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Data Science Research Jobs (NOW HIRING)

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

AI for Science, Research Intelligence & Knowledge Discovery Lead the Teams Building AI That ... At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps.

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

AI for Science, Research Intelligence & Knowledge Discovery Lead the Teams Building AI That ... At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps.

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

AI for Science, Research Intelligence & Knowledge Discovery Lead the Teams Building AI That ... At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps.

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

AI for Science, Research Intelligence & Knowledge Discovery Lead the Teams Building AI That ... At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps.

$83 - $138/hr

Design and execute research projects using internal client data. * Communicate complex quantitative ... Advanced degree (PhD preferred) in a quantitative social science field, or equivalent experience

Showing results 21-40

Data Science Research information

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$37.5K

$122.7K

$196.5K

How much do data science research jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data science research in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is data science research?

Data science research involves using scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Researchers in this field work on developing new data analysis techniques, machine learning models, and data-driven solutions to solve complex problems. The work often includes designing experiments, analyzing large datasets, and publishing findings to advance the understanding of data science methodologies.

How does a data science researcher typically collaborate with other departments within an organization?

Data Science Researchers frequently work cross-functionally, collaborating with teams such as engineering, product management, and business analytics. They often translate complex research findings into actionable insights, guiding product development or business strategies. Regular meetings, joint project planning, and code reviews are common, ensuring that research outcomes align with organizational goals. Effective communication and teamwork are key to integrating advanced data solutions into real-world applications.

What are the key skills and qualifications needed to thrive as a data science researcher, and why are they important?

To thrive as a Data Science Researcher, you need strong analytical skills, expertise in statistics and machine learning, and an advanced degree in a quantitative field such as computer science, mathematics, or engineering. Proficiency with programming languages like Python or R, data visualization tools, and experience using platforms such as TensorFlow or PyTorch is typically required. Curiosity, creativity, and clear communication are essential soft skills for designing research questions, interpreting results, and sharing findings with diverse audiences. These skills and qualities are crucial for driving innovative solutions and impactful insights in data-driven environments.

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

AspectData Science ResearchData Analyst
CredentialsTypically requires advanced degrees (Master's or PhD) in Data Science, Statistics, or related fieldsOften requires a Bachelor's or Master's degree in Data Analysis, Statistics, or related areas
Work EnvironmentResearch labs, academic institutions, or R&D departments within companiesBusiness environments, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutions, tech companies focusing on innovationRetail, finance, healthcare, and other industries focusing on data-driven decision making

Data Science Research focuses on developing new algorithms, models, and theories, often in academic or R&D settings. In contrast, Data Analysts primarily interpret existing data to generate reports and insights for business decisions. Both roles require strong analytical skills but differ in scope, goals, and work environment.

What do data science researchers do?

Data science researchers analyze large datasets to identify patterns, develop models, and generate insights that inform decision-making. They often use programming languages like Python or R, and tools such as machine learning algorithms and statistical methods. Their work typically involves experimentation, data cleaning, and collaboration with other teams to solve complex problems.
More about Data Science Research jobs

What cities are hiring for Data Science Research jobs?

Cities with the most Data Science Research job openings:

What are the most commonly searched types of Data Science Research jobs?

The most popular types of Data Science Research jobs are:

What states have the most Data Science Research jobs?

States with the most job openings for Data Science Research jobs include:

Infographic showing various Data Science Research job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Morgan Health - Data Science & Research - Senior Associate

J.P. Morgan

Washington, DC • On-site

Full-time

Medical, Retirement

Posted 13 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

We are seeking a Senior Associate to join our Morgan Health team! Morgan Health is focused on improving the quality, equity, and affordability of employer-sponsored health care in the United States. We pursue this strategy through investments, collaborations with the JPMorgan Chase Benefits team, engagement with other market leaders, sophisticated data analytics and research, and policy advocacy. Morgan Health is headquartered in Washington, DC, with team members also based in New York City and Boston. To learn more about our strategy and latest developments, please visit: www.morganhealth.com.

As a Senior Associate - Data Science & Research in Morgan Health, you will be responsible for querying, compiling, manipulating, and synthesizing large volumes of health-related data - including medical and pharmacy claims, survey data, and biometrics. In this role, you will design creative solutions and novel methodologies that enable Morgan Health and its business partners to make data-driven decisions and generate new insights for the employer-sponsored insurance industry. You are a self-motivated problem solver with strong analytics and communication skills who enjoys working in teams and creates value by aligning insights with business objectives.

Job Responsibilities:

  • Work across Morgan Health to review business needs and translate them into data-driven analytics projects, implementing approaches to scale or automate processes where applicable 
  • Implement creative and efficient solutions to clean, join, and analyze data while adhering to HIPAA and firm-wide data use guidelines
  • Identify relevant data sources (including insurance claims, biometrics results, survey results, public or licensed data), understand their context and limitations, and proactively investigate and solve data quality issues 
  • Collaborate with other data scientists and engineers to build well-documented, high-quality and efficient code, data architecture, and data transformations in Python and SQL
  • Propose novel research questions or methodologies to solve questions relevant to employer-sponsored insurance
  • Compile externally-facing research briefs and papers that showcase insights relevant to other employers and the broader health care industry
  • Review and validate analysis findings to ensure data quality and integrity
  • Manage relationships with key stakeholders to balance multiple projects within a matrixed environment
  • Communicate analytics concepts and insights with non-technical teammates and stakeholders

Required Qualifications, Capabilities, and Skills

  • Bachelor's or Master's degree in a quantitative field including, but not limited to statistics, engineering, math, analytics, computer science, public health, operations research, or economics
  • 4+ years of professional experience in hands-on analytics work, including relational database structures, data wrangling, common coding languages, and analytical and data visualization tools (e.g. SQL, Python, R; ggplot, seaborn, Tableau)
  • Understanding of applied statistics, including controlled regressions and propensity-score matching
  • Proven ability to successfully multitask effectively and deliver results with limited supervision
  • Experience creating analytics presentations with strong attention to detail
  • Excellent verbal and written communication skills, especially when delivering analytical results to non-technical stakeholders
  • Team-oriented attitude and proven collaborator

Preferred Qualifications, Capabilities, and Skills

  • Health care experience, ideally in a payer or provider setting 
  • Experience working with medical and pharmaceutical claims data, including standard groupers, common data transformations, and population health metrics
  • Experience with survey research methods and familiarity with qualitative or unstructured data
  • Experience with machine learning techniques including clustering, decision trees, and predictive modeling
  • Extensive content knowledge of U.S. healthcare system, including understanding common business questions about the commercially insured population, value-based care, and point solutions serving the employer-sponsored insurance market
  • Master's degree or PhD with a focus on health care analytics, operations research, data science, statistics or engineering
  • Peer-reviewed research outputs in fields including applied statistics, health care analytics, informatics, operations, and medicine

To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.