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Ngs Data Analysis Jobs (NOW HIRING)

NYULMC

Senior Bioinformatics Programmer

New York, NY · On-site

... NGS) based diagnostics. In addition, bioinformatics analysis of various types of patient genomic, epigenomic and transcriptomic data is required. This is a great opportunity to be involved in an ...

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How much do ngs data analysis jobs pay per year?

As of Jul 14, 2026, the average yearly pay for ngs data analysis in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the tools used for NGS data analysis?

NGS data analysts typically use tools such as FastQC for quality control, BWA or Bowtie for sequence alignment, GATK for variant calling, and SAMtools for data processing. Familiarity with programming languages like Python or R and experience with workflow management systems like Snakemake or Nextflow are also important for efficient analysis.

What is the highest paying job in data analytics?

In data analytics, senior roles such as Data Science Managers, Analytics Directors, and Chief Data Officers tend to have the highest salaries, often exceeding six figures annually. These positions require advanced skills in statistical analysis, machine learning, and leadership, along with extensive experience and often relevant certifications.

What is NGS data analysis?

NGS data analysis involves processing and interpreting data generated by next-generation sequencing technologies to identify genetic variations, gene expression patterns, or other genomic information. It requires skills in bioinformatics, familiarity with tools like FASTQ, BAM, and variant callers, and often involves scripting and statistical analysis. This process is essential for research, diagnostics, and personalized medicine applications.

What are some common challenges faced in NGS Data Analysis roles, and how are they typically addressed?

Professionals in NGS Data Analysis often encounter challenges such as managing and processing extremely large and complex datasets, ensuring data quality, and interpreting ambiguous or noisy results. Keeping up with rapidly evolving sequencing technologies and bioinformatics tools can also be demanding. Most teams address these challenges through ongoing training, collaboration with cross-disciplinary scientists, and leveraging automated pipelines for data processing. Open communication and teamwork are essential, as analysts frequently consult with wet lab researchers, computational biologists, and clinicians to validate findings and solve troubleshooting issues.

What are the key skills and qualifications needed to thrive in the Ngs Data Analysis position, and why are they important?

To thrive in NGS (Next-Generation Sequencing) Data Analysis, a strong background in bioinformatics, molecular biology, and statistical data analysis is essential, often supported by an advanced degree in a life sciences field. Familiarity with programming languages like Python or R, experience with specialized NGS analysis tools (such as GATK or SAMtools), and knowledge of cloud computing platforms are highly valuable. Critical thinking, attention to detail, and effective communication are important soft skills for collaborating with researchers and interpreting complex results. These skills ensure accuracy in analyzing large genomic datasets and help translate findings into actionable biological insights.

What is an NGS Data Analysis job?

An NGS Data Analysis job involves processing and interpreting data generated from Next-Generation Sequencing (NGS) technologies. Professionals in this role use bioinformatics tools to clean, align, and analyze sequencing data to identify genetic variations, mutations, or other biologically relevant insights. They work with large datasets, often using programming languages like Python or R, and collaborate with researchers or clinicians to support scientific discoveries or clinical diagnoses. This role is essential in genomics, biotechnology, and healthcare industries.

Can I be a data analyst with no experience?

Becoming a data analyst typically requires some knowledge of data analysis tools like Excel, SQL, or Python, and understanding of data visualization. While prior experience is helpful, entry-level positions often accept candidates with relevant coursework, certifications, or strong analytical skills, and on-the-job training is common.
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Ngs Data Analysis jobs near you
Infographic showing various Ngs Data Analysis job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Bioinformatics Software Engineer II, Pathology and Lab Medicine

Msk

New York, NY • Hybrid

$100K - $161K/yr

Full-time

Re-posted 2 days ago

Job description

About Us:

The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe.

Exciting Opportunity at MSK! Our Pathology and Laboratory Medicine Department is looking for aBioinformatics Software Engineerto join a dynamic team supporting stateoftheart molecular diagnostics and cancer genomics programs. You will play a key role in developing software tools, web applications, and data workflows that empower our clinicians and researchers to interpret complex genomic information and advance precision oncology.

Role Overview

Build web applications and APIs that enable genomic data visualization and clinical reporting

Collaborate closely with bioinformaticians, laboratory scientists, researchers, and clinicians to translate workflow needs into robust software solutions

Develop,optimize, andmaintaincomputational workflows for NGS data processing

Improve performance, scalability, and reliability of existing pipelines and tools

Ensure data quality, reproducibility, and proper documentation across all projects

Key Qualifications

BS in Bioinformatics, Computer Science, or related field + 5 years of experienceORMS in Bioinformatics, Computer Science, or related field + 2 years of experience

Strong programming skills in Python

Experience in web development (e.g., Flask, Django, React)

Experience with relational databases (PostgreSQL, MySQL) and/or NoSQL (MongoDB)

Hands-on experience with containerization (Docker, Kubernetes)

Familiarity with version control (Git/GitHub) and CI/CD workflows

Understanding of NGS data analysis workflows

Strong debugging, analytical, and problem-solving skills

Preferred:

Experience with cloud computing (AWS, GCP, or Azure)

Knowledge of cancer genomics, variant calling, and annotation

Core Skills

Ability to translate scientific and clinical needs into maintainable, welldesigned software

Strong communicationskills and comfort collaborating with multidisciplinary teams

Ability to work in fastpaced research and clinical environments

Commitment to reproducible, traceable, and welldocumented work

Additional Information

Schedule: hybrid, at least 2 days a week in office, mustresidein the NYC metro area

Location:Joy Building, 321 E 61stStreet, NYC

Reporting to: Manager, Bioinformatics Pathology and Laboratory Medicine

Helpful Links:

  • Compensation Philosophy

  • Benefits

Pay Range: $100,600.00 - $161,000.00FSLA Status: Exempt

Closing:

At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills.

MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

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