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Phd Data Scientist Jobs in Raritan, NJ (NOW HIRING)

Senior Data Scientist

New York, NY · On-site

$114K - $153K/yr

Master's or PhD is required in a computational field such as Data Science, Computer Science, Mathematics, Statistics, or related field and a minimum of 5 years of experience * Proficiency using ...

Principal Data Scientist

New York, NY · On-site

$204K - $267K/yr

About the Position As a Principal Data Scientist at Formation Bio, you will be at the forefront of ... PhD in computational sciences or life sciences * 5+ years of post-academic experience in life ...

Principal / Senior Data Scientist We're looking for a data-driven problem solver to leverage large ... Or PhD in a quantitative field (CS, Computational Biology, Statistics, etc.) with 2+ years of ...

Senior Data Scientist

New York, NY · On-site

$114K - $153K/yr

Master's or PhD is required in a computational field such as Data Science, Computer Science, Mathematics, Statistics, or related field and a minimum of 5 years of experience * Proficiency using ...

What You Bring to the Table * 8+ years of industry experience with MS or 6+ years with PhD in Statistics, Economics, Applied Mathematics, Computer Science, Data Science, Machine Learning, or a ...

Lead Data Scientist

New York, NY · On-site

$175K - $195K/yr

Master's degree or PhD in Computer Science, Statistics, Economics, Mathematics, or a related quantitative field. * 5+ years of experience in data science with a proven track record of conceptualizing ...

... PhD preferred) * 8 + years of work experience in Machine Learning, AI and Data Science with a ... proven track record to drive innovation and business impacts * Strong experience in Recommender ...

Senior Lead Data Scientist

New York, NY · On-site

$204K - $226K/yr

Master's degree or PhD in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics) with 8+ years of professional data science experience. * Deep expertise in multiple complex ...

Senior Data Scientist

New York, NY · On-site

$130K - $150K/yr

This role is a client-facing data scientist supporting enterprise retail accounts across ... Advanced degree (MS/PhD) in a quantitative field. * Retail domain knowledge: open-to-buy ...

Showing results 41-60

Phd Data Scientist information

See Raritan, NJ salary details

$47.1K

$169K

$249.4K

How much do phd data scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for phd data scientist in Raritan, NJ is $168,984.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,700.00 and $174,100.00 per year, depending on experience, location, and employer.

What is a PhD data scientist?

PhD Data Scientists are professionals who have earned a doctoral degree (PhD) in a relevant field, such as computer science, statistics, mathematics, or engineering, and work in roles focused on analyzing and interpreting complex data. They leverage advanced research skills, deep theoretical knowledge, and expertise in data modeling to solve challenging problems, build predictive models, and derive actionable insights for organizations. PhD Data Scientists often contribute to cutting-edge projects, publish research, and help bridge the gap between academic research and practical, real-world applications.

What are the key skills and qualifications needed to thrive as a PhD data scientist?

To thrive as a PhD Data Scientist, you need advanced expertise in statistics, machine learning, and data analysis, typically backed by a PhD in a quantitative field. Proficiency with programming languages like Python or R, experience with big data tools (e.g., Hadoop, Spark), and familiarity with cloud platforms and version control systems are commonly required. Strong problem-solving skills, communication abilities, and the capacity to explain complex concepts to non-technical stakeholders are crucial soft skills. These skills and qualities are essential for extracting actionable insights from complex datasets and driving data-informed decision-making in organizations.

What are some common challenges PhD data scientists face when transitioning from academia to industry roles?

PhD Data Scientists often encounter challenges when moving from academia to industry, such as adapting to faster project timelines, prioritizing business impact over exploratory research, and communicating complex findings to non-technical stakeholders. In industry, there is a greater emphasis on collaborative teamwork and delivering actionable insights that align with organizational goals. Building skills in agile development, stakeholder engagement, and product-focused thinking can help smooth the transition and ensure success in a corporate environment.

What is the difference between Phd Data Scientist vs Data Analyst?

