statistician

chief scientist

cFocus Software Incorporated

<div>cFocus Software seeks a Mission Data Scientist to join our program supporting the Defense Intelligence Agency (DIA). This position is on site in the Washington DC, MD, &amp; VA area. This position requires a TS/SCI + CI Polygraph clearance.<br>
<b>Qualifications:</b><ul><li>
Active TS/SCI + CI Polygraph clearance</li><li>
Master's degree in Data Science, Statistics, Mathematics, or related field with 4-12+ years of experience in data science</li><li>
Proficient in statistical analysis, machine learning, and data visualization</li><li>
Strong programming skills in Python or R</li><li>
Experience with .data science tools and platforms (Jupyter, pandas, scikit-learn)</li><li>
Understanding of intelligence community data and analytical methods</li></ul><br>
<b>
Duties:</b><ul><li>
Applies advanced analytics, statistical modeling, and data science techniques to intelligence data.
</li><li>Develops predictive models, conducts exploratory data analysis, and extracts actionable insights from complex datasets.
</li><li>Utilizes statistical software and programming languages (Python, R) to analyze structured and unstructured data.
</li><li>Collaborates with intelligence analysts and mission partners to understand analytical requirements.
</li><li>Communicates findings through data visualizations and reports.
</li><li>Applies domain knowledge to intelligence problems</li></ul>
<p></p><p>uizZJcBKb9</p></div>

