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Bioinformatics Machine Learning Internship Jobs in Atlanta, GA

Agentic AI Engineer

Atlanta, GA

$110K - $132K/yr

... or internship experience in machine learning, AI, or data-driven projects. • Solid understanding of algorithms, data structures, and machine learning concepts. • Experience with data ...

... machine learning and artificial intelligence • Communicate complex data insights and findings to non-technical stakeholders through visualizations and presentations. • Mentor and guide interns on ...

... machine learning and artificial intelligence · Communicate complex data insights and findings to non-technical stakeholders through visualizations and presentations. · Mentor and guide interns on ...

... machine learning and artificial intelligence · Communicate complex data insights and findings to non-technical stakeholders through visualizations and presentations. · Mentor and guide interns on ...

Deploy machine learning models and ensure their effective integration into existing systems ... Experience mentoring junior colleagues and interns.

Strong internship, research, or academic project work is welcome in place of full-time experience. * Hands-on experience building AI or machine learning solutions, including work with large language ...

... or internships * Interest, coursework, or experience in Computer Science, Information Technology ... Familiarity with AI and Machine Learning concepts and techniques * Experience with or exposure to ...

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Bioinformatics Machine Learning Internship information

See Atlanta, GA salary details

$24.5K

$41K

$84.6K

How much do bioinformatics machine learning internship jobs pay per year?

As of Jun 17, 2026, the average yearly pay for bioinformatics machine learning internship in Atlanta, GA is $40,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,300.00 and $44,200.00 per year, depending on experience, location, and employer.

What is a Bioinformatics Machine Learning Internship?

A Bioinformatics Machine Learning Internship is a temporary position, usually for students or recent graduates, where interns gain hands-on experience applying machine learning techniques to biological data. Interns may work on projects like analyzing genomic sequences, predicting protein structure, or developing algorithms for biomedical research. The role involves coding, data analysis, and collaborating with scientists to solve real-world biological problems. It offers exposure to both computational methods and biological sciences, preparing interns for careers in bioinformatics, data science, or research.

What are the key skills and qualifications needed to thrive as a Bioinformatics Machine Learning Intern, and why are they important?

To thrive as a Bioinformatics Machine Learning Intern, you need a solid background in biology, statistics, and computer science, typically supported by relevant coursework or a degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using bioinformatics tools (e.g., BLAST, Bioconductor), and knowledge of machine learning frameworks such as TensorFlow or scikit-learn are highly valued. Attention to detail, problem-solving skills, and effective communication help interns collaborate on interdisciplinary teams and interpret complex datasets. These skills ensure interns can contribute meaningfully to research projects, derive insights from biological data, and communicate findings clearly.

What are some typical projects or tasks a Bioinformatics Machine Learning Intern might work on during their internship?

As a Bioinformatics Machine Learning Intern, you'll often contribute to projects that involve developing and testing algorithms for analyzing biological data, such as genomic sequences or protein structures. Typical tasks may include preprocessing large datasets, implementing machine learning models to identify patterns or make predictions, and visualizing results for team discussions. Interns frequently collaborate with both computational scientists and experimental biologists, gaining exposure to interdisciplinary teamwork and real-world applications. This hands-on experience helps interns build both technical and domain-specific skills, preparing them for advanced roles in bioinformatics or data science.

What is the difference between Bioinformatics Machine Learning Internship vs Bioinformatics Data Analyst Internship?

