Data Scientist

At Johnson & Johnson, we believe health is everything.

Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

Job Function:
Data Analytics & Computational Sciences

Job Sub Function:
Data Science

Job Category:
Scientific/Technology

All Job Posting Locations:
Raritan, New Jersey, United States of America

Job Description:

Employer:       DePuy Synthes Sales, Inc.

Job Title:         Data Scientist

Job Code:        A011.4520

Job Location:  Raritan, NJ

Job Type:        Full-Time

Rate of Pay:    $143,000 - $158,000

Job Duties: Partner with data scientists, engineers, & business partners to build and deliver digital solutions.

Develop data science models and ensure real-world operationalization.

Responsible for design, development, programming methods, processes, & systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions across the company.

Manage data lifecycle including ingestion, contextualization, feature engineering, & operationalization for large volumes of structured and unstructured data for analytics and insights.

Develop software programs, algorithms and automated processes that cleanse, integrate, & evaluate large data sets from multiple disparate sources.

Maintain accountability for model recommendations throughout the entire lifecycle of product development, implementation, & adoption to drive business impact.

Analyze and map the complete patient journey across various touchpoints within the healthcare system, from initial diagnosis to post-treatment follow-up.

Identify pain points and opportunities for improvement in patient experience.

Work with all different claims data like Komodo, Definitive Healthcare, IQVIA, Clarivate, Acuity MD to identify total addressable market for medical devices used in Ambulatory Surgical Centers to increase business.

Develop and refine predictive models that use patient biometrics to recommend the optimal size of knee and hip implants.

Leverage machine learning algorithms and statistical analysis to improve accuracy with each surgery and customized to surgeon’s preference.

Develop and implement calibration algorithms for X-ray images to ensure accurate scaling and measurements, accounting for factors such as image distortion and patient positioning.

Ensure precise calibration to enable accurate medical analysis and implant prediction.

Develop and maintain automated ML pipelines in SageMaker to streamline the entire process of model training, validation, & deployment.

Develop and...