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Principal Data Scientist, R&D OncologyIsraelvcforum • New York, New York, United States
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Principal Data Scientist, R&D Oncology

Israelvcforum
  • US
    New York, New York, United States
  • US
    New York, New York, United States
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À propos

Principal Data Scientist, R&D Oncology Data Science and Digital Health team (DSDH) position, located in Spring House, PA (preferred), Cambridge, MA or San Diego, CA (La Jolla area). Consideration may be given to Titusville, NJ and Raritan, NJ locations.
This role will support data capture, build and optimize data workflows and store data by designing and implementing engineering requirements. The focus is on Oncology R&D and will support data projects across Clinical, Pre‑Clinical, RWD and ‘omics platforms. It is a leading technical contributor and creative problem solver developing AI‑ready data and other routinely used data applications for Oncology R&D.
Key Responsibilities
Design, develop and maintain data pipelines for acquiring, managing and storing Oncology R&D data from diverse sources (e.g., biomarker labs, real‑world data sources, pre‑clinical applications)
Work closely with Data Science and Oncology R&D partners to understand, document and prioritize business requirements. Translate these business needs into high‑quality data products.
Work closely with other technical leaders such as Ontology and Knowledge Graph Engineers to design and deliver future‑proof, AI‑ready data systems aligned with Oncology R&D business needs.
Develop Oncology R&D‑specific data repositories by implementing standard enterprise‑level data models and create new data models as needed. Leverage cloud‑based technology platforms to accomplish goals, such as building and maintaining data repositories using AWS S3.
Create and optimize data flows for structured and unstructured data using technologies such as Python, R, SQL, AWS services and other relevant tools.
Implement quality and performance standards and measure KPIs to determine accuracy and consistency.
Leverage and implement data versioning and lineage tracking to support data traceability, compliance, and maintaining documentation for data architectures and workflows.
In adherence to internal standards, implement software development best practices such as code versioning and DevOps.
Required Qualifications
Advanced degree (Master’s or equivalent) in Computer Science, Engineering, Life Sciences, or other relevant field is strongly preferred. (Bachelor’s Degree with experience equivalency may be considered.)
3+ years of experience in data engineering, including data modeling and database design, preferably in the healthcare industry.
Proficiency in data engineering tools such as Python, R and SQL for data processing as well as cloud architecture (e.g., AWS services, Redshift, FSx, Glue, Lambda).
Experience with unstructured database technologies (e.g., NoSQL) as well as other database types (e.g., Graph).
Strong skills in analysis, problem‑solving, organizational change, project delivery and managing external vendors.
Proven record leading improvement initiatives with multi‑disciplinary and remote partners.
Demonstrated stakeholder management capabilities—including requirements gathering, business analysis and planning. Must have the capacity to translate discussions into user requirements and project plans.
Ability to manage numerous projects simultaneously, prioritize work, exhibit organizational skills and flexibility to deliver maximum business value.
Willingness to conduct periodic travel (\ Preferred Qualifications
Experience with healthcare data standards (e.g., CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM).
Exposure to high dimensional data technologies and handling, including imaging.
Familiarity with machine learning operations (MLOps) and model deployment.
Location This position will be located at one of our offices in either Spring House, PA (preferred), Cambridge, MA or San Diego, CA (La Jolla area). Consideration may be given to Titusville and Raritan, NJ locations. (No remote option.)
EEO Statement 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.
Accommodations 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.
Compensation and Benefits Overview The anticipated base pay range for this position is $117,000 to $201,250. 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. 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)).
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
Personal and Family Time – up to 40 hours per calendar year
Additional information can be found through https://www.careers.jnj.com/employee-benefits
Skills Required Skills:
Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis.
Preferred Skills:
Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis.
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  • New York, New York, United States

Compétences linguistiques

  • English
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