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US Executive Office for U.S. Attorneys and the Office of the U.S. Attorneys

Data Scientist

QinetiQ

<div>Company Overview:
<div>
We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).</div><div></div><div><br>
QinetiQ US&rsquo;s dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.</div><div></div><div><b><br>
Why Join QinetiQ US?</b></div><div></div><div><br>
If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems. In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.</div>
Position Overview:
<div>
QinetiQ US seeks a talented Mid-Level Data Scientist to support a federal law enforcement agency client. This role supports the collection, analysis, and interpretation of complex law enforcement data to drive data quality improvements and enhance operational efficiency for the agency.<br>
Working under the guidance of senior team members, you will utilize platforms such as Databricks, Oracle (OBIEE/OAS), UiPath, Python, R, VBA, and SQL to identify data quality issues, develop automated solutions, and extract insights from complex datasets supporting agency operations. You should be able to communicate technical findings effectively to federal government clients and law enforcement personnel.</div><br>
<div></div>
Responsibilities:
<h3 class="jobSectionHeader"><b>Data Quality Analysis &amp; Support</b></h3><ul><li>
Apply mathematical methods to statistically analyze agency datasets using R or Python to identify data quality issues and patterns</li><li>
Support development and implementation of predictive modeling for early detection of data quality problems</li><li>
Assist in developing algorithms for automated data quality validation and error remediation</li><li>
Support implementation of the Data Analysis Epicycle and assist with multiple correspondence analysis (MCA), principal component analysis (PCA), and association rule mining on law enforcement data</li></ul><h3 class="jobSectionHeader"><b>
Technology Platform Support</b></h3><ul><li>
Work with platforms including: Databricks, Oracle (OBIEE/OAS), UiPath, VBA, Python, R, SQL, and data visualization tools</li><li>
Support development of automation tools for data quality monitoring and remediation</li><li>
Perform queries, conduct analysis, and produce reports utilizing SQL, Python, R, MS Access, and MS Excel</li><li>
Assist in creating and maintaining automated workflows using UiPath</li></ul><h3 class="jobSectionHeader"><b>
Data Engineering &amp; Integration</b></h3><ul><li>
Assist in development of data quality validation processes for agency systems</li><li>
Support work with federal law enforcement categorical data from flat files, data warehouses, and external sources</li><li>
Help maintain data accuracy and integrity processes for agency reporting systems</li><li>
Support extract, transform, load (ETL) operations with data quality checkpoints</li><li>
Assist in ensuring accuracy of data uploaded to UIP DQI Verify</li></ul><h3 class="jobSectionHeader"><b>
Reporting &amp; Communication</b></h3><ul><li>
Assist in producing executive-level summary reports of data quality analysis results using RMarkdown or Jupyter Notebook</li><li>
Support creation of audit reports for agency Dashboards ensuring accuracy, completeness, and usability standards</li><li>
Participate in monthly teleconferences with field offices and data quality POCs</li><li>
Create visualizations and dashboards that effectively communicate data quality metrics and trends</li></ul><h3 class="jobSectionHeader"><b>
DQI Operations Support</b></h3><ul><li>
Help identify potential agency data quality issues and support development of resolution methods</li><li>
Assist in addressing training gaps and providing recommendations for system usability improvements</li><li>
Support evaluation and resolution of historical data errors in law enforcement systems</li><li>
Contribute to development of training materials and documentation in Confluence</li><li>
Assist with monitoring and responding to agency mailbox inquiries</li></ul><h3 class="jobSectionHeader"><b>
Quality Assurance Support</b></h3><ul><li>
Support audits of agency Dashboards for accuracy, format, completeness, and usability</li><li>
Assist in validation of titles, footnotes, data sources, and underlying data</li><li>
Help leverage audit results to inform future data quality priorities</li><li>
Contribute to development of data quality standards and best practices</li></ul><br>
<div></div>
Required Qualifications:
<h3 class="jobSectionHeader"><b>Education &amp; Experience</b></h3><ul><li>
Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Information Systems, Business Analytics, or related technical field</li><li>
Minimum 3+ years of relevant data science and analytics experience</li></ul><h3 class="jobSectionHeader"><b>
Technical Skills</b></h3><ul><li>
Proficiency in Python, R, and SQL, with familiarity in statistical and data analytical software including Databricks and Oracle systems</li><li>
Experience with VBA and basic automation tools</li><li>
Ability to produce summary reports using RMarkdown or Jupyter Notebook</li><li>
Experience with data analysis methodologies and statistical techniques such as multiple correspondence analysis (MCA), principal component analysis (PCA), and association rule mining</li><li>
Experience working with government or enterprise data from various sources</li></ul><h3 class="jobSectionHeader"><b>
Federal Experience</b></h3><ul><li>
Interest in supporting federal law enforcement agencies and understanding of government data requirements</li><li>
Ability to communicate technical concepts clearly to federal government stakeholders and law enforcement personnel</li><li>
Understanding of data security and compliance requirements in government environments</li></ul><h1 class="jobSectionHeader"><b>
Security Requirements</b></h1><ul><li>
Ability to obtain and maintain appropriate federal security clearance.</li><li>
Background investigation required.</li><li>
Must be U.S. citizen.</li></ul>
Preferred Qualifications:
<ul><li>Experience supporting DHS operations or similar law enforcement data systems</li><li>
Experience with federal homeland security or immigration enforcement data initiatives</li><li>
Knowledge of data quality frameworks and best practices in government environments</li><li>
Experience with dashboard development and data visualization for law enforcement operations</li><li>
Familiarity with federal data governance and compliance requirements</li></ul><div><b>
Professional Certifications (Optional):</b></div><ul><li><b>
Advanced Data Science</b>: Certified Senior Data Scientist (CSDS); Certified Analytics Professional (CAP)</li><li><b>
Automation &amp; Integration</b>: UiPath Advanced RPA Developer; Oracle Analytics Cloud certifications</li><li><b>
Machine Learning and AI</b>: Microsoft Azure AI Engineer Associate; AWS Certified Machine Learning; Databricks Machine Learning Professional</li></ul>
Company EEO Statement:<div></div><div><b><br>
Accessibility/Accommodation:</b></div><div>
If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information.</div><div></div><div><br>
QinetiQ US is an Equal Opportunity/Affirmative Action employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.</div></div>

Data Scientist II

Council for the Advancement and Support of Education

CASE is a global not-for-profit and membership association whose vision is to advance education to transform lives and society. Our mission is to inspire, challenge and equip communities of professionals to act effectively and with integrity to champion the success of their institutions. CASE serves over 90,000 advancement practitioners at nearly 3,000 member institutions, advancing education in 72 countries, with support from more than 4,000 volunteers.
<br><br>
Broad and growing communities of professional practice gather under the global CASE umbrella. Currently these include advancement services, alumni relations, communications, fundraising, government relations, institutional leadership and marketing. Individual members are at all stages of their career and may be working in universities, schools, colleges, cultural organizations or other not-for-profits. CASE membership also includes many corporate partners. CASE uses the intellectual capital and professional talents of an army of volunteers to advance its work.
<br><br>
Headquartered in Washington, DC, CASE works across all continents from its regional offices in London, Singapore and Mexico City. CASE works to achieve a seamless experience for all its stakeholders: particularly its members, volunteers and staff. Working together across time zones and borders, CASE staff in all offices seek to make the ambitious OneCASE aspiration a reality.
<br><br>
<b>Title:</b> Data Science Analyst
<br><b>Division:</b> Data, Research & Technology
<br><b>Department:</b> Research
<br><b>Status:</b> Full-time, Exempt, must be authorized to work in US, no sponsorship
<br><b>Total Direct Reports:</b> none
<br><b>Location:</b> Washington DC only local candidates will be considered
<br><br>
<b>Compensation:</b> $80,000 to $100,000 depending on experience. Full-time, exempt level employee are eligible for various benefits including vacation and sick leave, paid holidays, health insurance, dental insurance, life insurance, long-term and short-term disability insurance, flexible spending plans, employee assistance plan, legal resources plans, tuition reimbursement, and participation in CASE’s retirement plan. CASE is eligible for the Public Service Loan Forgiveness (PSLF) program.
<br><br>
POSITION PURPOSE
<br><br>
The Data Science Analyst will support the Director of Data Science in providing complex analyses and critical reports foundational to strategic, revenue-generating data and research services. This role involves assisting in data collection, management, reporting systems, and developing software to support data cleaning, analysis, visualization, and reporting. The Data Science Analyst will also collaborate with colleagues to enhance data management, task automation, and support data-driven decision-making.
<br><br>
ESSENTIAL FUNCTIONS
<br><br>
<b>Data Analysis and Visualization:</b><br>
<ul>
<li>Assist in conducting data analysis and developing visualizations for reports and presentations.</li>
<li>Support the design and automation of data reports, benchmarking tools, and other data resources.</li>
</ul>
<b>Collaboration and Support:</b><br>
<ul>
<li>Work with the Director of Data Science and other team members on data management systems, processes, and platforms.</li>
<li>Provide support in maintaining and enhancing product roadmaps for complimentary and revenue-generating products and services.</li>
</ul>
<b>Training and Development:</b><br>
<ul>
<li>Assist in delivering presentations and conducting trainings for members.</li>
<li>Develop training resources and contribute to thought leadership content.</li>
</ul>
<b>Technical Expertise:</b><br>
<ul>
<li>Serve as a technical support resource, providing guidance on data science, analytics, reporting, and benchmarking tools.</li>
</ul>
Project/Activity Management
<br><br>
Fiscal Management/Budget Responsibilities/Judicious Use of Resources
<br><ul>
<li>Contribute to budgeted services sales revenue by supporting the development of revenue-generating products.</li>
<li>Manage expenses relative to budget and exercise fiscal responsibility.</li>
</ul>
Liaison Responsibilities
<br><ul>
<li>Work cooperatively and supportively with volunteers and senior staff.</li>
<li>Collaborate with colleagues to analyze existing data, seek opportunities for new data acquisition, and develop insights and reports</li>
</ul>
Image Responsibilities
<br><br>
<ul>
<li>High degree of professionalism, accuracy, and ethics, in all activities, services, and products.</li>
</ul>
Performs other duties and responsibilities as assigned by the Supervisor.
<br><br>
<b>JOB COMPLEXITY AND KNOWLEDGE:</b><br>
<ul>
<li>Work with a high level of autonomy and independence, discretion, confidentiality, and diplomacy.</li>
<li>Interact with staff and stakeholders globally, managing time and prioritization of tasks effectively.</li>
</ul>
<b>PROBLEM SOLVING AND JUDGEMENT:</b><br>
<ul>
<li>Utilize high-level judgement and problem-solving skills to conduct new analyses and program reports.</li>
<li>Maintain professionalism and integrity in all tasks.</li>
</ul>
Professional and Organizational Knowledge
<br><br>
<ul>
<li>The position requires that the incumbent quickly develop a deep understanding of CASE, its policies and procedures and an understanding of the culture and regional and divisional interdependencies.</li>
<li>The position requires a deep understanding and respect for the organization’s systems and workflow.</li>
</ul>
POSITION REQUIREMENTS
<br><br>
<b>Education and Experience:</b><br>
<ul>
<li>Bachelor’s degree in statistics, data science, computer science, information technology, economics, business administration, or related discipline.</li>
<li>One to three years’ experience with data science techniques and processes.</li>
<li>Experience in research or data analyst roles, including development of data analytics and visualizations.</li>
</ul>
<b>Skills and Abilities:</b><br>
<ul>
<li>Strong critical thinking and problem-solving skills.</li>
<li>Proficiency in coding languages and tools such as Python, R, Excel, SQL, SPSS, PowerBI, SAS, Tableau, OracleBI, IBM Cognos, Google Analytics.</li>
<li>Proficiency in Microsoft Office (Word, PowerPoint).</li>
<li>Strong communication skills to convey technical concepts to non-specialist audiences.</li>
<li>Commitment to inclusive excellence.</li>
<li>Project management, accountability, time management, and continuous improvement skills.</li>
<li>Ability to work independently and as a team player in a rapid-response business environment.</li>
</ul>
CASE is a global not-for-profit and membership association whose vision is to advance education to transform lives and society. Its mission is to inspire, challenge and equip communities of professionals to act effectively and with integrity to champion the success of their institutions. Advancing education in over 3,000 member institutions, CASE has 80,000 members in 80 countries.
<br><br>
Broad and growing communities of professional practice gather under the global CASE umbrella. Currently these include alumni relations, development services, digital, communications, fundraising, government relations, marketing and web. Individual members are at all stages of their career and may be working in universities, schools, colleges, cultural organizations or other not-for-profits. CASE membership also includes many corporate partners. CASE uses the intellectual capital and professional talents of an army of volunteers to advance its work.
<br><br>
Headquartered in Washington, DC, CASE works across all continents from its regional offices in London, Singapore and Mexico City. CASE works to achieve a seamless experience for all its stakeholders: particularly its members, volunteers and staff. Working together across time zones and borders, CASE staff in all offices seek to make the ambitious OneCASE aspiration a reality.
<br><br>
<b>Alternative Work Arrangement:</b> As of January 1, 2022, CASE implemented an Alternative Work Arrangement policy where, after 4 weeks of employment, eligible staff are given the opportunity to work from home up to 2 days per week and in office 3 days per week.
<br><br>
Management reserves the right to review and revise this document at any time. This document represents a description of intended job content, and should not be construed in any way to be a contract of employment.
<br><br>
<b>Alternative Work Arrangement:</b> After 4 weeks of employment, eligible staff are given the opportunity to work from home up to 2 days per week and in-office 3 days per week.
<br><br>
Management reserves the right to review and revise this document at any time. This document represents a description of intended job content, and should not be construed in any way to be a contract of employment.
<br><br>
Thank you for your interest. Only the selected candidates will be contacted for an interview.

Data Science Analyst

National Association of Home Builders

<div><p>As one of the most influential trade associations in the Washington, D.C. area, NAHB is an exciting and rewarding place to work. Our people help serve, promote and support the home building industry through aggressive legislative action, policy development, legal services, economic forecasting and analysis, education and more.</p>
<p>
At NAHB, we know that our people are our most valuable resource. We go to great lengths to attract and retain proven professionals, and to develop quality leadership for our future. NAHB proudly supports its staff through:</p>
<ul>
<li>Competitive benefits</li>
<li>State-of-the-art technology</li>
<li>Promoting from within</li>
<li>Recognizing organizational commitment and tenure</li>
<li>Rewarding excellence</li>
</ul>
<p>If you want to contribute to every American&rsquo;s dream of homeownership, and you thrive in a fast-paced, challenging environment, check our employment opportunities below to see if there is a position that matches your skills and experience.</p>
<p>
If you are interested in career opportunities with NAHB&rsquo;s affiliates and subsidiaries, visit HBI and the Home Innovation Research Labs for further details. NAHB is an Equal Opportunity Employer.</p></div>
<br><div>Data Analyst</div>
<br><div><p><b>Group:</b> Federation and Member Services</p>
<p>
NAHB is seeking a data analyst to support its Federation and Member Services (FMS) team by delivering actionable insights that drive member engagement, program adoption and strategic decision-making. This is a unique opportunity for a data-driven professional to shape membership strategy and enhance services for home builder associations (HBAs) nationwide.</p>
<p><b>
Key Duties and Responsibilities:</b></p>
<ul>
<li>Extract, analyze and synthesize data from diverse sources including customer relationship management (CRM) systems, membership campaigns, surveys and engagement platforms. Visualize findings using tools such as Excel and Tableau. Identify trends and predictive indicators to support HBA health and membership retention.</li>
<li>Leverage data to increase adoption of key programs such as Touch, Common Application Form (CAF) and membership awards. Collaborate with leadership to develop strategies that promote program usage and continuous improvement.</li>
<li>Identify gaps and opportunities in existing services. Recommend and help develop new tools and products to support local membership operations.</li>
<li>Build dynamic dashboards and reporting tools that integrate multiple data streams. Work with senior leadership to define key performance indicators (KPIs) and ensure timely access to performance metrics.</li>
<li>Provide responsive support to internal and external stakeholders. Communicate clearly and effectively to promote NAHB&rsquo;s mission and values.</li>
</ul>
<p><b>Preferred Skills:</b></p>
<ul>
<li>Strong analytical and data visualization skills using Excel, Tableau or similar tools.</li>
<li>Experience in data mining, segmentation and regression analysis.</li>
<li>Ability to collaborate across teams and build consensus.</li>
<li>Excellent written and verbal communication skills.</li>
<li>Experience delivering analysis from disparate data sources to operational and strategic decision-making.
</li></ul><p><b>Qualifications:</b></p>
<ul>
<li>Bachelor&rsquo;s degree in business management, data analytics or a related field (or equivalent combination of education and experience).</li>
<li>Minimum of two years of experience in data systems development, program analysis or chapter relations.</li>
<li>Experience working with volunteers, committees or field support teams is a plus.</li>
<li>In-office hybrid schedule, three days a week in person.</li>
</ul>
<p><b>Salary Range:</b></p>
<p>
The salary range for this position is $70,000-$75,000 annualized based on skills and experience.</p>
<p>
To apply for this position, please submit this application.</p>
<p><i>
Equal Opportunity Employer</i></p></div>

Data Analyst

Danaher

<div><p>At Danaher, our work saves lives. And each of us plays a part. Fueled by our culture of continuous improvement, we turn ideas into impact &ndash; innovating at the speed of life.</p><p></p><p>
Our 63,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnology.</p><p></p><p>
Are you ready to accelerate your potential and make a real difference? At Danaher, you can build an incredible career at a leading science and technology company, where we&rsquo;re committed to hiring and developing from within. You&rsquo;ll thrive in a culture of belonging where you and your unique viewpoint matter.</p><p></p><p>
Learn about the Danaher Business System which makes everything possible.</p><p></p><p>
The Staff Data Engineer is responsible for designing and developing high-quality, scalable data solutions that support business analytics, AI, and enterprise solutions across Danaher. In this senior role, you will play a critical part in assessing and improving data availability and quality across multiple enterprise systems, ensuring our data foundation supports actionable insights and innovation.</p><p><br>
This position reports to the Senior Director, Enterprise Data &amp; Analytics Platforms and is part of the Danaher Corporate IT team and will be fully remote with frequent travel to Washington DC and global Danaher sites.</p><p></p><p><b>
In this role, you will have the opportunity to:</b></p><ul><li>
Build and maintain robust pipelines and architectures to meet enterprise-wide analytics and reporting needs, ensuring high-quality, scalable, and performant solutions.</li><li>
Work in 2-week sprint cycles, iteratively delivering business value and continuously improving data solutions.</li><li>
Assess and improve data quality &ndash; Evaluate data availability and quality across enterprise sources (Oracle EBS, SAP, Microsoft Dynamics, Salesforce, and Snowflake) and implement solutions such as improved ETL/ELT processes and data cleansing.</li><li>
Partner with business stakeholders and Data &amp; Analytics teams across Danaher operating companies to translate requirements into technical specifications and unify data from disparate systems.</li><li>
Ensure all data engineering solutions align with enterprise governance, security, and compliance standards, including data privacy and access controls.</li></ul><p></p><p><b>
The essential requirements of the job include:</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.</li><li>
10+ years of hands-on experience with data engineering technologies such as SQL, ETL/ELT frameworks, data warehousing platforms (e.g., Teradata, Oracle, Redshift, Snowflake), and programming/scripting languages and frameworks (e.g., Python, PySpark).</li><li>
Deep expertise in cloud data warehousing, especially with Snowflake, and familiarity with equivalent platforms (e.g., Amazon Redshift, Google BigQuery, or Azure Synapse Analytics).</li><li>
Hands-on experience with cloud ecosystems in Microsoft Azure and Amazon Web Services (AWS), leveraging their data storage, integration, and analytics services (such as Azure Data Lake, Azure Data Factory, Databricks, or AWS S3, AWS Glue).</li><li>
Strong experience working with data from enterprise systems such as Oracle EBS, SAP ERP, Microsoft Dynamics, and Salesforce CRM, with proven ability to extract, integrate, and model data from these sources.</li></ul><p></p><p><b>
Travel, Motor Vehicle Record &amp; Physical/Environment Requirements:</b></p><ul><li>
Ability to travel to Washington DC and global Danaher sites, up to 10%</li></ul><p></p><p><b>
It would be a plus if you also possess previous experience in:</b></p><ul><li>
The Danaher Business System (DBS) or other lean business methodology in Information Technology</li><li>
Professional certifications such as Snowflake certifications (e.g., SnowPro Core) or cloud/data engineering certifications (AWS, GCP, Azure).</li><li>
Experience with dbt, Fivetran, Boomi, orchestration tools (e.g., Azure Data Factory), CI/CD for data pipelines, and cloud platforms (AWS, Azure, GCP).</li></ul><p></p><p>
Danaher offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it&rsquo;s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info.</p><p>
At Danaher, we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Danaher can provide.</p><p></p><p>
The annual salary range OR the hourly range for this role is $130K-$160K. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future.</p><p>
This job is also eligible for bonus/incentive pay.</p><p></p><p>
We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.</p><p></p><p>
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.</p><p>
Join our winning team today. Together, we&rsquo;ll accelerate the real-life impact of tomorrow&rsquo;s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
</p><p></p><p>For more information, visit www.danaher.com.</p></div><p></p>

