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Albert Einstein College Of Medicine Interview Questions

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<p>You are testing hundreds of hypotheses with many <em>t</em>-tests. What considerations should be made?</p>


<p>What is a key disadvantage of the F-test when compared to multiple t-tests?</p>

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

<p>In an A/B test, how can you check if assignment to the various buckets was truly random?</p>


<p>In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?</p>

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

<p>Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.</p>

<p>What factors could have biased this result, and what would you look into?</p>


<p>What could potentially bias the average boarding time in favor of an airline that only flies domestically?</p>

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

Albert Einstein College Of Medicine Salaries by Position

<p>POSITION RESPONSIBILITIES: <br></p> <p>We are seeking a highly motivated research analyst to perform cutting-edge clinical research, working in a dynamic and intellectually engaging clinical research setting. </p> <ul> <li>Work with radiologists, data scientists, and/or research scientists on clinical research projects </li><li>Design and implement clinical data collection (PACS, EMR) processes and clinical research methodologies. </li><li>Conduct statistical analyses and interpreting research data to identify trends, patterns, and insights. </li><li>Contribute to the preparation of clinical and translational research proposals, grant applications, and academic publications. </li></ul> <p><em>Albert Einstein College of Medicine offers its professional and administrative staff the opportunity to arrange hybrid-remote work or flexible-work schedules, with supervisory approval. The incumbent for this position is eligible for such consideration, and applicants may inquire with the hiring manager or human resources.</em> </p>QUALIFICATIONS: <br><ul> <li>Bachelors degree and 2-3 years of experience required. </li><li>Proven ability to work independently on complex data management and analysis projects, working with professionals with a variety of skills and backgrounds </li><li>Excellent written and oral communication skills </li><li>Experience in clinical and translational research is a must. </li><li>Knowledge of OMOP data structure, SEQUEL, R, or Python languages are preferred. </li> </ul><br> <br>Minimum Salary Range: <br>USD $54,000.00/Yr. <br><br>Maximum Salary Range: <br>USD $63,000.00/Yr. <br><br>About Us: <br> <p>Montefiore-Einstein is nationally recognized for clinical excellencebreaking new ground in research, training the next generation of healthcare leaders, and delivering science-driven, patient-centered care. We are one of the largest health systems of 15 hospitals and a few dozen clinical sub-specialty clinics in the New York City metropolitan areas that serve a large and diverse patient population. The available patient data offer exciting opportunities to conduct clinical research to improve health in minority and under-severed populations. </p> <p>Montefiore-Einstein has an annual NIH grant funding of $193M (FY2023), Radiology has an annual NIH grant funding of $5.1M (FY2023) as principal investigators. Montefiore-Einstein is home of many Centers of Excellence, including 8 NIH-designated research centers. Montefiore-Einstein Radiology has over 75 FTE radiologists and a large array of imaging facilities across 3 acute care hospitals, a dedicated childrens hospital as well as multiple satellite clinics across the metropolitan areas, conducive to clinical research. We have competitive data science, IT, and computing resources to execute various research projects. The Gruss Magnetic Resonance Research Center (Radiology) has 10 imaging research faculty and an array of research-dedicated human and animal imaging scanners. Visit our websites for more information https://www.montefiore.org/radiology-research-landing. </p><p>Direct questions to Dr. Tim Duong, PhD (tim.duong@einsteinmed.edu), Vice Chair for Research, and Professor of Radiology. </p>

