Senior Principal Scientist, Data Science
Senior Principal Scientist, Data Science
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$ 137000 - 235750
1 Vacancy
Job Description
At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at
Job Function:
Data Analytics & Computational SciencesJob Sub Function:
Data ScienceJob Category:
Scientific/TechnologyAll Job Posting Locations:
Titusville New Jersey United States of AmericaJob Description:
We are searching for the best talent for a Senior Principal Data Scientist to be in Titusville NJ.
Our expertise in Innovative Medicine is informed and inspired by patients whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments finding cures and groundbreaking the path from lab to life while championing patients every step of the way.
Learn more at Commercial Data Sciences Teamis looking for an outstanding scientist who is passionate about crafting developing and fielding data science solutions that drive impact for patients and for Johnson & Johnson. There are many ways to explore and analyze data and this powers the enthusiasm and passion of data scientists at J&J as many business units are eager to use the data to build business value.You will be responsible for:
This role supports Strategic Customer Group (SCG) a key function of our Innovative Medicine business. We work on the most pressing business priorities across J&Js portfolio. Responsibilities include leading commercial use cases across Trade Supply Chain Compliance and Contract Analytics focussed on in line as well as launch brands in addition to multiple Generative AI use cases such as agent systems and AI learning. This role needs someone who stays on the cutting edge of artificial intelligence data science and advanced analytics research through novel project execution and development of algorithms that influence decisions at various levels in the organization. A big picture mentality and passion for impact is a must.
The role requires both a broad knowledge of existing AI-type algorithms and the ingenuity to invent and customize when necessary. You will lead and deliver projects and develop solutions that in turn deliver insights. There is a high focus on building strong inter-team relationships networking with emotional intelligence to best meet business requirements while being flexible to unexpected changes. You will work with data translator teams non-technical business partners and highly technical development teams.
You will be a member of a highly collaborative and supportive team which is part of a broader dynamic and accomplished organization that supports multiple therapeutic areas and commercial functions.
Come join us in our mission to transform the future of health!
Qualifications / Requirements:
Ph.D. with 4 years of experience or M.S. with 7 years or B.S. with 9 years of relevant pharma experience with degree in Computer Sciences Statistics Machine Learning & Artificial Intelligence Physics Molecular Biology Bioinformatics Computational Informatics Medical Informatics Computational Biology or a related field.
Solid understanding of machine learning platforms/environments
Experience with practical applications of AI-type algorithms including machine learning techniques such as regression decision trees probability networks association rules clustering neural networks and/or Bayesian models.
Familiarity with large datasets handling of healthcare relevant datasets and understanding of data analysis workflows.
Proficiency with one or more programming language such as Python or R.
Proficiency with SQL.
Experience delivering on data science projects using Machine learning and AI technologies data mining and/or text mining.
Experience with AI Agentic Systems
Familiarity with working in a cloud-based technology stack.
Sophisticated communication skills and ability to translate complex methods and results to diverse audiences.
Experience leading complete end-to-end development teams
Strong ability to establish relationships with business partners and understand their needs.
Consistent track record to deliver end-to-end machine learning projects from understanding business requirements development deployment and management of post-launch operations
Experience with vendor management ensuring timelines and expectations
Preferred Qualifications:
Experience in the Commercial Pharmaceutical business.
Experience in digital media and direct-to-consumer marketing
Experience building deploying and maintaining AI Agentic Systems
Familiarity of commercially available healthcare data sets.
Experience with PySpark.
Familiarity with usage of Generative AI for productivity improvement.
Familiarity with building and deploying Generative AI solutions
Familiarity with open-source and gated/paid model landscape
Experience with Product Management
Other:
This position will require up to 15% domestic travel.
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 and 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 please email the Employee Health Support Center () or contact AskGS to be directed to your accommodation resource.
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The anticipated base pay range for this position is :
The anticipated base pay range for this position is between $137000 and $235750 USDAdditional Description for Pay Transparency:
Subject to the terms of their respective plans employees and/or eligible dependents are 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. Subject to the terms of their respective plans employees are eligible to participate in the Companys consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Companys long-term incentive program. 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 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 Condolence Leave 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave 10 days Volunteer Leave 4 days Military Spouse Time-Off 80 hours Additional information can be found through the link below. Experience:Staff IC
Ph.D. with 4 years of experience or M.S. with 7 years or B.S. with 9 years of relevant pharma experience with degree in Computer Sciences Statistics Machine Learning & Artificial Intelligence Physics Molecular Biology Bioinformatics Computational Informatics Medical Informatics Computational Biology or a related field.
Solid understanding of machine learning platforms/environments
Experience with practical applications of AI-type algorithms including machine learning techniques such as regression decision trees probability networks association rules clustering neural networks and/or Bayesian models.
Familiarity with large datasets handling of healthcare relevant datasets and understanding of data analysis workflows.
Proficiency with one or more programming language such as Python or R.
Proficiency with SQL.
Experience delivering on data science projects using Machine learning and AI technologies data mining and/or text mining.
Experience with AI Agentic Systems
Familiarity with working in a cloud-based technology stack.
Sophisticated communication skills and ability to translate complex methods and results to diverse audiences.
Experience leading complete end-to-end development teams
Strong ability to establish relationships with business partners and understand their needs.
Consistent track record to deliver end-to-end machine learning projects from understanding business requirements development deployment and management of post-launch operations
Experience with vendor management ensuring timelines and expectations
Experience in the Commercial Pharmaceutical business.
Experience in digital media and direct-to-consumer marketing
Experience building deploying and maintaining AI Agentic Systems
Familiarity of commercially available healthcare data sets.
Experience with PySpark.
Familiarity with usage of Generative AI for productivity improvement.
Familiarity with building and deploying Generative AI solutions
Familiarity with open-source and gated/paid model landscape
Experience with Product Management
This position will require up to 15% domestic travel.
Employment Type
Full-Time
Key Skills
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