Postdoctoral Associate

1000scholars; Georgia; On-site; USD 50,000 - 60,000; Full time

Job summary

Baylor College of Medicine invites applications for a Postdoctoral Associate focused on decoding how infection leaves durable epigenetic and transcriptional scars shaping long-term immunity, inflammation, and lung repair.

The role integrates single-cell transcriptomics and chromatin accessibility with CRISPR-based perturbations and deep cohort phenotyping to identify causal mechanisms in post-infection lung disease.

Qualifications

• MD or PhD in a relevant scientific discipline.
• No prior experience required.
• Strong collaborative and English communication skills preferred.

Responsibilities

• Implement measurements of inflammation, host immunity, and cellular metabolism from patient samples.
• Perform and analyze single-cell RNA sequencing and epigenomic assays; integrate multi-omics data.
• Collaborate to validate regulatory elements and gene networks using CRISPR perturbations and organoid models.

Skills

Statistics

R

Python

English proficiency

Education

MD or PhD in Basic Science/Health Science

PhD in Biology/Immunology

Tools

CRISPRi/CRISPRa

scRNA-seq

scATAC-seq

CITE-seq

Cut and Run

Job description

Monday - Friday, 8 a.m. - 5 p.m.

Summary

Baylor College of Medicine invites applications for an innovative and highly interdisciplinary Postdoctoral Associate position focused on decoding how infection leaves durable epigenetic and transcriptional scars that shape long term immunity, inflammation, and lung repair.

This position is ideal for scientists excited to combine single cell transcriptomics and chromatin accessibility, CRISPR based gene and epigenetic perturbation, and deeply phenotype human cohorts to define causal mechanisms driving post infectious and post tuberculosis lung disease.

Postdoctoral Associate will need to implement single cell transcriptomics and epigenomic (scRNA-seq and scATAC, CITE-seq, Perterb-Seq, Cut and Run) on samples collected from participants who have had sepsis, pneumonia, and tuberculosis. Functional/ mechanistic validation of regulatory elements and gene networks controlling inflammation, immune memory, and tissue repair will be implemented using CRISPR inhibition and activation (CRISPRi/a) in primary immune cells and lung organoids. They are expected to be the first author on high-impact manuscripts that can form the basis for K-level or equivalent fellowship applications, or transitions to faculty. The position is optimal for applicants wanting to a) link multi-omic patient results to mechanistic, causal biology; b) eager to integrate wet-lab experiments with advanced bioinformatic analysis; c) excited to work at the interface of human cohorts with robust epidemiologic and long-term outcomes with experimental systems; d) aim to transition to independent investigator roles in academia or industry.

Job Duties

• Implements measurements of inflammation, host immunity, and cellular metabolism from ex vivo PBMCs and plasma from patients recovering from sepsis, pneumonia, or Tuberculosis.
• Implements and analyzes single cell RNA-Sequencing, single cell ATAC-Seq, CITE-Seq, Cut and Run, as well as bulk RNA-Seq, Proteomics, and Metabolomics datasets, generated from pneumonia tuberculosis patient cohorts with rich clinical data.
• Explores organoid models infection induced lung disease risk.

Minimum Qualifications

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

Preferred Qualifications

• Ph.D. in Biology, Immunology, or similar field, as well as a strong background in statistics.
• Experience in epigenetics or gene regulation is a plus, and experience with statistical analysis tools such as R or Python is recommended.
• Excellent written and verbal English skills, strong communication and interpersonal skills, and be capable of working with large collaborative teams.

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