<h3>POSITION RESPONSIBILITIES</h3><ul><li>Develops prototypes, work flow and use cases to provide scalable solutions that meet both current and future requirements.</li><li>Utilizes experience as a Healthcare Data and System Architect in a Healthcare setting to provide researchers and PIs insight into data interpretation, including disambiguating and clarifying data and data sources and their semantic meanings.</li><li>Technical Lead: Supervises and instructs other staff in the sourcing, organization, interpretation, transformation, and delivery of research data throughout the institution.</li><li>Lead Project Manager: Works independently and directly on an interdepartmental and extra-departmental basis on a variety of EISMU projects, supervising other staff members as needed.</li><li>Provides EISMU staff oversight, teaching, technical assistance, and guidance on the use of and access to EISMU-external clinical and medical data sources, including best practices for leveraging available technologies and design and development approaches that enhance system robustness, security, and maintainability.</li><li>Training and Education: Due to extensive cross-training in both IT and healthcare informatics, disseminates and documents audience-appropriate knowledge regarding both domains and the implications of their interactions for research programs.</li><li>Works with PIs, researchers, and Montefiore medical staff in the identification and interpretation of clinical data for research, grant proposals, and healthcare quality assurance (HCQA) projects.</li><li>Serves as Lead Data Technologist in identifying and promoting tools that grow, distribute, and provide a persistent store of both technical and domain information for EISMU, DEPH, and non-departmental personnel.</li><li>Expert in both direct and supervisory use of integration tools and methodologies, including SQL to SAS data transfer and use of SSIS for automation and simplified data management.</li><li>Responsible for the architecture, implementation, and documentation of data-centric systems for users at AECOM/MMC Institutions to enable both individual and collaborative research efforts.</li><li>Serves as a major contributor in the preparation of both research grant proposals and assists in research result publications.</li><li>Responsible for ensuring that all developed products meet state, federal, and sponsor requirements for data security, including the guarding of PHI data.</li><li>Develops, supervises, and participates in operational and forward-projecting testing of new and migrated systems.</li><li>Marshalls and supervises staff for immediate need, emergency response, and technical assistance throughout the department during system disruptions.</li><li>In-unit expert on a wide variety of healthcare data sources including the Montefiore Electronic Data Warehouse, Clinical Looking Glass, and the Montefiore/Einstein Cancer Registry.</li><li>Works with national third-party organizations to assist in the inclusion of AECOM/MCC-derived data into national databases.</li><li>Designs and implements systems and tools that enhance researchers’ ability to conduct research into the genetic basis for disease progression and genetically targeted treatment protocols.</li><li>Provides clear documentation of systems, including both internal code-related documentation and external user documentation.</li><li>Ability to work with individuals both within and outside of the AECOM/MCC Institutions to effectively identify system requirements for immediate and long-term needs.</li><li>Provides analytic services for raw data obtained from a wide variety of sources to ensure correct and high-quality interpretation of the data.</li></ul><h3>QUALIFICATIONS</h3><p><u>Experience and Educational Background</u></p><ul><li>Degree in Informatics, Data Science, or a similar field.</li><li>10+ years of informatics/bioinformatics and data architecture experience.</li><li>Extensive experience with clinical patient data systems, including both medical and data flow processes.</li><li>Over 15 years of experience in the development and maintenance of RDBMS-based and real-time systems.</li></ul><p><u>Skills and Competencies</u></p><ul><li>Deep, direct experience in both Information Technology and Healthcare.</li><li>Excellent communication skills, including superior writing, oral, and visual presentation skills.</li><li>Demonstrated experience with various operating systems.</li><li>Understanding of mobile technologies such as iOS and Android and how these technologies may be leveraged to provide secure and flexible availability of system data to researchers.</li><li>Knowledgeable in the use of distance learning tools for training.</li><li>Strong architectural and development experience for the creation of enterprise-based solutions in RDBMS.</li><li>Strong architectural and development experience in web-based technologies such as Java, JavaScript, CSS, .NET, Visual Studio, and HTML.</li><li>Strong experience in the efficient use of reporting tools such as SQL-Server Reporting Services (SSRS).</li><li>Strong experience in the use of Extract, Transform, Load tools such as SQL-Server Integration Services (SSIS).</li><li>Strong architectural and development experience in procedural and object-oriented languages such as VBA, C, C++, C#, Perl, and PHP.</li><li>Ability to work independently.</li><li>Ability to meet deadlines, adjust priorities, and handle new requirements as they arise.</li><li>Ability to multi-task and keep all parties regularly involved in all relevant decision-making and abreast of changes to deliverables and project schedules.</li></ul><h3>MINIMUM SALARY RANGE</h3>USD $69.88/Hr.<h3>MAXIMUM SALARY RANGE</h3>USD $69.88/Hr.<h3>ABOUT US</h3><p>Provides overall expert-level Clinical and IT domain knowledge to design, develop, and implement sophisticated clinical and research-based study management systems which serve the research community.</p><p><u>Scope of Responsibility</u></p><ul><li>Reports directly to the Director of the Epidemiology Informatics and Study Management Unit of the Department of Epidemiology and Population Health.</li><li>Works directly with PIs on various projects and provides “dotted-line” reporting to other faculty members at Einstein and Montefiore as needed.</li><li>Interacts with a wide variety of agencies outside of the AECOM/MMC Institutes.</li></ul>
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<div><h3>POSITION RESPONSIBILITIES</h3>
