Remote Ruby Rails Developer Jobs in Lafayette, CO

University of Colorado Anschutz

Department: Obstetrics and Gynecology

Job Title: Research Scientist / Data Manager and Analyst

Position #: 00849049 - Requisition #:40088

Job Summary:

We are seeking a Research Data Scientist to join an incredible team of researchers in the Division of Maternal Fetal Medicine within the Department of Obstetrics and Gynecology at the University of Colorado Anschutz.  Our physicians provide full prenatal care, maternal and fetal disease consultation, prenatal diagnosis, and genetic counseling for patients across Colorado and Wyoming. We are proud to support the Children's Hospital of Colorado's Colorado Fetal Care Center (CFCC) which specializes in fetal diagnosis and in utero intervention. What sets us apart is our dedication to the development of highly successful Maternal-Fetal Medicine fellows and our commitment to advancing research in the field of Maternal-Fetal Medicine. If you join us, you will become an integral part of an interdisciplinary team that values collaboration and teamwork above all else. 

Key Responsibilities:

         Design, develop, and maintain high-quality EMR/EHR-based datasets to support retrospective cohort studies and real-world evidence generation

         Serve as the database manager for the PARITY database, the Colorado Fetal Care Center, and the Perinatal Research Advisory & Facilitation Committee

         Ensure data integrity, traceability, and alignment with study objectives through rigorous validation and documentation

         Develop and manage longitudinal datasets to evaluate clinical outcomes, treatment patterns, and health disparities

         Serve as a key resource for data strategy and methodological guidance across projects

         Contribute to continuous improvement of research data workflows and infrastructure

         Mentor junior researchers, medical students, residents, and fellows on study design, cohort development, and analytical methods

         Data Scientists are expected to 'own' a project and make meaningful progress, leading to 2 journal/conference publications per year.

Work Location:

Remote - this role is eligible to work remotely, but the employee must be in the United States.

Why Join Us:

The Division of Maternal Fetal Medicine (MFM) is one of the largest MFM divisions in the country. This role contributes directly to advancing clinical research and improving patient outcomes by enabling high-quality, data-driven studies. The position supports efforts to identify care gaps, address health disparities, and generate evidence that informs clinical practice and policy, while also fostering the development of the next generation of clinical researchers.

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 time of hire

         Master's or equivalent in Epidemiology, Clinical Science, Biostatistics, or a related field

         5 years of experience in clinical data management, epidemiology, or healthcare data science

         Strong experience working with EMR/EHR data systems (e.g., Epic Clarity, Caboodle)

         Expertise in retrospective cohort study design and longitudinal data analysis

         Proficiency in SQL, SAS, and/or similar analytical tools

         Strong understanding of Good Clinical Practice (GCP), IRB processes, and regulatory compliance

         Demonstrated experience contributing to peer-reviewed research or academic publications

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.

Preferred Qualifications:

         PhD or equivalent in Epidemiology, Clinical Science, Biostatistics, or a related field

         Advanced skills in statistical programming software (SAS, R, SPSS)

         Experience in OB/GYN, perinatal, or population health research

         Experience with REDCap or similar clinical research data capture tools

         First- or co-author publications in clinical or epidemiological research

         Experience working in an academic medical center or research institution

         Experience supporting grant-funded research or contributing to grant applications

Knowledge, Skills and Abilities:

         SQL skills for querying data (especially for cloud computing).

         Strong analytical skills, critical thinking, attention to detail and accuracy, and strong interpersonal skills.

         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.

         Outstanding customer service skills.

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: Jocelyn Phipers, jocelyn.phipers@cuanschutz.edu

Screening of Applications Begins:

Immediately and continues until June 3rd, 2026.

Anticipated Pay Range:

The starting salary range (or hiring range) for this position has been established as $96,000 - $101,000 

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

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 you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program.