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Phd In Statistics Jobs in New York (NOW HIRING)

Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Computational Statistics and Applied ...

PhD in Statistics, Biostatistics or equivalent/related field, highly preferred . * 0-1 years of relevant experience, required. * 0-3 years of relevant experience in statistical consulting, data ...

PhD in Statistics, Biostatistics or equivalent/related field, highly preferred . * 0-1 years of relevant experience, required. * 0-3 years of relevant experience in statistical consulting, data ...

MS or PhD in physics, engineering, statistics, applied math, quantitative finance or other quantitative fields with a strong foundation in statistics * 1+ years of work experience in systematic alpha ...

MS or PhD in physics, engineering, statistics, applied math, quantitative finance or other quantitative fields with a strong foundation in statistics * 1+ years of work experience in systematic alpha ...

PhD in statistics or machine learning is a plus * Experience in quantitative trading, ideally in FX or futures * Experience with alpha research, portfolio construction and optimization * Experience ...

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Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in academia, research, data science, and analytics, often requiring strong analytical and programming skills. While it offers high-level expertise and potential for higher salaries, it also involves significant time and financial investment, and job prospects depend on industry demand and individual specialization.

What can you do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and modeling across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, statisticians, quantitative analysts, or research scientists, utilizing skills in statistical software, programming, and data interpretation to solve complex problems. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.

What cities in New York are hiring for Phd In Statistics jobs?

Cities in New York with the most Phd In Statistics job openings:

Infographic showing various Phd In Statistics job openings in New York as of August 2026, with employment types broken down into 79% Full Time, 20% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Global Biostatistics Strategy Leader

Basking Ridge, NJ • On-site


Merck & Co.
Pharmaceutical Product Wholesalers • 10K+ employees

8.0

Company rating: 8.0 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

43rd of 86 rated pharmaceutical

People enjoy working here

Good employer

Recommended by parents


$271.50 - $452.50/hr

Other

Re-posted 23 days ago


Job description

Daiichi Sankyo is seeking a leader for the statistical function within R&D, responsible for managing statistical practices, overseeing deliverables, and collaborating with global health authorities. The ideal candidate will have extensive experience in the pharmaceutical industry, with a focus on oncology drug development and team leadership.

This role involves significant oversight of both internal teams and external vendor performance, driving strategies for innovation and efficiency within drug research. Candidates must hold a PhD in statistics or biostatistics and have relevant management experience within this domain.

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