AspectBioinformatics Machine Learning InternshipBioinformatics Data Analyst Internship
Required SkillsProgramming, machine learning, bioinformatics toolsData analysis, statistical skills, bioinformatics tools
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch labs, healthcare, biotech firms
Industry UsageDeveloping algorithms, predictive models in bioinformaticsAnalyzing biological data, generating reports

While both internships involve bioinformatics, the Bioinformatics Machine Learning Internship focuses on developing machine learning models and algorithms, whereas the Bioinformatics Data Analyst Internship emphasizes analyzing biological data and generating insights. Both roles require programming and bioinformatics skills but differ in their core focus and application.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Atlanta, GA? The most popular types of Bioinformatics Machine Learning jobs in Atlanta, GA are:
What job categories do people searching Bioinformatics Machine Learning Internship jobs in Atlanta, GA look for? The top searched job categories for Bioinformatics Machine Learning Internship jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Bioinformatics Machine Learning Internship jobs? Cities near Atlanta, GA with the most Bioinformatics Machine Learning Internship job openings:
Infographic showing various Bioinformatics Machine Learning Internship job openings in Atlanta, GA as of June 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution, with an average salary of $40,951 per year, or $19.7 per hour.
Post Doctoral Fellow - Researcher in Causal Inference

Post Doctoral Fellow - Researcher in Causal Inference

Emory University

Atlanta, GA

$47K - $64K/yr

Full-time

Posted 10 days ago


Emory Healthcare rating

7.7

Company rating: 7.7 out of 10

Based on 210 frontline employees who took The Breakroom Quiz

159th of 872 rated healthcare providers


Job description

Discover Your Career at Emory University

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.

Description

The Department of Biostatistics and Bioinformatics in the Rollins School of Public Health provides a supportive environment for postdoctoral scholars, offering access to mentoring, career development programming, and resources for professional growth. The postdoctoral researcher will have flexibility to develop their own research directions while benefiting from collaboration, computational support, and opportunities to participate in departmental seminars, working groups, and interdisciplinary research activities. This position is well suited for individuals preparing for academic careers in statistics, biostatistics, machine learning, or related fields. The postdoctoral researcher will be supervised by Dr. Razieh Nabi. For inquiries, please contact razieh.nabi@emory.edu . 

JOB DESCRIPTION: We are seeking a Postdoctoral Researcher to contribute to both methodological and applied research in causal inference. The successful candidate will work on statistical and machine learning approaches for understanding causal relationships in complex data, with opportunities to pursue independent research as well as collaborative projects within the group.The position emphasizes methodological innovation in modern causal inference, while also engaging with applications in areas such as infectious diseases, environmental health, and public health that help motivate and shape the research. Potential topics include causal effect estimation, mediation analysis, longitudinal or observational data structures, policy learning, and methods for informative censoring and missing data. Methodological work may draw on tools from nonparametric and semiparametric inference, machine learning, graphical models, and related areas. The researcher will have flexibility to develop a research agenda that aligns with their interests and expertise.Responsibilities include conducting original research, preparing manuscripts for publication, presenting findings at conferences or seminars, and participating in collaborative activities within the research group or with external partners. The postdoc will also have opportunities to mentor students and to engage in broader scholarly activities that support their professional development.This position is well suited for a researcher interested in advancing the theory or practice of causal inference, building a strong publication record, and working in a supportive and collaborative academic environment.MINIMUM QUALIFICATIONS:

  • A doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field.
  • Excellent scientific writing ability and strong oral communication skills.
  • The ability to work effectively and collegially with colleagues.
  • Additional qualifications as specified by the Principal Investigator.

PREFERRED QUALIFICATIONS: 

  • PhD in Statistics, Biostatistics, Computer Science, Economics, or a related quantitative field.
  • Strong background in causal inference, statistical methodology, or machine learning.
  • Experience with nonparametric or semiparametric inference, graphical models, or high dimensional methods.
  • Familiarity with handling missing data, censoring, or longitudinal/observational data.
  • Demonstrated ability to conduct independent research and contribute to collaborative projects.
  • Strong programming skills, and experience with reproducible research.
  • Strong communication skills and a record of (or potential for) peer reviewed publications.

NOTE: Position tasks are generally required to be performed in-person at an Emory University location.  Remote work from home day options may be granted at department discretion. Emory reserves the right to change remote work status with notice to employee.

Additional Details

Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).

Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.

Employment Type: FULL_TIME

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