Data Scientist II
Metas Solutions
•
Washington, DC
0
0
0
0
Mid-Senior level
Posted April 4, 2026
Job link
Thinking about this job
Responsibilities
Commitments
Responsibilities
- Advanced Data Analytics and Modeling
- Develop and implement advanced statistical and machine learning models for analysis of large biomedical and clinical datasets.
- Conduct predictive modeling, regression analysis, and other advanced statistical techniques such as Cox regression and longitudinal modeling as well as other modeling techniques.
- Apply artificial intelligence methods such as machine learning, deep learning, and natural language processing (NLP) to biomedical data and research techniques.
- Utilize emerging AI technologies including large language models (LLMs) to synthesize research findings and support knowledge discovery.
- Clinical and Biomedical Data Management
- Support development and maintenance of systems for storing, managing, and analyzing health-related data, including systems such as Federal Information Security Modernization Act (FISMA)-moderate Environment for Health-Related Data about Individuals (FEHRDI).
- Conduct data integration, harmonization, standardization, and data quality assessment across diverse datasets.
- Perform data linkage and longitudinal analysis of clinical and healthcare data including electronic health records and claims data.
- Data Visualization and Reporting
- Develop dashboards, reports, and visualizations to communicate analytical findings to scientific and program stakeholders.
- Utilize analytics and visualization tools such as Tableau, Python, R, Databricks, Spark SQL, and related platforms and tools.
- Document analytical methods, research findings, and technical outputs for internal and external reporting.
- Applied Research and Technology Development
- Participate in biomedical informatics research projects involving data science, AI, machine learning, and clinical data analysis.
- Support development and evaluation of analytic tools and research software for biomedical discovery.
- Collaborate with software engineers and DevOps teams to integrate analytical models into scalable platforms and applications.
- Technical Leadership
- Provide technical guidance and mentorship to junior data scientists and analysts.
- Lead data science tasks within multidisciplinary project teams.
- Contribute to technical documentation, research publications, and presentations as appropriate.
Commitments
Metas Solutions has an " opening" for a talented Data Scientist II based in Washington, DC.
The ideal candidate must be able to work onsite in the Washington, DC metropolitan area (Bethesda, MD) with the ability to provide advanced analytical and technical expertise supporting biomedical informatics research, clinical data analytics, and artificial intelligence initiatives.
Must be US Citizen and with the ability to obtain a US Government security clearance (Public Trust 5) within a reasonable period
Not Met Priorities
What still needs stronger evidence
Requirements
- Minimum of 5 years of experience performing advanced statistical analysis, machine learning, or large-scale data analytics.
- Demonstrated experience working with biomedical, clinical, or public health datasets.
- Proficiency in statistical and programming tools such as R, Python, SAS, and SQL as well as Databricks.
- Experience leading technical data science tasks or mentoring junior staff.
- Experience collaborating with software engineers and DevOps teams to integrate analytical models into scalable platforms and applications
- Experience working with HHS, NIH or federal biomedical research datasets.
- Familiarity with AI/ML frameworks, NLP techniques, and deep learning methods.
- Experience with big data analytics platforms (e.g., Spark, Databricks).
- Knowledge of clinical data standards and interoperability frameworks.
- Experience contributing to biomedical research publications, bioinformatics or applied informatics research projects.
- Must be US Citizen and with the ability to obtain a US Government security clearance (Public Trust 5) within a reasonable period
Preferred Skills
- Experience working with HHS, NIH or federal biomedical research datasets.
- Familiarity with AI/ML frameworks, NLP techniques, and deep learning methods.
- Experience with big data analytics platforms (e.g., Spark, Databricks).
- Knowledge of clinical data standards and interoperability frameworks.
- Experience contributing to biomedical research publications, bioinformatics or applied informatics research projects.
- Must be US Citizen and with the ability to obtain a US Government security clearance (Public Trust 5) within a reasonable period
Education
- (Not required) – Master's degree in data science, biostatistics, computer science, bioinformatics, applied mathematics, or related quantitative field (Ph.D. preferred).
