
**How to Apply:**
**Screening of Applications Begins:**
**by November 1, 2025.**
**Anticipated Pay Range:**
**HIRING RANGE:**
**Equal Employment Opportunity Statement:**
**ADA Statement:**
**Background Check Statement:**
**Vaccination Statement:**
**Job Category**
**Primary Location**
**Schedule**
**Posting Date**
**Unposting Date**
**To apply, visit ( 2025 Jobelephant.com Inc. All rights reserved.
Posted by the FREE value-added recruitment advertising agency ( Rank: Instructor/Senior Instructor - Data/Statistical Analysis - 38086 Faculty
The Adult and Child Center for Health Outcomes Research and Delivery Science (ACCORDS) and the Division of Health Care Policy and Research, Department of Medicine at the University of Colorado seek a faculty member with health-related research experience and expertise in statistical analysis, data management, and/or data sciences. Successful candidates will be at the level of Instructor or Senior Instructor. Specific areas of interest include expertise in managing and analyzing large secondary data sets (e.g., healthcare claims databases, national survey data, and/or electronic health records), longitudinal data analysis, causal inference, analysis of cluster-randomized trials, stepped-wedge trials, and pragmatic research trials.This faculty position will have their academic affiliation in the Department of Medicine, Division of Health Care Policy and Research and will be a part of a well-established Data Informatics and Statistics Core in ACCORDS, a research center supporting the advancement of health services research and T3-T4 translational research that is jointly funded by the School of Medicine and Children's Hospital Colorado.:
Position is eligible for either a hybrid or remote work location. - hybrid schedule of 3 days per week on campus and as needed for in-person meetings. - this role is eligible to work remotely, but the employee must be in the United States, and available for needed in-person meetings.
The mission of the Division of Health Care Policy and Research (HCPR) is to design and conduct health services research, policy analyses, and evaluations of innovations, programs, and policies that increase the value of health care services. Our faculty approach this mission from multiple perspectives, including across the lifespan and generations. HCPR faculty members investigate how dissemination and implementation (as well as de-implementation when appropriate) of innovations in health care services, payment models, quality measurement approaches, and delivery system structures influence both individual and population-level outcomes with a focus on value and sustainability throughout our healthcare system. In addition to grant funded projects, HCPR actively pursues contract funding from federal and state government agencies.ACCORDS serves as the focal point for health care professionals, researchers and analysts from across the Anschutz Campus to foster multidisciplinary collaborations that bring together our campus's diverse skills and talents to pursue health services research and education. In addition to DISC, other ACCORDS Cores include Dissemination and Implementation Science, Patient-Centered Decision Making, Pragmatic Research and Trials, Digital Health Technology, Learning Health System, and Qualitative and Mixed Methods.We have AMAZING benefits and offerexceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including:There are many additional perks & programs with the CU Advantage ( .
Applicants must meet minimum qualifications at the time of hire.This is an open rank position and could be categorized as Instructor or Senior Instructor based on experience and qualifications as indicated below:Education:Experience:Education:Experience:
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 position2. Curriculum vitae / Resume3. Five professional references including name, address, phone number (mobile number if appropriate), and email addressApplications are accepted electronically ONLY at ( .Questions should be directed to: Katie Colborn, ( position is open immediately and will remain open until filled. For best consideration, apply
The starting salary range (or hiring range) for this position has been established as Instructor: $90,000 to $10,000 Senior Instructor: 100,000 to 120,000 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: ( 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.
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 ( .
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.
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 you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program ( . Application Materials Required: Cover Letter, Resume/CV, List of References : Faculty : Aurora Department: U0001 -- Anschutz Med Campus or Denver - 21099 - SOM-MED-HCP&R Gen Operations : Full-time : Oct 22, 2025 : Ongoing Posting Contact Name: Katie Colborn Posting Contact Email: ( Position Number: jeid-113f d945a5e698f08f746c92
The University of Colorado does not discriminate on the basis of race, color, national origin, sex, age, pregnancy, disability, creed, religion, sexual orientation, gender identity, gender expression, veteran status, political affiliation, or political philosophy. All qualified individuals are encouraged to apply.
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