The Role

Moderna is seeking a talented and motivated intern with a background in applying probabilistic and machine learning methods to problems in research and development to join our Data Science and Artificial Intelligence team for the first half of 2024. As part of our mission to “Build The Digital Biotech Company ”, we see a central role for DSAI in accelerating the science and engineering at the heart of our innovative culture. As an intern within the DSAI team, this role will be responsible for developing training machine learning models with applications in automated analysis of chromatography data, with a long-term impact on Moderna’s biological and chemical technology processes. They will be accountable for delivering clean code, deployed models on our internal computational infrastructure, user-friendly documentation, and presentations on their project. We are looking for someone who is detail-oriented, deeply curious, exhibits an excellent work ethic, and is eager to expand their existing machine learning skillsets with cutting-edge methods while applying them to impactful scientific questions.

Our Winter/Spring co-op program will run from January 16 – June 14, 2024. All applicants must be available to work full-time for the entire duration of the program.

Here’s What You’ll Do

• Develop probabilistic and deep learning models as applied to analytical chemistry and chromatography.

• Deliver documented and unit-tested code, visualizations, in-depth user-facing documentation, and stakeholder-facing written and oral presentations on the chosen project.

• Keep abreast of, and where appropriate, apply recent advances in machine learning and optimization. Analyze and critically evaluate results and adapt existing methods or propose new methods accordingly.

• Collaborate with data scientists inside DSAI primarily and with research scientists and engineers across Moderna.

• Additional duties as may be assigned from time to time

Here’s What You’ll Need ( Basic Qualifications)

• Current M.Sc. or Ph.D. student.

• Prior experience in building and training convolutional neural networks in PyTorch and/or JAX (Equinox).

• Prior classroom and/or laboratory experience with chromatography.

• Prior experience with scalable, distributed machine learning model training on millions of samples.

• Excellent communication skills (verbal, written, and virtual/remote).

• Fluency in Python, especially the scientific Python stack (Jupyter/Pandas/scikit-learn/PyTorch)

• Willing and able to relocate to Cambridge, MA for the co-op

• Indefinite right to work in the United States without the need for sponsorship now or in the future.

Here’s What You’ll Bring to the Table (Preferred Qualifications)

• Basic software skills (documentation, testing, and code organization)

• Experience with non-MLP neural network architectures (RNN, Transformers, GNNs)

• Experience in generating synthetic data from probabilistic models

• Prior experience with version control systems (Git)

• Prior experience with AWS

• Prior experience using PyTorch Lightning

• Motivated to solve scientific problems in healthcare.

• A desire to make an impact as part of a high-growth, transformational company that is Bold, Relentless, Curious, and Collaborative.

Moderna is pleased to provide you with an innovative suite of benefits, including:

• Free premium access to meditation and mindfulness classes
• Free parking or subsidized commuter passes
• Generous paid time off, including:
  • Vacation, sick time and holidays
  • Volunteer time to participate within your community
  • Discretionary year-end shutdown
• Location-specific perks and extras!

About Moderna

Since our founding in 2010, we have aspired to build the leading mRNA technology platform, the infrastructure to reimagine how medicines are created and delivered, and a world-class team. We believe in giving our people a platform to change medicine and an opportunity to change the world.

By living our mission, values, and mindsets every day, our people are the driving force behind our scientific progress and our culture. Together, we are creating a culture of belonging and building an organization that cares deeply for our patients, our employees, the environment, and our communities.

We are proud to have been recognized as a Science Magazine Top Biopharma Employer, a Fast Company Best Workplace for Innovators, and a Great Place to Work in the U.S.

If you want to make a difference and join a team that is changing the future of medicine, we invite you to visit modernatx.com/careers to learn more about our current opportunities.

Moderna is a smoke-free, alcohol-free and drug-free work environment.

Moderna is a place where everyone can grow. If you meet the Basic Qualifications for the role and you would be excited to contribute to our mission every day, please apply!

Moderna is proud to be an equal opportunity workplace and is an affirmative action employer.

Moderna is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. Moderna is an E-Verify Employer in the United States. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Belonging, Inclusion, and Diversity are critical to the success of our company and our impact on society. We’re focused on attracting, retaining, developing, and advancing our employees and believe that by cultivating diverse experiences, backgrounds, and ideas, we can provide an environment where every employee is able to contribute their best.

Moderna is committed to offering reasonable accommodations to qualified job applicants with disabilities. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the Talent Acquisition Partner or contact the Accommodations team at leavesandaccommodations@modernatx.com. (EEO/AAP Employer)

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