No sub-contracting, no C2C or sponsorship. Either remote or hybrid.
Job need:
Bioinformatics Data Analyst for:
We are seeking a Bioinformatics Analyst to develop, implement, and operate analytical pipelines for long-read sequencing data. This role supports a broader initiative to increase the diversity and representation of genetic datasets used in research.
The ideal candidate will have hands-on experience with next-generation sequencing (NGS) data, including long-read technologies, and will play a key role in ensuring high-quality data processing, analysis, and reporting.
This is a 6-month contract position with a hybrid option in South San Francisco or remote within the U.S. (Pacific Time or compatible time zones).
Key Responsibilities
Pipeline Development & Management
Build, deploy, and maintain scalable bioinformatics pipelines for long-read sequencing (Oxford Nanopore) and methylation data
Support workflows for both short-read and long-read sequencing data
Data Processing & Quality Control
Manage ingestion and processing of raw sequencing and methylation datasets
Perform quality control (QC) at multiple stages and identify anomalies in results
Execute workflows for variant calling and downstream analysis
Documentation & Version Control
Maintain clear and organized documentation of pipelines, QC metrics, and analysis results
Track code and updates using version control systems (e.g., Git)
Cross-Functional Collaboration
Act as a technical point of contact for data-related workflows
Coordinate data transfers, processing updates, and reporting with global teams
Participate in regular meetings with international collaborators, including teams in East Africa
Required Qualifications
Bachelor s or Master s degree in Bioinformatics, Computational Biology, or a related field
2+ years of hands-on experience in bioinformatics or genomics data analysis
Technical Skills
Proficiency in Python and shell scripting (Bash)
Experience with high-performance computing (HPC) and/or cloud platforms (e.g., AWS)
Strong experience building and running NGS pipelines (e.g., Nextflow, Snakemake)
Hands-on experience with human whole genome sequencing (WGS) data, particularly using Oxford Nanopore (ONT), including basecalling, structural variant analysis, or methylation workflows
Experience using Git for version control and documentation
Domain Knowledge
Soft Skills
Strong communication skills with the ability to collaborate across global teams and time zones
Self-motivated and able to work independently while following established project guidelines
Detail-oriented with a proactive approach to problem-solving
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