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Nextflow Jobs in California (NOW HIRING)

Experience building and running reproducible workflows using tools such as Snakemake, Nextflow, or equivalent; familiarity with version control (Git) and best practices for collaborative code ...

... nextflow or snakemake Practical experience with working on HPC systems / SLURM Pay range: up to $65.18 per hour Only candidates available and ready to work directly as Aptask Global Workforce (AGW ...

... Nextflow, Snakemake, WDL, CWL). * Proven experience optimizing and scaling bioinformatics pipelines for performance and reliability. * Proficient in Python, with bonus points for experience in other ...

Computational Biologist

San Francisco, CA · On-site

$125K - $185K/yr

Strong programming skills in Python and/or R, with experience building reproducible analytical workflows (i.e., Snakemake, Nextflow, Git) * Proven ability to move quickly and deliver rigorous results ...

Bioinformatics Scientist

Redwood City, CA · On-site

$115K - $175K/yr

Expertise with cloud computing environments (AWS or GCP), container solutions (Docker), and common workflow management tools (Nextflow, Snakemake) * Proven scientific reputation as demonstrated by ...

Architect end-to-end analysis workflows in Python and/or R using modern workflow orchestration (Nextflow, Snakemake, or equivalent) that are reproducible, version-controlled, and designed to run at ...

Expertise with workflow orchestration tools (Nextflow, Snakemake) and cloud environments (GCP, AWS) * Experience with containerization (Docker, Kubernetes) and scalable compute infrastructure * Deep ...

Showing results 21-40

Nextflow information

What cities in California are hiring for Nextflow jobs? Cities in California with the most Nextflow job openings:
Infographic showing various Nextflow job openings in California as of August 2026, with employment types broken down into 90% Full Time, 2% Part Time, 1% Temporary, and 7% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution.

Computational Biologist

Transcripta Bio

Palo Alto, CA • On-site

Full-time

Re-posted 15 days ago


Job description

About Transcripta Bio
Transcripta Bio is a preclinical-stage AI drug discovery company pioneering a patient-first approach to therapeutics. Headquartered in Palo Alto, CA, we have built a proprietary closed-loop discovery engine - comprising our Disease Signature Atlas, Drug-Gene Atlas, and Conductor AI platform - that integrates single-cell patient transcriptomics, causal human genetics, and pre-validated chemistry to identify and advance drug candidates with a structural edge over conventional approaches.
WHAT YOU'LL DO
  • Develop, maintain, and optimize reproducible bioinformatics pipelines for processing, QC, and analysis of high-throughput datasets, including bulk RNA-seq, single-cell RNA-seq, and high-content imaging data.
  • Analyze data from drug perturbation screens to identify transcriptomic signatures, compound-gene associations, and patterns of drug response across disease-relevant cell models.
  • Integrate data across multiple experimental modalities (transcriptomics, imaging, protein measurements) to build a coherent picture of biology and prioritize therapeutic hypotheses.
  • Partner with wet lab scientists to help design experiments, define data standards, troubleshoot data quality issues, and ensure clean handoffs between experimental and computational workflows.
  • Contribute to the curation and expansion of the Drug-Gene Atlas: ensure that data inputs are well characterized, analysis methods are calibrated, and outputs are interpretable and reliable.
  • Communicate findings clearly through reports, visualizations, and presentations to both computational and non-computational colleagues.
  • Stay current with advances in transcriptomics, single-cell methods, and computational biology; evaluate and adopt new tools and approaches where they add value.
  • Contribute to code review, documentation, and best practices as the team grows.

WHAT YOU'LL BRING
  • PhD in Bioinformatics, Computational Biology, Genomics, or a related field with 3+ years of relevant experience in industry.
  • Extensive hands-on experience processing and analyzing bulk and/or single-cell RNA-seq data, from raw reads through QC, normalization, dimensionality reduction, clustering, and differential expression.
  • Experience in relevant scientific packages (e.g., scanpy, pandas, numpy, DESeq2, ggplot2) and comfort working in a Linux/command-line environment. Strong programming proficiency in Python and/or R is a plus
  • Experience building and running reproducible workflows using tools such as Snakemake, Nextflow, or equivalent; familiarity with version control (Git) and best practices for collaborative code development.
  • Exposure to high-throughput or perturbational screening datasets (chemical, genetic, or combined) is highly desirable.
  • A biologically grounded mindset: you approach data with mechanistic questions in mind, not just statistical outputs.

NICE TO HAVE
  • Experience analyzing data from functional genomics assays (e.g., ATAC-seq, ChIP-seq, perturb-seq, or pooled CRISPR screens).
  • Familiarity with spatial transcriptomics or multimodal data integration approaches.
  • Experience working with or alongside ML/AI teams; familiarity with applying machine learning methods to biological data.
  • Background in rare genetic disease, neurodegeneration, or other genetically defined disease areas.
  • Experience in cloud-based compute environments (AWS, GCP, or equivalent)