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Bristol Myers Squibb

Principal Scientist, Discovery BioSciences – Integrative New Targets, Oncology

Reposted 21 Days Ago
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In-Office
Cambridge Crossing, City of Boston, MA, USA
156K-189K Annually
Senior level
In-Office
Cambridge Crossing, City of Boston, MA, USA
156K-189K Annually
Senior level
The Principal Scientist will lead AI/ML efforts in cancer biology, driving data science methodologies for oncology drug target discovery, collaborating across teams to enhance innovation and validate new therapeutic strategies.
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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. 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.

The Oncology Thematic Research Center at BMS is a key research and early development engine, responsible for the discovery and development of novel oncology therapeutics for patients.  Centered at our state-of-the-art research sites in Cambridge and Seattle, scientists focus on novel targets and pathways for tumors that are refractory to current therapies.  With a deep understanding of the causal human biology, we are able to leverage our multiple modality platforms to best match the modality to the mechanism and desired outcome.  We are a fully integrated drug discovery through translational and early clinical development organization which exploits state-of-the-art in vitro, in vivo and ex-vivo models of Cancer biology and Immuno-oncology to identify and validate targets.   We partner closely with colleagues in Translational Medicine, Informatics and Predictive Sciences and Early Clinical Development to generate biomarker and patient enrichment hypotheses to enable efficient decision making in early clinical trials.  We are optimally positioned to complement the world-class translational expertise, biology and leading academic research centers in the area.

Our Bristol Myers Squibb research site in Cambridge Crossing will help us continue to deliver on our mission, positioning the company and our scientists in the heart of a vibrant ecosystem of world-class science, innovation, and business opportunities.

Position Summary:

We are seeking a highly motivated and innovative AI/ML scientist with experimental cancer biology experience to lead efforts at the intersection of agentic AI, machine learning, functional genomics, and target discovery. In this role, you will identify, create, and validate datasets, and contribute to the development of advanced algorithms and agentic-based tools to discover new therapeutic options within Oncology. In close partnership with cross-functional teams, you will integrate outputs yielding from functional screens, diverse ‘omics and real-world data to identify and novel actionable insights for testing. This role offers a unique opportunity to transform new target identification by enhancing predictive and analytical capabilities to meaningfully accelerate oncology target discovery and improve patient outcomes. 

Position Responsibilities:

In the role as a Principal Scientist within Discovery BioSciences, the ideal candidate will:

  • Drive high-quality data science that is grounded in deep understanding of biology/mechanisms by contributing, developing and pressure testing applied data science methodologies and approaches to identify new targets for oncology drug development.

  • Co-develop, communicate, and execute a multi-disciplinary research strategy to enable and enhance innovation in the identification of Oncology new targets by incorporating identified datasets and validating hypotheses yielding from AI/ML approaches.

  • Closely align with the Informatics and Predictive Science teams to drive a portfolio of data-science driven integrative New Target projects for Oncology, and drive collaborative innovation to inform large and small molecule inhibitor target modalities.

  • Collaborate on the development and implementation of innovative machine learning algorithms, AI/foundation models, and platforms to enable the delivery and validation of novel target insights with the BMS IPS, AI/ML, and other technology-focused teams.

  • Play a leading role in matrix teams centered around key technologies such as new leads and computational chemistry, genomics, proteomics, and spatial technologies.

Basic Qualifications: 

  • Bachelor’s Degree

    • 8+ years of academic and / or industry experience

Or

  • Master’s Degree

    • 6+ years of academic and / or industry experience

Or

  • Ph.D. or equivalent advanced degree in the Life Sciences 

    • 4+ years of academic and / or industry experience

Preferred Qualifications:

  • This position will be located at the Cambridge, MA site and will not have the ability to be located remotely.

  • PhD with 4+ years of experience or MS with 6+ years of experience in cancer biology with a strong scientific mindset and a solid foundation for the application of computational biology, systems biology, and statistical approaches.

  • Strong understanding of analytical and computational approaches and methodologies for functional genomics, single cell and spatial ‘omics.  

  • Broad experience with generating and analyzing genomics, proteomics data and/or functional genomics datasets.

  • Experience in executing target identification strategies including the design, implementation, and validation of targets from forward and reverse genetic and/or phenotypic screens by use of genome engineering techniques, molecular biology, and genetic perturbation (eg shRNA, CRISPR, degron tagging of endogenous loci) is required.

  • Demonstrated expertise in uncovering mechanistic biology that best informs target modality for drug discovery efforts is preferred.

  • Excellent communication and cross-collaborative skills, with the ability to operate effectively in fast-paced research environments and influence diverse stakeholders.

  • Strong understanding of functional oncology targets such as mutated oncogenes as well as principles around identifying cell surface targets for modalities such as antibody-drug conjugates, T-cell engagers, multispecifics, and radioligand therapies.

  • Excellent communication skills, with the ability to communicate complex data insights and recommendations to cross-functional teams and stakeholders.

  • Proven history of contributions to the scientific community in the form of papers and/or conference presentations.

  • Experience in applying AI/machine learning and statistical modeling techniques.

#LI-Onsite

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.

Compensation Overview:

Cambridge Crossing: $156,180 - $189,252

The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job-related knowledge, and experience. 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 https://careers.bms.com/life-at-bms/.
 

Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:

  • Health Coverage: Medical, pharmacy, dental, and vision care.

  • Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).

  • Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.

Work-life benefits include:

Paid Time Off

  • US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)

  • Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays

Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.

All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

*Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.

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 a supportive culture, promoting global participation 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

BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

Supporting People with Disabilities

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

Candidate Rights

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

If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at [email protected]. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.

R1600834 : Principal Scientist, Discovery BioSciences – Integrative New Targets, Oncology

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