Senior Principal Scientist - Machine Learning/Immuno-Oncology

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

Overview

We seek an enthusiastic, creative and collaborative computational researcher with strong expertise in developing and applying cutting edge machine learning methods to high-dimensional perturbation and patient profiling datasets for discovering and developing next-generation cellular and immune therapies for oncology. The successful applicant is expected to play a key role in designing and implementing innovative predictive modeling strategies across a variety of multi-modal and single cell genomic profiles from disease models and translational tissue samples to help develop next generation cellular therapies that are engineered to achieve high degree of therapeutic success in heme and solid tumors.

The candidate will work in a computational research group within a global IPS organization and alongside Immuno- Oncology and Cellular Therapy Thematic Research Center (IO/CT TRC) colleagues in Seattle to optimize engineering of cell therapies, identify molecular mechanisms to improve efficacy, and reduce potential toxicities.

Responsibilities

Working in collaboration with computational, biological and clinical scientists across the Bristol Myers Squibb IPS, and IO/CT organizations, responsibilities include but are not limited to:

• Develop integrative analysis strategies for high content, high-throughput cell imaging and molecular profiling data sets including single cell RNA/ATAC/CITE-Seq, and perturbation screens leveraging CRISPR/ZFN based technologies to characterize complex milieu of immune cellular models
• Develop ML-based representations of functional genomic screening outputs mapped to patient profiling datasets to identify causal drivers of specific cell states
• Collaborate with cross-functional team to design perturbation experiments using appropriate screening platforms and engage with broad discovery teams to translate computational insights into therapeutic concepts
• Participate in authorship of scientific reports in static and interactive formats, and present methods and conclusions to publishable standards

Basic Qualifications

• Bachelor's Degree in computer science, computational biology, bioinformatics, genetics, statistics or related fields with 10+ years of academic / industry experience.
• OR Master's Degree in computer science, computational biology, bioinformatics, genetics, statistics or related fields with 8+ years of academic / industry experience.
• OR PhD in computer science, computational biology, bioinformatics, genetics, statistics or related fields with 6+ years of academic / industry experience.

Preferred Qualifications

• PhD degree and/or post-doctoral experience in computer science, computational biology, bioinformatics, genetics, statistics or related fields with a strong publication record
• Demonstrated ability to derive insights from: latent representations of high-dimensional data using self-supervised learning based approaches such as variational auto-encoders; predictions from high throughput perturbational datasets using generative methods; probabilistic modeling incorporating causal graphs.
• Demonstrated ability to analyze and infer molecular mechanisms from bulk and single cell NGS data (e.g., RNA-seq, ATAC-seq, CRISPR screening, immune sequencing)
• Expertise in algorithmic implementation, statistical programming and data manipulation using middle-level languages or Python/R, contemporary, open-source bioinformatics tools, collaborative development skills using readable, reproducible, efficient code and version control systems (e.g. Git), familiarity with Unix shell and use of virtualized working environments (e.g. Docker)
• Demonstrated experience working with cloud computing services (e.g. AWS)
• Proven problem-solving skills, collaborative nature and flexibility across multiple research domains
• Ability to work independently and also as a member of a global analytical research team in a fast-paced environment
• Familiarity with cell biology, immunology, oncology, or biologics a plus
• Fluent verbal and written English language skills

The starting compensation for this job is a range from $159,000-$185,000, 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.

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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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