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Cancer Research Phd Intern Jobs (NOW HIRING)

Simular

PhD Research Intern

Palo Alto, CA · On-site

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 ...

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How much do cancer research phd intern jobs pay per month?

As of Jun 8, 2026, the average monthly pay for cancer research phd intern in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

What does a Cancer Research PhD Intern do?

A Cancer Research PhD Intern assists in laboratory and clinical research focused on understanding, diagnosing, and treating cancer. They typically work under the supervision of experienced scientists, contributing to experiments, data analysis, and literature reviews. The internship provides hands-on experience with cutting-edge techniques, such as cell culture or molecular biology methods, and may also involve presenting findings at meetings. This role is designed to help PhD students gain practical skills and insight into the field of oncology research.

What are the key skills and qualifications needed to thrive as a Cancer Research PhD Intern, and why are they important?

To thrive as a Cancer Research PhD Intern, you need a strong foundation in molecular biology, biochemistry, and data analysis, typically supported by progress towards a PhD in a related scientific field. Familiarity with laboratory techniques (such as PCR, cell culture, and Western blotting), statistical software (like R or SPSS), and research compliance protocols is essential. Critical thinking, attention to detail, and effective teamwork are standout soft skills in this position. These abilities ensure rigorous experimental design, accurate data interpretation, and constructive collaboration, all of which drive impactful cancer research outcomes.

What types of projects and responsibilities can a Cancer Research PhD Intern expect during their internship?

As a Cancer Research PhD Intern, you will typically be involved in both independent and collaborative projects, such as conducting laboratory experiments, analyzing data, and contributing to ongoing research studies. You may also assist with drafting manuscripts, presenting findings at lab meetings, and participating in journal clubs or seminars. Interns frequently collaborate with postdoctoral researchers, principal investigators, and other interns, which provides valuable networking and learning opportunities. This role offers hands-on experience with cutting-edge scientific techniques and can help you build a strong foundation for a future career in cancer research.
Infographic showing various Cancer Research Phd Intern job openings in the United States as of May 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

PhD Research Intern

Simular

Palo Alto, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

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

Apply