<p>We are seeking a highly motivated research analyst to perform cutting-edge clinical research, working in a dynamic and intellectually engaging clinical research setting.</p>
<ul>
<li>Work with radiologists, data scientists, and/or research scientists on clinical research projects</li>
<li>Design and implement clinical data collection (PACS, EMR) processes and clinical research methodologies.</li>
<li>Conduct statistical analyses and interpreting research data to identify trends, patterns, and insights.</li>
<li>Contribute to the preparation of clinical and translational research proposals, grant applications, and academic publications.</li>
</ul>
<p><strong><em>Albert Einstein College of Medicine offers its professional and administrative staff the opportunity to arrange hybrid-remote work or flexible-work schedules, with supervisory approval. The incumbent for this position is eligible for such consideration, and applicants may inquire with the hiring manager or human resources.</em></strong></p>
<h3>QUALIFICATIONS</h3>
<ul>
<li>Bachelor’s degree and 2-3 years of experience required.</li>
<li>Proven ability to work independently on complex data management and analysis projects, working with professionals with a variety of skills and backgrounds</li>
<li>Excellent written and oral communication skills</li>
<li>Experience in clinical and translational research is a must. </li>
<li>Knowledge of OMOP data structure, SEQUEL, R, or Python languages are preferred.  </li>
</ul>
<h3>Minimum Salary Range</h3>USD $54,000.00/Yr.
<h3>Maximum Salary Range</h3>USD $63,000.00/Yr.
<h3>ABOUT US</h3>
<p>Montefiore-Einstein is nationally recognized for clinical excellence—breaking new ground in research, training the next generation of healthcare leaders, and delivering science-driven, patient-centered care. We are one of the largest health systems of 15 hospitals and a few dozen clinical sub-specialty clinics in the New York City metropolitan areas that serve a large and diverse patient population. The available patient data offer exciting opportunities to conduct clinical research to improve health in minority and under-severed populations.</p>
<p>Montefiore-Einstein has an annual NIH grant funding of $193M (FY2023), Radiology has an annual NIH grant funding of $5.1M (FY2023) as principal investigators. Montefiore-Einstein is home of many Centers of Excellence, including 8 NIH-designated research centers.  Montefiore-Einstein Radiology has over 75 FTE radiologists and a large array of imaging facilities across 3 acute care hospitals, a dedicated children’s hospital as well as multiple satellite clinics across the metropolitan areas, conducive to clinical research. We have competitive data science, IT, and computing resources to execute various research projects. The Gruss Magnetic Resonance Research Center (Radiology) has 10 imaging research faculty and an array of research-dedicated human and animal imaging scanners. Visit our websites for more information https://www.montefiore.org/radiology-research-landing. </p>
<p>Direct questions to Dr. Tim Duong, PhD (tim.duong@einsteinmed.edu), Vice Chair for Research, and Professor of Radiology.  </p></div>
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<h5>POSITION RESPONSIBILITIES</h5><br/><p>We are seeking a highly motivated research analyst to perform cutting-edge clinical research, working in a dynamic and intellectually engaging clinical research setting.</p><br/><ul><br/> <li>Work with radiologists, data scientists, and/or research scientists on clinical research projects</li><br/> <li>Design and implement clinical data collection (PACS, EMR) processes and clinical research methodologies.</li><br/> <li>Conduct statistical analyses and interpreting research data to identify trends, patterns, and insights.</li><br/> <li>Contribute to the preparation of clinical and translational research proposals, grant applications, and academic publications.</li><br/></ul><br/><p><em>Albert Einstein College of Medicine offers its professional and administrative staff the opportunity to arrange hybrid-remote work or flexible-work schedules, with supervisory approval. The incumbent for this position is eligible for such consideration, and applicants may inquire with the hiring manager or human resources.</em></p><br/><h5>QUALIFICATIONS</h5><br/><ul><br/> <li>Bachelors degree and 2-3 years of experience required.</li><br/> <li>Proven ability to work independently on complex data management and analysis projects, working with professionals with a variety of skills and backgrounds</li><br/> <li>Excellent written and oral communication skills</li><br/> <li>Experience in clinical and translational research is a must. </li><br/> <li>Knowledge of OMOP data structure, SEQUEL, R, or Python languages are preferred.  </li><br/> <br/></ul><br/><h5>Minimum Salary Range </h5>USD $54,000.00/Yr.<br/><h5>Maximum Salary Range </h5>USD $63,000.00/Yr.<br/><h5>About Us</h5><br/><p>Montefiore-Einstein is nationally recognized for clinical excellencebreaking new ground in research, training the next generation of healthcare leaders, and delivering science-driven, patient-centered care. We are one of the largest health systems of 15 hospitals and a few dozen clinical sub-specialty clinics in the New York City metropolitan areas that serve a large and diverse patient population. The available patient data offer exciting opportunities to conduct clinical research to improve health in minority and under-severed populations.</p><br/><br/><p>Montefiore-Einstein has an annual NIH grant funding of $193M (FY2023), Radiology has an annual NIH grant funding of $5.1M (FY2023) as principal investigators. Montefiore-Einstein is home of many Centers of Excellence, including 8 NIH-designated research centers.  Montefiore-Einstein Radiology has over 75 FTE radiologists and a large array of imaging facilities across 3 acute care hospitals, a dedicated childrens hospital as well as multiple satellite clinics across the metropolitan areas, conducive to clinical research. We have competitive data science, IT, and computing resources to execute various research projects. The Gruss Magnetic Resonance Research Center (Radiology) has 10 imaging research faculty and an array of research-dedicated human and animal imaging scanners. Visit our websites for more information https://www.montefiore.org/radiology-research-landing. </p><br/><br/><p>Direct questions to Dr. Tim Duong, PhD (tim.duong@einsteinmed.edu), Vice Chair for Research, and Professor of Radiology. </p>

