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Phd Computer Science Jobs in Kansas (NOW HIRING)

DataAnnotation

Quantitative AI Trainer

Topeka, KS · On-site +1

$60/hr

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...

DataAnnotation

Physicist - AI Trainer

Topeka, KS · On-site +1

$40/hr

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...

DataAnnotation

Quantitative Strategist

Topeka, KS · On-site +1

$40/hr

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...

Full Swing Golf Inc

Algorithm Engineer II

Lawrence, KS · On-site

$135K - $170K/yr

Master's degree or PhD in Computer Science, Mathematics, or a related field. * 2+ years of experience in algorithm development and implementation. * Strong proficiency in Python. * Expertise in ...

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How much do phd computer science jobs pay per year?

As of May 31, 2026, the average yearly pay for phd computer science in Kansas is $74,120.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,100.00 and $83,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD in Computer Science, and why are they important?

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What are some common challenges faced by PhD Computer Science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

What is a PhD in Computer Science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

Is IT worth doing a PhD in CS?

A PhD in Computer Science can be valuable for careers in research, academia, or specialized industry roles requiring advanced expertise. It typically involves several years of study, research, and publication, and can lead to higher-level positions but may not be necessary for most industry jobs that value practical skills and experience. Consider your career goals and whether the research focus aligns with your interests before pursuing a PhD.
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Phd Computer Science jobs near you

Senior Director, Technology - Data Platforms

Clarivate Analytics

Overland Park, KS • Hybrid

$104.70K - $142.30K/yr

Full-time

Posted 25 days ago

Job description

We are looking for a Senior Director of Technology - Data Platforms to join our team. This is an amazing opportunity to lead the future of data platforms and build modern, AI-ready data ecosystems that drive innovation in life sciences and healthcare. The team consists of architecture and engineering professionals and reports to senior technology leadership. We have a great skill set in enterprise data strategy and platform modernization, and we would love to speak with you if you have expertise in data architecture, governance, and cloud-based solutions.

About You - experience, education, skills, and accomplishments

  • At least 10 years in technology leadership roles, with a focus on data platforms, architecture, or engineering.
  • Strong background in data architecture, governance, and modern cloud-based solutions.
  • Bachelor's degree in computer science, engineering, or a related field, or equivalent relevant experience.
  • Proven ability to lead cross-functional teams, drive transformation, and influence stakeholders.

It would be great if you also had...

  • Experience embedding AI-driven capabilities into data platforms.
  • Familiarity with life sciences or healthcare data ecosystems.
  • Advanced degree (Master's or PhD) in a relevant field.
  • Expertise in designing secure, governed frameworks for large-scale data environments.
  • Experience mentoring and developing technical talent.

What will you be doing in this role?

  • Define and execute strategy by translating business goals into actionable plans for next-generation data platforms.
  • Modernize and innovate by upgrading legacy systems, embedding AI-driven capabilities, and standardizing data access.
  • Drive delivery by overseeing architecture and engineering teams to implement scalable, secure, and governed frameworks.
  • Enable business impact by delivering intuitive, reliable data solutions that empower customers and internal stakeholders.
  • Mentor and develop talent to support team growth and foster an inclusive environment for career advancement.

About the Team

You will influence enterprise-wide data strategy and foster collaboration across teams to deliver platforms that simplify complexity while supporting innovation. The team works closely with internal stakeholders across business units and external partners in life sciences and healthcare. This is a high-impact role with visibility across the organization.

Hours of Work

  • Full-time permanent position primarily working core business hours in your time zone, with flexibility to adjust to various global time zones as needed.
  • Hybrid position working 2-3 days/week on-site.
  • Must live within a commutable distance to one of our US office locations.

At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.

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