Research Scientist
20080 Washington, District Of Columbia
Meta
Posted 9 days ago
Job Viewed
Job Description
**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 U.S.
12. permitted.
**Minimum Qualifications:**
Minimum Qualifications:
13. Requires a Doctorate degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field
14. Position also requires completion of a university-level course, research project, internship, or thesis in the following:
15. 1. Algorithms, data structures, or systems software
16. 2. Solving analytical problems using quantitative approaches
17. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
18. 4. Communicating complex research in a clear, precise, and actionable manner
19. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
20. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
21. 7. Devising better data-driven models of human behavior
22. 8. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
23. and 9. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$232,652/year to $290,180/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
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 U.S.
12. permitted.
**Minimum Qualifications:**
Minimum Qualifications:
13. Requires a Doctorate degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field
14. Position also requires completion of a university-level course, research project, internship, or thesis in the following:
15. 1. Algorithms, data structures, or systems software
16. 2. Solving analytical problems using quantitative approaches
17. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
18. 4. Communicating complex research in a clear, precise, and actionable manner
19. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
20. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
21. 7. Devising better data-driven models of human behavior
22. 8. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
23. and 9. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$232,652/year to $290,180/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
View Now
0
Healthcare Research Scientist
20080 Washington, District Of Columbia
The Joint Commission
Posted 20 days ago
Job Viewed
Job Description
**Overview**
Joint Commission seeks a Healthcare Research Scientist with deep expertise in causal inference and healthcare data analytics to advance our enterprise-wide research and improvement agenda. The ideal candidate will have demonstrated success in applying rigorous statistical methods to observational data, including electronic health records (EHRs) and administrative claims, to generate actionable insights that support health system improvement, accreditation strategy, and public accountability. This individual must be adept at ensuring that externally communicated findings align with the Joint Commission's strategic goals and mission. The role involves collaboration across Joint Commissions certification, standards, and performance measurement programs and helps extend the organization's analytic capabilities in ways that promote equity and quality in healthcare delivery.
**Responsibilities**
+ Design and lead applied research studies that estimate associations and causal effects from non-randomized healthcare data, contribute to Joint Commissions priorities in quality measurement, accreditation and certification evaluation, and system-level learning.
+ Develop and implement advanced analytic methods, including but not limited to instrumental variables, difference-in-differences, marginal structural models, propensity score-based techniques, synthetic controls, and machine learning.
+ Work with JC's diverse data resources, including accreditation findings, electronic health record (EHR) data, ORYX/eCQM submissions, and patient-level data (PLD) from participating health systems, as well as external sources such as Medicare and Medicaid claims.
+ Translate research findings into accessible, policy-relevant insights for diverse audiences including regulators, hospital leaders, clinicians, and the public.
+ Ensure that public-facing research outputs and communication reflect the strategic and reputational interests of the Joint Commission.
+ Publish findings in peer-reviewed journals and contribute to internal strategic products, performance improvement resources, and external stakeholder briefings.
+ Develop non-technical memos, briefs, and other materials to inform internal leadership decisions and support external stakeholder engagement.
+ Collaborate with cross-functional teams within the Joint Commission, the National Quality Forum (NQF), and external partners to inform accreditation standards, accreditation and certification criteria, and benchmarking methodologies.
+ Provide direction to and oversight of data analysts and research assistants assigned to support project work, ensuring high-quality and timely execution of analytic tasks.
+ Contribute to a culture of rigor, transparency, and equity in research planning, execution, and dissemination.
**Qualifications**
**Required Qualifications:**
+ PhD or equivalent in economics, health services research, epidemiology, biostatistics, or a related quantitative field.
+ 2 years post-doctoral experience applying causal inference methods to real-world healthcare data, especially EHRs and administrative claims.
+ Peer-reviewed publication record in areas such as healthcare economics, outcomes, delivery, policy, quality, or safety.
+ Demonstrated success communicating analytic findings.
+ Ability to independently code, execute, and troubleshoot statistical analyses in R, Stata, or Python.
+ Commitment to Joint Commission's mission to continuously improve healthcare for the public, in collaboration with key stakeholders.
+ Demonstrated track record of designing and overseeing analytic projects from concept through execution, including managing scope, timelines, and outputs in research or applied settings.
**Preferred Qualifications:**
+ Experience with Joint Commission's quality and process measures in prior work.
+ Experience conducting research within an organization where outputs must align with institutional mission and communications strategy (e.g., ASPE, CMS, AHRQ, VA, state agencies, consulting companies, etc.).
+ Familiarity with predictive modeling or statistical learning methods is welcome, especially when integrated with causal inference approaches.
+ Familiarity with regulatory, payer, or policy contexts (e.g., CMS Conditions of Participation, state Medicaid programs, or alternative payment models).
+ Experience working in cross-functional teams, including collaborating across roles and managing project-based responsibilities without direct supervisory authority.
**We offer a comprehensive benefit package. For a complete overview of our benefits package, please visit ourJoint Commission Career Page ( $99,000.00/year
**Max**
USD $134,000.00/year
**Job Locations** _US-DC_
**Job ID** _ _
**# of Openings** _1_
**Category** _Research_
+ Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.
+ Please view Equal Employment Opportunity Posters provided by OFCCP here.
+ The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
+ This Organization Participates in E-Verify. Click here for more information.
Joint Commission seeks a Healthcare Research Scientist with deep expertise in causal inference and healthcare data analytics to advance our enterprise-wide research and improvement agenda. The ideal candidate will have demonstrated success in applying rigorous statistical methods to observational data, including electronic health records (EHRs) and administrative claims, to generate actionable insights that support health system improvement, accreditation strategy, and public accountability. This individual must be adept at ensuring that externally communicated findings align with the Joint Commission's strategic goals and mission. The role involves collaboration across Joint Commissions certification, standards, and performance measurement programs and helps extend the organization's analytic capabilities in ways that promote equity and quality in healthcare delivery.
**Responsibilities**
+ Design and lead applied research studies that estimate associations and causal effects from non-randomized healthcare data, contribute to Joint Commissions priorities in quality measurement, accreditation and certification evaluation, and system-level learning.
+ Develop and implement advanced analytic methods, including but not limited to instrumental variables, difference-in-differences, marginal structural models, propensity score-based techniques, synthetic controls, and machine learning.
+ Work with JC's diverse data resources, including accreditation findings, electronic health record (EHR) data, ORYX/eCQM submissions, and patient-level data (PLD) from participating health systems, as well as external sources such as Medicare and Medicaid claims.
+ Translate research findings into accessible, policy-relevant insights for diverse audiences including regulators, hospital leaders, clinicians, and the public.
+ Ensure that public-facing research outputs and communication reflect the strategic and reputational interests of the Joint Commission.
+ Publish findings in peer-reviewed journals and contribute to internal strategic products, performance improvement resources, and external stakeholder briefings.
+ Develop non-technical memos, briefs, and other materials to inform internal leadership decisions and support external stakeholder engagement.
+ Collaborate with cross-functional teams within the Joint Commission, the National Quality Forum (NQF), and external partners to inform accreditation standards, accreditation and certification criteria, and benchmarking methodologies.
+ Provide direction to and oversight of data analysts and research assistants assigned to support project work, ensuring high-quality and timely execution of analytic tasks.
+ Contribute to a culture of rigor, transparency, and equity in research planning, execution, and dissemination.
**Qualifications**
**Required Qualifications:**
+ PhD or equivalent in economics, health services research, epidemiology, biostatistics, or a related quantitative field.
+ 2 years post-doctoral experience applying causal inference methods to real-world healthcare data, especially EHRs and administrative claims.
+ Peer-reviewed publication record in areas such as healthcare economics, outcomes, delivery, policy, quality, or safety.
+ Demonstrated success communicating analytic findings.
+ Ability to independently code, execute, and troubleshoot statistical analyses in R, Stata, or Python.
+ Commitment to Joint Commission's mission to continuously improve healthcare for the public, in collaboration with key stakeholders.
+ Demonstrated track record of designing and overseeing analytic projects from concept through execution, including managing scope, timelines, and outputs in research or applied settings.
**Preferred Qualifications:**
+ Experience with Joint Commission's quality and process measures in prior work.
+ Experience conducting research within an organization where outputs must align with institutional mission and communications strategy (e.g., ASPE, CMS, AHRQ, VA, state agencies, consulting companies, etc.).
+ Familiarity with predictive modeling or statistical learning methods is welcome, especially when integrated with causal inference approaches.
+ Familiarity with regulatory, payer, or policy contexts (e.g., CMS Conditions of Participation, state Medicaid programs, or alternative payment models).
+ Experience working in cross-functional teams, including collaborating across roles and managing project-based responsibilities without direct supervisory authority.
**We offer a comprehensive benefit package. For a complete overview of our benefits package, please visit ourJoint Commission Career Page ( $99,000.00/year
**Max**
USD $134,000.00/year
**Job Locations** _US-DC_
**Job ID** _ _
**# of Openings** _1_
**Category** _Research_
+ Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.
+ Please view Equal Employment Opportunity Posters provided by OFCCP here.
+ The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
+ This Organization Participates in E-Verify. Click here for more information.
View Now
1
AI Research Scientist
20001 Washington, District Of Columbia
$140000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client is a cutting-edge technology firm seeking a brilliant and innovative AI Research Scientist to join their advanced research team based in Washington, D.C., US . This role is critical for pushing the boundaries of artificial intelligence and developing novel solutions for complex real-world problems. You will be responsible for designing, implementing, and evaluating state-of-the-art machine learning algorithms, conducting in-depth research, and contributing to the publication of findings in leading AI conferences and journals. The ideal candidate will have a deep theoretical understanding of AI and a proven track record of applying AI techniques to solve challenging problems.
Responsibilities include exploring new AI paradigms, developing robust algorithms for areas such as natural language processing, computer vision, or reinforcement learning, and collaborating with engineering teams to translate research prototypes into deployable products. You will stay abreast of the latest advancements in the field, contribute to the intellectual property portfolio, and mentor junior researchers. A Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a strong focus on AI is required. Demonstrated experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages like Python is essential. Strong analytical skills, the ability to work independently and as part of a collaborative team, and excellent problem-solving capabilities are necessary. This position is based in our Washington, D.C., US office, fostering a collaborative environment for innovation. Prior research experience, publications, or contributions to open-source AI projects are highly valued. We are looking for individuals who are passionate about creating the future of AI and possess a strong drive for scientific discovery and technological advancement.
Responsibilities include exploring new AI paradigms, developing robust algorithms for areas such as natural language processing, computer vision, or reinforcement learning, and collaborating with engineering teams to translate research prototypes into deployable products. You will stay abreast of the latest advancements in the field, contribute to the intellectual property portfolio, and mentor junior researchers. A Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a strong focus on AI is required. Demonstrated experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages like Python is essential. Strong analytical skills, the ability to work independently and as part of a collaborative team, and excellent problem-solving capabilities are necessary. This position is based in our Washington, D.C., US office, fostering a collaborative environment for innovation. Prior research experience, publications, or contributions to open-source AI projects are highly valued. We are looking for individuals who are passionate about creating the future of AI and possess a strong drive for scientific discovery and technological advancement.
Apply Now
2
AI Research Scientist
20001 Washington, District Of Columbia
$150000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client, a premier research institution at the cutting edge of artificial intelligence and emerging technologies, is seeking an innovative AI Research Scientist to join their distinguished team in Washington, D.C. . This role is integral to advancing the field of AI through rigorous research, experimentation, and the development of novel algorithms and models. You will delve into complex challenges, explore new AI paradigms, and contribute to high-impact projects that push the boundaries of machine learning, deep learning, natural language processing, or computer vision. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, coupled with a strong publication record in top-tier conferences or journals. You should have hands-on experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn, and proficiency in programming languages like Python. Responsibilities include formulating research hypotheses, designing and conducting experiments, analyzing results, and presenting findings to technical and non-technical audiences. We are looking for a creative thinker, a meticulous researcher, and a collaborative team player eager to contribute to groundbreaking AI advancements. This is an unparalleled opportunity to shape the future of AI in a stimulating and resource-rich environment.
