Experienced Data Scientist, Advanced Analytics - MedTech Quality & Compliance
JjIrvine, CA • On-site, Remote
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 12 days ago
Job description
At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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:
Data Analytics & Computational SciencesJob Sub Function:
Data ScienceJob Category:
Scientific/TechnologyAll Job Posting Locations:
Irvine, California, United States of AmericaJob Description:
Fueled by innovation at the intersection of biology and technology, we're developing the next generation of smarter, less invasive, more personalized treatments.Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtechJohnson & Johnson MedTech is searching for the best talent for an Experienced Data Scientist, Advanced Analytics to join our Quality and Compliance Advanced Analytics Team. This position is based in Irvine, CA, with the option for remote work within the US. (Remote work options in the US may be considered on a case-by-case basis and if approved by the Company.)The Experienced Data Scientist, Advanced Analytics, will provide support for Johnson & Johnson MedTech companies. The MedTech Quality and Compliance Advanced Analytics Team has three main objectives:- Designing and automating data pipelines to ensure consistency and reliability in data used for application and report development.
- Improving accessibility and understanding of data analytics across all MedTech businesses.
- Developing and implementing advanced analytics methodology and automation solutions to improve efficiency across MedTech Q&C.
KEY RESPONSIBILITIES
- Works with team members internal and external to the advanced analytics team to implement customer-centric solutions for data analytics and process improvements.
- Participates and leads projects with varying timelines (e.g. hours to weeks) and complexities.
- Develops, validates, and implements machine learning models to address business challenges and drive predictive insights.
- Researches and explores the application of Generative AI solutions to enhance analytics capabilities and automate processes.
- Designs processes and develops scripts (using R, Python, etc.) to perform and automate data analysis of large and complex datasets (e.g. data wrangling, NLP/text mining, statistical modeling, etc.).
- Creates visualizations and presentations to provide insights into different types of data for technical and lay audiences.
- Ensures data analysis and results are accurate and logically sound.
- Diagnoses and troubleshoots scripts and algorithms for potential issues.
- Identifies opportunities for optimization and recommends process improvements by anticipating customer needs.
- Proposes implementation strategy for projects and data pipelines of moderate to high complexity.
- Adopts new technology and best practices in the data science field to maintain progressive advantage in the industry.
- Executes routine processes and responding to ad hoc requests in a highly regulated, fast-paced quality system environment.
- Manages cross-functional, multi-level stakeholders and project requirements through effective communication.
EXPERIENCE AND EDUCATION
- A Bachelor of Science degree in a technical field (e.g. Data Science, Statistics, Business Analytics, Life Sciences, Quality Engineering, Health Informatics etc.) is required.
- A minimum of 4 years of relevant work experience is desired.
QUALIFICATIONS
- Expertise in R, Python and SQL with experience in various data manipulation and analysis libraries.
- Proven ability to analyze, clean and summarize large datasets using a scripting language is required.
- Strong problem-solving and analytical skills with a proactive and solution-oriented approach.
- Excellent written and verbal communication skills is required. Attention to detail is critical to the success of this role.
- Professional application of Microsoft Office software (e.g. Outlook, Word, PowerPoint, Excel, OneNote) is required.
- Proven understanding of statistical and machine learning concepts is required.
- Ability to prepare data analysis results for presentations and discussions (e.g. graphs, charts, slides, RMarkdown, etc.) is required.
- Capacity to manage multiple responsibilities and priorities is required.
- Ability to work effectively in a collaborative environment is required.
- Ability to work proactively, independently, and efficiently under limited supervision is required.
- Experience in R package development is highly preferred.
- Experience in software testing/validation is highly preferred.
- Experience in managing databases and servers is desired.
- Experience in project and stakeholder management is desired.
- Quality System and Medical Device experience preferred.
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us viahttps://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $92,000 - $148,350. 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:
Vacation - up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year
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-benefitsThe compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.
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Required Skills:
Preferred Skills:
Advanced Analytics, Analytical Reasoning, Business Intelligence (BI), Business Writing, Coaching, Collaborating, Communication, Data Analysis, Data Compilation, Data Privacy Standards, Data Savvy, Data Science, Data Visualization, Econometric Models, Execution Focus, Technical Credibility, Technologically Savvy, Workflow AnalysisMost Popular Jobs Similar to Data Scientist
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Scientist?
A: To succeed as a Data Scientist, one must possess core technical skills such as proficiency in programming languages like Python, R, or SQL, as well as expertise in machine learning algorithms, data visualization tools like Tableau or Power BI, and statistical modeling techniques. Additionally, strong soft skills like effective communication, collaboration, and problem-solving abilities, along with traits like curiosity, adaptability, and attention to detail, are crucial for success in this role. By combining these technical and soft skills, Data Scientists can effectively extract insights from complex data, drive business decisions, and drive career growth through continuous learning and innovation.
Q: What is the career path for a Data Scientist?
A: A Data Scientist's typical career progression involves starting as a Junior Data Analyst or Data Scientist, where they develop foundational skills in data analysis, machine learning, and visualization. As they gain experience, they can move into mid-level roles such as Senior Data Scientist or Lead Data Analyst, where they take on more complex projects, mentor junior team members, and contribute to strategic decision-making. Ultimately, senior Data Scientists can transition into leadership positions like Director of Data Science or Chief Data Officer, or pursue specialized roles like Data Engineering or Artificial Intelligence Research Scientist, depending on their interests and skills.
