2

Next Generation Sequencing Data Analysis Remote Jobs in California

... next-generation AI systems. In this role, you will provide domain knowledge, document advanced ... Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote ...

New

... the analysis of next-generation sequencing (NGS) data including whole-genome sequencing (WGS ... remote role. It can be performed effectively from anywhere while staying connected to your Insmed ...

GIS/Geospatial Expert

San Jose, CA · Remote

$80 - $100/hr

... next-generation AI systems. In this role, you will provide domain knowledge, document advanced ... Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote ...

New

... next-generation AI systems. In this role, you will provide domain knowledge, document advanced ... Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote ...

New

GIS/Geospatial Expert

Palo Alto, CA · Remote

$80 - $100/hr

... next-generation AI systems. In this role, you will provide domain knowledge, document advanced ... Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote ...

New

... of next generation commercial fleets - one high-powered charging hub at a time. We develop, own ... Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows

... to analyze next-generation sequencing (NGS) and multimodal data to detect oncology related ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

... next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

... next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

next page

Showing results 1-20

Next Generation Sequencing Data Analysis Remote information

What is next generation sequencing (NGS) data analysis in a remote role?

Next Generation Sequencing (NGS) Data Analysis refers to the process of interpreting the massive amounts of data generated by high-throughput DNA sequencing technologies. In a remote role, professionals use specialized bioinformatics tools and computational methods to process, analyze, and visualize genomic data from their home or remote office. This involves tasks such as quality control, alignment of sequencing reads, variant calling, and downstream biological interpretation. Remote NGS data analysts often collaborate with researchers, clinicians, or pharmaceutical companies to support projects in genomics, personalized medicine, and biomedical research.

What are some typical challenges faced when working remotely in next generation sequencing (NGS) data analysis, and how can they be addressed?

A common challenge when working remotely in NGS data analysis is ensuring secure and efficient access to large datasets and high-performance computing resources. Collaborating with interdisciplinary teams, such as bioinformaticians, biologists, and IT staff, is also crucial and can be more complex in a remote environment. To address these challenges, remote analysts often use cloud-based platforms for data storage and analysis, establish clear communication channels with team members, and adhere to strict data security protocols. Regular virtual meetings and project management tools can also help maintain collaboration and project momentum.

What are the key skills and qualifications needed to thrive as a next generation sequencing (NGS) data analyst, and why are they important?

To thrive as a Next Generation Sequencing Data Analyst, you need a strong background in bioinformatics, molecular biology, and statistics, often supported by a degree in a life science or computational field. Familiarity with NGS platforms, data analysis tools (such as GATK, BWA, or SAMtools), scripting languages (Python, R), and experience with cloud-based or Linux environments are typically required. Problem-solving, attention to detail, and effective communication are critical soft skills for interpreting complex data and collaborating with interdisciplinary teams. These skills and tools are essential for accurately processing and interpreting large genomic datasets, which drive discoveries and clinical decision-making.

What are the most commonly searched types of Next Generation Sequencing Data Analysis jobs in California?

The most popular types of Next Generation Sequencing Data Analysis jobs in California are:

What are popular job titles related to Next Generation Sequencing Data Analysis Remote jobs in California?

For Next Generation Sequencing Data Analysis Remote jobs in California, the most frequently searched job titles are:

What job categories do people searching Next Generation Sequencing Data Analysis Remote jobs in California look for?

The top searched job categories for Next Generation Sequencing Data Analysis Remote jobs in California are:

What cities in California are hiring for Next Generation Sequencing Data Analysis Remote jobs?

Cities in California with the most Next Generation Sequencing Data Analysis Remote job openings:

Computational Scientist (Functional Genomics) - Remote

South San Francisco, CA • On-site, Remote

Astrix Inc
Recruiting and Staffing Services • 1 - 5K employees

$35 - $40/hr

Full-time, Contractor

Re-posted 7 days ago


Job description

Pay Rate Low: 35 | Pay Rate High: 40
Our client is an innovative biotechnology company seeking a Computational Scientist to support advanced research initiatives focused on analyzing large-scale single-cell perturbation datasets.
Title: Computational Scientist - Single-Cell Genomics & Perturbation Biology
Location: Remote (Must be open to working PST)
Schedule: Full-Time (40 hours/week)
Duration: 12-Month Contract (+Benefits)
Pay rate: $35-40/hr
In this role, you will leverage computational approaches to generate biological insights that accelerate target identification, drug discovery, and the development of next-generation therapeutics. This role will partner with cross-functional teams of computational scientists, biologists, and data scientists to generate biological insights from high-content sequencing data while contributing to scalable computational pipelines and best practices.
Key Responsibilities
  • Analyze large-scale perturbation sequencing datasets (e.g., Perturb-seq, CROP-seq, multi-condition single-cell RNA-seq).
  • Develop and apply computational methods to generate insights that support early-stage therapeutic research.
  • Collaborate with interdisciplinary teams across computational biology, biology, chemistry, and data science.
  • Contribute to software, analysis pipelines, and workflow improvements for large-scale genomic data analysis.
  • Present findings and communicate complex analyses to technical and non-technical stakeholders.

Qualifications
  • Master's or PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Mathematics, or a related quantitative life science field.
  • 1-3+ years of relevant industry or postdoctoral experience.
  • Hands-on experience analyzing Perturb-seq, CROP-seq, SciPlex, or other multi-condition single-cell RNA-seq datasets.
  • Strong programming skills in Python and/or R.
  • Experience working in HPC environments (SLURM, AWS, SGE, or similar).
  • Must be authorized to work in the United States without sponsorship.
  • Knowledge of workflow management tools such as Nextflow or Snakemake is preferred.
  • Strong software engineering fundamentals and experience with version control.
  • Excellent analytical, problem-solving, and communication skills.

INDBH
#LI-MG1