**Bioinformatics Analyst** Biostatistician San Francisco, CA, US Pay Rate Low: 40 | Pay Rate High: 50 + Added - 13/11/2024 Apply for Job _Are you looking to dive into the world of cutting-edge genomics? Do you want to play a pivotal role in uncovering the genetic drivers of disease and shaping the future of healthcare? Join our client as a_ **_Bioinformatics Analyst_** _and be part of a dynamic team at the forefront of genomics research!_ ****This job is remote working in PST zone**** **Job Type:** 6-month contract **Pay rate:** $40/ hr.- $50/ hr. **Key Responsibilities:** + Process and analyze high-throughput sequencing data from various platforms (e.g., Illumina, PacBio) for DNA-Seq, RNA-Seq, ChIP-Seq, and other genomic assays + Design, automate, and optimize bioinformatics workflows and pipelines using tools such as GATK, STAR, DESeq2, and others to improve efficiency and reproducibility of analyses + Interpret and analyze genetic variation, gene expression, and functional genomics data to identify potential biomarkers or genetic drivers of disease + Integrate genomic data with other omics datasets (e.g., transcriptomics, proteomics) to derive comprehensive biological insights + Perform statistical analyses including differential expressions, pathway analysis, and gene set enrichment using tools like DESeq2, edgeR, and Limma to identify significant biological patterns + Prepare detailed data analysis reports, visualizations, and summaries, presenting findings to both technical and non-technical stakeholders + Customize existing bioinformatics tools and evaluate new algorithms, methodologies, and tools to enhance data analysis workflows **Qualifications:** + Bachelor's or Master’s degree in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field. A Ph.D. is a plus but not required + Minimum of 2 years of experience in bioinformatics analysis, preferably in a genomics or biotechnology setting + Proficiency in bioinformatics tools such as GATK, BWA, SAMtools, BEDTools, STAR, DESeq2, edgeR, and others + Strong experience with high-throughput sequencing technologies (NGS) and genomic data analysis (RNA-Seq, DNA-Seq, ChIP-Seq) + Proficiency in programming languages such as Python, R, and/or Bash/Shell scripting + Experience with bioinformatics platforms like Galaxy or Bioconductor is a plus + Familiarity with statistical analysis methods for gene expression analysis and pathway analysis **Additional Skills (Preferred):** + Experience with multi-omics integration, including transcriptomics and proteomics. + Knowledge of genomic databases such as 1000 Genomes, dbSNP, ClinVar, and other public genomic resources. + Familiarity with cloud computing or high-performance computing environments is a plus. INDBH \#LI-DNP We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.