Programming and conducting statistical analysis under the direction and supervision of epidemiologists/statisticians including data coding, creation of algorithms, linkage of datasets, and use of ...
Programming and conducting statistical analysis under the direction and supervision of epidemiologists/statisticians including data coding, creation of algorithms, linkage of datasets, and use of ...
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Sr .NET Core Programmer Analyst@ Richmond, VA (Hybrid - Locals)
Richmond, VA · On-site
$44 - $59.50/hr
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Sr. Business Analyst
$91K - $118K/yr
Sr. Business Analyst Our team brings data, analytics, and insights to shape critical technology ... Statistics, Engineering * 1+ years of experience in Statistical model building * 1+ years of ...
Sr. Business Analyst
Mclean, VA · On-site
$93K - $120K/yr
Sr. Business Analyst Our team brings data, analytics, and insights to shape critical technology ... Statistics, Engineering * 1+ years of experience in Statistical model building * 1+ years of ...
Sr. Business Analyst
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$93K - $120K/yr
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Senior Statistical Programmer Analyst information
See Virginia salary details
$81.8K - $89.5K
2% of jobs
$89.5K - $97.1K
7% of jobs
$97.1K - $104.8K
14% of jobs
$106.1K is the 25th percentile. Wages below this are outliers.
$104.8K - $112.4K
13% of jobs
$112.4K - $120.1K
7% of jobs
The median wage is $125K / yr.
$120.1K - $127.8K
11% of jobs
$127.8K - $135.4K
10% of jobs
$135.4K - $143.1K
9% of jobs
$143.9K is the 75th percentile. Wages above this are outliers.
$143.1K - $150.7K
9% of jobs
$150.7K - $158.4K
6% of jobs
$158.4K - $166.1K
10% of jobs
$81.8K
$127.2K
$166.1K
How much do senior statistical programmer analyst jobs pay per year?
What are the key skills and qualifications needed to thrive as a Senior Statistical Programmer Analyst, and why are they important?
What does a Senior Statistical Programmer Analyst do?
How does a Senior Statistical Programmer Analyst typically collaborate with cross-functional teams in clinical research projects?
Key responsibilities
Assist in development of study protocols and analysis plans leveraging large real world data sources.
Conduct statistical analyses and create analytical databases from data extracts according to study protocols and analysis plans.
Produce tables, figures, and study reports, and present results internally and to clients.
Job description
You will contribute by:
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Providing support to the Epidemiology team by preparing Real World data, advising on data analytic strategies, and supporting stakeholders in various epidemiology analytic activities
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Programming and conducting statistical analysis under the direction and supervision of epidemiologists/statisticians including data coding, creation of algorithms, linkage of datasets, and use of statistical packages or platforms
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Supporting statistical programming to generate innovative means of data standardization, visualization, and reporting of observational data
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Supporting Medical Affairs (e.g. observational studies leveraging RWD); Global Patient Safety and Risk Management (e.g., analysis to obtain background rates) for the development of regulatory/safety documents, and Clinical Development (e.g.; assessment of patient populations/ protocol feasibility)
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The position will partner with Epidemiologists to manage relationships with internal and external stakeholders
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Being able to prioritize and manage work across multiple projects and stakeholders
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Providing strong communication to ensure successful and timely project delivery
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Solving technical problems with experience and expertise
Summary of Key Responsibilities:
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Assist in development of study protocols and analysis plans leveraging large RWD sources (Claims and/or EHR)
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Liaise with data vendors to obtain relevant data extracts for research studies consistent with study protocols
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Create analytical databases from data extracts to facilitate conduct of data analyses
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Conduct analyses consistent with methods set forth in study protocols and analysis plans
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Produce tables and figures for discussions with other investigators, clients, and for study reports
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Present results internally and to clients
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Assist in the preparation of study reports and other deliverables
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May have supervisory responsibilities in the future
What we’re looking for:
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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
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Intermediate to expert level proficiency in SQL is a must. In addition, SAS or R proficiency is required
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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
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Familiarity with relational databases and proficient understanding of claims and ancillary file layouts
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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
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Excellent project management skills; can prioritize multiple tasks and goals to ensure timely completion
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Confident and competent when interacting with internal and external stakeholders
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Strong written/verbal communication skills. Highly effective at summarizing and presenting key considerations and evidence
Cytel Inc. is an Equal Employment / Affirmative Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.