Take a leading role in programming and delivering complex clinical study datasets and statistical outputs for global pharmaceutical trials. Oversee SDTM, ADaM, and TLF development, ensuring high-quality results while mentoring junior team members. Work closely with cross-functional teams, coordinating programming activities, managing resources, and contributing to submissions. Attention to detail and strong technical expertise are key.
Remote Data Jobs · SAS
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The Workforce Planning team is seeking a Senior Analytics lead to support call volume forecasting within our Service organization. This role will own long term forecasts for multiple call centers and consult on short term and partner volume forecasts, including understanding call volume drivers, such as policy sales/retention, telephony routing, eService/self service options, and underwriting/pricing changes. This role will create forecasts and review forecasts created by junior/contracted analysts and will own explaining those forecasts to service stakeholders.
As a Data Scientist, you will use your coding expertise (Python, SAS), model risk management and Gen AI experience, and analytic consulting skills to lead client and internal engagements for Experian's new global product launch and early client success efforts. You will collaborate with Engineering and Data Science teams in the design and implementation of Machine Learning, Dashboarding, Ad Hoc Analysis and AI applications in a cloud-native big data (AWS) computing platform.
We are looking for a talented and motivated person to act as a Data Developer, integrating with our team and contributing to the construction of scalable and intelligent solutions for large volumes of data. Responsibilities include designing, developing, and maintaining scalable and robust data pipelines, creating ingestion, transformation, and data modeling solutions using Databricks, Spark/PySpark, Cloudera, and Azure Data Factory (ADF).
The Analytics Consulting position will provide client consultation for analytical consulting engagements, including decision tool and strategy implementation and monitoring, statistical scoring validation, business intelligence, data quality, and analytical product / solution development for consumer solutions. Topics include optimization strategies, model development and usage and business intelligence consulting around portfolio profiling, market share and credit risk analysis. This is a fully remote position.
The Senior/Principal R Programmer Consultant will utilize advanced expertise in SAS, R, and Power BI to support clinical trial data analysis, reporting, and visualization. In this role, you will lead programming activities across multiple studies, ensuring high-quality and regulatory-compliant deliverables while enabling data-driven insights through interactive visualizations.
Responsible for the application of biostatistical methods to support clinical trials and data management, including statistical planning, design, analysis, and reporting throughout the project life cycle in accordance with project, organizational and regulatory standards. Act as subject matter expert, providing statistical support to project teams, quality/study auditors, and external stakeholders. Lead and develop a group of statisticians and SAS Programmers.
The Analyst will join the Customer Insights team of a high-growth Population Health and Analytics software company. Involves creation of high value analytics and reporting for Arcadia customers. We are seeking individuals who rely on data analysis, metrics, and visualizations to make decisions and are passionate about improving the way healthcare is delivered.
The Analyst I position is a key contributor to cutting-edge analytic work that spans the broad spectrum of healthcare data projects at HSAG. Driven by intellectual curiosity and a passion for healthcare quality, the Analyst I position supports innovative analytic plans that are intended to provide healthcare decision and policy makers with the necessary information to transform healthcare.
The Analytics Intern will work under the Statistical Analysis Manager and assist with data migration and analytics by extracting datasets from SAS and transforming them using Python or SQL to ensure more scalable and efficient analysis to build data models that create strategic insights.