60 Physics Research jobs in the United States

**Description**
The Department of Physics at Carnegie Mellon University is seeking a Visiting Research Scientist for a full-time, fixed-term, 5-week appointment within the Condensed Matter research group under the supervision of Professor Michael Widom.
This temporary position is scheduled to begin on August 15, 2025, and conclude on September 20, 2025. The research project is to conduct research on the structure and thermodynamics of complex matter, including quasicrystals, glasses, and other materials.
**Qualifications**
Applicants must hold a Ph.D. in Physics or equivalent and must be an expert in the structure and thermodynamics of quasicrystals, glass, and other complex atomistic structures.
**Application Instructions**
Interested candidates should submit a CV through Interfolio. The evaluation of candidates will begin immediately and continue until the available position is filled.
**Equal Employment Opportunity Statement**
**Carnegie Mellon University** is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.

Our client, a prestigious academic institution located in the heart of **New York City, New York, US**, is seeking a highly motivated and brilliant Postdoctoral Research Fellow to join their esteemed Theoretical Physics department. This is a unique opportunity to conduct groundbreaking research at the forefront of fundamental physics, contributing to our understanding of the universe. The successful candidate will work under the guidance of leading researchers, collaborate with international teams, and present findings at major conferences. This role requires a deep theoretical grounding, exceptional analytical skills, and a passion for scientific discovery. While the primary work is on-site, opportunities for presenting work at remote conferences may arise.

Responsibilities:

• Conduct original research in theoretical physics, focusing on areas such as quantum field theory, string theory, cosmology, or condensed matter physics.
• Develop and refine theoretical models, perform complex mathematical derivations, and conduct rigorous analysis.
• Collaborate with faculty members, fellow postdoctoral researchers, and graduate students on research projects.
• Write high-impact research papers for publication in peer-reviewed journals.
• Present research findings at national and international conferences and workshops.
• Assist in the supervision and mentorship of graduate and undergraduate students involved in research.
• Contribute to the vibrant intellectual life of the department through seminars and discussions.
• Explore new research avenues and propose innovative theoretical frameworks.
• Maintain detailed records of research activities and progress.
• Engage with the broader scientific community and foster collaborative relationships.

Qualifications:

• Ph.D. in Theoretical Physics or a closely related field from a reputable university.
• A strong publication record in high-quality theoretical physics journals.
• Demonstrated expertise in one or more subfields of theoretical physics (e.g., particle physics, cosmology, quantum gravity, condensed matter theory).
• Exceptional analytical, mathematical, and computational skills.
• Proven ability to conduct independent research and formulate novel theoretical ideas.
• Excellent written and oral communication skills, with the ability to explain complex concepts clearly.
• Experience presenting research at scientific conferences.
• A collaborative spirit and the ability to work effectively in a team.
• Passion for pushing the boundaries of fundamental physics knowledge.
• Resilience and dedication to completing challenging research projects.

This non-remote position offers a competitive salary, comprehensive benefits, and the unparalleled opportunity to advance the field of theoretical physics in **New York City, New York, US**.

Research Associate - Theoretical (Particle Physics)
Job ID
6515
Location
SLAC - Menlo Park, CA
Full-Time
Temporary
**SLAC Job Postings**
**Position Overview:**
SLAC National Accelerator Laboratory¿s Fundamental Physics Division (FPD) aims to understand the fundamental structure of all the constituents of the universe and their interactions with one another through a combination of experimental and theoretical research. Working at the forefront of modern particle physics, our scientists use powerful particle accelerators to create and study nature¿s fundamental building blocks and forces, build sensitive detectors to search for new particles and develop theories that explain and guide experiments.
We are seeking a Research Associate with a strong background in theoretical particle physics or possibly the interface of particle physics and astro-particle physics.
**Your specific responsibilities include:**
+ Conduct research in theoretical particle physics.
+ Participate in and contribute to general group research activities
+ Represent your research results at seminars, scientific conferences and workshops.
**Note** : The Research Associate role is a fixed term position. This is a 3-year fixed-term appointment. Applicants must provide evidence of either a recently completed PhD degree or confirmation of completion of the PhD degree requirements in theoretical physics prior to starting the position. Applicants should also include a cover letter, a statement of research area including brief summary of accomplishments, a curriculum vitae, a list of publications, and names of at least three references from whom letters of recommendation will form part of the application.
**To be successful in this position you will bring:**
+ PhD in Theoretical Particle Physics, or closely related field with demonstrated coursework and research experience in the area of Theoretical Particle Physics.
+ Demonstrated research experience as evidenced by a publication record.
+ A solid foundation and research background in Theoretical Particle Physics.
+ Ability to carry out independent research.
+ Strong analytical and computational skills.
Candidates will provide evidence of either a recently completed PhD degree in the area of Theoretical Particle Physics, or confirmation of completion of the PhD degree requirements prior to starting the position.
**SLAC Employee competencies** :
+ **Effective Decisions** : Uses job knowledge and solid judgment to make quality decisions in a timely manner.
+ **Self-Development** : Pursues a variety of venues and opportunities to continue learning and developing.
+ **Dependability** : Can be counted on to deliver results with a sense of personal responsibility for expected outcomes.
+ **Initiative** : Pursues work and interactions proactively with optimism, positive energy, and motivation to move things forward.
+ **Adaptability** : Flexes as needed when change occurs, maintains an open outlook while adjusting and accommodating changes.
+ **Communication** : Ensures effective information flow to various audiences and creates and delivers clear, appropriate written, spoken, presented messages.
+ **Relationships** : Builds relationships to foster trust, team collaboration, and a positive climate to achieve common goals.
**Physical requirements and working conditions** :
+ Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
+ Given the nature of this position, SLAC is open to on-site and hybrid work options.
**Work standards** :
+ Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
+ Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for environment, safety and security; communicates related concerns; uses and promotes safe behaviors based on training and lessons learned. Meets the applicable roles and responsibilities as described in the ESH Manual, Chapter 1¿General Policy and Responsibilities: Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, Title: Research Associate ¿Theoretical
Job Grade: G
Duration: Fixed-Term
Job code: 0126
_The expected pay range for this position is $70,000 to $100,000 per annum. SLAC National Accelerator Laboratory/Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs._
SLAC National Accelerator Laboratory is an Affirmative Action / Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All staff at SLAC National Accelerator Laboratory must be able to demonstrate the legal right to work in the United States. SLAC is an E-Verify employer.

Our client is a cutting-edge research and development firm dedicated to pushing the boundaries of scientific discovery. We are seeking a highly experienced and innovative Principal Data Scientist to lead complex analytical projects and drive data-driven insights within our scientific research division. This is a hybrid role, offering a blend of in-office collaboration and remote flexibility. The ideal candidate will possess exceptional skills in statistical modeling, machine learning, and have a deep understanding of scientific methodologies.

Responsibilities:

• Lead the design, development, and implementation of advanced statistical models and machine learning algorithms to analyze large, complex datasets from scientific experiments.
• Extract, clean, and transform data from diverse sources, ensuring data integrity and accuracy for analysis.
• Develop predictive models and analytical solutions to address challenging scientific questions and accelerate research breakthroughs.
• Collaborate closely with research scientists, engineers, and domain experts to understand their data needs and translate them into analytical frameworks.
• Communicate complex findings and insights clearly and effectively to both technical and non-technical stakeholders through reports, presentations, and visualizations.
• Mentor junior data scientists and contribute to the growth and development of the data science team.
• Stay current with the latest advancements in data science, machine learning, and relevant scientific fields, and evaluate their applicability to our research initiatives.
• Design and conduct A/B tests and other experimental designs to validate hypotheses and measure the impact of interventions.
• Develop and maintain data pipelines and workflows to ensure efficient data processing and analysis.
• Contribute to the strategic vision for data utilization and analytics within the organization.

Qualifications:

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Physics, Biology, or a related quantitative field.
• 10+ years of professional experience in data science, with a significant focus on scientific research or R&D environments.
• Expertise in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
• Deep understanding of statistical modeling, machine learning techniques (e.g., regression, classification, clustering, deep learning), and experimental design.
• Experience with big data technologies (e.g., Spark, Hadoop) and database management (SQL, NoSQL).
• Excellent data visualization skills and experience with tools like Tableau, Power BI, or Matplotlib.
• Strong ability to translate complex scientific problems into solvable data science challenges.
• Exceptional communication and interpersonal skills, with the ability to influence and collaborate effectively across teams.
• Experience in a hybrid work environment and the ability to manage time effectively.

This position is located in Charlotte, North Carolina, US , requiring occasional presence in the office for collaborative sessions.

Our client is seeking a highly skilled and experienced Lead Data Scientist to join their fully remote team dedicated to Scientific Research & Development. This is a unique opportunity to leverage advanced analytical techniques and machine learning to drive groundbreaking discoveries and solve complex scientific challenges. You will lead a team of data scientists, guiding the development and application of sophisticated models and algorithms to large, complex datasets. Your responsibilities will include defining research questions, designing analytical approaches, implementing statistical models, and interpreting results to provide actionable insights. The ideal candidate will possess a deep understanding of statistical modeling, machine learning, data mining, and programming languages commonly used in data science (e.g., Python, R). A strong background in a scientific domain (e.g., physics, biology, chemistry, astrophysics) is highly preferred. Excellent leadership, communication, and collaboration skills are essential for success in this role. You will be expected to mentor junior scientists, present findings to stakeholders, and contribute to the overall scientific strategy.

Responsibilities:

• Lead the design and execution of data science projects supporting scientific research initiatives.
• Develop and implement advanced statistical and machine learning models.
• Analyze large, complex scientific datasets to extract meaningful insights.
• Mentor and guide a team of data scientists and researchers.
• Collaborate with scientists and domain experts to define research objectives and analytical approaches.
• Identify and explore new data sources and analytical methodologies.
• Communicate complex findings clearly and effectively to both technical and non-technical audiences.
• Develop data visualizations and reports to illustrate key trends and results.
• Stay current with the latest advancements in data science, machine learning, and relevant scientific fields.
• Contribute to the development of scientific publications and presentations.

Qualifications:

• Ph.D. or Master's degree in a quantitative field such as Computer Science, Statistics, Physics, Mathematics, or a related scientific discipline.
• Minimum of 7 years of experience in data science, with a significant portion focused on scientific research.
• Proven experience leading data science teams and projects.
• Expertise in machine learning algorithms, statistical modeling, and data mining techniques.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience working with large datasets and distributed computing frameworks (e.g., Spark).
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication, presentation, and interpersonal skills.
• Ability to work independently and collaboratively in a remote environment.
• Demonstrated experience in a scientific domain (e.g., bioinformatics, computational chemistry, experimental physics).

This is a fantastic opportunity for a seasoned data scientist to drive innovation in scientific discovery within a dynamic and flexible remote setting. If you are passionate about using data to unlock scientific potential, we invite you to apply.

Our client is a renowned research institution seeking an accomplished Senior Scientific Research Scientist specializing in Bioinformatics to join their innovative and fully remote team. This pivotal role will drive cutting-edge research by applying advanced computational and statistical methods to complex biological datasets. The ideal candidate will possess a strong theoretical foundation in bioinformatics, genetics, or a related field, combined with extensive experience in analyzing large-scale genomic, proteomic, or metabolomic data. Responsibilities include designing and executing complex bioinformatics analyses, developing novel computational tools and pipelines, interpreting experimental results, and collaborating closely with experimental biologists and clinicians to advance scientific discovery. You will be instrumental in extracting meaningful insights from high-throughput data, identifying biomarkers, and contributing to the development of new diagnostic or therapeutic strategies. The successful candidate will have a proven track record of independent research, publication in peer-reviewed journals, and excellent programming skills (e.g., Python, R, Perl). Experience with cloud computing platforms and big data technologies is highly desirable. This position requires a proactive, detail-oriented, and highly motivated individual who can work autonomously and contribute to a collaborative scientific environment. Our client is committed to accelerating scientific breakthroughs and fostering a culture of innovation. This is an exceptional opportunity for a seasoned bioinformatics scientist to lead impactful research from a remote setting. Key Responsibilities:

