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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 ...

kgs

AI/ML Engineer

Huntsville, AL · On-site

Bachelor's degree in Artificial Intelligence, Machine Learning, Computer Science, Data Science ... technical role (internship and academic project experience considered) Technical Skills:

Koniag, Inc.

AI/ML Engineer

Huntsville, AL · On-site

$100K - $130K/yr

Bachelor's degree in Artificial Intelligence, Machine Learning, Computer Science, Data Science ... technical role (internship and academic project experience considered) Technical Skills:

kgs

AI/ML Engineer

Huntsville, AL

Bachelor's degree in Artificial Intelligence, Machine Learning, Computer Science, Data Science ... technical role (internship and academic project experience considered) Technical Skills:

IGNITE

AI/ML SOFTWARE ENGINEER

Huntsville, AL · On-site

... Machine Learning, Computer Science, Data Science, Software Engineering, or a closely related ... technical role (internship and academic project experience considered) Technical Skills • ...

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

$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

... 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:
What job categories do people searching Bioinformatics Machine Learning Internship jobs in Alabama look for? The top searched job categories for Bioinformatics Machine Learning Internship jobs in Alabama are:
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 - Hydrologic Modeling - 529563

Postdoctoral Fellow - Hydrologic Modeling - 529563

University of Alabama

Tuscaloosa, AL • On-site

$53K - $66K/yr

Full-time

Posted yesterday

Key responsibilities

  • Support a project enhancing the integration of artificial intelligence techniques and remote sensing data pipelines into hydrologic modeling as part of the development of the Next Generation Water Resources Modeling Framework.

  • Collaborate with the CIROH research team and scientists at the National Water Center.

  • Continue scholarly activity and research under the direction of a senior faculty member who serves as a mentor.

University Of Alabama rating

7.0

Company rating: 7.0 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

355th of 541 rated colleges and universities

Job description

Pay Grade/Pay Range: Minimum: $53,500 - Midpoint: $66,900 (Salaried E8)
Department/Organization: 750501 - Alabama Water Institute (AWI)
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 Alabama Water Institute (AWI) at University of Alabama seeks applications for a postdoctoral researcher for a NOAA-funded project. This position be embedded in the Alabama Water Institute in the Cooperative Institute for Research to Operations in Hydrology (CIROH). This position will support a project that is enhancing the integration of artificial intelligence techniques and remote sensing data pipelines into hydrologic modeling as part of the development of the Next Generation Water Resources Modeling Framework (NextGen). Collaborates with the CIROH research team and scientists at the National Water Center.
Initial appointment will be for one year. Renewal will be contingent upon demonstrated research productivity and availability of funds up to a period of three years.
Required Department Minimum Qualifications: Ph.D. in applied hydrology, civil engineering, computer science, geoscience, or a closely related field.
Candidates will need to have completed their Ph.D. or have it completed by the start of employment.
Skills and Knowledge: Strong interest in (or be already skilled in) the development and application of hydrologic models. Strong interpersonal skills to facilitate effective collaboration with academics, scientists, practitioners, and students. Outstanding capabilities in personal responsibility, taking initiative, innovative thinking, and communication proficiency.
Preferred Qualifications: Knowledge and experience in artificial intelligence and machine learning techniques and at least two of the following: large-domain hydrologic modeling, computer programming and open software development, high-performance computing, and research studies applying hydrologic models.
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.

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