Senior Scientist Discovery Statistics

Johnson & Johnson Innovative Medicine•Spring House, PA

2d•Hybrid

About The Position

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: Spring House, Pennsylvania, 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 Janssen Research & Development is recruiting a Senior Statistician for the Discovery, Manufacturing and Safety Statistics (DMS) group to be located at Spring House, PA. The scope of the DMS group focuses on research conducted during the discovery, manufacturing and preclinical safety, before the compound advances to larger confirmatory clinical trials. Job Description: Within the department of Discovery, Manufacturing and Safety Statistics (DMS) at Janssen R&D, we are currently seeking for an enthusiastic biostatistician (m/f) with a broad knowledge of statistical modelling to strengthen our statistical team in the US supporting drug discovery in Preclinical Sciences & Translational Safety (PSTS) and Immunology. The successful candidate will support anti-drug antibody studies, bio-analytical validation experiments, translational biomarker studies, and in vitro and in vivo experiments supporting the immunology portfolio. He/she will contribute to making informed decisions in drug discovery through his/her analytical mindset, analysis skills, experimental design suggestions and through appropriate reporting and communication of data evidence for research and development needs at Janssen. The candidate will collaborate within cross-functional teams and with external contractors. Participation in scientific activities in the local professional community can be expected. Requirements: The Statistician’s primary responsibilities include collaborating with researchers on experimental design, data analysis, and the interpretation and clear communication of results. Good knowledge of biostatistics is essential to this role, as is the use of statistics in decision-making and the eagerness to learn the underlying science and business. The successful candidate will serve as initial consultation contact for new projects in the drug discovery portfolio, maintains and grows customer base and builds loyal relationships with customers. You will play a crucial role in bridging the gap from preclinical experiments to first-in-human trials and the use of preclinical information to establish a safe first dose in humans You will assume independent, professional responsibility for all phases of a project request from beginning through completion with minimal supervision needed. You will manage multiple projects. You document projects in sufficient detail for reproducibility You enjoy building long-term collaborative relationships with research investigators, is proactive and communicates and promotes the use of good statistical practices and software to ensure data integrity and reproducibility. Qualifications: PhD in Statistics or related field with minimum 0-2 years relevant experience, or Master’s in Statistics or related field with commensurate years of relevant experience. Excellent analytical skills Excellent written and oral communication skills Fluency in English Proficiency in R programming Knowledge of experimental design, (non)-linear mixed models, multivariate analyses, predictive modelling and/or expertise in modern visualization methods Eagerness to continuously learn about the relevant underlying science and to expand statistical and computing expertise. Ability to work autonomously and within a team environment as well as strong leadership skills. 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. #JNJDataScience #LI-hybrid #LI-GR1 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 The anticipated base pay range for this position is : $105,000 - $169,050 Additional Description for Pay Transparency: Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.  Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).  Employees are eligible for the following time off benefits: – Vacation – up to 120 hours per calendar year – Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year – Holiday pay, including Floating Holidays – up to 13 days per calendar year – Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. 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/. Do Not Sell or Share My Personal Information Limit the Use of My Personal Information

Requirements

PhD in Statistics or related field with minimum 0-2 years relevant experience, or Master’s in Statistics or related field with commensurate years of relevant experience.
Excellent analytical skills
Excellent written and oral communication skills
Fluency in English
Proficiency in R programming
Knowledge of experimental design, (non)-linear mixed models, multivariate analyses, predictive modelling and/or expertise in modern visualization methods
Eagerness to continuously learn about the relevant underlying science and to expand statistical and computing expertise.
Ability to work autonomously and within a team environment as well as strong leadership skills.

Nice To Haves

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

Responsibilities

collaborating with researchers on experimental design, data analysis, and the interpretation and clear communication of results
serve as initial consultation contact for new projects in the drug discovery portfolio
maintains and grows customer base and builds loyal relationships with customers
bridging the gap from preclinical experiments to first-in-human trials and the use of preclinical information to establish a safe first dose in humans
assume independent, professional responsibility for all phases of a project request from beginning through completion with minimal supervision needed
manage multiple projects
document projects in sufficient detail for reproducibility
building long-term collaborative relationships with research investigators
proactive and communicates and promotes the use of good statistical practices and software to ensure data integrity and reproducibility

Benefits

medical
dental
vision
life insurance
short- and long-term disability
business accident insurance
group legal insurance
consolidated retirement plan (pension)
savings plan (401(k))
Vacation – up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year
Holiday pay, including Floating Holidays – up to 13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year