Clinical Data Scientist (Data Analyst Level 3 - Digital Measures)
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Overview
Job Description
- 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!
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.
