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Wearable Data Science Jobs in Colorado (NOW HIRING)

Quality Associate I

Centennial, CO · On-site

$25 - $30/hr

Data & Reporting * Collect and report basic quality metrics and trends. * Participate in ... Associate's or Bachelor's degree in a STEM field (science, technology, engineering, mathematics)

Sr Software Developer

Center, CO

$47.75 - $63.25/hr

If you're a versatile developer ready to wear multiple hats and make a real difference, Tuff Shed ... science concepts, data structures, and data models. * Proficiency in relational database ...

Pursuing Chemistry, Materials Science, or related degree from an accredited college/university ... Required to wear Personal Protective Equipment (PPE) as necessary including, but not limited to eye ...

Sr Software Developer

Denver, CO · On-site

$110K - $150K/yr

If you're a versatile developer ready to wear multiple hats and make a real difference, Tuff Shed ... science concepts, data structures, and data models. * Proficiency in relational database ...

A Bachelor of Science Degree in engineering, science, or related environmental studies, preferred ... Able to wear a respirator Environmental Restoration is an equal opportunity employer, and as such ...

... analyzing data, systems, processes, product or equipment, utilizing engineering principles ... Understands basic ceramic science principles for materials related to assigned projects and ...

Analyze and interpret blueprints, data, manuals, and other materials to determine specifications ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

Bachelor's degree in Computer Science, Engineering, or related field Nice to have * Power BI Data ... Experience operating in a small AI team where you wear multiple hats How you work * You build for ...

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Wearable Data Science information

What is wearable data science?

Wearable data science is a field focused on analyzing and interpreting data collected from wearable devices such as smartwatches, fitness trackers, and health monitors. Professionals in this area develop methods to process large volumes of sensor data to gain insights into health, activity, and behavior patterns. The insights can be used to improve health outcomes, enhance user experiences, and support research in various domains including healthcare, sports, and consumer technology.

How do wearable data scientists typically collaborate with hardware engineers and software developers during product development?

Wearable data scientists work closely with hardware engineers to understand sensor specifications and data collection constraints, ensuring that the data is accurate and usable for analysis. They also collaborate with software developers to integrate data processing algorithms into wearable devices or companion apps, often providing feedback on data flow, storage, and real-time analytics. This cross-functional teamwork is essential for developing robust products that deliver actionable insights to users and meet technical requirements.

What are the key skills and qualifications needed to thrive as a wearable data scientist, and why are they important?

To thrive as a Wearable Data Scientist, you need a solid background in data analysis, statistics, machine learning, and a relevant degree in fields like computer science, engineering, or data science. Familiarity with programming languages such as Python or R, experience with data visualization tools, and knowledge of wearable sensor platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate complex data into actionable insights. These skills are vital for developing accurate models and delivering meaningful results that drive innovation in wearable technology.

What is the difference between Wearable Data Science vs Wearable Data Analyst?

AspectWearable Data ScienceWearable Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; knowledge of machine learningDegree in Data Analysis, Statistics, or related field; proficiency in data visualization tools
Work EnvironmentResearch labs, tech companies, healthcare startupsHealthcare providers, fitness companies, wearable device firms
Employer & Industry UsageDevelops algorithms, models, and wearable tech innovationsAnalyzes wearable data to inform decisions, improve products, and report findings

Wearable Data Science focuses on developing algorithms and models to interpret wearable device data, often involving machine learning. Wearable Data Analysts interpret and visualize this data to support business or healthcare decisions. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are popular job titles related to Wearable Data Science jobs in Colorado?

For Wearable Data Science jobs in Colorado, the most frequently searched job titles are:

What cities in Colorado are hiring for Wearable Data Science jobs?

Cities in Colorado with the most Wearable Data Science job openings:

Infographic showing various Wearable Data Science job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Biostatistician - Seibold Lab

National Jewish Health

Denver, CO • On-site

$77K - $102K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


National Jewish Health rating

6.3

Company rating: 6.3 out of 10

Based on 17 frontline employees who took The Breakroom Quiz


Job description

Position Summary    

Designs, manages and analyzes research data provided by National Jewish Health faculty and researchers, federally funded grants and entities outside National Jewish Health.


