Senior ML R&D Engineer, Biopharma—Hybrid

6084-Janssen Research & Development, LLC Legal Entity

Spring House (PA)

Hybrid

USD 150,000 - 210,000

Full time

14 days+
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Benefits offered by this job

Vacation – 120 hours per year
Sick time – 40 hours per year
Holiday pay – 13 days per year
Parental Leave – 480 hours/year
Bereavement Leave – 240 hours/year
Volunteer Leave – 32 hours/year

Job summary

Johnson & Johnson is seeking a PhD-qualified leader to develop strategic AI/ML capabilities for biopharmaceutical development. You will build models to support development teams and deliver user-friendly solutions that empower data-driven decisions.

The role involves collaborating across IT and business functions, designing experiments, and transforming historical data into actionable knowledge. A hybrid work arrangement and IP-focused impact are expected.

Qualifications

  • Ph.D. in Science, Industrial Eng, OR Data Science, with 2 years of related experience.
  • Experience leading strategic modeling programs and delivering solutions.
  • Experience applying ML to biopharmaceutical development.
  • Proficiency in programming languages listed in the requirements.

Responsibilities

  • Develop strategic roadmap and capabilities for applied AI/ML in biopharma development.
  • Build ML models to help development teams make data-driven decisions.
  • Deliver user-ready solutions for project teams to use models.
  • Collaborate with IT to enable data flow for modeling.
  • Advise teams on experimental design and data transformation to knowledge.
  • Collaborate with scientists on modeling opportunities in CMC space.
  • Leverage LLM and cloud platforms to enable faster, robust development.
  • Protect IP and contribute to patentable outputs.

Skills

Applied ML
Biopharma analytics
Data-driven decision making

Education

Ph.D. in Science/Engineering/Data Science/AI

Tools

.NET
Java
C++
Python
R
Matlab
SQL
Azure/AWS

Job description

Johnson & Johnson is seeking a PhD-qualified leader to develop strategic AI/ML capabilities for biopharmaceutical development. You will build models to support development teams and deliver user-friendly solutions that empower data-driven decisions.

The role involves collaborating across IT and business functions, designing experiments, and transforming historical data into actionable knowledge. A hybrid work arrangement and IP-focused impact are expected.

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