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Microarray Data Analysis Jobs (NOW HIRING)

HNL Lab Medicine

Cell Culture Technician

Allentown, PA

$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 ...

Mithrl

Bioinformatics Engineer, Pipelines

San Francisco, CA · On-site

$150K - $200K/yr

... wide range of data modalities, including microarray, cell painting, WGS and WES, spatial ... with downstream analysis systems * Experience integrating pipeline outputs with data stores ...

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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
What job categories do people searching Microarray Data Analysis jobs look for? The top searched job categories for Microarray Data Analysis jobs are:
Microarray Data Analysis jobs near you
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.
Bioinformatics Programmer I ( Genomic Medicine)

Bioinformatics Programmer I ( Genomic Medicine)

Texas Children's Hospital

Houston, TX • On-site

Full-time

Posted 18 days ago

Texas Children's Hospital rating

8.3

Company rating: 8.3 out of 10

Based on 173 frontline employees who took The Breakroom Quiz

74th of 1,004 rated hospitals

Job description


We're searching for a Bioinformatics Programmer I, someone who works well in a fast-paced setting. In this position, you'll work with supervision to develop or modify complex information systems handling biological data using knowledge of molecular biology and computer science to manipulate and process complex data sets. Data management involves capturing information pertaining to biological and cellular activities captured using molecular biology methods, which may include microarray and next-generation sequencing.
Think you've got what it takes?
Job Duties & Responsibilities
  • Assists in evaluating user needs to design tools and pipelines, and collaborates with stakeholders to understand project requirements
  • Implements modules for data analysis under supervision, and ensures modules meet project requirements and pass tests
  • Contributes to the implementation and control of the configuration, development, and maintenance of bioinformatics solutions
  • Executes predefined test cases to validate the functionality and accuracy of tools in analysis applications, and ensures test results align with expected outcomes and standard
  • Creates basic user manuals for in-house developed tools to guide team members in their effective use for data analysis tasks, and ensures manuals are clear and accessible to non-technical users
  • Works in close collaboration with IS and Pathology Clinical Informatics colleagues to gain awareness of upcoming system upgrades and enhancements
  • Develops "ad hoc" reports as requested ensuring quality and thoroughness in providing analysis reporting to management by established deadline, as documented by reports
  • Investigates and establishes solutions to problems arising out of daily production issues in collaboration with Medical Director(s), Assistant Director(s), IS and Pathology Clinical Informatics colleagues

Skills & Requirements
  • Bachelor's degree in biological science, computer science, computational/programming, or related technical area required
  • Master's degree in biological science, computational/programming, computer science, or related field preferred
  • 2 years of relevant bioinformatics experience in a clinical setting preferred

About Us
Since 1954, Texas Children's has been leading the charge in patient care, education and research to accelerate health care for children and women around the world. When you love what you do, it truly shows in the smiles of our patient families, employees and our numerous accolades such as being consistently ranked as the best children's hospital in Texas, and among the top in the nation by U.S. News & World Report as well as recognition from Houston Business Journal as one of this city's Best Places to Work for ten consecutive years.
Texas Children's comprehensive health care network includes our primary hospital in the Texas Medical Center with expertise in over 40 pediatric subspecialties; the Jan and Dan Duncan Neurological Research Institute (NRI); the Feigin Tower for pediatric research; Texas Children's Pavilion for Women, a comprehensive obstetrics/gynecology facility focusing on high-risk births; Texas Children's Hospital West Campus, a community hospital in suburban West Houston; Texas Children's Hospital The Woodlands, the first hospital devoted to children's care for communities north of Houston; and Texas Children's Hospital North Austin, the new state-of-the-art facility providing world-class pediatric and maternal care to Austin and Central Texas families. We have also created Texas Children's Health Plan, the nation's first HMO focused on children; Texas Children's Pediatrics, the largest pediatric primary care network in the country; Texas Children's Urgent Care clinics that specialize in after-hours care tailored specifically for children; and a global health program that is channeling care to children and women all over the world. Texas Children's Hospital is affiliated with Baylor College of Medicine, one of the largest, most diverse and successful pediatric programs in the nation.
To join our community of 15,000+ dedicated team members, visit texaschildrenspeople.org for career opportunities.
Texas Children's is proud to be an equal opportunity employer. All applicants and employees are considered and evaluated for positions at Texas Children's without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, gender identity, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.

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