Responsibilities:
Qualifications:
Responsibilities:
- Conduct advanced research in artificial intelligence, machine learning, and related fields.
- Develop and implement novel AI algorithms, models, and techniques.
- Design and execute experiments to validate research hypotheses and evaluate performance.
- Analyze large datasets to extract insights and identify patterns.
- Collaborate with a team of researchers and engineers to translate research findings into practical applications.
- Publish research results in leading AI conferences and journals.
- Stay abreast of the latest advancements and trends in AI and machine learning.
- Develop and maintain robust, reproducible research code.
- Contribute to grant proposals and secure research funding.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a closely related field.
- Proven experience in AI research with a strong publication record in reputable venues.
- Deep understanding of machine learning, deep learning, and statistical modeling techniques.
- Proficiency in Python and AI/ML libraries such as TensorFlow, PyTorch, Keras, and scikit-learn.
- Experience with data manipulation and analysis tools.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to present complex technical information clearly.
- Ability to work independently and as part of a collaborative research team.
- Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
Apply Now
3
AI Research Scientist
20001 Washington, District Of Columbia
$170000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Washington, D.C., US
Our client is at the forefront of AI innovation and is seeking an exceptional AI Research Scientist to join our dynamic and globally distributed team. This fully remote role is an opportunity to contribute to groundbreaking research and development in artificial intelligence, machine learning, and deep learning. You will be responsible for conceptualizing, designing, and implementing novel AI algorithms and models, conducting rigorous experimentation, and publishing findings in leading academic journals and conferences. The ideal candidate possesses a strong theoretical foundation in AI and a proven track record of practical application and innovation.
Key responsibilities include exploring new AI paradigms, developing sophisticated machine learning models, and contributing to the advancement of our AI platforms. You will collaborate with a world-class team of researchers and engineers, leveraging cutting-edge computational resources. This role requires exceptional problem-solving skills, a passion for continuous learning, and the ability to work independently and productively in a remote setting. You will play a crucial role in shaping the future of AI and its applications across various domains. Strong programming skills in Python and experience with AI frameworks such as TensorFlow or PyTorch are essential.
Qualifications:
Our client is at the forefront of AI innovation and is seeking an exceptional AI Research Scientist to join our dynamic and globally distributed team. This fully remote role is an opportunity to contribute to groundbreaking research and development in artificial intelligence, machine learning, and deep learning. You will be responsible for conceptualizing, designing, and implementing novel AI algorithms and models, conducting rigorous experimentation, and publishing findings in leading academic journals and conferences. The ideal candidate possesses a strong theoretical foundation in AI and a proven track record of practical application and innovation.
Key responsibilities include exploring new AI paradigms, developing sophisticated machine learning models, and contributing to the advancement of our AI platforms. You will collaborate with a world-class team of researchers and engineers, leveraging cutting-edge computational resources. This role requires exceptional problem-solving skills, a passion for continuous learning, and the ability to work independently and productively in a remote setting. You will play a crucial role in shaping the future of AI and its applications across various domains. Strong programming skills in Python and experience with AI frameworks such as TensorFlow or PyTorch are essential.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 5 years of post-doctoral research experience in AI or Machine Learning.
- Extensive experience in developing and implementing deep learning models and algorithms.
- Proficiency in programming languages such as Python, and AI frameworks like TensorFlow, PyTorch, or Keras.
- Strong understanding of theoretical AI concepts, including neural networks, reinforcement learning, and natural language processing.
- Proven track record of research publications in top-tier AI conferences and journals.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and collaboratively in a remote, international team environment.
- Strong communication and presentation skills.
