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Phd Computer Science Jobs in Norman, OK (NOW HIRING)

Oklahoma Christian University's College of Engineering and Computer Science seeks a full-time ... Masters or PhD in Mathematics or Mathematics Education * Teaching experience and evidence of ...

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Phd Computer Science information

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$49.4K

$72.6K

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How much do phd computer science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for phd computer science in Norman, OK is $72,602.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,700.00 and $81,700.00 per year, depending on experience, location, and employer.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, or specialized industry roles requiring advanced expertise. It typically involves several years of study and research, and is valuable for positions that demand deep technical knowledge or innovation. However, it may not be necessary for most industry jobs, which often prioritize skills and experience over advanced degrees.

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.

What are the key skills and qualifications needed to thrive as a PhD in computer science?

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 jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for research positions, university faculty roles, and advanced roles in industry such as data scientist, machine learning engineer, or AI researcher. These roles often require strong programming skills, knowledge of algorithms, and experience with tools like Python, TensorFlow, or cloud platforms.
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Infographic showing various Phd Computer Science job openings in Norman, OK as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $72,602 per year, or $34.9 per hour.

Molecular Genetics and Genome Sciences - Open Rank

University of Oklahoma HSC

Oklahoma City, OK โ€ข On-site

Other

Re-posted 3 days ago


Job description

Description
The Department of Molecular Genetics and Genome Sciences is a newly established basic science department within the College of Medicine (COM) at the University of Oklahoma Health Sciences (OUHSC). The Department is embarking on an aggressive growth schedule to recruit multiple (3-5) tenure-track or tenured faculty - at the ranks of Assistant, Associate, or Full Professor - in each of the next three years. We seek applicants who are energized by the opportunity to join a founding team to build a vibrant and evolving academic community. As members of the inaugural cohort, these faculty will have both the opportunity and the responsibility to co-create the scholarly vision of the Department, shape its collaborative norms, and define a lasting culture of excellence. Successful candidates are expected to develop independent research programs that pursue fundamental questions in molecular genetics and genome sciences, while also catalyzing interdisciplinary collaborations that span the full translational spectrum. Collectively, these new faculty will establish a broad, cross-cutting presence at OUHSC - connecting genetic and genomic discovery with biomedical data science, systems biology, genomic medicine, and clinical and public health translation.
The Department will leverage existing strengths in OUHSC to advance a coherent understanding of biology and medicine. Key partners for program-building include the Harold Hamm Diabetes Center, the Nathan Shock Center on Aging, the Dean McGee Eye Institute, the Stephenson Cancer Center (Oklahoma's only NCI-designated cancer center), and the Oklahoma Medical Research Foundation. The Department will also serve as a vital link to computation-intense research on the University's Norman campus, synergizing with the research and education programs at the School of Computer Science and the Stephenson School of Biomedical Engineering.
We encourage applications from innovative researchers in molecular genetics, computational genomics, and advanced methodological development, as well as those pursuing mechanistic studies of organ development and dynamic modeling of disease trajectories. Successful applicants will receive a competitive salary and start-up package. The Department is housed in a newly renovated building, offering modern, contiguous space designed to support collaborative team science. The Department will actively partner with other departments, institutes, and centers across campus to explore joint growth opportunities (e.g., cluster hires) and to support shared infrastructure needs.
The Department's initial growth phase emphasizes epigenomic analyses of tissue-specific function and the integration across data modalities and biological scales. We invite applications covering a wide range of areas, including but not limited to:
  • Single-cell and spatial analyses, including multi-omic integration.
  • Biomedical data science that combines methodology and implementation, in areas such as statistical modeling, natural language processing, bioimaging analytics, and machine learning/artificial intelligence applications that improve genotype-phenotype mapping.
  • Translational bioinformatics as applied to complex diseases, including cancers, neurological and psychiatric disorders, cardiovascular diseases, and aging-related conditions.
  • Implementation science that combines (epi)genomic profiles with other emerging data streams, in contexts such as biobanking, deep phenotyping, and predictive modeling of health outcomes.
Faculty in the Department will have the opportunity to mentor graduate students through multiple existing doctoral programs and are expected to contribute to graduate, medical, and postdoctoral education, including the creation of new courses aligned with their expertise. Faculty will also play a central role in establishing a new graduate program in genetics and genome sciences. Additional responsibilities include active participation in services at the departmental, college, and university levels, as well as engagement with the broader academic community nationally and internationally. The Department places a strong emphasis on mentorship and is committed to fostering professional development at every career stage.
Qualifications
Applicants must hold a doctoral degree (PhD, MD, or equivalent) and demonstrate evidence of research productivity, teaching potential, and strong momentum toward a well-defined research plan.
Application Instructions
Applications should include the following materials:
  • A letter of interest
  • Curriculum Vitae
  • A Research Statement (up to 3 pages)
  • A Teaching Statement (up to 2 pages)
  • Three letters of reference, or contact information for potential referees (especially for mid-career or senior investigators)

While application reviews will proceed on a rolling basis, those received by October 1, 2025 will receive full consideration for the 2025-2026 cycle. We also welcome inquiries from those considering future recruitment cycles to discuss potential fit.