
Senior Software Development Lead
2 days ago
We are seeking a skilled software developer to join our team as a lead programmer. In this role, you will be responsible for providing programming support to various projects and clients.
The ideal candidate will have excellent skills in manipulating large databases and generating reports. Strong SAS and SQL programming skills are required along with complex logic implementation. Creating analysis data sets from various sources demands attention to outliers and errors.
- SAS or R programming is acceptable.
- Experience working with patient cohorts, healthcare events and observational research methods like epidemiology and statistical methods is highly desired.
- Real World Healthcare claims database experience is essential. Equivalent EU database experience to US Market scan/Optum is also valid.
- OMOP-Common data model experience is beneficial. Familiarity with this experience is sufficient.
- Strong SQL querying and extracting skills are necessary.
Key Responsibilities
In this position, you will be responsible for:
- Providing programming support to various projects and clients.
- Manipulating large databases and generating reports.
- Creating analysis data sets from various sources.
- Implementing complex logic in SAS and SQL.
- Working with patient cohorts, healthcare events and observational research methods.
- Ensuring accuracy and quality of data.
Benefits
As a lead programmer, you will enjoy a range of benefits including:
- Opportunities for professional growth and development.
- A competitive salary and benefits package.
- A dynamic and supportive work environment.
- Collaborative relationships with internal and client team members.
- Innovative ideas sharing and development opportunities.
Requirements
To be successful in this role, you will need to possess the following qualifications:
- Bachelor's degree in computer science, statistics, mathematics, or other high statistical content subjects.
- 7-8 years of experience in SAS statistical programming.
- Database programming using SQL.
- Experience with advanced statistical methods like survival and regression.
- Real world healthcare claims and EHR data experience.
Preferred Qualifications
While not required, the following qualifications would be an asset:
- Master's degree in epidemiology, biostatistics, computer science, or other high statistical content subjects.
- Training or experience using OMOP common data model.
- Python, R, Databricks or cloud-based software training or experience.
- Pharmaceutical industry experience.
- Epidemiological methods training or experience.
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