Intern, Biometrics

Moderna Therapeutics

Cambridge (MA)

On-site

USD 28,000 - 83,000

Full time

2 days ago
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Benefits offered by this job

Free premium meditation/mindfulness
Subsidized commuter benefits
Generous paid time off
Location-specific perks

Job summary

Moderna invites students to join the Statistical Innovation & Data Analytics (SiDA) team for a full-time summer internship in Cambridge, MA from June 7, 2027 to August 20, 2027. You will work on AI/ML, agentic AI, and data analytics across clinical development, with emphasis on governance, traceability, and production-ready pipelines.

The role offers exposure to translating AI tech into practical, scalable solutions for statisticians, data scientists, and clinical teams, and requires

Qualifications

  • Master, doctoral or advanced undergraduate Student in statistics, biostatistics, computational biology, health informatics, data science or computer science related quantitative disciplines
  • Excellent statistical knowledge with strong quantitative skills applicable to scientific and clinical problems
  • Experience in coding in Python (required) and R (preferred); familiarity with cloud computing platforms, containerization, backend development, and SQL
  • Experience or interest in GenAI/LLMs, machine learning, agentic systems, model post-training, or AI application development
  • Familiarity with cloud computing, containerization, APIs/backend development, RAG, model evaluation, or AI deployment is a plus
  • Experience developing data visualizations, dashboards, or reusable computational tools is preferred
  • Interest in building practical, reliable, scalable AI solutions for clinical or biomedical research
  • Strong analytical thinking, engineering mindset, curiosity, and communication skills
  • Ability to learn quickly, work across disciplines, and translate AI technologies into practical solutions

Responsibilities

  • Develop and evaluate AI/ML and agentic solutions for clinical data analysis, statistical programming, and workflow automation
  • Explore LLM post-training, adaptation, and evaluation approaches for statistical and clinical research
  • Design agentic workflows with human oversight, traceability, and reproducibility for regulated environments
  • Build scalable AI pipelines that integrate clinical, statistical, and translational datasets
  • Develop interactive data visualizations, dashboards, and analytical applications
  • Collaborate with statisticians, data scientists, and researchers to translate needs into solutions
  • Explore opportunities to automate and augment the clinical data lifecycle (processing, QC, reporting)
  • Contribute to documentation, evaluation, validation considerations, and reusable AI capabilities

Skills

Statistical knowledge
Python
R
Cloud computing
Containerization
SQL
GenAI/LLMs
AI/ML development
Communication skills

Education

Statistics/biostatistics/CS degree student

Tools

Python
R
SQL
Cloud platforms
Containerization

Job description

The Role

This is a full-time summer internship based in Cambridge, MA from June 7, 2027 - August 20, 2027. Candidates must be available for the entire duration of the program. The Statistical Innovation & Data Analytics (SiDA) team is advancing AI-enabled statistical and clinical data solutions to accelerate data-driven decision-making, improve operational efficiency, and strengthen regulatory readiness across clinical development programs. This role provides hands-on experience at the intersection of statistics, clinical data science, and AI engineering, with opportunities to work on:



  • Clinical and statistical data analytics, including EDC, SDTM, ADaM, and translational data AI/ML research and applied statistical modeling for clinical development use cases

  • LLM and agentic AI development, including domain-specific agents, tool integration, retrieval, and workflow orchestration

  • Local and domain-specific model post-training, evaluation, and optimization for statistical and clinical applications

  • AI-assisted statistical programming and analytics, exploring opportunities to automate and augment existing biometrics workflows

  • Scalable and governed AI solutions, transitioning promising prototypes toward production-oriented applications that meet clinical data, security, quality, and compliance requirements


The student will contribute to the design, development, evaluation, and implementation of AI-enabled capabilities that support statisticians, statistical programmers, data scientists, and clinical development teams. The role is particularly suited for students interested in going beyond general-purpose AI experimentation to understand how AI can be tailored, evaluated, and operationalized for statistical and clinical research workflows, with the goal of reducing repetitive work, accelerating time to insight, and enabling more agile use of clinical data.


Here’s What You’ll Do


  • Develop and evaluate AI/ML and agentic solutions for clinical data analysis, statistical programming, and workflow automation, including tool‑calling, RAG, and skill-based agent architectures

  • Explore LLM post-training, adaptation, and evaluation approaches to improve model performance for statistical and clinical research use cases

  • Design agentic workflows with appropriate human oversight, traceability, and reproducibility for use in regulated clinical development environments

  • Build scalable and modular AI pipelines that integrate clinical, statistical, and translational datasets

  • Develop interactive data visualizations, dashboards, and analytical applications to accelerate clinical insights and decision‑making

  • Collaborate with statisticians, statistical programmers, data scientists, and scientists to translate clinical and business needs into practical technical solutions

  • Explore opportunities to automate and augment the clinical data lifecycle, including data processing, analysis, QC, interpretation, and reporting

  • Contribute to documentation, evaluation, validation considerations, and reusable AI capabilities that can scale across studies and programs


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


  • Master, doctoral or advanced undergraduate Student in statistics, biostatistics, computational biology, health informatics, data science or computer science related quantitative disciplines

  • Excellent statistical knowledge and quantitative skills with the ability to apply the knowledge to solve scientific and clinical problems

  • Experience in coding in Python (required) and R (preferred); demonstrated ability in cloud computing platforms, containerization, backend development, and SQL

  • Experience or demonstrated interest in GenAI/LLMs, machine learning, agentic systems, model post-training, or AI application development

  • Familiarity with one or more of the following is a plus: cloud computing, containerization, APIs/backend development, RAG, model evaluation, or AI deployment

  • Experience developing data visualizations, analytical applications, dashboards, or reusable computational tools is preferred

  • Interest in building practical, reliable, and scalable AI solutions for clinical or biomedical research

  • Strong analytical thinking, engineering mindset, curiosity, and written and verbal communication skills

  • Ability to learn quickly, work across disciplines, and translate emerging AI technologies into practical solutions


Our Working Model

As we build our company, we have always believed an in‑person culture is critical to our success. Moderna champions the significant benefits of in-office collaboration by embracing a 70/30 work model. This 70% in-office structure helps to foster a culture rich in innovation, teamwork, and direct mentorship. Join us in shaping a world where every interaction is an opportunity to learn, contribute, and make a meaningful impact. Moderna is a smoke‑free, alcohol‑free, and drug‑free work environment.


Pay & Benefits


  • 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 based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, performance, and business or organizational needs. The successful candidate may be eligible for an annual discretionary bonus, other incentive compensation, or equity award, subject to company plan eligibility criteria and individual performance. The successful candidate may be eligible for an annual discretionary bonus, other incentive compensation, or equity award, subject to company plan eligibility criteria and individual performance.


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.


Equal Opportunities

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 a place where everyone can grow. Moderna is an E-Verify Employer in the United States. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.


Accommodations

We're focused on attracting, retaining, developing, and advancing our employees. By cultivating a workplace that values diverse experiences, backgrounds, and ideas, we create an environment where every employee can 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 contact the Accommodations team at leavesandaccommodations@modernatx.com.


Export Control Notice

This position may involve access to technology or data that is subject to U.S. export control laws, including the Export Administration Regulations (EAR). As such, employment is contingent upon the applicant’s ability to access export-controlled information in accordance with U.S. law. Due to the nature of the work and regulatory requirements, only individuals who qualify as U.S. persons (citizens, permanent residents, asylees, or refugees) are eligible for this position. For this role Moderna is unable to sponsor non-U.S. persons to apply for an export control license.


Our Mission and Vision

At Moderna we are pioneering the development of a new class of drugs made of messenger RNA (mRNA). This novel drug platform builds on the discovery that modified mRNA can direct the body’s cellular machinery to produce nearly any protein of interest, from native proteins to antibodies and other entirely novel protein constructs that can have therapeutic activity inside and outside of cells. We have a clear mission to propel the field of mRNA science forward and deliver new medicines to patients and a unique vision for how to achieve this mission. Our Mission: To deliver on the promise of transformative messenger RNA (mRNA) science to bring new medicines to patients. Our Vision: To unlock the potential of mRNA by establishing an ecosystem of teams and partners that will work together to develop the broadest possible array of drugs, across diverse therapeutic areas and routes of administration, for serious diseases that are not treatable today.


Third Party Staffing Agencies

Moderna does not accept unsolicited resumes from any source other than directly from candidates. For the protection of all parties involved in the recruiting process, resumes will only be accepted from recruiters/agencies if a signed agreement is in place at the inception of the recruiting effort and authorized for a specified position. Unsolicited resumes sent to Moderna from recruiters/agencies do not constitute any type of relationship between the recruiter/agency and Moderna and do not obligate Moderna to pay fees if we hire from those resumes.


Reasonable Accommodation Notice

Moderna will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. Please inform the company's personnel representative by calling 617-460-9346 or emailing humanresources@modernatx.com if you need assistance completing any forms or to otherwise participate in the application process. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternative format, using a sign language interpreter, or using specialized equipment.

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