Johnson & Johnson
Senior Data Scientist
Johnson & Johnson, Raritan, New Jersey, us, 08869
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 https://www.jnj.com/ .
Johnson & Johnson is currently recruiting for a Senior Scientist, Global Commercial Data Science (GCDS) , J&J Innovative Medicine. The location for this position is Raritan, NJ.
The Senior Scientist will design, develop, and lead the execution of impactful data science projects delivering insights and analytics that shape commercial development of our clinical-stage pipeline. Working with the Senior Director, Global Data Science, Oncology and in close partnership with Global Commercial Strategy Organization (GCSO) partner teams, you will use your deep technical expertise and pharmaceutical industry knowledge to advance the application of leading data science analytical methodologies to domain-specific data assets to drive insights and decisions that optimize the patient benefit and commercial value of the pharmaceutical pipeline.
Major responsibilities include evaluating available and potential data sources, driving data strategy to strengthen our analytics, evaluating and developing end-to-end solutions, leading and implementing specific data science projects by applying creative approaches and innovative algorithms within commercial analytics, and advancing data-driven decision-making and data science practice across GCSO. Key partnerships include commercial analytics, medical affairs and market access within GCSO as well as regional commercial analytics and scientific affairs teams, J&J Technology (JJT) data sciences, R&D Data Science, JJT, global epidemiology, and others.
Responsibilities
A ct as a hands-on, technical contributor to conceive, design, build, and implement state- of-the art scientific algorithmsLeads data science projects by developing and applying creative solutions that go beyond current tools to deliver data-driven insights for high-priority global commercial analytic business questionsDefine data and analytics strategies and methods for specific Data Science projects across GCSOUse AI/ML to transform our commercial strategy operations through impactful analytics projects that improve GCSO strategic decisionsEffectively navigate technological, analytical, legal, and privacy complexities to achieve objectivesParticipate in project teams and collaborate closely with asset and disease area teams across Commercial, Medical Affairs, and Market Access on outcomes and insights from specific data science projectsPartner outside of GCSO with the regional businesses, global epidemiology, R&D, JJT, Legal, HCC and others in the development of the Data Science strategy and guidelines for insight generation and usageContribute actively to internal J&J Data Science communities of practice, sharing methodologies and improving enterprise Data Science knowledge and capacityProvide technical guidance to other team membersWork side-by-side with colleagues across GCDS to deliver integrated approaches to deliver on high value use cases / problems
Qualifications
Master's degree in a quantitative field such as computer science, computational biology, statistics, epidemiology or a related discipline. PhD/PharmD/MD preferred.At least 3 years of relevant experience in healthcare or life sciences industry is requiredAt least 3 years of relevant hands-on data science experience in a commercial, medical affairs, scientific affairs and/or R&D environment is requiredKnowledge of machine learning, deep learning, and statistical modeling methods for supervised and unsupervised learning, including (but not limited to) regression analysis, clustering, outlier detection, decision trees, ensemble methods and boosting, and neural networks is requiredFamiliarity with large datasets, understanding of data analysis workflows, and/or knowledge of querying languages such as SQL is required.Handling of healthcare relevant datasets, such as EHR, insurance claims or registry data, is required.Proficient with one or more programming language such as Python, R, C , or Java is required.Experience delivering on projects using large scale LLMs is preferred.Experience with visualization software/tools such as R, Spotfire, Tableau, etc. is preferredSpecific data science experience within Oncology preferredStrong problem-solving skills with a solution-oriented mindsetProven experience in prioritizing and leading a complicated portfolio of projectsExcellent communication, interpersonal, and written skills are required
Other
Must be able to travel up to 10% domestically to meet with stakeholders and business partners.The anticipated base pay range for this position is between $113K and $195,500K USD.
Johnson & Johnson is an Affirmative Action and 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, or protected veteran status and will not be discriminated against on the basis of disability.#J-18808-Ljbffr
Johnson & Johnson is currently recruiting for a Senior Scientist, Global Commercial Data Science (GCDS) , J&J Innovative Medicine. The location for this position is Raritan, NJ.
The Senior Scientist will design, develop, and lead the execution of impactful data science projects delivering insights and analytics that shape commercial development of our clinical-stage pipeline. Working with the Senior Director, Global Data Science, Oncology and in close partnership with Global Commercial Strategy Organization (GCSO) partner teams, you will use your deep technical expertise and pharmaceutical industry knowledge to advance the application of leading data science analytical methodologies to domain-specific data assets to drive insights and decisions that optimize the patient benefit and commercial value of the pharmaceutical pipeline.
Major responsibilities include evaluating available and potential data sources, driving data strategy to strengthen our analytics, evaluating and developing end-to-end solutions, leading and implementing specific data science projects by applying creative approaches and innovative algorithms within commercial analytics, and advancing data-driven decision-making and data science practice across GCSO. Key partnerships include commercial analytics, medical affairs and market access within GCSO as well as regional commercial analytics and scientific affairs teams, J&J Technology (JJT) data sciences, R&D Data Science, JJT, global epidemiology, and others.
Responsibilities
A ct as a hands-on, technical contributor to conceive, design, build, and implement state- of-the art scientific algorithmsLeads data science projects by developing and applying creative solutions that go beyond current tools to deliver data-driven insights for high-priority global commercial analytic business questionsDefine data and analytics strategies and methods for specific Data Science projects across GCSOUse AI/ML to transform our commercial strategy operations through impactful analytics projects that improve GCSO strategic decisionsEffectively navigate technological, analytical, legal, and privacy complexities to achieve objectivesParticipate in project teams and collaborate closely with asset and disease area teams across Commercial, Medical Affairs, and Market Access on outcomes and insights from specific data science projectsPartner outside of GCSO with the regional businesses, global epidemiology, R&D, JJT, Legal, HCC and others in the development of the Data Science strategy and guidelines for insight generation and usageContribute actively to internal J&J Data Science communities of practice, sharing methodologies and improving enterprise Data Science knowledge and capacityProvide technical guidance to other team membersWork side-by-side with colleagues across GCDS to deliver integrated approaches to deliver on high value use cases / problems
Qualifications
Master's degree in a quantitative field such as computer science, computational biology, statistics, epidemiology or a related discipline. PhD/PharmD/MD preferred.At least 3 years of relevant experience in healthcare or life sciences industry is requiredAt least 3 years of relevant hands-on data science experience in a commercial, medical affairs, scientific affairs and/or R&D environment is requiredKnowledge of machine learning, deep learning, and statistical modeling methods for supervised and unsupervised learning, including (but not limited to) regression analysis, clustering, outlier detection, decision trees, ensemble methods and boosting, and neural networks is requiredFamiliarity with large datasets, understanding of data analysis workflows, and/or knowledge of querying languages such as SQL is required.Handling of healthcare relevant datasets, such as EHR, insurance claims or registry data, is required.Proficient with one or more programming language such as Python, R, C , or Java is required.Experience delivering on projects using large scale LLMs is preferred.Experience with visualization software/tools such as R, Spotfire, Tableau, etc. is preferredSpecific data science experience within Oncology preferredStrong problem-solving skills with a solution-oriented mindsetProven experience in prioritizing and leading a complicated portfolio of projectsExcellent communication, interpersonal, and written skills are required
Other
Must be able to travel up to 10% domestically to meet with stakeholders and business partners.The anticipated base pay range for this position is between $113K and $195,500K USD.
Johnson & Johnson is an Affirmative Action and 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, or protected veteran status and will not be discriminated against on the basis of disability.#J-18808-Ljbffr