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Analytical Phd Jobs (NOW HIRING)

PhD Intern Where multiple locations are listed for this role, the position may be based in any of ... Reward/judge modeling (e.g. error analysis, human evaluation, training judge models) * User intent ...

Analytical Scientist I

Emeryville, CA Β· On-site

$120K - $140K/yr

Hold a PhD in Analytical Chemistry, Molecular Biology, Biochemistry, Pharmaceutical Sciences, with 1+ years of biologics industry experience. Candidates without a PhD but with similar industry ...

A PhD in Analytical Chemistry, Biochemistry, Chemistry, Chemical Biology or a related discipline * 3-5 years of post-PhD experience in analytical/bioanalytical research. Industry experience preferred.

$120K - $140K/yr

Hold a PhD in Analytical Chemistry, Molecular Biology, Biochemistry, Pharmaceutical Sciences, with 1+ years of biologics industry experience. Candidates without a PhD but with similar industry ...

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Showing results 41-60

Analytical Phd information

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$29.5K

$100.7K

$193.5K

How much do analytical phd jobs pay per year?

As of Sep 11, 2026, the average yearly pay for analytical phd in the United States is $100,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $125,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Analytical Phd jobs?

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Infographic showing various Analytical Phd job openings in the United States as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $100,673 per year, or $48.4 per hour.

PhD Research Intern

Palo Alto, CA β€’ On-site

Other

Re-posted 12 days ago


Job description

PhD Intern

Where multiple locations are listed for this role, the position may be based in any of those locations, with priority determined according to the order of listing.

What you'll do

As a PhD intern, you will:

  • Collaborate with research scientists to advance methods in:
    • Planning and RL for computer use (e.g. behavioral cloning, RL on model weights, RAG-based domain knowledge)
    • Multimodal grounding (e.g. vision-only models, tree search, hybrid methods with large models)
    • Reward/judge modeling (e.g. error analysis, human evaluation, training judge models)
    • User intent understanding (e.g. modeling vague queries, preference learning)
  • Contribute to building datasets, running experiments, and benchmarking results
  • Explore novel approaches and help derisk Simular's long-term technical roadmap
  • Document and communicate findings through internal reports or academic-style writing

You might be a fit if

  • Currently pursuing a PhD in Computer Science, Machine Learning, or related field
  • Research background in at least one of: Reinforcement learning, Large language/vision-language models, Computer vision and multimodal perception, Representation learning
  • Experience conducting experiments and publishing or preparing papers in top-tier conferences (NeurIPS, ICLR, ICML, CVPR, ACL, etc.)
  • Strong coding and prototyping skills in Python and ML frameworks (PyTorch/JAX)
  • Curiosity, initiative, and interest in bridging fundamental research with applied AI