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Data Science Associate Jobs in Rhode Island (NOW HIRING)

Pharmaron

Manufacturing Associate

Coventry, RI · On-site

$25 - $29/hr

Collect and record equipment and process data as instructed. * Issue Safety permits such as Lock ... Pharmaron is a premier service provider for the life sciences industry. Founded in 2004, Pharmaron ...

Pharmaron

Manufacturing Associate

Coventry, RI · On-site

$25 - $29/hr

Collect and record equipment and process data as instructed. * Issue Safety permits such as Lock ... Pharmaron is a premier service provider for the life sciences industry. Founded in 2004, Pharmaron ...

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All JobsData Science Associate JobsData Science Associate Jobs in Rhode Island

Data Science Associate information

See Rhode Island salary details

$56.3K

$66.6K

$126.3K

How much do data science associate jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data science associate in Rhode Island is $66,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $58,300.00 per year, depending on experience, location, and employer.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

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

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to advance into more specialized roles.

What are the most commonly searched types of Data Science jobs in Rhode Island?

The most popular types of Data Science jobs in Rhode Island are:

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

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

What job categories do people searching Data Science Associate jobs in Rhode Island look for?

The top searched job categories for Data Science Associate jobs in Rhode Island are:

What cities in Rhode Island are hiring for Data Science Associate jobs?

Cities in Rhode Island with the most Data Science Associate job openings:

Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Rhode Island as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $66,631 per year, or $32 per hour.

Associate Principal, Indirect Treatment Comparison (ITC), Evidence Synthesis

IQVIA

Providence, RI • Remote

$125K - $350K/yr

Full-time

Posted 28 days ago

IQVIA rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

62nd of 224 rated it services

Job description

Location: Remote, must be based in US

OVERVIEW

Associate Principals are methodologic experts with substantial experience in providing consulting services to Pharmaceutical clients. Associate Principals are project leaders who are responsible for implementing rigorous evidence synthesis research, overseeing the work of junior staff, and proactively managing the project timeline. They are detail oriented, act on anticipated project needs, and problem solve. Associate Principals contribute to the operational and fiscal health of the overall practice and training/success of junior staff.

REQUIRED KNOWLEDGE

Excellent knowledge of systematic literature review (SLR) methods and indirect treatment comparison (ITC). Significant experience leading and conducting ITC projects, including network meta-analysis, matching adjusted meta-analysis, etc. Expert understanding of global SLR guidelines and best practices, and substantial experience in implementing them.

RESPONSIBILITIES

  • Lead implementation of evidence synthesis projects to support HTA and/or regulatory submissions from pre-award to final delivery, as well as hands on development of deliverables
  • Lead project teams to ensure the execution of rigorous and high quality deliverables according to timelines
  • Expert ability to synthesize data qualitatively and quantitatively, and guide junior staff
  • Project management-manage projects, oversee the operational, financial, and administrative requirements of projects
  • Business development-independently qualify leads, develop proposals, attend bid defenses, and manage the contracting process
  • Support more senior staff on specific business initiatives as required
  • Work effectively across time zones as part of a global team

QUALIFICATIONS, EXPERIENCE, TECHNICAL AND PERSONAL SKILLS

Experience

Preferred:

  • PhD in epidemiology or biostatistics (other health sciences okay)
  • 5+ years of experience implementing evidence synthesis research in a pharma consulting environment

Minimum required:

  • Master's in epidemiology or biostatistics (other health sciences okay)
  • 7+ years of experience implementing evidence synthesis research in a pharma consulting environment

Client management

  • Must have 5+ years of experience as the client point of contact on projects

Technical skills and knowledge

  • Significant and demonstrated experience independently leading projects that included Bayesian NMAs and/or other ITCs
  • Substantial experience independently leading projects that included meta-analysis, NMA, or other Bayesian statistical analysis
  • Solid understanding of SLR concepts, guidelines, and required rigor
  • Strong ability to quality check own and others work so that drafts are delivered with only minimal minor typographical errors
  • Exceptional attention to detail
  • Competency in using PowerPoint, Excel, and Word

Essential personal skills and behaviors

  • Fluency in English (spoken and written); strong business/scientific written English
  • A commitment to working collaboratively and effectively with others in and across the team to accomplish goals
  • A commitment to timely internal and client communication; with clients, IQVIA project managers and team members, IQVIA colleagues and others
  • A pragmatic and logical problem solving approach to projects
  • Strong attention to detail on all project deliverables even under time pressure.
  • A good understanding of project management with proven time management and personal organizational skills

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more athttps://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is $125,800.00 - $350,300.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

What IQVIA employees say

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Hours and flexibility

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About IQVIA

Sourced by ZipRecruiter

At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Durham, NC, US

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