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Bioinformatics Data Analyst Jobs in Spring, TX (NOW HIRING)

Responsibilities include preparing microbiome datasets, conducting bioinformatics analyses, interpreting data, and developing presentations of results for publications and scientific conferences. All ...

Responsibilities include preparing microbiome datasets, conducting bioinformatics analyses, interpreting data, and developing presentations of results for publications and scientific conferences. All ...

Responsibilities include preparing microbiome datasets, conducting bioinformatics analyses, interpreting data, and developing presentations of results for publications and scientific conferences. All ...

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Bioinformatics Data Analyst information

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$40

$73

How much do bioinformatics data analyst jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for bioinformatics data analyst in Spring, TX is $40.78, according to ZipRecruiter salary data. Most workers in this role earn between $32.07 and $43.65 per hour, depending on experience, location, and employer.

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

To thrive as a Bioinformatics Data Analyst, a solid background in biology, statistics, and programming (often with a degree in bioinformatics, computational biology, or a related field) is essential. Proficiency with tools such as R, Python, SQL, and bioinformatics software like BLAST or Bioconductor, as well as experience with large datasets and relevant certifications, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, meaningful biological insights, and successful project outcomes in research or clinical settings.

What is the difference between Bioinformatics Data Analyst vs Bioinformatics Scientist?

AspectBioinformatics Data AnalystBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsMaster's or PhD in Bioinformatics, Computational Biology, or related fields
Work EnvironmentData analysis teams, research labs, healthcare settingsResearch projects, development of algorithms, scientific publications
Employer & Industry UsageBiotech companies, healthcare institutions, research organizationsAcademic institutions, biotech firms, pharmaceutical companies
Common Search & ComparisonOften compared for data analysis roles in bioinformaticsMore research-focused, involved in algorithm development

Bioinformatics Data Analysts primarily focus on analyzing biological data using existing tools, while Bioinformatics Scientists develop new algorithms and conduct research. Both roles require strong computational skills, but the Scientist role typically involves more advanced research and innovation.

How do Bioinformatics Data Analysts typically collaborate with researchers and other team members in a multidisciplinary environment?

Bioinformatics Data Analysts often work closely with biologists, clinicians, and software engineers, acting as a bridge between experimental research and computational analysis. Collaboration usually involves interpreting experimental data, discussing analytical approaches, and presenting findings in a way that's accessible to non-technical stakeholders. Regular team meetings and project updates are common, and strong communication skills are essential for translating complex data insights into actionable information for the broader research team. This multidisciplinary teamwork fosters innovation and ensures that analyses align with the goals of larger research projects.

What are Bioinformatics Data Analysts?

Bioinformatics Data Analysts are professionals who use computational tools and methods to analyze biological data, such as genomic sequences or protein structures. They work at the intersection of biology, computer science, and statistics to interpret complex datasets and draw meaningful insights for research or clinical applications. Their work supports areas like drug discovery, personalized medicine, and evolutionary biology. Typically, they collaborate with biologists, software engineers, and statisticians to solve complex biological problems. Strong analytical skills and proficiency with data analysis software are essential for this role.
What are popular job titles related to Bioinformatics Data Analyst jobs in Spring, TX? For Bioinformatics Data Analyst jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Data Analyst jobs in Spring, TX look for? The top searched job categories for Bioinformatics Data Analyst jobs in Spring, TX are:
What cities near Spring, TX are hiring for Bioinformatics Data Analyst jobs? Cities near Spring, TX with the most Bioinformatics Data Analyst job openings:
Postdoctoral Fellow - Epidemiology

Postdoctoral Fellow - Epidemiology

MD Anderson

Houston, TX • On-site, Remote

$64K - $76K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 15 days ago


MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 164 frontline employees who took The Breakroom Quiz

34th of 870 rated healthcare providers


Job description

Fully funded, full-time postdoctoral fellow positions are available in the Department of Epidemiology at The University of Texas MD Anderson Cancer Center.
We are seeking highly talented and motivated postdoctoral fellows with a strong background in epidemiology, computational biology, bioinformatics, or microbiology and a research interest in cancer prevention and management. The position will focus on conducting microbiome research (shotgun metagenomics and 16S rRNA), with particular emphasis on the interplay between diet (i.e., precision nutrition), the gut microbiome, and cancer. Fellows will also gain experience in computational methods and nutritional/cancer epidemiology.
The ideal applicant will be prepared to lead one or more projects under the direct guidance of the principal investigator (PI), Dr. Hanseul Kim, with the goal of producing first-author publications. Responsibilities include preparing microbiome datasets, conducting bioinformatics analyses, interpreting data, and developing presentations of results for publications and scientific conferences.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
• Implement and apply quantitative methods for analyzing epidemiologic and multi-omic data
• Intellectually lead and develop research findings into peer-reviewed manuscripts
• Present and communicate results to group members, collaborators, and other local, national, and international scientific audiences
• Assist with other research-related tasks as needed
• Once well integrated, postdoctoral scholars are strongly encouraged to propose and develop independent research topics
ELIGIBILITY REQUIREMENTS
• Ph.D. (or equivalent) degree in epidemiology, bioinformatics, biostatistics, computational biology, public health, microbiology, or related fields, or M.D. with significant (>2 years) prior research experience. Prior investigative work in the human microbiome research is strongly preferred
• Programming skills (R, SAS, or Python) are required, preferably in a cluster computing environment
• Early and promising track record of original investigative work (e.g., prior publications and conference presentations)
• Excellent written and oral communication skills
• The ability to work well in a team and to manage multiple research projects simultaneously
Candidate must be self-motivated, independent, and comfortable seeking and incorporating feedback from a large, multi-disciplinary team of colleagues.
ADDITIONAL APPLICATION INFORMATION
Prospective start date is flexible (e.g., immediate vs. summer 2026).
In addition to submitting the application, please email the following materials to PI Hanseul Kim (hkim14@mdanderson.org):
• CV/resume
• A statement (no more than 3 pages) with a description of background, interest in the position, relevant coursework or coding experience, prior research or data analysis experience, and career or academic goals
• Names and email addresses of 3 references
POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

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