AspectPhd Data ScientistData Analyst
Required CredentialsPhD or Master's in Data Science, Statistics, or related fieldBachelor's or Master's in related field, often with certifications
Work EnvironmentResearch-focused, complex modeling, advanced analyticsBusiness reporting, data visualization, basic analysis
Employer & Industry UsageTech, academia, research institutions, large corporationsBusiness, marketing, finance, healthcare

Phd Data Scientists typically have advanced degrees and focus on complex modeling and research, while Data Analysts handle more straightforward data reporting and visualization tasks. Both roles are essential in data-driven organizations but differ in scope and expertise.

What cities near Raritan, NJ are hiring for Phd Data Scientist jobs?

Cities near Raritan, NJ with the most Phd Data Scientist job openings:

Infographic showing various Phd Data Scientist job openings in Raritan, NJ as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 17% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $168,984 per year, or $81.2 per hour.

Senior Data Scientist

Medidata Solutions

New York, NY • On-site

$114K - $153K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 23 days ago


Job description

Location: Hybrid, New York
Medidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week following Company policy.
About our Company:
Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating over 25 years of ground-breaking technological innovation across more than 38,000 trials and 12 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million registered users across approximately 2,300 customers trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. A Dassault Systèmes brand (Euronext Paris: FR0014003TT8, DSY.PA), Medidata is headquartered in New York City and has been recognized as a Leader by Everest Group and IDC. Discover more at www.medidata.com. Listen to our latest podcast, from Dreamers to Disruptors, and follow us at @Medidata.
About the Team:
Medidata AI organization is building innovative AI products based on the largest collection of clinical data in the world.
We are looking for individuals who will solve the most complex questions facing the industry today with innovative ML techniques based on both classical and GenAI approaches. The AI features developed will power modern clinical trial study design and study conduct with Rave and Patient Cloud products. This role will report to Data Science Manager, and partner heavily with all of the key stakeholder functions including Data Science, Product, and Engineering.
Responsibilities:
Your are an experienced Data Scientist who will design, implement, and productionize new AI driven features integrated with Medidata products
  • Design, develop and validate machine learning models for novel clinical trial applications.
  • Interact with product team to grasp product needs and provide AI solution (data, modeling strategies, and model serving).
  • Develop prototypes that communicate how models can be used within customer facing products.
  • Evaluate and assess novel tools, algorithms, and technologies to be an AI community enabler.
  • Build AI services promoting end-to-end pipelines from data curation, processing, model building, model evaluation, to model deployment for production.
  • Lead junior data scientists in implementations of AI tasks and guide technical decisions across teams.
Qualifications:
Required:
  • Master's or PhD is required in a computational field such as Data Science, Computer Science, Mathematics, Statistics, or related field and a minimum of 5 years of experience
  • Proficiency using Python, SQL, Linux shell scripting, AWS, Docker, and Git
  • Experience with AI service development and deployment, familiar with different model serving strategies and service basics (performance, latency, scalability, etc)
  • Technical leadership in both hard and soft skills, proactive, clear, and efficient in communication
  • Experience with LLM or transformer based algorithms and validation method is preferred
  • Previous experience with deploying GPU based models to AWS is a plus
Nice to have(s) but not required...
  • Experience in building agentic workflows
  • Familiarity with NLP in healthcare data datasets in production
  • Familiarity with machine learning infrastructure and frameworks, CI/CD, and MLOps
As with all roles, Medidata sets ranges based on a number of factors including function, level, candidate expertise and experience, and geographic location. Pay ranges for candidates in locations other than New York City, may differ based on the local market data in that region.
The salary range for positions that will be physically based in New York is $114,750- $153,000.
Base pay is one part of the Total Rewards that Medidata provides to compensate and recognize employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides benefits, including medical, dental, life and disability insurance, 401(k) matching, family leave, flexible paid time off; and 10 paid holidays per year.
#LI-Hybrid
#LI-MM1
Note: Please be on the lookout for job scams. Medidata recruiters will never ask applicants for monetary compensation, credit card, or banking details.