14,066 Research Positions jobs in the United States

Our client is a prestigious research institution dedicated to advancing scientific knowledge, seeking a highly motivated and experienced Senior Scientific Research Scientist specializing in Genomics to join their innovative team in Chicago, Illinois, US . This role is crucial for designing and conducting cutting-edge research projects focused on understanding the genetic basis of complex diseases and biological processes. The ideal candidate will have a strong publication record, deep expertise in various genomic technologies, and the ability to lead research initiatives, mentor junior scientists, and secure grant funding. Key Responsibilities:

• Design, execute, and interpret complex genomic research experiments, including DNA sequencing, RNA sequencing, and epigenomic profiling.
• Develop and optimize novel genomic assays and analytical methodologies.
• Analyze and interpret large-scale genomic datasets, utilizing bioinformatics tools and statistical approaches.
• Collaborate with interdisciplinary teams of biologists, clinicians, and bioinformaticians to advance research goals.
• Write and submit high-impact research manuscripts for publication in peer-reviewed journals.
• Present research findings at national and international scientific conferences.
• Seek and secure external funding through grant applications from government agencies and foundations.
• Mentor and supervise postdoctoral fellows, graduate students, and research assistants.
• Manage laboratory resources, including equipment, supplies, and budgets.
• Ensure compliance with laboratory safety regulations and ethical research conduct.
• Stay abreast of the latest advancements in genomics, molecular biology, and related fields.

Qualifications:

• Ph.D. in Genetics, Molecular Biology, Genomics, or a related life science discipline.
• Minimum of 7 years of post-doctoral research experience with a focus on genomics.
• Extensive hands-on experience with a wide range of genomic technologies (e.g., NGS, microarrays, qPCR, single-cell genomics).
• Demonstrated expertise in analyzing and interpreting complex genomic data using bioinformatics tools and statistical software.
• A strong publication record in reputable scientific journals.
• Proven ability to lead independent research projects and secure competitive grant funding.
• Excellent leadership, communication, and interpersonal skills.
• Experience mentoring junior researchers and managing laboratory operations.
• Familiarity with regulatory requirements for human subject research is a plus.
• Proficiency in common bioinformatics software and programming languages (e.g., R, Python, Bash) is highly desirable.

This position offers an exciting opportunity to contribute to significant scientific discoveries within a collaborative and well-equipped research environment. We offer a competitive salary, excellent benefits, and a commitment to professional growth.

Our client is a world-renowned research institution seeking a highly accomplished Senior Scientific Research Scientist specializing in Genomics to join their dynamic team. This fully remote position offers a unique opportunity to contribute to cutting-edge research that pushes the boundaries of scientific understanding. You will be responsible for designing, executing, and analyzing complex genomic research projects, focusing on areas such as human genetics, gene regulation, and functional genomics. The ideal candidate possesses a deep expertise in modern sequencing technologies, bioinformatics, and statistical genetics, coupled with a strong publication record.

You will lead independent research projects, secure funding through grant applications, and collaborate with a multidisciplinary team of scientists, bioinformaticians, and clinicians. Responsibilities include developing novel experimental methodologies, performing sophisticated data analysis, and interpreting results to draw significant conclusions. This role requires excellent scientific rigor, critical thinking, and the ability to communicate complex findings effectively through publications and presentations. You will stay abreast of the latest advancements in genomics and related fields, contributing to the intellectual leadership of the research group. This is an exceptional opportunity to make a significant impact on genomic discovery and its application to human health, working remotely from Atlanta, Georgia, US .

Key Responsibilities:

• Lead independent research projects in genomics and related fields.
• Design and execute experiments utilizing cutting-edge sequencing and molecular biology techniques.
• Perform advanced bioinformatics and statistical analysis of genomic data.
• Develop and validate new genomic assays and analysis pipelines.
• Interpret research findings and their implications for human health and disease.
• Secure research funding through competitive grant applications.
• Publish research results in high-impact peer-reviewed journals.
• Present research findings at national and international conferences.
• Collaborate with internal and external research partners.
• Mentor junior researchers and post-doctoral fellows.

