Job Description Summary

We are the makers of possible

BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities.

We believe that the human element, across our global teams, is what allows us to continually evolve. Join us and discover an environment in which you’ll be supported to learn, grow and become your best self. Become a maker of possible with us.

The Staff Scientist, Algorithms will be part of a multi-disciplinary Innovation team supporting a variety of medical and life sciences technologies and solutions with a focus on modelling and algorithm development. Interfacing closely with the experimental team, the Staff Scientist will apply a deep understanding of principles of physics, imaging, and data analysis to model and interpret data, develop image recognition and prediction algorithms, and recommend future experimental directions. This role requires the ability to understand and drive physics and engineering-based innovation projects. Because of this, the successful candidate will have a deep grounding in the fundamentals of physics and engineering along with subject matter expertise in machine learning, mathematical modelling, and algorithm development.

The Staff Scientist must be able to effectively collaborate with team members from varying backgrounds and should have strong oral and written communication skills. The successful candidate will have an interest in technically contributing to a broad range of areas in Medical Device development, Diagnostic development, and Life Science research tools. Reporting to a Senior Manager of Innovation, this is a technical position where the Staff Scientist will contribute significantly to exciting, high visibility projects and collaborations across the R&D portfolio.

Job Description

We are the makers of possible

BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities.

We believe that the human element, across our global teams, is what allows us to continually evolve. Join us and discover an environment in which you’ll be supported to learn, grow and become your best self. Become a maker of possible with us.

Job Responsibilities:

• Work with front-end innovation team to understand critical problems in Life Sciences and Medical Devices and recommend, develop, and test and implement mathematical models, simulations, and algorithms for interpreting and predicting results related to diagnostics, medical imaging / image identification, and other biomedical applications.

• Executes all phases of algorithm and ML model development and testing appropriate to early-stage innovation projects, including model research, data preparation and processing, model training and fine-tuning, model experimenting and evaluation, and model distribution to other members of the research team.

• Collaborate with R&D team and Data Scientists to engineer features for machine learning models.

• Use appropriate software tools, frameworks, and platforms to program and test algorithmic approaches.

• Interact closely with the experimental team and business partners to understand and reduce technical risk, identify potential failure modes, propose new algorithmic and experimental approaches, and prototype and test potential solutions.

• Investigate and resolve technical problems in collaboration with the experimental team to meet program objectives and timelines.

• Maintain up-to-date knowledge in the field of Machine Learning and AI and ensure best practices in algorithm implementation.

• Provide subject matter expertise in mathematical modeling to project team members.

• Prioritize work and independently executes it in support of timely completion of project goals.

• Ability to address large and complex problems as an individual contributor or as part of a larger team.

• Deal well with ambiguity and changing priorities.

• Interact with senior internal and external stakeholders to accurately communicate project status and help ensure a smooth transition of projects from the Innovation phase to product development.

Education and Experience:

• Ph.D. in Physics, Optics, or related field with emphasis on machine learning, mathematical modeling, or algorithm development

• 5+ years of experience in algorithm development and Machine Learning.

Knowledge and Skills:

Required

• Demonstrated strong understanding of predictive analytics algorithms (machine learning, deep learning) and statistical modelling techniques.

• Proficient programming and signal processing in multiple development environments (Matlab, Python, C++) and experience with machine learning frameworks and architectures (PyTorch, TensorFlow)

• Experience with data ETL, feature engineering, and visualization techniques.

• Strong knowledge of data management processes for large-scale datasets

• Experience with Cloud and Data platforms such as AWS, Azure, Databricks, etc.

• Excellent problem-solving abilities to analyze complex data and requirements towards practical solutions.

• Strong critical and creative thinking skills, analytical and quantitative problem-solving ability to come up with new solutions and approaches.

• Excellent written and communication skills – ability to document and explain complicated algorithms and problems to non-specialists in a clear and understandable manner.

Preferred skills:

• Experience with biosensor systems and analyzing biomedical time series data.

• Pattern recognition and/or image classification experience.

• Familiar with computer vision algorithms like object detection networks (e.g. YOLO) and modern image classification techniques.

• Knowledge of human physiology and monitoring methods

For certain roles at BD, employment is contingent upon the Company’s receipt of sufficient proof that you are fully vaccinated against COVID-19. In some locations, testing for COVID-19 may be available and/or required. Consistent with BD’s Workplace Accommodations Policy, requests for accommodation will be considered pursuant to applicable law.

Why Join Us?

A career at BD means being part of a team that values your opinions and contributions and that encourages you to bring your authentic self to work. It’s also a place where we help each other be great, we do what’s right, we hold each other accountable, and learn and improve every day.

To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of health. At BD, you’ll discover a culture in which you can learn, grow, and thrive. And find satisfaction in doing your part to make the world a better place.

To learn more about BD visit  https://bd.com/careers

Becton, Dickinson and Company is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, or any other protected status.

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Primary Work Location

USA NC - Research Triangle Park

Additional Locations

Work Shift

NA (United States of America)

Becton, Dickinson and Company is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, or any other protected status.