Principal Scientist, Translational Bioinformatics Late Stage Immunology, Cardiovascular and Neurology

Key Skills

Aartificial intelligence, Bioinformatics, Genetics, Machine learning techniques, Statistics

Job Description

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. Read more: careers.bms.com/working-with-us.

When you join BMS, you are joining a diverse, high-achieving team united by a common mission. 

The Informatics and Predictive Sciences (IPS) mission is to Pioneer, Partner and Predict to drive transformative insights for patient benefit. IPS conducts applied computational research in areas that include genomic, structural and molecular informatics, computational and systems biology, patient selection and translational biomarker research, and broader fields including knowledge science, epidemiology and machine learning—across the full lifecycle of drug discovery and development and across all therapeutic areas at BMS. We do this in close partnership with scientific and clinical experts in the field, both inside and outside the company.  We perform innovative science to empower key data-driven decisions across a rich pipeline of next-generation medicines. In doing so, our work transforms the lives of patients, as well as our own lives and careers.

Here, you’ll get the chance to grow and thrive through opportunities that are uncommon in scale and scope. You’ll pursue innovative ideas while advancing professionally alongside some of the brightest minds in biopharma.

We are seeking a highly motivated bioinformatician with discovery, preclinical or clinical experience to join our Translational Bioinformatics Immunology, Cardiovascular and Neurology (ICN) team, within Informatics and Predictive Sciences group. The successful candidate will help advance Bristol Myers Squibb’s industry leading ICN programs through the strategic application of cutting edge bioinformatics approaches. 

Responsibilities

Analyze various -omic-scale data generated from human subjects in BMS clinical trials and other observational cohorts including RNA-Seq, Exome and Whole Genome Sequencing, high throughput proteomics, and multiplex flow cytometry to build comprehensive understanding of diseases, identify segments of patients with unmet medical needs, form drug combination strategy and inform new targets prioritization. Generate testable and interpretable hypotheses from patient derived data sets to inform precision discovery programs.

Maximize application of clinical data on research and early pipeline programs via reverse translation projects in close partnership with teams across Research and Development, including bioinformaticians, statisticians, biologists, biomarker leads, and clinicians. Define and execute statistical/computational analysis plans.

Participate in authorship of scientific reports and present methods and conclusions to publishable standards.

Basic Qualifications:

• Bachelor's Degree in bioinformatics, engineering, statistics, physics, molecular biology, genetics, or a similar discipline and 8+ years of academic / industry experience
• or Master's Degree in bioinformatics, engineering, statistics, physics, molecular biology, genetics, or a similar discipline and 6+ years of academic / industry experience
• or PhD in bioinformatics, engineering, statistics, physics, molecular biology, genetics, or a similar discipline and 4+ years of academic / industry experience

Preferred Qualifications:

• Ph.D. in bioinformatics, engineering, statistics, physics, molecular biology, genetics, or a similar discipline.
• Five (5) or more years relevant experience in preclinical or clinical research for principal scientist level
• Position can be filled at a different level based on depth of experience and scientific expertise
• Experience and expertise integrating large, complex, sparse, non-oncology multi-modal data sets including germline genetics, disease biopsies, circulating biomarkers, and reference single-cell -omics.

• Expertise in modern AI/ML methods to generate testable and interpretable hypothesis regarding causal disease biology, and identification of homogeneous subsets of patients’ complex disorders
• Problem-solving and collaboration skills, rigorous and creative thinking
• Ability to communicate effectively with biologists and computational scientists.
• Proficiency using high level programming languages (R and Bioconductor packages preferred)
• Background in immunoscience, cardiovascular or neurological diseases preferred
• Proven track record of independent research under minimal supervision.

The starting compensation for this job is a range from $121,000 to $167,200 plus incentive cash and stock opportunities (based on eligibility).

The starting pay rate takes into account characteristics of the job, such as required skills and where the job is performed.

Final, individual compensation will be decided based on demonstrated experience.

Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit our BMS Career Site.

Benefit offerings are subject to the terms and conditions of the applicable plans then in effect and may include the following: Medical, pharmacy, dental and vision care. Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP). Financial well-being resources and a 401(K). Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support. Work-life programs include paid national holidays and optional holidays, Global Shutdown days between Christmas and New Year’s holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Parental, caregiver, bereavement, and military leave. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources. Other perks like tuition reimbursement and a recognition program.