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Freelance Bioinformatics Machine Learning Jobs in Arkansas

Uasys

Graduate Assistant - Bioinformatics

Little Rock, AR · On-site

$1.5K/mo

... Bioinformatics program. This is an on campus appointment. This position is governed by state and ... Statistics, Data Mining, and Machine Learning; * Knowledge of genetics and cell biology. Additional ...

Ohio State University

... edge bioinformatics and machine learning approaches. We embrace a multipronged strategy to expedite the discovery of effective therapeutic interventions. We achieve these goals through ...

Uasys

IFSC Graduate Assistant

Little Rock, AR · On-site

MS or PhD in Bioinformatics; * MS in Information Science or PhD in CIS Information Science; * MS in ... Data Wrangling, Statistics, Data Mining, and Machine Learning; Job Duties and Responsibilities:

All JobsBioinformatics Machine Learning JobsFreelance Bioinformatics Machine Learning JobsFreelance Bioinformatics Machine Learning Jobs in Arkansas

Freelance Bioinformatics Machine Learning information

What does a freelance bioinformatics machine learning specialist do?

A Freelance Bioinformatics Machine Learning specialist applies machine learning techniques to analyze biological data, such as genomics, proteomics, and medical records, on a project-by-project basis. They typically work independently with research labs, biotech companies, or healthcare organizations to develop algorithms, build predictive models, and interpret complex biological datasets. Their work helps drive insights in areas like drug discovery, personalized medicine, and disease prediction, often leveraging tools like Python, R, and specialized bioinformatics software. As freelancers, they have the flexibility to choose projects, set their schedules, and work remotely.

What are the key skills and qualifications needed to thrive as a freelance bioinformatics machine learning specialist?

To thrive as a Freelance Bioinformatics Machine Learning Specialist, you need a strong background in biology, statistics, and programming (such as Python or R), typically supported by a relevant degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (e.g., BLAST, Bioconductor), machine learning libraries (scikit-learn, TensorFlow), and experience with cloud computing platforms are highly valuable. Strong problem-solving, communication, and project management skills help distinguish top freelancers in this field. These capabilities are crucial for independently delivering accurate, actionable biological insights to clients and efficiently managing multiple projects.

What are some common challenges freelance bioinformatics machine learning professionals face when working with multiple clients?

Freelance bioinformatics machine learning professionals often encounter challenges such as managing diverse data formats, aligning project expectations, and ensuring data privacy across multiple clients. Each client may have unique datasets, varying levels of documentation, and different computational infrastructure, requiring adaptability and strong communication skills. Balancing multiple deadlines and maintaining clear, consistent reporting are also important to foster trust and long-term collaborations.

What is the difference between Freelance Bioinformatics Machine Learning vs Freelance Data Scientist?

AspectFreelance Bioinformatics Machine LearningFreelance Data Scientist
CredentialsBackground in bioinformatics, biology, or related fields; knowledge of machine learningBackground in statistics, computer science, or related fields; strong programming skills
Work EnvironmentResearch labs, biotech companies, academic projects, freelance consultingVarious industries including finance, tech, healthcare, consulting
Industry UsagePrimarily biotech, healthcare, genomics, pharmaceutical sectorsBroad industry application including finance, marketing, tech, healthcare

Freelance Bioinformatics Machine Learning specialists focus on applying machine learning techniques to biological data, often working within biotech and healthcare sectors. In contrast, Freelance Data Scientists have a broader scope, working across multiple industries with diverse datasets. Both roles require strong analytical skills and programming expertise, but their industry focus and domain knowledge differ significantly.

What are popular job titles related to Freelance Bioinformatics Machine Learning jobs in Arkansas?

For Freelance Bioinformatics Machine Learning jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching Freelance Bioinformatics Machine Learning jobs in Arkansas look for?

The top searched job categories for Freelance Bioinformatics Machine Learning jobs in Arkansas are:

What cities in Arkansas are hiring for Freelance Bioinformatics Machine Learning jobs?

Cities in Arkansas with the most Freelance Bioinformatics Machine Learning job openings:

Freelance Bioinformatics Machine Learning jobs near you
Infographic showing various Freelance Bioinformatics Machine Learning job openings in Arkansas as of August 2026, with employment types broken down into 62% Full Time, 25% Part Time, and 13% Contract. Highlights an 62% In-person, and 38% Remote job distribution.

