230 Research Roles jobs in Maryland
JHU Research Fellow - #Faculty
21217 Baltimore, Maryland
Johns Hopkins University
Posted today
Job Viewed
Job Description
The Armstrong Institute Center for Health Care Human Factors ( ) in the Johns Hopkins University School of Medicine is recruiting a postdoctoral research fellow with expertise in human factors engineering, cognitive psychology, industrial engineering, systems engineering, public health, health services research, anthropology, sociology or a related field. Experience in health care related work is highly desired. Experience or interest in both qualitative and quantitative analysis methods is also desired. The Center for Health Care Human Factors brings together experts in human factors and organizational psychology with an interdisciplinary group of researchers, practitioners and educators to (re)design health care systems and technologies that work for care providers, in order to create efficient and safe care processes, mitigate risk of patient safety, and improve patient outcomes.
The fellow will primarily be working with Dr. Ayse Gurses supporting research projects in a variety of areas such as improving prehospital care delivery, developing EHR based nurse practitioner workload tools, design and implementation of artificial intelligence-based technologies to support frontline care and other and related topics . The fellow will also have the opportunity to collaborate with other interdisciplinary research members of the Armstrong Institute.
Responsibilities:
+ Conduct literature review and summarize findings
+ Utilize knowledge of human factors methodologies, quality literature, theories of innovation and operational expertise to help research team develop goals and strategies to achieve those goals.
+ Assist in the preparation of study protocols and materials and other essential study functions (e.g., IRB).
+ Assist in performing qualitative data collection at multiple sites
o Participate in the development of materials for efficient qualitative data collection.
o Schedule data collection activities
o Recruit study participants; develop recruitment documents (e.g., emails, fliers, etc.,) and facilitate dissemination
o Conduct in-person observations in a variety of care settings
o Conduct in-depth interviews and focus groups with study participants (virtual and in-person) with care professionals and clinicians in different healthcare settings
o Prepare and administer surveys, etc.
+ Assist in the analysis and management of qualitative data collected from sites
o Perform rigorous, computer-assisted qualitative data analysis using software such as NVivo, MAXQDA, Dedoose and other relevant software platforms
+ Author/co-author research manuscripts
+ Identify grant opportunities and assist with grant proposal writing
+ Assist with other relevant work as needed
Minimum qualifications (mandatory):
+ PhD/MD degree or equivalent
+ Formal training and experience in human factors, cognitive psychology, industrial engineering, systems engineering, public health, health services research, anthropology, sociology or other related discipline required.
+ Willing to conduct in-person data collection in a variety of health care settings.
+ Ability and willingness to travel to participating study sites to gather data in site visits.
+ Must be local to the Baltimore, MD area or willing to relocate.
Other requirements (preferred):
+ Demonstrated experience writing peer reviewed publications.
+ Good understanding of both qualitative and quantitative research methodologies
+ Strong interest in conducting field research in health care environments
+ Ability to work independently as well as collaboratively as part of a research team
+ Ability to balance and prioritize tasks, and deliver timely outcomes
+ Excellent problem solving, writing and communication skills
+ Willing to learn about human factors engineering and basic principles under the guidance of the study leads
Special knowledge, skills, abilities and technical qualifications:
+ Strong interest and/or experience in the design and implementation of artificial intelligence based technologies to support frontline care.
+ Expertise and experience in research processes and methodologies including qualitative and quantitative research methods. Strong interest in conducting field research in health care environments.
+ Experience in reviewing literature using common databases, and use of reference software such as Refworks, Endnote and Zotero.
+ Experience in data collection protocols and IRB protocol preparation.
+ Experience with conducting usability evaluations (formative and summative)
+ Experience in research processes and qualitative methodologies for data collection & analysis, with corresponding software experience (e.g. semi-structured interviews, and thematic analysis with NVivo/ MAXQDA).
+ Familiarity with quantitative analysis methods and corresponding software experience (e.g., statistical analysis with SPSS).
+ Familiarity with the healthcare domain and experience conducting research in healthcare.
Salary: $60,000 - $70,000
Application deadline:
+ This position has a starting date in May of 2025. Applicants are encouraged to apply for the position as soon as possible. Applications will be reviewed on a rolling basis.
+ The position is offered for a one-year term, subject to renewal based on performance
Materials to submit:
+ Curriculum Vitae/ Resume
+ Names and contact information for three references
Contact Information:
+ Please email questions to Dr. Ayse Gurses ( ), Cc Patience Osei ( ) and Shay Daodu ( )
Job Type: Full Time
The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range.
Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
EEO is the Law
The fellow will primarily be working with Dr. Ayse Gurses supporting research projects in a variety of areas such as improving prehospital care delivery, developing EHR based nurse practitioner workload tools, design and implementation of artificial intelligence-based technologies to support frontline care and other and related topics . The fellow will also have the opportunity to collaborate with other interdisciplinary research members of the Armstrong Institute.
