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Computer Science Data Science Jobs in New Jersey

Dlapiper

Data Scientist

Short Hills, NJ · On-site +1

Bachelor's degree in computer science, data science, statistics, applied mathematics or related field Years of Experience * 5 years of relevant experience in applying data science techniques to ...

Kyowa Kirin North America

Data Scientist

Princeton, NJ · On-site

The Data Scientist will be responsible for applying advanced analytics and creating data-based ... A Bachelor's degree in Statistics, Computer Science, Economics, applied mathematics, or a related ...

Totalwine

Bachelor's Degree Data Science, Computer Science, Statistics, Mathematics, Economics, or related field required or equivalent years of experience * Master's Degree Data Science, Computer Science ...

KPMG US

Data Scientist- Senior Associate

Montvale, NJ · On-site

$61K - $62K/yr

S. work visa status for this opportunity Preferred : • Master's degree from an accredited college or university in computer science, data science, statistics, or a related technical field is ...

KPMG US

Data Scientist- Associate

Montvale, NJ · On-site

$61K - $62K/yr

... in Computer Science, Data Science, Statistics, or a related quantitative discipline is preferred • Familiarity with LLMs and frameworks like LangChain is preferred Company : KPMG is one of the ...

SageSure

Director Data Science

Jersey City, NJ · On-site

Bachelor's or Master's degree in a quantitative field (Data Science, Computer Science, Statistics, Mathematics, etc.). * 3+ years of leadership experience managing data scientists or analytics teams ...

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Computer Science Data Science information

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$38.1K

$124.6K

$199.5K

How much do computer science data science jobs pay per year?

As of Sep 11, 2026, the average yearly pay for computer science data science in New Jersey is $124,608.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $138,100.00 per year, depending on experience, location, and employer.

Can a computer science data scientist work as a data scientist?

A computer science data scientist can work as a data scientist because both roles involve analyzing data, developing algorithms, and using tools like Python or R. The main difference is that a data scientist often focuses more on statistical analysis and data visualization, while a computer science data scientist may have a stronger background in software development and machine learning. Skills in programming, data manipulation, and understanding of algorithms are essential for both positions.

Is a computer science data science degree good for data science?

A computer science data science degree provides a strong foundation in programming, algorithms, and data analysis, which are essential skills for data science roles. It often includes coursework in machine learning, statistics, and data management, making it well-suited for entry-level and advanced data science positions. Practical experience with tools like Python, R, and SQL can further enhance job prospects in the field.

What are popular job titles related to Computer Science Data Science jobs in New Jersey?

For Computer Science Data Science jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Computer Science Data Science jobs in New Jersey look for?

The top searched job categories for Computer Science Data Science jobs in New Jersey are:

What cities in New Jersey are hiring for Computer Science Data Science jobs?

Cities in New Jersey with the most Computer Science Data Science job openings:

Computer Science Data Science jobs near you
Infographic showing various Computer Science Data Science job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $124,608 per year, or $59.9 per hour.

Principal Scientist, Data Science (Data Products, Integration & Analysis)

Raritan, NJ • On-site

Scorpion Therapeutics
51 - 200 employees
Learn more about Scorpion Therapeuticsexternal

Other

PTO

Posted 12 days ago

Job description

Position Summary

  • Lead the design, implementation, and evolution of scientific data products and integration strategies supporting AI-enabled drug discovery and development.

  • Create scalable, interoperable, AI-ready data products connecting discovery, preclinical, clinical, safety, and real-world evidence; enable validated-biomarker data assets.

  • Establish data architecture, integration strategy, metadata framework, and productization approach for semantic reasoning, knowledge graphs, GraphRAG, advanced analytics, and agentic AI.

  • Define the future-state scientific data ecosystem with stakeholders and ensure high-quality products for translational science and patient safety.


Key Responsibilities

  • Define and execute a scientific data product strategy for discovery research, translational science, preclinical safety, clinical development, pharmacovigilance, and real-world evidence.

  • Design integration frameworks and data harmonization across SEND, SDTM, ADaM, MedDRA, imaging, omics, biomarker, pathology, and real-world data.

  • Lead AWS-based digital platform implementation strategy; partner to deliver pipelines/data products.

  • Develop curated datasets, semantic-ready data products, feature stores, metadata products, scientific data services, and AI-ready data assets.

  • Define metadata standards and data quality; implement lineage/provenance/traceability and FAIR; establish monitoring controls.

  • Build predictive AIML models for translational safety decision making.


Required Qualifications

  • Master’s or PhD in CS, Data Engineering, Bioinformatics, Biomedical Informatics, Information Systems, Computational Biology, or related.

  • 5+ years in scientific data engineering/architecture/products/life sciences informatics.

  • Experience delivering enterprise-scale scientific data products; supporting drug discovery/development/clinical research/pharmacovigilance.

  • Experience developing predictive models in relevant areas.


Technical Expertise

  • Data architecture/modeling, data product design, cloud-native platforms, metadata management, data governance, predictive model development.

  • AWS-based platforms; data lakes/lakehouses; distributed processing; APIs/data services; data cataloging/lineage.

  • Familiarity with SEND, SDTM, ADaM, MedDRA.


Preferred Qualifications

  • Knowledge graphs/semantic architectures/GraphRAG; AI-ready data products & feature stores; ontology-driven integration; partnering with cloud/platform teams; regulated environments.

  • Familiarity with FHIR, OMOP, DICOM; biomarker/omics standards.


Benefits (explicitly listed)

  • Vacation: 120 hours/year; Sick time: 40 hours/year (CO: 48; WA: 56); Holiday pay (incl. Floating Holidays): 13 days/year; Work/Personal/Family Time: up to 40 hours/year; Parental Leave: 480 hours; Bereavement: 240 hours (immediate) / 40 hours (extended); Caregiver Leave: 80 hours (52-week rolling period); Volunteer Leave: 32 hours/year; Military Spouse Time-Off: 80 hours/year.

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