Qualifications: Ph.D. in Genetics, Molecular Biology, Bioinformatics, or a related life science discipline. Minimum of 6 years of post-doctoral or independent research experience in genomics. Extensive experience with next-generation sequencing (NGS) technologies and platforms. Strong proficiency in bioinformatics tools, programming languages (e.g., R, Python), and statistical genetics methods. Demonstrated track record of publications in leading scientific journals. Experience in grant writing and securing funding is highly desirable. Excellent analytical, problem-solving, and communication skills. Ability to work independently and collaboratively in a remote research environment.

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.

Research Scientist, Google Research
_corporate_fare_ Google _place_ New York, NY, USA
**Mid**
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
**Minimum qualifications:**
+ PhD degree in Computer Science, a related field, or equivalent practical experience.
+ One or more scientific publication submission(s) for conferences, journals, or public repositories.
+ Coding experience in Python, JavaScript, R, Java, or C++.
**Preferred qualifications:**
+ 2 years of coding experience in Python, JavaScript, R, Java, or C++.
+ 1 year of experience owning and initiating research agendas.
**About the job**
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google ( .
**Responsibilities**
+ Author research papers to share and generate impact of research results across the team and in the research community.
+ Help in growing research business across teams by sharing research trends and practices within the community.
+ Define the data structure, framework, design, and evaluation metrics for research solution development and implementation under minimal guidance. Identify timelines and obtain resources needed.
+ Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research with some guidance.
+ Contribute to conducting experiments based on the research question. Develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under minimal guidance.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

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, a leading research institution in the biotechnology sector, is seeking an accomplished Director of Scientific Research to spearhead innovative projects. This on-site position is based in our state-of-the-art facilities in Chicago, Illinois, US . You will be responsible for setting the strategic scientific direction of the organization, overseeing all research and development activities, and ensuring the successful translation of scientific discoveries into groundbreaking products and therapies. This leadership role involves managing a diverse team of scientists and researchers, fostering a collaborative and intellectually stimulating environment, and securing research funding. Key responsibilities include developing and executing research plans, managing budgets, ensuring compliance with regulatory standards, and publishing scientific findings in high-impact journals. The ideal candidate will possess a Ph.D. in a relevant scientific discipline (e.g., Molecular Biology, Biochemistry, Genetics) with a minimum of 10 years of progressive experience in scientific research and development, including significant leadership and management experience. A strong publication record, a proven track record of successfully leading research teams, and extensive experience in grant writing and proposal development are essential. Experience in drug discovery, therapeutic development, or advanced diagnostics is highly preferred. Excellent communication, presentation, and interpersonal skills are required to effectively engage with internal teams, external collaborators, and scientific advisory boards. You must be able to articulate complex scientific concepts clearly and inspire scientific excellence across the organization. This is a critical leadership position that offers the opportunity to shape the future of biotechnology and make a profound impact on human health.

Senior Research Scientist, Google Research
_corporate_fare_ Google _place_ Mountain View, CA, USA
**Mid**
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
**Minimum qualifications:**
+ PhD degree in Computer Science, a related field, or equivalent practical experience.
+ 2 years of experience leading a research agenda.
+ One or more scientific publication submission(s) for conferences, journals, or public repositories.
**Preferred qualifications:**
+ 2 years of coding experience.
+ 1 year of experience leading research efforts and influencing other researchers.
**About the job**
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google ( .
**Responsibilities**
+ Author research papers to share and generate impact of research results across function and in the research community.
+ Help in growing research business by sharing research trends and best practices within the community.
+ Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
+ Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research.
+ Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

Staff Research Scientist, Google Research
_corporate_fare_ Google _place_ New York, NY, USA
**Advanced**
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
**Minimum qualifications:**
+ PhD degree in Computer Science, a related field, or equivalent practical experience.
+ 4 years of experience with research agendas across multiple teams or projects.
+ One or more scientific publication submission(s) for conferences, journals, or public repositories.
**Preferred qualifications:**
+ 2 years of experience in coding and leading multiple research efforts and influencing research direction.
**About the job**
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google ( .
**Responsibilities**
+ Author research papers to share and generate impact of research results across organization and in the research community.
+ Assist in research growth by sharing research trends and best practices within the community by reviewing academic papers, and serving on program committees and grant panels.
+ Deliver on large portions of a project by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
+ Identify new and upcoming research areas by interacting with potential external and internal collaborators. Develop long-term research strategy and plans to expand the impact of Google research.
+ Identify complex but defined problems/gaps in existing technology and engage stakeholders and leaders to address them.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: