263 Sas jobs available for remote work from home. Apply for positions such as Data Analytics Consultant (CP4D), Lead Biostatistician - Pharmacovigilance (PV) Focus, Strategic Account Specialist -- Manhattan New York City, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Analyze business needs to design and implement reporting and analytics solutions, including dashboards and information models. Act as the primary link between clients and technical teams throughout the solution lifecycle.
The Lead Biostatistician serves as the statistical lead for high-profile pharmacovigilance and safety-focused projects, designing studies and developing statistical analysis plans. They provide strategic leadership for real-world evidence generation and mentor junior biostatisticians to ensure quality and accuracy.
Lead a group of statistical programmers to deliver high-quality analysis datasets and integrated data packages for regulatory filings. Collaborate with biostatisticians and manage vendors to ensure accuracy and timeliness of clinical trial data analysis.
The role involves developing custom SAS code to generate summary tables, listings, and datasets according to statistical analysis plans. As a lead programmer, the candidate will direct programming activities, ensure quality standards, and mentor junior personnel.
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Lead the statistical strategy across Phase I-IV clinical studies from design through to regulatory submission. Provide expert guidance on methodology, oversee external CROs, and communicate findings to executive stakeholders.
The role involves bridging the gap between unstructured real-world clinical data and AI models by designing data dictionaries and harmonizing data pipelines. You will act as the technical interface with global partners to ensure data integrity and automate cleaning tasks using Python.
The role involves bridging the gap between unstructured real-world clinical data and AI models by designing data dictionaries and harmonizing data pipelines. You will act as the technical interface with global partners to ensure data quality and reproducibility using Python.
Design and implement robust statistical models and machine learning algorithms for large-scale predictive analytics. Lead end-to-end data science projects and mentor junior scientists to drive measurable business impact.
Identify industry-specific problems and build analytical applications using visual data science to streamline problem-solving workflows. Collaborate with internal teams and customers to present business value and create collateral for industry events.
Develop a multi-user browser-based collaboration system using React and WebRTC. Focus on creating a stable, production-ready front-end architecture for real-time communication.
Perform thorough model validation of credit decisioning and consumer lending models. Evaluate predictive accuracy against performance requirements and document results in concise reports.
Monitor and assess the health status of the USAF population by analyzing surveillance databases and conducting epidemiological studies. Provide technical support, create research protocols for IRB submission, and develop training materials for public health and epidemiology.
Independently manages statistical project support and provides expert consultancy for clinical trial designs and analysis plans. Develops and runs SAS programs for data reporting while ensuring compliance with regulatory standards like FDA and ICH.
Drive the adoption of the Chronosphere observability platform by leading strategic sales campaigns and cultivating relationships with Fortune 500 companies. Partner with core sales and alliance teams to align customer strategies with business objectives and translate technical solutions into business value.
Develop and implement statistical analysis plans (SAP) and study protocols for hematology clinical trials. Collaborate with cross-functional teams to analyze data, interpret results, and prepare reports for health authority submissions.
Transform complex health and operational data into interactive dashboards to support evidence-based decision-making for the U.S. Air Force. Collaborate with multidisciplinary teams to identify health trends and communicate analytical findings to stakeholders.
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The Senior Data Analyst produces dashboards and conducts advanced analysis of digital marketing and relationship programs to drive strategic decision-making. They collaborate with stakeholders to manage data logistics and present tactical recommendations based on analytical results.
Develop and optimize affiliate campaigns to drive qualified traffic, new customer acquisition, and revenue growth. Manage the full lifecycle of affiliate partnerships, including recruitment, contract negotiation, and performance reporting.
Lead the statistical strategy for clinical development products and evidence generation while supervising in-house and CRO statisticians. Act as the primary biostatistics expert for cross-functional teams and represent the company in interactions with regulatory authorities.
Direct the execution of statistical analyses and provide scientific validity for clinical development plans and regulatory submissions. Partner with cross-functional stakeholders to integrate statistical perspectives into data packages and regulatory meetings.
Build and test LLM-based solutions and applications using Token Factory's inference services. Assist with prompt engineering, model selection, and performance experiments to support proof-of-concept work.
Develop advanced mathematical and statistical models to improve force health protection and operational readiness for the U.S. Air Force. Analyze complex health and personnel datasets to support epidemiological research and evidence-based decision-making.
Collaborate with clinical investigators to design research studies, develop analysis plans, and manage and interpret study data. Provide statistical consultations, prepare publication-quality graphics, and educate research staff on statistical methods.
Develop predictive models for churn, propensity, and fraud detection while defining advanced statistical segmentations. Analyze customer behavior patterns and migrate analytical models to SAS Viya environments.
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