Bristol-Myers Squibb Company

Senior Research Investigator

Hopewell, NJ, United States
Aug 09, 2019
Required Education
Position Type
Full time
Bristol-Myers Squibb is a global biopharmaceutical company whose mission is to discover, develop and deliver innovative medicines that help patients prevail over serious diseases.

One shared journey is moving us forward at Bristol-Myers Squibb. Around the world, we are passionate about making an impact on the lives of patients with serious disease. Empowered to apply our individual talents and ideas so that we can learn and grow together. Driven to make a difference, from innovative research to hands-on community support. 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.


We invite applications from highly motivated candidates for a Quantitative Biologist/Bioinformatics analyst working on Next generation sequencing data analysis using computational biology tools. The successful candidate will support various data analysis needs of the Next generation sequencing core group which supports many therapeutic areas with the programs. Experience in Implementation of new Bioinformatic methods is plus.

We are looking for quantitative/computational scientists to work at the exciting area interfacing mathematics, single-cell genomics, and cancer biology, in close collaboration with experimentalists and clinicians. The scientist is expected to exhibit resourcefulness and independence, developing new statistical models of high-dimensional data and implementing computational pipelines. Previous experience working with and developing new NGS data analysis tool is desirable.

  • Ph.D level degree in the quantitative sciences (i.e., Bioinformatics, physics, mathematics or computer science) or M.Sc with 5 years' demonstrated experience. Candidates with a degree in the life sciences but with a proven quantitative research record will also be considered.
  • Expertise in scientific programming, e.g. Python, Perl or R. Proficiency working in a Linux environment, with large data sets, computer clusters, and databases.
  • Research publications in Bioinformatics, Computational biology, machine learning or physics.
  • The ideal candidate will have experience dealing with NGS data or single cell genomic data and/or cancer biology.
  • Previous experience working in a fast paced pharma research matrix team in drug discovery environment is desirable but not required.
  • Effective communication skills, both written and oral.
  • Above all, a passion for solving difficult research problems at the frontiers of big data in Biology.