Staff Data Engineer

The Joint Commission

<div>Overview:
<div>
Joint Commission seeks a highly skilled and motivated Healthcare Data Analyst to support a growing portfolio of research and analytics initiatives that inform quality improvement, accreditation strategy, certification programs, and system-level learning. Working directly with the Vice President and Chief Research Officer as well as Research Scientists, help prepare and analyze complex healthcare datasets and contribute to the preparation of manuscripts for peer-reviewed journals, technical memos, and other materials for internal and external stakeholders. This is a hands-on role requiring technical rigor, independent execution, and a strong sense of mission.</div>
Responsibilities:
<ul><li>Prepare, clean, merge, and manage healthcare datasets from a variety of sources, including patient-level EHR data, accreditation and certification records, and administrative claims (e.g., Medicare, Medicaid).</li><li>
Extract and manipulate data from relational databases using SQL and/or other tools available.</li><li>
Conduct statistical analyses using established and novel methods under the direction of research leadership; contribute to reproducible and well-documented analytic workflows.</li><li>
Use statistical programming languages (e.g., R, Stata, Python) to create summary statistics, data visualizations, and analytic tables for use in research analysis, internal strategy documents, policy briefs, and peer-reviewed publications.</li><li>
Maintain detailed documentation of data sources, definitions, programming steps, and quality checks to ensure transparency and reproducibility.</li><li>
Coordinate with research scientists and other stakeholders to ensure alignment of analytic deliverables with study objectives and timelines.</li><li>
Contribute to the preparation of manuscripts for peer-reviewed journals, technical memos, data briefs, and presentation materials for internal decision-making and external dissemination.</li><li>
Learn and apply new statistical and database extraction tools as required.</li></ul>
Qualifications:
<div><b>
Required Qualifications:</b></div><ul><li>
Bachelor&rsquo;s degree or equivalent training in a quantitative field such as biostatistics, economics, epidemiology, health services research, data science, or a related discipline.</li><li>
MInimum 2 years experience working with healthcare data in an applied research or evaluation setting.</li><li>
Fluency in statistical programming languages such as R, Stata, or Python, including the ability to independently clean, manipulate, and analyze large datasets.</li><li>
Proficiency in extracting and managing data from structured databases using SQL.</li><li>
Experience working with real-world healthcare data such as EHRs, claims, or quality reporting metrics.</li><li>
Meticulous attention to detail and commitment to reproducible, well-documented analytics.</li><li>
Strong organizational and communication skills, including the ability to collaborate across projects and adapt to evolving priorities.</li><li>
Commitment to Joint Commission&rsquo;s mission to improve healthcare quality and safety.</li></ul><div><b>
Preferred Qualifications:</b></div><ul><li>
Experience supporting research using causal inference methods (e.g., difference-in-differences, instrumental variables).</li><li>
Experience contributing to or co-authoring peer-reviewed journal publications.</li><li>
Experience translating complex analytic findings for non-technical stakeholders.</li><li>
Prior work in a mission-driven organization or collaborative research environment.</li></ul><div></div><div><b><br>
We offer a comprehensive benefit package. For a complete overview of our benefits package, please visit our </b><b>Joint Commission Career Page</b></div>
Min: USD $80,000.00/year Max: USD $103,500.00/year</div>

