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Computer Science Fresh Graduate Jobs in Missouri

Jobtailor

Data Scientist, Level 4

California, MO · On-site

$120 - $180/hr

... computer science, engineering or related field or equivalent years of practical work experience ... graduate professional experience in quantitative analysis and data science; or a Ph.D. in a ...

Deloitte

Lead AI and Data Science Engineer II

Kansas City, MO · On-site

$100K - $131K/yr

Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative ...

Deloitte

Lead AI and Data Science Engineer II

Saint Louis, MO · On-site

$99K - $131K/yr

Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative ...

Freddie Mac

$14.75 - $19.75/hr

Are you an undergraduate or graduate student looking to kickstart your career? Freddie Mac ... Capital Markets, Computer Science, Data/Quant Analytics, Economics, Finance, Risk Management ...

Freddie Mac

$13.75 - $18.50/hr

Are you an undergraduate or graduate student looking to kickstart your career? Freddie Mac ... Capital Markets, Computer Science, Data/Quant Analytics, Economics, Finance, Risk Management ...

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Computer Science Fresh Graduate information

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$84K

$100.8K

$115.4K

How much do computer science fresh graduate jobs pay per year?

As of Aug 18, 2026, the average yearly pay for computer science fresh graduate in Missouri is $100,835.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $109,300.00 per year, depending on experience, location, and employer.

What is a computer science fresh graduate?

A Computer Science Fresh Graduate job is an entry-level position designed for individuals who have recently completed a degree in computer science or a related field. These roles typically involve tasks like software development, database management, IT support, or cybersecurity, depending on the employer. Companies hire fresh graduates to train them in industry practices and align their skills with organizational needs. Common job titles include Software Engineer, IT Support Specialist, and Data Analyst. Employers look for strong programming skills, problem-solving abilities, and a willingness to learn new technologies.

What types of projects and responsibilities can a computer science fresh graduate expect in their first role?

As a Computer Science Fresh Graduate, you can typically expect to contribute to coding, debugging, testing, and maintaining software applications under the guidance of more experienced team members. You'll often collaborate closely with engineers, designers, and sometimes clients to deliver project goals and learn best practices. Initial responsibilities may also include participating in code reviews, writing documentation, and assisting in troubleshooting technical issues. These projects are designed to help you build industry experience, strengthen your technical skills, and prepare for more advanced assignments or leadership roles over time.

What are the key skills and qualifications needed to thrive in the computer science fresh graduate position, and why are they important?

To thrive as a Computer Science Fresh Graduate, you need a solid understanding of programming languages, data structures, algorithms, and software development principles, typically proven by a bachelor's degree in computer science or a related field. Familiarity with industry-standard tools like Git, integrated development environments (IDEs), and possibly certifications in areas such as cloud computing or cybersecurity can be advantageous. Strong problem-solving abilities, a willingness to learn, and effective teamwork and communication skills will help you stand out. These competencies are crucial for adapting to varied technical tasks, succeeding in collaborative projects, and quickly growing in the fast-evolving tech industry.

What are the most commonly searched types of Computer Science Fresh Graduate jobs in Missouri?

The most popular types of Computer Science Fresh Graduate jobs in Missouri are:

What are popular job titles related to Computer Science Fresh Graduate jobs in Missouri?

For Computer Science Fresh Graduate jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Computer Science Fresh Graduate jobs in Missouri look for?

The top searched job categories for Computer Science Fresh Graduate jobs in Missouri are:

Computer Science Fresh Graduate jobs near you
Infographic showing various Computer Science Fresh Graduate job openings in Missouri as of August 2026, with employment types broken down into 10% Internship, 52% Full Time, 27% Part Time, 5% Temporary, and 6% Contract. Highlights an 100% In-person job distribution, with an average salary of $100,835 per year, or $48.5 per hour.

Part-time Faculty - Health Data Science & AI

Saint Louis University

Saint Louis, MO

Part-time

Re-posted 12 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

34th of 618 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.

Adjunct Assistant/Associate Professor - Health Data Science and Artificial Intelligence Applications in Medicine

Department of Health and Clinical Outcomes Research
Saint Louis University School of Medicine

Position Summary

The Department of Health and Clinical Outcomes Research at Saint Louis University School of Medicine invites applications for Adjunct Assistant or Associate Professorpositions to teach graduate-level courses and mentor students in applied health data science and artificial intelligence in medicine.

Primary Responsibilities

Adjunct faculty will teach one or more of the following courses or related electives within the Department's data science and AI curriculum:

  • Privacy, Ethics, Regulation & Policy

  • Introduction to Artificial Intelligence

  • Predictive Modeling and Machine Learning

  • Image Processing and Deep Learning

  • Bioinformatics & Biomedical / Clinical Data Analysis Natural Language Processing and Large Language Models

  • Reinforcement Learning for Clinical Decision Making

  • Telehealth & Telemedicine

  • AI for Precision Medicine & Genomics & Diagnostics

  • Research in Medicine

Additional responsibilities include:

  • Develop and deliver engaging, practice-based course materials.
  • Mentoring students on applied research and analytics projects using real-world datasets.
  • Collaborating with program leadership to ensure content quality, alignment with learning objectives, and current best practices in AI and health data analytics.
  • Participating in departmental meetings or student events, as appropriate for adjunct appointments.

Qualifications

Required:

  • Ph.D. or equivalent terminal degree in Health Data Science, Biomedical Informatics, Computer Science, Biostatistics, or a related field.

  • Demonstrated expertise in one or more areas of artificial intelligence, data science, or computational health analytics.

  • Proficiency with relevant tools and languages (e.g., Python, R, SQL, TensorFlow, PyTorch, SAS).

  • Strong communication skills and a commitment to high-quality, student-centered graduate teaching.

Preferred:

  • Experience teaching graduate courses in AI, data science, or health informatics.

  • Applied or research experience involving AI deployment in healthcare, biomedical, or clinical contexts.

  • Familiarity with regulatory, ethical, and equity considerations in digital health and AI.

  • Record of scholarly or professional contributions in data-driven healthcare innovation.

Appointment Details

  • Type:Adjunct, non-tenure track

  • Rank:Assistant or Associate Professor (commensurate with qualifications)

  • Location:Saint Louis University School of Medicine (in-person, hybrid, or online options available)

  • Start Date:Ongoing recruitment for upcoming academic terms

Application Instructions

Interested applicants should submit:

  • A cover letter outlining teaching interests and relevant experience

  • Curriculum vitae (CV)

  • Contact information for three professional references

Applications will be reviewed on a rolling basis until positions are filled.

Function

Faculty - Adjunct

Scheduled Weekly Hours:

20

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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