Manager, Innovative Scientific Analytics
Manager, Innovative Scientific Analytics
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$ 100000 - 172500
1 Vacancy
Job Description
At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at
Job Function:
Market AccessJob Sub Function:
Health Economics Outcomes ResearchJob Category:
ProfessionalAll Job Posting Locations:
Titusville New Jersey United States of AmericaJob Description:
Johnson & Johnson is recruiting for a Manager Innovative Scientific Analytics to be located in Titusville NJ.
At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions 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.
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 Masters 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 () 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 $100000 to $172500 USDAdditional 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 Companys consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Companys 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. Experience:Manager
Employment Type
Full-Time
Key Skills
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