About Us
Metas Solutions excels in providing strategic consulting, program management, and data-driven analytics to federal public health agencies. Our expertise enhances health systems and delivers measurable outcomes, helping agencies achieve their mission. We collaborate with federal partners to implement agile solutions for national public health initiatives, driving impactful change through cutting-edge programs that strengthen communities and promote well-being. See www.metassolutions.com for further details about us and careers with Metas.
Job Description
Metas Solutions has an " opening" for a talented Data Scientist II based in Washington, DC. The ideal candidate must be able to work onsite in the Washington, DC metropolitan area (Bethesda, MD) with the ability to provide advanced analytical and technical expertise supporting biomedical informatics research, clinical data analytics, and artificial intelligence initiatives. This role leads the development and application of statistical models, machine learning algorithms, and data analytics techniques to extract insights from large-scale biomedical and clinical datasets. The Data Scientist II will support the development of secure clinical data systems and contribute to applied research projects advancing data-driven discovery and health informatics.
Responsibilities
Advanced Data Analytics and Modeling
Develop and implement advanced statistical and machine learning models for analysis of large biomedical and clinical datasets.
Conduct predictive modeling, regression analysis, and other advanced statistical techniques such as Cox regression and longitudinal modeling as well as other modeling techniques.
Apply artificial intelligence methods such as machine learning, deep learning, and natural language processing (NLP) to biomedical data and research techniques.
Utilize emerging AI technologies including large language models (LLMs) to synthesize research findings and support knowledge discovery.
Clinical and Biomedical Data Management
Support development and maintenance of systems for storing, managing, and analyzing health-related data, including systems such as Federal Information Security Modernization Act (FISMA)-moderate Environment for Health-Related Data about Individuals (FEHRDI).
Conduct data integration, harmonization, standardization, and data quality assessment across diverse datasets.
Perform data linkage and longitudinal analysis of clinical and healthcare data including electronic health records and claims data.
Data Visualization and Reporting
Develop dashboards, reports, and visualizations to communicate analytical findings to scientific and program stakeholders.
Utilize analytics and visualization tools such as Tableau, Python, R, Databricks, Spark SQL, and related platforms and tools.
Document analytical methods, research findings, and technical outputs for internal and external reporting.
Applied Research and Technology Development
Participate in biomedical informatics research projects involving data science, AI, machine learning, and clinical data analysis.
Support development and evaluation of analytic tools and research software for biomedical discovery.
Collaborate with software engineers and DevOps teams to integrate analytical models into scalable platforms and applications.
Technical Leadership
Provide technical guidance and mentorship to junior data scientists and analysts.
Lead data science tasks within multidisciplinary project teams.
Contribute to technical documentation, research publications, and presentations as appropriate.
Qualifications
Master's degree in data science, biostatistics, computer science, bioinformatics, applied mathematics, or related quantitative field (Ph.D. preferred).
Minimum of 5 years of experience performing advanced statistical analysis, machine learning, or large-scale data analytics.
Demonstrated experience working with biomedical, clinical, or public health datasets.
Proficiency in statistical and programming tools such as R, Python, SAS, and SQL as well as Databricks.
Experience leading technical data science tasks or mentoring junior staff.
Experience collaborating with software engineers and DevOps teams to integrate analytical models into scalable platforms and applications
Additional Qualifications
Experience working with HHS, NIH or federal biomedical research datasets.
Familiarity with AI/ML frameworks, NLP techniques, and deep learning methods.
Experience with big data analytics platforms (e.g., Spark, Databricks).
Knowledge of clinical data standards and interoperability frameworks.
Experience contributing to biomedical research publications, bioinformatics or applied informatics research projects.
