1

Physics Based Machine Learning Jobs in Rhode Island

Research Assistant

Providence, RI · On-site

$41K - $68K/mo

... based brain tumor research within the Department of Neurosurgery by conducting statistical programming, multi-omics and epigenetic data analysis, computational analysis and machine learning of human ...

Partner with data science and analytics teams to enable graph-based feature engineering and machine learning integration Preferred Technical Expertise * Deep expertise in Neo4j platform capabilities ...

Partner with data science and analytics teams to enable graph-based feature engineering and machine learning integration Preferred Technical Expertise * Deep expertise in Neo4j platform capabilities ...

next page

Showing results 1-20

Physics Based Machine Learning information

What types of projects or problems does a Physics Based Machine Learning professional typically work on?

Physics Based Machine Learning professionals often work on projects that involve applying machine learning techniques to physical systems, such as improving simulations in engineering, optimizing energy systems, or accelerating scientific research through data-driven modeling. Daily tasks might include developing algorithms that incorporate physical laws, analyzing simulation data, and collaborating with experts from engineering, data science, or research teams. The role can involve both theoretical and hands-on work, often requiring iterative testing and validation. This environment provides opportunities to tackle cutting-edge challenges, contribute to innovation, and potentially lead to career paths in research, product development, or advanced analytics.

What is a Physics Based Machine Learning job?

A Physics Based Machine Learning job involves developing machine learning models that incorporate physical laws and domain knowledge to improve predictions and interpretability. Professionals in this field work at the intersection of physics, data science, and artificial intelligence to create models that are more robust, generalizable, and efficient, especially in scientific and engineering applications. Responsibilities often include data analysis, algorithm development, numerical simulations, and integrating physics-based constraints into ML models. These roles are common in industries like climate science, robotics, materials science, and computational physics.

What are the key skills and qualifications needed to thrive in the Physics Based Machine Learning position, and why are they important?

To thrive in Physics Based Machine Learning, you need advanced knowledge of physics, strong programming skills (Python, MATLAB, or C++), and a deep understanding of machine learning and statistical modeling, typically supported by a master's or PhD in physics, engineering, or a related field. Familiarity with simulation software, scientific computing libraries (such as TensorFlow, PyTorch, NumPy), and version control systems is essential. Strong problem-solving ability, effective communication, and cross-disciplinary collaboration skills set outstanding candidates apart. These competencies are crucial for designing robust, real-world models that integrate physical principles with data-driven techniques to solve complex problems.

What are popular job titles related to Physics Based Machine Learning jobs in Rhode Island? For Physics Based Machine Learning jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Physics Based Machine Learning jobs in Rhode Island look for? The top searched job categories for Physics Based Machine Learning jobs in Rhode Island are:
What cities in Rhode Island are hiring for Physics Based Machine Learning jobs? Cities in Rhode Island with the most Physics Based Machine Learning job openings:
Research Assistant

Research Assistant

Brown University Health

Providence, RI • On-site

$41K - $68K/mo

Full-time

Re-posted 8 days ago


Brown University Health rating

6.8

Company rating: 6.8 out of 10

Based on 70 frontline employees who took The Breakroom Quiz

495th of 886 rated healthcare providers


Job description

SUMMARY:
The Research Assistant supports laboratory-based brain tumor research within the Department of Neurosurgery by conducting statistical programming, multi-omics and epigenetic data analysis, computational analysis and machine learning of human and patient-derived cells, tissues, images and analyzing their responses to drug and radiation treatments. The role includes performing statistical analysis, transcriptomic analysis, stochastic or mechanistic simulation modeling, computational imaging analysis, machine learning, and prepare figures, technical reports, and manuscripts for publication and presentation. This position exists to advance ongoing funded research by analyzing experimental and clinical data and supporting the laboratory’s scientific and scholarly activities.


Brown University Health employees are expected to successfully role model the organization's values of Compassion, Accountability, Respect, and Excellence as these values guide our everyday actions with patients, customers and one another.
In addition to our values, all employees are expected to demonstrate the core Success Factors which tell us how we work together and how we get things done. The core Success Factors include:
Instill Trust and Value Differences
Patient and Community Focus and Collaborate
RESPONSIBILITIES:


Conduct laboratory research activities involving human and patient-derived cell cultures to support ongoing neuroscience and brain tumor studies.


Perform experimental procedures using microscopic imaging, proliferation, and migration assays to generate data for biomedical research projects.


Prepare biological samples and execute molecular analyses, including immunostaining, western blotting, and RNA sequencing workflows.


Apply statistical, computational and bioinformatic methods to analyze experimental and clinical datasets related to cell growth, treatment response, and gene expression.


Perform bulk and single-cell RNA-seq and analysis.


Perform spatial transcriptomic analysis.


Develop and apply stochastic and mechanistic modeling.


Develop and apply machine learning tools to analysis genomic and MRI datasets. Assist in the design and implementation of computational and experimental protocols to support laboratory research objectives and funded study aims.


Maintain laboratory materials, biomaterials, and substrates to ensure readiness for experimental use and research continuity.


Participate in departmental and academic research activities to contribute to collaborative scientific initiatives within Neurosurgery and affiliated programs.


Performs other duties as assigned.


MINIMUM QUALIFICATIONS:
BASIC KNOWLEDGE:


Minimum qualifications include a Bachelor’s degree in Biology, Biophysics, Biomedical Engineering, Bioinformatics, Statistics, Computer Science, or a related field. A Master’s degree or equivalent advanced training in a relevant discipline may also be considered. No specific licensure, registration, or professional certification is required for this position.


EXPERIENCE:


Candidates should have at least two years of relevant laboratory research experience in a biomedical, biological sciences, or related research environment, which may include academic laboratory training obtained during undergraduate or graduate study. Experience should include hands-on work with cell culture techniques, basic molecular or imaging assays, statistical and bioinformatic analysis, machine learning or computational modeling. Applicants must demonstrate the ability to follow and execute experimental and computational protocols, maintain accurate research documentation, and communicate effectively in English, both orally and in writing. Basic computational, statistical, or programming skills, along with the ability to work collaboratively in a research team environment, are required.

Pay Range:

$41,537.60-$68,556.80

EEO Statement:

Brown University Health is committed to providing equal employment opportunities and maintaining a work environment free from all forms of unlawful discrimination and harassment.


Location:

Rhode Island Hospital - 593 Eddy Street Providence, Rhode Island 02903

Work Type:

8-5

Work Shift:

Day

Daily Hours: 

8 hours

Driving Required:

No

What Brown University Health employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom