Senior Scientist, Data Science

Senior Scientist, Data Science – Nonclinical Safety and Submissions Senior Scientist, Data Science – Nonclinical Safety and Submissions role at Johnson & Johnson Innovative Medicine. Job Summary Johnson & Johnson Innovative Medicine is currently seeking a Senior Scientist, Data Science to join our Nonclinical Safety and Submissions (NCSS) team. This position will be located at our offices in Spring House, PA, or San Diego, CA (La Jolla area). (No fully remote option available.) Role Overview The Senior Scientist will develop data pipelines and tools to interrogate, analyze, and interpret multimodal safety data, enable integration and interpretation of study data, meta‑analyses, hypothesis generation, and mechanistically‑foundational adverse outcome pathways, enabling on/off target assessments, species comparison, and prediction of human outcomes. The role requires multidisciplinary knowledge to translate biological concerns into data science questions and investigate those using relevant analytics and visualization techniques. Key Responsibilities Collaborate closely with NCSS stakeholders, prioritise and implement NCSS data needs and use cases, including making NCSS data FAIR in the context of relevant metadata. Partner across PSTS and DPDS (IT and Data Science) to assess the data and data product/tool landscape and support development of product implementation roadmaps and action plans. Act as point‑of‑contact subject‑matter expert for the broad user base within NCSS and define super‑user roles. Manage implementation, monitoring, and user analytics for identified platforms. Work cross‑functionally to establish workflow to internalise NCSS data in real time and integrate/connect NCSS data and metadata. Develop processes for data ingestion, warehousing, curation, standardisation and database management as needed. Deploy quality‑control measures to ensure accuracy and completeness of data. Aid in design, testing and validation of products/tools for NCSS data search, interpretation, reporting and communication to stakeholders; deploy relevant data transformations, visualisations, summaries and analytics. Partner with Data Science to develop and implement statistical and machine‑learning models applied to multimodal data from multiple sources. Serve as a subject‑matter expert in data science, assess options and support development and implementation working closely with DPDS DSDH external innovation. Interpret and communicate data with an appropriate level of independence in report writing and PowerPoint presentations. Collaborate, present and communicate project‑related deliverables and findings in multidisciplinary PSTS team meetings. Qualifications PhD or Master’s degree in Biology or related field with programming and data‑science expertise. Or, PhD or Master’s in Computer Science, Statistics, Engineering, Science, Data Science or an applicable quantitative field with experience in biology. 2+ years of Data Science experience (for a PhD), or 4+ years (for a Master’s) in an industry or academic setting post‑degree in positions of increasing responsibility. Experience in Biology, Biotechnology, Immunology, Pathology, In Vitro Diagnostic or Health Care industries preferred. Good knowledge of SAS required. Proficiency in programming (Python, R, SQL, Javascript) and experience with Cloud Platforms (GCP, Azure, AWS) required. Skill in data visualisation and dashboarding tools (Spotfire, PowerBI, R‑Shiny) required. Proficiency in healthcare informatics (SNOMED, CPT, HL7) preferred. Proficiency in statistical models and AI (e.g., multivariate linear regression, cluster algorithms, decision trees, logistic regression, PCA, machine‑learning, Bayesian methods, neural networks) preferred. Knowledge of medical terminology and familiarity with biological research preferred. Key Competencies Strong track record and ability to work independently. Analytical mindset, intellectual curiosity, eagerness for continuous learning and passion for translating data into applied solutions. Excellent interpersonal skills and the ability to work effectively within a diverse team of multidisciplinary scientists. Location & Travel This position will be located in either Spring House, PA, or San Diego, CA. The role requires ability to work across time zones and includes travel expected of less than ten percent. Equity, Diversity & Inclusion Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, 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 inclusive interview process for applicants with disabilities. If you need an accommodation, please contact us via https://www.jnj.com/contact-us/careers. Compensation & Benefits The anticipated base pay range for this position is $105,000 to $169,050. The Company maintains highly competitive, performance‑based compensation programmes. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the plan. Employees may be eligible to participate in company‑sponsored benefit programmes: medical, dental, vision, life insurance, short‑ and long‑term disability, business accident insurance, group legal insurance and 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 https://www.careers.jnj.com/employee-benefits. Required Skills Advanced Analytics, Business Intelligence (BI), Coaching, Collaborating, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis. Preferred Skills Advanced Analytics, Business Intelligence (BI), Coaching, Collaborating, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis. #J-18808-Ljbffr