Principal Scientist- Data Science

About the position

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.

Requirements

• 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
• 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 ERP systems like SAP and non-ERP systems including unstructured data sources is required
• 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

Nice-to-haves

• Knowledge of application of advanced analytics to manufacturing and especially pharmaceutical / healthcare / medical device manufacturing is highly desirable.
• Experience with graph databases such as NEO4J would be ideal
• Exposure to manufacturing and/or supply chain planning processes in healthcare industry (pharma/med devices) is a plus

Benefits

• 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 Apply tot his job

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