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Microarray Data Analysis Jobs (NOW HIRING)

NC ยท On-site

Microarray data analysis * Pipeline development * Methylation Analysis * Multi-omics Analysis * Cluster Analysis * Core facility Deliverables: * Work products and documents related to conducting data ...

... analysis, NGS, and other methodologies. * Oversee the review of genetic and CNV variant data: interpret NGS and microarray results in the context of medical literature, online variant databases and ...

... analysis, NGS, and other methodologies. * Oversee the review of genetic and CNV variant data: interpret NGS and microarray results in the context of medical literature, online variant databases and ...

... analysis, NGS, and other methodologies. * Oversee the review of genetic and CNV variant data: interpret NGS and microarray results in the context of medical literature, online variant databases and ...

Laboratory Director (ABMG)

San Carlos, CA ยท On-site

$128K - $167K/yr

Acceptable analytical test performance is established and maintained for each test system ... microarray data. * Familiarity with next-generation sequencing, and/or knowledge of advanced ...

Laboratory Director (ABMG)

Charleston, WV

$98K - $128K/yr

Acceptable analytical test performance is established and maintained for each test system ... microarray data. * Familiarity with next-generation sequencing, and/or knowledge of advanced ...

Laboratory Director (ABMG)

San Carlos, CA ยท On-site

$128K - $167K/yr

Acceptable analytical test performance is established and maintained for each test system ... microarray data. * Familiarity with next-generation sequencing, and/or knowledge of advanced ...

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Microarray Data Analysis information

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How much do microarray data analysis jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for microarray data analysis in the United States is $22.53, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $24.28 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Microarray Data Analyst, and why are they important?

To thrive as a Microarray Data Analyst, you need a strong background in molecular biology, statistics, and bioinformatics, typically supported by a degree in biology, bioinformatics, or a related field. Familiarity with statistical software (such as R or Bioconductor), microarray platforms, and data visualization tools is essential. Attention to detail, problem-solving ability, and effective communication are key soft skills for interpreting complex data and explaining findings to multidisciplinary teams. These skills are crucial for ensuring accurate data analysis, meaningful biological insights, and successful collaboration in research or clinical environments.

What is the highest paying job in data analytics?

In data analytics, roles such as Data Science Managers, Data Architects, and Machine Learning Engineers tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in programming, statistical analysis, and experience with big data tools like Hadoop or Spark.

What is microarray data analysis?

Microarray data analysis is a process used by professionals in bioinformatics and genomics to interpret data generated from microarray experiments. It involves preprocessing, normalization, and statistical analysis to identify gene expression patterns, often using specialized software and programming skills. This analysis helps researchers understand gene activity and biological functions in various conditions.

What are some common challenges faced by professionals in microarray data analysis and how can they be managed?

Professionals in microarray data analysis often face challenges such as handling large, complex datasets, ensuring data quality, and interpreting noisy or ambiguous results. Managing these challenges typically involves rigorous data preprocessing, normalization techniques, and the use of specialized bioinformatics tools to ensure reliable outcomes. Collaborating with biologists and statisticians can also help in accurately interpreting findings and addressing any biological variability. Staying updated with the latest analysis methods and software is essential for effective problem-solving in this dynamic field.

What is the difference between Microarray Data Analysis vs Bioinformatics Analyst?

AspectMicroarray Data AnalysisBioinformatics Analyst
Required CredentialsBachelor's or Master's in Biology, Bioinformatics, or related fields; experience with microarray dataBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skills
Work EnvironmentLaboratories, research institutions, biotech companiesResearch labs, biotech firms, healthcare organizations
Industry UsageGenomics, molecular biology, personalized medicineGenomics, data science, healthcare analytics
Common Search/ComparisonYesYes

Microarray Data Analysts focus on processing and interpreting microarray experiment data, often requiring specific biological knowledge. Bioinformatics Analysts have broader roles, including analyzing various biological datasets using computational tools. While both roles require bioinformatics skills, Microarray Data Analysis is specialized in microarray technology, whereas Bioinformatics Analysts work across multiple data types and platforms.

Can I be a data analyst with no experience?

Becoming a microarray data analyst typically requires some background in biology, statistics, or data analysis, but entry-level positions may be available to those with strong analytical skills and familiarity with tools like R or Python. Gaining experience through online courses, certifications, or internships can improve your chances of entering the field without prior professional experience.

What other careers are related to DNA analysts?

Related careers to DNA analysts include genetic counselors, molecular biologists, bioinformatics specialists, and forensic scientists. These roles often require knowledge of genetics, laboratory techniques, and data analysis tools, and may involve working in research, healthcare, or forensic settings.
More about Microarray Data Analysis jobs
Infographic showing various Microarray Data Analysis job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $46,864 per year, or $22.5 per hour.
Quality Assurance Lead III

Quality Assurance Lead III

Artech Information System LLC

Framingham, MA โ€ข On-site

Contractor

Posted 23 days ago


Job description

Company Description

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost.

Job Description

The Genetics and Genomics Group in the R&D Center seeks a highly motivated genomics scientist / computational biologist to work in a dynamic and cross-functional team supporting genomics and translational research and therapeutic product development.


Main responsibilities :

Provide data analysis and functional interpretation using a variety of molecular profiling data, including DNA and RNA sequencing, proteomics and cytokine profiling.

Interact with research scientists on biomarker discovery, mechanism of action, molecular target identification projects at every stage of the project, from experimental design to data analysis to hypothesis generation for downstream validations.

ย Keep abreast of the latest systems biology analytics in the literature and collaborate with informatics engineers to benefit the internal analytic process. You will drive the generation and testing of hypothesis leading to new biological insights.

Expected to effectively communicate analytical results with internal project collaborators through both presentations and one-on-one interactions.

Additionally, you will be expected to contribute to data management and computational infrastructure support within the group.


Qualifications

Basic Qualifications:

Ph.D. degree in biological sciences with strong quantitative background and 1-2 years of experience in bioinformatics/genomic research and data analysis. Experience must include hands on analysis of next generation sequencing data or microarray data and expert use of relevant software. Research experience in network analysis is highly valued. Working knowledge of biological knowledge bases and functional interpretation engines, such as IPA, MetaBase, DAVID is a must. Overall desired characteristics include: self-starter, faster learner, creative, hands-on, team player.


Additional Information

For more information, Please contact

Akriti Gupta

(973) 967-3409

Morristown, NJ 07960ย 



Artech logo

About Artech

Sourced by ZipRecruiter

Artech is a leading IT staffing and consulting company based in Morristown, NJ, US. Since its foundation in 1992, Artech has mastered in complementing human expertise with technology and business acumen to produce world-class staffing solutions. The company caters to diverse industry sectors, including financial services, healthcare, telecommunication, energy and utilities, supply chain, and retail. It provides IT consulting, project management, professional and staff augmentation, and managed staffing services. Artech's mission is to provide exceptional IT staffing services to its clients by comprehending their business needs and then crafting a customized staffing strategy. Its notable achievement includes being recognized as one of the largest IT staffing companies in the U.S, according to Staffing Industry Analysts (SIA).

Industry

Recruiting and staffing services

Company size

10,000+ Employees

Headquarters location

Morristown, NJ, US

Year founded

1992