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Intern Meta Analysis Jobs (NOW HIRING)

Meta

Research Scientist Intern, AI Alignment

Seattle, WA · On-site

$7.6K - $12K/mo

Meta is committed to advancing the field of artificial intelligence by making fundamental advances ... Analyze and improve various aspects of the corresponding algorithms and systems, including ...

Meta

Research Scientist Intern, AI Alignment

New York, NY · On-site

$7.6K - $12K/mo

Meta is committed to advancing the field of artificial intelligence by making fundamental advances ... Analyze and improve various aspects of the corresponding algorithms and systems, including ...

Meta

Research Scientist Intern, AI Alignment

Boston, MA · On-site

$7.6K - $12K/mo

Meta is committed to advancing the field of artificial intelligence by making fundamental advances ... Analyze and improve various aspects of the corresponding algorithms and systems, including ...

Costello Medical

Statistician Intern

Boston, MA · On-site

$54K - $66K/yr

Our work involves a range of techniques such as basic statistical analysis of individual patient data, regression analysis, survival analysis and Bayesian network meta-analysis using both standard ...

Costello Medical

Statistician Intern

Boston, MA · On-site

$54K - $66K/yr

Our work involves a range of techniques such as basic statistical analysis of individual patient data, regression analysis, survival analysis and Bayesian network meta-analysis using both standard ...

Costello Medical

Statistician Intern

Boston, MA · On-site +1

$54K - $66K/yr

Our work involves a range of techniques such as basic statistical analysis of individual patient data, regression analysis, survival analysis and Bayesian network meta-analysis using both standard ...

HeyGen

Growth Marketing Intern

Los Angeles, CA

$16.25 - $21.50/hr

You'll work across Google, Meta, YouTube, Apple Search Ads, and emerging channels - we are ... If you love the combination of analytical rigor and creative experimentation that defines great ...

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Intern Meta Analysis information

What is an intern meta analysis?

Intern Meta Analysis positions are internships that involve assisting in the process of systematically reviewing and statistically analyzing data from multiple studies to draw broader conclusions. Interns in this role typically help gather and organize research studies, extract relevant data, and perform statistical analyses under supervision. This position is ideal for students or early-career professionals interested in research, data analysis, or evidence-based practice, often within academic, healthcare, or policy settings. Interns gain valuable experience in research methodology, critical appraisal, and advanced data analysis techniques.

What types of projects does an intern meta analysis typically work on, and how do these projects contribute to larger research goals?

Interns specializing in meta analysis often assist with synthesizing data from multiple studies, conducting literature reviews, and applying statistical techniques to aggregate findings. These projects are usually collaborative and may involve working closely with senior researchers, data analysts, and subject matter experts to ensure methodological rigor. By contributing to comprehensive evidence-based conclusions, interns help shape recommendations that drive future research directions or inform policy decisions. This exposure provides valuable experience in advanced research methods and enhances skills in critical analysis and data interpretation.

What are the key skills and qualifications needed to thrive as an intern meta analysis, and why are they important?

To thrive as an Intern in Meta-Analysis, you need a solid background in statistics, research methodology, and data analysis, often supported by coursework in psychology, public health, or related fields. Familiarity with statistical software such as R, SPSS, or Stata and experience with systematic review tools like Covidence or RevMan are typically required. Strong attention to detail, critical thinking, and effective communication skills help you synthesize complex information and collaborate with research teams. These skills ensure that meta-analyses are accurate, reliable, and useful for evidence-based decision making.

What is the difference between Intern Meta Analysis vs Data Analyst?

AspectIntern Meta AnalysisData Analyst
Required CredentialsTypically pursuing or recent graduate in statistics, research, or related fieldBachelor's degree in statistics, data science, or related field
Work EnvironmentResearch-focused, often in academic or corporate research settingsBusiness or organizational settings, analyzing data for decision-making
Employer & Industry UsageResearch institutions, universities, market research firmsCorporations, finance, healthcare, marketing
Search & Comparison IntentUnderstanding entry-level research roles in meta analysisComparing entry-level data analysis roles

Intern Meta Analysis roles focus on assisting with research synthesis and statistical reviews, often requiring a background in research methods or statistics. Data Analysts perform broader data interpretation and reporting tasks across various industries. While both roles involve data handling, Intern Meta Analysis is more research-oriented, whereas Data Analysts focus on business insights and decision support.

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Intern Meta Analysis jobs near you
Infographic showing various Intern Meta Analysis job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Research Scientist Intern, AI, Cyber Security, Safety -- MSL Trust & Safety (PhD)

Menlo Park, CA • On-site

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$7.6K - $12K/mo

Full-time, Internship

Posted 23 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

Meta Superintelligence Labs (MSL) is committed to advancing AI in a safe, responsible, and scalable way. The PAR Trust & Safety team sits at the heart of this mission: we ensure the safety of billions of users across Meta's products and services by developing and deploying robust safety mitigations that unblock our most ambitious AI capabilities. We work on safety risk mitigation to directly enable launches of top-priority frontier models and the products built on them (e.g., Meta AI), and we develop solutions with real users in mind — monitoring after deployment, iterating, and evolving our strategy as new AI capabilities and risks emerge.As a Research Scientist Intern on the PAR Trust & Safety team, you will pioneer new AI security techniques and paradigms for superintelligent AI, working hands-on across the full research lifecycle. Our internships are twelve (12) to twenty-four (24) weeks long.What You'll GainHands-on experience with Meta's frontier AI models and infrastructure at scaleMentorship from leading researchers in AI cybersecurityOpportunity to publish at top-tier venuesImpact on the safety of AI systems used by billions of people
Research Scientist Intern, AI, Cyber Security, Safety — MSL Trust & Safety (PhD) Responsibilities:
  • AI model’s defensive cyber capabilities: Leveraging frontier AI models (LLMs, agents) for automation.
  • AI for Cyber: Leveraging frontier AI models and agents to improve cyber capabilities, such as vulnerability detection and patching.
  • Evaluation: Develop systematic methodologies to probe frontier models’ cyber capabilities.

Minimum Qualifications:
  • Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Machine Learning, Statistics, or a related technical field
  • Strong publication record in one or more of: AI safety, ML security, NLP, cybersecurity (top venues: NeurIPS, ICML, ICLR, ACL, EMNLP, IEEE S&P, USENIX Security, CCS, NDSS)
  • Experience working with large language models (training, fine-tuning, or evaluation)
  • Experience in cybersecurity, AI safety, trust & safety, integrity, red-teaming, or responsible AI
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Experience with large language models, multimodal models, or agentic systems
  • Experience with deep learning frameworks such as PyTorch
  • Demonstrated ability to work independently and to drive a research project from concept to results
  • Intent to return to a degree program after completion of the internship

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,667/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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