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Computer Science Training Jobs in Arizona (NOW HIRING)

Education - * Bachelor's degree in Data Science, Computer Science, Statistics, Engineering ... Work may require out-of-town travel depending upon assignment (training and meeting). Ultra Clean ...

Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or ... and training; licensure and certifications; and other business and organizational needs. The ...

AI and Data Science Engineer III

Tempe, AZ · On-site

$109K - $131K/yr

Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science ... and training; licensure and certifications; and other business and organizational needs. The ...

Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or ... and training; licensure and certifications; and other business and organizational needs. The ...

Education - * Bachelor's degree in Data Science, Computer Science, Statistics, Engineering ... Work may require out-of-town travel depending upon assignment (training and meeting). Ultra Clean ...

Embedded Software Engineer 3

Chandler, AZ · On-site

$129K - $170K/yr

Bachelor of Science/Engineering degree in Computer Science, Computer Systems, or related degree ... This policy governs all areas of employment at Chipton-Ross, including recruiting, hiring, training ...

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Computer Science Training information

What are the key skills and qualifications needed to thrive in the Computer Science Training position, and why are they important?

To thrive in Computer Science Training roles, you need a solid background in computer science concepts, programming, and educational or instructional expertise, often supported by a relevant degree or professional certifications such as CompTIA, Microsoft Certified Educator, or instructional design credentials. Familiarity with learning management systems (LMS), online collaboration platforms, and coding tools like Python, Java, or C++ is commonly required. Strong communication, patience, and the ability to tailor complex technical information to diverse audiences are valuable soft skills in this field. These competencies are essential for effectively teaching and preparing learners for evolving industry demands.

Is computer science dead due to AI?

Computer science training remains valuable as AI advances, as it provides foundational knowledge in algorithms, programming, and systems design essential for developing and maintaining AI technologies. AI creates new opportunities for computer science professionals in areas like machine learning, data analysis, and software development. Continuous learning and adapting to emerging tools are important for job seekers in this field.

What are some typical responsibilities of someone working in Computer Science Training?

Professionals in Computer Science Training are often responsible for designing and delivering curriculum, conducting hands-on programming workshops, assessing learners' progress, and updating course materials to reflect current industry trends. You may work closely with other instructors, HR training coordinators, or technical experts to align content with organizational or educational objectives. Collaboration with industry professionals and ongoing professional development are also common, as the technology landscape evolves quickly. This mix of technical and educational duties ensures that trainees gain practical, up-to-date skills needed for a successful tech career.

What is a Computer Science Training job?

A Computer Science Training job involves teaching or mentoring individuals in computer science concepts, programming, and related technologies. Professionals in this role may work in academic institutions, corporate training programs, or bootcamps to help students or employees develop technical skills. The job often includes designing curriculum, conducting lectures or hands-on coding sessions, and assessing learners' progress. Strong knowledge of programming languages, algorithms, and software development is typically required.

Which is harder, CS or IT?

Computer Science training typically involves more theoretical concepts, programming, algorithms, and problem-solving skills, making it generally more challenging academically. Information Technology training focuses on practical applications, system management, and support, which may be less abstract but still require technical knowledge. The difficulty depends on individual strengths and career goals, but CS often demands a deeper understanding of complex concepts and coding skills.

What training do you need to be a computer scientist?

To become a computer scientist, a bachelor's degree in computer science, software engineering, or a related field is typically required. Advanced roles may require a master's or Ph.D., along with strong programming skills, knowledge of algorithms, data structures, and experience with tools like programming languages and development environments.

What jobs can you get with a computer science course?

A computer science course prepares individuals for roles such as software developer, systems analyst, database administrator, cybersecurity analyst, and network engineer. These jobs typically require programming skills, knowledge of algorithms, and familiarity with tools like programming languages, operating systems, and development environments.
What are popular job titles related to Computer Science Training jobs in Arizona? For Computer Science Training jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Computer Science Training jobs in Arizona look for? The top searched job categories for Computer Science Training jobs in Arizona are:

Data Scientist, Data & Science Solutions

Caris Life Sciences

Tempe, AZ

Full-time

Posted 2 days ago


Job description

At Caris, we understand that cancer is an ugly word-a word no one wants to hear, but one that connects us all. That's why we're not just transforming cancer care-we're changing lives.

We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day:"What would I do if this patient were my mom?"That question drives everything we do.

But our mission doesn't stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare-driven by innovation, compassion, and purpose.

Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.

Position Summary

Caris Life Sciences is seeking a data scientist to expand, test, and validate a suite of molecular biomarkers aimed to improve the standard of care for patients undergoing treatment for cancer. This is a research role within the Caris signature development program and responsibilities will center on statistical or machine-learning derived predictions of phenotypic treatment response built from the genotypic data types available on Caris molecular sequencing platforms. A successful candidate will have the analytical, code-oriented mindset to create reproducible data science pipelines, and the communication skills to discuss the implications of the scientific results with our medical professionals.

Job Responsibilities

  • Contribute to analytics and research that support internal stakeholders and external partners.

  • Assist in the development and evaluation of molecular signatures and analytical approaches that leverage Caris' data to support partner research and drug discovery strategies.

  • Support preparation of analytical results and figures for internal reviews and client-facing discussions.

  • Develop and maintain tools, workflows, and automated solutions to scale data analytics and data science operations.

  • Support the Biopharma Solutions team with feasibility assessments and tooling to optimize workflows.

  • Write well-structured, well-documented, and reproducible code, including efficient queries and organized codebases.

    Required Qualifications

    • PhD in Computational Biology, Bioinformatics, Mathematics, Data Science, Engineering, or related scientific field.

    • Strong programming skills in Python or R, with experience developing reproducible analysis workflows.

    • Experience with Linux ecosystem, Git, and queries from SQL or related database families.

    • Experience with molecular genetics data and/or multimodal real-world data (RWD).

    • Ability to translate biological and scientific questions into analytical or statistical approaches and deliver data-driven insights.

    • Strong verbal and written communication skills, with the ability to explain complex technical concepts in clear language.

    Preferred Qualifications

    • Experience with interpretation of clinical health records including Electronic Health Records, insurance claims data, or patient histories.

    • Experience collaborating directly with external partners or clients, particularly in biopharma or healthcare.

    • Good code documentation practices and experience with workflow management packages.

    • Experience working in cloud or HPC clusters.

    Physical Demands

    • Will work at a computer most of the time, with some time spent collaborating with subject matter experts and business group leaders either in person or through remote conferencing.

    • Visual acuity and analytical skill to distinguish fine detail.

    • Must possess ability to sit and/or stand for long periods of time.

    Training

    • All job specific, safety, and compliance training are assigned based on the job functions associated with this employee.

    Other

    • This position may require periodic travel and some evenings, weekends, and/or holidays.

    Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check( applicable for certain positions) and reference verification.

    This job description reflects management's assignment of essential functions. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.

    Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.