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Phd Statistics Internship Jobs in Roxbury, MA (NOW HIRING)

PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.) * A strong understanding ... Relevant industry experience via internship and co-op (AI, Drug Discovery, etc.) #LI-Onsite ...

PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.) * A strong understanding ... Relevant industry experience via internship and co-op (AI, Drug Discovery, etc.) #LI-Onsite ...

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Phd Statistics Internship information

See Roxbury, MA salary details

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How much do phd statistics internship jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for phd statistics internship in Roxbury, MA is $18.78, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.87 per hour, depending on experience, location, and employer.

What is a PhD statistics internship?

A PhD Statistics Internship is a temporary, research-focused position designed for doctoral students specializing in statistics or related fields. Interns work on data analysis, machine learning, or statistical modeling projects, often collaborating with researchers and industry professionals. These internships provide hands-on experience applying statistical methods to real-world problems, enhancing both technical and analytical skills. They can be in academia, government, or industry settings, such as technology, healthcare, or finance.

What types of projects or research topics do PhD statistics interns typically work on during their internship?

PhD Statistics Interns are often assigned to projects that involve analyzing large datasets, developing or improving statistical models, and providing insights for data-driven decision-making. These projects can span a range of industries, including healthcare, finance, technology, or public policy, and may address real-world problems such as predictive modeling, experimental design, or survey analysis. Interns typically work closely with senior statisticians and cross-functional teams, allowing for hands-on experience and professional mentoring. The variety of projects helps interns build practical skills and expand their expertise, often contributing to publishable research or product development.

What are the key skills and qualifications needed to thrive in the PhD statistics internship position, and why are they important?

To thrive as a PhD Statistics Intern, you need advanced training in statistical theory, data analysis, and research methodology, typically evidenced by ongoing doctoral studies in statistics or a related field. Familiarity with statistical software such as R, Python, SAS, or MATLAB, and experience with data visualization and database management platforms, are important technical assets. Strong analytical thinking, attention to detail, effective communication skills, and the ability to collaborate within multidisciplinary teams are important soft skills. These competencies are essential for effectively analyzing complex data, generating insights, and contributing to impactful research projects in a professional setting.

What are popular job titles related to Phd Statistics Internship jobs in Roxbury, MA?

For Phd Statistics Internship jobs in Roxbury, MA, the most frequently searched job titles are:

What cities near Roxbury, MA are hiring for Phd Statistics Internship jobs?

Cities near Roxbury, MA with the most Phd Statistics Internship job openings:

Infographic showing various Phd Statistics Internship job openings in Roxbury, MA as of August 2026, with employment types broken down into 8% Internship, 59% Full Time, 29% Part Time, 1% Temporary, and 3% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $39,063 per year, or $18.8 per hour.

AI Research Scientist I

1910

Boston, MA

Full-time

Re-posted 28 days ago


Job description

Company Overview

We are the only AI-native biotech, pioneering small and large molecule therapeutics discovery by integrating massive multimodal data, frontier AI models, and high-throughput lab automation into an infrastructure for AI-enabled drug discovery.

We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers, operators, innovators, drug developers, business professionals, and technologists.

Join us to build the world's first AI infrastructure for tech-enabled drug discovery and to deliver a pipeline of diverse drug modalities for all major disease areas.

As an AI Research Scientist I at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods, and contributing to our active drug design campaigns by applying 1910's productionized AI/ML models.

Role Description

  • Propose and prototype AI and Machine Learning solutions that address use cases in 1910's design pipeline 
  • Apply productized AI and Machine Learning models to advance 1910's active drug design campaigns with the support of senior members of the AI Research Team
  • Write and publish peer reviewed scientific articles with the support of senior members of the AI Research Team
  • Periodically presenting recent AI research at internal journal clubs 
  • Learn how a molecule processes through the drug discovery process
  • Work cross-functionally with scientific colleagues, being a subject matter expert in how AI and Machine Learning can be used to answer cheminformatics and bioinformatics questions
  • Keep up-to-date on cutting-edge research in the AI for drug discovery space 

Qualifications

  • PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.)
  • A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.) 
  • Experience training and deploying cutting edge deep learning methods (Transformers, Graph Neural Networks, etc.) 
  • Demonstrated experience writing clean, maintainable, production-quality Python code, with examples available in code repositories.
  • Familiarity with MLOps and DevOps best practices 
  • Exposure to distributed computing (Microsoft Azure, HPC Cluster, etc.) 
  • Ability to work effectively in a fast-paced startup environment with evolving projects and shifting priorities driven by business needs
  • Excellent written and verbal communication skills, including the ability to create clear documentation for roadmaps, proposals, and related materials

Nice to Haves

  • An understanding of how a molecule progresses through the drug discovery process
  • Relevant industry experience via internship and co-op (AI, Drug Discovery, etc.)

#LI-Onsite

Diversity and Inclusion (1910's Promise)

At 1910, we believe that a diverse, equitable, and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. 1910 is proud to be an equal-opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While 1910 supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.

Benefits and Perks

  • Competitive compensation package
  • Above market benefits
  • Generous vacation and parental leave
  • Super cool team building activities
  • Great colleagues