ZipRecruiter

Log In

1

Data Scientist Research Analyst Jobs (NOW HIRING)

Miamioh

Data Research Analyst-1

Oxford, OH · Hybrid

$80K/yr

Preference given to degrees in Data Science, Information Science, Data Analytics, Statistics, Social Science Research Methods, Administration, or a related field Demonstrated experience with direct ...

HOF Capital

Data Scientist / Researcher

Manhattan, NY

$160K - $470K/yr

... research & analyses on future market opportunities, in order to identify the most promising ones. * Assist with investment due diligence by: (1) collecting the data needed for accurate market ...

HOF Capital

Data Scientist / Researcher

Manhattan, NY

$160K - $470K/yr

... research & analyses on future market opportunities, in order to identify the most promising ones. * Assist with investment due diligence by: (1) collecting the data needed for accurate market ...

The University of Chicago

Research Analyst

Chicago, IL · On-site

S. government agencies, municipal governments, researchers, and a dedicated team of research analysts, data scientists, and staff, to support research projects led by the EE Lab and Faculty Director ...

next page

Showing results 1-20

All JobsData Scientist Research Analyst Jobs

Data Scientist Research Analyst information

What are Data Scientist Research Analysts?

Data Scientist Research Analysts are professionals who use statistical, analytical, and computational techniques to extract insights from data and support business or research decisions. They combine skills in data science, such as machine learning and programming, with research analysis methods to interpret complex datasets, identify patterns, and generate actionable recommendations. Their work often involves collecting, cleaning, and analyzing data, building predictive models, and communicating findings to stakeholders. Data Scientist Research Analysts work in a variety of industries, including finance, healthcare, technology, and government.

How do Data Scientist Research Analysts typically collaborate with other teams within an organization?

Data Scientist Research Analysts often work closely with cross-functional teams such as engineering, product management, and business strategy. They translate complex data findings into actionable insights that inform decision-making across departments. Collaboration may involve regular meetings to align on project goals, sharing data visualizations, and communicating technical results to non-technical stakeholders. This collaborative environment helps ensure that data-driven solutions are both technically robust and aligned with organizational objectives.

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

AspectData Scientist Research AnalystData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields
Work EnvironmentResearch-focused, often in tech, finance, or healthcare industriesBusiness or corporate settings, supporting decision-making
Employer & Industry UsageResearch institutions, tech companies, large corporationsRetail, finance, marketing, and other industries
Common Search & ComparisonOften compared for data analysis and research rolesMore general data analysis roles

The main difference is that Data Scientist Research Analysts focus on advanced research, modeling, and predictive analytics, often requiring higher technical skills and specialized education. Data Analysts typically handle data cleaning, reporting, and basic analysis to support business decisions. Both roles overlap in data handling but differ in complexity and scope.

What are the key skills and qualifications needed to thrive as a Data Scientist Research Analyst, and why are they important?

To thrive as a Data Scientist Research Analyst, you need strong analytical skills, statistical knowledge, and proficiency in programming languages such as Python or R, usually supported by a degree in data science, statistics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), machine learning frameworks, and experience with databases (SQL) are typically required. Critical thinking, problem-solving abilities, and effective communication are essential soft skills for transforming complex data into actionable insights. These skills are crucial for generating valuable research outcomes, supporting business decisions, and effectively conveying data-driven findings to stakeholders.

Can a data scientist do the job of a data analyst?

A data scientist can often perform the tasks of a data analyst, as both roles involve analyzing data to extract insights. However, data scientists typically have more advanced skills in machine learning, statistical modeling, and programming, which may go beyond the scope of standard data analyst responsibilities. The roles can overlap, but the specific job requirements depend on the organization and project needs.

Is 40 too late for data science?

A Data Scientist Research Analyst can enter the field at age 40 or older, as experience, skills, and continuous learning are valued. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or R, and building a strong portfolio or certifications. Age is less important than demonstrated expertise and ongoing development in the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or models to improve efficiency and outcomes.

What is a data research analyst's salary?

