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Data Science Entry Jobs in Rhode Island (NOW HIRING)

SEACORP has immediate openings for entry levelSoftware Engineers with a minimum of 1 year ... Confer with data processing or project managers to obtain information on limitations or ...

Collects and organizes research participant data into appropriate format to facilitate data entry ... Bachelor's Degree in Applied or Life Sciences or related area, including courses in research ...

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A science-related degree is preferred, and the ideal candidate will possess a background in ... Manage data entry, maintain accurate records. * Collaborate with team members to optimize processes ...

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A science-related degree is preferred, and the ideal candidate will possess a background in ... Manage data entry, maintain accurate records. * Collaborate with team members to optimize processes ...

This position supports QMS process management by performing system administration and data entry ... Bachelor's degree in business, engineering, life sciences, or a related technical discipline. * 2-5 ...

Registry Data Quality and Oversight * Ensures accurate and timely data entry into the trauma ... Associate's or bachelor's degree in Medical Record Management or related health science field ...

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Data Science Entry information

See Rhode Island salary details

$10

$19

$27

How much do data science entry jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for data science entry in Rhode Island is $19.07, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $21.44 per hour, depending on experience, location, and employer.

How do I become a data scientist with no experience?

To become a data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining hands-on experience with projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning frameworks can help demonstrate your abilities to employers.

Can I work a data entry job with no experience?

Data entry jobs typically require basic computer skills and attention to detail but often do not require prior experience. Many employers offer entry-level positions that provide on-the-job training, making it possible to start without previous experience. Familiarity with tools like spreadsheets and data management software can be helpful.

What types of projects can entry-level data scientists expect to work on, and how do these projects support team goals?

As an entry-level data scientist, you will typically work on projects such as data cleaning, exploratory data analysis, building simple predictive models, and creating data visualizations. These tasks are foundational and help support the broader team by preparing datasets, uncovering actionable insights, and ensuring data quality. You'll often collaborate with more experienced data scientists, engineers, and business analysts, contributing to larger projects and gradually taking on more responsibility as you gain experience. This collaborative environment helps you learn best practices and understand how your work impacts the organization's objectives.

What are Data Science Entry jobs?

Data Science Entry jobs are positions designed for individuals who are new to the field of data science, often recent graduates or career changers. These roles typically involve working with data to extract insights, performing basic data cleaning, exploratory analysis, and supporting more senior data scientists. Entry-level data scientists may use tools like Python, R, SQL, and data visualization platforms. The goal is to build foundational skills in data analysis, statistics, and machine learning while contributing to projects under supervision.

Is it possible to get a data science job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is not always mandatory, candidates typically need relevant coursework, projects, or certifications to demonstrate their skills to employers.

What are the key skills and qualifications needed to thrive as an Entry-Level Data Scientist, and why are they important?

To thrive as an Entry-Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with tools like SQL, data visualization platforms (e.g., Tableau), and machine learning frameworks (such as scikit-learn or TensorFlow) is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business recommendations. These competencies are crucial for extracting value from data, driving informed decisions, and succeeding in collaborative, data-driven environments.

Is 40 too late for data science?

Data science entry-level roles do not have an age limit, and many professionals start careers in their 30s or later. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.
What are popular job titles related to Data Science Entry jobs in Rhode Island? For Data Science Entry jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Data Science Entry jobs in Rhode Island look for? The top searched job categories for Data Science Entry jobs in Rhode Island are:

Sr Clinical Research Assistant

Brown University Health

Providence, RI • On-site

Other

Posted 16 days ago


Brown University Health rating

6.8

Company rating: 6.8 out of 10

Based on 70 frontline employees who took The Breakroom Quiz

483rd of 877 rated healthcare providers


Job description

SUMMARY Under general supervision, but following established policies and procedures, performs scientific investigative research in areas related to patient care. Researches literature in the field, participates in the design of experimental protocols and develops new procedures to carry out established research objectives. Interviews patients to gather information, prepares and maintains study record, enters data via computer, performs statistical analyses of resultant data.

