Explore 4 junior python developer jobs from 2 hiring companies in Bronson, FL, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Junior Python Developer Jobs

UF Health

University of Florida

Onsite

Classification Title:

Post-Doctoral Associate in unsupervised and generative ML for chemistry 



Classification Minimum Requirements:

PhD in Chemistry or related area
Strong coding (Python) and algorithm design skills
Expertise on ML tools for chemistry, in particular, generative AI
Experience with Python, ML, and AI for chemical applications



Job Description:

A Post-doctoral Associate in Theoretical Chemistry is available for work on a project in unsupervised and generative ML for chemical applications led by Dr. Ramon Miranda Quintana in the Department of Chemistry. We have a position available in our group to work on the development, implementation, and application of hyper-efficient unsupervised learning techniques to chemical problems, with emphasis on improvements to representation learning and generative methods. 
Must have PhD in Chemistry or related area. This position will be initially awarded for one year, and, contingent upon strong performance and conduct and availability of funds, may be renewed for up to two years. 



Expected Salary:

The salary is competitive and commensurate with qualifications and experience, and the compensation includes a full benefits package. To see more, visit <a href="benefits.hr.ufl.edu">benefits.hr.ufl.edu</a>. 



Required Qualifications:

PhD in Chemistry or related area
Strong coding (Python) and algorithm design skills
Expertise on ML tools for chemistry, in particular, generative AI
Experience with Python, ML, and AI for chemical applications



Preferred:

Familiarity with HPC systems
Proven track record of research in ML/AI for chemistry
Strong coding foundation (Python)
Knowledge of C++ and CUDA


Special Instructions to Applicants:

For full consideration, applications must be submitted online. Click on Apply Now at the top of this posting. 
A complete application includes (1) a letter of application summarizing the applicant's qualifications, interests, and suitability for the position, (2) a complete curriculum vitae, (3) a list of at least two references. After initial review, letters of recommendation will be requested from the references for selected applicants. 
Applications will be reviewed beginning immediately, and the position will remain open until filled. Only complete applications will be reviewed at this time. Applications received after this date may be considered at the discretion of the committee and/or hiring authority. 
All candidates for employment are subject to a pre-employment screening which includes a review of criminal records, reference checks, and verification of education. 
The selected candidate will be required to provide an official transcript to the hiring department upon hire. A transcript will not be considered “official” if a designation of “Issued to Student” is visible. Degrees earned from an educational institution outside of the United States require evaluation by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES), which can be found at <a href="http://www.naces.org/">http://www.naces.org/</a>. 



Health Assessment Required:
No

Chemistry Post-Doctoral Associate - Unsupervised and Generative Machine Learning

Post-Doctoral Associate

PhD in Chemistry or related field; strong Python, ML/AI, and generative AI experience for chemistry; HPC familiarity preferred.

Classification Title:

Post Doctoral Associate



Job Description:

The Department of Epidemiology (<a href="http://epidemiology.phhp.ufl.edu/)">http://epidemiology.phhp.ufl.edu/)</a> is strategically situated within the College of Public Health and Health Professions (PHHP) and the College of Medicine. Faculty members are jointly appointed to create synergies and collective strength, resulting in a competitive research profile and highly trained students who receive exceptional exposure to a variety of expertise. Our faculty and students have received numerous national awards in research and mentoring and are committed to excellence in training. The department offers an epidemiology PhD, Master of Science, and concentration in the MPH program. It is also home to two National Institutes of Health Training grants (T32). Faculty members are strongly supported by our college-level instructional design team for course development and delivery and by our research core for grant development and submission.
Dr. Jinling Liu’s laboratory (<a href="https://phhp.ufl.edu/profile/liu-jinling/">https://phhp.ufl.edu/profile/liu-jinling/</a><a href="https://phhp.ufl.edu/profile/liu-jinling/">)</a> at the University of Florida's Department of Epidemiology and The Cener for Genetic Epidemiology and Bioinformatics (GeneBio; <a href="https://genebio.phhp.ufl.edu/">https://genebio.phhp.ufl.edu/</a>) is accepting applications for 1-2 fully-funded postdoctoral associate positions, starting immediately. Dr. Liu has extensive experience in big data analytics, systems biology, probabilistic graphical models, causal inference and machine learning. Dr. Liu's research interests lie in modeling the rapidly-accumulating big data (e.g., muti-omics) in biology and medicine for precision medicine via a variety of statistical and machine learning techniques – one of her projects along these lines has been recently funded by a prestigious NIH Career Development Award for young investigators. She is committed to advancing precision medicine through her work. She is also collaborating with researchers in other domains for data analytics and decision making.
Liu lab has access to rich high-dimensional multi-omics data, including WGS, WES, DNA methylation, RNA-seq, proteomics, lipidomics and metabolomics in large-scale human populations. The lab is interested in integrating and mining the different types of data to understand the genomic causes and other biomarkers as well as the underlying signaling network for a variety of diseases including aging, cardiovascular diseases, brain diseases, cancer, et al., through novel statistical or deep learning methods development and application. The postdoc associates will be exposed to rich multi-omics data, a variety of diseases, advanced statistical and machine learning methods and wide collaborations with experts from different fields. Key responsibilities for the postdoctoral associates include multi-omics data analysis, novel method development and application, manuscript writing, research presentation at conferences, and assistance with grant applications and student mentoring.
Additional Information: The University of Florida (<a href="http://www.ufl.edu/">www.ufl.edu</a>) is a comprehensive research-extensive university that includes a full range of academic departments and programs. The College of Public Health and Health Professions (<a href="http://www.phhp.ufl.edu/">www.phhp.ufl.edu</a>) is part of the University’s Health Science Center.  The UF Health Science Center (<a href="https://ufhealth.org/about-us">https://ufhealth.org/about-us</a>) is comprised of six health-related colleges located on a single, contiguous campus. They include the colleges of Dentistry, Medicine, Nursing, Pharmacy, Public Health and Health Professions, and Veterinary Medicine.  The Health Science Center also partners with the immediately adjacent UF Health Shands Hospital, the Malcom Randall VA Medical Center, and the UF Health Science Center Regional campus located in Jacksonville, FL. Additional major institutes and centers located at the University of Florida include the Emerging Pathogens Institute, the Institute of Child Health Policy, the UF Health Cancer Center, the UF Genetics Institute, the Clinical and Transactional Science Institute and the McKnight Brain Institute, all of which provide state-of-the-art environments and access to large data sets for faculty collaboration.



Expected Salary:

$62,232 annually; commensurate with experience level and in accordance with current NIH postdoctoral salary guidelines.
Postdoctoral associates are eligible for comprehensive health and leave benefits and have access to libraries and other research resources available for faculty and postdoctoral associates. Additionally, postdoctoral trainees may receive funds each training year to support professional development (e.g., travel to workshops or national conferences, purchase of education materials).



Minimum Requirements:

PhD degree in computer science, statistics, biostatistics, biomedical informatics or related fields OR a PhD degree in biology or related fields.



Preferred Qualifications:

A strong background in programming (e.g., Python or R or C++) is essential. Research experience utilizing skills of programming, statistics, and AI are essential. The ideal candidate should demonstrate independent and critical thinking abilities as well as good communication skills. Prior research experience in analyzing biomedical data is preferred.



Special Instructions to Applicants:

Interested applicants should submit an application, including a CV, statement of interest, and contact information for three references. Substantive queries may be addressed to Dr. Jinling Liu at <a href="mailto:jinling.liu@ufl.edu">jinling.liu@ufl.edu</a> (Assistant Professor and Principal Investigator).
Application must be submitted by 11:55 p.m. (ET) of the posting end date.
This position has been reposted; previous applicants remain under consideration and need not re-apply.
Final candidate will be required to provide official transcript to the hiring department upon hire.  A transcript will not be considered “official” if a designation of “Issued to Student” is visible.  Degrees earned from an education institution outside of the United States are required to be evaluated by a professional credentialing service provider approved by National Association of Credential Evaluation Services (NACES), which can be found at <a href="http://www.naces.org/">http://www.naces.org/</a>.
University of Florida is a member of the State University System of Florida and an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on merit.
The University of Florida is an Equal Employment Opportunity institution.  If an accommodation is needed to apply for this position, please call 352/392-2477 or the Florida Relay System at 800/955-8771 (TDD). Hiring is contingent upon eligibility to work in the U.S. Searches are conducted in accordance with Florida’s Sunshine Law. 



Health Assessment Required:
No

Post Doctoral Associate in Multi-Omics

Post Doctoral Associate

PhD in CS/statistics/biomedical informatics or biology; strong programming skills (Python, R, C++); experience with biomedical data.

Classification Title:

Postdoctoral Associate



Job Description:

The College of Journalism and Communications at the University of Florida invites applications for a Postdoctoral Scholar position. The successful candidate will collaborate with Jane Bambauer, Myiah Hutchens, and Jieun Shin on research related to news consumption and audience behavior. Responsibilities include analyzing data, drafting manuscripts, and presenting findings at academic conferences.
This project is part of a Knight Foundation-supported research initiative examining public demand for confirmatory vs. truth-seeking online information. This project seeks to identify strategies to foster a sustainable online information ecosystem by encouraging engagement with factual information and truth-seeking content.
The ideal candidates will have demonstrated experience working with large and complex datasets, including collection, management, analysis, and communication. Strong programming skills (R, Python, or similar) and a solid foundation in statistics are essential. Candidates with expertise in computational methods, econometrics, causal inference, and experimental design are encouraged to apply.
A qualified candidate must hold a doctoral degree or have completed all of the requirements for a doctorate in a related field. This position is expected to begin in Summer or Fall 2026, with some flexibility in start dates.
This is a 12-month position funded through a Knight Foundation grant to support the Research Initiative to Reduce Motivated Reasoning in News Consumption. The position is appointed yearly with the potential to be renewed for multiple years. This position is time-limited, and continuation of this appointment is contingent upon research needs and satisfactory performance.



Expected Salary:

Commensurate with experience and education



Minimum Requirements:

A qualified candidate must hold a doctoral degree or have completed all requirements for a doctorate in quantitative research methods, statistics, or a closely related field prior to commencing the position.



Preferred Qualifications:

The ideal candidates will possess expertise in one or more of the following areas:
Self-Motivated Research
The design, implementation, and presentation of results of empirical research independently.
 Data Analysis 
Cleaning, managing, and analyzing large-scale data using Stata, SPSS, R, or Python
Related Research Interests 
Econometric or theoretical study of political information, media business models, or audience analysis



Special Instructions to Applicants:

Applicants must submit the following materials:
<ul>
<li>A cover letter addressing the required qualifications and your preferred start date.</li>
<li>A current CV.</li>
<li>Contact information for three references (references will not be contacted until the applicant advances to a later stage of the selection process).</li>
<li>One or two examples of scholarly writing (e.g., a dissertation chapter, conference paper, or peer-reviewed journal article).</li>
</ul>
The review will begin on April 1, 2026. The position will remain open until the qualified candidate is selected. For inquiries or nominations, please email Jieun Shin at jieun.shin@ufl.edu.
Application must be submitted by 11:55 p.m. (ET) of the posting end date.
If an accommodation is needed to apply for this position, please call 352-392-2477 or the Florida Relay System at 800-955-8771 TDD. Hiring is contingent upon eligibility to work in the U.S. Searches are conducted according with Florida's Sunshine Law.



Health Assessment Required:
No

Postdoctoral Associate

PhD in quantitative research methods, statistics, or related field; strong programming (R/Python) and data analysis; experience with large datasets; ability to present findings at conferences.

Classification Title:

Graduate Internship: Human-in-the-Loop Named Entity Recognition for Biological Data Curation



Classification Minimum Requirements:
Currently enrolled in good standing in a UF graduate program. 


Job Description:

The George A. Smathers Libraries is offering a graduate internship supervised by Dr. Borui Zhang in collaboration with Dr. Jonathan Nations (Florida Museum of Natural History). The project focuses on building an open-access, machine-readable database of mammalian dietary information extracted from decades of unstructured scientific literature. It integrates text data mining, NLP pipeline engineering, and biodiversity science. The graduate intern will construct and validate ground-truth datasets for an AI-driven data extraction pipeline supporting this effort. This internship is funded through the Smathers Graduate Internship Program.
RESPONSIBILITIES
The intern will:
<ol>
<li>Use authorized APIs to identify and retrieve relevant mammalian dietary literature, with emphasis on Mammalian Species Accounts.</li>
<li>Apply the project’s NER (Named Entity Recognition) pipeline to extract consumer (mammal species) and food class entities from full-text publications.</li>
<li>Systematically validate AI-generated annotations using professional annotation tools, building a rigorously reviewed ground-truth reference dataset.</li>
<li>Meeting with the Internship Director and faculty partner weekly to resolve ambiguous cases and refine prompt strategies.</li>
<li>Assist in organizing and cleaning metadata fields, standardizing ecological data for integration into the project’s GitHub repository.</li>
<li>Prepare technical documentation summarizing inter-annotator agreement metrics, common extraction error patterns, and recommendations for prompt and pipeline refinement.</li>
<li>Deliver a final presentation to UF Libraries and Florida Museum research teams summarizing methods, findings, and lessons learned.</li>
</ol>
SCHEDULE
10 hours a week.  



Expected Salary:

$22 /hour



Required Qualifications:

<ul>
<li>Currently enrolled in good standing in a UF graduate program in Computer Science, Computational Linguistics, Information Science, Data Science, Biology/Ecology, or a closely related field.</li>
<li>Proficiency in Python for data processing, file I/O, JSON and XML parsing, pandas-style tabular manipulation, and basic scripting against REST APIs (e.g., NCBI Entrez) for literature retrieval</li>
<li>Experience with at least one NLP task: sequence labeling, entity recognition, text classification, or annotation of linguistic phenomena in real, noisy text.</li>
<li>Demonstrated ability to work independently on sustained research tasks with attention to detail and consistent documentation habits.</li>
<li>Comfort reasoning about linguistic ambiguity: you should be able to explain why a given span of text is or is not a valid entity mention and articulate the decision rule you applied.</li>
</ul>



Preferred:

<ul>
<li>Background or coursework in biology, ecology, or environmental sciences.</li>
<li>Prior experience with text annotation platform (e.g., Label Studio, Prodigy, INCEpTION, or similar platforms)</li>
<li>Familiarity with biomedical or biodiversity literature retrieval (PubMed/Entrez API, GBIF, BHL, iDigBio) or other large-scale scholarly text corpora.</li>
<li>Experience working with version control systems or structured research data repositories, comfort with JSON schema validation.</li>
<li>Exposure to transformer-based models (BERT, BioBERT, or similar): fine-tuning, inference, or attention analysis.</li>
</ul>



Special Instructions to Applicants:

In order to be considered, you must upload: 
<ol>
<li>A current CV or résumé.</li>
<li>A brief statement (300–500 words) describing: a. your experience with Python b. any prior computational annotation work in real data; and c. why the intersection of NLP and biodiversity informatics interests you.</li>
<li>Contact information for one academic or professional reference.</li>
</ol>
Application must be submitted by 11:55 p.m. (ET) of the posting end date.



Health Assessment Required:
No

Graduate Internship: Human-in-the-Loop Named Entity Recognition for Biological Data Curation

Graduate Internship

UF graduate student in CS/Computational Linguistics/Information Science/Data Science/Biology-Ecology; Python proficiency; NLP experience; independent researcher with documentation; ability to handle linguistic ambiguity.

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