• Design and perform advanced bioinformatics analyses on large-scale biological datasets (genomic, transcriptomic, proteomic, etc.).
• Develop, implement, and validate novel computational algorithms and pipelines.
• Interpret complex data to identify patterns, biomarkers, and scientific insights.
• Collaborate with experimental biologists, clinicians, and other researchers to design studies and analyze results.
• Contribute to grant proposals and manuscript preparation for publication in peer-reviewed journals.
• Stay abreast of the latest advancements in bioinformatics, computational biology, and related fields.
• Develop and maintain robust code and documentation for bioinformatics tools and analyses.
• Present research findings at scientific meetings and conferences.
• Mentor junior scientists and research staff in bioinformatics techniques.

Qualifications:

• Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Minimum of 7 years of post-doctoral or industry experience in bioinformatics research.
• Demonstrated expertise in analyzing large-scale biological datasets, including next-generation sequencing data.
• Proficiency in programming languages such as Python, R, or Perl, and experience with bioinformatics libraries.
• Strong understanding of statistical methods and machine learning techniques applicable to biological data.
• Experience with bioinformatics databases, tools, and reference genomes.
• Familiarity with cloud computing environments (e.g., AWS, Google Cloud) and big data technologies is a plus.
• Excellent problem-solving, analytical, and communication skills.
• Proven ability to conduct independent research and work effectively in a remote team.

Our client, a cutting-edge research institution at the forefront of Scientific Research & Development, is actively seeking a highly skilled Senior Computational Biologist to join their innovative and collaborative remote team. This position is ideal for a seasoned researcher passionate about leveraging large-scale biological data to drive discovery and advance our understanding of complex biological systems. The role will involve significant contributions to groundbreaking projects using advanced computational and statistical methodologies.

The Senior Computational Biologist will be responsible for designing and executing computational analyses of diverse biological datasets, including genomics, transcriptomics, proteomics, and epigenomics. You will develop and implement bioinformatics pipelines, build predictive models, and contribute to the interpretation of experimental results. Key responsibilities include collaborating closely with experimental biologists and other researchers, identifying novel biological insights, visualizing complex data, and communicating findings through presentations and publications in high-impact journals. You will also mentor junior scientists, stay abreast of the latest advancements in computational biology and bioinformatics tools, and contribute to the strategic direction of research initiatives.

The ideal candidate will possess a Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field, with a minimum of 7 years of post-doctoral or industry research experience. A strong track record of peer-reviewed publications in reputable journals is required. Expertise in programming languages such as Python or R, experience with high-performance computing environments, and proficiency in various bioinformatics databases and tools are essential. Experience with machine learning techniques applied to biological data is highly desirable. Exceptional analytical, problem-solving, and communication skills are paramount for success in this research-focused, remote role. If you are a passionate and innovative scientist eager to make significant contributions to biological discovery through computational approaches, we encourage you to apply.

Responsibilities:

• Perform advanced computational analyses of large-scale biological data.
• Develop and implement bioinformatics pipelines and algorithms.
• Identify and interpret novel biological insights from multi-omics data.
• Collaborate with experimental researchers on project design and data analysis.
• Build predictive models and statistical frameworks.
• Visualize complex biological datasets effectively.
• Communicate research findings through presentations and publications.
• Mentor junior computational biologists and bioinformaticians.
• Stay current with advancements in computational biology and bioinformatics.
• Contribute to the development of research strategies and proposals.

Our client is a prestigious research institution at the forefront of scientific discovery, committed to advancing human health through cutting-edge research and development. We are seeking a highly motivated and accomplished Lead Scientific Research Scientist specializing in Molecular Biology to join our dynamic team in New York City, New York . This hybrid role offers an exciting opportunity to lead groundbreaking research initiatives, balancing essential in-lab work with the flexibility of remote collaboration.

As the Lead Scientific Research Scientist, you will spearhead innovative research projects focused on understanding complex molecular mechanisms underlying disease. You will design and execute experiments, analyze data, and interpret results to drive scientific understanding and identify potential therapeutic targets. This leadership position involves guiding a team of researchers, managing laboratory operations, securing funding through grant writing, and publishing findings in high-impact scientific journals. The ideal candidate possesses a profound knowledge of molecular biology techniques, a strong publication record, and proven leadership capabilities.