Apply Now
4
AI Research Scientist
20004 Washington, District Of Columbia
$130000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client, a leader in AI and Emerging Technologies, is looking for an innovative AI Research Scientist to join our cutting-edge research lab. This fully remote position offers the opportunity to work on groundbreaking AI projects that will shape the future of technology. We are seeking individuals with a passion for artificial intelligence, machine learning, and deep learning, who are eager to push the boundaries of what's possible. Your responsibilities will include designing, developing, and implementing novel AI algorithms, conducting research into new AI methodologies, and contributing to high-impact publications and patents. You will collaborate with a world-class team of researchers and engineers, leveraging state-of-the-art tools and datasets. The ideal candidate will have a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a strong publication record. Proven experience in areas such as natural language processing, computer vision, reinforcement learning, or generative models is essential. Proficiency in programming languages like Python and experience with AI frameworks such as TensorFlow or PyTorch are required. You should be adept at analyzing complex data, identifying patterns, and translating research findings into practical applications. This role requires strong critical thinking, creativity, and the ability to work independently in a remote setting. If you are driven by innovation and want to contribute to the next wave of AI advancements, we encourage you to apply. Join our remote-first culture and help us build intelligent systems that solve real-world problems.
Apply Now
5
Agronomy Research Scientist
20001 Washington, District Of Columbia
$85000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client is a leader in agricultural innovation, seeking a dedicated Agronomy Research Scientist to join their team in Washington, D.C., US . This is an on-site position where you will conduct vital research to improve crop yields, sustainability, and resilience. You will be at the forefront of developing new agricultural practices and technologies, contributing to the global food supply chain. The role involves extensive fieldwork, laboratory analysis, and data interpretation to advance our understanding of plant science and soil health.
Responsibilities:
Responsibilities:
- Design, implement, and manage field and greenhouse experiments for crop variety testing, nutrient management, and pest/disease control.
- Collect, analyze, and interpret agronomic data using statistical software and modeling techniques.
- Develop and refine best practices for crop production, including planting, irrigation, fertilization, and harvesting.
- Conduct research on soil health, plant physiology, and crop-soil interactions.
- Evaluate the performance of new crop varieties and agricultural technologies under various environmental conditions.
- Prepare detailed research reports, scientific publications, and presentations for conferences and stakeholders.
- Collaborate with internal teams, external research institutions, and agricultural producers to share findings and implement research outcomes.
- Ensure adherence to safety protocols and ethical research standards.
- Manage research budgets, project timelines, and field trial logistics.
- Contribute to the development of grant proposals and secure funding for new research initiatives.
- Ph.D. in Agronomy, Crop Science, Soil Science, or a related agricultural discipline.
- Minimum of 5 years of experience in agricultural research and development.
- Proven track record of designing and conducting field trials.
- Strong knowledge of statistical analysis and experimental design (e.g., ANOVA, regression analysis).
- Proficiency with agronomic software and data management tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication abilities.
- Ability to work independently and effectively in a team environment.
- Physical ability to perform fieldwork in various weather conditions.
- Passion for sustainable agriculture and improving food production systems.
Apply Now
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6
AI Research Scientist
20001 Washington, District Of Columbia
$185000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client, a cutting-edge research institution dedicated to advancing the frontiers of Artificial Intelligence and emerging technologies, is seeking an exceptional AI Research Scientist to join their innovative team, remotely or based in **Washington, D.C., US**. This highly intellectual role will focus on conducting groundbreaking research, developing novel AI algorithms, and exploring the application of machine learning and deep learning models to solve complex real-world problems. The AI Research Scientist will be instrumental in designing and implementing research methodologies, analyzing large datasets, and publishing findings in leading scientific journals and conferences. You will collaborate with a diverse group of scientists, engineers, and domain experts to drive technological advancements. A Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field is required. A strong publication record in top-tier AI conferences and journals is highly desirable. Proven experience in developing and implementing advanced machine learning and deep learning models, including expertise in frameworks such as TensorFlow, PyTorch, or scikit-learn, is essential. Excellent programming skills in Python or other relevant languages, coupled with a deep understanding of statistical modeling and data analysis, are paramount. The ability to think creatively, solve challenging problems, and communicate complex research concepts effectively to both technical and non-technical audiences is critical. This is an unparalleled opportunity to contribute to transformative AI research, work with world-class researchers, and shape the future of artificial intelligence. If you are a passionate and visionary AI researcher, we invite you to explore this impactful role.
