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Data Science Phd Jobs in Rhode Island (NOW HIRING)

Data Scientist-Agentic AI

Woonsocket, RI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Apply advanced analytics, decision science, and generative AI to build intelligent products ... Preferred Qualifications * A Master's degree or PhD is preferred. * Experience building or ...

New

Sr Data Scientist Treasury Modeling

Johnston, RI

$124K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Partner with data science teams under leadership guidance to deliver model solutions * Create and ... Master's degree or PhD in Finance, Economics, Mathematics, Statistics, or related STEM field ...

Sr Data Scientist Treasury Modeling

Johnston, RI · On-site

$124K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Partner with data science teams under leadership guidance to deliver model solutions * Create and ... Master's degree or PhD in Finance, Economics, Mathematics, Statistics, or related STEM field ...

NC

$176K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Doctorate degree (PharmD, PhD, MD, DNP, etc) in biological sciences with 4 to 6 years of MSL ... Critical data analysis skills * Excellent communication & presentation skills * Networking skills ...

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Data Science Phd information

What is a data science PhD?

A Data Science PhD is a doctoral-level degree focused on advanced research in data science, which combines elements of statistics, computer science, and domain expertise. Students in a Data Science PhD program typically work on developing new methods for analyzing large datasets, creating machine learning algorithms, and addressing complex problems in areas such as artificial intelligence, data mining, and predictive analytics. Graduates are prepared for careers in academia, research, and industry, where they can lead data-driven projects and contribute to advancements in the field.

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

To thrive as a Data Science PhD, you need advanced expertise in statistics, machine learning, data analysis, and a doctoral degree in a quantitative field. Proficiency in programming languages like Python or R, experience with big data frameworks (e.g., Spark, Hadoop), and familiarity with data visualization tools are typically required. Critical thinking, problem-solving, and strong communication skills help you translate complex data insights for diverse stakeholders. These skills are vital for driving innovative research, making data-driven decisions, and contributing impactful solutions in data-centric environments.

What are some common challenges faced by data science PhDs when transitioning from academia to industry roles?

Data Science PhDs often encounter challenges such as adapting to the faster pace and collaborative nature of industry projects compared to academic research. In industry, there is a greater emphasis on delivering practical solutions within tight deadlines and working closely with cross-functional teams like engineering and product management. Additionally, data science work in industry may require balancing technical rigor with business impact, often prioritizing actionable insights over exhaustive analysis. Building strong communication and stakeholder management skills can help ease this transition.

What can I do with a data science PhD?

A data science PhD prepares individuals for advanced roles in research, analytics, and machine learning across industries such as technology, finance, healthcare, and academia. Graduates can work as data scientists, machine learning engineers, research scientists, or data analysts, often utilizing programming languages like Python or R and tools such as TensorFlow or SQL. The degree also enables roles involving complex data modeling, statistical analysis, and developing innovative data-driven solutions.

What are popular job titles related to Data Science Phd jobs in Rhode Island?

For Data Science Phd jobs in Rhode Island, the most frequently searched job titles are:

Infographic showing various Data Science Phd job openings in Rhode Island as of August 2026, with employment types broken down into 28% Internship, and 72% Full Time. Highlights an 100% In-person job distribution.

Postdoctoral Research Associate in Biostatistics for Real-World Data - PH 353

Brown University

Providence, RI • On-site

Full-time

Re-posted 26 days ago


Brown University rating

8.1

Company rating: 8.1 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

163rd of 620 rated colleges and universities


Job description

Description
Dr. Rebecca Hubbard, Professor of Biostatistics and Data Science at Brown University, invites applications for a postdoctoral research associate with interests in developing and applying statistical and data science methods to address important questions in health and healthcare. The position will involve conducting research using large-scale healthcare-derived data sources, including electronic health records, medical claims, registries, and clinical trial data. The postdoctoral associate will work closely with Dr. Hubbard on a broad portfolio of methodological and applied research projects spanning cancer prevention and survivorship, methods for evidence generation with real-world data, clinical risk prediction, and evaluation of artificial intelligence tools in healthcare. Relevant methodological areas include causal inference, missing data, measurement error and outcome misclassification, informative observation processes, algorithmic fairness, and machine learning.
In addition to pursuing independent research, the postdoctoral associate will contribute to multiple ongoing collaborative projects, participate in manuscript and grant development, and contribute to mentorship for junior trainees. The successful candidate will be interested in addressing complex real-world problems through a combination of methodological innovation, rigorous data analysis, and interdisciplinary collaboration. The position provides an outstanding opportunity for individuals seeking careers at the intersection of biostatistics, data science, and health research, with opportunities to contribute both methodological and applied research in a highly collaborative environment.
The Department of Biostatistics is one of four departments in the School of Public Health at Brown. Established in 2011, the department has an outstanding reputation for innovative research related to development and application of statistical methods for the health sciences. Department faculty teach courses and oversee both undergraduate and graduate programs in statistics and biostatistics; nearly all faculty are members of the Center for Biostatistics and Health Data Science (established in 1994), and many are affiliated with other campus research units such as the Data Science Institute, Carney Institute for Brain Sciences, Population Studies Training Center and Center for Computational Molecular Biology. The Brown School of Public Health and the broader University offer numerous opportunities for interaction and collaboration with world-class researchers in data science, public health and global health.
Appointment Details
The initial appointment is for 2 years, with potential renewal contingent upon performance and funding availability. Salary is competitive and commensurate with experience and includes a comprehensive benefits package.
Brown University is a registered employer in the following states: Rhode Island, California, Colorado, Connecticut, Florida, Maryland, Massachusetts, New York, New Hampshire, New Jersey, North Carolina, Washington, D.C. All remote work must be performed in a state in which Brown is registered to do business.
Visas
For this position, Brown offers only the J-1 visa classification to scholars who need immigration sponsorship in order to enter the U.S. and commence lawful employment under the terms of their appointment.
Qualifications
Qualifications include a PhD degree or equivalent in biostatistics, epidemiology, statistics, data science, or related quantitative field with considerable knowledge and experience in data analysis. Candidates with experience and interest in methods for causal inference, methods for electronic health record data, and interest in conducting research at the intersection of data science and clinical epidemiology are especially encouraged to apply. Excellent oral and written and communication skills are required.
Application Instructions
Applicants should submit via Interfolio:
  • Cover letter describing research experience, career goals, and interest in the position. Candidates should also address how they would contribute to the research and/or teaching missions of Brown's diverse and inclusive academic community.
  • Curriculum vitae
  • One representative publication
  • Names and contact information for three references

Please reach out to rebecca_hubbard@brown.edu with questions about the position.

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