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Bioinformatics Machine Learning Internship Jobs in Alabama

UAB NOVA RENT

SCIENTIST III

Birmingham, AL · On-site

... interns toward achieving lab and project goals. * Funding Opportunities: Identifying and ... AI/ML Expertise: Deep proficiency with modern machine learning, including deep learning ...

Athens State University

Career Specialist

Athens, AL · On-site

... learning opportunities, and successful transitions into internships and employment. WHY ATHENS ... Frequently uses hands/fingers to operate a computer and other office productivity machinery, such ...

J.M. Smucker Company

Controls Engineering Leader

Mccalla, AL · On-site

$75K - $97K/yr

... machine control onboarding and ongoing development systems for plant Process Engineers, Interns and ... Experience learning and integrating new technologies * Experience leading the installation of ...

Ossur

Business Development Manager

Mobile, AL · On-site

... learning, training, and language courses * A "you" culture where everyone-from interns to ... fax machines. Operation of a vehicle. The employee is regularly required to talk or hear. The ...

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Bioinformatics Machine Learning Internship information

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 Alabama? The most popular types of Bioinformatics Machine Learning jobs in Alabama are:
What are popular job titles related to Bioinformatics Machine Learning Internship jobs in Alabama? For Bioinformatics Machine Learning Internship jobs in Alabama, the most frequently searched job titles are:
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What cities in Alabama are hiring for Bioinformatics Machine Learning Internship jobs? Cities in Alabama with the most Bioinformatics Machine Learning Internship job openings:
Bioinformatics Machine Learning Internship jobs near you

Postdoctoral Fellow - 530119

The University of Alabama

Tuscaloosa, AL • On-site

$53K - $66K/yr

Full-time

Posted 12 days ago

University Of Alabama rating

7.1

Company rating: 7.1 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

409th of 617 rated colleges and universities

Job description

Postdoctoral Fellow - 530119
Job no: 530119
Work type: Regular Full-time (Benefits eligible)
Location: Tuscaloosa
Categories: Engineering/Computer Science, Research/Scientific
Pay Grade/Pay Range: Minimum: $53,500 - Midpoint: $66,900 (Salaried E8)
Department/Organization: 214251 - Electrical and Computer Eng
Normal Work Schedule: Monday - Friday 8:00am to 5:00pm
Job Summary: The Postdoctoral Fellow provides for an internship and continuation of scholarly activity and research after achieving the PhD or other doctoral degree under the direction of a senior faculty member who serves as a mentor for the postdoctoral appointee.
Additional Department Summary: The Department of Electrical and Computer Engineering at The University of Alabama is seeking candidates for a Postdoctoral position. Research interests and experience in the areas of power electronics, controls systems, and battery management systems.
Successful candidates will hold a Ph.D. degree in Electrical or Computer Engineering or a related field and demonstrate a record of academic achievement in research. Initial appointments are for one year, with renewal contingent availability of funding.
Required Department Minimum Qualifications: Ph.D. in Electrical and Computer Engineering or related field.
Candidates will need to have completed their Ph.D. or have it completed by the start of employment.
Skills and Knowledge: Strong knowledge and hands-on experience in power electronics, control systems, and battery management systems, including the design, development, testing, and validation of power electronic hardware (e.g., DC/DC converters, high-power systems, and electric vehicle applications). Experience with laboratory experimentation, hardware prototyping, system integration, instrumentation, and real-time control implementation is required.
Demonstrated ability to develop and validate control algorithms, perform data acquisition and analysis, and work with embedded systems and digital controllers. Familiarity with modeling, simulation, and experimental validation of energy systems is expected.
Preferred Qualifications: Experience with artificial intelligence and machine learning for energy systems, including data-driven modeling, real-time inference, and integration of AI with control systems. Familiarity with training, validation, and deployment of AI models (e.g., for SoC/SoH estimation, power allocation, or scheduling) is highly desired. Knowledge of robustness, uncertainty quantification, and basic cybersecurity considerations (e.g., data integrity, adversarial inputs, and secure control pipelines) in AI-enabled control systems is a plus.
Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background investigation and information obtained from social media and other internet sources. A prior conviction reported as a result of the background investigation DOES NOT automatically disqualify a candidate from consideration for this position. A candidate with a prior conviction or negative behavioral red flags will receive an individualized review of the prior conviction or negative behavioral red flags before a hiring decision is made.
Equal Employment Opportunity: The University of Alabama is an Equal Employment/Equal Educational Opportunity Institution. All qualified applicants will receive consideration for employment or volunteer status without regard to any legally protected basis and will not be discriminated against because of their protected status. Applicants and employees of this institution are protected under Federal law from discrimination on several bases. More information is available in the EEOC's Know Your Rights: Workplace discrimination is illegal poster.
The University of Alabama affirms its longstanding commitment to institutional neutrality, free speech, and academic freedom.
Advertised: 30 Jul 2026 Central Daylight Time
Applications close: 30 Aug 2026 Central Daylight Time

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