Remote Genomic Data Analyst

Job Title: Remote Genomic Data Analyst
Location: Remote
Job Type: Full-Time / Freelance / Contract
Experience Level: Mid-Level to Senior-Level

We are seeking a skilled and motivated Remote Genomic Data Analyst to join our team. As a Genomic Data Analyst, you will be responsible for analyzing large-scale genomic datasets to support research and clinical decision-making. You will work with genomic data from various platforms such as sequencing technologies (NGS), SNP arrays, and microarrays. This role is perfect for someone passionate about genomics, bioinformatics, and data analysis in a remote work environment.

• Analyze genomic data from sequencing projects, including Whole Genome Sequencing (WGS), Whole Exome Sequencing (WES), and RNA-Seq

• Process and analyze large-scale datasets to identify genetic variants, mutations, and biomarkers that could have clinical or research implications

• Perform quality control, alignment, and variant calling using bioinformatics tools and pipelines (e.g., GATK, STAR, Bowtie2, BWA)

• Analyze structural variations, gene expression data, and other genomic features using bioinformatics software

• Interpret the biological significance of genetic variants and their impact on health or disease

• Use bioinformatics platforms such as Galaxy, Bioconductor, and UCSC Genome Browser to manage and analyze data

• Develop, maintain, and optimize custom scripts and workflows using programming languages such as Python, R, and Perl

• Utilize databases such as dbSNP, Clin Var, and Ensembl to annotate and interpret genetic data

• Work with cloud-based platforms (e.g., AWS, Google Cloud) for computational analysis and storage of large datasets

• Collaborate with geneticists, researchers, and clinicians to interpret data, ensuring the relevance of findings for research or clinical objectives

• Present analysis results to team members or stakeholders, translating complex genomic data into clear, actionable insights

• Write detailed reports and scientific papers summarizing findings and methodologies for internal teams and publication

• Assist in the design of genomic experiments, including data collection and analysis strategy

• Perform rigorous quality control on genomic data, ensuring accuracy and reliability in results

• Detect and troubleshoot technical issues in datasets, offering solutions to ensure data integrity

• Continuously monitor and refine data analysis workflows to optimize efficiency and reproducibility

• Keep up-to-date with the latest advancements in genomics, bioinformatics techniques, and related technologies

• Participate in webinars, workshops, and training sessions to continuously improve bioinformatics skills

• Contribute to the development and improvement of analysis methodologies to stay at the forefront of genomic research

• Bachelors or Masters degree in Bioinformatics, Genetics, Computational Biology, Computer Science, or a related field

• 2+ years of experience in genomic data analysis, preferably in both research and clinical settings

• Proficiency with bioinformatics tools and software for sequence analysis (e.g., GATK, BWA, STAR, SAMtools)

• Strong programming skills in Python and R (experience with Perl is a plus)

• Familiarity with NGS technologies, data formats (e.g., FASTQ, BAM, VCF), and genomic data analysis workflows

• Experience with genomic databases such as Ensembl, dbSNP, Clin Var, and UCSC Genome Browser

• Strong understanding of genetics, molecular biology, and statistical analysis applied to genomic data

• Familiarity with cloud computing platforms (e.g., AWS, Google Cloud) for data processing and storage

• Knowled…