Data Scientist - Full Time

Classification: Exempt, Full-Time

Salary Range: $118,675 - $134,500

Reports to: Principal Investigator

Job Summary

Data Scientist provides analytical and programming expertise to interpret complex data for research leaders at the Rocky Mountain Regional Veterans Affairs Medical Center.

Responsibilities

• Data Acquisition & Preparation
  • Collect, extract and organize data from multiple sources (databases, EHRs, external datasets).
  • Clean, preprocess, validate, and transform raw data for analysis, ensuring data quality and integrity.
• Data Analysis & Modeling
  • Analyze data using advanced statistical, machine learning, and predictive modeling techniques.
  • Develop, implement, and optimize algorithms and models to solve business or research questions.
• Visualization & Reporting
  • Design and build dashboards and visualizations to effectively communicate data insights.
  • Prepare clear, concise reports describing methodologies, analyses, and results for stakeholders.
  • Present findings and recommendations to technical and non-technical audiences.
• Collaboration & Consulting
  • Collaborate with stakeholders, including clinicians, researchers, IT teams, to define objectives and data needs.
  • Consult on best practices, model selection, data interpretation, and ethical data use.
• Software Development & Automation
  • Implement reproducible workflows using version control and documentation.
• Continuous Learning & Innovation
  • Stay current with new tools, technologies, and methodologies in data science and analytics.
  • Evaluate, test, and implement emerging data solutions to improve research or business processes.
• Compliance & Security
  • Ensure adherence to data privacy, security regulations, and institutional policies.
  • Document all analytic processes and maintain confidentiality of sensitive information.

Qualifications

Master’s Degree required or bachelor’s degree and 2 years relevant experience required.

Required degree concentration: Computer Science, Biostatistics/Statistics, Epidemiology, or other scientific, health, medical or social sciences field with a concentration in Data Science.

Relevant experience is defined as: Experience in Data Science, Statistics, Epidemiology, or other scientific, health, medical or social sciences field where activities included gathering, analyzing and interpreting statistical data.

• Ability to apply advanced statistical techniques and develop predictive models to support research objectives.
• Strong skills in statistical and programming languages (e.g., Python, R, SQL), including writing, debugging, and optimizing code.
• Knowledge of methods for acquiring, cleaning, processing, and organizing large and complex datasets.
• Ability to design, implement, and evaluate machine learning algorithms for pattern recognition and prediction.
• Skill in creating meaningful visualizations to communicate findings.
• Knowledge of study design considerations (e.g., experimental, observational), power analysis, sampling, and bias reduction.
• Ability to translate complex analytical concepts for non-technical stakeholders and effectively work within multidisciplinary teams.
• Skill in identifying research questions, diagnosing data issues, and selecting appropriate analytic approaches.

Benefits

• 403(b) – employer match up to 5% eligibility
• AD&D
• Family Medical Leave
• Long Term Disability
• Basic Life Insurance
• Paid Holidays
• Paid Sick Days
• Paid Vacation Days
• Telehealth
• Hospital Indemnity
• Benefits for you and your family at the first of the month following first day of employment:
  • Dental insurance
  • Vision insurance
  • Flexible spending accounts
  • Dependent Care account
  • Health savings account with high-deductible health care plan

Work Authorization/Security Clearance

Candidate must be able to be federally badged via a WOC (without compensation) Letter as administered by the VA and to include any background tests or screenings as required by the VA. Employment with Denver Research Institute is contingent upon a candidate obtaining and holding VA appointment, which could be jeopardized by marijuana use which is permissible under state law but prohibited by VA’s employment policies.