Manager, Innovative Scientific Analytics bei Johnson & Johnson

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:

Market Access

Job Sub Function:

Health Economics Outcomes Research

Job Category:

Professional

All Job Posting Locations:

Titusville, New Jersey, United States of America

Job Description:

Johnson & Johnson is recruiting for a Manager, Innovative Scientific Analytics to be located in Titusville, NJ.

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/.

Purpose:

Johnson & Johnson is seeking a candidate to enhance our innovative scientific analytics capability.  In this capacity the Manager, Innovative Scientific Analytics, will assist in the design, development, implementation, and deployment of automated analytics solutions to drive and accelerate evidence and insight generation with AI/GenAI and ML.

You will be responsible for:

• This person will support innovative scientific analytic projects in collaboration with cross-functional partners including Scientific Affairs, Medical Affairs, Strategic Customer Group, and other functions to perform scientifically rigorous analytics.

• The successful candidate will provide critical on-demand analytics support to our internal partners, translate analytics requests into data and programming languages, applying appropriate advanced analytics methods.

• Ensure all analytics projects are conducted in compliance with internal and external policies, and procurement requirements are satisfied.

• Activities may also include:  data query, data engineering, and data management; design and implementation of AI/ML approaches to support real-world evidence studies that provide economic perspective for product portfolio decisions, marketing, and product reimbursement strategies; design, implement, and manage real-world evidence studies and the development of models/tools, from concept through delivery; manage AI/ML techniques to develop and deliver research analytics or reimbursement programs; develop user facing full stack applications.

Qualifications / Requirements:

• A minimum of a Master’s degree is required, in Computer Science, Physics, Mathematics, Statistics, Engineering,  Economics, Data Science or related quantitative discipline. A doctorate degree, such as PhD, is strongly preferred.

• A minimum of 4 years of data-centric work experience in an industry environment or 2 years with a doctorate degree is required.

• Proficiency in developing full stack data science application is required.

• Experience in performing algorithm design, implementation, and/or optimization, including algorithm-level understanding of analytic models is required

• Experience on LLM architecture and fine-tuning and RAG

• Experience on agentic AI frameworks like Langchain, AutoGen, or CrewAI.

• Strong written and oral communication skills are required.

• Self-motivation, self-initiation, and ability to meet deadlines are required.

• Scientific lead and project management experience is required.

• Experience in delivering end-to-end analytic solutions to cross-functional partners is strongly preferred

• Experience deploying analytics/machine learning solutions on cloud platforms (AWS/Azure/GCP), including containerization (Docker/Kubernetes) and CI/CD automation.

• Proficiency in version control (Git), collaborative coding, and software engineering best practices.

• Familiarity with big data tools and frameworks (e.g., Spark, Hadoop, Dask) and pipeline orchestration (e.g., Airflow, Luigi).

• Experience developing APIs for model serving (e.g., RESTful APIs, FastAPI, Flask).

• Awareness of data security, regulatory standards, and best practices for privacy.

• Experience in prototyping interactive dashboards or full-stack web applications (e.g., Dash, Streamlit, or JavaScript frameworks).

• Experience in high performance computing and parallel programming is strongly preferred

• Machine Learning Foundation: Experience in integrating and deploying machine learning models, familiarity with common ML libraries such as Scikit-Learn, Pandas, Matplotlib, PyTorch, or Keras is strongly preferred

• Experience in managing SQL (postgresSQL, mySQL) and noSQL databases and large data set manipulation is strongly preferred

• Previous experience in oncology, hematology, immunology, or neuroscience is preferred.

Other:

• Position may require up to 10% travel (domestic).

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 and 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 email the Employee Health Support Center ([email protected]) or contact AskGS to be directed to your accommodation resource.

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The anticipated base pay range for this position is :

The anticipated base pay range for this position is $100,000 to $172,500 USD

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees and/or eligible dependents are 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. Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave – 10 days Volunteer Leave – 4 days Military Spouse Time-Off – 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits Jetzt bewerben