365 Research Positions jobs in Maryland

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
11. Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
12. Requires Doctorate Degree (or foreign equivalent) Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
13. Requires completion of a graduate-level course, research project, or internship involving the following:
14. 1. Solving analytical problems using quantitative approaches
15. 2. Communicating complex research in a clear, precise, and actionable manner
16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
18. 5. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
19. 6. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
20. 7. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$213,512/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
11. Telecommute from anywhere in the US permitted.
**Minimum Qualifications:**
Minimum Qualifications:
12. Requires a PhD degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mechanical Engineering, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field, OR completion of all coursework towards a PhD degree in Computer Science, Engineering, Information Systems, Mechanical Engineering, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
13. Requires completion of a university-level course, research project, internship, or thesis in the following:
14. 1. Algorithms, data structures, or systems software
15. 2. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
18. 5. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU and
19. 6. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$225,569/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
11. Telecommuting is permitted from anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
12. Requires Doctorate Degree (or foreign equivalent) Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
13. Requires completion of a graduate-level course, research project, or internship involving the following:
14. 1. Solving analytical problems using quantitative approaches
15. 2. Communicating complex research in a clear, precise, and actionable manner
16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
18. 5. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU
19. 6. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
20. 7. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$213,512/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
11. Telecommute from anywhere in the US permitted.
**Minimum Qualifications:**
Minimum Qualifications:
12. Requires a PhD degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mechanical Engineering, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field, OR completion of all coursework towards a PhD degree in Computer Science, Engineering, Information Systems, Mechanical Engineering, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field
13. Requires completion of a university-level course, research project, internship, or thesis in the following:
14. 1. Algorithms, data structures, or systems software
15. 2. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
18. 5. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU and
19. 6. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$225,569/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

The CAPABLE Care + Connect study seeks a **_Research Nurse_** (RN) to serve ~30-35 clients in the Baltimore area on a casual basis as part of a research study. The research study seeks to adapt the existing CAPABLE program for older adults who are at risk for or experiencing social isolation in a home-based primary care setting. This role will work under the direction of the research study Principal Investigator (Dr. Thomas Cudjoe), in collaboration with the Lead CAPABLE Occupational Therapist.
The RN will implement the CAPABLE Care + Connect study protocol after completion of CAPABLE training through Johns Hopkins University School of Nursing CAPABLE on-line training. The CAPABLE Care + Connect program consists of up to four RN home visits over 4-5 months. The RN will work with CAPABLE participants and to understand goals, assess and implement strategies. The RN meets with participants in the home.
The RN uses training and motivational interviewing techniques to conduct a comprehensive interview to identify and prioritize issues that matter to the participants. These goals become the foundation for brainstorming and action plan development and implementation.
The RN documents the participant's own goals in up to 3 Action Plans.
The RN interacts and communicates with the CAPABLE Occupational Therapist (OT) and other team members as needed to ensure close collaboration throughout the research study.
**Specific Duties & Responsibilities**
+ Conduct a comprehensive, semi-structured interview to identify and prioritize issues related to medications, pain, depression, strength and balance, primary care provider communication, and other topics as prioritized by the older adult.
+ Engage participants in problem-solving to identify behavioral and environmental contributors that may impact function. Coach and guide the older adult in building self-efficacy and confidence.
+ Reinforce brainstorming techniques, strategic thinking, and more independent problem-solving to promote the ability to live at home and in the community.
+ Provide education and resources to address future needs and the participant's priorities.
+ Communicate with the OT and other team members on a weekly basis.
+ Document visits according to the organization's guidelines.
+ Travel to participant homes in Baltimore and surrounding counties.
**Minimum Qualifications**
+ Individual must be a registered nurse, licensed in the State of Maryland or state where practicing.
+ 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**
+ Bachelor's Degree in Nursing or related discipline.
+ Experience working with home care with older adults.
+ Ability to work from a collaborative, client-directed model.
+ Willingness and ability to implement a protocol and balance with clinical judgement.
**Classified Title** : Research Nurse
Role/Level/Range: ACRP/03/ME
**Starting Salary Range** : $33.12 - $8.10 HRLY ( 45,046.68 targeted; Commensurate w/exp.)
Employee group: Casual / On Call
**Schedule** : Up to 10 hours per week
FLSA Status: Exempt
**Location** : Hybrid/School of Nursing
Department name: Research Administration
Personnel area: School of Nursing
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

