Current Employment Opportunities

1. SENIOR SAS PROGRAMMER/ANALYST

GENERAL SUMMARY/OVERVIEW STATEMENT:

SAS programmer for the Division of Pharmacoepidemiology and Pharmacoeconomics. Responsible for loading, documenting, and cleaning large and complex health care data sets, creating analytical data files, and running statistical analyses. Available to help investigators, junior researchers, and other staff with the use of data files within various clinical research projects.

PRINCIPLE DUTIES AND RESPONSIBILITIES:

1. Responsible for loading, validating, documenting, managing, and analyzing data for both internal and collaborative research projects.
2. Responsible for assisting with data storage and management issues around both new and ongoing projects within the Division.
3. Responsible for working with other research staff within the Division to help specify appropriate analytical data files for the research question under investigation.
4. Responsible for creating and carefully documenting all derived analytical data files so that they can be understood and used by other members of the research team.
5. Works with statisticians and researchers to implement the appropriate data analyses in SAS for a particular study. Uses additional statistical packages (S-Plus, Stata, etc.), or other high level programming languages as appropriate.
6. Documents and archives all aspects of analyses and data management.
7. Other responsibilities as assigned by the supervisor.

QUALIFICATIONS:

• Over 2 years of experience required, more than 5 years of experience with SAS programming in a health care environment preferred
• Proficiency with SAS/BASE (Data step programming) and SAS/SQL or other relational database software (e.g., Oracle)
• Experience with R is a plus
• Experience working with health care data
• Minimum Bachelors/Master’s preferred

SKILLS/ABILITIES/COMPETENCIES REQUIRED:

• Attention to detail
• Ability to manage and prioritize multiple projects
• Experience working in a UNIX environment
• Ability to work effectively as a member of a multidisciplinary research team

ADDITIONAL DESIRED SKILLS:

• Experience with statistical analysis and SAS/STAT procedures
• Experience with health care claims data
• Experience with relational database systems
• Graduate education in epidemiology, biostatistics, or computer science

Working Conditions: Professional Office Environment, Business Casual; working with a tight-knit, helpful, hard-working group of friendly people (Including 21 Harvard Medical School Faculty!)

Applicants should send a resume and cover letter to Raisa Levin at RLEVIN@partners.org and indicate where you saw the ad for this position.

Brigham and Women’s Hospital is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, ancestry, age, veteran status, disability unrelated to job requirements, genetic information, military service, or other protected status.

2. JUNIOR SAS PROGRAMMER/ANALYST

GENERAL SUMMARY/OVERVIEW STATEMENT:

The Junior SAS programmer/analyst will support the Division’s mission, working with a tight-knit, helpful, dedicated group of friendly people including over 20 Harvard Medical School faculty and 40 support members. The Junior SAS Programmer/Analyst will join a group of 8 experienced analysts. Division research is particularly focused on the use of large, administrative healthcare databases, such as health insurance claims and electronic health records, but may also be based on surveys and randomized trials.

PRINCIPLE DUTIES AND RESPONSIBILITIES:

1. Support faculty and other research staff with the creation of analytic data files and the conduct of statistical analyses.
2. Responsible for loading, validating, documenting, managing, and analyzing data for both internal and collaborative research projects.
3. Responsible for assisting with data storage and management issues around both new and ongoing projects within the Division.
4. Responsible for working with other research staff within the Division to help specify appropriate analytical data files for the research question under investigation.
5. Responsible for creating and carefully documenting all derived analytical data files so that they can be understood and used by other members of the research team.
6. Works with statisticians and researchers to implement the appropriate data analyses in SAS for a particular study. Uses additional statistical packages (S-Plus, Stata, etc.), or other high level programming languages as appropriate
7. Documents and archives all aspects of analyses and data management.
8. Participate in monthly programmer team meetings
9. Work closely with senior SAS programmers/analysts to develop skills

QUALIFICATIONS:

• 2 years of experience (which may be during education) required with SAS programming in a health care environment preferred
• Familiarity with SAS/BASE (Data step programming) and SAS/SQL
• Minimum Bachelors/Master’s preferred

SKILLS/ABILITIES/COMPETENCIES REQUIRED:

• Attention to detail
• Ability to manage and prioritize multiple projects
• Ability to work effectively as a member of a multidisciplinary research team

ADDITIONAL DESIRED SKILLS:

• Experience with SAS/STAT procedures
• Experience working in a UNIX environment
• Experience with health care claims data
• Experience with relational databases
• Experience with R
• Graduate education in epidemiology, biostatistics, or computer science

Working Conditions: Professional Office Environment, Business Casual; working with a tight-knit, helpful, hard-working group of friendly people (Including 21 Harvard Medical School Faculty!)

Applicants should send a resume and cover letter to Raisa Levin at RLEVIN@partners.org and indicate where you saw the ad for this position.

Brigham and Women’s Hospital is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, ancestry, age, veteran status, disability unrelated to job requirements, genetic information, military service, or other protected status.