Mission Data Scientist - TS/SCI + CI Polygraph Required

SAIC

<div><p>Job ID: 2613789</p><p><b>
Location: </b>Washington, DC, US</p><p><b>
Date Posted: </b>2026-06-17</p><p><b>
Category: </b>Information Technology</p><p><b>
Subcategory: </b>Data Scientist</p><p><b>
Schedule: </b>Full-Time</p><p><b>
Shift: </b>Day Job</p><p><b>
Travel: </b>No</p><p><b>
Minimum Clearance Required: </b>Secret</p><p><b>
Clearance Level Must Be Able to Obtain: </b>None</p><p><b>
Potential for Remote Work: </b>ORA_HYBRID</p><p><b><br>
Description</b>
</p><p>We are seeking an Enterprise Data and AI Solutions Scientist to join our Hyperautomation team. This role is designed for an analytically curious and technically versatile &ldquo;data hunter&rdquo; who thrives when the required data source, system, field, or solution has not yet been identified.</p><p>
The successful candidate will lead investigative data-discovery efforts across enterprise platforms, determine where relevant information resides, evaluate its reliability, correlate records across disparate systems, and translate findings into repeatable analytics, AI-enabled data-enrichment capabilities, and automated workflows.</p><p>
This position goes beyond querying known datasets or producing predefined reports. It requires someone who can take an ambiguous business objective, investigate multiple enterprise systems, identify relationships among incomplete or conflicting datasets, and develop an evidence-based approach to solving the problem. This individual will bridge the gap between raw enterprise data, intelligent data enrichment, and automation.</p><p><b>
What You Will Bring to the Team</b></p><p>
You are more than a reporting specialist or traditional data scientist. You are comfortable beginning with an unanswered question, navigating unfamiliar enterprise systems, testing</p><p><b>
This role is hybrid and reports onsite in Washington, DC at least 1 day a week and as required for meetings, testing or other gov activities as directed by their lead.</b></p><p><b>
Key Responsibilities:</b></p><ul><li><b>
Investigative Data Discovery:</b> Lead data-hunting and investigative analytics efforts in support of complex business, operational, security, and hyperautomation use cases.</li><li><b>
Platform Exploration</b>: Investigate enterprise platforms, particularly Splunk and ServiceNow, to identify relevant indexes, sourcetypes, tables, fields, APIs, relationships, and authoritative data sources.</li><li><b>
Data Correlation and Reconciliation</b>: Identify correlation keys across disparate systems, including configuration-management, endpoint, identity, asset, and operational data. Develop methods for reconciling incomplete, inconsistent, duplicated, or conflicting records.</li><li><b>
Advanced Querying and Scripting:</b> Develop and optimize searches, queries, scripts, and analytical workflows using SPL, SQL, Python, REST APIs, and related data-retrieval technologies.</li><li><b>
AI-Driven Data Enrichment</b>: Use approved AI and Generative AI capabilities, including prompt-based APIs, to normalize data, extract attributes, and generate missing data points from available record-level context. Examples may include using known IT asset manufacturers and models to determine or infer lifecycle attributes such as End of Life or End of Support.</li><li><b>
AI Output Validation: </b>Evaluate AI-generated attributes for accuracy, consistency, and business usability. Clearly distinguish authoritative source data from inferred or generated information and document supporting evidence, confidence, and known limitations.</li><li><b>
Automation Integration: </b>Partner with RPA, workflow, and data-engineering teams to convert successful analytical discoveries and enrichment processes into repeatable, governed, and sustainable enterprise capabilities.</li><li><b>
Solution Design:</b> Help determine whether a use case is best addressed through data engineering, API integration, business-process automation, robotic process automation, AI-enabled enrichment, or a hybrid approach.</li><li><b>
Prototyping and Communication:</b> Develop prototypes, proofs of concept, dashboards, and visualizations. Communicate findings, data limitations, technical risks, and recommendations to both technical teams and senior leadership.</li></ul><p><b>
Core Competencies:</b></p><ul><li><b>
Investigative Curiosity:</b> A persistent drive to explore unfamiliar systems and data structures until a defensible answer or path forward is identified.</li><li><b>
