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Bs Computer Science Jobs in Raleigh, NC (NOW HIRING)

NextDeavor Inc.

Embedded Data Scientist

Morrisville, NC · On-site

$130K - $150K/yr

Bachelor's degree in Mathematics, Data Science, Computer Science, Computer Engineering, or a related discipline * Willingness and interest in learning specification, design, and manufacture of ...

Qualcomm

Machine Learning Compiler

Raleigh, NC · On-site

Required : • Bachelor's degree in Computer Science, Electrical Engineering, or related field and 10+ years of relevant experience • Master's degree and 8+ years of experience • Ph.D. and 6+ ...

Amazon

Automation Engineer

Durham, NC · On-site

... Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of PLC programming or automation engineering experience - Work a flexible schedule ...

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How much do bs computer science jobs pay per year?

As of Jul 9, 2026, the average yearly pay for bs computer science in Raleigh, NC is $80,788.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,300.00 and $90,900.00 per year, depending on experience, location, and employer.

What professions make $200,000 a year without a degree?

In the tech industry, roles such as software engineers, data scientists, and cybersecurity specialists can earn $200,000 or more annually, especially with experience, advanced skills, and certifications like AWS or Cisco. High-paying freelance consulting, entrepreneurship, and sales positions in technology or finance also have the potential to reach this income level without a formal degree.

What job can I do after BS computer science?

A Bachelor of Science in Computer Science prepares graduates for roles such as software developer, systems analyst, database administrator, network administrator, cybersecurity analyst, and web developer. These positions typically require knowledge of programming languages, data structures, and computer systems, and may involve certifications like CompTIA or Cisco depending on the role.

What is a BS in Computer Science?

A BS in Computer Science is a Bachelor of Science degree that focuses on the theoretical foundations and practical applications of computing and programming. Students learn about algorithms, data structures, software development, computer systems, and sometimes topics like artificial intelligence, cybersecurity, and databases. Graduates are prepared for careers in software engineering, IT, research, or for further study in graduate programs. The degree generally takes about four years to complete and combines coursework, projects, and sometimes internships to provide a comprehensive understanding of computer science.

What jobs does a computer science degree get?

A computer science degree qualifies graduates for roles such as software developer, systems analyst, database administrator, cybersecurity analyst, and network engineer. These jobs typically require skills in programming languages, problem-solving, and understanding of computer systems, often with certifications like CompTIA or Cisco. Employment can be found in technology companies, finance, healthcare, and government sectors.

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

To thrive as a Computer Science graduate, you need strong analytical thinking, programming proficiency, and a solid grasp of algorithms and data structures, typically supported by a bachelor's degree in computer science or a related field. Familiarity with coding languages (such as Python, Java, or C++), version control systems like Git, and knowledge of software development methodologies are highly valued. Effective problem-solving, teamwork, and communication skills help you excel in collaborative and dynamic tech environments. These capabilities enable you to design, develop, and maintain robust software solutions that meet real-world needs.

What types of entry-level roles are commonly available to graduates with a BS in Computer Science, and how can I identify which path aligns with my interests?

Graduates with a BS in Computer Science often find entry-level opportunities as software developers, QA engineers, data analysts, IT support specialists, or web developers. To determine which path best suits your interests, consider the subjects you enjoyed most during your studies, such as programming, databases, or networking, and look for roles that emphasize those skills. Internships, personal projects, and participation in coding communities can also provide valuable insight into various specializations, helping you make a more informed decision as you start your career.

What jobs do most CS majors get?

Most computer science majors find employment as software developers, computer programmers, or systems analysts. They often work in roles involving coding, software design, and technical problem-solving, frequently using programming languages like Java, Python, or C++. Many also pursue positions in cybersecurity, data analysis, or network administration depending on their skills and interests.

What is the difference between Bs Computer Science vs Bs Information Technology?

AspectBs Computer ScienceBs Information Technology
Core FocusProgramming, algorithms, software development, theoretical foundationsIT infrastructure, network management, systems administration
CertificationsComputer Science-related certifications (e.g., Cisco, Microsoft)IT certifications (e.g., CompTIA, Cisco)
Work EnvironmentSoftware companies, tech startups, research labsCorporate IT departments, network operations centers
Industry UsageSoftware development, research, academiaIT support, network management, system administration

While both degrees prepare students for tech careers, Bs Computer Science emphasizes programming and software development, whereas Bs Information Technology focuses on managing and supporting IT systems and networks. Your choice depends on whether you prefer coding and software design or IT infrastructure management.

What are popular job titles related to Bs Computer Science jobs in Raleigh, NC? For Bs Computer Science jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Bs Computer Science jobs in Raleigh, NC look for? The top searched job categories for Bs Computer Science jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Bs Computer Science jobs? Cities near Raleigh, NC with the most Bs Computer Science job openings:
Bs Computer Science jobs near you
Infographic showing various Bs Computer Science job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $80,788 per year, or $38.8 per hour.
Senior Specialist, Data Science - Operational Data Strategy (ODS)

Senior Specialist, Data Science - Operational Data Strategy (ODS)