Security Requirements
Must be US Citizen and with the ability to obtain a US Government security clearance (Public Trust 5) within a reasonable period
Market competitive salary, commensurate with experience and education
Comprehensive benefits package available, Medical, Dental, Vision and Life Insurance, Paid Time Off (PTO), 401K with company match, growth, and promotion opportunities
We are an Equal Opportunity Employer/Veterans/Disabled
Metas Solutions excels in providing strategic consulting, program management, and data-driven analytics to federal public health agencies. Our expertise enhances health systems and delivers measurable outcomes, helping agencies achieve their mission. We collaborate with federal partners to implement agile solutions for national public health initiatives, driving impactful change through cutting-edge programs that strengthen communities and promote well-being. See www.metassolutions.com for further details about us and careers with Metas.
Job Description
Metas Solutions has an " opening" for a talented Data Scientist II based in Washington, DC. The ideal candidate must be able to work onsite in the Washington, DC metropolitan area (Bethesda, MD) with the ability to provide advanced analytical and technical expertise supporting biomedical informatics research, clinical data analytics, and artificial intelligence initiatives. This role leads the development and application of statistical models, machine learning algorithms, and data analytics techniques to extract insights from large-scale biomedical and clinical datasets. The Data Scientist II will support the development of secure clinical data systems and contribute to applied research projects advancing data-driven discovery and health informatics.
Responsibilities
Advanced Data Analytics and Modeling
Develop and implement advanced statistical and machine learning models for analysis of large biomedical and clinical datasets.
Conduct predictive modeling, regression analysis, and other advanced statistical techniques such as Cox regression and longitudinal modeling as well as other modeling techniques.
Apply artificial intelligence methods such as machine learning, deep learning, and natural language processing (NLP) to biomedical data and research techniques.
Utilize emerging AI technologies including large language models (LLMs) to synthesize research findings and support knowledge discovery.
Clinical and Biomedical Data Management
Support development and maintenance of systems for storing, managing, and analyzing health-related data, including systems such as Federal Information Security Modernization Act (FISMA)-moderate Environment for Health-Related Data about Individuals (FEHRDI).
Conduct data integration, harmonization, standardization, and data quality assessment across diverse datasets.
Perform data linkage and longitudinal analysis of clinical and healthcare data including electronic health records and claims data.
Data Visualization and Reporting
Develop dashboards, reports, and visualizations to communicate analytical findings to scientific and program stakeholders.
Utilize analytics and visualization tools such as Tableau, Python, R, Databricks, Spark SQL, and related platforms and tools.
Document analytical methods, research findings, and technical outputs for internal and external reporting.
Applied Research and Technology Development
Participate in biomedical informatics research projects involving data science, AI, machine learning, and clinical data analysis.
Support development and evaluation of analytic tools and research software for biomedical discovery.
Collaborate with software engineers and DevOps teams to integrate analytical models into scalable platforms and applications.
Technical Leadership
Provide technical guidance and mentorship to junior data scientists and analysts.
Lead data science tasks within multidisciplinary project teams.
Contribute to technical documentation, research publications, and presentations as appropriate.
Qualifications
Master's degree in data science, biostatistics, computer science, bioinformatics, applied mathematics, or related quantitative field (Ph.D. preferred).
Minimum of 5 years of experience performing advanced statistical analysis, machine learning, or large-scale data analytics.
Demonstrated experience working with biomedical, clinical, or public health datasets.
Proficiency in statistical and programming tools such as R, Python, SAS, and SQL as well as Databricks.
Experience leading technical data science tasks or mentoring junior staff.
Experience collaborating with software engineers and DevOps teams to integrate analytical models into scalable platforms and applications
Additional Qualifications
Experience working with HHS, NIH or federal biomedical research datasets.
Familiarity with AI/ML frameworks, NLP techniques, and deep learning methods.
Experience with big data analytics platforms (e.g., Spark, Databricks).
Knowledge of clinical data standards and interoperability frameworks.
Experience contributing to biomedical research publications, bioinformatics or applied informatics research projects.
Security Requirements
Must be US Citizen and with the ability to obtain a US Government security clearance (Public Trust 5) within a reasonable period
Market competitive salary, commensurate with experience and education
Comprehensive benefits package available, Medical, Dental, Vision and Life Insurance, Paid Time Off (PTO), 401K with company match, growth, and promotion opportunities
We are an Equal Opportunity Employer/Veterans/Disabled