Remote Genomic Data Analyst

The Elitejob; United States; Remote; Full time

Benefits offered by this job

Flexible remote work

Competitive salary and benefits

Career development opportunities

Job summary

A leading financial institution is seeking a Remote Genomic Data Analyst to analyze large-scale genomic datasets. The role requires strong expertise in bioinformatics tools and programming. Candidates should have a degree in a relevant field and at least 2 years of experience. The position offers competitive compensation, flexible remote work options, and the chance to work on innovative genomic research projects.

Qualifications

• 2+ years of experience in genomic data analysis, preferably in both research and clinical settings.
• Proficiency with bioinformatics tools and software for sequence analysis.
• Strong understanding of genetics, molecular biology, and statistical analysis applied to genomic data.

Responsibilities

• Analyze genomic data from sequencing projects including Whole Genome Sequencing (WGS).
• Collaborate with geneticists and clinicians to interpret data for research or clinical objectives.
• Present analysis results and summarize findings for internal teams.

Skills

Genomic data analysis

Bioinformatics tools and software

Programming in Python

Programming in R

Education

Bachelor's or Master's degree in Bioinformatics, Genetics or related field

Tools

GATK

BWA

Galaxy

Amazon Web Services (AWS)

UCSC Genome Browser

Job description

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.

Key Responsibilities

Data Analysis & Interpretation:

• 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

Bioinformatics Tools & Software:

• 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, ClinVar, 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

Collaborative Research & Reporting:

• 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

Data Quality Control & Assurance:

• 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

Stay Current with Genomics Advances:

• 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

Requirements

• 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, ClinVar, 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

• Knowledge of genome-wide association studies (GWAS), variant interpretation, and bioinformatics pipelines

• Excellent problem-solving skills with the ability to troubleshoot and analyze complex data

• Ability to work independently with minimal supervision in a remote work environment

• Strong communication skills, both written and verbal, for presenting complex technical findings to diverse audiences

Preferred Qualifications

• PhD in Bioinformatics, Genomics, Computational Biology, or related field

• Experience with high-performance computing (HPC) and distributed computing environments

• Certification in bioinformatics tools or genomics analysis platforms

• Familiarity with other data types such as proteomics, transcriptomics, or metabolomics

• Prior experience in a clinical genomics or precision medicine setting

• Publications in peer-reviewed journals related to genomic data analysis or bioinformatics

Why Join Us

• Flexible Remote Work: Enjoy the freedom of working from anywhere while contributing to impactful genomics research

• Work with Cutting-Edge Technology: Be part of innovative projects analyzing large-scale genomic data using the latest bioinformatics tools

• Collaborative & Innovative Team: Work with a passionate team of scientists and researchers committed to advancing genomics and precision medicine

• Competitive Compensation: Attractive salary and benefits package based on experience and expertise

• Career Development: Opportunities for professional growth, including access to training, conferences, and educational resources

How to Apply

To apply, please submit:

• Your resume or CV

• A cover letter outlining your experience in genomic data analysis and bioinformatics

• A portfolio or examples of relevant past projects, if applicable

• Your availability and expected compensation