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Remote research with authorship: AI + cancer + viruses @stanford.edu

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Date: Tue, Jun 18, 2024, 08:19 PM

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Motive
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9.9% of cancers are attributable to viruses according to the World Health Organization. We have identified significant areas of concern in multiple studies claiming negative association, suggesting the current understanding is not only incomplete but possibly incorrect.

We investigate under-studied questions on viruses and cancer, particularly breast, lung, and nasopharyngeal cancer.

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Research Areas
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AI/ML biomedical datasets: creating open-source datasets to advance the evaluation of large language models like GPT4 and Med-Gemini for biomedical purposes.

Epstein-Barr virus (EBV) sequence conservation: addressing under-studied questions regarding EBV sequence conservation.

EBV association with breast cancer, particularly triple-negative breast cancer (TNBC) and breast cancer: exploring the relationship between EBV and TNBC specifically and breast cancer more broadly.

(about 8 hours)

(5 days)

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campus job

(575 days)

tutoring teaching admin research general

community

(about 3 hours)

activities childcare classes lost+found news+views rideshare volunteers general

services

(5 days)

computer tutoring general

EBV association with lung cancer, particularly non-small cell lung cancer (NSCLC): exploring the relationship between EBV and NSCLC.

EBV association with NPC, GC, and head-and-neck squamous cell carcinoma (HNSCC): exploring under-studied questions between EBV and NPC, GC, and HNSCC.

EBV and MYC interactions: exploring the relationship between EBV and MYC.

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Roles
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Research associate: assist with lit review, primary analysis, paper writing, and publishing. See examples below.

ML/AI developer: explore how ML/AI can accelerate our research. Must have basic chemistry and genomic background. Khan academy videos suffice -- degrees not needed. Must have working knowledge of LLMs and transformers.

Software developer: must have strong regular expression and database skills.

Bioinformatician: analyze DNA sequences and transcripts, gather genomic and transcriptomic data from various databases.

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Qualifications
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Logic and open-mindedness trump experience: we study questions from first principles so minimal experience is a plus, not a hindrance.

2+ years of research experience

LaTeX experience

1+ years of programming experience (optional)

We seek people who embrace failure, thrive with vague instructions and shifting timelines, and have a proven ability to see the world with open-mindedness.

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Example Research Questions
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Which cancers feature MYC translocations?

What are the morphological and molecular characteristics of NPC tumor cells?

What are the methodological/logical flaws with this 2004 Nature study: https://www.nature.com/articles/3800024? (Hint: there are several.)

What reference genome was used in a given study?

What are the genetic variants for EBNA1?

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Details
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Pay: depends on experience
Authorship: authorship credit if interested
Hours: flexible
Location: remote

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