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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 https://www.jnj.com

Job Function:

Data Analytics & Computational Sciences

Job Sub** **Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

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

Required Skills:

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

The anticipated base pay range for this position is :

$146,200- 197,800

Additional Description for Pay Transparency:

The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. • 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: o Vacation – up to 120 hours per calendar year o 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 o 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