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Genomic Analyst Jobs (NOW HIRING)

The University of Arizona

req26812

Tucson, AZ · On-site

Data Analysis: * Performs genetic and genomic analysis using a variety of software packages and custom scripting. * Carries out genome wide association studies using human and nonhuman primate data ...

PacBio

Senior Genomic Sales Specialist

Raleigh, NC · On-site

Knowledge of secondary and tertiary genomic analysis, variant interpretation, and clinical reporting workflows. * Experience within CAP, CLIA, or other regulated laboratory environments. * Knowledge ...

PacBio

Senior Genomic Sales Specialist

Boston, MA · On-site

Knowledge of secondary and tertiary genomic analysis, variant interpretation, and clinical reporting workflows. * Experience within CAP, CLIA, or other regulated laboratory environments. * Knowledge ...

PacBio

Senior Genomic Sales Specialist

Boston, MA · On-site

Knowledge of secondary and tertiary genomic analysis, variant interpretation, and clinical reporting workflows. * Experience within CAP, CLIA, or other regulated laboratory environments. * Knowledge ...

PacBio

Senior Genomic Sales Specialist

Knowledge of secondary and tertiary genomic analysis, variant interpretation, and clinical reporting workflows. * Experience within CAP, CLIA, or other regulated laboratory environments. * Knowledge ...

PacBio

Senior Genomic Sales Specialist

Boston, MA · On-site

Knowledge of secondary and tertiary genomic analysis, variant interpretation, and clinical reporting workflows. * Experience within CAP, CLIA, or other regulated laboratory environments. * Knowledge ...

Staffed4U

Biologicial Data Analyst

Chantilly, VA · On-site +1

Analyze genomic, sequencing, and other biological datasets to identify microbial characteristics, genetic variants, mutations, and potential biological hazards. * Execute, maintain, and optimize ...

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Genomic Analyst information

What is a genomic analyst?

A Genomic Analyst is a professional who specializes in analyzing and interpreting genomic data to understand genetic variations and their impact on health, disease, or traits. They use advanced bioinformatics tools and techniques to process DNA, RNA, and other molecular data, often working in research, clinical, or pharmaceutical settings. Genomic Analysts collaborate with scientists, clinicians, and other healthcare professionals to provide insights that can inform patient care, drug development, or further research. Their work is essential for advancing personalized medicine and understanding the genetic basis of diseases.

What are the key skills and qualifications needed to thrive as a genomic analyst, and why are they important?

To thrive as a Genomic Analyst, you need a solid background in genetics, bioinformatics, and data analysis, often supported by a degree in biology, genomics, or a related field. Familiarity with next-generation sequencing (NGS) platforms, genomic databases, and tools like Python, R, and specialized software such as GATK or IGV is essential. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for interpreting data and collaborating with interdisciplinary teams. These abilities are vital for ensuring accurate genomic data interpretation, driving research, and supporting clinical decision-making.

What are some common challenges genomic analysts face when interpreting large-scale sequencing data?

Genomic Analysts often encounter challenges related to managing and interpreting massive datasets generated by next-generation sequencing technologies. Ensuring data quality, distinguishing meaningful genetic variants from background noise, and integrating information from multiple data sources require strong analytical and computational skills. Collaborating closely with bioinformaticians, laboratory scientists, and clinicians is essential to validate findings and translate them into actionable insights. Staying current with evolving tools and best practices is also key to overcoming these challenges.

What is the difference between Genomic Analyst vs Bioinformatics Technician?

AspectGenomic AnalystBioinformatics Technician
Required CredentialsBachelor's or Master's in Genetics, Biology, or related field; experience with genomic data analysisAssociate's or Bachelor's in Bioinformatics, Computer Science, or related field; basic data analysis skills
Work EnvironmentLaboratories, research institutions, biotech companiesComputing labs, research facilities, biotech firms
Employer & Industry UsageResearch labs, healthcare, biotech industryResearch institutions, biotech companies, hospitals
Common Search & Comparison IntentUnderstanding roles in genomic data analysisEntry-level bioinformatics roles in genomics

The Genomic Analyst typically has advanced education and handles complex data interpretation, while the Bioinformatics Technician often supports data processing and basic analysis. Both roles are vital in genomics research but differ in responsibilities and experience requirements.

Does genomics pay well?

Genomic analysts typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions may start around $50,000 annually, while experienced professionals with advanced skills and certifications can earn over $100,000 per year. The field offers strong growth potential due to increasing demand for genomic research and personalized medicine.

How much does a genomic analyst make?

The average salary for a genomic analyst in the United States ranges from $60,000 to $90,000 per year, depending on experience, education, and location. Entry-level positions typically start around $50,000, while experienced analysts with specialized skills can earn over $100,000 annually.
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Genomic Analyst jobs near you
Infographic showing various Genomic Analyst job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Clinical Informatics Analyst - Institute for Genomic Health

Mount Sinai Medical Center

Manhattan, NY • On-site

$87.69 - $131.54/hr

Other

Posted 12 days ago

Job description

Description

Join the Institute for Genomic Health (IGH) at the Icahn School of Medicine at Mount Sinai and play a critical role in advancing precision medicine at one of the nation’s leading academic health systems. As a Clinical Informatics Analyst, you will help enable cutting‑edge research in genomic medicine that bridges discovery and patient care. This is a highly collaborative role at the intersection of data science, genomics, and clinical research.

Responsibilities
  • Enable high‑impact research: Partner with students and investigators to access, interpret, and analyze large‑scale clinical and genomic datasets, accelerating translational discoveries.
  • Build and optimize data infrastructure: Maintain and enhance centralized data resources, documentation, and metadata systems to ensure efficient, scalable, and reproducible research.
  • Drive advanced phenotyping: Develop and implement robust phenotyping algorithms using validated frameworks; harmonize clinical ontologies to support cross‑study analyses.
  • Support genomic analyses: Contribute to genetic data quality control and preparation for downstream analyses, including genome‑wide association studies (GWAS).
  • Lead and coordinate collaborations: Serve as a key liaison across multidisciplinary teams.
  • Shape research strategy and execution: Contribute to study design, data extraction, statistical analysis, and manuscript development for high‑impact publications.
  • Strengthen operational excellence: Support onboarding, contracting, and compliance processes; lead or facilitate project meetings; and develop standard operating procedures to streamline workflows.
  • Innovate with emerging technologies: Evaluate and integrate cutting‑edge tools, including AI/LLM‑based approaches, to enhance phenotyping and data analysis capabilities.
  • Amplify scientific impact: Contribute to grant proposals, presentations, and dissemination of findings at institutional and national levels.
Qualifications
  • Significant expertise with programming and statistical software experience in R, Python, SQL.
  • Familiarity with modern database design and operation.
  • Familiarity with clinical informatics frameworks and Electronic Health/Medical Record data types and ontologies, including ICD‑9/10, LOINC, RxNorm, UMLS, CPT codes, etc.
  • Familiarity with EPIC EHR systems (Clarity, Caboodle) is a strong advantage.
  • Strong communication and presentation skills.
Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

Compensation

The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $87,692 – $131,538 annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

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