Johnson & Johnson Innovative Medicine
Principal Scientist- Data Science
Johnson & Johnson Innovative Medicine, Raritan, New Jersey, us, 08869
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Base Pay Range $146,200.00/yr - $197,800.00/yr
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.
Location:
Raritan, New Jersey, United States of America
Job Description To maintain our #1 Healthcare supply chain serving our patients, customers and parents – and remaining agile in the new digital world—J&J is looking to build capability in developing supply chain solutions that enable supporting the above initiatives.
This hybrid position may be based at any Johnson & Johnson office in New Jersey (Titusville, Horsham, or Raritan). If you are passionate about leveraging data science to address real-world challenges and foster innovation in a global environment, we encourage you to apply.
The role requires both an in-depth knowledge of existing advanced analytics practices and approaches including Machine Learning, Simulation, Statistics, basics of data pipelines and advanced visualization and the ability to influence and convince others and customize and work in a multidisciplinary environment to drive business solutions. Knowledge of application of advanced analytics to manufacturing and especially pharmaceutical / healthcare / medical device manufacturing is highly desirable.
The candidate will report to Director of J&J Supply Chain Data Science.
Responsibilities
Gather requirements for development of machine learning based solutions targeted to our pharmaceutical manufacturing sites
Work closely with functions such as manufacturing, quality and other site subject matter experts
Develop machine learning/simulation modeling proofs‑of‑concept (PoCs) that address key operational problems and generate business value. Validate those with operational experts
Work with data engineers and visualization experts to scale‑up those PoCs into full‑fledged solutions
Stay on the cutting edge of data science research and big data technologies
Work closely with colleagues to keep up‑to‑date with the latest approaches and advances in data science and evaluate vendor tools and external data sets as required
Works to achieve operational, functional, and/or business targets with impact on Data Science results
Creates, tests, validates, and deploys complex, multi‑stage models and/or scaling up of existing models and deep learning techniques
Develops experimental and analytic plans to improve modeling accuracy determining cause and effect relationships
Derives and communicates insights from complex structured and unstructured sources of data, drawing out connections, links, or insights across various analyses
Conducts analysis of third‑party data vendors and supports contract negotiations to bring in leading data science tools, methods, and practices
Analyzes processes and workflows to make recommendations for process improvements
Collaborates with analysts and data engineering on data mining architectures, algorithms, and models
Coaches and trains junior colleagues in techniques, processes, and responsibilities
Integrates Johnson & Johnson’s Credo and Leadership Imperatives into team goals and decision‑making
Education
M.S., Ph.D. Industrial Engineering/Operations Research/Engineering / STEM discipline. At least 3 years of work experience is ideal for PhD candidates. At least 5 years of work experience would be preferred for Masters candidates
Qualifications
Deep expertise in mathematical programming methods (MILP, MINLP etc.), scenario simulation modeling techniques (discrete event simulation/Monte Carlo simulation) is required. Ability to translate complex operational problems into mathematical models is a must
Experience with solver such as Gurobi/Cplex solvers and simulation tools such as Simio/Extend/Arena etc. is required
Experience with supervised and unsupervised machine learning algorithms is required
Experience with key python libraries such as Pyomo, Numpy, SciPy is required
Experience with SQL queries for data extraction and preliminary data analysis and profiling is required
Experience with graph databases such as NEO4J would be ideal
Experience with ERP systems like SAP and non‑ERP systems including unstructured data sources is required
Exposure to manufacturing and/or supply chain planning processes in healthcare industry (pharma/med devices) is a plus
Experience in requirements gathering for operations research solutions is required
Experience with leading data science projects (requirements gathering, proof‑of‑concept build, working with data engineers for solution data connectivity, working with UX engineers for visualization, post‑deployment lifecycle management) is required
Preferred Skills
Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis
Pay Range $146,200 - $197,800
Benefits
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 (or up to 56 hours per calendar year for employees who reside in the State of Washington); holiday pay, including floating holidays – up to 13 days per calendar year of Work, Personal and Family Time; up to 40 hours per calendar year.
