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Data Science Research Jobs (NOW HIRING)

The Data Science Research team leads the creation and development of new products to meet the ever changing needs of the digital advertising industry. We focus on building high performing products ...

... data science, research, and business acumen to promote client-focused innovation. Apply your ... technical skills to projects involving cost-based analytics and cutting-edge GenAI applications ...

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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 Jun 1, 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 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.

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 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.

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.

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 May 2026, with employment types broken down into 1% Internship, 1% As Needed, 89% Full Time, 4% Part Time, 4% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Anesthesiology Faculty - Data Science Research

Anesthesiology Faculty - Data Science Research

University of Maryland, Baltimore

Baltimore, MD • On-site

$69.34K - $164.68K/yr

Full-time

Medical, PTO

Posted 23 days ago


University Of Maryland, Baltimore rating

7.7

Company rating: 7.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

211th of 530 rated colleges and universities


Job description

Job Description
We are seeking an entry-level data scientist, junior faculty to join our clinical data research lab. The ideal candidate will have a strong foundation in statistics, machine learning, and data programming. This position is expected to work in two separate locations, in the STAR-ORC lab located at the UMB campus and at the new University of Maryland-Institute for Health Computing, which is a major computational research hub in North Bethesda that uses next-generation computational analytics to improve health and human disease. The position will be responsible for developing and implementing data analysis pipelines to support a variety of clinical research projects, as well as mathematical modeling to improve predictions and analytic capabilities that merge different kinds of data assets (i.e., clinical, biological, environmental).
Job Duties:
l Lead the data analysis in clinical and laboratory research projects. Join team meetings and provide suggestions in research methodologies and plannings.
l Develop grants applications.
l Develop and maintain data analysis pipelines, including data extraction, cleaning, transformation, quality assurance, pipeline monitoring and maintenance.
l Apply statistical and machine learning methods to support meaningful data analyses.
l Create high-quality and informative graphs and write corresponding manuscript sections to describe the methodology and results in detail for scientific publications.
l Work with other members of the team to design and conduct clinical research studies.
l Collaborate with clinicians and scientists to translate research findings into clinical practice.
l Apply next-generation computational approaches to clinical, biological, and environmental big data assets.
l Integrate high-level mathematics to predict events that are important in health outcomes, including treatment response, hospitalizations, and other end-points.
l Promote analytics that consider bias and improve health equity.
Required Qualifications:
l Strong programming skills in Python, R, or another statistical programming languages.
l Experience with statistical methods (such as descriptive statistics, hypothesis testing, time series analysis, etc.) and machine learning methods (data cleaning, feature engineering, hyperparameter tuning, model evaluation and interpretation).
l Scientific literature search and review skills.
l Excellent analytical and problem-solving skills. Be able to work independently and collaboratively.
l Good communication (written and oral) and interpersonal skills.
l Experience as a good team member or team leader.
Preferred Qualifications:
l Experience with clinical data and clinical research methods.
l Experience with statistical and machine learning libraries and tools, such as Scikit-learn, pandas.
l Experience as a good team member or team leader, autonomy in the health care system clinical analytics field, and pursuing health equity.
l A significant publication record in clinical/health care analytics or healthcare.
l A track record of applications for grant funding in clinical/health care analytics.
l Experience with deep learning and its framework (e.g. Pytorch) is a plus.
Required Education and Experience:
l Doctoral degree in statistics, computer science, data science, or a related field.
l A faculty member at an academic medical center (or equivalent) in good standing at the level of assistant professor or above (rising assistant professors also considered).
l 0-2 years of experience in a data science role.
UMB is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy. If you need a reasonable accommodation for a disability for any part of the employment process, please submit an online or contact . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
Qualifications
Please reference this recruitment advertisement and position number in your cover letter. Interested candidates should use this online portal to submit their cover letter, CV and contact information for three references.
Qualified applicants must have a doctoral degree, professional experience consistent with the faculty rank of Assistant Professor or higher and a track record of independent research funding from diverse sources.
Salary Range - Base Compensation [Research Faculty w/ PhD Degree]
Expected Salary Range: $69,336 to $164,684.
*The referenced salary range reflects base pay, which is based on faculty rank and years in rank. This salary range does not include all components of the Department of Anesthesiology faculty compensation program or pay from participation in Department of Anesthesiology incentive compensation programs. Therefore, the actual compensation paid to the selected candidate may vary from the salary range stated herein. For more information, please contact the hiring department.
The referenced salary range represents the minimum and maximum salaries for this position and is based on the University of Maryland School of Medicine's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.
UMB offers a comprehensive that prioritizes wellness, work/life balance, and professional development. This position participates in a retirement program that must be selected and is effective on your date of hire. Faculty receive a generous leave package that includes over 4 weeks of vacation accrued each year, paid holidays, personal leave, unlimited accrual of sick time, and comprehensive health insurance; professional learning and development programs; tuition remission for employees and their dependents at any University System of Maryland school.
Qualifications
Please reference this recruitment advertisement and position number in your cover letter. Interested candidates should use this online portal to submit their cover letter, CV and contact information for three references.
Qualified applicants must have a doctoral degree, professional experience consistent with the faculty rank of Assistant Professor or higher. Expected rank for this position will be Assistant Professor or higher, however, final rank and tenure status will be commensurate with selected candidate's experience

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