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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:
Discovery & Pre-Clinical/Clinical DevelopmentJob Sub Function:
Nonclinical SafetyJob Category:
Scientific/TechnologyAll Job Posting Locations:
La Jolla, California, United States of America, Spring House, Pennsylvania, United States of AmericaJob Description:
Nonclinical Safety and Submissions (NCSS), Preclinical Sciences and Translational Safety (PSTS), is seeking a highly motivated Senior Scientist to deliver transformative big data capabilities that will drive efficiency, holistic data interpretations, and mechanistic insights to power the new discovery paradigm. NCSS is a team of toxicologists and nonclinical writers responsible for delivering on the PSTS portfolio (efficacy-to-safety, Discovery through Post-Marketing) across all J&J modalities and therapeutic areas.
The Senior Scientist will develop data pipelines and tools to interrogate, analyze, and interpret multimodal safety data, and enable integration and interpretation of study data, meta-analyses, and hypothesis generation, as well as generation of mechanistically-founded adverse outcome pathways enabling on/off target assessments, species comparison, and prediction of human outcomes. The role requires a breadth of skills and knowledge to address key biological concerns and portfolio needs into meaningful data science questions and investigating those using relevant data analytics and visualization techniques. The candidate is intellectually curious and will thrive in a dynamic, multidisciplinary, and collaborative environment.
Principal Responsibilities:
Collaborate closely with NCSS stakeholders, prioritize and implement NCSS data needs and use cases, including making NCSS data FAIR in the context of relevant metadata.
Partners across PSTS and DPDS (IT and Data Science) to assess the data and data product/tool landscape and supports development of product implementation roadmaps and action plans.
Act as point of contact subject matter expert for broad user base within in NCSS, and defined superuser.
Manage implementation, monitoring, and user analytics for identified platforms.
Works cross functionally to establish workflow to internalize NCSS data in real time and to integrate/connect NCSS data and metadata. Develop processes for data ingestion, warehousing, curation, standardization and database management when needed. Deploy quality control measures to ensure accuracy and completeness of data.
Aids in the design, testing, and validations of products/tools for NCSS data search, interpretation, reporting and communication to stakeholders; deploys relevant data transformations, visualizations, summaries, and analytics.
Partners with Data Science to develop and implement statistical and machine learning models applied to multimodal data from multiple sources.
Serves as a subject matter expert in data science, capable of assessing options and supporting development and implementation working closely with DPDS DSDH external innovation.
Interprets and communicates data with an appropriate level of independence in report writing and PowerPoint presentations. Collaborates, presents and communicates project-related deliverables and findings in multidisciplinary PSTS team meetings.
QUALIFICATIONS
Education and Experience:
PhD or a Master’s degree in Biology or related field with programming and data science expertise is required
Or, a PhD or Master’s degree in Computer Science, Statistics, Engineering, Science, Data Science, or applicable quantitative field with experience in biology is required
2+ years of Data Science experience (for a PhD), or 4+ years (for Master’s) in an industry or academic setting post-degree in positions of increasing responsibility
Experience in Biology, Biotechnology, Immunology, Pathology, In Vitro Diagnostic, or Health Care industries preferred
Good knowledge of SAS required
Proficiency in programming (e.g. Python, R, SQL, Javascript) and experience with Cloud Platforms (e.g. GCP, Azure, AWS) required
Skill in data visualization and dashboarding tools (e.g. Spotfire, PowerBI, R-Shiny) required
Proficiency in healthcare informatics (SNOMED, CPT, HL7) preferred
Proficiency in the use of statistical models and AI (e.g. multivariate linear regression, cluster algorithms, decision trees, logistic regression, Principal Component Analysis [PCA], machine learning [supervised and unsupervised], Bayesian Methods, Neural Networks) preferred
Knowledge of medical terminology and familiarity with biological research preferred
Key Competencies:
Strong track record and ability to work independently
Analytical mind-set, intellectual curiosity, eagerness for continuous learning and passion for translating data into applied solutions
Knowledge of medical terminology and familiarity with biological research preferred
Knowledge of medical terminology and familiarity with biological research preferred
Required Skills:
Preferred Skills:
Clinical Data Management, Collaborating, Critical Thinking, Drug Discovery Development, EHS Compliance, Good Clinical Practice (GCP), Presentation Design, Problem Solving, Process Control, Process Hazard Analysis (PHA), Risk Management, Safety Audits, Safety Investigations, Safety-Oriented, Scientific Research, Technologically Savvy, Training People
The anticipated base pay range for this position is :
$109,000.00 - $174,800.00Additional Description for Pay Transparency:
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
Please use the following language:
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits
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About Johnson & Johnson

Johnson & Johnson
PublicCaring for the world, one person at a time.
10000+
Employees
New Brunswick
Headquarters
Reviews
3.6
5 reviews
Work Life Balance
3.8
Compensation
2.5
Culture
3.0
Career
3.2
Management
2.8
45%
Recommend to a Friend
Pros
Good work-life balance
Strong R&D division
University talent engagement
Cons
Contract employee job security issues
Pay cuts during transitions
Product liability concerns
Salary Ranges
2,248 data points
Junior/L3
L3
L5
L6
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Data Scientist Level 23
0 reports
$105,109
total / year
Base
-
Stock
-
Bonus
-
$89,343
$120,875
Interview Experience
7 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 86%
Negative 14%
Interview Process
1
Application Review
2
HireVue Video Interview
3
Recruiter Screen
4
Technical/Hiring Manager Interview
5
Panel Interview
6
Offer
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
Case Study
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