招聘
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:
Beerse, Antwerp, Belgium
Job Description:
Johnson & Johnson Innovative Medicine (JJIM) Research & Development is recruiting a Senior Statistician to join the Manufacturing Unit within the Discovery and Manufacturing Statistics (DMS) group to be located at Beerse, Belgium.
The Manufacturing group within the DMS department, part of the Statistics and Decision Sciences organization at J&J, offers vital statistical support for the design and analysis of manufacturing processes in research and development context. Their work seamlessly integrates statistical methods with scientific and engineering principles. Their expertise spans a wide range of areas, covering compounds, programs, and technologies throughout all phases of pharmaceutical research and development. The ultimate goal is to ensure the quality, safety, and continuous supply of our portfolio medicines, ultimately benefiting patients worldwide. DMS represents a global team of statisticians located in Beerse (Belgium), Leiden (The Netherlands), Prague (Czechia), Boston (MA, USA), Spring House (PA, USA), Raritan (NJ, USA) and La Jolla, (CA, USA) campuses.
Job Description:
The successful candidate will provide statistical support to manufacturing programs across therapeutic modalities, including synthetics, proteins, and advanced therapies. They will support data-driven manufacturing decisions by applying analytical reasoning, performing thorough analyses, advising on experimental design, and clearly communicating evidence. The role includes developing and applying Bayesian predictive models, collaborating with cross-functional teams, and coordinating with external contractors.
Key responsibilities for this exciting and unique role are:
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Work closely with researchers on experimental design, data analysis, interpretation, and clear communication of evidence to support research, development, and product commercialization.
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Ensure the appropriate application of high-quality statistical methodologies tailored to each research need.
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Serve as a co-author on scientific publications and present research findings at external venues.
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Build and maintain trusted relationships with colleagues and stakeholders through clear, reliable statistical guidance.
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Support internal statistical trainings and contribute to the development and dissemination of best practices and reproducible workflows.
Qualifications Education:
- Ph.D. in Statistics or related field, or Master’s in Statistics or related field with commensurate years of relevant experience
Experience and Skills:
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Knowledge of (non)-linear mixed effects models and multivariate analysis is required
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Knowledge of Bayesian statistics is desirable
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Expertise in experimental design (Optimal DoE, Definitive Screening designs, Bayesian Optimization and Active learning) is a plus
-
Proficient in R programming
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Eager to expand expertise, strong intellectual curiosity
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Ability to work autonomously and within a team environment
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Highly effective written and verbal communication and presentation skills
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Fluency in English, both written and spoken
What we offer
We offer you a place in our wonderful diverse and supportive team dedicated to service and wellbeing. You will be rewarded through a competitive renumeration package along with continuous training, support, and career development programs. You will also receive other benefits such as on-site sport accommodations, health care services and meal vouchers.
For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.careers.jnj.com.]
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, Collaborating, 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
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关于Johnson & Johnson

Johnson & Johnson
PublicCaring for the world, one person at a time.
10000+
员工数
New Brunswick
总部位置
$400B
企业估值
评价
4.0
10条评价
工作生活平衡
3.5
薪酬
4.2
企业文化
4.1
职业发展
3.2
管理层
4.3
75%
推荐给朋友
优点
Supportive and approachable management
Excellent benefits and compensation
Flexible work arrangements and good work-life balance
缺点
High-pressure and demanding work environment
Slow bureaucratic processes
Limited growth opportunities in some areas
薪资范围
2,250个数据点
Junior/L3
L3
L5
L6
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Data Scientist Level 23
0份报告
$105,109
年薪总额
基本工资
-
股票
-
奖金
-
$89,343
$120,875
面试经验
7次面试
难度
3.0
/ 5
时长
14-28周
面试流程
1
Application Review
2
HR Screen
3
Pre-recorded/Video Interview
4
Technical/Panel Interview
5
Final Interview
6
Offer
常见问题
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
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