Responsibilities:
+ Conduct literature review and summarize findings
+ Utilize knowledge of human factors methodologies, quality literature, theories of innovation and operational expertise to help research team develop goals and strategies to achieve those goals.
+ Assist in the preparation of study protocols and materials and other essential study functions (e.g., IRB).
+ Assist in performing qualitative data collection at multiple sites
o Participate in the development of materials for efficient qualitative data collection.
o Schedule data collection activities
o Recruit study participants; develop recruitment documents (e.g., emails, fliers, etc.,) and facilitate dissemination
o Conduct in-person observations in a variety of care settings
o Conduct in-depth interviews and focus groups with study participants (virtual and in-person) with care professionals and clinicians in different healthcare settings
o Prepare and administer surveys, etc.
+ Assist in the analysis and management of qualitative data collected from sites
o Perform rigorous, computer-assisted qualitative data analysis using software such as NVivo, MAXQDA, Dedoose and other relevant software platforms
+ Author/co-author research manuscripts
+ Identify grant opportunities and assist with grant proposal writing
+ Assist with other relevant work as needed
Minimum qualifications (mandatory):
+ PhD/MD degree or equivalent
+ Formal training and experience in human factors, cognitive psychology, industrial engineering, systems engineering, public health, health services research, anthropology, sociology or other related discipline required.
+ Willing to conduct in-person data collection in a variety of health care settings.
+ Ability and willingness to travel to participating study sites to gather data in site visits.
+ Must be local to the Baltimore, MD area or willing to relocate.
Other requirements (preferred):
+ Demonstrated experience writing peer reviewed publications.
+ Good understanding of both qualitative and quantitative research methodologies
+ Strong interest in conducting field research in health care environments
+ Ability to work independently as well as collaboratively as part of a research team
+ Ability to balance and prioritize tasks, and deliver timely outcomes
+ Excellent problem solving, writing and communication skills
+ Willing to learn about human factors engineering and basic principles under the guidance of the study leads
Special knowledge, skills, abilities and technical qualifications:
+ Strong interest and/or experience in the design and implementation of artificial intelligence based technologies to support frontline care.
+ Expertise and experience in research processes and methodologies including qualitative and quantitative research methods. Strong interest in conducting field research in health care environments.
+ Experience in reviewing literature using common databases, and use of reference software such as Refworks, Endnote and Zotero.
+ Experience in data collection protocols and IRB protocol preparation.
+ Experience with conducting usability evaluations (formative and summative)
+ Experience in research processes and qualitative methodologies for data collection & analysis, with corresponding software experience (e.g. semi-structured interviews, and thematic analysis with NVivo/ MAXQDA).
+ Familiarity with quantitative analysis methods and corresponding software experience (e.g., statistical analysis with SPSS).
+ Familiarity with the healthcare domain and experience conducting research in healthcare.
Salary: $60,000 - $70,000
Application deadline:
+ This position has a starting date in May of 2025. Applicants are encouraged to apply for the position as soon as possible. Applications will be reviewed on a rolling basis.
+ The position is offered for a one-year term, subject to renewal based on performance
Materials to submit:
+ Curriculum Vitae/ Resume
+ Names and contact information for three references
Contact Information:
+ Please email questions to Dr. Ayse Gurses ( ), Cc Patience Osei ( ) and Shay Daodu ( )
Job Type: Full Time
The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range.
Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
EEO is the Law
View Now
0
Graduate Research Fellow - Bioinformatics
21201 Baltimore, Maryland
$60000 annum (stip
WhatJobs
Posted 20 days ago
Job Viewed
Job Description
Our client, a leading biomedical research institution renowned for its pioneering work in genetic research and computational biology, is seeking an exceptional Graduate Research Fellow in Bioinformatics. This fully remote position offers a unique opportunity for ambitious graduate students to contribute to groundbreaking research projects, gain invaluable experience with cutting-edge computational tools, and collaborate with world-class scientists. You will immerse yourself in the analysis of complex biological datasets, including genomic, proteomic, and transcriptomic data, to advance our understanding of disease mechanisms and therapeutic targets. This role emphasizes independent research, rigorous analysis, and clear communication of scientific findings.
Responsibilities:
Responsibilities:
- Analyze large-scale biological datasets (genomics, transcriptomics, proteomics, etc.) using bioinformatics tools and pipelines.
- Develop and implement computational methods for data processing, quality control, and statistical analysis.
- Collaborate with research teams to define research questions and design appropriate bioinformatics strategies.
- Interpret results from high-throughput sequencing experiments and other molecular biology assays.
- Develop custom scripts and software tools to automate analysis tasks and facilitate data management.
- Visualize complex biological data to identify patterns, trends, and significant findings.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant biological fields.