Healthcare Data Analyst

Booz Allen Hamilton

<div>Robotics Engineer and Interdisciplinary Scientist<p><b>
The Opportunity:
</b></p><p>To achieve an organization&rsquo;s mission, leaders need strong team members who can create processes, communicate requirements, and develop innovative solutions throughout the execution of the mission. Whether completing an immediate task, recognizing a process gap, recommending a solution, or flexing to support an immerging requirement, our clients need someone who can help manage operations while managing responses to external inquiries in a timely manner. That is why we need an experienced Robotics Engineer like you who can help conceptualize, create, and execute government funded research and development programs.</p><p><br>
As part of our team, you'll serve as a strategic technical advisor to the Advanced Research Projects Agency for Health (ARPA-H), helping conceptualize, create, and execute advanced government-funded research and development programs to accelerate better health outcomes for everyone. You&rsquo;ll work with world-class scientists and engineers to support the development of high-impact solutions to society's most challenging health problems, and leverage technical expertise to provide strategic assessments of new technologies in support to senior ARPA-H decision makers. You&rsquo;ll maintain responsibility for producing and presenting findings and recommendations to a team of colleagues and clients on the feasibility and potential impact of future research programs, assisting with the management of current programs, and facilitating commercialization of successfully developed technologies.</p><p></p><p>
You'll support the research and development of robotic and unmanned systems across multiple operational domains and mission areas. You will be responsible for managing incoming requirements, facilitating engagements within offices and across the agency, and be readily available to shift your focus to fulfill emerging client requests. Your attention to detail, flexibility, communication skills, understanding of the client's mission, and problem-solving will enable the mission's success.</p><p></p><p>
Join us. The world can&rsquo;t wait.</p><p></p><p><b>
You Have:
</b></p><ul><li>Experience interacting and communicating with senior-level executives, including SES or GS-15</li><li>
Experience using Microsoft Office programs, including Excel, Word, and PowerPoint</li><li>
Ability to operate independently within a fast-paced, start-up environment</li><li>
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
</li><li>Master&rsquo;s degree in an EE, Mechanical Engineering, CS, Robotics, or Biomedical Engineering field and 5+ years of experience with engineering robotics or devices, or Doctorate degree in an EE, Mechanical Engineering, CS, Robotics, or Biomedical Engineering field and 2+ years of experience with engineering robotics or devices</li></ul><p></p><p><b>
Nice If You Have:
</b></p><ul><li>Experience with programming languages such as Python, C++, Java, and MATLAB</li><li>
Experience with circuit design, microcontrollers, and embedded systems for robotic systems</li><li>
Experience with sensor or actuator integration and data fusion for simultaneous localization, mapping, and planning</li><li>
Experience with robotic operating systems for simulation, visualization, and communication between different components</li><li>
Experience with User-Centered Design for customer needs-driven engineering development</li><li>
Experience supporting commercial innovation centers, university applied robotics centers, ARPA-like programs such as DARPA, IARPA, or APRA-E, or U.S. DoD advanced development programs</li><li>
Knowledge of AI and ML techniques for developing intelligent behaviors and robotic decision-making processes</li><li>
Possession of excellent verbal and written communication skills</li></ul><p></p><p><b>
Vetting:
</b></p><p>Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.</p><p></p><p><b>
Compensation</b></p><p>
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.</p><p></p>
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.<p></p><p><b>
Identity Statement</b></p><p>
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.</p><p></p><p><b>
Work Model</b><br>
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.</p><ul><li>
If this position is listed as remote or hybrid, you&rsquo;ll periodically work from a Booz Allen or client site facility.</li><li>
If this position is listed as onsite, you&rsquo;ll work with colleagues and clients in person, as needed for the specific role.</li></ul><p></p><p><b>
Commitment to Non-Discrimination</b></p><p>
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</p></div><p></p>

Robotics Engineer and Interdisciplinary Scientist

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