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Software Vision Engineer Intern

AT BD
BD

Software Vision Engineer Intern

Durham, NC

Job Description Summary

BD Parata Software Vision Engineering team has a Software Vision Engineer Internship for 3 months June through August. The high-level work plan envisioned for this opportunity would include the following milestones.

At the beginning is developing a proof of concept of incorporating a data pipeline to manage different datasets, management of datasets, and incorporation of a data pipeline through the development of the proof of concept called VisionWatch. This is an internal tool and application to assist the Vision team under Blister to manage, develop, and track the various datasets for training and validating

Second component is developing and handing the datasets to the Automation aspect to ensure that the training team can begin training the Deep Learning models based on the images and annotations that have been provided

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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.

BD Parata Computer Vision Portfolio currently serves 4 use cases in our Adherence Packaging SW Portfolio with Blister, Perl, MedInspect and Dimensio algorithms that are leveraging computer vision and AI/ML to improve Pharmacy workflow and Pharmacist Verification 2 to ensure accuracy of the prescription fulfillment process. The use of Computer Vision Technologies serves to provide guidance to the end users to identify what needs to be corrected/reviewed and reduce Pharmacist Fatigue. The Computer Vision strategy is to continuously improve computer vision and algorithms across our globally installed assets by increasing automation, identifying and defining features and review extensibility to more product areas that could benefit from computer vision in their workflows to improve accuracy and performance of each product.

Pharmacy Automation is the fastest growing portfolio within the MMS business unit because pharmacies are investing like never before to address emerging challenges and opportunities arising from fundamental changes to their traditional business models.

  • Changing Economic Model: Reimbursement trends, labor shortages and rising labor costs compress margins for labor-intensive dispensing operations. For example, Pharmacy Tech wages have increased 33% since 2015.
  • Shifting Patient Preferences: Consumerism has created expectations of more modern personalized and real time experiences.
  • Expanding Clinical Responsibility: 77% of patients now view pharmacists as an integral part of the care team.

Pharmacies are an essential element of the healthcare delivery system that promote medication access, safety and adherence while also taking a broader role in care delivery. In the US alone, there are over $7B of prescriptions processed annually, representing >$500B of annual expenditure. Automation unlocks revenue growth and profit margin expansion for pharmacies across all end markets and dispensing formats. BD is the global pharmacy automation leader in high volume packaging and retail dispensing, addressing customers' most pressing issues in safety and efficiency. The TLDP would have an opportunity to join a rapidly growing R&D team focused on solving some of BD's most tangible needs in the market with focus on the Vision Portfolio which is seen an area where we can be a market differentiator.

The high-level work plan envisioned for this opportunity would include the following milestones.

  • At the beginning is developing a proof of concept of incorporating a data pipeline to manage different datasets, management of datasets, and incorporation of a data pipeline through the development of the proof of concept called VisionWatch. This is an internal tool and application to assist the Vision team under Blister to manage, develop, and track the various datasets for training and validating
  • Second component is developing and handing the datasets to the Automation aspect to ensure that the training team can begin training the Deep Learning models based on the images and annotations that have been provide
  • The intern has responsibilities of working with the development team, product owners, and technical leads to align with the backlog and product development needs.

    • Meet regularly with the team
    • Collaborate with team members
    • Provide and develop pull requests and develop software pipeline
    • Align with software development best practices
    • Integrate to cloud environments

Skills and Experience:

  • Pursuing a degree in Computer Science, Data Science, Statistics, Mathematics, or a related field and/or years of experience
  • Ability to use office tools, including Microsoft Office
  • Software Application Development Experience
  • Experience with developing predictive data models, quantitative analyses, and visualization of targeted data sources
  • Proficiency in SQL, Python or R, and Python libraries such as Pandas, Numpy, and scikit-learn.
  • Knowledge of data science / ML modeling approaches (e.g. time series forecasting, logistic regression, and gradient-boosted decision trees).
  • Exposure to data aggregation platforms based on technologies such as Spark, SQL, Azure, DataFactory, Azure Synapse Analytics, Azure databricks, Azure functions etc

At BD, we prioritize on-site collaboration because we believe it fosters creativity, innovation, and effective problem-solving, which are essential in the fast-paced healthcare industry. For most roles, we require a minimum of 4 days of in-office presence per week to maintain our culture of excellence and ensure smooth operations, while also recognizing the importance of flexibility and work-life balance. Remote or field-based positions will have different workplace arrangements which will be indicated in the job posting.

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 Employer. We evaluate applicants without regard to 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, and other legally-protected characteristics.

#earlycareer

Required Skills

Optional Skills

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Primary Work Location

USA NC - Durham - Roche Drive

Additional Locations

Work Shift

Client-provided location(s): Durham, NC, USA
Job ID: BD-82145590848
Employment Type: Intern