Johnson & Johnson, Scientist, Biostatistics - via
Job in
Raritan, Somerset County, New Jersey, 08869, USA
Listed on 2025-12-03
Listing for:
WayUp
Part Time
position Listed on 2025-12-03
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, Data Security, Data Science Manager
Job Description & How to Apply Below
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This role is with Johnson & Johnson. Way Up 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 Med Tech, 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
- 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, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America - Job Description:
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.
Johnson & Johnson Innovative Medicine is hiring a Scientist Biostatistics to be located in San Diego, CA, Raritan, NJ, Titusville, NJ, or Spring House, PA.
The Scientist Biostatistics will support the oncology area with a focus on: solid tumors or hematologic malignancies; 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.
Key Responsibilities:
- Provide statistical input into the clinical development of drugs for treatment of cancer.
- Work with the clinical team or assist other statisticians in designing clinical studies, authoring the statistical analysis plan, conducting the statistical analysis, and providing statistical input to the clinical study report.
- Perform statistical analyses to support scientific presentations and manuscripts for individual studies/projects.
- Participate in process improvement, training, standards development and enhancing statistical technical expertise.
- Liaise with other statisticians within the organization, building working relationships with therapeutic area leaders, internal SAS programmers, clinical trial managers, and personnel from regulatory affairs, medical writing, and other disciplines as needed.
- Education:
A Master’s degree or higher in Statistics or related field is required.
Skills Required:
- Working knowledge of statistical software such as SAS and R is required.
- Experience and knowledge of Good Clinical Practices and regulatory requirements for clinical drug development, including the conduct of clinical trials is preferred.
- Excellent verbal and written communication skills, including formal presentation skills are required.
- Excellent analytical skills are required.
- Experience presenting to technical and lay groups at public meetings is preferred.
- Experience working in the area of Oncology is a plus.
- This position is based in either San Diego, CA, Raritan, NJ, Titusville, NJ, or Spring House, PA and currently has the option to follow a hybrid schedule of 3 days per week working on site and 2 days per week working remotely. (No fully remote option available.) May require up to approximately 10% travel (international and domestic). 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…
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