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Bioinformatics Data Analyst Jobs in Rhode Island

This position exists to advance ongoing funded research by analyzing experimental and clinical data ... Apply statistical, computational and bioinformatic methods to analyze experimental and clinical ...

Research Assistant

Providence, RI · On-site

$41K - $68K/yr

This position exists to advance ongoing funded research by analyzing experimental and clinical data ... Apply statistical, computational and bioinformatic methods to analyze experimental and clinical ...

Conducts experiments and analyses according to established protocols and research methodology ... Collects and analyzes data using bioinformatic, phylogenetic and statistical methodologies and ...

... analyzes data using bioinformatic, phylogenetic and statistical methodology; executes existing ... Conducts experiments and analyses according to established protocols and research methodology ...

... analyzes data using bioinformatic, phylogenetic and statistical methodology; executes existing ... Conducts experiments and analyses according to established protocols and research methodology ...

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Bioinformatics Data Analyst information

See Rhode Island salary details

$6

$44

$80

How much do bioinformatics data analyst jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for bioinformatics data analyst in Rhode Island is $44.87, according to ZipRecruiter salary data. Most workers in this role earn between $35.29 and $48.03 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 Rhode Island? For Bioinformatics Data Analyst jobs in Rhode Island, the most frequently searched job titles are:
What cities in Rhode Island are hiring for Bioinformatics Data Analyst jobs? Cities in Rhode Island with the most Bioinformatics Data Analyst job openings:
Infographic showing various Bioinformatics Data Analyst job openings in Rhode Island as of July 2026, with employment types broken down into 66% Full Time, 10% Part Time, and 24% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $93,336 per year, or $44.9 per hour.

$41K - $68K/mo

Full-time

Re-posted 23 days ago


Brown University Health rating

6.8

Company rating: 6.8 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

492nd of 887 rated healthcare providers


Job description

SUMMARY:
The Research Assistant supports laboratory-based brain tumor research within the Department of Neurosurgery by conducting statistical programming, multi-omics and epigenetic data analysis, computational analysis and machine learning of human and patient-derived cells, tissues, images and analyzing their responses to drug and radiation treatments. The role includes performing statistical analysis, transcriptomic analysis, stochastic or mechanistic simulation modeling, computational imaging analysis, machine learning, and prepare figures, technical reports, and manuscripts for publication and presentation. This position exists to advance ongoing funded research by analyzing experimental and clinical data and supporting the laboratory’s scientific and scholarly activities.


Brown University Health employees are expected to successfully role model the organization's values of Compassion, Accountability, Respect, and Excellence as these values guide our everyday actions with patients, customers and one another.
In addition to our values, all employees are expected to demonstrate the core Success Factors which tell us how we work together and how we get things done. The core Success Factors include:
Instill Trust and Value Differences
Patient and Community Focus and Collaborate
RESPONSIBILITIES:


Conduct laboratory research activities involving human and patient-derived cell cultures to support ongoing neuroscience and brain tumor studies.


Perform experimental procedures using microscopic imaging, proliferation, and migration assays to generate data for biomedical research projects.


Prepare biological samples and execute molecular analyses, including immunostaining, western blotting, and RNA sequencing workflows.


Apply statistical, computational and bioinformatic methods to analyze experimental and clinical datasets related to cell growth, treatment response, and gene expression.


Perform bulk and single-cell RNA-seq and analysis.


Perform spatial transcriptomic analysis.


Develop and apply stochastic and mechanistic modeling.


Develop and apply machine learning tools to analysis genomic and MRI datasets. Assist in the design and implementation of computational and experimental protocols to support laboratory research objectives and funded study aims.


Maintain laboratory materials, biomaterials, and substrates to ensure readiness for experimental use and research continuity.


Participate in departmental and academic research activities to contribute to collaborative scientific initiatives within Neurosurgery and affiliated programs.


Performs other duties as assigned.


MINIMUM QUALIFICATIONS:
BASIC KNOWLEDGE:


Minimum qualifications include a Bachelor’s degree in Biology, Biophysics, Biomedical Engineering, Bioinformatics, Statistics, Computer Science, or a related field. A Master’s degree or equivalent advanced training in a relevant discipline may also be considered. No specific licensure, registration, or professional certification is required for this position.


EXPERIENCE:


Candidates should have at least two years of relevant laboratory research experience in a biomedical, biological sciences, or related research environment, which may include academic laboratory training obtained during undergraduate or graduate study. Experience should include hands-on work with cell culture techniques, basic molecular or imaging assays, statistical and bioinformatic analysis, machine learning or computational modeling. Applicants must demonstrate the ability to follow and execute experimental and computational protocols, maintain accurate research documentation, and communicate effectively in English, both orally and in writing. Basic computational, statistical, or programming skills, along with the ability to work collaboratively in a research team environment, are required.

Pay Range:

$41,537.60-$68,556.80

EEO Statement:

Brown University Health is committed to providing equal employment opportunities and maintaining a work environment free from all forms of unlawful discrimination and harassment.


Location:

Rhode Island Hospital - 593 Eddy Street Providence, Rhode Island 02903

Work Type:

8-5

Work Shift:

Day

Daily Hours: 

8 hours

Driving Required:

No

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