Systems Thinking:</b> The ability to understand how data flows across applications, infrastructure, identity systems, assets, and business processes.</li><li><b>
Evidence-Based Discipline:</b> A rigorous approach to validating conclusions, documenting data lineage, and distinguishing authoritative, derived, and AI-generated information.</li><li><b>
Solution Orientation:</b> The ability to turn one-time discoveries into reusable, scalable, and supportable enterprise capabilities.</li><li><b>
Consultative Communication:</b> The ability to translate complex data findings into clear, actionable recommendations for technical and business stakeholders.</li></ul><p><b>
Illustrative Use Cases:</b></p><ul><li>
Correlating security, endpoint, identity, asset, and service-management data across Splunk, ServiceNow, and other platforms to identify vulnerable, unsupported, or untracked enterprise assets.</li><li>
Sending known asset attributes, such as manufacturer, model, product family, and software version, to an approved AI service to generate missing lifecycle information, including estimated End-of-Life and End-of-Support dates.</li><li>
Using AI to normalize inconsistent manufacturer names, product models, application titles, organizational values, and other records that cannot be reliably standardized through static rules alone.</li><li>
Validating AI-generated data against available evidence, documenting the basis for each determination, and flagging low-confidence or conflicting results for human review.</li><li>
Mapping a manual data-gathering and reconciliation process and redesigning it as an automated pipeline using Databricks, APIs, ServiceNow, Splunk, Power Automate, or RPA technologies.</li></ul>
<p></p><p><b>Qualifications</b>
</p><p><b>Required Education &amp; Experience:</b></p><ul><li>
Bachelor&rsquo;s degree in Data Science, Computer Science, Information Systems, Statistics, Engineering, or a related technical discipline and at least 2-5 years of relevant professional experience. Equivalent practical experience may be considered in lieu of a degree.</li><li>
Demonstrated experience conducting data discovery or investigative analytics when the required data sources, fields, or technical approach were not predefined.</li><li>
Hands-on Splunk experience, including SPL development, index and sourcetype discovery, field analysis, lookups, joins, and cross-source data correlation.</li><li>
Hands-on experience navigating and querying ServiceNow data structures, including CMDB, asset, operational, or related enterprise tables and APIs.</li><li>
Strong proficiency in SQL and Python for data retrieval, manipulation, integration, and analysis.</li><li>
Experience working with REST APIs, JSON, and structured or semi-structured data.</li><li>
Practical experience using AI, Generative AI, or prompt-based services to extract, classify, normalize, infer, or enrich enterprise data.</li><li>
Experience evaluating and validating generated or inferred data before incorporating it into analytics, reporting, or operational processes.</li><li>
Ability to work independently in ambiguous environments, formulate and test hypotheses, and adapt based on emerging findings.</li><li>
Strong analytical, problem-solving, documentation, and technical communication skills.</li></ul><p><b>
Required Clearance:</b></p><ul><li>
US Citizenship.</li><li>
Active Secret Clearance.</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Experience with Databricks, Apache Spark, Delta Lake, or cloud-based lakehouse architectures.</li><li>
Experience integrating with AI or large language model services through APIs, including prompt design, structured outputs, response evaluation, and exception handling.</li><li>
Experience developing or supporting workflows using Microsoft Power Automate or UiPath.</li><li>
Experience operationalizing AI-generated or AI-enriched data through automated pipelines, dashboards, workflow tools, or human-in-the-loop review processes.</li><li>
Familiarity with Retrieval-Augmented Generation, semantic matching, embedding models, vector databases, entity resolution, or related information-retrieval techniques.</li><li>
Experience working in federal government, regulated-industry, cybersecurity, IT asset-management, or large-scale enterprise environments.</li></ul>
<p></p>Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.</div>

Enterprise Data and AI Solutions Scientist

General Attorney (Tax) - Senior Technician Reviewer (Financial Institutions & Products)

KNOWFINITY

<div>
 <strong>
  Summary
  <br/>
  <br/>
 </strong>
 We are hiring a
 <strong>
  Data Scientist
 </strong>
 on behalf of one of our prestigious
 <strong>
  Fortune 500 Product-Based clients in the United States
 </strong>
 . This is an exciting opportunity to work on large-scale data platforms, advanced machine learning solutions, and data-driven products used by millions of customers worldwide.
 <br/>
 <br/>
 The ideal candidate should have hands-on experience in statistical analysis, predictive modeling, machine learning, and transforming complex data into actionable business insights within a fast-paced product environment.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Analyze large and complex datasets to identify trends, patterns, and business opportunities.
  </li>
  <li>
   Develop, validate, and deploy machine learning and predictive analytics models.
  </li>
  <li>
   Design and implement statistical models to solve real-world business problems.
  </li>
  <li>
   Collaborate with software engineers, data engineers, product managers, and business stakeholders to build data-driven solutions.
  </li>
  <li>
   Build dashboards, reports, and visualizations to communicate insights effectively.
  </li>
  <li>
   Perform feature engineering, model evaluation, and optimization for production-grade models.
  </li>
  <li>
   Develop forecasting, recommendation, classification, and clustering models.
  </li>
  <li>
   Support experimentation, A/B testing, and performance measurement initiatives.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years of experience in Data Science, Machine Learning, Analytics, or a related field.
  </li>
  <li>
   Strong proficiency in Python and SQL.
  </li>
  <li>
   Experience with machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, or XGBoost.
  </li>
  <li>
   Strong understanding of statistics, probability, and predictive modeling techniques.
  </li>
  <li>
   Experience working with structured and unstructured datasets.
  </li>
  <li>
   Knowledge of data visualization tools such as Tableau, Power BI, or Looker.
  </li>
  <li>
   Familiarity with cloud platforms such as AWS, Azure, or GCP.
  </li>
  <li>
   Strong analytical, problem-solving, and communication skills.
  </li>
  <li>
   Bachelor&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working in a product-based company.
  </li>
  <li>
   Exposure to Generative AI, NLP, and Large Language Models (LLMs).
  </li>
  <li>
   Experience with Spark, Databricks, and big data technologies.
  </li>
  <li>
   Familiarity with MLOps tools and model deployment practices.
  </li>
  <li>
   Experience with A/B testing and experimentation frameworks.
  </li>
  <li>
   Knowledge of recommendation systems and customer analytics.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Opportunity to work with a Fortune 500 Product-Based organization.
  </li>
  <li>
   Exposure to enterprise-scale data science and machine learning projects.
  </li>
  <li>
   Collaborative and innovation-driven work environment.
  </li>
  <li>
   Competitive compensation package.
  </li>
  <li>
   Long-term career growth and advancement opportunities.
  </li>
  <li>
   Access to modern technologies and data-driven decision-making initiatives.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Work Authorization
  <br/>
  <br/>
 </strong>
 Candidates must be legally authorized to work in the United States.
 <br/>
 <br/>
 <strong>
  Visa sponsorship is available for eligible candidates.
  <br/>
  <br/>
 </strong>
 Skills: tableau,power bi,gcp,generative ai,sql,data science,aws,azure,python,data analytics,machine learning,tensorflow
</div>


