Senior Programmer – Oncology

Apr; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

A leading company in healthcare is seeking a senior programmer to manage large databases and produce insightful reports. This home-based role demands strong expertise in SAS and SQL, alongside a Master’s degree in a statistically rich subject. Ideal candidates will have the ability to create intricate analysis datasets while ensuring accuracy and attention to detail.

Qualifications

• Minimum four years SAS statistical programming experience.
• Experience with advanced statistical methods like survival and regression.
• Prior experience in building patient cohorts and using observational research methods.

Responsibilities

• Responsible for manipulating large databases and generating reports.
• Create complex analysis datasets derived from various data sources.
• Evaluate patient healthcare events using statistical methods.

Skills

SAS programming

SQL programming

Communication

Time management

Documentation skills

Education

Master’s degree in Epidemiology, Biostatistics, or related field

Tools

Oncology EMR databases

Python

R

Databricks

Job description

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The senior programmer will be responsible for manipulating large databases and generating reports to enable analysts to explore real world healthcare data assets. Candidates must have excellent SAS and SQL programming skills and the ability to implement complex logic. Candidates must be comfortable with creating complex analysis data sets derived from various data sources with a careful eye for outliers and errors. Prior experience building patient cohorts and evaluating patient healthcare events in large databases and using observational research methods such as epidemiology and statistical methods is strongly desired.

Strong communication, time management, enthusiasm and documentation skills are essential in this home-based position.

Basic Qualifications
• Master’s degree in Epidemiology, Biostatistics, Computer Science, or other subject with high statistical content
• Minimum four years SAS statistical programming experience
• Experience with Oncology EMR databases such as Flatiron or McKesson
• Experience with Oncology specific advanced statistical methods such as survival, regression, KM Curves, Censoring, etc.
• Database programming using SQL
• Experience with real world healthcare data such as MarketScan, Optum, EMR, PharMetrics, and/or Medicare databases.Candidates who only have experience with smaller research type analytic data will not be considered.

Preferred Qualifications
• Training or experience using the OMOP common data model
• Training or experience with Python, R, Databricks or other cloud-based software
• Pharmaceutical industry experience
• Training or experience in epidemiological methods

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