9 дней назад
Postdoctoral Research Associate – Geeleher Lab (dry lab) (AI/ML)
85 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
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
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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