Data Scientist

Parsons

<div>In a world of possibilities, pursue one with endless opportunities. Imagine Next!<br>
<p></p>
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what&rsquo;s possible.<p></p><p><b><br>
Job Description:</b></p><p>
Parsons is looking for an amazingly talented <b>Senior Data Scientist / AI Specialist (Palantir &ndash; Foundry) </b>to join our team! The Air Force Mission Assurance (MA) Construct Support Team requires highly specialized technical, analytical, and investigative support services. In this role you will get to execute the role of Data Platform User Experience and Application Designer, Data Collection and Entry by designing the user interface and experience of a data collection platform. You will provide data platform enablement and analytical support to ensure that MA business process workflows are scalable, maintainable, and decision-relevant.</p><p></p><p><b>
What You'll Be Doing:</b></p><ul><li><p>
Will execute the role of Data Platform User Experience and Application Designer, Data Collection and Entry by designing the user interface and experience of a data collection platform, specifically focusing on making the process of entering data as intuitive and efficient as possible for users, ensuring accurate data capture and minimizing errors</p></li><li><p>
Maintain documentation, training materials, and knowledge transfer processes to support Air Force personnel.</p></li><li><p>
Provide ongoing system maintenance, enhancement, and performance optimizations</p></li><li><p>
Capability development, integration with DoD MA systems and Dept of AF Data Fabric systems to ensure USAF MA Enterprise data system of record capabilities are maintained.</p></li><li><p>
Work with the requirement business owners to understand needs and translate requirements into technical specifications and deliverables.</p></li><li><p>
Analytical Support to Mission Assurance Activities</p></li><li><p>
Enterprise Platform Coordination and Advocacy Support</p></li><li><p>
Data Architecture Review, Evolution, Stewardship, and Process Support</p></li><li><p>
Workflow Data Platform Enablement, Sustainment, and Automation</p></li></ul><p></p><p><b>
What Required Skills You'll Bring:</b></p><ul><li><p>
Active Top Secret/SCI security clearance</p></li><li><p>
10+ years of related experience and a Bachelors Degree or equivalent work experience</p></li><li><p>
Apply advanced analytics, AI/ML, and statistical methods to derive insights from complex mission data sets, including design, development, evaluation, and application of AI- and ML-based analytical methods to support MA use cases.
</p></li><li><p>Translation of analytical and AI-driven insights into decision-relevant products for senior leaders and MA stakeholders.</p></li><li><p>
Ability to implement, sustain, and scale MA data workflows, analytical models, and decision-support tools</p></li><li><p>
Align MA data workflows with evolving MA processes, governance requirements, and decision-support needs</p></li><li><p>
Configure Government-directed data platform capabilities to enable MA data analysis, monitoring, reporting, and automation</p></li><li><p>
Implement, sustain, and continuously improve MA&ndash;related business process workflows, including coordination workflows, governance preparation workflows</p></li><li><p>
Experience working in Palantir Foundry&rsquo;s data integration and platform application</p></li></ul><p><b><br>
What Desired Skills You'll Bring:</b></p><ul><li><p>
Foundry Application Developer certification</p></li></ul><p></p><p><b>
Security Clearance Requirement:</b></p>
None<p></p>
This position is part of our Federal Solutions team.<p></p>
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what&rsquo;s next to deliver the solutions our customers need now.<p></p>
Salary Range: $125,100.00 - $225,200.00<p></p>
We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!<p></p>
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.<p></p>
We truly invest and care about our employee&rsquo;s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest&mdash;APPLY TODAY!<p></p><div>
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.</div></div>
<br><div><div><div>COMPETITIVE BENEFIT OFFERINGS</div></div><div><div><div><br>
Financial Wellness</div><div><br>
We care about your financial wellbeing. Parsons offers competitive pay and retirement plans to help you build wealth for the future while giving you the flexibility to diversify your investments.</div></div><div><div>
Work Life Harmony</div><div><br>
Balance in life is important and time away from the office is imperative to allow you to refresh and focus your attention on the things that matter to you. Parsons supports your time away by providing paid time off and paid flexible holidays.</div></div><div><div>
Career Development</div><div><br>
We are committed to fostering the personal and professional growth of our employees. Develop and advance yourself though our comprehensive training, educational and mentorship programs.</div></div><div><div><br>
Veteran Support</div><div><br>
We provide Industry leading benefits to support veterans and active-duty members to provide security for you and your family by offering robust leave and benefits; including paid active-duty military leave and paid time off when transitioning back to civilian life.</div></div><div><div>
Mind &amp; Body</div><div><br>
At Parsons we inspire healthier habits, heathier minds, and a healthier you through our wellness program. Participate in our weekly Meditation Mondays and Wellness Wednesdays. Wellness, at Parsons, is more than just your annual checkup.</div></div><div><div>
Health</div><div><br>
Health is not a one size fits all. At Parsons, we offer a robust Employee Assistance Program as well as comprehensive medical, dental and vision plans through large, national carriers with the choice of regional PPO, HDHP, or HMO networks.</div></div></div></div><p></p>

