Principal Scientist, Machine Learning, Structural Bioinformatician

Company: Bristol Myers Squibb
Location: Cambridge, Massachusetts, United States
Type: Full-time
Posted: 02.SEP.2021
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Summary

At Bristol Myers Squibb, we are inspired by a single vision - transforming patients' lives through science. In oncology, hematology, immunol...

Description

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.**Machine Learning/ Structural Bioinformatician****Job Description**We are seeking a collaborative structural bioinformatician to join the Predictive Sciences team in the San Francisco Bay Area. You will be responsible for research and development of machine learning approaches and workflows to discover and optimize novel antibody-based biotherapeutics. This role provides the opportunity to work with subject matter experts on cross-functional teams to solve challenging problems in antibody design.**Responsibilities**+ Partner with project teams to create and implement machine learning models for novel biotherapeutics.+ Pioneer research on computational design and modeling to assess and optimize molecular design using a combination of internal and external datasets.+ Evaluate new computational approaches and their feasibility to molecular design.+ Communicate findings and recommend follow-up actions in multiple settings (including: 1:1, seminars, group, and project meetings).**Qualifications**+ PhD in structural bioinformatics, computer science, engineering, statistics, or similar with 5+ years of relevant experience.+ Proficient with cutting-edge machine learning approaches applied to structural biology problems.+ 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.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.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 any part of the recruitment process direct your inquiries to . Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.**Company:** Bristol Myers Squibb**Req Number:** R**Updated:** 2021-08-:52:08.599 UTC**Location:** Cambridge,MassachusettsBristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.

 
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