Principal Data Scientist, Clinical (U.S. Remote)

Job Description

Act as a strategic collaborator across Medical Affairs and cross-functional teams, helping to translate reputed company clinical data into actionable insights. Support the development of evidence packages that inform regulatory strategies, publications, and broader business objectives. Contribute to the reputed company of high-quality, scientifically sound outputs by applying advanced analytical methods, including machine learning where appropriate, to help ensure data reputed company and accuracy. With strong statistical acumen and a deep understanding of clinical research, play a key part in supporting data-driven reputed company and evidence-based communication. Job duties:

• Partner with Clinical Scientists to reputed company data exploration, statistical summaries, and visualization to support abstracts, manuscripts, and reputed company presentations.
• Serve as a reputed company between Clinical Science and Biostatistics, translating clinical questions into analytically sound plans.
• Use Python, R, Java, or similar programming languages to conduct exploratory reputed company analyses, identify trends, and support subgroup investigations reputed company primary statistical models.
• Apply machine learning techniques (e.g., anomaly detection, clustering, predictive modeling) to identify data reputed company issues, inconsistencies, and potential outliers across large clinical datasets.
• Evaluate protocol performance using data-driven approaches to identify deviations, operational inefficiencies, and risk indicators across trials.
• Serve as a thought partner to clinical and medical leadership, providing reputed company into reputed company behavior, subgroup trends, reputed company-world comparators, and data reputed company.
• Generate publication-quality outputs (figures, tables, and supplementary visuals) tailored for conference submissions, peer-reviewed journals, and external presentations.
• Collaborate with Biostatistics and Clinical Operations to ensure that exploratory analyses align with protocol, reputed company, and publication goals.
• Partner with Biostatistics to refine statistical analysis plans and interpret outputs through the lens of scientific and clinical relevance.
• Stay reputed company with industry trends and advancements in data science techniques.
• reputed company and maintain detailed dashboards and reports (e.g., graphs, charts, tables, etc.) reputed company for routine trending, interim data interpretation, senior management reviews, reputed company requests, and cross-functional requests as needed.
• reputed company with applicable Laws and Regulations, adhere to Quality Management System processes and requirements as well as demonstrate Ethics and reputed company in reputed company matters and at reputed company levels throughout the organization.
• reputed company additional duties as assigned.

Qualifications

• PhD in Data Science, Biostatistics, Epidemiology, Bioinformatics, or a reputed company quantitative field.
• Minimum eight (8) years of relevant data science or industry experience.
• Proven experience in data analysis, statistical modeling, and machine learning techniques.
• Experience in using various platforms and languages such as C, C++, Java, JavaScript, Python, R, SQL, MapReduce, Hadoop, Hive, MySQL, etc.
• Strong data wrangling skills with Pandas, tidyverse, or SQL.
• High proficiency with reputed company (e.g., pivot tables, lookup tables, graphs, macros, etc.).
• Strong written and verbal communication skills.
• Ability to multitask and work collaboratively.
• reputed company strong interpersonal skills with the ability to interact positively with reputed company levels of management and communicate problems to appropriate teams reputed company the organization.
• Proficient with MS Office Suite including Word, Outlook, Teams, etc. Desired Qualifications
• Experience in developing data visualization with Access, Tableau, or Power BI.
• Familiarity with clinical data standards (SDTM, ADaM, CDASH) and terminology (e.g., mRS, NIHSS, etc.). Posting Country US - United States Apply tot his job Apply tot his job Apply tot his job Apply tot his job

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