TDS Digital Ops & Strat Intern

Johnson & Johnson Innovative Medicine•Malvern, PA

2d•Onsite

About The Position

Johnson & Johnson’s TDS Digital Operations & Strategy organization is seeking a Co-Op interested in bioprocess advanced analytics, data science, and Process Analytical Technology (PAT). The role works at the intersection of bioprocessing, analytical technologies, and data science, supporting the development of advanced analytical and modeling approaches for bioproduction. It offers hands-on experience with process sensors, spectroscopy, multivariate modeling, programming, model development, and analytical tools, in collaboration with cross-functional scientific and technical teams. The six-month Co-Op term is typically from May to August 2027, with timing described as flexible. The position is based in Malvern, Pennsylvania, is fully on-site, and requires 40 hours per week. One vacancy is available.

Requirements

Completion of undergraduate freshman year at an accredited university.
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 a related scientific, engineering, or quantitative discipline.
Cumulative GPA of 3.0 or higher across 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 and collaborate effectively within multidisciplinary teams.
Ability to manage multiple projects and priorities while delivering results.
Permanently authorized to work in the U.S. without requiring employment visa sponsorship at application or in the future.

Nice To Haves

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 PAT 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 (DoE), experimental execution, and statistical analysis.
Prior laboratory or scientific research experience.
Strong communication and presentation skills, including communicating technical findings to multidisciplinary audiences.
Demonstrated initiative, curiosity, leadership, and collaborative problem-solving skills.

Responsibilities

Collaborate with cross-functional teams to prepare, test, and execute Design of Experiments (DoE) sample sets involving complex biological matrices.
Acquire and analyze data generated from process sensors and analytical instrumentation, including Raman, IR, and NIR spectroscopy.
Develop and apply multivariate models using chemometric, statistical, and advanced data science approaches to improve bioprocess understanding.
Support the development, optimization, testing, and validation of analytical and predictive models.
Apply programming and data science skills to model building, analytical tool development, data processing, and visualization.
Support the integration of in situ analytical approaches and Process Analytical Technology (PAT) into operational workflows.
Apply statistical analyses to experimental and process datasets to identify trends, relationships, and actionable insights.
Gain hands-on experience with PAT instrumentation and data science tools used in bioprocess development.
Support analytical activities involving spectroscopy, chromatography, mass spectrometry, and related technologies, as applicable.
Document analytical methods, models, technical findings, and project outcomes.
Communicate results and insights to internal research and cross-functional teams.
Provide additional analytical, digital, and project support as needed.