Full time

Callière Group; Union City (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Callie8re Group in Union City, CA is seeking a Senior Computational Scientist to design and optimize scalable pipelines that transform high‑dimensional multi‑omics data into interpretable insights for diagnostics. You will work at the intersection of biology, computation, and ML with a tight-knit team of scientists and engineers.

You'll partner with biologists and software engineers to translate concepts into clinical utility, implement robust workflows (Nextflow/Snakemake), and push boundaries

Qualifications

• 5+ years of hands-on work with single-cell, spatial, or high-throughput sequencing data.
• Strong understanding of how analytical assumptions affect biological interpretation.
• Solid engineering mindset with clean, scalable code.

Responsibilities

• Architect and optimize computational pipelines for large multi-omics datasets.
• Apply advanced statistics and ML to ultra-large cell-level and spatial data.
• Design and validate biomarkers and molecular signatures for diagnostics.
• Maintain scalable, reproducible data workflows for hundreds to thousands of samples.
• Collaborate with biologists, data scientists, and software engineers to translate ideas into clinical utility.

Skills

Single-cell data analysis

Spatial data analysis

Algorithmic optimization

Linux proficiency

Code scalability

Collaborative mindset

Tools

Nextflow

Snakemake

Git

Python

R

Job description

Senior Computational Scientist – Systems Biology & Next‑Gen Data Engineering

Union City, United States | Posted on 02/11/2026

Step into a role where code meets clinical impact. We’re building the next generation of data‑driven diagnostics — at the intersection of biology, computation, and machine learning. You’ll join a tight-knit team of scientists and engineers decoding huge multi‑omic datasets to uncover patterns that actually change patient outcomes.

What You’ll Do

Architect and optimize computational pipelines that turn raw high‑resolution molecular data into clean, interpretable insights.

Apply advanced statistical and algorithmic frameworks to analyze ultra‑large cell‑level and spatial datasets.

Design and validate novel biomarkers and molecular signatures that accelerate diagnostic innovation.

Maintain scalable, reproducible data workflows capable of handling cohorts of hundreds or thousands of biological samples.

Partner with biologists, data scientists, and software engineers to push new ideas from concept to clinical utility.

Requirements

What You Bring

5+ years working hands‑on with single‑cell, spatial, or high‑throughput sequencing data.

Deep understanding of algorithmic performance, statistical rigor, and how analytical assumptions translate to biological meaning.

Strong engineering mindset — you write clean, extensible code that scales gracefully.

Expert‑level fluency in Linux and modern programming ecosystems.

Independent drive, intellectual curiosity, and relentless attention to detail.

Bonus Points For

Experience with next‑generation spatial or single‑cell assay platforms.

Background in oncology, immunology, or systems‑level disease research.

Familiarity with biomarker discovery pipelines or clinical data integration.

Machine learning or statistical modeling applied to multi‑omic data.

Practical experience with workflow orchestration (Nextflow, Snakemake, or similar).

Solid software engineering habits — reproducible analysis, version control, peer review, and testing.

Comfort operating in high‑performance or cloud computing environments.

If you’re driven by the idea of building tools that help decode biology at scale and you thrive where data meets diagnostics, this is your stage.