SENIOR RESEARCH INVESTIGATOR

Organization
Bristol-Meyers Squibb
Job Location
Greater Newyork
Benefits

Full medical Insurance and  benefits and 401(k)

Job Description

We invite applications from highly motivated candidates for a Quantitative Biologist/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 all BMS therapeutic areas. We are looking for quantitative/computational

scientists to work at the exciting interface of mathematics, single-cell genomics, and cancer biology, in close collaboration with experimentalists and clinicians.

Requirements

• Ph.D with 2 years or Master’s degree with 5-6 years of experience in the quantitative sciences (i.e., Bioinformatics, mathematics or computer science). 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.

• Previous experience working in a fast paced pharma research matrix team in drug discovery environment is desirable.

• Research publications in Bioinformatics, computational biology, machine learning or physics. The ideal candidate will have experience dealing with NGS data and/or cancer biology.

• Effective communication skills, both written and oral.

• Above all, a passion for solving difficult research problems at the frontiers of big data in Biology.

How to Apply

please send send CV  and cover letter to stacey.boals.bms.com

Students whose classmates are interested in science are more likely to think about a career in science, technology, engineering, and mathematics, a new study says.

CNBC reports that the genetic counseling field is expected to grow as personalized medicine becomes more common.

Gladys Kong writes at Fortune that her STEM background has helped her as a CEO.

Social scientists report that the image of the 'lone scientist' might be deterring US students from STEM careers.