Senior Computational Scientist – Systems Biology & NextGen Data Engineering
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Job Location:
San Jose, CA - USA
Monthly Salary:
$ 200000 - 200000
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Step into a role where code meets clinical impact. Were building the next generation of datadriven diagnostics at the intersection of biology computation and machine learning. Youll join a tight-knit team of scientists and engineers decoding huge multiomic datasets to uncover patterns that actually change patient outcomes.
What Youll Do
Architect and optimize computational pipelines that turn raw highresolution molecular data into clean interpretable insights.
Apply advanced statistical and algorithmic frameworks to analyze ultralarge celllevel 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
Ph.D. (or equivalent experience) in computational biology bioinformatics genomics or a quantitative discipline.
5 years working handson with singlecell spatial or highthroughput 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.
Expertlevel fluency in Linux and modern programming ecosystems.
Independent drive intellectual curiosity and relentless attention to detail.
Bonus Points For
Experience with nextgeneration spatial or singlecell assay platforms.
Background in oncology immunology or systemslevel disease research.
Familiarity with biomarker discovery pipelines or clinical data integration.
Machine learning or statistical modeling applied to multiomic 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 highperformance or cloud computing environments.
If youre driven by the idea of building tools that help decode biology at scale and you thrive where data meets diagnostics this is your stage.
Required Skills:
Senior Computational Scientist Bioinformatics Systems Biology Genomics Transcriptomics Spatial Transcriptomics Single-cell Data Computational Biology Clinical Data Science Biomarker Discovery Data Engineering Machine Learning Statistical Modeling High-performance Computing Cloud Computing Python R Nextflow Snakemake Linux Pipeline Development Scalable Code Diagnostics Oncology Immunology Multi-omic Data Algorithm Development Reproducible Research Computational Genomics Scientific Software HPC Biomedical Data Translational Research Quantitative Biology
Company Industry
IT Services and IT Consulting
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
