• 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.

• 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.

• 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.

• 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.

Alphanumeric is a dynamic company born of a diverse mindset and held to a distinctly high standard. You may know us as a tech and communications firm established in 1979, but we also lead life science and healthcare organizations toward a more efficient future across the globe, bringing patients and providers together to build personalized relationships that fit their needs.But at our core, we are a family with a shared and passionate dedication to our customers. We treat our candidates as amazing (because they are!)Apply today to join our family and Make Your Mark!