Job Description

Position Summary

We are seeking a skilled and self-driven

Bioinformatician

with 3-4 years of experience to lead and execute high-throughput clinical NGS data analysis. This role combines hands-on technical work with team leadership responsibilities. The ideal candidate will be responsible for developing and managing automated analysis pipelines, ensuring high-quality data interpretation, and overseeing a small team of junior bioinformaticians. You will play a central role in bridging bioinformatics, clinical reporting, and technology teams in a fast-paced, patient-focused environment.

Key Responsibilities

Curate and organize genomic and clinical data from multiple sources to support DNA-seq and RNA-seq interpretation. Perform, manage, and troubleshoot analysis of clinical samples using validated pipelines for Whole Exome Sequencing (WES), targeted gene panels, and transcriptome (RNA-Seq) data. Design, develop, and optimize scalable and reproducible bioinformatics pipelines using tools such as

DRAGEN

,

Nextflow

,

Docker

, and cloud platforms (AWS/GCP). Identify false positives and technical artifacts; implement robust quality control (QC) workflows for data validation. Provide technical support to the reporting team for genomic data interpretation, including generating visualizations (e.g., CNA graphs, allelic burden plots, fusion summaries). Implement and manage internal metadata tracking systems and databases, including cloud-based archival. Continuously monitor and integrate emerging tools, algorithms, and databases relevant to NGS technologies and clinical genomics. Ensure secure archiving, retrieval, and integrity of genomic data on cloud infrastructure, with efficient data organization and backup strategies.

Lead and manage a small team of 2-3 bioinformaticians

, including task delegation, performance monitoring, and mentoring.

RequirementsTechnical SkillsExperience & EducationSoft SkillsNice to Have

Programming/Scripting

: Proficiency in

Python

,

R

, and command-line scripting (Shell

,

Perl

,

Git*).

Data Analysis & Statistics

: Strong foundation in statistics; experience with libraries such as

pandas

,

scikit-learn

,

tidyverse

.

NGS Tools

: Hands-on experience with standard genomic tools including

GATK

,

BWA

,

STAR

,

Salmon

,

SAMtools

, etc.

Workflow Management

: Experience with

Nextflow

/

Snakemake

,

Docker

, Linux/HPC environments, and workflow automation.

Cloud Platforms

: Working knowledge of

AWS

,

Google Cloud

, or similar cloud-based environments for genomic data processing and storage. Master's degree (or higher) in

Bioinformatics

,

Genomics

,

Computational Biology

,

Life Sciences

, or a related field.

3-4 years of hands-on experience

in clinical or applied NGS data analysis, preferably in healthcare setting. Strong understanding of

somatic variant calling

,

CNV detection

,

fusion detection

, and

clinical reporting workflows

. Experience managing or mentoring junior team members is highly desirable. Meticulous attention to data quality, reproducibility, and process documentation. Demonstrated leadership in project execution and team coordination. Excellent problem-solving, communication, and team collaboration abilities. Ability to work in a cross-functional team with data scientists, clinicians, and software engineers. Familiarity with internal database design and metadata management systems. Experience with visualization libraries or dashboarding tools for genomic data (e.g., Plotly, Dash, Shiny). Working knowledge of

cfDNA

,

TMB

, or

RNA-based fusion detection

workflows. Experience in automating internal operations using APIs or integration tools (e.g., Gmail API, REST APIs). Prior exposure to regulatory and compliance practices in clinical bioinformatics environments.
Job Type: Full-time

Pay: ?700,000.00 - ?800,000.00 per year

Benefits:

Health insurance
Work Location: In person