Software Guidance & Assistance
Bioinformatics Associate III
Software Guidance & Assistance, South San Francisco, California, us, 94083
Overview
Bioinformatics Associate III CONTRACT assignment with Software Guidance & Assistance, Inc. (SGA, Inc.) for a premier Pharmaceutical Services client in South San Francisco, CA. Base pay range
$35.32/hr - $59.00/hr Responsibilities
Design, develop, test, and optimize automated bioinformatics pipelines for the processing and analysis of diverse sequencing data. Perform advanced statistical and computational analyses of genomics data, including variant calling, differential gene expression, pathway analysis, genomic annotation, and custom analyses tailored to research questions. Write efficient, well-documented, and reproducible code primarily in Python or R for data cleaning, transformation, integration, and visualization. Evaluate, implement, and adapt existing bioinformatics tools and algorithms, and contribute to the development of novel methods. Work collaboratively with wet-lab scientists to understand experimental designs, troubleshoot data quality issues, and interpret biological findings. Identify and resolve technical issues within pipelines and analyses, optimize computational efficiency, and ensure data integrity. Generate comprehensive reports, visualizations, and presentations of analytical results for scientific colleagues and stakeholders. Clearly communicate complex bioinformatics concepts to non-specialists. Keep abreast of the latest advancements in bioinformatics tools, algorithms, and genomic technologies. Required Skills
Training in Bioinformatics, Computational Biology, Genomics, Genetics, Computer Science, or a related quantitative field. Proven strong programming skills in either Python or R. Solid understanding of next-generation sequencing (NGS) data types, experimental design, and common bioinformatics analysis workflows. Experience with biological databases and public data repositories (e.g., NCBI, Ensembl, UCSC Genome Browser, TCGA, GTEx). Familiarity with version control systems (e.g., Git). Excellent problem-solving abilities and a strong analytical mindset. Ability to work independently and collaboratively in a fast-paced research environment. Strong communication and interpersonal skills. Preferred Skills
Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Singularity). Proficiency with workflow management systems (e.g., Snakemake, Nextflow, Cromwell/WDL). Experience with statistical modeling and machine learning techniques applied to biological data. Knowledge of specific sequencing applications relevant to our research (e.g., single-cell genomics, long-read sequencing, epigenomics). Experience working in a Linux/Unix environment. Familiarity with high-performance computing (HPC) clusters. About the employer and equal opportunity
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants to engagements and value customer service, employee development, and quality and integrity in everything we do. SGA is an Equal Opportunity Employer and does not discriminate on protected characteristics. We provide access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment. Please visit our company EEO page to request an accommodation or assistance regarding our policy. #J-18808-Ljbffr
Bioinformatics Associate III CONTRACT assignment with Software Guidance & Assistance, Inc. (SGA, Inc.) for a premier Pharmaceutical Services client in South San Francisco, CA. Base pay range
$35.32/hr - $59.00/hr Responsibilities
Design, develop, test, and optimize automated bioinformatics pipelines for the processing and analysis of diverse sequencing data. Perform advanced statistical and computational analyses of genomics data, including variant calling, differential gene expression, pathway analysis, genomic annotation, and custom analyses tailored to research questions. Write efficient, well-documented, and reproducible code primarily in Python or R for data cleaning, transformation, integration, and visualization. Evaluate, implement, and adapt existing bioinformatics tools and algorithms, and contribute to the development of novel methods. Work collaboratively with wet-lab scientists to understand experimental designs, troubleshoot data quality issues, and interpret biological findings. Identify and resolve technical issues within pipelines and analyses, optimize computational efficiency, and ensure data integrity. Generate comprehensive reports, visualizations, and presentations of analytical results for scientific colleagues and stakeholders. Clearly communicate complex bioinformatics concepts to non-specialists. Keep abreast of the latest advancements in bioinformatics tools, algorithms, and genomic technologies. Required Skills
Training in Bioinformatics, Computational Biology, Genomics, Genetics, Computer Science, or a related quantitative field. Proven strong programming skills in either Python or R. Solid understanding of next-generation sequencing (NGS) data types, experimental design, and common bioinformatics analysis workflows. Experience with biological databases and public data repositories (e.g., NCBI, Ensembl, UCSC Genome Browser, TCGA, GTEx). Familiarity with version control systems (e.g., Git). Excellent problem-solving abilities and a strong analytical mindset. Ability to work independently and collaboratively in a fast-paced research environment. Strong communication and interpersonal skills. Preferred Skills
Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Singularity). Proficiency with workflow management systems (e.g., Snakemake, Nextflow, Cromwell/WDL). Experience with statistical modeling and machine learning techniques applied to biological data. Knowledge of specific sequencing applications relevant to our research (e.g., single-cell genomics, long-read sequencing, epigenomics). Experience working in a Linux/Unix environment. Familiarity with high-performance computing (HPC) clusters. About the employer and equal opportunity
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants to engagements and value customer service, employee development, and quality and integrity in everything we do. SGA is an Equal Opportunity Employer and does not discriminate on protected characteristics. We provide access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment. Please visit our company EEO page to request an accommodation or assistance regarding our policy. #J-18808-Ljbffr