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Software Developer Trainee Jobs in Houston, TX (NOW HIRING)

W. R. Grace & Co.

PA-Operator D/Trainee

Pasadena, TX · On-site

$38.71/hr

... engineered materials and fine chemicals. We provide innovative products, technologies and services ... Proficiency with DCS Controls systems and specific manufacturing software or systems. * Experience ...

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All JobsSoftware Developer Trainee JobsSoftware Developer Trainee Jobs in Houston, TX

Software Developer Trainee information

See Houston, TX salary details

$45.8K

$106.8K

$158.5K

How much do software developer trainee jobs pay per year?

As of Jun 30, 2026, the average yearly pay for software developer trainee in Houston, TX is $106,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $124,100.00 per year, depending on experience, location, and employer.

How to get hired as a software developer with no experience?

To get hired as a software developer trainee with no experience, focus on building a strong foundation in programming languages like Python or Java, create a portfolio of personal projects, and learn relevant tools such as Git and IDEs. Internships, coding bootcamps, and certifications can also improve your chances by demonstrating commitment and skill development.

What are the key skills and qualifications needed to thrive as a Software Developer Trainee, and why are they important?

To thrive as a Software Developer Trainee, you need a foundational understanding of programming languages (such as Java, Python, or JavaScript), algorithms, and problem-solving skills, often supported by a degree in computer science or a related field. Familiarity with version control systems like Git, development environments, and basic database management is typically expected. Eagerness to learn, attention to detail, and effective communication are essential soft skills for collaborating with teams and adapting to new technologies. These skills and qualities enable rapid skill development, efficient teamwork, and successful contributions to software projects.

Is it true that AI will replace software engineers?

AI technology is advancing and can automate certain coding tasks, but software developers are essential for designing, managing, and maintaining complex systems. AI tools serve as aids to improve productivity, but human expertise remains crucial for problem-solving, creativity, and decision-making in software development.

What are Software Developer Trainees?

Software Developer Trainees are entry-level professionals who are learning the skills required to become full-fledged software developers. They typically work under the guidance of senior developers and participate in coding, debugging, testing, and documentation tasks as part of a training or probationary period. The goal of this role is to provide real-world experience and mentorship, enabling trainees to transition into independent developer roles. Software Developer Trainees often collaborate with teams and are encouraged to learn modern programming languages, development tools, and best practices.

What are the typical responsibilities and learning opportunities for a Software Developer Trainee during the first few months on the job?

As a Software Developer Trainee, your initial responsibilities often include assisting with code reviews, debugging, and writing small modules under the guidance of senior developers. You'll spend significant time learning company-specific frameworks, tools, and development practices while participating in team meetings and collaborative projects. This period is designed for hands-on learning, so expect to receive regular feedback and mentorship to help you build foundational technical and communication skills. Over time, you'll gradually take on more complex tasks as you become familiar with the software development lifecycle and the team's workflows.

What is L1, L2, L3, and L4 developer?

In the context of a Software Developer Trainee role, L1, L2, L3, and L4 typically refer to different levels of developer experience and responsibility, with L1 being entry-level or junior developers and L4 representing senior or lead developers. These levels often indicate increasing expertise, problem-solving skills, and project ownership, and are used by organizations to structure career progression and assign tasks accordingly.

What engineers make $500,000?

Senior software engineers, especially those in specialized fields like machine learning, data engineering, or working at large tech companies, can earn $500,000 or more annually. High compensation often includes base salary, bonuses, and stock options, and typically requires extensive experience, advanced skills, and a strong track record in the industry.

What is the difference between Software Developer Trainee vs Software Developer?

AspectSoftware Developer TraineeSoftware Developer
Required CredentialsTypically pursuing or recently completed a degree in Computer Science or related fieldBachelor's degree or higher in Computer Science or related field, with relevant experience
Work EnvironmentTraining programs, mentorship, entry-level projectsFull-time professional role, responsible for developing software solutions
Employer & Industry UsageInternships, training programs, entry-level positions in tech companiesFull-fledged employee in software development teams across industries

The main difference is that a Software Developer Trainee is in a learning or internship phase, focusing on gaining skills, while a Software Developer is a fully employed professional responsible for delivering software projects.

What are the most commonly searched types of Software Developer jobs in Houston, TX? The most popular types of Software Developer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Software Developer Trainee jobs? Cities near Houston, TX with the most Software Developer Trainee job openings:
Software Developer Trainee jobs near you
Infographic showing various Software Developer Trainee job openings in Houston, TX as of June 2026, with employment types broken down into 2% As Needed, 52% Full Time, 39% Part Time, and 7% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $106,759 per year, or $51.3 per hour.
Postdoctoral Fellow - Biostatistics

Postdoctoral Fellow - Biostatistics

MD Anderson

Houston, TX

$64K - $76K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 25 days ago

Key responsibilities

  • Develop novel statistical and data science methods, including software, for clinical trial design and analysis.

  • Integrate machine learning, causal inference, Bayesian techniques, and adaptive designs to build innovative tools for evaluating treatment effectiveness.

  • Analyze real-world and institutional medical datasets using advanced statistical modeling and computation.

MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 165 frontline employees who took The Breakroom Quiz

32nd of 877 rated healthcare providers

Job description

The Department of Biostatistics at has one postdoctoral fellow position open for biostatistics and data science methodology research in clinical trials. The main focus is research and publication. The primary focus will be to develop novel methods for causal AI/inference methods, adaptive Bayesian clinical trial designs, derive related statistical theory, produce software for implementation, incorporate biomarkers in clinical trial design and analysis, and build statistical learning tools for large data sets. The postdoctoral fellow will work under the supervision of Dr. Liang on challenging and important clinical and biological projects that involve complex statistical modeling, data analysis, and computation.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
Trainee will learn through various research projects, with a primary focus on: (1) developing novel statistical and data science methods, as well as user-friendly software, for integrating AI tools to evaluate novel treatments or design future clinical trials in overall population or subgroups, and (2) analyzing real-world and institutional medical datasets. A major methodological focus will be integrating machine learning/artificial intelligence tools, causal inference methods, Bayesian techniques, and adaptive designs to build innovative, next-generation tools for adaptively and efficiently evaluating treatment effectiveness and learning optimal treatment decisions that may vary by different patients' subgroups.
ELIGIBILITY REQUIREMENTS
Applicants must have a recent PhD in biostatistics or statistics from a reputed University/Institute or within 0-1 years of graduation. At least one first author publication in a peer reviewed journal stemming from PhD studies is required. Candidates must have strong methodological training in statistics or biostatistics, especially in causal inference or semiparametric methods, and have strong computer programming skills, in particular using R or Python. Expertise or skills in the following areas are highly desirable: Causal inference, double/debias machine learning, semiparametric methods, Bayesian MCMC computational methods, adaptive clinical trials, and machine learning for estimation or decision-making.
Please send CV and information on three referees directly to mliang2@mdanderson.org.
POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

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