Co-Op, Immuno-Oncology Research

Position: 2026 Co-Op, Immuno-Oncology Research
## 2026 Co-Op, Immuno-Oncology Research Apply locations:
Cambridge, Massachusetts:
Research time type:
Full time posted on:
Posted Yesterday job requisition :
R18946
** The Role
** Oncology Research at Moderna is seeking a talented and motivated co-op to join our efforts in developing new mRNA-based drugs for cancer therapy.  The Co-op will use molecular biology and immunology techniques to characterize Moderna’s mRNA products, their activity, and/or relevant biomarkers in vitro and in vivo to support early preclinical research, IND-enabling studies, and/or translational research.  The Co-op will work on an individual project that is important to Moderna Oncology’s mission with support from an experienced mentor who will provide guidance on projects and career.

Our Fall co-op program is from July 13 – December 11, 2026**.
** All applicants must be available for the entire duration of the program.
** Here’s What You’ll Do
*** Receive training in lab research techniques and learn how to design, execute studies, and perform data analysis
* Gain knowledge of preclinical cancer models and toxicology models
* Perform and/or support experiments and assays such as immune cell isolation, cell culture, flow cytometry, cell-based functional and reporter assays, sample processing and analysis for pharmacokinetic and pharmacodynamic studies
* Use Moderna’s mRNA products to demonstrate expression and characterize activity of the immuno-oncology therapeutic proteins of interest in relevant in vitro and/or in vivo experimental systems
* Maintain an organized work area and electronic lab notebook
* Analyze experimental data and present your work at group and team meetings
** Here’s What You’ll Need (Basic Qualifications)
*** Biology, immunology, biochemistry, bioengineering, and related majors are encouraged to apply.
* Previous co-op experience a plus
* Technical experience in the following areas is preferred: mammalian tissue culture, cell transfection, cell based-assay development and troubleshooting
* Prior experience with flow cytometry and data analysis with relevant software is a plus
* The candidate should be self-motivated and possess the desire to drive a project to completion. The co-op must be flexible and can work in a fast-paced, team-oriented environment.
* This position is site-based, requiring you to be at Moderna’s site full-time. This position is not eligible for remote work.
* At Moderna, we are focused on delivering on our mission by enabling talent to thrive. For this role, we are currently unable to offer immigration sponsorship. Candidates must already hold work authorization in US and be able to maintain that status without the need for future sponsorship.
** Here’s

What You’ll Bring to the Table (Preferred Qualifications)
*** GPA of 3.5 on a 4 scale or equivalent
* Demonstrated ability to work both independently as well as the ability to contribute to high performing teams.
* Excellent written and verbal communication skills.
* A desire to make an impact as part of a high-growth, transformational company that is Bold, Relentless, Curious, and Collaborative.

Moderna provides employees with a comprehensive and innovative suite of benefits, including:
* Paid time off, including:

• Vacation, sick time, and observed Company-wide holidays
* Free premium access to fitness, nutrition, and mindfulness classes
* Free parking, subsidized parking, or subsidized commuter passes, depending on location.
* Location-specific perks and extras!
** Pay & Benefits
**** At Moderna, we believe that when you feel your best, you can do your best work.  That’s why our co-op benefits are designed to support you during your time with us —at work, at home, and everywhere in between.
*** Free premium access to meditation and mindfulness classes
* Subsidized commuter benefits
* Generous paid time off, including vacation, sick time, holidays, volunteer days, and a discretionary year-end shutdown
* Location-specific perks and extras

The salary range for this role is $20.00 - $60.00. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An individual’s position within the salary range will be…