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Location
Princeton, NJ, United States
Posted on
Jun 11, 2020
Profile
Bristol-Myers Squibb is a global Biopharma company committed to a single mission: to discover, develop, and deliver innovative medicines focused on helping millions of patients around the world in disease areas such as oncology, cardiovascular, immunoscience and fibrosis.
Join us and make a difference. We hire the best people and provide them with a work environment that places a premium on diversity, integrity, collaboration and personal development. Through a culture of inclusion, we create a better, more productive work environment. We believe that the diverse experiences and perspectives of all our employees help to drive innovation and transformative business results.
The Data Sciences Lead Programmer uses the SAS programming language and other software to integrate data from diverse sources for pharmacometric analyses in support of regulatory filings and internal decisions. The individual will prepare analysis data sets for use by pharmacometric modeling experts, and produce tables, listings, and figures, and assist in the preparation of pharmacometric reports and esubmission datasets with the support of other subject matter experts.
Leading programmers and applying expert knowledge of SAS to integrate clinical data and pharmacokinetic data to prepare analysis datasets for pharmacometric analysis in NONMEM and other modeling tools
Implement sophisticated algorithms to derive complex data sets, and address data issues
Demonstrate very strong attention to quality and detail and the ability to detect data anomalies
Employ Spotfire visualization software, and optimize the effective utilization and benefits of Spotfire
Attain and apply solid knowledge of pharmacokinetics, pharmacodynamics, and other scientific areas to partner with experts in order to integrate data sources efficiently and effectively
Prepare tables, listings, and figures, and assist in the preparation of pharmacometric reports, for filing with health authorities and responses to queries from health authorities
Develop and maintain competence in UNIX, Spotfire, R, Python and various Linux/UNIX tools including bash
Will use python to develop applications that bring efficiency to processes
Interact with internal and external partners utilizing excellent interpersonal and communication skills
Develop innovative technologies to improve workflows
Mentor junior programmers in the group.
Bachelor's degree in engineering, science, computer science, mathematics, or statistics
Excellent SAS programming language skills, especially the SAS DATA step and those PROCs necessary to manipulate data
At least four years experience in preparing SAS data sets for analysis
At least two years experience preparing SAS data sets for pharmacometric analysis in NONMEM, NLME, or WinNonLin
Solid understanding of pharmacokinetic data, clinical data, NONMEM concepts and data issues with programming NONMEM data sets.
Ability to implement sophisticated algorithms to derive complex data sets and address data issues.
At least 5 years of industry experience in preparing SAS data sets for analysis.
Very strong attention to quality and detail, and the ability to detect data anomalies.
Excellent interpersonal and communication skills.
SAS certified Clinical Trial Programmer for SAS 9.0
SAS certified Base Programmer for SAS 9.0
Skill with R.
Master's in engineering, science, computer science, mathematics, or statistics.
Competence in UNIX or Linux, and skill with bash scripting and UNIX filters.
Familiarity with principles of quality control and the validation of computer programs.
Bristol-Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees the resources to pursue their goals, both at work and in their personal lives.
Company: Bristol-Myers Squibb
Req Number: R1526263_EN
Updated: 2020-06-11 00:00:00.000 UTC
Location: Princeton,New Jersey
Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.
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