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Post Doctoral Researcher Jobs (NOW HIRING)

Emory University

Post Doctoral Researcher

Atlanta, GA · On-site

$60 - $80/hr

Description Postdoctoral research fellow - Human movement disorders electrophysiology and neural engineering We are seeking a postdoctoral researcher at the intersection of neuroscience, machine ...

Emory University

Post Doctoral Researcher

Atlanta, GA · On-site

$112K/yr

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can ...

Neura Market

$90 - $130/hr

We are hiring a Post-Doctoral Researcher for our AI Research team. This 24 month fixed-term position is designed for recent PhD graduates looking to deepen their research experience on challenging ...

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Palmer College of Chiropractic

$110K/yr

Post-doctoral Research Scholars train under the direction and supervision of faculty mentors in preparation for academic or research careers. The position emphasizes scholarship and research training ...

Ohio State University

$46K - $63K/yr

The Post Doctoral Researcher will pursue specialized research training, education and experience under the guidance of a scientific mentor in the Department of Neurology; plan, design and execute ...

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How much do post doctoral researcher jobs pay per year?

As of Sep 4, 2026, the average yearly pay for post doctoral researcher in the United States is $113,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is a post doctoral researcher?

A Post Doctoral Researcher, often referred to as a postdoc, is a person who has completed their doctoral studies (PhD or equivalent) and is engaged in further academic research, usually on a temporary contract. Postdocs work under the supervision of senior researchers or principal investigators to deepen their expertise, contribute new knowledge to their field, and publish their findings. This role is often seen as a stepping stone to securing a permanent academic or research position. Postdoctoral positions can vary in focus, duration, and responsibilities depending on the field and institution.

What are the key skills and qualifications needed to thrive as a post doctoral researcher?

To thrive as a Post Doctoral Researcher, you need advanced research skills, subject matter expertise, and a doctoral degree in your field. Proficiency with data analysis software, scientific databases, laboratory equipment, or other discipline-specific tools is typically expected. Strong written and verbal communication, critical thinking, and project management skills help you stand out in collaborative research environments. These abilities drive innovation, ensure rigorous and impactful research, and support successful dissemination of findings.

What are some common challenges faced by post doctoral researchers, and how can they be navigated?

Post Doctoral Researchers often encounter challenges such as balancing independent research with collaborative projects, securing funding, and managing the pressure to publish. Navigating these challenges typically involves developing strong time management skills, seeking mentorship from senior researchers, and actively networking within the academic community. Additionally, being proactive in applying for grants and fellowships can help mitigate funding concerns, while clear communication with principal investigators and team members fosters effective collaboration.

What is the difference between Post Doctoral Researcher vs Research Scientist?

AspectPost Doctoral ResearcherResearch Scientist
Required CredentialsDoctoral degree (Ph.D.)Master's or Ph.D., often with additional experience
Work EnvironmentAcademic labs, universities, research institutionsIndustry labs, corporate R&D, research organizations
Employer & Industry UsagePrimarily academia and research institutionsPrimarily private sector and industry
Common Search & Comparison IntentUnderstanding academic research rolesIndustry research roles and career progression

Post Doctoral Researchers typically hold a Ph.D. and work mainly in academic or research institutions, focusing on specialized research projects. Research Scientists often have similar credentials but are employed in industry settings, applying research to product development or innovation. The key difference lies in the work environment and employer type, with Post Doctoral Researchers more associated with academia and Research Scientists with industry.

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What states have the most Post Doctoral Researcher jobs?

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What job categories do people searching Post Doctoral Researcher jobs look for?

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Post Doctoral Researcher jobs near you
Infographic showing various Post Doctoral Researcher job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $113,746 per year, or $54.7 per hour.

Post-Doctoral AI Researcher (2 year Fixed-Term)

Snowflake

Bellevue, WA • On-site

$160K - $220K/yr

Full-time

Re-posted 24 days ago

Job description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
We are hiring a Post-Doctoral Researcher for our AI Research team. This 24 month fixed-term position is designed for recent PhD graduates looking to deepen their research experience on challenging problems at the frontier of AI - specifically, applying machine learning to high-impact real-world domains like medicine, finance, and law.
You'll collaborate closely with Snowflake researchers, scientists, and engineers on fundamental and applied problems, publishing high-quality work while helping shape how AI integrates with the world's most consequential industries.
AS A POST-DOCTORAL RESEARCHER AT SNOWFLAKE, YOU WILL:
  • Collaborate with research mentors to formulate research projects or novel applications of machine learning aligned with the team's mission, with a focus on AI applied to medicine, finance, or law
  • Conduct independent and collaborative research and publish high-quality work at top AI and domain-applied research venues
  • Design and execute large-scale experiments using modern deep learning frameworks, writing high-quality, reusable code
  • Develop models and systems that bridge AI capabilities with real-world application requirements in high-stakes, regulated domains
  • Engage across teams - including with domain experts and applied engineering - to ground research in practical constraints and real-world impact
  • Contribute to the broader research community through publications, open-source releases, and collaboration with academic and industry partners

OUR IDEAL POST-DOCTORAL RESEARCHER WILL HAVE:
  • PhD (or expected completion by start date) in Computer Science, Statistics, Mathematics, or a related STEM field, or equivalent practical experience
  • Research experience in machine learning or AI techniques (e.g., open-source projects, campus lab experience, research internships, or publications)
  • Proficiency in Python and experience training deep learning models using PyTorch, JAX, TensorFlow, or equivalent frameworks
  • One or more scientific publication submissions in top AI or applied domain research venues (e.g., NeurIPS, ICML, ICLR, AAAI, ACL - or equivalent high-quality venues in medicine, finance, or law)
  • Ability to work independently and collaborate effectively across research teams and domain experts

BONUS POINTS FOR THE FOLLOWING:
  • Research background at the intersection of AI and one or more of: medicine (clinical NLP, medical imaging, drug discovery), finance (quantitative modeling, risk, forecasting, market analysis), or law (legal NLP, contract analysis, reasoning, compliance)
  • Experience designing, fine-tuning, or evaluating LLMs or foundation models in applied domain settings
  • Familiarity with evaluation challenges in high-stakes AI - fairness, explainability, robustness, or regulatory constraints
  • Publications at domain-applied AI venues (e.g., CHIL, ML4H, FinNLP, NLLP)
  • Experience with retrieval-augmented generation (RAG), knowledge graphs, or structured reasoning over domain-specific data

Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Apply