What You Will Do This position is for a Graduate Research Assistant (GRA) in the Space Remote Sensing and Data Science Group (ISR-6) at Los Alamos National Laboratory. You will work closely with
What You Will Do This position is for a Graduate Research Assistant (GRA) in the Space Remote Sensing and Data Science Group (ISR-6) at Los Alamos National Laboratory. You will work closely with
Description Job Title Postdoctoral Researcher - Space Remote Sensing and Data Science Location Los Alamos, NM, US Organization Name ISR-6/Space Remote Sensing and Data Science Minimum Salary Maximum
Description Job Title Postdoctoral Researcher - Space Remote Sensing and Data Science Location Los Alamos, NM, US Organization Name ISR-6/Space Remote Sensing and Data Science Minimum Salary Maximum
What You Will Do This position is for a postdoctoral researcher in the Space Remote Sensing and Data Science Group (ISR-6) at Los Alamos National Laboratory. You will work closely with
What You Will Do This position is for a postdoctoral researcher in the Space Remote Sensing and Data Science Group (ISR-6) at Los Alamos National Laboratory. You will work closely with
Graduate Student Intern - Space Remote Sensing and Data Science
Los Alamos, NM · On-site +1
$13.75 - $18.25/hr
Description Job Title Graduate Student Intern - Space Remote Sensing and Data Science Location Los Alamos, NM, US Organization Name ISR-6 / Space Remote Sensing and Data Science Minimum Salary
Graduate Student Intern - Space Remote Sensing and Data Science
Los Alamos, NM · On-site +1
$13.75 - $18.25/hr
Description Job Title Graduate Student Intern - Space Remote Sensing and Data Science Location Los Alamos, NM, US Organization Name ISR-6 / Space Remote Sensing and Data Science Minimum Salary
Data Scientist
Albuquerque, NM · On-site +1
$99K - $225K/yr
Remote Work: Hybrid Job Number: R0247943 Location: Albuquerque,NM,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets
Data Scientist
Albuquerque, NM · On-site +1
$99K - $225K/yr
Remote Work: Hybrid Job Number: R0247943 Location: Albuquerque,NM,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets
Post-Bachelor's Research Assistant - Space Remote Sensing and Data Science
Los Alamos, NM · On-site +1
Description Job Title Post-Bachelor's Research Assistant - Space Remote Sensing and Data Science Location Los Alamos, NM, US Organization Name ISR-6 /Space Remote Sensing and Data Science Minimum
Post-Bachelor's Research Assistant - Space Remote Sensing and Data Science
Los Alamos, NM · On-site +1
Description Job Title Post-Bachelor's Research Assistant - Space Remote Sensing and Data Science Location Los Alamos, NM, US Organization Name ISR-6 /Space Remote Sensing and Data Science Minimum
Space Remote Sensing and Data Science Deputy Group Leader (R&D Manager 3)
Los Alamos, NM · On-site +1
$105K/yr
Description Job Title Space Remote Sensing and Data Science Deputy Group Leader (R&D Manager 3) Location Los Alamos, NM, US Organization Name ISR-6/Space Remote Sensing and Data Science Minimum
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Los Alamos, NM · On-site +1
$105K/yr
Description Job Title Space Remote Sensing and Data Science Deputy Group Leader (R&D Manager 3) Location Los Alamos, NM, US Organization Name ISR-6/Space Remote Sensing and Data Science Minimum
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Cardinal Health Sonexus Access and Patient Support helps specialty pharmaceutical manufacturers remove barriers to care so that patients can access, afford and remain on the therapy that is life
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Remote Work: No Job Number: R0237241 Location: Albuquerque,NM,US Share job via: Share Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and artificial intelligence
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Remote Optum Data Science information
What is the difference between Remote Optum Data Science vs Remote Optum Data Analyst?
| Aspect | Remote Optum Data Science | Remote Optum Data Analyst |
|---|---|---|
| Required Credentials | Typically requires a master's or PhD in Data Science, Statistics, or related fields | Bachelor's degree in Data Analysis, Statistics, or related fields often sufficient |
| Work Environment | Focus on advanced modeling, machine learning, and predictive analytics | Data cleaning, reporting, and basic analysis tasks |
| Employer & Industry Usage | Used in healthcare analytics, predictive modeling, and research within Optum | Used for reporting, data management, and supporting decision-making processes |
Remote Optum Data Science roles involve developing complex models and algorithms, requiring advanced degrees and technical expertise. In contrast, Remote Optum Data Analyst positions focus on data reporting and basic analysis, often requiring a bachelor's degree. Both roles support healthcare analytics but differ in scope and technical depth.
What are popular job titles related to Remote Optum Data Science jobs in New Mexico?
For Remote Optum Data Science jobs in New Mexico, the most frequently searched job titles are:
What job categories do people searching Remote Optum Data Science jobs in New Mexico look for?
The top searched job categories for Remote Optum Data Science jobs in New Mexico are:
What cities in New Mexico are hiring for Remote Optum Data Science jobs?
