Job Description

Senior Scientist, Data Science - Nonclinical Safety and Submissions

Join to apply for the Senior Scientist, Data Science - Nonclinical Safety and Submissions role at Johnson & Johnson Innovative Medicine .

Job Function

Data Analytics & Computational Sciences
Job Sub Function: Data Science
Job Category: Scientific/Technology

Locations

San Diego, California, United States of America
Spring House, Pennsylvania, United States of America

Job Description

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 office in either Spring House, PA, or San Diego, CA (La Jolla area). (No fully remote option available.)

Nonclinical Safety and Submissions (NCSS), Preclinical Sciences and Translational Safety (PSTS), is seeking a highly motivated Senior Scientist to deliver transformative big data capabilities that will drive efficiency, holistic data interpretations, and mechanistic insights to power the new discovery paradigm.

Key Responsibilities

• Collaborate closely with NCSS stakeholders, prioritize 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 broad user base within NCSS and defined superuser.
• Manage implementation, monitoring, and user analytics for identified platforms.
• Work crossfunctionally to establish workflow to internalize NCSS data in real time and integrate/connect NCSS data and metadata. Develop processes for data ingestion, warehousing, curation, standardization and database management when needed. Deploy quality control measures to ensure accuracy and completeness of data.
• Aid in the design, testing, and validations of products/tools for NCSS data search, interpretation, reporting and communication to stakeholders; deploy relevant data transformations, visualizations, 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, capable of assessing options and supporting 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 projectrelated deliverables and findings in multidisciplinary PSTS team meetings.

Qualifications

• PhD or a Masters degree in Biology or related field with programming and data science expertise is required.
• Or, a PhD or Masters degree in Computer Science, Statistics, Engineering, Science, Data Science, or applicable quantitative field with experience in biology is required.
• 2+ years of Data Science experience (for a PhD), or 4+ years (for Masters) in an industry or academic setting postdegree in positions of increasing responsibility is required.
• Experience in Biology, Biotechnology, Immunology, Pathology, In Vitro Diagnostic, or Health Care industries preferred.
• Good knowledge of SAS required.
• Proficiency in programming (e.g. Python, R, SQL, Javascript) and experience with Cloud Platforms (e.g. GCP, Azure, AWS) required.
• Skill in data visualization and dashboarding tools (e.g. Spotfire, PowerBI, RShiny) required.
• Proficiency in healthcare informatics (SNOMED, CPT, HL7) preferred.
• Proficiency in the use of statistical models and AI (e.g. multivariate linear regression, cluster algorithms, decision trees, logistic regression, Principal Component Analysis [PCA], machine learning [supervised and unsupervised], 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 required. Ability to work effectively within a diverse team of multidisciplinary scientists.

This position will be located in either Spring House, PA, or San Diego, CA, and requires the ability to work across time zones, with travel expected <10%. (No fully remote option available.)

Equal Opportunity

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, please contact us via .

Compensation and Benefits

The anticipated base pay range for this position is $105,000 to $169,050. The Company maintains highly competitive, performancebased compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. 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 longterm disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company consolidated retirement plan (pension) and savings plan (401(k)).

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

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