Description
Responsibilities:- Apply epidemiologic and statistical methods to address safety and benefit/risk issues
- Perform analysis of observational data to support publications, exploratory analyses and method development
- Implement and test new methods for data mining and other epidemiological analyses as well as new statistical software
- Adapt and apply computer intensive methods for high performance large scale screening and large data set analyses
- Plan and execute appropriate implementations of statistical models to optimize database study analyses
- Design, perform and document quality control checks for programming solutions including documentation of the programs and the process of producing tables, reports and analysis summaries
- Administer epidemiology databases and programming activities to increase study analysis efficiency
- Support ad-hoc requests from within or outside of the Epidemiology department
- Identify opportunities within the department for efficiency/process improvement, contingency plans, and alternate strategies, as appropriate
- Work within team environment to ensure alignment of common goals and maintain positive interaction with team members and internal peers
- Work independently on multiple projects prioritizing according to Analytics team and departmental needs
Technical Skills:
- Expertise in SAS/SQL programming including statistical analysis procedures and strong proficiency in SAS/Base, SAS/Stat, SAS/IML and SAS Macros and basic understanding of SAS/Graph
- Expertise in database creation, data mapping, data analyses, and quality assurance and generating appropriate documentation
- Demonstrable expertise with implementing programming solutions on very large data sets
- Experienced in establishing and implementing appropriate quality control when designing programming solutions in a pharmaceutical company
- Strong general computational skills with experience in several languages, software packages and applications such as: R, Perl, S-plus, C#, Visual Basic, Python, Java, Prolog, Spotfire, Matlab, WinBugs
- Experience with other statistical software packages (eg, SPSS, Stata, or SUDAAN )
- Experience using claims/health care data and/or public and private epidemiologic resources is preferred
- Experience with medical terminology and understanding of epidemiology research is preferred
- Expertise in data mining while not absolutely essential, is desirable
- Experience with visualization software is beneficial
- Experience with Oracle is preferred
- Strong organizational, written and oral communication skills
- Experience in conducting highly detailed tasks
- Ability to manage multiple projects simultaneously
- Possess or acquire expert knowledge needed for, but not limited to, data collection, data manipulation and analysis of very large databases
- Masters Degree in Computer Science or related field with a statistical focus is required
- Alternatively a Masters Degree in statistics (or a related field) with demonstrable focus on computer programming
- 2 years or more programming in the pharmaceutical industry, academia, and/or regulatory agencies
- SAS Certified