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Computer Science Economics Jobs in New Jersey (NOW HIRING)

Dir, Patient Intelligence Lead

Rahway, NJ ยท On-site

$173 - $273/hr

Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Economics, Mathematics). * 10+ years of relevant experience in advanced analytics, data science, or ...

$41K - $50K/yr

Currently pursuing a bachelor's degree in Political Science, Economics, Finance, Accounting, Computer Science, Management Information Systems (MIS), Business and Technology Management, or a related ...

New

Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Economics, Mathematics).10+ years of relevant experience in advanced analytics, data science, or ...

(USA) Senior, Data Scientist

Bayonne, NJ ยท On-site

$108K - $216K/yr

Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option ...

(USA) Senior, Data Scientist

Elizabeth, NJ ยท On-site

$108K - $216K/yr

Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option ...

(USA) Senior, Data Scientist

Perth Amboy, NJ ยท On-site

$108K - $216K/yr

Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option ...

(USA) Senior, Data Scientist

Sayreville, NJ ยท On-site

$108K - $216K/yr

Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option ...

(USA) Senior, Data Scientist

Hoboken, NJ ยท On-site

$108K - $216K/yr

Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option ...

(USA) Senior, Data Scientist

Clifton, NJ ยท On-site

$108K - $216K/yr

Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option ...

(USA) Senior, Data Scientist

Jersey City, NJ ยท On-site

$108K - $216K/yr

Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option ...

(USA) Senior, Data Scientist

Hoboken, NJ ยท On-site

$108K - $216K/yr

Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option ...

(USA) Senior, Data Scientist

Hoboken, NJ ยท On-site

$108K - $216K/yr

Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option ...

(USA) Senior, Data Scientist

Linden, NJ ยท On-site

$108K - $216K/yr

Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option ...

Showing results 21-40

Computer Science Economics information

See New Jersey salary details

$11.2K

$99.5K

$162.9K

How much do computer science economics jobs pay per year?

As of Sep 3, 2026, the average yearly pay for computer science economics in New Jersey is $99,493.00, according to ZipRecruiter salary data. Most workers in this role earn between $22,300.00 and $162,400.00 per year, depending on experience, location, and employer.

What is a computer science economics?

A Computer Science Economics job combines computing, data analysis, and economic principles to solve complex business and financial problems. Professionals in this field work with algorithms, machine learning, and economic models to analyze trends, optimize decision-making, and improve efficiency. They may work in industries like finance, tech, or policy analysis, using data-driven methods to drive insights and innovation.

What does a computer science economics do?

Professionals in Computer Science Economics roles blend data analysis, economic modeling, and software development to provide insights that guide business strategies and policy decisions. On a typical day, you might analyze large datasets, build predictive economic models, collaborate with data engineers or economists, and present findings to stakeholders. Many roles are highly collaborative, often involving teamwork with both technical and non-technical colleagues to solve complex, real-world business or economic problems. The work environment can range from consulting firms to financial institutions or tech companies, offering a dynamic and intellectually stimulating setting with opportunities for continued learning and career growth.

What skills and qualifications are needed for a computer science economics?

To excel in a Computer Science Economics role, candidates typically need a strong background in both computer science fundamentals (such as programming, algorithms, and data structures) and economic theory, often evidenced by degrees in these or related fields. Familiarity with analytical tools like Python, R, SQL, and statistical modeling software, as well as experience with data visualization platforms, are commonly required. Strong communication, critical thinking, and problem-solving abilities enable effective collaboration across multidisciplinary teams. These skills and qualifications are crucial for leveraging computational techniques to analyze complex economic data and deliver actionable insights in technology-driven industries.

Is computer science and economics a good combination?

Computer Science Economics combines technical programming skills with economic analysis, making it valuable for roles in data analysis, financial modeling, and technology-driven economic research. Professionals in this field often use programming languages like Python or R and may pursue certifications in data science or economics to enhance their expertise.

What are the top 3 highest paying jobs in computer science?

In computer science, the highest paying roles typically include software engineering managers, data scientists, and solutions architects. These positions often require advanced technical skills, experience, and sometimes certifications, and they tend to offer salaries significantly above the industry average.

What can you do with a computer science and economics degree?

A computer science and economics degree prepares individuals for roles such as data analyst, financial analyst, software developer, or economic consultant. These roles often require skills in programming, data analysis, and understanding economic principles, and may involve working with tools like Python, R, or SQL in various industries including finance, technology, and consulting.
Infographic showing various Computer Science Economics job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $99,493 per year, or $47.8 per hour.

Dir, Patient Intelligence Lead

MSD Malaysia

Rahway, NJ โ€ข On-site

$173 - $273/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Job description

Job Description

Our Digital Human Health (DHH) team is transforming how we engage with and support patients throughout their healthcare journey. We are at the forefront of building a more connected, personalized, and seamless patient experience, which will be critical to helping patients to benefit from our upcoming launch products. Working cross-functionally, we are inventing new ways of leveraging digital, data, and analytics to improve health outcomes and deliver on our "patient-first" mission. Reporting to the Executive Director, Digital Patient Experience, the Director, Patient Intelligence Lead is a pivotal new role dedicated to building our predictive patient analytics capabilities. This leader will drive the creation of modular, scalable analytics products that provide insights into patient behaviors and challenges throughout the patient journey to empower our patient support organization and brand teams to improve patient outcomes across our portfolio.

Primary Responsibilities
  • Predictive Analytics & Modeling: Lead the design, development, and deployment of predictive patient analytics models and products, focusing on critical milestones in the patient journey.
  • Modular Capability Build: Architect and build scalable, modular analytics products that can be seamlessly adapted and deployed across various brands within our company portfolio, rather than relying on bespoke, one-off analyses.
  • Data Visualization & Storytelling: Oversee the translation of complex predictive models into intuitive data visualizations and actionable insights, ensuring they are effectively communicated to commercial, marketing, and access stakeholders.
  • Cross-Functional Data Leadership: Partner closely with our Commercial Technology & Solutions, Market Engagement, Commercial AI Capabilities, Patient CoE, and Brand teams to ensure the right data infrastructure, governance, and quality are in place to support advanced analytics.
  • Team & Capability Development: Cultivate a high-performing analytics function within the DHH Patient Capabilities team, mentoring data professionals and establishing best practices for patient analytics.
Required Experience and Skills
  • Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Economics, Mathematics).
  • 10+ years of relevant experience in advanced analytics, data science, or predictive modeling within the pharmaceutical, healthcare, or related industries.
  • Extensive hands-on experience working with patient-level healthcare data sets (e.g., claims data, EHR/EMR, specialty pharmacy data, Rx/fulfillment data).
  • Proven ability to productize analytics-translating ad-hoc models into scalable, repeatable data products or modular capabilities.
  • Strong proficiency in data visualization tools and translating complex data into strategic business recommendations for non-technical leadership.
  • Demonstrated leadership experience, with the ability to manage technical resources and drive cross-functional alignment.
Preferred Experience and Skills
  • Advanced degree (e.g., MS or PhD in Data Science, Statistics, or related quantitative field).
  • Deep expertise in machine learning (ML) and artificial intelligence (AI) applications specific to patient behavior and commercial healthcare analytics.
  • Prior experience working in agile product teams, collaborating closely with product managers and engineers.
  • Familiarity with cloud-based data environments and modern data architecture (e.g., AWS, GCP).

Our Human Health Division maintains a "patient first, profits later" ideology. The organization is comprised of sales, marketing, market access, digital analytics, and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide.

Required Skills
  • Artificial Intelligence (AI)
  • Artificial Intelligence (AI)
  • Building Capability
  • Business Analysis
  • Clinical Leadership
  • Competency Management
  • Cross-Functional Project Management
  • Customer Communications
  • Data Analysis Tools
  • Data Science
  • Data Storytelling
  • Data Visualization
  • Data Visualization Tools
  • Demand Management
  • Healthcare Analytics
  • Innovation
  • Learning Algorithms
  • Liaison Work
  • Policy Compliance
  • Predictive Analytics
  • Procedure Development
  • Product Management Leadership
  • Requirements Management
  • Sourcing and Procurement
  • Stakeholder Relationship Management
  • {+ 2 more}

US and Puerto Rico Residents Only: Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities.

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance.

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.

Employee Status: Regular

Relocation: No relocation

Visa Sponsorship: No

Travel Requirements: 10% Flexible Work Arrangements: Hybrid Shift: Not Indicated Valid Driving License: No Hazardous Material(s): n/a

Job Posting End Date: 09/8/2026

The salary range for this role is $173,200.00 - $272,600.00. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employeeโ€™s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.

We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.

As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.

For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights EEOC GINA Supplement.

We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one anotherโ€™s thinking and approach problems collectively.

We are a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where we have codified our legacy for over a century. Our success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.

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