Bioinformatics Analyst – Pathology

Jobtailor; Atlanta (GA); On-site; USD 90,000 - 130,000; Full time

Job summary

Jobtailor is seeking a bioinformatics-focused professional to maintain infrastructure in a bioinformatics or molecular modeling lab at Emory University. The role involves updating systems, analyzing high-throughput data, and applying molecular modeling tools to refine screening hits.

You will present models to guide experimental directions and contribute to reproducible workflows using Jupyter/R Markdown, with residency in Georgia and ability to commute to Emory as needed.

Qualifications

• Master's degree required or equivalent
• Student-related experience from formal Master's-level training
• Proficiency in R and Python
• Experience with single-cell RNA-seq and ATAC-seq pipelines (Cell Ranger, Seurat, Scanpy)
• Interest in systems immunology and multi-omics analysis
• Experience with Jupyter Notebook and R Markdown for workflows
• Proficiency with HPC environments and job scheduling (SLURM)
• Familiarity with AI tools to accelerate coding and workflows
• Residency in GA and ability to commute to Emory on a flexible schedule

Responsibilities

• Maintain software, hardware, and network infrastructure in a bioinformatics setting or molecular modeling laboratory
• Supervise regular updates and recommend state-of-the-art enhancements
• Analyze high-throughput screening data and perform structure-activity analyses to generate predictive correlations
• Apply molecular modeling tools to refine high-throughput screening hits
• Present models to enable decision-making for experiments
• Perform related responsibilities as required

Skills

R

Python

Single-Cell RNA-Seq

HPC

AI tools

Education

Master's degree in biology/biostatistics/chemistry/biochemistry/bioinformatics or related IT discipline

Tools

Jupyter Notebook

R Markdown

Cell Ranger

Seurat

Scanpy

SLURM

Job description

Maintain software, hardware, and network infrastructure in a bioinformatics setting or molecular modeling laboratory
Supervise regular updates and recommend state-of-the-art enhancements
Analyze high-throughput screening data and perform structure-activity analyses to generate predictive correlations
Apply molecular modeling tools to refine high-throughput screening hits
Present models in a form that enables users to make decisions about the direction of an experimental program
Perform related responsibilities as required

Requirements

• A master's degree in biology, biostatistics, chemistry, biochemistry, bioinformatics or related science or IT-based discipline
• Some student-related experience gained through formal Master's-level academic training
• Proficiency in R and Python
• Experience with single-cell RNA-seq and ATAC-seq pipelines and analysis, including Cell Ranger, Seurat, and Scanpy
• Interest in systems immunology and multi-omics analysis
• Experience with Jupyter Notebook and R Markdown for analysis and reproducible workflows
• Proficiency with high-performance computing (HPC) environments and job scheduling, such as SLURM
• Familiarity with AI tools to accelerate coding, analysis, and documentation workflows
• Residency in the state of GA
• Ability to commute to Emory University on a flexible weekly schedule based upon business needs

Core Competencies

Demonstrates expertise in bioinformatics and molecular modeling, with proficiency in R and Python for data analysis and high-throughput screening. Capable of applying advanced analytical techniques and tools to support experimental decision-making in a collaborative research environment.

Highest-signal resume keywords

• Proficiency In R
• Proficiency In Python
• Experience With Single-Cell RNA-Seq
• Experience With High-Performance Computing (HPC)
• Familiarity With AI Tools

Hard Skills

• Bioinformatics
• Molecular Modeling
• High-Throughput Screening Analysis
• Structure-Activity Analysis
• Data Analysis
• Predictive Correlations
• Reproducible Workflows
• Job Scheduling
• Multi-Omics Analysis
• Systems Immunology

Industry Keywords

• Biology
• Biostatistics
• Chemistry
• Biochemistry
• IT-Based Discipline

Tools & Technologies

• Jupyter Notebook
• R Markdown
• Cell Ranger
• Seurat
• Scanpy
• SLURM