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Senior Principal Scientist, Data Science RWE

Johnson & JohnsonCambridge, MA

$137,000 - $235,750 / year

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Overview

Schedule
Full-time
Career level
Senior-level
Remote
Hybrid remote
Compensation
$137,000-$235,750/year
Benefits
Paid Holidays
Paid Vacation
Paid Sick Leave

Job Description

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 jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

The Real-world Evidence & Advanced Analytics team within Johnson and Johnson Innovative Medicines is looking for outstanding scientists and leaders whose responsibilities include:

  • Be a hands-on scientific and technical leader, leading a portfolio of RWE projects, developing best practices, and mentoring team members.

  • Identify common technical requirements for RWE projects, develop and maintain a common suite of tools that enable RWE data scientists to accelerate project delivery.

  • End-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation.

  • Provide thought leadership and hands-on programming expertise for developing and applying Real-World Data ("RWD") methodologies to mitigate observed and unobserved biases in the execution of external control arm studies, hybrid control studies, comparative effectiveness analyses, etc.

  • Provide thought leadership and hands-on programming expertise to generate actionable insights from post-hoc RCT analyses, observational databases, and literature reviews to support regulatory agency interactions.

  • Independently create study protocols, statistical analysis plans, and statistical programming deliverables including analysis-ready data, tables and figures

  • Partner with the Data Science Therapeutic Area scientists to conceptualize, lead, shape and deliver Real World Evidence

Required qualifications:

  • A Ph.D. degree in epidemiology or biostatistics

  • Expert coding skills using R, Python, or SAS

  • At least 5 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries

  • Extensive hands-on experience with data extraction, cleaning, and analysis, as well as statistical methods to mitigate confounding and selection biases

  • Expertise with multiple real-world data sources (EHR, insurance claims, registry data). Familiarity with clinical trial data structure

  • Excellent interpersonal, communication and presentation skills

Preferred qualifications:

  • Familiarity with drug discovery and the clinical development process

  • Subject matter knowledge in oncology, Immunology or Neuroscience

  • Experience in regulatory-grade evidence, communicating and responding to agency reviews and comments.

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.

#LI-GR1

#LI-Hybrid

#JRDDS

#JNJDataScience

#JRD

Required Skills:

Preferred Skills:

Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility

The anticipated base pay range for this position is :

$137,000.00 - $235,750.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees are 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.

Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:

Vacation- 120 hours per calendar year

Sick time- 40 hours per calendar year; for employees who reside in the State of Colorado- 48 hours per calendar year; for employees who reside in the State of Washington- 56 hours per calendar year

Holiday pay, including Floating Holidays- 13 days per calendar year

Work, Personal and Family Time - up to 40 hours per calendar year

Parental Leave- 480 hours within one year of the birth/adoption/foster care of a child

Bereavement Leave- 240 hours for an immediate family member: 40 hours for an extended family member per calendar year

Caregiver Leave- 80 hours in a 52-week rolling period10 days

Volunteer Leave- 32 hours per calendar year

Military Spouse Time-Off- 80 hours per calendar year

For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

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FAQs About Senior Principal Scientist, Data Science RWE Jobs at Johnson & Johnson

What is the work location for this position at Johnson & Johnson?
This job at Johnson & Johnson is located in Cambridge, MA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Johnson & Johnson?
Candidates can expect a pay range of $137,000 and $235,750 per year.
What employment applies to this position at Johnson & Johnson?
Johnson & Johnson lists this role as a Full-time position.
What experience level is required for this role at Johnson & Johnson?
Johnson & Johnson is looking for a candidate with "Senior-level" experience level.
What benefits are offered by Johnson & Johnson for this role?
Johnson & Johnson offers following benefits: Paid Holidays, Paid Vacation, Paid Sick Leave, Parental and Family Leave, Paid Community Service Time, and 401k Matching/Retirement Savings for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Johnson & Johnson?
You can apply for this role at Johnson & Johnson either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.