Additional information can be found through the link below.
https://www.careers.jnj.com/employee-benefits
#J-18808-Ljbffr
Base Pay Range $146,200.00/yr - $197,800.00/yr
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.
Location:
Raritan, New Jersey, United States of America
Job Description To maintain our #1 Healthcare supply chain serving our patients, customers and parents – and remaining agile in the new digital world—J&J is looking to build capability in developing supply chain solutions that enable supporting the above initiatives.
This hybrid position may be based at any Johnson & Johnson office in New Jersey (Titusville, Horsham, or Raritan). If you are passionate about leveraging data science to address real-world challenges and foster innovation in a global environment, we encourage you to apply.
The role requires both an in-depth knowledge of existing advanced analytics practices and approaches including Machine Learning, Simulation, Statistics, basics of data pipelines and advanced visualization and the ability to influence and convince others and customize and work in a multidisciplinary environment to drive business solutions. Knowledge of application of advanced analytics to manufacturing and especially pharmaceutical / healthcare / medical device manufacturing is highly desirable.
The candidate will report to Director of J&J Supply Chain Data Science.
Responsibilities
Gather requirements for development of machine learning based solutions targeted to our pharmaceutical manufacturing sites
Work closely with functions such as manufacturing, quality and other site subject matter experts
Develop machine learning/simulation modeling proofs‑of‑concept (PoCs) that address key operational problems and generate business value. Validate those with operational experts
Work with data engineers and visualization experts to scale‑up those PoCs into full‑fledged solutions
Stay on the cutting edge of data science research and big data technologies
Work closely with colleagues to keep up‑to‑date with the latest approaches and advances in data science and evaluate vendor tools and external data sets as required
Works to achieve operational, functional, and/or business targets with impact on Data Science results
Creates, tests, validates, and deploys complex, multi‑stage models and/or scaling up of existing models and deep learning techniques
Develops experimental and analytic plans to improve modeling accuracy determining cause and effect relationships
Derives and communicates insights from complex structured and unstructured sources of data, drawing out connections, links, or insights across various analyses
Conducts analysis of third‑party data vendors and supports contract negotiations to bring in leading data science tools, methods, and practices
Analyzes processes and workflows to make recommendations for process improvements
Collaborates with analysts and data engineering on data mining architectures, algorithms, and models
Coaches and trains junior colleagues in techniques, processes, and responsibilities
Integrates Johnson & Johnson’s Credo and Leadership Imperatives into team goals and decision‑making
Education
M.S., Ph.D. Industrial Engineering/Operations Research/Engineering / STEM discipline. At least 3 years of work experience is ideal for PhD candidates. At least 5 years of work experience would be preferred for Masters candidates
Qualifications
Deep expertise in mathematical programming methods (MILP, MINLP etc.), scenario simulation modeling techniques (discrete event simulation/Monte Carlo simulation) is required. Ability to translate complex operational problems into mathematical models is a must
Experience with solver such as Gurobi/Cplex solvers and simulation tools such as Simio/Extend/Arena etc. is required
Experience with supervised and unsupervised machine learning algorithms is required
Experience with key python libraries such as Pyomo, Numpy, SciPy is required
Experience with SQL queries for data extraction and preliminary data analysis and profiling is required
Experience with graph databases such as NEO4J would be ideal
Experience with ERP systems like SAP and non‑ERP systems including unstructured data sources is required
Exposure to manufacturing and/or supply chain planning processes in healthcare industry (pharma/med devices) is a plus
Experience in requirements gathering for operations research solutions is required
Experience with leading data science projects (requirements gathering, proof‑of‑concept build, working with data engineers for solution data connectivity, working with UX engineers for visualization, post‑deployment lifecycle management) is required
Preferred Skills
Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis
Pay Range $146,200 - $197,800
Benefits
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 (or up to 56 hours per calendar year for employees who reside in the State of Washington); holiday pay, including floating holidays – up to 13 days per calendar year of Work, Personal and Family Time; up to 40 hours per calendar year.
Additional information can be found through the link below.
https://www.careers.jnj.com/employee-benefits
#J-18808-Ljbffr