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
Job Description:About Innovative MedicineOur 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
We are searching for the best talent for a Principal Scientist, Biostatistics to be located in Raritan, NJ or Spring House, PA.Purpose: The Principal Scientist provides input to the design and execution of studies and experiments for Clinical Development, Medical Affairs, Discovery, and Manufacturing Sciences programs at J&J Innovative Medicines (J&J IM), with minimal supervision. Support is provided to statistical analysis, interpretation, and reporting or communication of data evidence towards programs for research, development, and/or marketed product needs in J&J IM.
This individual will collaborate with Quantitative Sciences & Clinical Pharmacology (QSCP) functions and other drug development scientists to support statistical aspects of key business and regulatory commitments, contributes to program plans, and represents Statistics & Decision Sciences (SDS) in various teams or working groups. They will practice J&J leadership principles and values aligned with the company's Credo and purpose.
You will be responsible for: - Exhibiting advanced proficiency in data analytics, grounded in statistical principles with a proven record of effectively supporting programs.
- Demonstrating competence in using pertinent computational tools for research objectives related to studies, experiments, or trials, including full proficiency in R and SAS, along with familiarity with other relevant computational tools, including innovative data-adaptive methods and artificial intelligence.
- Ensuring the application of high-quality statistical methodologies in assigned projects, showcasing an understanding of the disease/scientific/functional area and compliance with health authority standards.
- Integrating quantitative sciences with disease or functional area requirements, balancing scientific and business needs.
- Providing leadership in optimizing study designs to meet objectives, and supports scenario simulations and sample size calculations informed by technical and area specific knowledge.
- Proactively identifying complexities related to scientific, statistical, regulatory, operational, and partnership aspects. Progresses to more complex programs upon mastering standard ones.
- Identifying and implementing advanced statistical techniques to address complex project or program features.
- Serving as a recognized leader, offering guidance to the team on optimizing study or trial designs in accordance with study or indication level objectives.
- Improving inferential insights while minimizing time, cost, and study risk.
- Collaborating cross-functionally to identify and resolve issues.
- Engaging in process improvement and standards development initiatives.
- Building cross-functional partnerships with internal colleagues and external partners (e.g., Contract Research Organizations (CROs), consultants) to achieve results for project-specific needs, focusing on enhancing communication, efficiency, and productivity.
- Working within SDS and QSCP for unified and integrated quantitative input in drug development.
- Delivering high-quality and timely outputs as evaluated by partners such as the project team, clinical trial team, and the Statistics Area Head.
- Identifying vital external scientific and statistical trends, driving the advancement of statistical methodologies through scholarly publications.
- Participating in interactions with health authorities.
Qualifications/RequirementsEducation:- A minimum of a Master's degree with 6+ years of relevant experience, or a PhD with 4+ years of relevant experience is required.
Experience and Skills:- Proficiency in SAS, R programming or other relevant computational tools (e.g., East Horizon, RPACT, FACTS, Python) are required.
- Excellent interpersonal, verbal, and written communication skills are required.
- Demonstrated ability to work in interdisciplinary contexts outside statistics is required.
Required Skills:Preferred Skills:The anticipated base pay range for this position is :$117,000.00 - $201,250.00
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
Additional information can be found through the link below.
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits
