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Postdoctoral Fellow Machine Learning Jobs in Godfrey, IL

Saint Louis University

Post Doctoral Fellow

Saint Louis, MO · On-site

$47K - $64K/yr

Postdoctoral Fellow - Computational Biology / Bioinformatics Focus: Multi-omics and Longitudinal ... Develop and apply statistical and machine-learning models (e.g., mixed-effects models, survival ...

McCarthy Holdings, Inc.

AI Engineer II

Saint Louis, MO · On-site

$91K - $125K/yr

Working closely with the AI Manager, business stakeholders, and fellow engineers, you will ... Experience building and deploying AI-enabled applications or machine learning solutions in ...

McCarthy Holdings, Inc.

AI Engineer II

Saint Louis, MO · On-site

$91K - $125K/yr

Working closely with the AI Manager, business stakeholders, and fellow engineers, you will ... Experience building and deploying AI-enabled applications or machine learning solutions in ...

HSHS

Physician - General Cardiologist

O Fallon, IL · On-site

$261K - $326K/yr

New fellow graduates are welcome to apply * Visa Status: H1B supported: J1 ineligible Position ... machine-learning technologies, to assist with certain administrative aspects of the recruitment ...

Hshs

Physician - General Cardiologist

O Fallon, IL

$261K - $326K/yr

... New fellow graduates are welcome to apply Visa Status: H1B supported: J1 ineligible Position ... machine-learning technologies, to assist with certain administrative aspects of the recruitment ...

HSHS

Physician- Neurology

O Fallon, IL · On-site

Up to $150,000 in student loan assistance * $2,500 monthly fellowship stipend * Sign-on bonus ... machine-learning technologies, to assist with certain administrative aspects of the recruitment ...

Hshs

Physician - Endocrinologist

O Fallon, IL · On-site

... fellowship stipend starting upon signed contract - Sign-on bonus - Housing and relocation ... machine-learning technologies, to assist with certain administrative aspects of the recruitment ...

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Postdoctoral Fellow Machine Learning information

See Godfrey, IL salary details

$23.1K

$54.6K

$77.3K

How much do postdoctoral fellow machine learning jobs pay per year?

As of Jul 28, 2026, the average yearly pay for postdoctoral fellow machine learning in Godfrey, IL is $54,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,400.00 and $61,600.00 per year, depending on experience, location, and employer.

What is a Postdoctoral Fellow in Machine Learning?

A Postdoctoral Fellow in Machine Learning is a researcher who has recently completed their PhD and is engaged in advanced research in the field of machine learning. This role typically involves conducting independent or collaborative research, publishing scientific papers, and sometimes mentoring students. Postdoctoral fellows often work at universities, research institutes, or industry labs, focusing on developing new algorithms, improving existing models, or applying machine learning techniques to specific problems. The position is usually temporary, lasting one to three years, and aims to prepare researchers for permanent academic or industry roles.

What is the difference between Postdoctoral Fellow Machine Learning vs Postdoctoral Research Scientist?

AspectPostdoctoral Fellow Machine LearningPostdoctoral Research Scientist
Required credentialsPhD in Computer Science, Data Science, or related fieldPhD in relevant field, often with specialized research experience
Work environmentAcademic labs, universities, research institutionsResearch labs, industry R&D departments, tech companies
Employer and industry usagePrimarily academia, government researchPrimarily industry, corporate research divisions
Common search and comparison intentUnderstanding academic research roles in machine learningExploring industry-focused research career paths

Postdoctoral Fellow Machine Learning roles typically focus on academic research, requiring a PhD and working in universities or research institutions. In contrast, Postdoctoral Research Scientist positions are often industry-based, emphasizing applied research within corporate R&D departments. Both roles involve advanced machine learning expertise but differ mainly in work environment and career trajectory.

What are the key skills and qualifications needed to thrive as a Postdoctoral Fellow in Machine Learning, and why are they important?

To thrive as a Postdoctoral Fellow in Machine Learning, you need a strong background in computer science, mathematics, and statistics, typically supported by a PhD and relevant research experience. Familiarity with programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and experience in high-performance computing environments are commonly required. Strong analytical thinking, effective scientific communication, and collaboration skills help you contribute to research teams and disseminate findings. These skills and qualities are crucial for advancing research, developing innovative solutions, and building a successful academic or industry career in machine learning.

What are some common challenges faced by Postdoctoral Fellows in Machine Learning, and how can they be addressed?

Postdoctoral Fellows in Machine Learning often encounter challenges such as balancing independent research with collaborative projects, staying current with rapidly evolving technologies, and securing funding or publishing in top-tier journals. To address these, it's helpful to establish clear communication with mentors and collaborators, set aside dedicated time for reading recent literature, and actively seek feedback on research drafts. Building a professional network through conferences and seminars can also open opportunities for collaboration and career advancement.
What cities near Godfrey, IL are hiring for Postdoctoral Fellow Machine Learning jobs? Cities near Godfrey, IL with the most Postdoctoral Fellow Machine Learning job openings:
Postdoctoral Fellow Machine Learning jobs near you
Infographic showing various Postdoctoral Fellow Machine Learning job openings in Godfrey, IL as of July 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 90% Physical, and 10% Remote job distribution, with an average salary of $54,632 per year, or $26.3 per hour.
Post Doctoral Fellow

Post Doctoral Fellow

Saint Louis University

Saint Louis, MO • On-site

$47K - $64K/yr

Full-time

Posted 20 days ago

Saint Louis University rating

8.9

Company rating: 8.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

35th of 612 rated colleges and universities

Job description

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation's oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service.
Postdoctoral Fellow - Computational Biology / Bioinformatics
Focus: Multi-omics and Longitudinal Modeling in Alzheimer's Disease
Appointment: Full-time, 1-year term (renewable pending funding and performance)
Position Overview
We are seeking a highly motivated Postdoctoral Fellow with a PhD in Computational Biology, Bioinformatics, Biostatistics, Data Science, or a related quantitative field to join an interdisciplinary research program focused on Alzheimer's disease (AD) and neurodegeneration.
The fellow will lead and contribute to advanced bioinformatics, multi-omics integration, and statistical modeling efforts using large, well-phenotyped longitudinal datasets (e.g., proteomics, transcriptomics, imaging, clinical, and biomarker data). The position is ideal for a candidate interested in mechanistic discovery, biomarker development, and translational neuroscience, with opportunities for high-impact publications and grant development.
Key Responsibilities
  • Perform computational analysis of large-scale omics datasets, including proteomics, transcriptomics, and related modalities
  • Integrate multi-omics data with clinical, cognitive, and imaging phenotypes in longitudinal cohorts
  • Develop and apply statistical and machine-learning models (e.g., mixed-effects models, survival analysis, dimensionality reduction, clustering, trajectory modeling)
  • Lead reproducible analysis pipelines in R, Python, or related frameworks
  • Interpret results in biological and clinical context, with emphasis on Alzheimer's disease mechanisms and biomarkers
  • Prepare figures, tables, and methods for peer-reviewed manuscripts and conference presentations
  • Collaborate with clinicians, wet-lab scientists, and biostatisticians in an interdisciplinary environment
  • Contribute to grant proposals and progress reports as appropriate
  • Mentor graduate or undergraduate trainees in computational methods (optional, depending on interest)

Required Qualifications
  • PhD in Computational Biology, Bioinformatics, Biostatistics, Data Science, Systems Biology, or a related quantitative discipline
  • Strong experience with high-dimensional biological data analysis
  • Proficiency in R and/or Python for statistical computing and data analysis
  • Solid foundation in statistics and data modeling, particularly for longitudinal or cohort-based data
  • Demonstrated ability to work independently and manage complex datasets
  • Strong written and verbal communication skills in English
  • Evidence of productivity (e.g., peer-reviewed publications, preprints, or advanced projects)

Preferred Qualifications
  • Experience with longitudinal modeling (e.g., mixed-effects models, disease progression modeling)
  • Familiarity with neurodegenerative disease research, Alzheimer's disease, or aging biology
  • Experience with proteomics platforms (e.g., Olink, SomaScan, mass spectrometry)
  • Knowledge of multi-omics integration, network analysis, or pathway enrichment methods
  • Experience working with large consortium datasets (e.g., ADNI, AMP-AD, UK Biobank, similar)
  • Interest in translational research, biomarker discovery, or drug target identification
  • Experience with reproducible research practices (version control, documentation, workflow tools)

Environment & Opportunities
The fellow will join a highly collaborative research environment at the interface of neurology, neuroscience, and computational biology, with access to rich datasets and strong clinical context. The position offers:
  • Intellectual ownership of projects
  • Opportunities for first-author publications
  • Exposure to grant writing and translational research strategy
  • Career mentorship tailored to academic, industry, or hybrid career paths

Term & Compensation
  • One-year appointment with possibility of renewal based on funding and performance
  • Competitive salary and benefits commensurate with experience and institutional guidelines

Application Instructions:
Applicants should submit:
1) Curriculum vitae 2) Brief cover letter describing research interests and relevant experience 3) Contact information for 2-3 references
Grant-funded Post-Doctoral appointments may be terminated if grant funding ends.
This position does not currently sponsor J1, H1B, or O visas.
Function
Research Support
Scheduled Weekly Hours:
40
Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.

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