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Job Function:
Data Analytics & Computational SciencesJob Sub Function:
Data Science Portfolio ManagementJob Category:
ProfessionalAll Job Posting Locations:
San Diego, California, United States of America, Spring House, Pennsylvania, United States of AmericaJob Description:
Nonclinical Safety & Submissions (NCSS), Preclinical Sciences and Translational Safety (PSTS), is seeking a highly motivated Associate Director Data Scientist to lead the delivery of transformative data analytics and capabilities that will drive diagnostic efficiency, holistic data interpretations, and robust mechanistic insights to power the new discovery paradigm. NCSS is a team of toxicologists and nonclinical writers responsible for delivering end to end on the PSTS portfolio (efficacy-to-safety, Discovery through Post-Marketing) across all J&J modalities and therapeutic areas.
The Associate Director Data Scientist will advance the digital transformation of NCSS by deploying data and nonclinical submissions solutions across NCSS functions to interrogate, analyze and interpret multimodal nonclinical safety data, enabling the integration and interpretation of study data, meta-analyses, mechanistically founded hypothesis generation and predictive modeling. Success in this role requires strong matrix leadership skills, effective stakeholder management, and a breadth of biology and computational knowledge to translate key concerns and portfolio needs into meaningful data science solutions and investigating those using relevant data analytics and visualization techniques. The candidate is proactive, intellectually curious and will thrive in a dynamic, multidisciplinary and collaborative environment. This role is expected to provide support across all NCSS functions.
Principal Responsibilities:
Partner with NCSS stakeholders, prioritize and implement NCSS data needs and use cases, including ensuring FAIR NCSS metadata.
Successfully collaborate and deliver results in a matrixed environment across PSTS functions (including BDDS, TPPIT, SIS, and Pathobiology stakeholders) and DPDS (IT and Data Science) to assess data landscape and develop solutions in line with strategy, implementation roadmaps, and action plans.
Independently develop solutions for NCSS data search, interpretation, reporting and communication to stakeholders; deploy relevant data transformations, visualizations, summaries and analytics; deploy quality control measures to ensure accuracy and completeness of analyses and solutions; develop and implement statistical and machine learning models applied to multimodal toxicology data.
Serve as a subject matter expert in Nonclinical Safety & Submissions data science, capable of recommending the optimal solution and leading development and implementation. Provide expertise and mentorship on NCSS data science methodologies/exponents. Provide scientific leadership in data analytics, fostering a data-driven culture, and applying innovative approaches.
Interpret and communicate outcomes of analyses with independence in report writing and PowerPoint presentations. Collaborate, present, and communicate project-related deliverables and findings in multidisciplinary PSTS meetings.
Education:
A minimum of a Master’s degree in Biology or a Computational Science (Computer Science, Biostatistics, Engineering, or Data Science or related field) with experience in programming and data science is required
A PhD in Biology or a Computational Science, (Computer Science, Biostatistics, Engineering, or Data Science or related field) with experience in programming and data science is highly preferred
Required
A minimum of 8 years of Data Science experience in an industry or academic setting post-degree in positions of increasing responsibility is required
Good knowledge of SAS required
Proficiency in programming (e.g. Python, R, SQL, Javascript) and experience with Cloud Platforms (e.g. GCP, Azure, AWS) is required
Skill in data visualization and dashboarding tools (e.g. Spotfire, PowerBI, R-Shiny) is required
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) is required
Knowledge of medical terminology and familiarity with biological research is required
Preferred:
Experience in the disciplines of Biology, Biotechnology, and/or Toxicology
Required Skills:
Preferred Skills:
Advanced Analytics, Business Case Modeling, Consulting, Cross-Functional Collaboration, Data Privacy Standards, Data Science, Data Structures, Digital Fluency, Digital Strategy, End to End Implementation, Global Market, Negotiation, Organizing, Predictive Modeling, Process Improvements, Product Portfolio Management, Technical CredibilityThe anticipated base pay range for this position is :
$137,000.00 - $235,750.00Additional 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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Johnson & Johnson is the largest and most broadly based healthcare company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years.
The combination of new technologies and your expertise enables amazing things to happen. Teams from J&J’s consumer business are creating digital tools to help people track the health of their skin. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world.
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