Johnson & Johnson, Experienced Data Scientist - Application via WayUp

WayUp

Danvers (MA)

On-site

USD 110,000 - 121,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision insurance
401(k) with company match
Paid vacation and sick leave
Annual performance-based bonuses

Job summary

WayUp is partnering with Johnson & Johnson to fill the Experienced Data Scientist position in Danvers, MA. The successful candidate will develop machine learning algorithms to improve clinical decision-making in healthcare and will need a Master's degree alongside relevant experience in data science and analytics. This role offers competitive compensation and benefits, aiming to innovate health solutions for patients.

Qualifications

  • Master's degree in Statistics, Biostatistics, or related field.
  • 2 years of experience in data science or related role.
  • Expertise in machine learning algorithms and data analytics.

Responsibilities

  • Develop machine learning algorithms for clinical decision-making.
  • Curate and analyze datasets relevant to critical care.
  • Document and report findings to support FDA submissions.

Skills

Machine Learning
Data Analytics
Statistical Analysis

Education

Master's degree in Statistics, Biostatistics, or related field

Job description

Johnson & Johnson, Experienced Data Scientist - Application via WayUp

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Johnson & Johnson, Experienced Data Scientist - Application via WayUp

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Join to apply for the Johnson & Johnson, Experienced Data Scientist - Application via WayUp role at WayUp

This role is with Johnson & Johnson. WayUp is partnering with Johnson & Johnson to hire top talent.

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: Danvers, Massachusetts, United States of America

Job Description:

  • Employer: ABIOMED,Inc.
  • Job Title: Experienced Data Scientist
  • Job Code: A011.8773
  • Job Location: Danvers, MA
  • Job Type: Full-Time

Rate of Pay: $110,000 - $121,000/year Job Duties:

Develop machine learning algorithms to support clinical decision-making for Impella patients. Curate datasets by extracting information from Abiomed databases, free-text clinical source documents, and EMR-style records. Utilize time series data combined with other variables to train machine learning models relevant to critical care. Design analyses to evaluate the performance of these models. Author documentation and reports to support FDA submissions of Abiomed SaMD technology. Leverage expertise in heart recovery to effectively communicate technical findings to a clinical audience. Requirements:

Employer will accept a Master's degree in Statistics, Biostatistics, Electrical and Computer Engineering, Physics, Mathematics, Machine Learning, Data Science or related field and 2 years of experience in the job offered or in an Experienced Data Scientist-related occupation. This job posting is anticipated to close on 7/14/2025. 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 : $110,000 - $121,000/year

_Additional Description for Pay Transparency:_ The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Employees are eligible for the following time off benefits: Vacation – up to 120 hours per calendar year Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. http://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

Seniority level
  • Seniority level
    Entry level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    Technology, Information and Internet

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