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Remote Data Science R Jobs in New Mexico (NOW HIRING)

... emerging data discussions, clinical trial activities, uncovering barriers in patient journey ... Graduate degree in science or healthcare required; doctoral degree preferred (MD, PhD, DNP, PharmD ...

... emerging data discussions, clinical trial activities, uncovering barriers in patient journey ... Graduate degree in science or healthcare required; doctoral degree preferred (MD, PhD, DNP, PharmD ...

... emerging data discussions, clinical trial activities, uncovering barriers in patient journey ... Graduate degree in science or healthcare required; doctoral degree preferred (MD, PhD, DNP, PharmD ...

... emerging data discussions, clinical trial activities, uncovering barriers in patient journey ... Graduate degree in science or healthcare required; doctoral degree preferred (MD, PhD, DNP, PharmD ...

... on argenx's scientific data, products and trials, and is responsible for engagement with Key ... Ability for 50% travel #LI-Remote For applicants in the United States: The annual base salary ...

... emerging data discussions, clinical trial activities, uncovering barriers in patient journey ... Graduate degree in science or healthcare required; doctoral degree preferred (MD, PhD, DNP, PharmD ...

... emerging data discussions, clinical trial activities, uncovering barriers in patient journey ... Graduate degree in science or healthcare required; doctoral degree preferred (MD, PhD, DNP, PharmD ...

... data,productsand trials, andis responsible forengagement with Key Opinion Leaders at academic and ... Ability for 50% travel #LI-Remote For applicants in the United States: The annual base salary ...

Summary #LI-Remote The Medical Science Liaison (MSL) role is a field based, customer-facing, non ... emerging data discussions, clinical trial activities, uncovering barriers in patient journey ...

Band Level 5 Summary #LI-Remote The Medical Science Liaison (MSL) role is a field based, customer ... emerging data discussions, clinical trial activities, uncovering barriers in patient journey ...

Showing results 21-40

Remote Data Science R information

What is a remote data science R?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

How do remote data science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.

What are the key skills and qualifications needed to thrive as a remote data science R, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

What is the difference between Remote Data Science R vs Remote Data Analyst?

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What are popular job titles related to Remote Data Science R jobs in New Mexico?

For Remote Data Science R jobs in New Mexico, the most frequently searched job titles are:

What job categories do people searching Remote Data Science R jobs in New Mexico look for?

The top searched job categories for Remote Data Science R jobs in New Mexico are:

What cities in New Mexico are hiring for Remote Data Science R jobs?

Cities in New Mexico with the most Remote Data Science R job openings:

Senior/Principal Computer Scientist, Space, Satellites and Remote Sensing Systems, Onsite

Sandia

Albuquerque, NM • On-site, Remote

$117K - $235K/yr

Full-time

Medical, Retirement, PTO

Posted 18 days ago


Job description

About Sandia
Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:
  • Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
  • Extraordinary co-workers
  • Some of the best tools, equipment, and research facilities in the world
  • Career advancement and enrichment opportunities
  • Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
  • Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*

World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov
*These benefits vary by job classification.
What Your Job Will Be Like
We are seeking computer scientists to design and develop software and algorithms for high throughput, high volume data processing missions. Our team delivers creative solutions for sophisticated real-time decision support systems. Join our hard-working, multi-disciplinary team and start building the future today!
On any given day, you may be called on to:
  • Be part of software teams that deliver solutions for remote sensing systems, including the capture, processing, exploitation, visualization, and distribution of real-time space-based sensor data
  • Propose and lead image processing and data-centric research and development projects with a focus on computer vision algorithms for the detection, tracking, and classification of observational targets
  • Architect, develop, and optimize high performance software for real-time, distributed systems that include compute environments with CPUs, GPUs, and/or FPGAs
  • Engage with diverse specialists in areas such as data fusion, signal and image processing, analytics, cloud computing, machine learning, modeling and simulation, service architectures, data management and visualization

Due to the nature of this position onsite work is required.
Salary Range
$117,500 - $235,700
*Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential.
Qualifications We Require
Qualification we Require
  • Bachelor's degree with a minimum of five (5) years of relevant experience.
  • Ability to obtain and maintain a DOE Q and SCI clearance

Qualifications We Desire
The ideal R&D Computer Science candidate for Sandia National Laboratories will in addition possess the following:
  • Graduate degree in Computer Science or a highly related field plus one (1) year of relevant experience
  • Active DOE Q or DOD TS security clearance with the ability to obtain and maintain an SCI.
  • Proficiency in modern software development using C++ and/or Python in Linux-based environments, including experience with version control, debugging, testing, and performance-aware development practices.
  • Experience designing, training, evaluating, and deploying AI/ML-enabled computer vision solutions, including image processing, segmentation, object detection, classification, feature extraction, and related applications using neural networks, deep learning, or transformer-based architectures.
  • Familiarity with advanced data exploitation, sensor/data fusion, signal or image analytics, algorithm optimization, edge processing, or high-performance computing techniques across CPU, GPU, FPGA, or heterogeneous computing environments.
  • Experience developing, containerizing, and deploying high performance and scalable applications in cloud-native or hybrid computing environments, including exposure to technologies such as AWS, Kubernetes, Docker, OpenShift, CI/CD pipelines, or distributed computing frameworks.
  • Demonstrated ability to translate mission or customer needs into effective technical solutions through strong problem-solving, collaboration, and communication skills.
  • Ability to work effectively in multidisciplinary and diverse teams, with a commitment to continuous learning, technical excellence, and expanding expertise in emerging AI, software, and computing technologies.

About Our Team
The Real Time Data Processing Department develops software, algorithms, and distributed computer systems for real-time extraction of events in a remote sensing domain. Skills within the department include software engineering; signal and image processing; statistical inference; neural networks; data fusion; image registration; pattern recognition; radiometric calibration; compressive sensing; human-computer interfaces; data visualization; and design, implementation, deployment, operational user support, and maintenance of collaborative large complex software systems.
Posting Duration
This posting will be open for application submissions for a minimum of three (3) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.
Security Clearance
Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance and SCI access, both of which require US citizenship. SCI access may also require a polygraph examination. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain these levels of access may be impacted.
Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by the DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.
EEO
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.
NNSA Requirements for MedPEDs
If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.
If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.