Senior Scientist, Data Science - Nonclinical Safety and Submissions

Posted 2 Days Ago
Be an Early Applicant
2 Locations
In-Office
105K-169K Annually
Senior level
Healthtech • Pharmaceutical • Manufacturing
The Role
The Senior Scientist will develop data pipelines, analyze multimodal safety data, implement statistical models, and collaborate with multidisciplinary teams. Responsibilities include data management and visualization, alongside integration and interpretation of study outcomes to advance therapeutic solutions.
Summary Generated by Built In

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions 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

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

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

Job Description:

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 https://www.jnj.com/innovative-medicine

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. NCSS is a team of toxicologists and nonclinical writers responsible for delivering on the PSTS portfolio (efficacy-to-safety, Discovery through Post-Marketing) across all J&J modalities and therapeutic areas.

The Senior Scientist will develop data pipelines and tools to interrogate, analyze, and interpret multimodal safety data, and enable integration and interpretation of study data, meta-analyses, and hypothesis generation, as well as generation of mechanistically-founded adverse outcome pathways enabling on/off target assessments, species comparison, and prediction of human outcomes.  The role requires a breadth of skills and knowledge to address key biological concerns and portfolio needs into meaningful data science questions and investigating those using relevant data analytics and visualization techniques. The candidate is intellectually curious and will thrive in a dynamic, multidisciplinary, and collaborative environment.

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.
  • Partners across PSTS and DPDS (IT and Data Science) to assess the data and data product/tool landscape and supports development of product implementation roadmaps and action plan​s.
  • Act as point of contact subject matter expert for broad user base within in NCSS, and defined superuser.
  • Manage implementation, monitoring, and user analytics for identified platforms.
  • Works cross functionally to establish workflow to internalize NCSS data in real time​ and to 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.
  • ​Aids in the design, testing, and validations of products/tools for NCSS data search, interpretation, reporting and communication to stakeholders; deploys relevant data transformations, visualizations, ​summaries, and analytics.
  • Partners with Data Science to develop and implement statistical and machine learning models applied to multimodal data from multiple sources.
  • Serves as a subject matter expert in data science, capable of assessing options and supporting development and implementation working closely with DPDS DSDH external innovation.
  • Interprets and communicates data with an appropriate level of independence in report writing and PowerPoint presentations. Collaborates, presents and communicates project-related deliverables and findings in multidisciplinary PSTS team meetings.

QUALIFICATIONS

  • PhD or a Master’s degree in Biology or related field with programming and data science expertise is required
  • Or, a PhD or Master’s 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 Master’s) in an industry or academic setting post-degree 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, R-Shiny) 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 mind-set, 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.)

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, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is $105,000 to $169,050. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. 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 long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in 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 the link below. https://www.careers.jnj.com/employee-benefits

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

#LI-SL
#JNJDataScience
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#LI-Hybrid



Required Skills:



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

Top Skills

AWS
Azure
GCP
JavaScript
Power BI
Python
R
R-Shiny
SAS
Spotfire
SQL
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The Company
HQ: New Brunswick, NJ
143,612 Employees
Year Founded: 1886

What We Do

Profound Change Requires Boldness.

Johnson & Johnson is the largest and most broadly based healthcare company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years.

The combination of new technologies and your expertise enables amazing things to happen. Teams from J&J’s consumer business are creating digital tools to help people track the health of their skin. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world.

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