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Intern Meta Analysis Jobs (NOW HIRING)

Goodwill Industries

Digital Marketing Intern

Wichita, KS · On-site

$12.47 - $18.70/hr

Familiarity with Meta Business Suite or other scheduling tools. * Understanding ofnonprofit ... Digital analytics awareness * Collaboration across departments Essential Functions * Create and ...

HIGHSCALE

Growth Marketing Intern

Los Angeles, CA · On-site

$16.25 - $21.50/hr

Live in the Meta Ad Library and TikTok Creative Center. You will stalk our competitors to see what ... Who You Are 1. The "Chronically Online" Analyst * You are a junior, senior, or recent graduate ...

NP On Call MD

Marketing Intern

Baltimore, MD · On-site

$15/hr

Monitor and update local citations and directory listings Analytics & Reporting (10%) * Pull weekly ... Familiarity with social scheduling tools (Later, Metricool, Meta Business Suite) * Basic photo ...

NP On Call MD

Marketing Intern

Baltimore, MD · On-site

$15/hr

Monitor and update local citations and directory listings Analytics & Reporting (10%) * Pull weekly ... Familiarity with social scheduling tools (Later, Metricool, Meta Business Suite) * Basic photo ...

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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.

Member of Technical Staff - Research Intern

Palo Alto, CA • On-site

Architect Labs
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Other

Re-posted 15 days ago

Job description

About Architect

Architect is an AI research and product lab for chip design. We build AI models and systems that can explore, design, optimize, and verify new hardware. Our goal is to reimagine chip design using AI, cut down ASIC design time and cost, and enable a new era of ultra‑efficient, domain‑specific chips powering the future of computation.

Born out of Stanford, our team blends researchers and engineers from Anthropic, DeepMind, Meta, Apple, Intel, and other frontier labs. Backed by leading VCs and angels, including the Chief Scientist at Google, Stanford professors, and founders of chip companies, Architect operates in stealth, pushing the limits of AI4EDA and building the intelligence layer for the hardware revolution.

What You’ll Do

As a Research Intern at Architect, you will spend 3 months working alongside the founding team to push the boundaries of how AI models explore and optimize hardware designs. This is a high‑impact role where your experiments will directly influence our core modeling roadmap.

  • Responsible for co‑designing and implementing the Reinforcement Learning experiments (GRPO/PPO/DPO), training data mixes and reward signal explorations.
  • Contribute to research on post‑training techniques, running ablation studies to improve model reasoning and alignment capabilities.
  • Implement and test new algorithms for model fine‑tuning and evaluation, helping to translate research papers into working prototypes.
  • Analyze experimental results and debug model behavior to help establish best practices for our training recipes.
What We’d Like to See

Qualifications & Skills:

  • Education: Currently pursuing a PhD or Master’s degree in Computer Science, Machine Learning, Mathematics, or a related field. Exceptional undergraduates with strong research experience are also encouraged to apply.
  • RL Knowledge: Strong academic understanding or project experience with Reinforcement Learning (e.g., PPO, DPO, GRPO). You should be comfortable reading and implementing concepts from recent research papers.
  • Coding Proficiency: Strong proficiency in Python and deep learning frameworks (PyTorch). You should be able to write clean, efficient research code.
  • Research Mindset: A fast learner who is comfortable navigating ambiguity. You enjoy analyzing complex problems and iterating quickly on experiments.
  • LLM Familiarity: Experience with training or fine‑tuning Large Language Models (LLMs) or familiarity with the modern NLP stack (Transformers, HuggingFace, etc.).
Bonus:
  • Previous internship experience at frontier AI labs or research organizations.
  • Publications (or submissions) in top ML venues (NeurIPS, ICLR, ICML) or EDA venues (DAC, ICCAD).
  • Familiarity with hardware design concepts (Verilog, RTL, EDA tools), though not required.
What We Offer
  • Competitive internship stipend
  • Mentorship from a team of researchers and engineers from Anthropic, DeepMind, Meta, and Stanford
  • Opportunity to work on 0 to 1 problems in AI‑driven chip design
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