Bioinformatics Scientist — NGS Pipelines & Genomics

Caris MPI, Inc.; Phoenix (AZ); On-site; USD 120,000 - 180,000; Full time

Job summary

Caris Life Sciences is seeking a Scientist - Bioinformatics to maintain existing NGS pipelines and develop new analytic workflows for whole exome, transcriptome, and genome data. You will work with R&D, Clinical Operations, IT, and management to design analytic pipelines supporting multiple omics assays.

You will implement robust quality control, manage data repositories, and contribute to bioinformatics strategies aligned with scientific goals. A PhD with 2–5 years of experience is expected.

Qualifications

• PhD in bioinformatics, biostatistics, biomedical engineering, computer science or other related disciplines.
• 2–5 years of experience with state-of-the-art bioinformatics tools, especially NGS pipelines.
• Experience with FASTQ, BAM, and VCF data formats.
• Programming experience in Python, Bash, SQL, and Git.
• Experience with AWS services (Lambda, Step Functions) and workflow languages such as WDL or Nextflow.

Responsibilities

• Implement and maintain computational pipelines for genomic, transcriptomic, proteomic, and metabolomic data.
• Collaborate with research, clinical, and data scientists to translate questions into analytical workflows.
• Establish and maintain databases and analytical platforms for data integration and sharing.
• Ensure data quality, processing, and rigorous validation procedures.
• Support cloud infrastructure optimization and data security best practices.

Skills

Python

Bash

SQL

Git

R/SciPy

Education

PhD in bioinformatics or related

Tools

AWS (Lambda, Step Functions)

Nextflow/WDL

OMICS pipelines

SAS

Job description

Caris Life Sciences is seeking a Scientist - Bioinformatics to maintain existing NGS pipelines and develop new analytic workflows for whole exome, transcriptome, and genome data. You will work with R&D, Clinical Operations, IT, and management to design analytic pipelines supporting multiple omics assays.

You will implement robust quality control, manage data repositories, and contribute to bioinformatics strategies aligned with scientific goals. A PhD with 2–5 years of experience is expected.