Johnson & Johnson is seeking to enhance its innovative scientific analytics capability to drive and accelerate evidence and insight generation with AI/GenAI and ML, and to deliver breakthroughs in healthcare solutions.
Requirements
- proficiency in developing full stack data science application
- experience in performing algorithm design, implementation, and/or optimization, including algorithm-level understanding of analytic models
- experience on LLM architecture and fine-tuning and RAG
- experience on agentic AI frameworks like Langchain, AutoGen, or CrewAI
- experience deploying analytics/machine learning solutions on cloud platforms (AWS/Azure/GCP)
- 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)
Responsibilities
- support innovative scientific analytic projects in collaboration with cross-functional partners
- provide critical on-demand analytics support to 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
- design and implementation of AI/ML approaches to support real-world evidence studies
- manage AI/ML techniques to develop and deliver research analytics or reimbursement programs
- develop user facing full stack applications
Other
- a minimum of a Master’s degree is required, in Computer Science, Physics, Mathematics, Statistics, Engineering, Economics, Data Science or related quantitative discipline
- a minimum of 4 years of data-centric work experience in an industry environment or 2 years with a doctorate degree is required
- strong written and oral communication skills are required
- self-motivation, self-initiation, and ability to meet deadlines are required
- position may require up to 10% travel (domestic)