Graduate Assistant - Bioinformatics

Uasys

Little Rock, AR • On-site

$1.5K/mo

Part-time

Re-posted 8 days ago

Job description

Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com, then access Find Jobs from the Workday search bar to view and apply for open positions. Students at University of Arkansas System two-year institutions will also view open positions and apply within Workday by searching for "Find Jobs for Students".
All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated).
If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.


Closing Date:


Type of Position:Graduate Assistant


Workstudy Position:

No
Job Type:Academic Term (Fixed Term)

Work Shift:


Sponsorship Available:

No
Institution Name: University of Arkansas at Little Rock

The University of Arkansas at Little Rock is a metropolitan research university that provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be innovators and responsible leaders in their fields. Committed to its metropolitan research university mission, UA Little Rock is a driving force in Little Rock's thriving cultural community and a major component of the city and state's growing profile as a regional leader in research, technology transfer, economic development, and job creation.

Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click theApply link/button.

If you have a disability and need assistance with the hiring process please contact Human Resources at 501-916-3180.

For general application assistance or if you have questions about a job posting, please contact Human Resources at 501-916-3180.


Department:STEM GAs


Department's Website:


Summary of Job Duties:The Department of Information Science at the University of Arkansas at Little Rock is seeking an individual to serve as a Graduate Assistant (GA) in our graduate Bioinformatics program. This is an on campus appointment. This position is governed by state and federal laws, and agency/institution policy.
Qualifications:

Required Education and/or Experience:

  • Bachelor's Degree from an accredited institution of higher education;

  • Regular admission to a UA Little Rock graduate degree program or good standing with the UA Little Rock Graduate School for continuing graduate students;

  • Ability to work the required hours (FT-50% - 20 hours per week/PT-25% - 10 hours per week) with regular attendance.

Job Duties and Responsibilities:

  • Perform tasks and assist faculty members in research activities for a designated project;

  • Assist in the collection of data and/or conduct independent research specific to the research project;

  • Perform development work for the project. Depending on the needs of the project, development work could include training, statistical analysis, data mining, machine learning, programming, database, web design and development, system analysis, or network administration;

  • Conduct testing, implementation, and evaluation of project deliverables;

  • Coordinate project meetings and lead project discussions;

  • Prepares reports and publications as needed;

  • Assist in other specialized administrative, technical, or editorial duties connect to the research project.

Knowledge, Skills, and Abilities:

  • Skill in organizing resources and establishing priorities;

  • Skill in planning, organization, coordination of activities;

  • Skill in establishing and maintain effective working relationships;

  • Skills in both verbal and written communication;

  • Skill in the use of personal computer and related software applications;

  • Programming in languages such as Python or Java for Desktop, Server Side Web Apps, or Cloud;

  • Web Design and Development Skills involving HTML, CSS, and Javascript;

  • Database Development and Writing SQL Queries (Oracle, MS SQL Server);

  • Statistics, Data Mining, and Machine Learning;

  • Knowledge of genetics and cell biology.


Additional Information:


Salary Information:

$1500 stipend per month


Required Documents to Apply:

Resume


Optional Documents:


Special Instructions to Applicants:


Recruitment Contact Information:

Brian Butler bsbutler2@ualr.edu
Graduate Student Support Specialist


All application materials must be uploaded to the University of Arkansas System Career Sitehttps://uasys.wd5.myworkdayjobs.com/UASYS

Please do not send to listed recruitment contact.


Pre-employment Screening Requirements:No Background Check Required

The University of Arkansas at Little Rock is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry (MVR) check, and/or drug screening. Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.

The University of Arkansas is an equal opportunity institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of any category or status protected by law, including age, race, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual preference, or pregnancy. Federal law prohibits the University from discriminating on these bases. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights.

Persons must have proof of legal authority to work in the United States on the first day of employment.

All application information is subject to public disclosure under the Arkansas Freedom of Information Act.

Constant Physical Activity:Manipulate items with fingers, including keyboarding
Frequent Physical Activity:Sitting, Talking
Occasional Physical Activity:Walking
Benefits Eligible:No

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