Associate Director Data Science

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.

Clinical Pharmacology & Pharmacometrics is a key partner in the quantitative integration an better characterize and differentiate compounds, thus adding value and enhancing decision quality throughout the R&D continuum. Data Science group is responsible for pharmacometric programming. Manage Data Sciences SAS Programmers in using 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 manager and all programmers 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. The manager and programmers will also do Python programming, Machine Learning and R programming to develop and implement tools for efficiency in programming and quality control.


Lead, manage, and mentor a team of SAS programmers in programming to support pharmacometric analyses in NONMEM and NLME
Responsible and accountable for high quality pharmacometric analysis datasets and reports across all therapeutic areas in CP&P
Lead several continuous improvement initiatives for process efficiencies.
Part of extended leadership team in CP&P.
Effectively communicate with cross functional teams with US, Europe, China and Japan
Participate in integration activities for overall CPP Book of work.
Manage outsourcing projects and establish expectations with vendors.
Apply expert knowledge of SAS to integrate clinical data and pharmacokinetic data for pharmacometric analysis, implement sophisticated algorithms to derive complex data sets, and address data issues
Very strong attention to quality and detail, and the ability to detect data anomalies
Subject matter expert in pharmacometric programming and related tasks.
Employ Spotfire visualization software, and act as expert resource in order to 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 esubmission packages including datasets, tables, listings, and figures, authoring datasection of the phamacometric report, for filing with health authorities and responses to queries from health authorities
Meet these goals by programming at an expert level in SAS, R on Linux and UNIX systems, and by creating effective visualizations in Spotfire. You will attain competence as necessary in Python and Machine Learning and various Linux/UNIX tools including bash
Excellent interpersonal and communication skills
Lead, manage, and mentor a team of SAS programmers in programming to support pharmacometric analyses in NONMEM and NLME
Responsible and accountable for high quality pharmacometric analysis datasets and reports across all therapeutic areas in CP&P
Lead several continuous improvement initiatives for process efficiencies.
Part of extended leadership team in CP&P.
Effectively communicate with cross functional teams with US, Europe, China and Japan
Participate in integration activities for overall CPP Book of work.
Manage outsourcing projects and establish expectations with vendors.
Apply expert knowledge of SAS to integrate clinical data and pharmacokinetic data for pharmacometric analysis, implement sophisticated algorithms to derive complex data sets, and address data issues
Very strong attention to quality and detail, and the ability to detect data anomalies
Subject matter expert in pharmacometric programming and related tasks.
Employ Spotfire visualization software, and act as expert resource in order to 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 esubmission packages including datasets, tables, listings, and figures, authoring datasection of the phamacometric report, for filing with health authorities and responses to queries from health authorities
Meet these goals by programming at an expert level in SAS, R on Linux and UNIX systems, and by creating effective visualizations in Spotfire. You will attain competence as necessary in Python and Machine Learning and various Linux/UNIX tools including bash
Excellent interpersonal and communication skillsMaster's degree in engineering, science, computer science, mathematics, or statistics
At least six years of pharmaceutical industry experience in preparing SAS data sets for analysis
At least four years experience preparing SAS data sets for pharmacometric analysis in NONMEM, NLME, or WinNonLin
Excellent SAS programming language skills, especially the SAS DATA step SAS MACRO and those PROCs necessary to manipulate data
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.
Experience with Spotfire
Experience with S or R
Experience in programming using SDTM data sets
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: R1526261_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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