**Job Description**
**Must be enrolled in a university prior to and post internship.**
**Target Internship Duration: May-Aug 2026 or June-Sept 2026.**
**Target internship location: Burlington, MA.**
**The Program:**
Our future success depends on hiring world-class, early in career talent who are looking to power next-generation services and solutions. We are hiring students with a diverse set of skills and experiences to work in and across teams. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact.
**The Team:**
The Machine Learning Research Group is searching for outstanding AI and ML research interns to join our research team. We are passionate about research that both advances science and has impact in the real world. You will be part of an amazing collaborative research team that publishes at the top venues in machine learning and artificial intelligence. Our expertise includes recommender systems, content moderation, foundation models, privacy preserving technology, probabilistic programming, and AI agents. Your contributions have the chance to create real impact.
**Responsibilities**
**What you'll be doing:**
+ Create new datasets that push the limits of existing AI and ML technology
+ Research, design and implement novel methods
+ Contribute to research that may lead to publications or conference presentations
+ Collaborate with other team members and teams
+ Transfer technology to product groups
+ Collaborate with external researchers
**What You'll Bring:**
**To be considered for a Research Assistant position in the Machine Learning Research Group, you must possess the Objective Minimum Qualifications (OMQs) below. Please ensure that your application clearly indicates that you meet these OMQs, either on your resume, application questions, and/or by uploading additional documents such as a transcript.**
+ **Visa sponsorship is not available for this role. For clarity purposes, this means that Oracle is not in a position now, or in the future, to offer US immigration sponsorship. This includes, but is not limited to, support of H-1B, TN, O-1, green card or F-1 e.g. EAD, OPT, CPT, I-20, F-1 visa stamp, etc.**
+ **Currently pursuing a Ph.D. in the field of Recommender Systems, Content Moderation, Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or equivalent AND returning to the program after completion of the internship.**
+ Research and/or work experience in Recommender Systems, Content Moderation, Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or equivalent
+ Excellent programming skills in Python plus hands on experience with common machine learning frameworks, such as PyTorch
+ Outstanding research and publication track record
+ Excellent communication skills
+ Reside in the United States and/or attend a university in the US.
Preferred Qualifications:
+ Minimum 3.0 GPA
The Machine Learning Research Group is an advanced research organization in Oracle. We focus on the development of technologies that keep Oracle at the forefront of the computer industry. Our researchers look for novel approaches and methodologies, often taking on projects with high risk or uncertainty, or that are difficult to tackle within a product development organization. Our research is focused on real-world outcomes: our researchers aim to develop technologies that will play a significant role in the evolution of technology and society.
Disclaimer:
**Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.**
**Range and benefit information provided in this posting are specific to the stated locations only**
US: Hiring Range in USD from $19.62 to $8.32 per hour; from: 40,800 to 79,700 per annum.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC0
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

**Job Description**
**Must be enrolled in a university prior to and post internship.**
**Target Internship Duration: May-Aug 2026 or June-Sept 2026.**
**Target internship location: Burlington, MA.**
**The Program:**
Our future success depends on hiring world-class, early in career talent who are looking to power next-generation services and solutions. We are hiring students with a diverse set of skills and experiences to work in and across teams. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact.
**The Team:**
The Machine Learning Research Group is searching for outstanding AI and ML research interns to join our research team. We are passionate about research that both advances science and has impact in the real world. You will be part of an amazing collaborative research team that publishes at the top venues in machine learning and artificial intelligence. Our expertise includes recommender systems, content moderation, foundation models, privacy preserving technology, probabilistic programming, and AI agents. Your contributions have the chance to create real impact.
**Responsibilities**
**What you'll be doing:**
+ Create new datasets that push the limits of existing AI and ML technology
+ Research, design and implement novel methods
+ Contribute to research that may lead to publications or conference presentations
+ Collaborate with other team members and teams
+ Transfer technology to product groups
+ Collaborate with external researchers
**What You'll Bring:**
**To be considered for a Research Assistant position in the Machine Learning Research Group, you must possess the Objective Minimum Qualifications (OMQs) below. Please ensure that your application clearly indicates that you meet these OMQs, either on your resume, application questions, and/or by uploading additional documents such as a transcript.**
+ **Visa sponsorship is not available for this role. For clarity purposes, this means that Oracle is not in a position now, or in the future, to offer US immigration sponsorship. This includes, but is not limited to, support of H-1B, TN, O-1, green card or F-1 e.g. EAD, OPT, CPT, I-20, F-1 visa stamp, etc.**
+ **Currently pursuing a Ph.D. in the field of Recommender Systems, Content Moderation, Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or equivalent AND returning to the program after completion of the internship.**
+ Research and/or work experience in Recommender Systems, Content Moderation, Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or equivalent
+ Excellent programming skills in Python plus hands on experience with common machine learning frameworks, such as PyTorch
+ Outstanding research and publication track record
+ Excellent communication skills
+ Reside in the United States and/or attend a university in the US.
Preferred Qualifications:
+ Minimum 3.0 GPA
The Machine Learning Research Group is an advanced research organization in Oracle. We focus on the development of technologies that keep Oracle at the forefront of the computer industry. Our researchers look for novel approaches and methodologies, often taking on projects with high risk or uncertainty, or that are difficult to tackle within a product development organization. Our research is focused on real-world outcomes: our researchers aim to develop technologies that will play a significant role in the evolution of technology and society.
Disclaimer:
**Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.**
**Range and benefit information provided in this posting are specific to the stated locations only**
US: Hiring Range in USD from $19.62 to $8.32 per hour; from: 40,800 to 79,700 per annum.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC0
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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

We are seeking a **_Research Project Coordinator_** who will administratively coordinate research protocol implementation, typically for a single study. Will ensure the efficient logistical implementation of the study activities and provide administrative support for all related issues.
**Specific Duties & Responsibilities**
+ Coordinate all activities of a research study to ensure validity of findings.
+ Work with the Principal Investigator or senior research staff to develop operational plans to meet research goals.
+ Develop tools and procedures for data collection and study processes.
+ Collect and organize data per study requirements, e.g. participant interviews, administer questionnaires; conduct background research, laboratory processing, etc.
+ Ensure adherence to protocols and procedures.
+ Assist with setup of data collection system and enter and organize data.
+ Oversee record management for research study.
+ Oversee budget expenditures for study operations.
+ Assist in coordinating study meetings.
+ Participate in study meetings and provide updates on protocol implementation status and make recommendations on operational issues.
+ Conduct literature searches to provide background information.
**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 HS diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.
**Preferred Qualifications**
+ Related undergraduate or work experience in research.
**Classified Title** : Research Project Coordinator
Role/Level/Range: ACRO40/E/03/CD
**Starting Salary Range** : $17.20 - $0.30 HRLY ( 23,441 targeted; Commensurate w/exp.)
Employee group: Casual / On Call
**Schedule** : Flexible Schedule (up to 25 hrs per week)
FLSA Status: Non-Exempt
**Location** : Hybrid/School of Nursing
Department name: Research Administration
Personnel area: School of Nursing
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.
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