Apply Now
7
Pharmaceutical Research Scientist
20001 Washington, District Of Columbia
$95000 Annually
WhatJobs
Posted 9 days ago
Job Viewed
Job Description
Our client, a cutting-edge pharmaceutical company, is seeking an innovative and experienced Pharmaceutical Research Scientist to contribute to groundbreaking drug discovery and development programs in Washington, D.C., US . This role offers the chance to work on novel therapeutic targets and advance promising drug candidates from the lab to clinical trials. You will be responsible for designing and conducting experiments, analyzing complex biological data, troubleshooting experimental issues, and documenting findings meticulously. Key duties include developing and validating assays, performing in vitro and in vivo studies, culturing cells, maintaining cell lines, and preparing scientific reports and presentations. The ideal candidate holds a Ph.D. or Master's degree in Pharmacology, Molecular Biology, Biochemistry, or a related life science discipline, with a proven track record in pharmaceutical research. Experience with specific therapeutic areas such as oncology, immunology, or neuroscience is a significant plus. Proficiency in molecular biology techniques, mammalian cell culture, and data analysis software is required. Strong understanding of drug development processes and regulatory guidelines is also beneficial. Excellent analytical, problem-solving, and critical thinking skills are paramount. You should possess superb written and verbal communication skills and the ability to collaborate effectively within a multidisciplinary team. This is a hybrid position, combining essential laboratory work at our facility in Washington, D.C., US with remote data analysis and reporting. Join a leading organization committed to improving global health through scientific excellence.
Apply Now
8
Assistant Research Scientist (PREP0003710) - #Faculty
20898 Gaithersburg, Maryland
Johns Hopkins University
Posted 4 days ago
Job Viewed
Job Description
PREP Research Associate
This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
Research title:
Measuring energy-related needs of AI systems
The work will entail:
Surveying existing or possible measurement methods for AI systems' needs for energy and related resources, and identifying directions for future work.
Key responsibilities will include but are not limited to:
§ Desk research to understand and organize the literature on the energy-related needs of AI systems.
§ Planning and drafting a landscape survey laying out methodological options in measuring energy needs and usage.
§ Consulting with experts in the field to inform the report.
§ Soliciting and incorporating community input on drafts of the report.
§ Supporting NIST in considering what follow-ups, such as developing new measurement methodologies or proposing standardization activities, might be appropriate.
§ Broad awareness with computer architecture and data center operations.
§ Familiarity with typical computational processes involved in modern machine learning systems (e.g., matrix multiplications).
§ Hands-on experience measuring energy usage of AI systems, OR detailed knowledge of academic and/or industry research and reporting on AI systems' energy usage, ideally including needs for related resources such as water.
§ Strong oral and written communication skills, including both envisioning structure and content for nascent documents and line editing mature documents for technical precision and readability.
Salary: $60,000-$120,000 a year
Please upload the following with your application:
- CV/Resume
*Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume.
- Self portraits
- Phone number
- Home address/Country
- Citizenship status
- Languages spoken
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Privacy Act Statement
Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) ( which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
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
This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
Research title:
Measuring energy-related needs of AI systems
The work will entail:
Surveying existing or possible measurement methods for AI systems' needs for energy and related resources, and identifying directions for future work.
Key responsibilities will include but are not limited to:
§ Desk research to understand and organize the literature on the energy-related needs of AI systems.
§ Planning and drafting a landscape survey laying out methodological options in measuring energy needs and usage.
§ Consulting with experts in the field to inform the report.
§ Soliciting and incorporating community input on drafts of the report.
§ Supporting NIST in considering what follow-ups, such as developing new measurement methodologies or proposing standardization activities, might be appropriate.
§ Broad awareness with computer architecture and data center operations.
§ Familiarity with typical computational processes involved in modern machine learning systems (e.g., matrix multiplications).
§ Hands-on experience measuring energy usage of AI systems, OR detailed knowledge of academic and/or industry research and reporting on AI systems' energy usage, ideally including needs for related resources such as water.
§ Strong oral and written communication skills, including both envisioning structure and content for nascent documents and line editing mature documents for technical precision and readability.
Salary: $60,000-$120,000 a year
Please upload the following with your application:
- CV/Resume
*Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume.
- Self portraits
- Phone number
- Home address/Country
- Citizenship status
- Languages spoken
- Sex/Gender
Privacy Act Statement
Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) ( which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
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
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