Cities in New Mexico with the most Remote Optum Data Science job openings:
Graduate Student Intern - Space Remote Sensing and Data Science
Los Alamos, NM • On-site, Remote
Full-time, Internship
Medical, Dental, Vision, Life, Retirement, PTO
Posted 10 days ago
Los Alamos National Laboratory rating
9.2
Based on 33 frontline employees who took The Breakroom Quiz
Job description
This position is for a Graduate Research Assistant (GRA) in the Space Remote Sensing and Data Science Group (ISR-6) at Los Alamos National Laboratory. You will work closely with interdisciplinary teams on projects related to remote sensing, data science, image and signal processing, machine learning, and sensor data analysis. Responsibilities will be tailored to your background and interests, with opportunities to contribute to innovative research and development.
As a Graduate Research Assistant, you will be involved in advancing methods and technologies for collecting, processing, analyzing, and interpreting data from space, airborne, ground-based, and laboratory remote-sensing systems. Candidates should have broad technical skills and an interest in applying computational and analytical techniques to scientific challenges.
In this role, you may contribute to one or more of the following areas:
- Developing and applying algorithms to process and analyze sensor data (including images, spectra, time series, or other types)
- Using statistical, mathematical, or computational methods to address detection and characterization problems
- Modeling sources, sensors, and measurement uncertainties
- Analyzing and interpreting experimental or field-collected data
- Contributing to the design or calibration of sensing systems and instruments
- Communicating research findings through reports, presentations, publications, and teamwork
Duration of this position is at least one year, with the intent to support continued multi-year work.
What You Need
Minimum Job Requirements:
Knowledge/Abilities:
- General experience in scientific computing, data analysis, or algorithm development
- Ability to work collaboratively with diverse teams and communicate research results effectively
- Demonstrated strong analytical problem-solving abilities to overcome technical challenges in remote sensing and data science challenges
Education/Experience:
- Must be enrolled (6 semester credit hours or full-time equivalent) in an accredited, degree-granting graduate level program (or international equivalent)
- Must currently have and maintain a cumulative GPA of at least 3.2 on a 4.0 scale (or equivalent).
Desired Qualifications:
- Working familiarity with one or more areas such as image/signal processing, machine learning, statistical analysis, sensor systems, or scientific software
- Experience with programming languages or scientific computing tools
- Experience with experimental or field research, instrumentation, or data collection
Work Environment
Work Location: The work location for this position has the potential for remote work. Remote work is defined as working offsite that is greater than 2 hours of the Laboratory location. Reporting onsite may be periodically necessary. All work locations are at the discretion of management.
Work Schedule:
Remote/Telework: This position is a remote position. Interns working fully remotely may only work a 5/40 schedule. Interns may not work remotely from Hawaii, Minnesota, Santa Moncia, CA or San Francisco, CA. See Current Restrictions for more information.
Note to Applicants:
Required Application Materials:
- Current resume
- Current official transcripts
- Personal statement of interest (not to exceed one page)
Where You Will Work
Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:
- PPO or High Deductible medical insurance with the same large nationwide network
- Dental and vision insurance
- Free basic life and disability insurance
- Paid childbirth and parental leave
- Award-winning 401(k) (6% matching plus 3.5% annually)
- Learning opportunities and tuition assistance
- Flexible schedules and time off (PTO and holidays)
- Onsite gyms and wellness programs
- Extensive relocation packages (outside a 50 mile radius)
Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
Clearance: Q (Position will be cleared to this level). Selected applicants will be subject to a background investigation conducted by or on behalf of the Federal Government, and must meet eligibility requirements* for access to classified matter. This position requires a Q clearance, and obtaining such clearance requires US Citizenship except in extremely rare circumstances. Dependent upon the position, additional authorization to access classified information may be required, which may or may not be available to dual citizens. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad.
*Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.
426.2A: This position is subject to DOE Order 426.2A, Personnel Selection, Training, and Qualification Requirements for DOE Nuclear Facilities, which establishes entry-level requirements to ensure candidates selected for specific positions can successfully perform the requirements of the job.
New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 for applicant eligibility requirements.
Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947.
Instructions on How to Activate/ Create a LANL Jobs Account:
Follow the instructions below if you have ever had an employee Z number, been a contractor, or received Los Alamos Lab insurance coverage to activate your account:
- Select the Click Here button if you have been employed with the Lab or received insurance coverage.
- Please enter only your first and last name and current email address (an email with your validation code will be sent to you) to activate the account currently in our system.
- Enter your validation code as described in the email you receive and complete the 3-page registration form. Your account is now active, and you can apply for jobs or save to your basket. Important: Enter the validation code within 15 days to activate your account or your account will be deactivated.
- Select the Register button if you have never been employed with the Lab or received insurance coverage to Create an Account.
- From here, you will establish an account with username and password.
- Click the Vacancy Name number (in blue) to view any job's details.
- Click Apply or Add to Basket to apply later. Tip: To apply for a job or save your basket, you must have a LANL jobs account.
What Los Alamos National Laboratory employees say
Pay
Benefits
Hours and flexibility
Workplace
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About Los Alamos National Laboratory
Sourced by ZipRecruiter
Industry
Scientific research and development services
Company size
5,001 - 10,000 Employees
Headquarters location
Los Alamos, NM, US
Year founded
1943