Data Scientist - Full Time

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

• Consult on best practices, model selection, data interpretation, and ethical data use
• 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.

• 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, Statistic, 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.

• Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

For all Full -Time DRI Positions:

• 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 (if applicable)

• 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. DRI is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected status. We encourage individuals of all backgrounds to apply. Powered by JazzHR