TDS Proteins API USP Co-Op

Johnson & Johnson•Malvern, PA

16h•Onsite

About The Position

The TDS Proteins Development API organization is seeking highly motivated Co-Op candidates to support Upstream Process Development initiatives focused on mammalian cell culture, bioreactor process development, process modeling, advanced data analytics, and manufacturing scale-down models. This opportunity provides hands-on experience supporting the development and optimization of CHO cell culture processes, dynamic feeding strategies, media and process parameter studies, product quality assessments, and automated high-throughput bioreactor systems. Co-Ops will collaborate with scientists, engineers, and internal and external partners to generate, analyze, and interpret data that advance upstream process understanding, scalability, productivity, and manufacturing readiness.

Requirements

Completion of Undergraduate Freshman year at an accredited University is required.
Currently pursuing a Bachelor’s, Master’s or PhD degree in Biology, Chemistry, Analytical Chemistry, Biochemistry, Molecular Biology, Microbiology, Biotechnology, Chemical, Biological, Biomedical Engineering, Pharmaceutical Sciences, Related scientific or engineering disciplines.
Have a cumulative GPA of 3.0 or higher, which is reflective of all college coursework.
Experience with aseptic mammalian cell culture techniques is required for laboratory-focused assignments.
Some experience with bioreactor operation is required for bioreactor-focused assignments.
Strong analytical, quantitative, and problem-solving skills are required.
Ability to analyze complex experimental or process data and draw data-driven conclusions.
Ability to balance multiple projects and priorities while delivering results.
Ability to work independently as a self-starter while contributing effectively to team objectives.
Strong written and verbal communication skills, including the ability to present technical findings.
Candidates must be legally authorized to work in the United States and must not require sponsorship for employment visa status now or in the future.
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.
Experience with aseptic mammalian cell culture techniques, including suspension cell culture.
Experience with bioreactor operations and upstream process development principles.
Strong analytical, quantitative, and statistical problem-solving skills.
Experience analyzing, visualizing, and presenting scientific or process data.
Proficiency in at least one scientific computing language, such as Python, MATLAB, or R.
Ability to apply data-driven approaches to process understanding and optimization.

Nice To Haves

Experience or exposure in one or more of the following areas is preferred:
Cell Culture & Bioprocessing: Experience with aseptic mammalian cell culture and bioreactor operations.
Experience with fed-batch and/or perfusion cell culture processes.
Experience supporting upstream process development, media development, or process characterization studies.
Familiarity with Process Analytical Technology (PAT) tools and real-time process monitoring technologies.
Data Science, Modeling & Analytics: Experience using data analysis and statistical software, including JMP.
Experience with statistical analysis, Design of Experiments (DOE), and multivariate data analysis.
Experience developing dynamic cell culture process models using mechanistic, data-driven, and/or hybrid modeling approaches.
Knowledge of Process Systems Engineering principles and model-based process development.
Experience with data science, machine learning, predictive modeling, and advanced analytics techniques.
Experience developing algorithms, predictive models, or digital tools to support process monitoring and optimization.
Programming & Scientific Computing: Coding experience using Python, MATLAB, R, or similar scientific computing platforms.
Experience with data visualization, data aggregation, data management, and scientific programming.

Responsibilities

Supporting upstream process development activities involving CHO cell culture, media development, bioreactor operation, and process optimization.
Designing and executing shake-flask, small-scale bioreactor, and automated high-throughput bioreactor studies.
Developing correlations between real-time biocapacitance signals and offline viable cell density measurements across different CHO cell lines and media conditions.
Supporting the development and implementation of dynamic feeding strategies that adjust nutrient feed rates based on real-time cell density measurements.
Evaluating the impact of media components, feeding strategies, and process parameters on cell culture performance and product quality attributes, including titer, viability, productivity, and galactosylation.
Supporting development and characterization of small-scale models that represent manufacturing-scale cell culture processes.
Comparing small-scale and manufacturing-scale process performance to identify conditions that support appropriate process representation and scalability.
Performing advanced analytics on historical and experimental process and spent-media datasets to identify actionable insights.
Developing and applying mechanistic, data-driven, or hybrid models to explain and predict process outcomes such as end-of-run titer and cell-specific productivity.
Designing experiments informed by model outputs, process knowledge, and statistical design principles.
Analyzing, visualizing, interpreting, and presenting experimental results using analytical and statistical techniques.
Participating in technical discussions, design of experiments, and problem-solving activities to address knowledge gaps.
Collaborating with internal and external partners and actively participating in recurring project meetings.
Maintaining laboratory notebooks, technical reports, datasets, and other documentation in accordance with established guidelines.
Providing additional laboratory, analytical, and project support as needed.