ZipRecruiter

Log In

1

Phd Computer Science Jobs in Camden, NJ (NOW HIRING)

Vangard, Inc.

Data Scientist, Specialist

Malvern, PA · On-site

MS or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field. * 3+ years delivering AI/ML solutions in production environments. * 5+ years of handson Python ...

Soni Resources

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative discipline. The ideal candidate: * Enjoys solving complex business problems through ...

previous page

Showing results 41-60

All JobsPhd Computer Science JobsPhd Computer Science Jobs in Camden, NJ

Phd Computer Science information

See Camden, NJ salary details

$57K

$83.8K

$98.9K

How much do phd computer science jobs pay per year?

As of Sep 3, 2026, the average yearly pay for phd computer science in Camden, NJ is $83,847.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,200.00 and $94,300.00 per year, depending on experience, location, and employer.

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 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.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, or specialized industry roles, often requiring advanced skills in algorithms, data analysis, and programming. While it offers opportunities for high-level positions and expertise, it typically involves several years of study and may not be necessary for most industry jobs, which often value practical experience and skills. The decision depends on career goals and the desire for research or teaching roles.

What can I do after a PhD in computer science?

A PhD in computer science prepares individuals for careers in academia, research, or advanced industry roles such as data scientist, machine learning engineer, or software architect. Graduates often pursue postdoctoral research, work in R&D departments, or obtain certifications in specialized tools and programming languages to enhance their expertise.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for advanced roles such as research scientist, data scientist, machine learning engineer, or university professor. These positions often require strong analytical skills, programming expertise, and knowledge of algorithms, data structures, and AI tools. Graduates may work in academia, industry research labs, or technology companies focusing on innovation and development.

What are popular job titles related to Phd Computer Science jobs in Camden, NJ?

For Phd Computer Science jobs in Camden, NJ, the most frequently searched job titles are:

What job categories do people searching Phd Computer Science jobs in Camden, NJ look for?

The top searched job categories for Phd Computer Science jobs in Camden, NJ are:

What cities near Camden, NJ are hiring for Phd Computer Science jobs?

Cities near Camden, NJ with the most Phd Computer Science job openings:

Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Camden, NJ as of August 2026, with employment types broken down into 79% Full Time, 14% Part Time, and 7% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $83,847 per year, or $40.3 per hour.

Data Scientist, Specialist

Vangard, Inc.

Malvern, PA • On-site

Full-time

Re-posted 10 days ago

Job description

Responsibilities:

Solve Business Problems with AI

  • Partner with business stakeholders toidentify, frame, and prioritize highvalue problems that can be addressed using Agentic AI, LLMs, and NLP.
  • Translate business needs intoclear AI use cases, success metrics, and delivery plans.
  • Focus onbusiness outcomes, not just model performance.

Design & Build Agentic AI Solutions

  • Architect and developagentic AI systems that can reason, plan, and take actions across tools, workflows, and data sources.
  • Design multiagent and toolaugmented LLM solutions to automate complex, multistep processes.
  • Ensure solutions arereliable, explainable, and governed for enterprise use.

Scalable & Responsible AI

  • Collaborate with engineering teams to deploy AI solutions withscalability, security, and performance in mind.
  • Implement evaluation, monitoring, and guardrails for LLM and agentic systems, including bias, drift, and failure modes.
  • Align solutions with enterprise risk management, compliance, and responsible AI standards.

Thought Leadership & Collaboration

  • Act as atrusted AI advisor, helping teams understand where Agentic AI and LLMs add value-and where they do not.
  • Contribute to AI best practices, reusable patterns, and strategic direction.
  • Mentor peers and teammates on applied AI and businessdriven problem solving.

Qualifications:

  • Agentic AI: Experience designing AI agents that reason, plan, and act across systems.
  • Large Language Models (LLMs): Handson experience building enterprise LLM applications (e.g., RAG, tool use, orchestration, evaluation).
  • Natural Language Processing (NLP): Strong experience working with unstructured text and languagedriven workflows.
  • MS or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field.
  • 3+ years delivering AI/ML solutions in production environments.
  • 5+ years of handson Python experience; experience with distributed data processing is a plus.
  • Strong ability tosolve business problems using AI, not just build models.
  • Excellent communication skills, with the ability to explain complex concepts to both technical and nontechnical audiences.
  • Experience working in crossfunctional, enterprise environments.

Special Factors

Sponsorship

Vanguard is offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Apply