Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.
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 with the resources to pursue their goals, both at work and in their personal lives.
Position Purpose
Mentored by an experienced statistician and statistical programmer, the Junior Statistical Programmer will receive a project and will contribute in specific research questions related to statistics in clinical research, pre- or post-development, statistical tools.
Implementation of
SAS
methods in
R
and reverse, with detailed comparison and robustness testing, to identify situations in which SAS and R yield different results for general programs and for existing standard macros and outputs, as used by internal teams. The successful candidate should then explore if and how it is possible to obtain the same results. In situations where this is not possible, the advantages and disadvantages of different options can be discussed. You will benefit from the BMS working environment and be fully integrated in the Uxbridge Global Biometric and Data Science (GBDS) group. Key Responsibilities Conduct literature research Develop innovative statistical methods and/or computational tools Perform data analysis and simulations to demonstrate utility or research Present project work to internal and external stakeholders Write summary reports and manuscripts Outcome of Internship Deliver an internship report, in alignment with requirements from their university. Develop a PowerPoint presentation of their work and findings, and a possible guidance document for BMS internal use Internship outcomes may lead to publications and further research. Qualifications & Experience 6 month
placement, as part of the university, and should happen at least during July and August. Offered to
Master
or
PhD
student in
Statistics
(ideally Medical Statistics / Biostatistics) with good understanding of basic methodology of clinical research. Good working knowledge of using
R
and/or
SAS
and MS Office products (Word, Excel, PowerPoint). Knowledge or willingness to learn version control with
github Ability to work both collaboratively as part of a team and independently. Good verbal communication skills, ability to write clearly and effectively, in English language. Excellent interpersonal skills with professional attitude. Additional Requirements Right to work in UK Must not be employed at the time the internship starts.
#J-18808-Ljbffr
SAS
methods in
R
and reverse, with detailed comparison and robustness testing, to identify situations in which SAS and R yield different results for general programs and for existing standard macros and outputs, as used by internal teams. The successful candidate should then explore if and how it is possible to obtain the same results. In situations where this is not possible, the advantages and disadvantages of different options can be discussed. You will benefit from the BMS working environment and be fully integrated in the Uxbridge Global Biometric and Data Science (GBDS) group. Key Responsibilities Conduct literature research Develop innovative statistical methods and/or computational tools Perform data analysis and simulations to demonstrate utility or research Present project work to internal and external stakeholders Write summary reports and manuscripts Outcome of Internship Deliver an internship report, in alignment with requirements from their university. Develop a PowerPoint presentation of their work and findings, and a possible guidance document for BMS internal use Internship outcomes may lead to publications and further research. Qualifications & Experience 6 month
placement, as part of the university, and should happen at least during July and August. Offered to
Master
or
PhD
student in
Statistics
(ideally Medical Statistics / Biostatistics) with good understanding of basic methodology of clinical research. Good working knowledge of using
R
and/or
SAS
and MS Office products (Word, Excel, PowerPoint). Knowledge or willingness to learn version control with
github Ability to work both collaboratively as part of a team and independently. Good verbal communication skills, ability to write clearly and effectively, in English language. Excellent interpersonal skills with professional attitude. Additional Requirements Right to work in UK Must not be employed at the time the internship starts.
#J-18808-Ljbffr
