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2023 Data Science and Artificial Intelligence Co-Op

Company: Moderna
Location: Cambridge
Posted on: March 17, 2023

Job Description:

The Role

The Data Science and Artificial Intelligence (DSAI) Co-op Program is a 6-month experience designed for students studying towards a Bachelor's, Master's, or PhD degree in applying machine learning methods to problems in various business areas, including research, technology development, clinical trial operations, regulatory affairs, medical, and corporate functions. 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. During this co-op you will learn about the biotechnology industry, work under the supervision of an experienced data scientist, and apply your academic knowledge and personal experience to projects focused on aligning business objectives to people's priorities. You will be accountable for delivering clean code and deploying models on our internal computational infrastructure. 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 program starts on July 17, 2023, and ends on Dec 15, 2023. All applicants must be available to work full-time during this time range and must be willing to relocate to Norwood or Cambridge, MA, depending on the business areas they work in.

If you are bold, relentless, collaborative and obsess over learning, this co-op opportunity at Moderna will help augment your experience and accelerate your career. If you are interested in any one of the following fields, here is a list of potential projects you might be working on during this 6-month period:

  • Research - Developing machine learning models with applications in molecular design or sequence engineering.
  • Technology development - Model and analyze large amounts of real-time instrument data, and develop AI-driven methodology to streamline the processing of analytical assays and production methods of all sorts
  • Clinical trial operations - Modeling and optimizing all aspects of clinical trial operations, generating actionable insights impacting trial evolution and patient outcomes.
  • Regulatory Affairs - Developing novel document understanding and information extraction solutions from regulatory documents by leveraging various Natural language processing techniques
  • Medical - Developing statistical, machine learning, and/or deep learning models to solve problem(s) in Health Economics and Outcomes Research (HEOR) and Medical Affairs.
  • Corporate functions -Developing the next generation digital and intellectual corporate administration strategies in legal, finance and human resources with Natural Language Processing, graph models and other machine learning methods.
    Here's What You will Need (Minimum Qualifications)
    • Current B.S., M.S., or Ph.D. students in Computer Science, Applied Math, Engineering or other related quantitative STEM disciplines.
    • Solid understanding of probabilistic models and applied statistics.
    • Fluency in Python, especially the scientific Python stack (Jupyter/Pandas/Scikit-learn/PyTorch).
    • Work experience in Unix/Linux environment.
    • Prior experience with deep learning or machine learning projects.
    • Excellent communication skills (verbal, written, and virtual/remote).
    • Indefinite right to work in the United States without the need for sponsorship now or in the future.
      Here's What You will Bring to the Table (Preferred Qualifications)
      • Familiarity with both the theory and practice of Natural Language Processing/Understanding (SpaCy/NLTK/transformers/word embeddings/etc.).
      • Experience in probability modeling of a real-world system involving the inherent uncertainty
      • Experience in Bayesian statistical modeling (Pyro, PyMC, etc.)
      • Familiarity with large language models and its applications
      • Experience in identifying, procuring, and integrating external data sources.
      • Familiarity with software development processes and git version control.
      • Deliver documented and unit-tested code, visualizations, in-depth user-facing documentation,
        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!

          Candidates should be aware that Moderna currently maintains a policy requiring all US-based employees to be fully vaccinated against COVID-19 and receive a booster shot once eligible. Newly hired employees must be vaccinated and boosted prior to their employment start date. Moderna is an equal opportunity employer and will provide a reasonable accommodation to those unable to be vaccinated or receive a booster where it is not an undue hardship to the company to do so as provided under federal, state, and local law.

          About Moderna

          In over 10 years since its inception, Moderna has transformed from a research-stage company advancing programs in the field of messenger RNA (mRNA), to an enterprise with a diverse clinical portfolio of vaccines and therapeutics across seven modalities, a broad intellectual property portfolio in areas including mRNA and lipid nanoparticle formulation, and an integrated manufacturing plant that allows for rapid clinical and commercial production at scale. Moderna maintains alliances with a broad range of domestic and overseas government and commercial collaborators, which has allowed for the pursuit of both groundbreaking science and rapid scaling of manufacturing. Most recently, Moderna's capabilities have come together to allow the authorized use and approval of one of the earliest and most effective vaccines against the COVID-19 pandemic.

          Moderna's mRNA platform builds on continuous advances in basic and applied mRNA science, delivery technology and manufacturing, and has allowed the development of therapeutics and vaccines for infectious diseases, immuno-oncology, rare diseases, cardiovascular diseases and autoimmune diseases. Moderna has been named a top biopharmaceutical employer by Science for the past seven years. To learn more, visit

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

          Moderna is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation or any characteristic protected under applicable law. Moderna will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.


Keywords: Moderna, Cambridge , 2023 Data Science and Artificial Intelligence Co-Op, Other , Cambridge, Massachusetts

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