Senior Principal Scientist, Machine Learning Computational Immunologist

Location
Redwood City, California
Posted
Sep 29, 2021
Ref
R1543618
Required Education
Bachelors Degree
Position Type
Full time

At Bristol Myers Squibb, we are inspired by a single vision transforming patients lives through science.In oncology, hematology, immunology and cardiovascular disease and one of the most diverse and promising pipelines in the industry each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.

Position Summary

We are seeking a collaborative machine learning scientist with expertise in computational immunology to join the Predictive Sciences team in the San Francisco Bay Area. You will be responsible for the research and development of computational approaches and workflows to identify new antibody targets, discover novel antibody-antigen binding partners, and establish optimal antibody binding characteristics. This role provides the opportunity to leverage large-scale proprietary datasets and work with subject matter experts on cross-functional teams to solve challenging problems in structural bioinformatics and how we engineer the next generation of biotherapeutics.

Responsibilities

  • Pioneer machine learning research into antibody-antigen interaction modeling and design using internal and external datasets.

  • Partner with project teams to advance sequence- and structure-based antibody discovery and design.

  • Develop and implement computational approaches and prediction algorithms that can map linear and three-dimensional epitopes, optimize binding scaffolds and library design to guide screening, identify and mature the affinity of antibody hits, and assess potential liabilities and optimal development options.

  • Communicate findings and recommend follow-up actions in multiple settings such as 1:1, seminars, group, and project meetings.

Experience and Qualifications

  • Ph.D. in structural bioinformatics, computer science, engineering, statistics, or similar with 8+ years of relevant experience or MS and 10+ relevant experience or BS and 15+ years of relevant experience.

  • Proficient with cutting-edge machine learning approaches.

  • In-depth understanding of deep learning, Monte-Carlo tree search, genetic, multi-task, and reinforcement learning algorithms.

  • Proven track record of contributing to and helping advance multi-disciplinary team projects.

  • Expertise with a high-level programming language such as R or Python for sophisticated data analysis and reproducible research practices.

  • Scientific curiosity with an ability to identify questions machine learning approaches can address, and the skills to develop solutions both independently and collaboratively.

  • Excellent problem-solving skills and teamwork.

  • Strong communication, data presentation, and visualization skills.

  • Knowledge in biochemistry or protein engineering is a plus.

Around the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

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.

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

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.

Our company is committed to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace adjustments and ongoing support in their roles. Applicants can request an approval of accommodation prior to accepting a job offer. If you require reasonable accommodation in completing this application or if you are applying to a role based in the U.S. or Puerto Rico and you believe that you are unable to receive a COVID-19 vaccine due to a medical condition or sincerely held religious belief, during or any part of the recruitment process, please direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

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