D. E. Shaw

TDS Proteins CEAS Automation Co-Op

PA
  • On-site
  • Full-time

Listing details

  • Closes Nov 8
  • Posted Oct 9
  • Last verified Oct 9

About the job

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. As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual.

At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function: Career Programs Job Sub Function: Non-LDP Intern/Co-Op Job Category: Career Program All Job Posting Locations: Spring House, Pennsylvania, United States of America Job Description: About Innovative Medicine Our 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 Proteins CEAS Automation Co-Op to be in Spring House, PA. 1 vacancy is currently available. The Co-op term is six months typically from January to June, 2027 (flexible).

Full time requirement (40 hours per week) Fully On-site. Purpose: The TDS Proteins Development Cell Engineering, Analytics & Screening (CEAS) organization is seeking a highly motivated Co-Op to support the development and expansion of laboratory automation capabilities for Large Molecule biotherapeutic development. In this role, the Co-Op will work at the intersection of software development, laboratory automation, and scientific research to support the transformation of existing automation scheduling platforms into modular and deployable systems.

The position provides hands-on experience in Python development, full-stack automation software, device integration, robotics, and automated laboratory workflows while collaborating with scientific and engineering teams. You will be responsible: Collaborating with the physical automation and software teams to transform existing scheduling platforms into modular, deployable systems adaptable to different laboratory workcell configurations. Characterizing laboratory workcells, including device configurations, integration needs, and workflow requirements.

Developing, configuring, testing, and validating software modules that enable integration between laboratory instruments and automation systems. Configuring scheduling logic to support different instrument combinations and automated workflows. Testing and verifying end-to-end automated workflows to support reliable system performance.

Supporting the architecture and development of modular automation software solutions. Applying Python programming skills to support software development, automation, system integration, and troubleshooting activities. Gaining hands-on experience with full-stack automation software while contributing to additional laboratory automation opportunities.

Analyzing and interpreting technical and experimental results using analytical and statistical approaches. Participating in technical discussions, experimental design, and problem-solving activities. Collaborating with internal and external partners and actively participating in project meetings.

Maintaining accurate technical documentation and project records in accordance with established guidelines. Providing additional software, automation, 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 Computer Science, Bioinformatics, Biological Engineering, Biomedical Engineering, Mechanical Engineering, Electrical/Electronics Engineering, Biology, Analytical Chemistry, Biochemistry, Molecular Biology, Microbiology, Pharmaceutical Sciences, Related scientific or engineering disciplines. Have a cumulative GPA of 3.0 or higher, which is reflective of all college coursework.

You must not have any Summer Internship contract or other employment commitment that could interfere with the contract dates specified for this position. Programming experience with Python is required. Strong analytical, quantitative, and problem-solving skills.

Ability to learn and work with software systems supporting laboratory automation and scientific workflows. Ability to balance multiple projects and priorities while delivering results. Ability to work independently as a self-starter while collaborating effectively within multidisciplinary teams.

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: Software Development & Technical Tools: Familiarity with web development frameworks such as FastAPI, Flask, or similar frameworks. Knowledge of SQL and relational database concepts is a plus.

Experience with version control systems such as Git and collaborat