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Phd Computer Science Jobs in New Jersey (NOW HIRING)

EVTKS

System Administrator

NJ · On-site

$80K - $85K/yr

PhD or Doctoral in a related field with a minimum of thirty (30) semester hours of either undergrad or grad study in a combination of mathematics, statistics, and computer science Technical ...

Walmart

Principal, Data Scientist

Hoboken, NJ · On-site

$110K - $220K/yr

Master's degree or PhD in Computer Science, Statistics, Mathematics, Economics, Operations Research, Data Science, or a related quantitative field. * 10+ years of experience in Data Science, Machine ...

SAIC

Scientific AI Programmer

Princeton, NJ · On-site +1

$40K - $80K/yr

PhD and 0 years related experience Required Qualifications: * A Bachelor's degree in Computer Science, Information Systems, Engineering, Business or other related scientific or technical discipline.

Relativity

Senior Manager, Applied Science

Newark, NJ · On-site

A master's or PhD in computer science or another quantitative discipline (or equivalent professional experience), and at least 6 years in applied AI/ML, including at least 1 year as a people leader.

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Phd Computer Science information

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$57.4K

$84.4K

$99.5K

How much do phd computer science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for phd computer science in New Jersey is $84,375.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,700.00 and $94,900.00 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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Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in New Jersey 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 $84,375 per year, or $40.6 per hour.

Applied AIML Data Scientist Lead - Vice President

JP Morgan Chase

Jersey City, NJ • On-site

Full-time

Medical, Retirement

Re-posted 14 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks

Job description

The Legal Applied AI/ML team in Corporate Technology at JPMorgan Chase focuses on solving challenging business problems such as semantic search, question answering, document analysis, automation of service inquiries through data science and ML techniques, particularly using GenAI and LLM tools and techniques. You will work with the firm's rich data pool from both internal and external sources using GenAI tools and frameworks, Python/Spark via AWS and other systems. You are also expected to derive business insights from technical results and be able to present them to non-technical audience. 

As an Applied AI ML Data Scientist Lead-Vice President on Corporate team, you will have the opportunity to study complex business problems and apply advanced algorithms to develop, test, and evaluate AI/ML applications or models for those problems. 

Job responsibilities

  • Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases.
  • Develop GenAI and LLM solutions to solve business problems.
  • Implement optimization strategies to fine-tune generative models for specific GenAI use cases, ensuring high-quality outputs. 
  • Execute tasks throughout a model development process including data wrangling/analysis, model training, testing, and selection. 
  • Generate structured and meaningful insights from data analysis and modelling exercise and present them in appropriate format according to the audience. 
  • Communicate AI/GenAI capabilities and results to both technical and non-technical audiences. 

  • Stay informed about the latest trends and advancements in the latest AI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality. 

Required qualifications, capabilities, and skills

  • PhD in Computer Science or a related quantitative discipline with 2+ years of relevant experience or MS/BS in Computer Science or a related field with 4+ years of relevant experience.
  • Practical expertise with LLM projects as well as other supervised and unsupervised techniques; proven track record of deploying AI/ML applications in a production environment.
  • Proficient programming skills with Python and SQL as well as practical experience with other languages such as R, Java and other equivalent languages.
  • Demonstrated experience working with large and complicated datasets.
  • Experience with ML frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API.
  • Experience integrating user feedback to establish agentic refinement and self-improving AI applications.
  • Solid understanding of fundamentals of statistics and machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning) and generative model architectures, particularly Transformer.
  • Ability to identify and address AI/LLM challenges, implement optimizations and tune models for optimal performance in NLP applications.

  • Excellent problem solving, communication (verbal and written), and teamwork skills.

Preferred qualifications, capabilities, and skills

  • Experience working with engineering teams to operationalize ML models.
  • Expertise in designing and implementing pipelines using RAG and Agentic AI framework
  • Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies. 
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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