Temp - Statistical Programmer - Bernards (Blackwood)
Compensation: $125,240.00 - $176,770.00 /year *
Employment Type: Full-Time
Industry: Scientific Research
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Known for its scientific and operational excellence, Regeneron is a leading science-based biopharmaceutical company that discovers, invents, develops, manufactures, and commercializes medicines for the treatment of serious medical conditions. Regeneron commercializes medicines for eye diseases, high LDL-cholesterol, atopic dermatitis and a rare inflammatory condition and has product candidates in development in other areas of high unmet medical need, including rheumatoid arthritis, asthma, pain, cancer and infectious diseases.
A statistical programmer consultant provides timely support to the study team on all programming matters according to the project strategies. Requirements will be identified according to a Statistical Analysis Plan and programming specifications using internal standards and guidelines. The incumbent implements and executes the programming and project standards. Works independently in the design and testing of program logic, coding programs, program documentation and preparation of programs. Supports ongoing clinical studies requests for statistical and non-statistical analyses. Meets statistical ad hoc requests of senior management. Provides documentation and consistent maintenance of code, logs, and output in a regulated environment.
Support programmer within a study team involved in the creation and QC of analysis datasets TFL's or standard tools following Regeneron standard data models or user requirements.
Apply standard tools developed for the study or project. Participate in development of new standards and tools.
Follow all company SOP and guidelines in the creation of the programming deliverables.
Adheres to procedures surrounding retention of data, records, and information for clinical studies.
Statistical Programmer Consultant:
SAS, (Base, Stat, Macro, graph).
MS. (BS) in Statistics, Computer Science, Mathematics, Engineering, Life Science or related discipline with 5 -7 years of programming experience preferably in processing clinical trial data in the biotechnology, pharmaceutical or health related industry. SAS Certification a plus.
Experience in SAS programming, preferably in a clinical data environment.
Exposure of relational database structure
Understanding of reporting systems.
Experience with implementing standardization methodology.
Demonstrated teamwork and interpersonal skills, strong verbal and written communication skills in a global environment.
Ability to support study requirements with challenging timelines under direct supervision by the programming lead
This is an opportunity to join our select team that is already leading the way in the Pharmaceutical/Biotech industry. Apply today and learn more about Regeneron's unwavering commitment to combining good science & good business.
To all agencies: Please, no phone calls or emails to any employee of Regeneron about this opening. All resumes submitted by search firms/employment agencies to any employee at Regeneron via-email, the internet or in any form and/or method will be deemed the sole property of Regeneron, unless such search firms/employment agencies were engaged by Regeneron for this position and a valid agreement with Regeneron is in place. In the event a candidate who was submitted outside of the Regeneron agency engagement process is hired, no fee or payment of any kind will be paid.
Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.
LMR, Programmer, Programming, Statistical Programmer, Statistical Programming
Associated topics: .net, application architect, application developer, c, c/c++, java, perl, senior, senior software engineer, software engineer lead
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.
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