Principal Scientist, Machine Learning, ICV Predictive Sciences

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

Job Description

We seek a creative and passionate computational scientist to join the Immunology, Cardiovascular, & Fibrosis (ICF) team within Predictive Sciences, a globally distributed group driving innovative computational research for discovery and early development. In this role, you will use machine learning, and related approaches, to analyze high-dimensional readouts from perturbation experiments and integrate with patient profiling data. You will work as part of a cross-functional team focused on the development of disease-relevant cellular models of the immune system. In so doing, you will contribute to the discovery of targets and compounds that directly address unmet medical need in patients with inflammatory and autoimmune diseases.

Location: Cambridge, MA

Responsibilities

• Perform computational research on high-dimensional readouts from perturbation screens (e.g. CRISPR screens, perturb-seq, cellular imaging)
• Apply machine learning, and other advanced computational approaches, to compare high-dimensional experimental readouts to disease states defined by patient data (including transcriptomics, proteomics, single cell omics, and imaging)
• Work as part of a cross-functional team that will engineer and perform perturbation experiments in immune-related cellular models
• Work with external partners in industry, academia, and pre-competitive collaborations (e.g. NIH Accelerating Medicines Partnership, Open Targets) on novel computational and experimental approaches
• Communicate findings and recommend follow-up actions in multiple settings (including 1:1, seminars, and team meetings)

Basic Qualifications

• Bachelor's Degree from a recognized institution in a quantitative field such as computational biology, computational genomics/genetics, computer science, statistics, mathematics, or other related discipline and 8+ years of academic / industry experience

• OR Master's Degree from a recognized institution in a quantitative field such as computational biology, computational genomics/genetics, computer science, statistics, mathematics, or other related discipline and 6+ years of academic / industry experience

• OR PhD from a recognized institution in a quantitative field such as computational biology, computational genomics/genetics, computer science, statistics, mathematics, or other related discipline and 5+ years of academic / industry experience

Preferred Qualifications

• PhD from a recognized institution in a quantitative field such as computational biology, computational genomics/genetics, computer science, statistics, mathematics, or other related discipline
• 5+ years of post-graduate experience in computational biology research (biopharma industry preferred)
• Experience analyzing and integrating high-dimensional molecular datasets such as multi-omics (RNA-seq, ATAC-seq, proteomics), single cell (CITE-seq, scRNA-seq, scATAC-seq), and/or CRISPR screen datasets
• Advanced hands-on knowledge of at least one high-level programming language such as R or Python for computational research and reproducible research practices
• Experience implementing and/or developing statistical methodologies and machine learning algorithms applied to the biological problems
• Track record (such as scientific publications) in driving and advancing research projects/programs with computational approaches
• Scientific curiosity with an ability of self-learning
• Strong oral and written communication skills
• Background in immunology strongly preferred
• Experience applying machine learning to cellular imaging data preferred

The starting compensation for this job is a range from $121,000-$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 the where the job is performed.

Final individual compensation will be decided based on demonstrated experience.

For more on benefits, please visit our https://careers.bms.com/working-with-us.

Eligibility for specific benefits listed on our BMS Careers site may vary based on the job and location.

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol
Physical presence at the BMS worksite or physical presence in the field is a necessary job function of this role, which the Company deems critical to collaboration, innovation, productivity, employee well-being and engagement, and it enhances the Company culture.

COVID-19 Information
To protect the safety of our workforce, customers, patients and communities, the policy of the Company requires all employees and workers in the U.S. and Puerto Rico to be fully vaccinated against COVID-19, unless they have received an exception based on an approved request for a medical or religious reasonable accommodation. Therefore, all BMS applicants seeking a role located in the U.S. and Puerto Rico must confirm that they have already received or are willing to receive the full COVID-19 vaccination by their start date as a qualification of the role and condition of employment. This requirement is subject to state and local law restrictions and may not be applicable to employees working in certain jurisdictions such as Montana. This requirement is also subject to discussions with collective bargaining representatives in the U.S.

BMS is dedicated to ensuring that people with disabilities can perform complex functions through a transparent recruitment process, reasonable workplace adjustments and ongoing support in their roles. Applicants can request an accommodation prior to accepting a job offer. If you require reasonable accommodation in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

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