Statistical Programmer

Employer
Merck
Location
Upper Gwynedd, PA, US
Posted
April 10 2018
Discipline
Other
Organization Type
Pharma
Requisition ID: STA000908

Thisposition supports statistical programming activities for the Merck Center forObservational and Real World Evidence (CORE). The statistical programmer utilizes SAS and possibly other programming languagesto manipulate electronic healthcare databases to discover disease prevalenceand risk factors, describe drug utilization patterns and disease progression,support market research, and answer clinical development questions. In thisrole, the statistical programmer will work with other programming colleagues togather and interpret user requirements from CORE scientists (e.g.epidemiologists and outcomes research scientists), retrieve the required datafrom electronic healthcare databases, and develop disease cohorts, analyticaldata sets, tables and figures under the guidance of a senior levelprogrammer.  The statistical programmerwill also perform validation activities following departmental SOPs.

Your role at Merck is integral tohelping the world meet new breakthroughs that affect generations to come, andwe’re counting on your skills and inventiveness to help make meaningfulcontributions to global medical advancement. At Merck, we’re inventing forlife. 

 

If you need assistanceand/or a reasonable accommodation due to a disability during the application orthe recruiting process, please send a request tostaffingaadar@merck.com.

  

Search Firm Representatives PleaseRead Carefully: 

Merck & Co., Inc. is notaccepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails.  All resumes submitted by search firmsto any employee at Merck via email, the Internet or in any form and/or methodwithout a valid written search agreement in place for this position will bedeemed the sole property of Merck.  No fee will be paid in the event thecandidate is hired by Merck as a result of the referral or through other means.

 

For more information about personalrights under Equal Employment Opportunity, visit:

 

            EEOC Poster

            EEOC GINASupplement    Qualifications

Education Minimum Requirement: 
BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 2-4 years professional SAS programming experience. MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field.

Required Experience and Skills: • Good interpersonal skills and ability to negotiate and collaborate effectively• Good English written, oral, and presentation skills• Knowledge and experience in developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings)• Takes direction effectively and completes tasks at a project level; ability to collaborate with key stakeholders• SAS programming experience including data steps, procedures, SAS/MACRO, SAS/GRAPH• Ability to quickly and effectively learn new program techniques and data structures; capacity to seamlessly assimilate to new projects• Ability to comprehend analysis plans which may describe observational research and statistical programming methodology to be programmed• Efficiently manipulates large databases including complex data preprocessing, filtering and manipulation• Willingness to work in an exploratory environment, handling non-standard data in a variety of formats with minimal requirements• Takes direction effectively and completes programming tasks under the guidance of a senior programmer at a project level• An interest to advance career by investing in development activities and taking on tasks with increasing levels of challenge and responsibility


Preferred Experience and Skills:
• Experience with other programming languages or scripting such as R, Python or Hadoop, with real world data or big data • Working knowledge of reporting processes (SOPs) and software development life-cycle (SDLC)• Unix operating system experience; Oracle SQL experience; systems and database experience; experience implementing sampling strategies for large data• Experience working with coding systems such as ICD-9, READ/OXMIS, and ICD-10• Understanding of observational research or statistical terminology and concepts• Understanding or experience with OMOP CDM data standards• Ability and interest to work across cultures and geographies• Experience in process improvement


Job: Statistical Programming
Other Locations:
Employee Status: Regular
Travel: No
Number of Openings:
Shift (if applicable):
Hazardous Materials:
Company Trade Name: Merck

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