Senior Data Scientist and AI Specialist

MedStar Health

<div>About this Job:
<div><div><div><p><b>
Inpatient Transplant Nephrology APP</b></p></div><p></p><div><p><b><br>
Position Title:</b> Advanced Practice Provider &ndash; Transplant Nephrology (Inpatient)<br>
<b>Department:</b><b> </b>Transplant Nephrology / Abdominal Transplant<br>
<b>Reports To:</b> Chief APP for Adult and Pediatric Transplant Surgery, HPB Surgery, Transplant Nephrology, and Transplant Hepatology</p></div><p></p><div><p><b><br>
Position Summary</b></p></div><p></p><div><p><br>
The Inpatient Transplant Nephrology Advanced Practice Provider (APP) provides comprehensive medical management for kidney and pancreas transplant recipients in the inpatient setting. The APP collaborates with transplant nephrologists, transplant surgery APPs, transplant surgeons, pharmacists, coordinators, and multidisciplinary teams to deliver high-quality care across the peri-transplant continuum including pre-transplant evaluation, immediate post-transplant management, and long-term transplant complications requiring hospitalization.</p></div><p></p><div><p><br>
The APP is responsible for daily clinical management of transplant recipients including immunosuppression management, allograft function monitoring, management of transplant-related complications, and coordination of discharge planning.</p></div><p></p><div><p><b><br>
Key Responsibilities</b></p></div><p></p><div><p><b><br>
Clinical Care</b></p></div><div><ul><li><p>
Perform comprehensive history and physical examinations on transplant recipients admitted to the hospital.</p></li></ul></div><div><ul><li><p>
Manage pre- and post-kidney transplant patients, including deceased and living donor recipients.</p></li></ul></div><div><ul><li><p>
Monitor and interpret allograft function, immunosuppression levels, and transplant-related laboratory results.</p></li></ul></div><div><ul><li><p>
Diagnose and manage:</p></li></ul></div><div><ul><li><p>
Delayed graft function</p></li></ul></div><div><ul><li><p>
Acute kidney injury</p></li></ul></div><div><ul><li><p>
Acute rejection</p></li></ul></div><div><ul><li><p>
Infection in immunocompromised patients</p></li></ul></div><div><ul><li><p>
Fluid and electrolyte disorders</p></li></ul></div><div><ul><li><p>
Hypertension</p></li></ul></div><div><ul><li><p>
Immunosuppressive medication complications</p></li></ul></div><div><ul><li><p>
Order and interpret diagnostic studies including labs, imaging, and biopsies.</p></li></ul></div></div><div><div><ul><li><p>
Adjust immunosuppressive regimens in collaboration with transplant nephrologists.</p></li></ul></div><div><ul><li><p>
Coordinate care for transplant recipients requiring dialysis.</p></li></ul></div><p></p><div><p><b><br>
Rounding and Care Coordination</b></p></div><div><ul><li><p>
Participate in daily multidisciplinary transplant rounds.</p></li></ul></div><div><ul><li><p>
Present patients during transplant rounds and contribute to management planning.</p></li></ul></div><div><ul><li><p>
Coordination of care with MDC teams and help facilitate transitions of care including discharge planning and outpatient follow-up.</p></li></ul></div><div><p><b>
Procedures (if applicable based on ins</b><b>t</b><b>itution)</b></p></div><div><ul><li><p>
Remove dialysis catheters and surgical drains.</p></li></ul></div><div><ul><li><p>
Assist with renal transplant biopsies.</p></li></ul></div><div><ul><li><p>
Manage dialysis access issues.</p></li></ul></div><p></p><div><p><b><br>
Education</b></p></div><div><ul><li><p>
Provide education to patients and families regarding:</p></li></ul></div><div><ul><li><p>
Immunosuppressive medications</p></li></ul></div><div><ul><li><p>
Infection prevention</p></li></ul></div><div><ul><li><p>
Post-transplant care</p></li></ul></div><div><ul><li><p>
Participate in education of residents, fellows, APPs and students rotating on transplant services.</p></li></ul></div><p></p><div><p><b><br>
Quality and Program Development</b></p></div></div><div><div><ul><li><p>
Participate in transplant quality improvement initiatives.</p></li></ul></div><div><ul><li><p>
Contribute to maintaining compliance with transplant regulatory bodies including:</p></li></ul></div><div><ul><li><p>
United Network for Organ Sharing (UNOS)</p></li></ul></div><div><ul><li><p>
Organ Procurement and Transplantation Network (OPTN)</p></li></ul></div><div><ul><li><p>
Centers for Medicare &amp; Medicaid Services (CMS)</p></li></ul></div><p></p><div><p><b><br>
Work Environment</b></p></div><div><ul><li><p>
Inpatient hospital setting within a transplant center</p></li></ul></div><div><ul><li><p>
Collaboration with multidisciplinary transplant teams</p></li></ul></div><div><ul><li><p>
Weekend and holiday rotation may be required</p></li></ul></div><div><ul><li><p>
Call coverage may be required depending on program structure</p></li></ul></div><p></p><div><p><b><br>
Minimum Qualifications</b></p></div><p></p><div><p><b><br>
Education</b></p></div><div><ul><li><p>
Master&rsquo;s or Doctoral degree from accredited program:</p></li></ul></div><div><ul><li><p>
Nurse Practitioner (NP)</p></li></ul></div><div><ul><li><p>
Physician Assistant (PA)</p></li></ul></div><div><p><b>
Certification</b></p></div><div><ul><li><p>
National board certification as NP or PA</p></li></ul></div><div><ul><li><p>
State licensure as Advanced Practice Provider</p></li></ul></div></div><div><div><ul><li><p>
DEA license (if applicable)</p></li></ul></div><div><p><b>
Experience</b></p></div><div><ul><li><p>
2+ years of nephrology, transplant, or critical care experience preferred</p></li></ul></div><div><ul><li><p>
Experience with transplant patient population strongly preferred</p></li></ul></div><p></p><div><p><b><br>
Core Competencies</b></p></div><div><ul><li><p>
Expertise in immunosuppression management</p></li></ul></div><div><ul><li><p>
Strong clinical decision-making in complex patients</p></li></ul></div><div><ul><li><p>
Ability to manage immunocompromised patients with multi-organ complications</p></li></ul></div><div><ul><li><p>
Strong interdisciplinary collaboration</p></li></ul></div><div><ul><li><p>
Excellent communication and patient education skills</p></li></ul></div><div><p><b>
Preferred Qualifications</b></p></div><div><ul><li><p>
Prior experience with kidney or pancreas transplant recipients</p></li></ul></div><div><ul><li><p>
Familiarity with transplant regulatory requirements and transplant metrics</p></li></ul></div><div><ul><li><p>
Experience with inpatient transplant protocols and pathways</p></li></ul></div></div></div><br>
<p></p>
This position has a hiring range of : USD $115,003.00 - USD $165,006.00 /Yr.</div>

