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Senior Scientist, Biostatistics

Jj

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Salary
$109k – $175k
Location
US063 NJ Raritan - 920 US Hwy 202, United States of America · Titusville, New Jersey, United States of America · Spring House, Pennsylvania, United States of America
Workplace
Hybrid
Type
Full-time
Department
Education
Seniority
Senior
Education
PhD
Closing date
Today
Source
Workday

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:

Biostatistics

Job Category:

Scientific/Technology

All Job Posting Locations:

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

Job Description:


At J&J Innovative Medicine we are seeking for a Senior Scientist, Biostatistics to join the Oncology Statistics team in Late Clinical Development.

 

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/. 

 

For more than 130 years, diversity, equity & inclusion (DEI) has been a part of our cultural fabric at Johnson & Johnson and woven into how we do business every day. Rooted in Our Credo, the values of DEI fuel our pursuit to create a healthier, more equitable world. Our diverse workforce and culture of belonging accelerate innovation to solve the world’s most pressing healthcare challenges. 


The success of our business and our ability to deliver meaningful solutions depend on our understanding and ability to meet the diverse needs of the communities we serve. This is why we promote a culture of inclusion and belonging, where all perspectives, abilities, and experiences are valued, enabling our people to reach their full potential.  
 
We are seeking an exceptional Senior Scientist, Biostatistics to join the Oncology Statistics team. Oncology Statistics is an essential part of the Statistics and Decision Sciences organisation within J&J Innovative Medicine and is focused on driving all quantitative aspects of the design, analysis and reporting of oncology clinical trials. The oncology area focuses on hematologic malignancies, prostate cancer and lung cancer; cancer interception with the goal of developing products that interrupt the carcinogenic process; biomarkers that may help guide targeted, individualized use of our therapies; as well as safe and effective identification and treatment of early changes in the tumor microenvironment. 
 
At Johnson & Johnson, we all belong. 
 
Key Job responsibilities 
As a Senior Scientist, Biostatistics, you will provide statistical support to projects in the area of oncology in Late Clinical Development.  Your primary responsibilities will include, but won’t be limited to,  


  • providing statistical input for decision-making, including analysis, interpretation, study design and communication of data evidence for research, development and/or marketed product  
  • supporting statistical aspects of business-critical and/or regulatory commitments.   
  • advocating for the use of appropriate statistical methods in decision making by acquiring and demonstrating an in-depth knowledge of statistics, modelling, simulations, and statistical computing.  
  • participation in or attending training session with colleagues and external contractors. 
  • participating in the scientific community by attending conferences. 
  • working with external partners including key opinion leaders in the oncology area and regulatory agencies and advisory committees, and contract research organizations.  
  • participating in training, process improvement and enhancing technical expertise. 

 

 

Qualifications 

 

  • Ph.D. in Statistics or related field with minimum 0-2 years relevant experience, or a Master’s in Statistics or related field with commensurate years of relevant experience.    
  • Analytical mind-set, intellectual curiosity, eagerness for continuous learning and passion for translating data into business-critical evidence.  
  • Ability to work independently, as well as in interdisciplinary teams.  
  • Good verbal, and written communication skills in the English language. 
  • Good knowledge of SAS and R programming. 
  • Desire to build relationships with various stakeholders, promote positive change, and ability to adapt to rapidly changing organizational & business environment needs.  

 

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 & 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, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.

Required Skills:

 

 

Preferred Skills:

Advanced Analytics, Biostatistics, Clinical Trials, Collaboration, Consulting, Critical Thinking, Data Privacy Standards, Data Quality, Data Savvy, Digital Fluency, Good Clinical Practice (GCP), Quality Assurance (QA), Report Writing, Standard Operating Procedure (SOP), Statistical Analysis Systems (SAS) Programming, Statistics, Systems Development, Technologically Savvy

 

 

The anticipated base pay range for this position is :

$109,000.00 - $174,800.00

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)).

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

Skills

GCPClinical TrialsR

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