- Prepare manuscripts for publication in peer-reviewed journals and present research findings at scientific conferences (virtual or in-person as appropriate).
- Maintain detailed records of experiments, analyses, and findings.
- Contribute to grant proposals and research project planning.
- Currently enrolled in a Master's or Ph.D. program in Bioinformatics, Computational Biology, Computer Science, Statistics, Genetics, or a related field.
- Strong foundation in molecular biology principles and a keen interest in applying computational methods to biological problems.
- Proficiency in programming languages commonly used in bioinformatics, such as Python or R, and experience with relevant libraries (e.g., Biopython, pandas, tidyverse).
- Familiarity with command-line interfaces (Unix/Linux) and shell scripting.
- Experience with next-generation sequencing (NGS) data analysis tools and pipelines is highly desirable.
- Knowledge of statistical methods and machine learning techniques applicable to biological data.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to articulate complex scientific concepts clearly.
- Demonstrated ability to work independently and manage time effectively in a remote research environment.
- A strong publication record or demonstrated potential for scientific writing is a plus.
Apply Now
1
Graduate Research Fellow - Quantum Computing
21201 Baltimore, Maryland
$60000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client is offering a prestigious Graduate Research Fellow position within their advanced research division, located in Baltimore, Maryland, US . This unique internship is designed for exceptional graduate students passionate about pushing the boundaries of quantum computing. You will have the opportunity to work alongside world-class scientists and engineers, contributing to pioneering research in quantum algorithms, hardware development, or theoretical quantum information science. The fellow will engage in challenging research projects, analyze complex data, and potentially contribute to publications or presentations. This role requires a strong theoretical foundation in physics, computer science, or mathematics, with a keen interest in quantum mechanics and its applications. The ideal candidate is a highly motivated self-starter with excellent analytical and problem-solving skills. While this is a hybrid role, allowing for some remote work, regular on-site collaboration with the research team is expected. This fellowship is an unparalleled opportunity to gain hands-on experience in a rapidly evolving and highly impactful field. Responsibilities include:
- Conducting cutting-edge research in areas such as quantum algorithm design, quantum error correction, or quantum system characterization.
- Assisting in the design, development, and testing of quantum computing hardware prototypes.
- Implementing and evaluating quantum algorithms using relevant software tools and simulators.
- Analyzing experimental data and contributing to the interpretation of results.
- Collaborating with senior researchers on theoretical aspects of quantum information science.
- Preparing research reports, presentations, and potentially co-authoring scientific publications.
- Participating in group meetings, seminars, and relevant academic conferences.
- Maintaining detailed and organized research notes and documentation.
- Exploring new research avenues and contributing to the intellectual discourse within the team.
- Learning and applying advanced computational techniques relevant to quantum research.
Apply Now
2
Research Fellow - Diagnostic Imaging Felix Lab - #Faculty
21217 Baltimore, Maryland
Johns Hopkins University
Posted today
Job Viewed
Job Description
The Johns Hopkins University School of Medicine Department of Radiology in the Russell H. Morgan Department of Radiology and Radiological Science in Baltimore, MD is seeking a post-doc research fellow to be hired in the FELIX 2.0 laboratory ( This is a full time, post-doc position. We offer a competitive salary, vacation and excellent benefits.
The FELIX 2.0 laboratory aims to change the trajectory of how pancreatic cancer is detected, how patients are evaluated, and improve outcomes. Its mission is to harness the power of artificial intelligence, help radiologists and clinicians in detecting pancreatic cancer when it could have otherwise been missed. This is an innovative way of approaching what has been a challenge for many decades. Between Johns Hopkins Medicine, the Lustgarten Foundation, and Microsoft AI for Good, the FELIX 2.0 laboratory is pooling vast resources to improve how we do things, especially considering recent advancements in AI technology.
The position will include developing radiomics and deep learning models from contrast-enhanced computed tomography images to improve the early detection of pancreatic tumors and improve patient management. Different machine-learning approaches will be compared, and models validated on data prospectively collected. The position will include working with internal and external databases. The candidate will contribute to coordinating expert interpretation and manuscript writing under supervision.
Specific Duties/Responsibilities:
+ Data Curation: Collect and organize datasets along with relevant clinical information to support and drive research studies
+ Radiomics Pipeline Development: Design and optimize robust radiomics pipelines for characterization of CT images.
+ Machine and Deep learning: Develop and implement machine learning and deep learning algorithms to built detection and prediction models for CT images
+ Performance Evaluation: Conduct rigorous statistical analyses to benchmark and compare the performance of diverse approaches.
+ Model Assessment and Deployment: Evaluate model limitations and implement new approaches for deploying models, enhancing their generalizability and real-world applicability.
+ Communication and Reporting: Prepare reports and study findings to present to PI.
+ Manuscript Preparation: Author high-quality research manuscripts for publication in peer-reviewed journals.
Special knowledge, skills & abilities:
+ Proficiency in programming language such as Python, C++, R and MATLAB.
+ Strong theoretical understanding and practical experience in deep learning-based machine learning or natural language processing.
+ Strong background in statistical modeling.
+ Strong scientific writing skills.
+ Expertise in medical imaging processing or previous work in collaboration with healthcare professionals will be a plus.
+ Master or Ph.D. in computer science, biomedical engineering, or a related field.
+ One year of experience with machine leaning, deep learning and data analysis.
Salary: $62,132-$62,132/yr
Job Type: Full Time
The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range.
Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
EEO is the Law
The FELIX 2.0 laboratory aims to change the trajectory of how pancreatic cancer is detected, how patients are evaluated, and improve outcomes. Its mission is to harness the power of artificial intelligence, help radiologists and clinicians in detecting pancreatic cancer when it could have otherwise been missed. This is an innovative way of approaching what has been a challenge for many decades. Between Johns Hopkins Medicine, the Lustgarten Foundation, and Microsoft AI for Good, the FELIX 2.0 laboratory is pooling vast resources to improve how we do things, especially considering recent advancements in AI technology.
The position will include developing radiomics and deep learning models from contrast-enhanced computed tomography images to improve the early detection of pancreatic tumors and improve patient management. Different machine-learning approaches will be compared, and models validated on data prospectively collected. The position will include working with internal and external databases. The candidate will contribute to coordinating expert interpretation and manuscript writing under supervision.
Specific Duties/Responsibilities:
+ Data Curation: Collect and organize datasets along with relevant clinical information to support and drive research studies
+ Radiomics Pipeline Development: Design and optimize robust radiomics pipelines for characterization of CT images.
+ Machine and Deep learning: Develop and implement machine learning and deep learning algorithms to built detection and prediction models for CT images
+ Performance Evaluation: Conduct rigorous statistical analyses to benchmark and compare the performance of diverse approaches.
+ Model Assessment and Deployment: Evaluate model limitations and implement new approaches for deploying models, enhancing their generalizability and real-world applicability.
+ Communication and Reporting: Prepare reports and study findings to present to PI.
+ Manuscript Preparation: Author high-quality research manuscripts for publication in peer-reviewed journals.
Special knowledge, skills & abilities:
+ Proficiency in programming language such as Python, C++, R and MATLAB.
+ Strong theoretical understanding and practical experience in deep learning-based machine learning or natural language processing.
+ Strong background in statistical modeling.
+ Strong scientific writing skills.
+ Expertise in medical imaging processing or previous work in collaboration with healthcare professionals will be a plus.
+ Master or Ph.D. in computer science, biomedical engineering, or a related field.
+ One year of experience with machine leaning, deep learning and data analysis.
Salary: $62,132-$62,132/yr
Job Type: Full Time
The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range.
Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
EEO is the Law
View Now
3
Research Assistant
21217 Baltimore, Maryland
Kennedy Krieger Institute
Posted today
Job Viewed
Job Description
**Overview**
The Research Assistant I will conduct rehabilitation research, data collection, analysis, and interpretation for various research studies and grants. This position focuses on pediatric brain injury, under the direction of the Director of Rehabilitation Neuropsychology.
**research experience with children is highly desired
**Responsibilities**
1. Coordinate the collection of primary outcome data for multicenter studies with regular contact with data coordinating center and/or site research coordinators. Participate in regular, multi-site conference calls to assist with study coordination.
2. Assist with data tracking to ensure accurate data collection, adjudication, and data entry across studies and sites.
3. Maintain and manage research databases of study participants.
4. Conduct semi-structured telephone interviews and obtain outcome data for clinical studies. May perform educational, developmental, or other forms of testing as required with research participants.
5. Coordinate Institutional Review Board (IRB) applications and maintain regulatory documents for IRB compliance for various research projects. Assist with carrying out research protocols.
6. Score, code, and verify data.
7. Conduct research interviews and screen subjects for participation in various research studies.
8. Recruit research subjects and coordinate research visits. Meet with research participants and their parent/guardian to review and obtain consent for participation.
9. Analyze behavioral data, generate reports, and build queries.
10. Assist with planning and developing survey instruments.
11. Participate in development of grant proposals and manuscript preparation including, but not limited to, conducting literature searches, performing data analyses, and assisting in the writing of manuscripts and grants.
12. Schedule and participate in research meetings.
**Qualifications**
EDUCATION:
* Bachelor's degree required.
* Master's degree in Psychology or related field preferred.
EXPERIENCE:
* Experience coordinating investigator-initiated research protocols preferred.
* Professional experience in a pediatric setting preferred.
* Experience in child development preferred.
**Minimum pay range**
USD $37,132.78/Yr.
**Maximum pay range**
USD $60,215.17/Yr.
**Vacancy ID** _12234_
**Pos. Category** _Research & Laboratories_
**Job Location : Street** _716 N. Broadway_
**# of Hours** _40.00_
**_Job Locations_** _US-MD-Baltimore_
**Pos. Type** _Regular Full Time_
**Department : Name** _Neurorehabilitation_
Equal Opportunity Provider & Employer M/F/Disability/ProtectedVet
The Research Assistant I will conduct rehabilitation research, data collection, analysis, and interpretation for various research studies and grants. This position focuses on pediatric brain injury, under the direction of the Director of Rehabilitation Neuropsychology.
**research experience with children is highly desired
**Responsibilities**
1. Coordinate the collection of primary outcome data for multicenter studies with regular contact with data coordinating center and/or site research coordinators. Participate in regular, multi-site conference calls to assist with study coordination.
2. Assist with data tracking to ensure accurate data collection, adjudication, and data entry across studies and sites.
3. Maintain and manage research databases of study participants.
4. Conduct semi-structured telephone interviews and obtain outcome data for clinical studies. May perform educational, developmental, or other forms of testing as required with research participants.
5. Coordinate Institutional Review Board (IRB) applications and maintain regulatory documents for IRB compliance for various research projects. Assist with carrying out research protocols.
6. Score, code, and verify data.
7. Conduct research interviews and screen subjects for participation in various research studies.
8. Recruit research subjects and coordinate research visits. Meet with research participants and their parent/guardian to review and obtain consent for participation.
9. Analyze behavioral data, generate reports, and build queries.
10. Assist with planning and developing survey instruments.
11. Participate in development of grant proposals and manuscript preparation including, but not limited to, conducting literature searches, performing data analyses, and assisting in the writing of manuscripts and grants.
12. Schedule and participate in research meetings.
**Qualifications**
EDUCATION:
* Bachelor's degree required.
* Master's degree in Psychology or related field preferred.
EXPERIENCE:
* Experience coordinating investigator-initiated research protocols preferred.
* Professional experience in a pediatric setting preferred.
* Experience in child development preferred.
**Minimum pay range**
USD $37,132.78/Yr.
**Maximum pay range**
USD $60,215.17/Yr.
**Vacancy ID** _12234_
**Pos. Category** _Research & Laboratories_
**Job Location : Street** _716 N. Broadway_
**# of Hours** _40.00_
**_Job Locations_** _US-MD-Baltimore_
**Pos. Type** _Regular Full Time_
**Department : Name** _Neurorehabilitation_
Equal Opportunity Provider & Employer M/F/Disability/ProtectedVet
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4
Research Assistant - #Staff
21217 Baltimore, Maryland
Johns Hopkins University
Posted today
Job Viewed
Job Description
The **_Research Assistant_** oversees data collection, data organization, and/or data management or similar functions/tasks for research study( ies ) in support of a PI or a research team.
**Specific Duties & Responsibilities**
+ Run routine and ad hoc reports.
+ Use standard tools and computer programs to review data.
+ Assist with data cleaning measures to ensure accuracy of data and preparation of tables.
+ Lead basic activities such as data collection and data entry.
+ May lead specific tasks and develop processes to ensure study activities occur effectively and efficiently.
+ May conduct literature searches to support faculty in research efforts.
+ May design and format papers/publications.
+ May assist PIs in writing summaries of papers for release as policy briefs or other channels.
+ Other duties as assigned.
**In addition to the duties described above**
+ Perform accurate data entry and maintain detailed logs of sample collection, processing, and storage to ensure proper documentation and traceability.
+ Generate and run reports from the study database to support data analysis, quality control, and project progress tracking.
**Technical Skills and Expected Level of Proficiency**
+ Analytical Skills - Awareness
+ Attention to Detail - Awareness
+ Data Management and Analysis - Awareness
+ Formatting and Layout Proficiency - Awareness
+ Information Gathering - Awareness
+ Oral and Written Communications - Awareness
+ Organizational Skills - Awareness
The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.
**Minimum Qualifications**
+ Bachelor's degree in related field.
+ Additional education may substitute for required experience and additional related experience may substitute for required education beyond HS diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.
**Preferred Qualifications**
+ Prior experience Preferred.
Classified Title: Research Assistant
Role/Level/Range: ACRO40/E/03/CD
Starting Salary Range: $17.20 - $0.30 HRLY ( 49,000 targeted; Commensurate w/exp.)
Employee group: Full Time
Schedule: Monday - Friday, 8:00am - 4:30pm
FLSA Status: Non-Exempt
Location: School of Medicine Campus
Department name: SOM Uro Urology Research
Personnel area: School of Medicine
The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range.
Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
EEO is the Law
**Specific Duties & Responsibilities**
+ Run routine and ad hoc reports.
+ Use standard tools and computer programs to review data.
+ Assist with data cleaning measures to ensure accuracy of data and preparation of tables.
+ Lead basic activities such as data collection and data entry.