Inpatient Nephrology PA

The Johns Hopkins University

<div>
 The Department of Emergency Medicine is seeking a
 <strong>
  <em>
   Physician Assistant
  </em>
 </strong>
 to work collaboratively within a multidisciplinary health care team. Responsible for complex, standardized, patient care procedures that require experience and specialized training that would otherwise be performed by a physician. Educates patients and families in matters pertaining to health maintenance, disease prevention and appropriate measures in acute and chronic illness. Direct supervision from appropriate licensed physician as designated.
 <br/>
 <br/>
 <strong>
  Specific Duties &amp; Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Perform a comprehensive, accurate history and physical including chief compliant, presenting signs and symptoms, and past medical history and interval history. Recognize differences between normal and abnormal findings in H &amp; P. Significant findings are validated or discussed with a physician as appropriate.
  </li>
  <li>
   Order and interpret laboratory tests, x-rays, diets, physical therapy, inhalation therapy or other services when delegated by a supervising physician. Abnormal findings are discussed with a physician as appropriate.
  </li>
  <li>
   Initiate IV therapy by peripheral, central, intraosseous routes, and venous cutdown. Perform injections, arterial puncture, venipuncture, and arterial line insertion. Initiate Basic/Advanced life support in response to emergency situations.
  </li>
  <li>
   Prepare chart documentation for review and counter signature by the physician.
  </li>
  <li>
   Determine differential diagnosis.
  </li>
  <li>
   Maintain technical proficiency with approved procedures including suturing, wound care and orthopedic care.
  </li>
  <li>
   Prescribe and regulate medications.
  </li>
  <li>
   Evaluate outcomes of previously implemented interventions.
  </li>
  <li>
   Attend staff meetings to discuss patient and unit requirements. Daily informal discussions are held with the physician and other health professionals to plan patient care.
  </li>
  <li>
   Give input for design of research protocols and procedures.
  </li>
  <li>
   Responsible for the conduct of EM sponsored clinical trials including regulatory issues, recruitment and good clinical practice. Coordinate the implementation of protocols in conjunction with the other staff members. Oversee daily operations for clinical research protocols in collaboration with other staff. Responsible to obtain informed consent from study participants.
  </li>
  <li>
   Remain proficient in the utilization of commonly used clinical protocols and guidelines.
  </li>
  <li>
   Remain abreast of new treatment modalities and technologies within the field of Emergency Medicine. Maintain competencies with the use of Med/Surg instruments and equipment.
  </li>
  <li>
   Participate in the interviewing process of clinical staff. Makes hiring recommendations. Can recommend discipline.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's Degree.
  </li>
  <li>
   Certification by the NCCPA or similar national certifying body.
  </li>
  <li>
   Completion of a CAAHEP certified Physician Assistant program.
  </li>
  <li>
   Must be licensed as PA in State of Maryland or other state where practicing.
  </li>
  <li>
   Current CPR certification required. Must maintain current licensure and certification during duration of employment.
  </li>
  <li>
   Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Emergency Medicine experience.
   <br/>
   <br/>
  </li>
 </ul>
 Classified Title: Physician Assistant
 <br/>
 <br/>
 Role/Level/Range: ACRP/04/MG
 <br/>
 <br/>
 Starting Salary Range: $102,000 - $152,900 Annually (Commensurate w/exp.)
 <br/>
 <br/>
 Employee group: Full Time
 <br/>
 <br/>
 Schedule: Varies 40 Hours/Week
 <br/>
 <br/>
 FLSA Status: Exempt
 <br/>
 <br/>
 Location: District of Columbia
 <br/>
 <br/>
 Department name: Sibley Emergency Medicine Practice
 <br/>
 <br/>
 Personnel area: School of Medicine
</div>


Physician Assistant (Emergency Medicine)

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