Senior Data Scientist, Generative AI at Johnson & Johnson

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:New Brunswick New Jersey United States of AmericaJob Description:We are searching for the best talent for Senior Data Scientist Generative AI to be in New Brunswick NJ.About Innovative Medicine 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 pioneering the path from lab to life while championing patients every step of the way.Learn more at As a Data Scientist in Global Finance Data Science Team: You will be responsible for developing data science products including the application of advanced Generative AI models delivering practical high-impact solutions within Global Finance. You will work alongside a global team of Data Scientists Data Engineers Finance Analysts and Machine Learning Engineers to advance data science and AI roadmap for J&Js Global Finance function. You will help deliver value-added insights and analytics to our finance and business leaders reduce manual workload through automation and enhance user-experience.You will help to execute the Data Science/ AI projects for Global Finance function. You will need to have a breadth of skills and knowledge to handle the challenges of translating key business needs into meaningful data science questions and investigating those questions using relevant data analytics and machine learning/ AI techniques.You will be responsible for data science projects across their lifecycle: Prioritization of use-cases design/ proof-of-concept (PoC) development deployment and adoption by end-users. The capabilities developed will include predictive financial forecasting descriptive analytics and data visualization decision support cognitive/ Gen AI technologies and data science technology platform. You will need to connect with different stakeholders to ensure the solutions meet the business and end-user needs and are widely adopted. This includes partnering with Finance Directors CFOs and Group Finance Commercial leaders Process Owners Technology Finance Systems & Data Reporting and Compliance teams. You will need to ensure that PoCs are put into production with correct amount of automation and systems integration. This role will involve understanding the needs of business stakeholders and advocating the merits of Data Science/ Data-driven Analytics to provide viable solutions.You will be responsible for:Develop data science solutions: Business problem understanding data processing algorithms to discover trends & patterns data visualization generation of key insights and communication to senior stakeholders.Employ Generative AI techniques and approaches to upgrade Machine Learning models into hybrid models taking advantage of LLMs capacity to summarize whilst seeking to reduce their capacity to hallucinate.Ensure that all GEN AI output adheres to rules and guidelines defined by legal Compliance and IT.Write production-level and scalable code in Python or R programming languagesImplement machine learning and statistical models for Predictive Time series forecasting Decision Support Gen AI NLP etc.Execute Data Science projects from an end-to-end perspective: From data acquisition data pre-processing modelling visualization and full integration with end-user systems and processes.Develop data processing and modelling pipelines for large datasets from finance and ERP systems such as SAP HANA.Present results key insights and explain complex analysis in a simple manner to senior leaders across different functions to help drive data-driven decision making and adoption. Leverage data visualization/ dashboarding tools for interactive presentations.Deploy analytical models into production. Take accountability for requirements procedures and standards such as version control and documentation.Automation of data pipelines and orchestration of workflows.Leverage and advance robust data architecture and cloud-based technology stack to support production-level work.Partner with cross-functional teams: Technology Finance Systems and Data Group Finance and CFOs Compliance Data Engineering and other Data Scientists to ensure project success.Keep up to date to apply latest technology trends in the areas of data science and artificial intelligence including Generative AI.Flexibility to work in a global team (spanning across multiple time zones) with a culture of continuous innovation teamwork collaboration and inclusion among team members.Work on projects of varying length and complexity in an agile manner with work prioritization and deadlines.Advocate and facilitate the use of data-driven insights and data science methods across J&Js Global Finance organization.Understanding J&Js business as well as Global Finance function to better apply Data Science solutions.Qualifications / Requirements:Qualifications:Minimum of 5 years of relevant experience in an industry setting is requiredMinimum of a Bachelors degree is required preferably in Computer Science Engineering Data Science Business Analytics Science Finance or any quantitative or STEM discipline Engineering or any other quantitative or STEM discipline. Masters degree in a relevant field is preferredAbility to work and collaborate with a global team innovate and drive for common goals and achievements.Experience of executing Data Science projects from initiation through PoC to ProductionKnowledge of Big Data Data Pipelining Machine Learning intermediate level of Software Development and Automation skills.Must have a strong Commercial focus a solid background in Data Science and experience with Machine Learning/ Statistics.Data science experience in a Finance or Commercial setting is strongly preferred.Ability to connect and partner with various stakeholders (cross-functional) including senior executives to identify their needs and drive adoption of the solutions.Experience in managing compliance adherence risk management and stakeholder commitments in large organizationsOther:The position will be located in New Brunswick NJ and may require up to 10% travelJohnson & 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 via . Internal employees contact AskGS to be directed to your accommodation resource.#JNJDataScienceRequired Skills:Preferred Skills:The anticipated base pay range for this position is :The anticipated base pay range for this position is $147000 to $169050 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:Senior IC Key Skills Laboratory Experience,Mammalian Cell Culture,Biochemistry,Assays,Protein Purification,Research Experience,Next Generation Sequencing,Research & Development,cGMP,Cell Culture,Molecular Biology,Flow Cytometry Employment Type : Full-Time Experience: years Vacancy: 1 Monthly Salary Salary: 147000 - 169050