+ May lead specific tasks and develop processes to ensure study activities occur effectively and efficiently.
+ May conduct literature searches to support faculty in research efforts.
+ May design and format papers/publications.
+ May assist PIs in writing summaries of papers for release as policy briefs or other channels.
+ Other duties as assigned.
**In addition to the duties described above**
+ Perform accurate data entry and maintain detailed logs of sample collection, processing, and storage to ensure proper documentation and traceability.
+ Generate and run reports from the study database to support data analysis, quality control, and project progress tracking.
**Technical Skills and Expected Level of Proficiency**
+ Analytical Skills - Awareness
+ Attention to Detail - Awareness
+ Data Management and Analysis - Awareness
+ Formatting and Layout Proficiency - Awareness
+ Information Gathering - Awareness
+ Oral and Written Communications - Awareness
+ Organizational Skills - Awareness
The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.
**Minimum Qualifications**
+ Bachelor's degree in related field.
+ Additional education may substitute for required experience and additional related experience may substitute for required education beyond HS diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.
**Preferred Qualifications**
+ Prior experience Preferred.
Classified Title: Research Assistant
Role/Level/Range: ACRO40/E/03/CD
Starting Salary Range: $17.20 - $0.30 HRLY ( 49,000 targeted; Commensurate w/exp.)
Employee group: Full Time
Schedule: Monday - Friday, 8:00am - 4:30pm
FLSA Status: Non-Exempt
Location: School of Medicine Campus
Department name: SOM Uro Urology Research
Personnel area: School of Medicine
The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range.
Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
EEO is the Law
View Now
5
Research Assistant - Cleveland, OH - #Staff
21217 Baltimore, Maryland
Johns Hopkins University
Posted today
Job Viewed
Job Description
**Based in Cleveland** , the **Research Assistant** oversees data collection, data organization, and/or data management or similar functions/tasks for research study(ies) in support of a PI or a research team.
**Specific Duties & Responsibilities**
+ Run routine and ad hoc reports.
+ Use standard tools and computer programs to review data.
+ Assist with data cleaning measures to ensure accuracy of data and preparation of tables.
+ Lead basic activities such as data collection and data entry.
+ May lead specific tasks and develop processes to ensure study activities occur effectively and efficiently.
+ May conduct literature searches to support faculty in research efforts.
+ May design and format papers/publications.
+ May assist PIs in writing summaries of papers for release as policy briefs or other channels.
+ Other duties as assigned.
**In addition to the duties described above:**
+ Housing mobility programs are designed to help families move from high-poverty neighborhoods into lower-poverty, better-resourced ones. The MOVED (Mobility Opportunity Vouchers to Eliminate Diabetes and Obesity) Study is designed to test whether helping families move changes adult and child health. The Johns Hopkins Bloomberg School of Public Health's Department of Health Policy & Management is seeking Research Assistants (RAs) based in Cleveland who will assist with tasks on the MOVED Study.
+ Research Assistants will complete phone and in-person survey interviews with one adult and one child in the family home.
+ Data collection will include taking measures of participants' height, weight, waist circumference, blood pressure, and a finger stick for diabetes, at the participants' home.
+ Will be responsible for independently scheduling appointments and making reminder/confirmation calls.
**Minimum Qualifications**
+ Bachelor's Degree in related field.
+ Additional education may substitute for required experience, and additional related experience may substitute for required education beyond high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.
**Preferred Qualifications**
+ Experience working within a research setting, preferably with field experience or engaging and recruiting participants.
+ Experience engaging participants from diverse backgrounds.
+ An interest and experience in housing, neighborhood factors, and/or food policy.
**Technical Skills & Expected Level of Proficiency**
+ Analytical Skills - Awareness
+ Attention to Detail - Awareness
+ Data Management and Analysis - Awareness
+ Formatting and Layout Proficiency - Awareness
+ Information Gathering - Awareness
+ Oral and Written Communications - Awareness
+ Organizational Skill -Awareness
_The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs._
Classified Title: Research Assistant
Job Posting Title (Working Title): Research Assistant - Cleveland, OH
Role/Level/Range: ACRO40/E/03/CD
Starting Salary Range: $17.20 - $30.30 HRLY (Commensurate w/exp.)
Employee group: Casual / On Call
Schedule: Hours Vary: Up to 20 hours per week and as needed (including some evenings and weekends)
FLSA Status: Non-Exempt
Location: Remote in Cleveland, OH
Department name: -Health Policy & Management -IHSP
Personnel area: School of Public Health
The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range.
Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
EEO is the Law
**Specific Duties & Responsibilities**
+ Run routine and ad hoc reports.
+ Use standard tools and computer programs to review data.
+ Assist with data cleaning measures to ensure accuracy of data and preparation of tables.
+ Lead basic activities such as data collection and data entry.
+ May lead specific tasks and develop processes to ensure study activities occur effectively and efficiently.
