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Microarray Data Analysis Jobs (NOW HIRING)

Experience with next-generation sequencing data analysis, including RNA-Seq, single-cell RNA sequencing, and microarray analysis. * Proficiency in programming languages and tools such as R, Python ...

$41K - $75K/yr

... Data Analysis, Computational Biology, Critical Reasoning, Gene Expression Microarray, Genome Sequencing, Group Problem Solving, Human Genetics, Model Organism Grade R09 Salary Range $41,700.00 - $75 ...

Experience with next-generation sequencing data analysis, including RNA-Seq, single-cell RNA sequencing, and microarray analysis. * Proficiency in programming languages and tools such as R, Python ...

Manufacture and test microarray reagents used in genomic DNA labeling kits and hybridization kits. * Analyze quantitative data and report results accurately. * Actively assist in the execution of ...

$41K - $75K/yr

... Complex Data Analysis, Computational Biology, Functional Genomics, Gene Expression Microarray, Genome Sequencing, Group Problem Solving, Human Genetics, Java, MATLAB, Model Organism, Python ...

Cell Culture Technician

Allentown, PA · On-site

$18.75 - $25/hr

... Microarray analyses. The skills include but not limited to, pre-/ post-FISH processing, DNA ... Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to ...

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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.
Specialist Position in Hematology-Oncology - Slamon TORL Lab 2025-2026

Specialist Position in Hematology-Oncology - Slamon TORL Lab 2025-2026

University of California, Los Angeles

Los Angeles, CA • On-site

Other

Posted 6 days ago


UCLA rating

8.0

Company rating: 8.0 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

160th of 544 rated colleges and universities


Job description

Position description
The Slamon Laboratory in the Division of Hematology-Oncology, Department of Medicine is recruiting for a Specialist to work at the Translational Oncology Research Laboratory site in Santa Monica and at the UCLA main campus.
The successful candidate will work closely with the UCLA faculty and research staff providing expert-level execution of immunohistochemistry (IHC) and tissue-based translational pathology workflows to support diagnostic antibody discovery, biomarker development, and IND-enabling studies. In addition, the candidate will independently perform state-of-the-art tissue processing and multiparametric assay development by optimizing, standardizing, and validating both manual and automated platforms to generate reproducible, publication- and regulatory-quality data.
Desirable laboratory bench skills include hands-on experience with design, optimization, and performing immunohistochemistry (IHC) assays across diverse tumor tissue types to evaluate diagnostic and translational antibody candidates in addition to independently performing TMA staining and analysis to assess target expression prevalence across patient cohorts within defined tumor indications.
The candidate will also serve as a technical consultant for interpretation of staining intensity, subcellular localization, and tissue heterogeneity to assess biological relevance and diagnostic utility in addition to training students and/or staff.
Appointees in the Specialist series will be expected to engage in specialized research, professional activities, and do not have formal teaching responsibilities. Appointees will also be expected to use their professional expertise to make scientific and scholarly contributions, and may participate in University and Public Service. Screening of applicants will begin immediately and will continue as needed throughout the recruitment period.
Candidates should possess a Ph.D. degree (or equivalent degree) or ten or more years of experience demonstrating expertise in tissue microarray preparation and interpretation, frozen tissue processing and molecular correlative studies, data analysis and scientific reporting in addition to scientific documentation and cross-functional collaboration to enable noble therapeutics to fight cancer.
Preferred skills for this position include excellent interpersonal skills, experience with database management, and being able to work remotely effectively.
The shared values of the DGSOM are expressed in the Cultural North Star, which was developed by members of our community and affirms our unswerving commitment to doing what's right, making things better, and being kind. These are the standards to which we hold ourselves, and one another. Please read more about this important DGSOM program at Cultural North Star .
Qualifications
Basic qualifications
A Ph.D. degree (or equivalent degree) or ten or more years of experience demonstrating expertise in tissue microarray preparation and interpretation, frozen tissue processing and molecular correlative studies, data analysis and scientific reporting in addition to scientific documentation and cross-functional collaboration to enable noble therapeutics to fight cancer is required.
Preferred qualifications
Preferred skills for this position include excellent interpersonal skills, experience with database management, and ability to work remotely effectively.
Application Requirements
Document requirements
  • Curriculum Vitae - Your most recently updated C.V.
  • UCLA Mission Statement - As the nation's premier public research university, UC's mission is the creation, dissemination, preservation and application of knowledge for the betterment of our global society. We have a particular responsibility to the people of California which we express in the excellence of the education we provide, the impact of the research we do, the comprehensive, life-saving medical services we provide, and the public service mission we are devoted to. The University of California promotes the social mobility of its students, equips them with the tools and experience that furthers their ambitions, and regards their accomplishments across the life span as evidence of the profoundly positive impact of higher education.
    The UCLA campus has expressed these goals in its strategic plan as follows:
    Deepen our engagement with Los Angeles
    Expand our reach as a global university
    Enhance our research and creative activities
    Elevate how we teach
    Become a more effective institution
    Prompt for candidates for recruitment:
    Reflecting on your personal and professional experiences, highlight your past contributions and future commitments to advancing UCLA's mission as embodied in the 2023-28 strategic plan. These accomplishments and ambitions may be discussed in the context of describing your teaching, scholarship, and service

Reference requirements
None
Apply link: https://recruit.apo.ucla.edu/JPF10989
Help contact: roxanaflores@mednet.ucla.edu
About UCLA
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy for Employees, Students and Third Parties
  • APM - 035: Affirmative Action and Nondiscrimination in Employment

Job location
Los Angeles, CA

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