<p>POSITION RESPONSIBILITIES: <br></p><ul> <li>Analyze and interpret complex biological data using advanced bioinformatics tools and techniques. </li><li>Develop and implement machine learning and deep learning algorithms to drive data-driven insights. </li><li>Manage and manipulate large datasets using SQL (Oracle and SQL Server) for data extraction, transformation, and analysis. </li><li>Create and maintain data visualizations and dashboards using Power BI to communicate findings to stakeholders. </li><li>Collaborate with cross-functional teams to support data-driven decision-making and research initiatives. </li><li>Utilize EHR database systems such as Epic Clarity or Caboodle to integrate and analyze healthcare data. </li><li>Meet with investigators to discuss data requests that are part of a grant, research proposal, or quality improvement project. </li><li>Help refine data requests into specific extractable data items and process them into specific research variables. </li><li>Ensure IRB approval for data extraction. </li><li>Refer requests to Data Center leadership if study design or data definitions need further clarification. </li><li>Write and store code (e.g., SQL) for extracting data elements. </li><li>Maintain continuous communication with PI during data extraction to clarify and redefine if necessary. </li><li>Process extracted data elements into research variables meeting PI specifications using data processing software (Stata, R, or similar). </li><li>Document projects, code used for extraction, data processing steps, and final dataset. </li></ul> <br><br>QUALIFICATIONS: <br><p>Bachelors Degree in Bioinformatics, Computational Biology, Data Science, Computer Science, or a related field. </p><p>Masters Degree in a relevant field preferred. </p><p>Experience: </p><p>3-5 years of experience in bioinformatics, data science, or a related field. </p><p>Proficiency in bioinformatics tools and techniques. </p><p>Experience with machine learning and deep learning algorithms. </p>Minimum Salary Range: <br>USD $99,000.00/Yr. <br><br>Maximum Salary Range: <br>USD $110,000.00/Yr. <br><br>About Us: <br><p>A new Clinical Data Center is being developed by the Department of Medicine, to efficiently handle the influx of requests for informatics and data services for research purposes. This position will be embedded in the Clinical Data Center, work with investigators and the epidemiologist in the Data Center to refine requests for data into actionable data element lists, lead data extraction efforts from Montefiore's Enterprise Data Warehouse and Epic/Clarity, and process raw data extractions into analyzable data tables that meet the specifications of the investigator team. Specific duties include: meeting with investigators and Data Center staff to iteratively refine data requests, have ongoing iterations of refining with the team during the data extraction process, document and share case definitions and data element definitions with other data extractor in the Data Center, reshape, merge, and recode extracted tables to create an analyzable data table. </p>

Albert Einstein College Of Medicine Interview Questions

Albert Einstein College Of Medicine Interview Guides

Albert Einstein College Of Medicine Interview Questions

Albert Einstein College Of Medicine Salaries by Position

Albert Einstein College Of Medicine Opening Jobs