+ May conduct literature searches to support faculty in research efforts.
+ May design and format papers/publications.
+ May assist PIs in writing summaries of papers for release as policy briefs or other channels.
+ Other duties as assigned.
**In addition to the duties described above:**
+ Housing mobility programs are designed to help families move from high-poverty neighborhoods into lower-poverty, better-resourced ones. The MOVED (Mobility Opportunity Vouchers to Eliminate Diabetes and Obesity) Study is designed to test whether helping families move changes adult and child health. The Johns Hopkins Bloomberg School of Public Health's Department of Health Policy & Management is seeking Research Assistants (RAs) based in Cleveland who will assist with tasks on the MOVED Study.
+ Research Assistants will complete phone and in-person survey interviews with one adult and one child in the family home.
+ Data collection will include taking measures of participants' height, weight, waist circumference, blood pressure, and a finger stick for diabetes, at the participants' home.
+ Will be responsible for independently scheduling appointments and making reminder/confirmation calls.
**Minimum Qualifications**
+ Bachelor's Degree in related field.
+ Additional education may substitute for required experience, and additional related experience may substitute for required education beyond high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.
**Preferred Qualifications**
+ Experience working within a research setting, preferably with field experience or engaging and recruiting participants.
+ Experience engaging participants from diverse backgrounds.
+ An interest and experience in housing, neighborhood factors, and/or food policy.
**Technical Skills & Expected Level of Proficiency**
+ Analytical Skills - Awareness
+ Attention to Detail - Awareness
+ Data Management and Analysis - Awareness
+ Formatting and Layout Proficiency - Awareness
+ Information Gathering - Awareness
+ Oral and Written Communications - Awareness
+ Organizational Skill -Awareness
_The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs._
Classified Title: Research Assistant
Job Posting Title (Working Title): Research Assistant - Cleveland, OH
Role/Level/Range: ACRO40/E/03/CD
Starting Salary Range: $17.20 - $30.30 HRLY (Commensurate w/exp.)
Employee group: Casual / On Call
Schedule: Hours Vary: Up to 20 hours per week and as needed (including some evenings and weekends)
FLSA Status: Non-Exempt
Location: Remote in Cleveland, OH
Department name: -Health Policy & Management -IHSP
Personnel area: School of Public Health
The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range.
Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
EEO is the Law
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6
Research Assistant (Mental Health) - #Staff
21217 Baltimore, Maryland
Johns Hopkins University
Posted today
Job Viewed
Job Description
We are seeking a **_Research Assistant_** who will oversee data collection, data organization, and/or data management or similar functions/tasks for research study(ies) in support of a PI or a research team. This position will support data collection, management, and coordination activities in ongoing studies addressing violence and mental health comorbidities among Black women and families.
**Specific Duties & Responsibilities**
+ Run routine and ad hoc reports.
+ Use standard tools and computer programs to review data.
+ Assist with data cleaning measures to ensure accuracy of data and preparation of tables.
+ Lead basic activities such as data collection and data entry.
+ May lead specific tasks and develop processes to ensure study activities occur effectively and efficiently.
+ May conduct literature searches to support faculty in research efforts.
+ May design and format papers/publications.
+ May assist PIs in writing summaries of papers for release as policy briefs or other channels.
+ Other duties as assigned.
_In addition to the duties described above_
+ Support participant recruitment and engagement activities that may require evening and weekend hours to accommodate participants' availability
+ Travel within the DMV area to distribute flyers, engage with community partners, and promote study participants in local settings
+ Conduct in-person participant visits in the DMV area, ensuring respectful, culturally sensitive, and protocol-adherent interactions
+ Assist with the logistics of off-site data collection, including transporting study materials and maintaining secure handling of participant information
+ This position will require working some evening hours (after 5pm) and weekend hours (Saturday and Sunday) to accommodate participants' schedules and needs.
**Minimum Qualifications**
+ Bachelor's Degree in a related field.
+ 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.
**Preferred Qualifications**
+ Proficiency in Microsoft applications (i.e., Word, Excel).
+ Proficiency in Qualtrics.
+ Experience working on research projects involving marginalized or underrepresented populations.
Classified Title: Research Assistant
Role/Level/Range: ACRO40/E/03/CD
Starting Salary Range: $17.20 - $30.30 HRLY (Commensurate w/exp.)
Employee group: Full Time
Schedule: Monday to Friday: 9:00am - 5:00pm
FLSA Status: Non-Exempt
Location: Hybrid/School of Public Health
Department name: Mental Health Research Projects
Personnel area: School of Public Health
The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range.
Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
EEO is the Law
**Specific Duties & Responsibilities**
+ Run routine and ad hoc reports.
+ Use standard tools and computer programs to review data.
+ Assist with data cleaning measures to ensure accuracy of data and preparation of tables.
