Postdoctoral Associate - Specialist - Cancer Genomics

Baylor College of Medicine; Houston (TX); On-site; USD 70,000 - 75,000; Full time

Job summary

Baylor College of Medicine in Houston, TX, is seeking a Postdoctoral Associate - Specialist in Cancer Genomics to analyze and interpret large-scale leukemia genomic and multiomic datasets. The role emphasizes WGS, WTS, methylation, long-read sequencing, ATAC-seq, HiChIP, and single-cell data, with an emphasis on variant interpretation and model validation.

The candidate will mentor students or junior analysts as the lab expands, integrating sequencing data, clinical covariates, and biological

Qualifications

• Ph.D. in a quantitative field or related discipline.
• Experience with WGS/WTS, RNA-seq, DNA methylation and multiomic data.
• Strong programming and data analysis skills.
• Ability to work with large pediatric leukemia datasets.

Responsibilities

• Analyze and interpret genomic, transcriptomic, epigenomic, long-read, chromatin-accessibility, chromatin-contact, and single-cell datasets from pediatric leukemia studies.
• Perform variant interpretation, structural variant annotation, subtype classification, fusion/gene-expression analysis, methylation analysis, and multiomic integration.
• Support validation/evaluation of multiomic classifiers and risk models, including benchmarking and documentation of research outputs.
• Participate in testing, documentation, QC review, and implementation of reproducible WGS/WTS workflows.
• Prepare data summaries, figures, reports, manuscripts, and presentations for collaborative research projects.
• Coordinate long-read sequencing and DNA methylation analysis to identify cryptic variants and methylation patterns in leukemia/lymphoma.
• Manage multiomic classifier and risk-model validation against existing diagnostic workflows.

Skills

Genomics data analysis

Multi-omics integration

Data interpretation

Education

Ph.D. in chemistry/computational sciences or related field

Tools

R

Linux/HPC

Version control

Reproducible workflows

Job description

Postdoctoral Associate - Specialist - Cancer Genomics

Division: Pediatrics

Work Arrangement: Onsite only

Location: Houston, TX

Salary Range: $70,000 - $75,000

FLSA Status: Exempt

Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.

Summary

The Postdoctoral Associate - Specialist will analyze and interpret large-scale leukemia genomic and multiomic datasets. The role focuses on WGS, WTS, DNA methylation, long-read sequencing, ATAC-seq, HiChIP, and single-cell RNA/ATAC data, with emphasis on variant interpretation, subtype classification, model validation, data harmonization, and reproducible outputs.

The Postdoctoral Associate will train or mentor students, or junior analysts as the laboratory grows. Study complexity includes high-dimensional genomic and epigenomic datasets from pediatric leukemia cohorts, external validation cohorts, and Texas Children's cohorts. The role requires integration of sequencing data, clinical covariates, model outputs, and biological interpretation with reproducible documentation.

Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.

Job Duties

• Analyzes and interprets genomic, transcriptomic, epigenomic, long-read, chromatin-accessibility, chromatin-contact, and single-cell datasets from pediatric leukemia studies.
• Performs variant interpretation, structural variant annotation, subtype classification, fusion/gene-expression analysis, methylation analysis, and multiomic integration.
• Supports validation/evaluation of multiomic classifiers and risk models, including benchmarking, performance assessment, and documentation of research-use outputs.
• Participates in testing, documentation, QC review, and implementation of reproducible WGS/WTS and multiomic workflows with the PI and institutional bioinformatics teams.
• Prepares data summaries, figures, reports, manuscripts, and presentations for collaborative research projects.
• Coordinates long-read sequencing and DNA methylation analysis to identify cryptic regulatory and structural variants in pediatric leukemia/lymphoma, that includes breakpoint interpretation, allelic phasing, methylation-aware analysis, and integration with transcriptomic evidence.
• Manages multiomic classifier and risk-model validation that includes evaluation against existing diagnostic workflows, turnaround time, and incremental biomarker yield.
• Manages regulatory-state and relapse-biology analyses integrating scRNAseq, scATAC-seq, bulk ATAC-seq, enhancer-promoter connectivity data, reference atlases, and diagnosis-relapse pairs.
• Coordinates QC review, documentation, and implementation support for WGS/WTS workflows.
• Performs other job-related duties as assigned.

Minimum Qualifications

• Ph.D. in Chemistry, Computational Sciences, Computational Biology, Structural Biology, Computer Science, Bioinformatics, Statistics, or related disciplines. May also include Ph.D. in Biology or Biomedical Sciences in combination with an M.S. or extensive multidisciplinary experience in one of the above quantitative fields.

Preferred Qualifications

• PhD in computational biology, bioinformatics, genomics, statistics, computer science, biomedical sciences with strong quantitative training, or related field.
• Experience in WGS, WTS/RNA-seq, DNA methylation, long-read sequencing, ATAC-seq, HiChIP/chromatin-contact data, scRNA-seq, scATAC-seq, cancer genomics, structural variation, R, Linux/HPC, version control, and reproducible workflows.

Baylor College of Medicine fosters diversity among its students, trainees, faculty, and staff as a prerequisite to accomplishing our institutional mission and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient-centered care. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.