Postdoctoral Associate - Chromatin Regulation by Fusion Oncoproteins

About the role

The Eagen Lab at Baylor College of Medicine is recruiting a highly motivated Postdoctoral Associate. The Postdoctoral Associate will lead interdisciplinary research projects on how oncogenic fusion proteins reprogram chromatin and gene regulation in aggressive cancers. The position integrates third-generation, long-read sequencing, epigenomics, and functional genomics to uncover mechanisms of transcriptional control and genome regulation in fusion-driven cancers.

Job Duties

• Leads independent research projects by designing, executing, troubleshooting, and interpreting experiments in molecular and cellular biology.
• Develops and implements third-generation sequencing approaches that includes long-read PacBio and Oxford Nanopore, with a strong emphasis on single-molecule chromatin fiber profiling (e.g. Fiber-seq).
• Applies and/or develops epigenomic and transcriptomic assays such as CUT&RUN and RNA-seq (including specialized formats as appropriate).
• Analyzes and integrates multi-modal genomic datasets using computational approaches (with access to robust HPC resources).
• Evaluates data to plan subsequent stages of projects and collaborates with team members to refine research strategies.
• Disseminates findings through first-author publications and presentations at national/international conferences.
• Establishes new scientific directions by reading and evaluating scientific literature and integrating new findings into ongoing research projects.
• Contributes to an intellectually collaborative lab culture by making essential contributions to exciting problems while ensuring a high standard of biomedical research.

Minimum Qualifications

• MD or Ph.D. in Basic Science, Health Science, or a related field.
• No experience required.

Preferred Qualifications

• Experience with one or more of the following: long-read sequencing, Fiber-seq, CUT&RUN/CUT&Tag, RNA-seq, chromatin profiling, or related genomics approaches.
• Familiarity with computational analysis (e.g., Python, R, Bash) and/or genome-scale data integration.
• Experience with cell culture and functional genomics (e.g., CRISPR/Cas9), cancer models, and/or microscopy.
• Strong track record of first-author peer-reviewed publication(s) demonstrating productivity and scientific independence.
• Outstanding interpersonal and communication skills and the ability to work independently and in a team environment.
• A record of taking initiative to solve problems and working to high-quality standards demonstrated through previous research projects.
• Able to multitask, work and learn independently, and be self-motivated in a fast-paced research environment.
• Attention to detail and accurate record keeping.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.