+ Lead basic activities such as data collection and data entry.
+ May lead specific tasks and develop processes to ensure study activities occur effectively and efficiently.
+ May conduct literature searches to support faculty in research efforts.
+ May design and format papers/publications.
+ May assist PIs in writing summaries of papers for release as policy briefs or other channels.
+ Other duties as assigned.
_In addition to the duties described above_
+ Support participant recruitment and engagement activities that may require evening and weekend hours to accommodate participants' availability
+ Travel within the DMV area to distribute flyers, engage with community partners, and promote study participants in local settings
+ Conduct in-person participant visits in the DMV area, ensuring respectful, culturally sensitive, and protocol-adherent interactions
+ Assist with the logistics of off-site data collection, including transporting study materials and maintaining secure handling of participant information
+ This position will require working some evening hours (after 5pm) and weekend hours (Saturday and Sunday) to accommodate participants' schedules and needs.
**Minimum Qualifications**
+ Bachelor's Degree in a related field.
+ 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.
**Preferred Qualifications**
+ Proficiency in Microsoft applications (i.e., Word, Excel).
+ Proficiency in Qualtrics.
+ Experience working on research projects involving marginalized or underrepresented populations.
Classified Title: Research Assistant
Role/Level/Range: ACRO40/E/03/CD
Starting Salary Range: $17.20 - $30.30 HRLY (Commensurate w/exp.)
Employee group: Full Time
Schedule: Monday to Friday: 9:00am - 5:00pm
FLSA Status: Non-Exempt
Location: Hybrid/School of Public Health
Department name: Mental Health Research Projects
Personnel area: School of Public Health
The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range.
Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
EEO is the Law
View Now
7
Graduate Research Assistant - Data Science
21201 Baltimore, Maryland
$25 Hourly
WhatJobs
Posted 9 days ago
Job Viewed
Job Description
Our client is seeking a highly motivated and intellectually curious Graduate Research Assistant to support cutting-edge data science projects. This position is based in **Baltimore, Maryland, US**, offering a dynamic blend of on-site collaboration and remote flexibility. The successful candidate will contribute to complex analytical tasks, data visualization, and the development of predictive models under the guidance of senior researchers.
Responsibilities:
Qualifications:
This internship provides an invaluable opportunity to gain hands-on experience in a challenging and evolving field. You will work with real-world data and contribute to meaningful research outcomes. The hybrid work model allows for a balance between focused individual work and collaborative team engagement. We are looking for aspiring data scientists eager to learn and grow.
Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets from various sources.
- Perform statistical analysis and develop machine learning models using Python or R.
- Create insightful data visualizations and dashboards to communicate findings to stakeholders.
- Conduct literature reviews and stay abreast of the latest advancements in data science and AI.
- Contribute to research papers, presentations, and project documentation.
- Collaborate with cross-functional teams to understand research objectives and data requirements.
- Support the development and testing of new algorithms and methodologies.
- Participate in regular team meetings, both in-person and virtual.
Qualifications:
- Currently pursuing a Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Strong foundation in statistical modeling, machine learning algorithms, and data mining techniques.
- Proficiency in programming languages such as Python (NumPy, Pandas, Scikit-learn) or R.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Familiarity with database management and SQL.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication abilities.
- Ability to work independently and as part of a collaborative research team.
- Enthusiasm for data-driven research and innovation.
This internship provides an invaluable opportunity to gain hands-on experience in a challenging and evolving field. You will work with real-world data and contribute to meaningful research outcomes. The hybrid work model allows for a balance between focused individual work and collaborative team engagement. We are looking for aspiring data scientists eager to learn and grow.
Apply Now
8
Graduate Research Assistant - Data Science
21201 Baltimore, Maryland
$20 Hourly
WhatJobs
Posted 25 days ago
Job Viewed
Job Description
Our client is offering an exciting Graduate Research Assistant opportunity focused on Data Science within a leading research institution located in **Baltimore, Maryland, US**. This internship is designed for ambitious graduate students looking to gain practical experience in cutting-edge data analysis, machine learning, and statistical modeling. The intern will work closely with senior researchers on a project involving (Specify project area, e.g., analyzing large datasets to identify trends in public health or developing predictive models for financial markets). Responsibilities include data cleaning and preprocessing, implementing machine learning algorithms, visualizing data, contributing to research papers, and presenting findings to the team. The ideal candidate will have a strong academic background in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, with a solid understanding of data science principles and programming languages like Python or R. Experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow) is a plus. This role offers a unique chance to apply theoretical knowledge to real-world problems, collaborate with experts in the field, and enhance your research and analytical skills. The position requires a blend of independent work and collaborative team engagement, with the flexibility to work remotely on certain days, while requiring presence in the **Baltimore, Maryland, US** office for team meetings and specific lab work. This is an excellent stepping stone for a career in data science research or applied analytics.
Apply Now
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