AstraZeneca

Durham, NC • On-site

Full-time

Posted 15 days ago

AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

18th of 73 rated pharmaceutical

Job description

Senior Specialist, Data Science - Operational Data Strategy (ODS), BioPharma, AstraZeneca
Section 1: Overview of the Role
The Operational Data Strategy (ODS) function provides strategic oversight for how clinical operations data is collected, organized, validated, and analyzed across R&D. ODS combines advanced database and system capabilities with innovative data science methodologies to enable visual, data-driven decision making in clinical operations. ODS is a key division within R&D at AstraZeneca that partners across BioPharma to elevate evidence generation and operational excellence.
We are seeking a Senior Specialist, Data Science to be a key asset within ODS, reporting to the Strategic Analytics and Enablement Lead. You will drive complex analytics programs, design and implement predictive models, and translate business needs into rigorous data science solutions that create tangible impact in clinical operations. Core deliverables emphasize advanced analytics outputs and AI/ML applications; dashboards in Power BI are supportive rather than central. You will embody our core traits-critical thinking, growth mindset, grit, and resilience-while coaching specialists and raising the quality bar across ODS.
Section 2: Typical Accountabilities
  • Coordinate the implementation of analytical and data visualization solutions across clinical operations, ensuring scalability, reproducibility, and clear governance.
  • Develop solutions to business and analytics challenges using established frameworks and tools, translating complex operational needs into robust data science deliverables.
  • Lead advanced analytics and visualization approaches that enable data-driven decision making; use dashboards as communication aids when appropriate.
  • Respond to ad hoc queries from senior stakeholders with timely, accurate analytical outputs and clearly articulated assumptions and limitations.
  • Frame core issues, develop and refine hypotheses, and design strategic analytics plans aligned to program and portfolio objectives in clinical operations.
  • Identify and evaluate relevant primary and secondary sources; synthesize quantitative and qualitative insights across multiple systems and datasets.
  • Provide expertise in exploratory, descriptive, and predictive analytics; design, implement, and evaluate machine learning models for classification, regression, clustering, and time-to-event problems as appropriate.
  • Maintain high quality standards under pressure, enforcing quality reviews, source assessment, and alignment to hypotheses to avoid non-value-add analysis.
  • Keep solutions at the leading edge by developing and applying ongoing knowledge of analytics trends, methodologies, and tools; contribute to the definition of ODS standards and best practices.
  • Define and guide best practices for data collection and preprocessing across databases, APIs, and files; partner effectively on ETL and data engineering handoffs.
  • Compile insights into figures, charts, and tables and craft concise narratives with strong vertical and horizontal logic for executive decision forums.
  • Present complex work to principals and cross-functional stakeholders; engage dynamically with feedback and tailor content to varied audiences; coach specialists on effective communication.
  • Build and manage effective relationships to ensure utilization and value of ODS analytics; provide training and advice on optimal use of key data and analyses.
  • Practice strong upward management with timely, comprehensive progress reporting; own workstreams end-to-end from hypothesis to presentation; guide others to do the same.
  • Model key leadership traits-integrity, commitment, initiative, personable engagement, adaptability, organization, time consciousness, creativity, and strategic thinking-and mentor others to adopt them.

Section 3: Education, Qualifications, Skills and Experience
Essential
  • Bachelor's degree in computer science, data analysis, statistics, engineering, or a related discipline, and 4+ years of experience.
  • Master's degree in computer science, data analysis, statistics, applied mathematics, or a relevant discipline, and 4+ years of experience.
  • PhD in computer science, data analysis, statistics, applied mathematics, or a relevant discipline, and 1+ year of experience
  • Demonstrated expert knowledge of analytics and visualization tools such as Python, Power BI, and Spotfire, with emphasis on delivering advanced analytics outputs over dashboards.
  • Familiarity with database systems (SQL and NoSQL), ETL pipelines, cloud environments, and software development best practices, including reproducibility and version control.
  • Demonstrated experience developing complex data analyses in business and scientific domains, including Clinical Operations.
  • Excellent written and verbal communication skills in English, with the ability to clearly communicate uncertainties, assumptions, and limitations.
  • Strong understanding of data science principles, machine learning algorithms (classification, regression, clustering), statistical inference, and model evaluation methodologies.

Desired
  • Experience working in Agile delivery environments and exposure to modern MLOps practices.
  • Evidence of process improvement and standard setting across analytics workflows, model governance, and stakeholder adoption.

Core Traits and Why They Are Critical Success Factors
  • Critical Thinking: A deep, structured approach to problem solving enables precise problem framing, sound method selection, and unbiased interpretation-vital for transforming operational data into decisions that impact study timelines, quality, and cost.
  • Growth Mindset: Curiosity and a learning orientation ensure rapid adoption of new AI/ML techniques, data sources, and evolving business needs, keeping ODS solutions modern, scalable, and impactful across R&D.
  • Grit: Perseverance sustains momentum through complex data ecosystems, regulatory constraints, and cross-functional dependencies; it underpins delivery on long-running initiatives and in ambiguous contexts.
  • Resilience: The capacity to recover from challenges maintains performance under pressure, enables constructive responses to feedback, and fosters an evidence-first culture essential in high-stakes clinical environments.

Section 4: Key Relationships to Reach Solutions
Internal
  • Clinical Data and Insights Leadership Team; Biopharmaceuticals Clinical Operations Leadership Team and BPOs; senior leaders and peers in other R&D functions; HR, Finance, Global Business Services, IT, Procurement, and other enabling functions.

External
  • Clinical Research Organizations and other outsourcing providers; external service providers; benchmarking organizations.

At AstraZeneca, we push the boundaries of science to change the practice of medicine and transform the lives of patients living with cancer. With one of the broadest and deepest Immunology pipelines in the industry, there are many opportunities to work with new and novel drugs. Our collaborative environment empowers us to take smart risks, challenge the norm, and learn from failures. We are united in our vision to eliminate cancer as a cause of death, making bold moves that truly improve patient outcomes.
Join us in our mission to make a meaningful difference for patients around the world!
Date Posted
25-Jun-2026
Closing Date
10-Jul-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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