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Manager Research Data Scientist Jobs (NOW HIRING)

Research Data Scientist (Cedars-Sinai Medical Center; West Hollywood, CA): Participate in biomedical research projects using programming, data mining, statistics, machine learning, and visualization ...

The Research Scientist designs and executes high-quality computational analyses within an expanding portfolio of transplant-focused operations research studies within the Center for Surgical and ...

Research Data Scientist 1

Bellevue, WA · Remote

$95K - $106K/yr

The Research Data Science team builds innovative solutions for iSpot's audience measures, attribution and lift analytics, and creative testing. After developing new methodologies and building ...

Research Data Scientist 1

Bellevue, WA · On-site

$95K - $106K/yr

The Research Data Science team builds innovative solutions for iSpot's audience measures, attribution and lift analytics, and creative testing. After developing new methodologies and building ...

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How much do manager research data scientist jobs pay per year?

As of Jun 9, 2026, the average yearly pay for manager research data scientist 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.

How does a Manager Research Data Scientist typically collaborate with cross-functional teams within an organization?

As a Manager Research Data Scientist, you will frequently work with stakeholders across departments such as engineering, product, and business strategy. You'll be responsible for translating complex data findings into actionable insights, often presenting results to non-technical audiences. Collaboration involves leading data-driven projects, aligning research goals with business objectives, and mentoring junior data scientists. Building strong communication channels and fostering a culture of knowledge sharing are key aspects of success in this role.

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

To thrive as a Manager Research Data Scientist, you need a strong background in statistics, data analysis, machine learning, and a relevant advanced degree such as a Master's or Ph.D. in a quantitative field. Experience with programming languages like Python or R, familiarity with data visualization tools, and knowledge of big data platforms (e.g., Hadoop, Spark) are typically required, along with project management certifications being a plus. Leadership, communication, and critical thinking are essential soft skills to effectively manage teams and convey complex findings to stakeholders. These skills are crucial for driving impactful research initiatives, leading data science teams, and ensuring actionable insights align with organizational goals.

What does a Manager Research Data Scientist do?

A Manager Research Data Scientist leads a team of data scientists in designing and executing research projects that utilize large datasets to uncover insights and inform business decisions. They oversee the development of data models, statistical analyses, and machine learning algorithms, ensuring the quality and integrity of research outcomes. In addition to technical expertise, they manage project timelines, mentor team members, and collaborate with stakeholders to translate complex data findings into actionable strategies. Their role bridges advanced analytics with organizational goals, driving innovation and data-driven decision-making.
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Research Data Scientist

Research Data Scientist

Cedars Sinai

West Hollywood, CA • On-site

$94K - $161K/yr

Other

Posted 3 days ago


Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

36th of 995 rated hospitals


Job description

Research Data Scientist (Cedars-Sinai Medical Center; West Hollywood, CA): Participate in biomedical research projects using programming, data mining, statistics, machine learning, and visualization techniques to lead the development, evaluation, and application of algorithms, methods, and software for data analysis. Lead the development, evaluation, and application of computational and statistical methods including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data. Lead with the presentation and communication of scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications. Create database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL, neo4j). Create sustainable data science infrastructure and adheres to data analysis/machine learning best practices. Perform data cleaning, quality control, exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods. Lead discussions with senior and lead research data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions. Test and validate code to ensure robustness of data applications with version control through GitHub. Telecommuting permitted pursuant to company policy.

Minimum requirements: Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Applied Mathematics, or related field, plus two (2) years of experience as a Research Data Scientist, Associate Programmer Analyst, or related occupation.

Must have experience with the following: working with biomedical data in healthcare or pharmaceutical industries; evolutionary computing: genetic algorithm and genetic programming; automated machine learning analysis methods: the tree-based pipeline optimization tool; working with biomedical knowledge graphs; peer-reviewed publications; and working with both clinical data and genetics data.

Salary: $94,800 - $161,000 per year

To Apply: Any interested applicant may click on the APPLY NOW button above to apply for this position.

Req ID: 16436


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