Massachusetts Healthcare Jobs

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:

Career Programs

Job Sub Function:

Non-LDP Intern/Co-Op

Job Category:

Career Program

All Job Posting Locations:

Danvers, Massachusetts, United States of America

Job Description:

Johnson & Johnson is currently seeking a Data Science Co-op to join our Innovation team located in Danvers, MA .

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/ (https://url.us.m.mimecastprotect.com/s/MR_SCqxD2Oivo14wsZygBQ?domain=jnj.com/) .

POSITION SUMMARY

The Applied Research - Critical Care team is looking for a co-op or intern to support our early-stage research and development programs. The candidate will be involved in solving data science and data analytics problems. With defined requirements, the candidate will be responsible for designing algorithms for products, building machine learning tools and doing data analysis.

• Implement machine learning for new or existing algorithms

• Design and translate algorithms for products and internal analysis tools

• Research in new applications of data science within the company

• Conduct data analysis for internal or external groups

KEY RESPONSIBILITIES

The student will:

• Assist in the design and training of Machine Learning models for Clinical Decision Support

• Provide input into process development and improvement

• Analyze data and present results to larger Engineering team

REQUIREMENTS

• Senior or Grad student pursuing a degree in data science, computer science, computer engineering, software engineering, AI, or statistics Strong Machine Learning background with Deep Learning experience (Tensorflow, Keras Pytorch), time series modeling experience

• Proficient in at least one programming language (Python preferred) and solid understanding of data structures & algorithms.

• Solid understanding of statistics, strong analytical skills

• Self-motivated, execute tasks in a timely manner

• Demonstrated communication skills, both written and verbal

PREFFERED REQUIREMENTS

• Demonstrated experience with tuning and evaluating Large Language Models on variety of tasks including Named Entity Recognition and Question -Answering

• Knowledge in Data Science / Machine Learning libraries (numpy, pandas, matplotlib, sklearn, nltk)

• Experience in signal processing

• Big data / cloud experience (AWS, Azure, Google Cloud, Hadoop, Spark, Hive) Displayed interest in medical device industry

Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.

Additional description for pay transparency: The anticipated base pay for this position is between 22$ per hour and 51.50$ per hour but will be based on candidate's program year, discipline, degree and/or experience. This position is overtime eligible. Intern/Co-ops may be eligible to participate in Company employee benefit programs such as medical insurance, sick time, holiday pay, and the Company’s consolidated retirement plan in accordance with the terms of the applicable plans. Housing stipend will be offered for those that qualify. This position is ineligible for severance. For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center ( ra-employeehealthsup@its.jnj.com ) or contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is :

22$ per hour to 51.50$ per hour

Additional Description for Pay Transparency:

The anticipated base pay for this position is between 22$ per hour and 51.50$ per hour but will be based on candidate's program year, discipline, degree and/or experience. This position is overtime eligible. Intern/Co-ops may be eligible to participate in Company employee benefit programs such as medical insurance, sick time, holiday pay, and the Company’s consolidated retirement plan in accordance with the terms of the applicable plans. Housing stipend will be offered for those that qualify. This position is ineligible for severance. For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits