Senior Statistical Programmer FSP – RWD/EPI

Job not on LinkedIn

🕒 August 18

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🖥 Software Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 48%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Clinical Outcomes Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

🧬 Biotechnology

Consulting • Healthcare • Biotechnology

Clinical Outcomes Solutions is a global clinical outcomes consultancy that provides comprehensive support and services in all aspects of Clinical Outcome Assessment (COA) research. The company helps inform patient care by capturing the patient voice through innovative scientific methods. It guides organizations in navigating the complexities of clinical outcomes research by crafting strategies and solutions to capture accurate data. Trusted by pharmaceutical and biotechnology companies, the firm ensures regulatory compliance and optimized patient outcomes.

📋 Description

• Provide support to the Epidemiology team by preparing Real World data, advising on data analytic strategies, and supporting stakeholders in epidemiology analytic activities • Program and conduct statistical analysis under the direction and supervision of epidemiologists/statisticians, including data coding, algorithm creation, dataset linkage, and use of statistical packages or platforms • Support statistical programming for data standardization, visualization, and reporting of observational data • Support Medical Affairs, Global Patient Safety and Risk Management, and Clinical Development through analyses using RWD • Partner with Epidemiologists to manage internal and external stakeholder relationships • Prioritize and manage work across multiple projects and stakeholders • Provide communication to ensure successful and timely project delivery • Solve technical problems using experience and expertise • Assist in development of study protocols and analysis plans leveraging large RWD sources (Claims and/or EHR) • Liaise with data vendors to obtain relevant data extracts for research studies consistent with study protocols • Create analytical databases from data extracts • Conduct analyses consistent with study protocols and analysis plans • Produce tables and figures for investigators, clients, and study reports • Present results internally and to clients • Assist in preparing study reports and other deliverables • May have supervisory responsibilities in the future

🎯 Requirements

• Master’s degree or PhD in related field (epidemiology, biostatistics, statistics, bioinformatics, economics) and 5+ years of experience conducting RWE analytics for pharma industry, CRO, or academic institution • Intermediate to expert level proficiency in SQL is a must • SAS or R proficiency is required • Deep expertise analyzing RWE data sources such as Optum (Clinformatics Datamart® and Market Clarity), Truveta and UK Biobank • Experience analyzing clinical trial and/or registry data is desirable • Familiarity with relational databases and proficient understanding of claims and ancillary file layouts • Experience with applied statistics including regression analysis (OLS, longitudinal, logistic, Cox, GLM/GEE), survival analyses (Kaplan-Meier, cumulative incidence, accelerated failure time models), and propensity weighting • Excellent project management skills; ability to prioritize multiple tasks and goals to ensure timely completion • Confidence and competence when interacting with internal and external stakeholders • Strong written/verbal communication skills; highly effective at summarizing and presenting key considerations and evidence

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