Key Responsibilities:

• Design, implement, and manage complex research projects in molecular biology, focusing on disease mechanisms and therapeutic development.
• Lead and mentor a team of research associates and post-doctoral fellows, fostering a collaborative and productive research environment.
• Develop and optimize novel molecular biology assays and experimental protocols.
• Perform rigorous data analysis, interpretation, and presentation of research findings.
• Author and co-author scientific publications for peer-reviewed journals and present research at national and international conferences.
• Contribute to the writing and submission of grant proposals to secure research funding.
• Manage laboratory resources, including equipment, consumables, and budgets.
• Collaborate with internal and external stakeholders, including clinical teams and industry partners.
• Ensure compliance with all laboratory safety regulations and ethical guidelines.
• Stay abreast of the latest advancements and emerging technologies in molecular biology and related fields.

Required Qualifications:

• Ph.D. in Molecular Biology, Genetics, Biochemistry, or a related life sciences discipline.
• A minimum of 7 years of postdoctoral and/or research experience, with a strong emphasis on independent research and project leadership.
• Demonstrated track record of significant scientific contributions, evidenced by a strong publication record in reputable journals.
• Extensive hands-on experience with a wide range of molecular biology techniques (e.g., PCR, qPCR, Western blotting, CRISPR, next-generation sequencing, cell culture).
• Proven experience in experimental design, data analysis (including statistical methods), and interpretation.
• Excellent leadership, communication, and interpersonal skills, with the ability to mentor and inspire a research team.
• Experience in grant writing and securing research funding is highly desirable.
• Proficiency in scientific software and databases.

This is a remarkable opportunity to make significant contributions to the field of molecular biology and drive impactful research within a world-renowned scientific community.

Behavioral Health Service Line / Senior Research Scientist

Rebecca D. Considine Research Institute (RDCRI), Akron Children's

Position Summary:

The Rebecca D. Considine Research Institute (RDCRI) seeks a highly experienced and motivated clinical researcher to serve as Vice Chair of Research for the Psychological Services & Behavioral Health Service Line (Service Line) and as a Senior Research Scientist. This dual-role position integrates leadership, research, education, and administrative responsibilities to advance the mission of RDCRI and Akron Children's.

The successful candidate will lead independent and collaborative research initiatives, oversee scientific resources, mentor junior scientists and trainees, and contribute to the strategic development of behavioral health research and education programs. Key Responsibilities

Research Leadership

Develop, maintain, and lead an independent, funded research program.

Serve as Principal Investigator (PI) or Co-PI on multisite and institutional projects.

Lead interdisciplinary and multidisciplinary research teams.

Design and oversee scientific studies, including protocol development, data management, and quality assurance.

Identify and pursue funding opportunities; prepare and submit grant proposals and manuscripts.

Disseminate research findings through publications and presentations.

Strategic and Administrative Oversight

Participate in academic strategic planning for the Service Line

Facilitate the academic professional development of clinical scientists within the Service Line as well as interdisciplinary research efforts

Strategic recruitment of additional scientists and mentors

Collaborate with internal academic partners and external institutions

Serve on leadership committees and the Academic Steering Committee for the Service Line.

Coordinate with finance and post-award teams on budgeting and expenditures.

Education and Mentorship

Develop and supervise educational programs for students, residents, fellows, and allied health professionals.

Mentor junior scientists, research assistants, and clinical faculty in research design, IRB submissions, and dissemination

Qualifications

Doctorate (PhD, MD/PhD, OD/PhD, OD, DMin).

Minimum 7 years of independent and collaborative research experience.

Proven track record of research funding and senior authorship in high impact journals.

Strong written and oral communication skills.

Demonstrated success in mentoring and academic leadership.

Work Environment

Office, home office, and community settings.

Standard hours: MondayFriday, 8:00 AM4:30 PM; occasional evenings/weekends.

Must be able to lift/move up to 50 pounds occasionally.

Akron Childrens