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Digital Measures Jobs (NOW HIRING)

Digital Analytics Manager Reports to: Sr. Director, Client Digital Experience Department: Client ... This role ensures we have the analytics foundation to measure what matters. You'll own our core ...

Sr.Digital Analyst II

Draper, UT · Hybrid

$92K - $108K/yr

Help define measurement approaches and testing frameworks related to AI-driven search behavior, AI Overviews (AIO), LLM impacts, and evolving organic discovery trends. * Monitor shifts in digital ...

Digital analyst

Madison, NJ

$101K - $120K/yr

Candidates should have 2-3 years of experience and ideally an educational background in digital marketing strategy/channels and measurement, including Website, SEM/SEO, social media, influencer ...

Oversee website analytics and campaign tracking strategy using GA4 and related digital measurement tools. * Ensure proper analytics implementation and data consistency across campaigns and digital ...

Lead measurement and reporting for social channels, updating best practices and presenting weekly ... Serve as day-to-day lead for digital agency management. Campaign Development & Activation * Plan ...

Stay current on emerging trends in digital measures, endpoint validation, and clinical innovation, translating insights into practical customer guidance. Therapeutic Area Framework Development * Own ...

Lead measurement and reporting for social channels, updating best practices and presenting weekly ... Serve as day-to-day lead for digital agency management. Campaign Development & Activation * Plan ...

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Digital Measures information

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How much do digital measures jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for digital measures in the United States is $47.25, according to ZipRecruiter salary data. Most workers in this role earn between $25.48 and $61.30 per hour, depending on experience, location, and employer.

What are Digital Measures?

Digital Measures refers to specialized software platforms used by academic institutions to collect, manage, and report faculty activities and achievements. These systems help streamline the documentation of teaching, research, service, and professional development, making it easier for universities to generate reports for accreditation, annual reviews, and other administrative needs. Digital Measures is commonly used to reduce paperwork, ensure data accuracy, and support decision-making processes within higher education organizations.

How does a professional working in Digital Measures typically collaborate with faculty and administrative staff within an academic institution?

Professionals in Digital Measures roles often act as liaisons between faculty, administrative staff, and IT teams to ensure accurate collection, management, and reporting of faculty activity data. They provide training, troubleshoot issues, and help tailor the system to meet the institution's reporting needs. Regular collaboration includes organizing workshops, responding to data requests, and coordinating with stakeholders to keep digital records current and compliant. This role requires strong communication and problem-solving skills to bridge technical processes and user needs.

What is the difference between Digital Measures vs Data Analyst?

AspectDigital MeasuresData Analyst
Required CredentialsTypically requires a background in education, research, or institutional assessment, often with a master's degree or higher.Usually requires a degree in statistics, mathematics, or related fields; certifications like SAS or SQL are common.
Work EnvironmentPrimarily in academic or research institutions, focusing on institutional data management and assessment.In various industries, analyzing data to inform business decisions across departments.
Employer & Industry UsageUsed mainly by higher education institutions and research organizations.Widely used across industries such as finance, healthcare, marketing, and technology.

Digital Measures focuses on managing and assessing institutional data within academic settings, while Data Analysts interpret complex data sets to support decision-making across diverse industries. Both roles require analytical skills but serve different organizational needs.

What are the key skills and qualifications needed to thrive as a Digital Measures Administrator, and why are they important?

To thrive as a Digital Measures Administrator, you need expertise in data management, reporting, and a background in information systems or a related field. Familiarity with Digital Measures (now Watermark Faculty Success), database systems, and data visualization tools is typically required. Attention to detail, strong problem-solving, and effective communication are essential soft skills for collaborating with faculty and interpreting data needs. These competencies ensure accurate data collection, streamlined reporting, and effective support for institutional decision-making.
More about Digital Measures jobs
Clinical Data Scientist (Data Analyst Level 3 - Digital Measures)

Clinical Data Scientist (Data Analyst Level 3 - Digital Measures)

Alphanumeric Systems Inc.

Durham, NC • Remote

$80 - $97/hr

Contractor

Posted yesterday


Job description

Clinical Data Scientist (Data Analyst Level 3 - Digital Measures)

Research Triangle Park, NC (Hybrid)
Alphanumeric is hiring a Clinical Data Scientist - Data Analyst Level 3 (Digital Measures) to support our client, a global pharmaceutical leader we've proudly partnered with for over 20 years. This is an exciting opportunity to work at the intersection of clinical research, data science, and digital health, helping transform wearable and sensor-generated data into meaningful clinical insights that support innovative therapies and improve patient outcomes.

Pay Range: $80.00 - $97.00/hour (W2)
Location: Research Triangle Park, NC area (Hybrid)
Employment Type: W2 Contract
Please Note: No third-party agencies. Sponsorship is not available for this position.
About the Role:
As a Clinical Data Scientist supporting the Digital Measures team, you'll analyze complex clinical and sensor-derived datasets to help validate digital endpoints used in clinical trials. You'll develop reproducible analytical workflows, generate actionable insights, and collaborate with multidisciplinary teams to advance innovative measurement strategies that support drug development.
This role is ideal for someone who enjoys combining clinical data, programming, statistical analysis, and data visualization to solve complex healthcare challenges.

What You'll Do:
  • Prepare, clean, and analyze digital biomarker and sensor-derived datasets for clinical research.
  • Develop reproducible analytical workflows, including data cleaning, transformation, quality control, and documentation.
  • Perform exploratory and statistical analyses to evaluate digital measures, including reliability, sensitivity to change, and other validation metrics.
  • Integrate wearable and sensor data with clinical and patient-reported outcome (PRO) datasets.
  • Create meaningful data visualizations, dashboards, and analytical summaries for scientific and business stakeholders.
  • Document analytical methodologies to support regulatory expectations and internal governance.
  • Partner with Digital Measures, Clinical Study, Data Engineering, and Patient-Centered Outcomes teams to support digital endpoint development.
  • Ensure data integrity, reproducibility, and high-quality analytical deliverables throughout the project lifecycle.
Required Qualifications:
  • Master's, or PhD in Data Science, Statistics, Biostatistics, Computer Science, Biomedical Engineering, or a related quantitative field.
  • Strong experience in data science, analytics, biostatistics, or clinical data analysis.
  • Experience working with longitudinal, clinical, or healthcare datasets
  • Strong programming skills in Python and/or R.
  • Experience creating data visualizations and communicating analytical findings to technical and non-technical audiences.
  • Strong understanding of data quality, reproducible research practices, and documentation standards.
  • Excellent analytical, problem-solving, and collaboration skills.

Preferred Qualifications:
  • Experience with Databricks.
  • Experience working with digital health technologies, wearable devices, or sensor-derived data.
  • Clinical trial or pharmaceutical industry experience.
  • Understanding of digital endpoint development and measurement validation concepts such as reliability, validity, and responsiveness.
  • Familiarity with regulatory expectations related to endpoint development and clinical evidence generation.

What Success Looks Like
In this role, you'll contribute by:
  • Delivering high-quality, analysis-ready datasets on schedule.
  • Building robust, reproducible analytical pipelines.
  • Producing clear, actionable insights that support scientific decision-making.
  • Advancing evidence generation for innovative digital endpoints used in clinical research.

Why Join Alphanumeric?
For more than 20 years, Alphanumeric has partnered with one of the world's leading pharmaceutical organizations to provide exceptional talent supporting groundbreaking research and development. You'll work alongside experts who are shaping the future of medicine while gaining experience with cutting-edge digital health technologies and advanced clinical analytics.
If you're passionate about applying data science to improve patient outcomes and accelerate clinical innovation, we'd love to hear from you. Apply today!