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Implementation Science Research Jobs in New York

Senior Research Engineer

Manhattan, NY · On-site

$174 - $252/hr

Applied research from proof-of-concept to implementation; Scientific publication submission; Development with Tensorflow, JAX, or PyTorch machine learning frameworks; Machine learning theory ...

New

Senior Research Scientist

Manhattan, NY · On-site

$108K - $137K/yr

Develop and implement novel computational and statistical methods * Analyze large-scale genetic and ... and research associates * Contribute to grant proposal preparation and scientific writing

Senior Research Scientist

New York, NY · On-site

$107K - $137K/yr

Develop and implement novel computational and statistical methods * Analyze large-scale genetic and ... and research associates * Contribute to grant proposal preparation and scientific writing

Senior Research Scientist

Manhattan, NY

$108K - $137K/yr

Employ, evaluate and assist with the implementation of innovative solutions to maximize study ... Prior research scientist or post-doctoral experience. Prior experience writing and preparing grant ...

Senior Research Scientist

Manhattan, NY

$108K - $137K/yr

Employ, evaluate and assist with the implementation of innovative solutions to maximize study ... Prior research scientist or post-doctoral experience. Prior experience writing and preparing grant ...

Senior Research Scientist

New York, NY · On-site

$107K - $137K/yr

Employ, evaluate and assist with the implementation of innovative solutions to maximize study ... Prior research scientist or post-doctoral experience. Prior experience writing and preparing grant ...

Assess the requirements for data science research from Applied Physics and the Advanced Propulsion ... implementing software and performing analyses to address these needs. * Develop and integrate ...

Assess the requirements for data science research from Applied Physics and the Advanced Propulsion ... implementing software and performing analyses to address these needs. * Develop and integrate ...

Assess the requirements for data science research from Applied Physics and the Advanced Propulsion ... implementing software and performing analyses to address these needs. * Develop and integrate ...

Research Positions

New York, NY · On-site

$48K - $62K/yr

Our projects span implementation-focused and method-focused directions, as well as multidisciplinary collaborations across domains. Research Scientists at NYU typically hold PhDs and are involved in ...

Showing results 21-40

Implementation Science Research information

What is the difference between Implementation Science Research vs Implementation Specialist?

AspectImplementation Science ResearchImplementation Specialist
CredentialsTypically requires a master's or doctoral degree in public health, healthcare, or related fieldsOften requires a bachelor's or master's degree in health sciences, public health, or related areas
Work EnvironmentResearch settings, academic institutions, healthcare organizationsHealthcare facilities, community organizations, clinics
Primary FocusStudying methods to promote the integration of research findings into practiceApplying strategies to implement evidence-based practices in real-world settings

Implementation Science Research focuses on studying and developing methods to facilitate the adoption of research findings into practice, often within academic or research settings. In contrast, Implementation Specialists are hands-on professionals who apply these strategies directly within healthcare or community settings to ensure effective implementation of evidence-based practices.

What are popular job titles related to Implementation Science Research jobs in New York?

For Implementation Science Research jobs in New York, the most frequently searched job titles are:

What cities in New York are hiring for Implementation Science Research jobs?

Cities in New York with the most Implementation Science Research job openings:

Senior Research Engineer

Socket.dev

Manhattan, NY • On-site

$174 - $252/hr

Other

Posted 3 days ago

New


Job description

MINIMUM QUALIFICATIONS
  • Bachelor’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field and 2 years of experience in the job offered or in a Research Engineer-related occupation.
  • Position requires 2 years of experience in the following: Applied research from proof-of-concept to implementation; Scientific publication submission; Development with Tensorflow, JAX, or PyTorch machine learning frameworks; Machine learning theory application; and Leading a research agenda.
ABOUT THE JOB

Are you an experienced Research Engineer looking for your next role?

The US base salary range for this full-time position is $174,000 - $252,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].

Position reports to the Google New York, NY office & may allow for a hybrid schedule per Google policy.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

RESPONSIBILITIES
  • Apply research ideas to high-impact problems by prototyping, curating datasets, and deploying optimized machine learning systems.
  • Architect and implement scalable software libraries and high-quality code in Python or C++ to translate complex research into practical applications.
  • Drive high-stake, long-term research projects from ideation to completion by scoping project needs, managing resources, and solving ambiguous problems.
  • Train, evaluate, and iterate on deep neural models and reinforcement learning algorithms to continually improve agent performance and achieve research objectives. Influence engineering best practices by championing code reviews, mentoring team members, and facilitating clear communication between research and engineering.
  • Communicate research developments, experimental results, and project status clearly to internal teams and the broader external community.
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