Qureos Mentor

SPECTRAFORCE

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 Position Title:
 
 Analyst, Data Analytics
 
 
 
 Work Location:
 
 Irvine, CA (Hybrid)
 
 
 
 Assignment Duration:
 
 12 Months
 
 
 
 
 
 
 Position Summary:
 
 
 
 Perform quantitative analysis using Python (e.g., pandas, NumPy, visualization libraries) to support clinical trial operations such as enrollment, costing, and resourcing, and to develop forecasting and decision-support outputs for key stakeholders (e.g., Clinical Affairs, Regulatory and Medical Affairs, Strategy, Global Supply Chain, Finance).
 
 
 Investigate, assess, and interpret clinical and operational data to support strategic decision-making, including early signal detection related to enrollment trends, protocol adherence, site performance, and data quality, while proposing moderately complex solutions and recommendations.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Perform quantitative analysis using Python (e.g., pandas, NumPy, visualization libraries) to support clinical trial operations such as enrollment, costing, and resourcing, and to develop forecasting and decision-support outputs for key stakeholders (e.g., Clinical Affairs, Regulatory and Medical Affairs, Strategy, Global Supply Chain, Finance).
 
 
 &bull; Investigate, assess, and interpret clinical and operational data to support strategic decision-making, including early signal detection related to enrollment trends, protocol adherence, site performance, and data quality, while proposing moderately complex solutions and recommendations.
 
 
 &bull; Modify, extend, and maintain analysis tools and workflows&mdash;primarily in Python&mdash;by leveraging existing clinical models (e.g., inventory, case management, headcount, trial enrollment, site activations/deactivations) while applying clinical trial domain knowledge.
 
 
 &bull; Organize, analyze, and create reproducible analyses, reports, dashboards, and data extracts to summarize moderately complex challenges across clinical affairs projects, programs, and initiatives.
 
 
 &bull; Apply statistical methods (e.g., descriptive statistics, trend analysis, basic inferential methods) as appropriate to quantify uncertainty, monitor performance, and support interpretation of clinical and operational signals.
 
 
 &bull; Lead portions of clinical analytics projects in collaboration with cross-functional stakeholders (e.g., Clinical Operations, Biostatistics, vendors, and internal analytics partners).
 
 
 &bull; Identify and propose data-driven process improvements related to clinical affairs operations (e.g., screening efficiency, site start-up, physician training, data review workflows).
 
 
 &bull; Other duties as assigned.
 
 
 
 
 
 
 Qualification &amp; Experience:
 
 
 
 &bull; Bachelor's Degree Required
 
 
 &bull; 3 years of previous related experience Required
 
 
 &bull; Experience in a quantitative, analytical, or programming-heavy role Preferred
 
 
 &bull; Experience working in clinical research or clinical trial operations within the medical device industry Preferred
 
 
 &bull; Strong proficiency in Python for data analysis, including developing maintainable scripts and notebooks for clinical and operational datasets
 
 
 &bull; Proven expertise in Excel and PowerPoint and other MS Office Suite applications (Word, Access)
 
 
 &bull; Solid understanding of quantitative and statistical methodologies, with the ability to apply them pragmatically in a clinical operations context
 
 
 &bull; Experience with signal detection, trend monitoring, or anomaly identification in complex datasets preferred
 
 
 &bull; Good written and verbal communication skills and interpersonal relationship skills
 
 
 &bull; Strong problem-solving, organizational, analytical, and critical-thinking skills
 
 
 &bull; Moderate knowledge and understanding of client's policies, procedures, and guidelines relevant to clinical trial data analytics
 
 
 &bull; Strict attention to detail and data quality
 
 
 &bull; Ability to interact professionally with all organizational levels
 
 
 &bull; Ability to manage competing priorities in a fast-paced environment
 
 
 &bull; Ability to work collaboratively in team and cross-functional environments
 
 
 &bull; Ability to build productive internal and external working relationships
 
 
 &bull; Adhere to all company rules and requirements (e.g., Environmental Health &amp; Safety policies) and take appropriate measures to protect people, data, and the environment.
 
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Analyst, Data Analytics

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Analyst, Data Analytics