Remote Statistics & Decision Sciences Intern

Johnson & Johnson Co.; Titusville (NJ); Hybrid; USD 33,000 - 73,000; Full time

Benefits offered by this job

Housing stipend

Remote work flexibility

Job summary

Johnson & Johnson invites graduate and undergraduate students to the Statistics & Decision Sciences Summer Internship across multiple sites including Raritan, Titusville, Spring House and La Jolla. Virtual options may be available.

Interns collaborate with practicing statisticians on drug development, data preparation, visualization, and modeling in immunology, oncology, neuroscience, and more. Interns complete defined projects with mentorship, gain networking opportunities, and explore

Qualifications

• Candidates must be enrolled in an accredited college/university and pursuing an MS, PhD, or equivalent in a quantitative field.
• Candidates must be legally authorized to work in the United States without sponsorship.
• Candidates must be available to work 10–12 weeks from May to August 2027.
• Minimum GPA of 3.0.

Responsibilities

• Contribute to data preparation, graphical data exploration, data visualization, statistical modeling and analysis.
• Develop computer programs or software supporting study design and analyses.
• Work on defined projects with guidance from statisticians or computing scientists; participate in mentoring and professional development.

Skills

Statistical reasoning

R

Python

Communication

Leadership

Independent/work in team

Mentoring experience

Education

MS/PhD or equivalent in Statistics/Biostatistics/Data Science/CS

GPA 3.0 or higher

Legal right to work in US without sponsorship

Available for 10-12 weeks May–Aug 2027

Tools

R

Python

Job description

Johnson & Johnson invites graduate and undergraduate students to the Statistics & Decision Sciences Summer Internship across multiple sites including Raritan, Titusville, Spring House and La Jolla. Virtual options may be available.

Interns collaborate with practicing statisticians on drug development, data preparation, visualization, and modeling in immunology, oncology, neuroscience, and more. Interns complete defined projects with mentorship, gain networking opportunities, and explore