Participates in the qualitative/quantitative analyses of data. May assist in writing presentations and papers for publication based on the research performed. May perform EKG's and take vital signs during research-based monitoring tests.

May also perform blood spinning and shipment of blood and tissue samples as required by protocol. Brown University Health employees are expected to successfully role model the organization's values of Compassion, Accountability, Respect, and Excellence as these values guide our everyday actions with patients, customers and one another. In addition to our values, all employees are expected to demonstrate the core Success Factors which tell us how we work together and how we get things done.

The core Success Factors include: Instill Trust and Value Differences Patient and Community Focus and Collaborate RESPONSIBILITIES Identifies patients meeting criteria for inclusion in clinical research studies, ensuring research protocol eligibility requirements are met. In collaboration with the research investigator, participates in the design of experimental protocols to achieve the scientific objectives of the research project. Develops research methodologies within the parameters of experimental protocols and research objectives to allow quantitative and qualitative evaluation and interpretation of data obtained.

Establishes and maintains study record for each participant. Interviews patient and/or family to explain the nature of the study, eliciting cooperation and gathering information to complete study questionnaire. Facilitates obtaining informed consent.

May assist to schedule patient appointments and make calls to patients to complete documentation. Reviews medical records to abstract information necessary to complete forms. Requests and follows up on missing data such as laboratory test results and the like.

Regularly monitors adherence to protocol; alerts physician when laboratory tests ordered have not been performed, medication protocol not followed, etc. Collects and organizes patient data into appropriate format to facilitate data entry. Creates, modifies as appropriate and maintains study database to meet needs for project.

Gathers, tabulates, graphs develops explanatory charts, and analyzes data using statistical methodology. Performs computer-assisted statistical analysis such as multiple antecedent variables, linear regression, frequencies, cross-tabulation and the like. Writes non-complex programs using computer and software-compatible language to reformat information, create new files, etc.

Prepares and maintains related graphs and charts or results of data gathered. Participates in quantitative/qualitative analyses of resultant information. May provide functional guidance to subordinate research staff assigned to the project to provide clarification of protocol, resolve issues, ensure adherence to research protocol procedures and assist in developing their professional skills in reviewing and interpreting statistical trends and the like.

Participates in the interpretation of the results of experiences through conferences with principal investigator and other research professionals involved in the study to review data compared to hypothesis and research methodology in instances of inexplicable data. May make recommendation for modification of research protocol based upon initial findings. May assist in writing presentations and papers for publications based on research performed.

Regularly reviews relevant literature to research being conducted in order to better understand the project. Maintains and enhances professional expertise through educational opportunities and participation in related teams and conferences. May perform research-based EKG's, vital signs, blood spinning and shipping of blood and tissue products, in accordance with protocol specifications.

MINIMUM QUALIFICATIONS BASIC KNOWLEDGE: Bachelor's Degree in Applied or Life Sciences or related area, including courses in research methodologies and microcomputer systems. EXPERIENCE: Two to three years progressively more responsible and related experience in the research field. Experience should demonstrate effective working knowledge of statistics, computer programming and research methodology and an in-depth knowledge of the scientific field in which the research is being conducted.

SUPERVISORY RESPONSIBILITY: Provides functional guidance to subordinate research staff assigned to the project. Completion in a laboratory environment with possible exposure to human and animal serum chemical reagents, animal subjects and radioactive materials. PAY RANGE $48,068.80-$79,372.80 LOCATION Rhode Island Hospital - 593 Eddy Street Providence, Rhode Island 02903 WORK TYPE 8:00-4:30 WORK SHIFT Day DAILY HOURS 8 hours DRIVING REQUIRED Yes Brown University Health is committed to providing equal employment opportunities and maintaining a work environment free from all forms of unlawful discrimination and harassment

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