Essential Duties    

  1. Works with researchers to design, manage, analyze and provide reporting plansn for research projects.
  2. Prepares datasets for analysis.
  3. Creates statistical programs for data manipulation and analysis with software packages such as R and SAS.
  4. Provides expertise in statistics and computing in collaboration with investigators.
  5. Writes analytical sections of manuscripts and grants, and co-authors research articles.
  6. Implements data management and data quality control plans.
  7. Advises researchers about analytical software and to a limited degree, hardware.
  8. Analyzes data both independently and in conjunction with faculty.
  9. Assists investigators in running analysis and presentation programs.
  10. Participates in recommending software and hardware changes.
  11. Keeps abreast of new discoveries in science, i.e. genetics, genomics, and methods for analysis of these data.


Competencies    

  1. Accountability: Accepts full responsibility for self and contribution as a team member; displays honesty and truthfulness; confronts problems quickly; displays a strong commitment to organizational success and inspires others to commit to goals; demonstrates a commitment to National Jewish Health.
  2. Business Acumen: Using economic, financial, market, and industry data to understand and improve business results; using one’s understanding of major business functions, industry trends, and own organization’s position to contribute to effective business strategies and tactics.
  3. Collaboration/Teamwork: Cooperates with others to accomplish common goals; works with employees within and across his/her department to achieve shared goals; treats others with dignity and respect and maintains a friendly demeanor; values the contributions of others.
  4. Customer Focus: Ensuring that the customer perspective is a driving force behind business decisions and activities; crafting and implementing service practices that meet customers’ and own organization’s needs.
  5. Peer Relationships: Interacts with others in a constructive, positive, and respectful manner, regardless of individual differences. Assists team members or co-workers in achieving personal goals and completing assignments.


Supervisory or Managerial Responsibility: None


Travel: None


Core Values    

  1. Be available to work as scheduled and report to work on time.
  2. Be willing to accept supervision and work well with others.
  3. Be well groomed, appropriately for your role and wear ID Badge visibly.
  4. Be in compliance with all departmental and institutional policies, the Employee Handbook, Code of Conduct and completes NetLearning by due date annually.
  5. Promotes a workplace culture based on mutual respect and merit, where all individuals are treated fairly and provided with equal opportunity to contribute to the mission and goals of the institution.
  6. Adheres to safe working practices and at all times follows all institutional and departmental safety policies and procedures. 
  7. Wears appropriate PPE as outlined by the infection control policies and procedures.
  8. Demonstrates compliance with all state, federal and all other regulatory agency requirements.


Minimum Qualifications

  1. Education: Master’s degree in biostatistics or related field required.
  2. Work Experience: A minimum of two (2) years recent and related experience with statistical analysis of scientific data.
  3. Special Training, Certification or Licensure: None    

Salary Range: $77,572.56 - $102,583.71

Benefits
At National Jewish Health, we recognize that our outstanding faculty and staff are the essence of our organization. For every aspect of health care, our employees are our greatest asset. With that in mind, we have designed a valuable, comprehensive benefits package to meet the needs of our employees and their families. 

  • Comprehensive Medical Coverage: Multiple Cigna health plans for Colorado, regional office and remote employees. Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA) available to pair with some plans.
  • Paid Time Off: Generous PTO accruals to use for vacation and sick days, and six paid holidays, all compliant with Colorado state sick leave regulations.
  • Dental & Vision Plans: Coverage effective the first of the month after hire.
  • Retirement Savings: 403(b) plan with employer contributions after two years.
  • Wellness Incentives: Earn up to $200 annually for preventive health activities.
  • Tuition Reimbursement: Up to $5,250 annually for full-time and part-time employees.
  • Child Care Assistance: Childcare Flex Spending Account (FSA) with annual employer contribution.
  • Loan Forgiveness: Public Service Loan Forgiveness (PSLF) eligible employer.
  • Disability & Life Insurance: Employer-paid plans and optional buy-up choices.
  • Voluntary Benefits: Full suite of coverage options such as Accident, Hospital Indemnity and Legal Plan
  • Exclusive Discounts: Savings on local services, insurance, and RTD bus passes.

Visa sponsorship is not available for this position. Applicants must be legally authorized to work in the United States without the need for employer sponsorship, now or in the future.


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