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9 дней назад

Postdoctoral Research Associate – Geeleher Lab (dry lab) (AI/ML)

85 000$
Формат работы
onsite
Тип работы
fulltime
Английский
c1
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Postdoctoral Research Associate – Geeleher Lab (dry lab) (AI/ML): Identifying therapeutic target pairs for pediatric cancers by integrating atlas-scale single-cell, spatial, bulk genomic, functional-genomic, and pharmacologic datasets with an accent on AI/ML-driven discovery and translational validation. Focus on developing agent-based workflows, nominating disease-selective cell-surface antigen combinations, and collaborating with wet-lab scientists to advance bispecific and logic-gated therapies.

Location: Memphis, TN; 100% on-site. Relocation assistance is available.

Starting salary: approximately $85,000 per year, with benefits following the St. Jude postdoctoral compensation scale.

Company

hirify.global conducts NIH-funded pediatric cancer research and develops translational treatments for children with cancer.

What you will do

  • Lead independent computational and AI research projects identifying and prioritizing therapeutic target pairs in pediatric cancers.
  • Develop AI- and agent-based workflows integrating single-cell, spatial transcriptomic, bulk genomic, functional-genomic, and pharmacologic datasets.
  • Nominate disease-selective cell-surface antigens and combinations using malignant-cell specificity, co-expression, spatial localization, normal-tissue expression, and targetability.
  • Collaborate with wet-lab scientists to design validation studies and interpret experimental results.
  • Produce publication-quality analyses, figures, visualizations, manuscripts, and presentations.
  • Mentor junior lab members and contribute to a collaborative wet-dry research environment.

Requirements

  • Ph.D. or equivalent in Computational Biology, Genetics/Genomics, Bioinformatics, Computer Science, Mathematics, Physics, or a related field.
  • Strong background in quantitative or computational biology.
  • Proficiency in R or Python for data analysis.
  • Experience leading or substantially driving a complex research project, demonstrated by a first-author paper or comparable contribution.
  • Scientific writing, presentation, and communication skills.
  • Strong written and spoken English skills are required.

Nice to have

  • Experience with single-cell or spatial transcriptomic analysis.
  • Experience with machine learning, LLMs, AI agents, multimodal data integration, or automated biological interpretation workflows.
  • Experience in pediatric cancer research.
  • Interest in rapidly learning and implementing advanced computational techniques.

Culture & Benefits

  • Integrated wet-lab and dry-lab research environment focused on neuroblastoma and other high-risk pediatric solid tumors.
  • Co-mentorship from Geeleher Lab and a pediatric oncologist supporting translation from genomics discoveries to clinical applications.
  • Career support for academic and industry paths.
  • Support for grant and fellowship writing for candidates pursuing academic faculty careers.
  • Competitive postdoctoral compensation and benefits.

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