Principal Scientist, ICV Predictive Sciences

Key Skills

C Programming, C++, Computer Vision (CV), Data Analysis, Data Visualization, Design, Effective communication skills, Genetics, Genomic data, Java Programming, Machine learning techniques, Python Programming

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.

Job Description 

We seek a creative and passionate computational scientist to join the Immunology and Cardiovascular team within Predictive Sciences, a globally distributed group driving innovative computational research for discovery and early development. In this role, the successful candidate will apply computational methodologies to multi-modal data (genetics, omics, imaging) to enable the development of new therapeutics in partnership with the Immunology and Cardiovascular Thematic Research Center (ICV TRC). A key focus of this role will be to design and execute machine learning approaches that leverage multi-modal omics data from perturbation experiments aiming to recapitulate healthy states in cellular models of cardiovascular disease.     

Location: Brisbane, CA  which is in the Bay Area of Northern CA.

Responsibilities  

• Drive implementation of computational research to define mechanistic disease profiles from multi-omic data (transcriptome, proteome, interactome, etc) 
• Connect therapeutic hypotheses generated from experimental multi-omic data to specific patient populations (e.g. using supervised classification, machine learning approaches)  
• Collaborate as part of cross-functional teams to integrate cardiovascular cellular models of disease with multi-modal patient profiling data (genetics, imaging, EHR) 
• Work with internal and external partners (in academia and industry) to collect functional data and develop integrative methods to empower future precision discovery efforts in CV.  

• Participate in and oversight of scientific report writing, presentation of methods, results and conclusions to a publishable standard.  
• Communicate findings in multiple settings (including 1:1, seminars, group, and project meetings) 

Basic Qualifications

• Bachelor's Degree in a quantitative field such as bioinformatics, computational biology, genomics/genetics, computer science, statistics, or a related field  and 8+ years of academic / industry experience
• or Master's Degree in a quantitative field such as bioinformatics, computational biology, genomics/genetics, computer science, statistics, or a related field  and 6+ years of academic / industry experience
• or PhD in a quantitative field such as bioinformatics, computational biology, genomics/genetics, computer science, statistics, or a related field and 4+ years of academic / industry experience

Preferred Qualifications

• A Ph.D. in a quantitative field such as bioinformatics, computational biology, genomics/genetics, computer science, statistics, or a related field and 5 + years relevant post-graduate experience (biopharma industry preferred) 

• Proficiency with at least one high-level programming language (R, Python, C/C++) for complex data analysis and reproducible research practices 
• Experience implementing and/or developing statistical methodologies and machine learning algorithms applied to the biological problems 
• Experience in analysis of high-dimensional, high-throughput molecular data, such as single-cell omics (DNA, RNA, ATAC-seq), whole exome and genome sequencing, high-throughput proteomics 
• Demonstrated ability of contributing to and helping advance multi-disciplinary team projects 
• Strong communication, data presentation, and visualization skills 

• Track record of excellent interpersonal and communication skills, including ability to provide concise summaries of complex data to empower decision making.   
• Background knowledge in cardiovascular diseases preferable 

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.