A data research analyst's salary typically ranges from $50,000 to $85,000 annually, depending on experience, education, and location. Entry-level positions may start lower, while experienced analysts with advanced skills in statistical software and data visualization tools can earn higher salaries.
More about Data Scientist Research Analyst jobs
What cities are hiring for Data Scientist Research Analyst jobs? Cities with the most Data Scientist Research Analyst job openings:
What states have the most Data Scientist Research Analyst jobs? States with the most job openings for Data Scientist Research Analyst jobs include:
What job categories do people searching Data Scientist Research Analyst jobs look for? The top searched job categories for Data Scientist Research Analyst jobs are:
Data Scientist Research Analyst jobs near you
Infographic showing various Data Scientist Research Analyst job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 33% Full Time, 10% Part Time, 51% Contract, and 4% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Principal Data Scientist, R&D Oncology

Jj

Spring House, PA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

Johnson & Johnson Innovative Medicine is recruiting for a Principal Data Scientist, R&D Oncology to join our Data Science and Digital Health team (DSDH). This position will be located at one of our offices in either Spring House PA (preferred), Cambridge MA, or San Diego CA (La Jolla area). Consideration may be given for our Titusville and Raritan, NJ locations.

ThePrincipal Data Scientist, R&D Oncology will support how we advance data capture, build and optimize data workflows and store data by designing and implementing engineering requirements. This role will focus on applications in Oncology R&D and support data projects from across the business including Clinical, Pre-Clinical, RWD and 'omics platforms. This role will be a leading technical contributor and creative problem solver with developing AI-ready data and other routinely used data applications for Oncology R&D.
Key Responsibilities:

  • Design, develop and maintain data pipelines for acquiring, managing and storing Oncology R&D data from diverse sources (e.g. biomarker labs, real-world data sources, pre-clinical applications)
  • Work closely with Data Science and Oncology R&D partnersto understand,documentand prioritize business requirements. Translate these business needs in to high quality data products.
  • Work closely with other technical leaders, such as Ontology and Knowledge graph Engineers to design and deliver future-proof, AI-ready data systems aligned with Oncology R&D business needs.
  • Develop Oncology R&D-specific data repositories by implementing standard enterprise-level data models and create new data models as needed. Leverage cloud-based technology platform to accomplish goals, such as building and maintaining data repositories using AWS S3.
  • Create and optimize data flows for structured and unstructured data using technologies such as Python, R, SQL, AWS services and other relevant tools.
  • Implement quality and performance standards and measure KPIs to determine accuracy and consistency
  • Leverage and implement data versioning and lineage tracking to support data traceability, compliance, maintaining documentation for data architectures and workflows.
  • In adherence to internal standards, implement software development best practices such as Code Versioning, DevOps.

Required Qualifications:

  • Advanced degree (Master's or equivalent) in Computer Science, Engineering, Life Sciences, or other relevant field is strongly preferred. (Bachelor's Degree with experience equivalency may be considered.)
  • 3+ years of experience in data engineering, including data modeling and database design, preferably in the healthcare industry
  • Proficiency in data engineering tools such as Python, R and SQL for data processing as well as cloud architecture (e.g. AWS services, Redshift, FSx, Glue, Lambda.
  • Experience with unstructured database technologies (e.g. NoSQL) as well as other database types (e.g. Graph).
  • Strong skills in analysis, problem-solving, organizational change, project delivery, and managing external vendors.
  • Proven record leading improvement initiatives with multi-disciplinary and remote partners.
  • Demonstrated stakeholder management capabilities- including requirements gathering, business analysis and planning. Must have the capacity to translate discussions into user requirements and project plans.
  • Ability to manage a numerous projects simultaneously, prioritize work, exhibit organizational skills and flexibility to deliver maximum business value.
  • Willingness to conduct periodic travel (<15% of time) to conferences and internal meetings.

Preferred Qualifications

  • Experience with healthcare data standards (e.g. CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM).
  • Exposure to high dimensional data technologies and handling, including imaging.
  • Familiarity with machine learning operations (MLOps) and model deployment.

This position will be located at one of our offices in either Spring House PA (preferred), Cambridge MA, or San Diego CA (La Jolla area). Consideration may be given for our Titusville and Raritan, NJ locations. (No remote option.)

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is $117,000 to $201,250. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).

Employees are eligible for the following time off benefits:
Vacation - up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year
Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year
Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

#LI-SL
#JNJDataScience
#JNJIMRND-DS
#JRDDS
#LI-Hyrbid

Required Skills:

Preferred Skills:

Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis

Apply