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 jnj.com.
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Non-LDP Intern/Co-OpJob Category:
Career ProgramAll Job Posting Locations:
Malvern, Pennsylvania, United States of AmericaJob Description:
About Innovative MedicineOur expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine
We are searching for the best talent for TDS Digital Ops & Strat Intern to be in Malvern, PA.
- 1 vacancy is currently available.
- The Co-op term is six months typically from May to August, 2027 (flexible).
- Full time requirement (40 hours per week) Fully On-site.
Purpose:
The TDS Digital Operations & Strategy organization is seeking a highly motivated Co-Op interested in bioprocess advanced analytics, data science, and Process Analytical Technology (PAT).
In this role, the Intern will work at the intersection of bioprocessing, analytical technologies, and data science to support the development of advanced analytical and modeling approaches for bioproduction. The position provides hands-on experience with process sensors, spectroscopy, multivariate modeling, programming, model development, and analytical tools while collaborating with cross-functional scientific and technical teams.
You will be responsible:
- Collaborating with cross-functional teams to prepare, test, and execute Design of Experiments (DoE) sample sets involving complex biological matrices.
- Acquiring and analyzing data generated from process sensors and analytical instrumentation, including Raman, IR, and NIR spectroscopy.
- Developing and applying multivariate models using chemometric, statistical, and advanced data science approaches to improve bioprocess understanding.
- Supporting the development, optimization, testing, and validation of analytical and predictive models.
- Applying programming and data science skills to model building, analytical tool development, data processing, and visualization.
- Supporting the integration of in situ analytical approaches and Process Analytical Technology (PAT) into operational workflows.
- Applying statistical analyses to experimental and process datasets to identify trends, relationships, and actionable insights.
- Gaining hands-on experience with PAT instrumentation and data science tools used in bioprocess development.
- Supporting analytical activities involving spectroscopy, chromatography, mass spectrometry, and related technologies, as applicable.
- Documenting analytical methods, models, technical findings, and project outcomes.
- Communicating results and insights to internal research and cross-functional teams.
- Providing additional analytical, digital, and project support as needed.
Qualifications / Requirements:
- Completion of Undergraduate Freshman year at an accredited University is required.
- Currently pursuing a Bachelor's, Master's, or PhD degree in Chemical Engineering, Biological Engineering, Biomedical Engineering, Biology, Chemistry, Analytical Chemistry, Biochemistry, Molecular Biology, Microbiology, Pharmaceutical Sciences, Data Science or related scientific, engineering, or quantitative disciplines.
- Have a cumulative GPA of 3.0 or higher, which is reflective of all college coursework.
- Programming experience, including Python coding and experience supporting software development, model building, and/or analytical tool development.
- Strong analytical, quantitative, statistical, and problem-solving skills.
- Ability to analyze and interpret complex scientific or process datasets.
- Ability to work independently as a self-starter while collaborating effectively within multidisciplinary teams.
- Ability to manage multiple projects and priorities while delivering results.
Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.
If you are under 18 years of age, you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment, as well as get a parent’s consent for the background check.
Preferred Qualifications:
Programming, Data Science & Modeling:
- Experience with Python and familiarity with R and/or MATLAB.
- Experience developing analytical, statistical, predictive, or multivariate models.
- Experience with chemometric modeling, multivariate data analysis, or related advanced analytics approaches.
- Exposure to deep learning or other advanced modeling methodologies.
- Experience with scientific data processing, visualization, and model validation.
- Interest or experience in software or analytical tool development.
- Experience or familiarity with spectroscopy, including Raman, IR, and/or NIR.
- Experience or familiarity with chromatography and/or mass spectrometry (MS).
- Familiarity with Process Analytical Technology (PAT) instruments, process sensors, or in situ analytical approaches.
- Experience working with analytical instrumentation and complex biological datasets is preferred.
- Knowledge of or experience with cell culture is preferred.
- Experience with biological matrices, bioprocessing, or bioproduction is a plus.
- Experience with Design of Experiments (DoE), experimental execution, and statistical analysis.
- Prior laboratory or scientific research experience is preferred.
- Strong communication and presentation skills with the ability to communicate technical findings to multidisciplinary audiences.
- Demonstrated initiative, curiosity, leadership, and collaborative problem-solving skills.
Ineligibility for severance.
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 & 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 contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.
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Required Skills:
Preferred Skills:
Skills Required
- Completion of undergraduate freshman year at an accredited university
- Currently pursuing a Bachelor's, Master's, or PhD in chemical engineering, biological engineering, biomedical engineering, biology, chemistry, analytical chemistry, biochemistry, molecular biology, microbiology, pharmaceutical sciences, data science, or a related scientific, engineering, or quantitative discipline
- Cumulative GPA of 3.0 or higher
- Programming experience, including Python coding and experience supporting software development, model building, or analytical tool development
- Strong analytical, quantitative, statistical, and problem-solving skills
- Ability to analyze and interpret complex scientific or process datasets
- Ability to work independently while collaborating effectively within multidisciplinary teams
- Ability to manage multiple projects and priorities while delivering results
- Permanent authorization to work in the United States without requiring current or future employment visa sponsorship
- Experience with Python and familiarity with R and/or MATLAB
- Experience developing analytical, statistical, predictive, or multivariate models
- Experience with chemometric modeling, multivariate data analysis, or advanced analytics
- Exposure to deep learning or other advanced modeling methodologies
- Experience with scientific data processing, visualization, and model validation
- Interest or experience in software or analytical tool development
- Experience or familiarity with Raman, IR, or NIR spectroscopy
- Experience or familiarity with chromatography and/or mass spectrometry
- Familiarity with Process Analytical Technology instruments, process sensors, or in situ analytical approaches
- Experience working with analytical instrumentation and complex biological datasets
- Knowledge of or experience with cell culture
- Experience with biological matrices, bioprocessing, or bioproduction
- Experience with Design of Experiments, experimental execution, and statistical analysis
- Prior laboratory or scientific research experience
- Strong communication and presentation skills for communicating technical findings to multidisciplinary audiences
- Demonstrated initiative, curiosity, leadership, and collaborative problem-solving skills
Johnson & Johnson Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson & Johnson and has not been reviewed or approved by Johnson & Johnson.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive across medical, dental, and vision, with added supports like onsite clinics, fitness centers, and Employee Assistance resources. Mental-health services and wellbeing reimbursements are also described as meaningful components of the overall package.
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Retirement Support — Retirement offerings are portrayed as a major differentiator, combining a 401(k) with employer matching and an employer-funded pension plan. Stock options and other long-term financial supports are also positioned as part of the broader rewards mix.
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Parental & Family Support — Family-related benefits are presented as notably strong, including paid parental leave for all new parents and additional leave types for caregiving and bereavement. Financial assistance for adoption, fertility treatment, and surrogacy is highlighted as a significant support.
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