Top 2290 Computer Scientist Developer Jobs

AI/ML Scientist/Developer
Axle —Frederick, MD
- $115,000 - $130,000 a year
- Computer Science
- Doctor of Philosophy
- Software development
- Paid holidays
- Health insurance
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Oura —Remote
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Data Scientist, GTM
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Analytic Services Inc —Washington, DC
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Data Scientist/Developer for Big Data/Machine Learning R&D
D-Tech —Herndon, VA
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Data Scientist II
Axle —Rockville, MD
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- Computer Science
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10d
Principal Computer Scientist
Analytic Services Inc —Washington, DC
- $195,000 - $235,000 a year
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Sajix Software Solution Private Limited —Pleasanton, CA
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Data Scientist/Software Developer
Petrabytes Corporation —Houston, TX
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Arete Associates —Falls Church, VA
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- Full-time
- Bachelor of Science
- Pass drug screening
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Physical Scientist and Warn-on-Forecast System Developer
Lynker Corporation —College Park, MD
- $78,000 - $135,000 a year
- Full-time
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- Computer Science
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Lead Data Scientist, Platform Product
Anthropic —New York, NY
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Sr. Research Scientist, Computer Vision
United Imaging Healthcare —Cambridge, MA
- Computer Science
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Data Scientist - AI Trainer
DataAnnotation —Clintonville, WI
- $50 - $100 an hour
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- Remote
- Writing skills
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Data Scientist - AI Trainer
DataAnnotation —Redlands, CA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
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GIS Developer (2014)
OSMOSE UTILITIES SERVICES INC —Atlanta, GA
- From $90,000 a year
- Full-time
- Background check
- Computer Science
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Data Scientist - AI Trainer
DataAnnotation —Brooks, CA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
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Data Scientist - AI Trainer
DataAnnotation —Temple Terrace, FL
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
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AI/ML Scientist/Developer

Axle -
Frederick, MD

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Job Details

$115,000 - $130,000 a year

Benefits

Paid holidays
Health insurance
Dental insurance
Flexible spending account
Paid time off
401(k) 5% Match
Vision insurance
401(k) matching
Referral program

Qualifications

AI models
Research design
Laboratory experiment design
Design of experiments
AI platforms (beyond public GPTs)
Computational framework
Machine intelligence
Software development
Machine learning libraries
Machine learning frameworks

Full Job Description

(ID: 2025-0402)

Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).

Axle is seeking a AI/ML Scientist/Developer to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center in Frederick, MD. The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid research through the development of validated, reproducible, and well-characterized organoid models. The center brings together interdisciplinary teams of researchers to establish standardized protocols, develop quality control measures, and create resources that will benefit the broader organoid research community.

Benefits We Offer:

100% Medical, Dental & Vision Coverage for Employees
Paid Time Off and Paid Holidays
401K match up to 5%
Educational Benefits for Career Growth
Employee Referral Bonus
Flexible Spending Accounts:
- Healthcare (FSA)
- Parking Reimbursement Account (PRK)
- Dependent Care Assistant Program (DCAP)
- Transportation Reimbursement Account (TRN)

Overview

The AI/ML Scientist/Developer will develop innovative computational models to predict and optimize organoid growth and differentiation protocols. This position represents a unique opportunity to apply cutting-edge machine learning techniques to advance organoid standardization and contribute to the development of predictive models for tissue engineering applications.

Responsibilities

The successful candidate will design and implement machine learning models that predict organoid development outcomes based on protocol parameters, environmental conditions, and molecular characterization data.
They will develop in silico models that can simulate organoid growth dynamics and identify optimal conditions for reproducible organoid generation.
The role involves creating feedback loops between experimental validation and computational prediction to iteratively improve protocol standardization.
Collaboration with experimental teams to design validation experiments and with data scientists to integrate multi-modal datasets will be essential components of this position.

Required Qualifications

Candidates must possess a Master's degree or PhD in computer science, engineering, applied mathematics, or a related field with demonstrated experience in AI/ML model development.
Strong programming skills in Python, R, or similar languages are required, along with experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Previous experience applying computational methods in biological laboratory settings is necessary, with knowledge of experimental design principles and biological data types.

Preferred Qualifications

Experience with organoid systems or tissue engineering applications is highly desirable.
Knowledge of differential equations, systems biology modeling, and experience with deep learning approaches for biological applications will be considered strong assets.
Familiarity with cloud computing platforms and containerization technologies is preferred.

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

The diversity of Axle's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact: [email protected]

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location.

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