informatics scientist

University of New Mexico

<div><h2 class="jobSectionHeader"><b>Data Scientist 1</b></h2>
<div><div><div><div><b>Requisition ID</b></div> <div>req36579</div>
</div><br>
<div><div><b>Working Title</b></div> <div>Data Scientist 1</div>
</div><br>
<div><div><b>Position Grade</b></div> <div>14</div>
</div><br>
<div><div><b>Position Summary</b></div>
<div><p>
The Southwest Center for Advancing Clinical and Translational Innovation (SW CACTI, also known as CTSC) at the UNM Health Sciences Center (HSC) is seeking an experienced, strategic, and effective Data Scientist 1 to provide scientific programming, translational informatics, and research DevSecOps support in complex research computing environment. Under general supervision and in close collaboration with a multidisciplinary data analyst team, the qualified candidate will help design, deploy, administer, and continuously improve the computing platforms, servers, containers, workflows, and security processes that support AI/ML, clinical and translational informatics, CFDE/OMOP-linked data resources, GPU/HPC systems, Kubernetes/CyVerse environments, and multi-institutional research collaboration.<br>
<br>
Tasks include developing and maintaining databases and research software for advanced analytics; ensuring data integrity and secure storage; analyzing system performance; and designing and implementing complex data workflows and infrastructure-as-code deployments. Responsibilities also include clearly documenting workflows, testing them on simulated and real-world datasets, generating experimental results, and producing robust, distributable software packages using reproducible research practices, GitHub/GitHub Actions, Ansible, containerization, automated testing, and secure deployment practices where appropriate.</p><p>
The position also involves working with and delivering presentations to a range of interdepartmental stakeholders to provide support to faculty, researchers, students, and other computational staff on the development of research computing platforms, AI/ML services, secure data enclaves, system management tools, architectural assessments, training-as-code resources, and translational informatics workflows. The ideal candidate will be a self-motivated individual who enjoys a diverse range of projects, has proven technical skills, and keeps up with advances in computer science and technology.</p><p>
This position will help operationalize SW CACTI&rsquo;s Health Informatics aims by supporting cross-institutional infrastructure, secure data enclaves, AI/ML capabilities, CFDE/IDG/OMOP-enabled data integration, DevSecOps/MLOps practices, and reusable training and software resources for clinical and translational science.</p><p>
The SW CACTI is a member of the national Clinical Translational Science Award (CTSA) consortium, funded by the National Institutes of Health (NIH). SW CACTI aims to remove barriers to translational science, accelerate clinical translational innovation, and advance health outcomes in the United States Southwest region. SW CACTI is a partnership between the University of New Mexico (UNM) and the University of Arizona (UA).</p><p></p><p><b>
DUTIES AND RESPONSIBILITIES:</b></p><p></p><p>
1. Provides scientific programming, systems administration, and research DevSecOps support for an advanced clinical and translational research computing environments, including Linux servers, GPU/HPC resources, containers, Kubernetes/CyVerse platforms, infrastructure-as-code, and AI/ML research workflows.</p><p>
2. Provides support for monitoring system usage and health, ensuring operating systems are functioning at optimal performance and reliability levels, and working with institutional IT and security teams to support secure configuration, access control, vulnerability remediation, disaster recovery, and compliance for research systems.</p><p>
3. Develops, documents, manages, and maintains research IT and DevSecOps processes, including server configuration, GitHub/GitHub Actions workflows, Ansible automation, container deployment, security review, backup, disaster recovery, and reproducible scientific workflow execution.</p><p>
4. Works in collaboration with computational staff to manage hardware and software infrastructure to support a reliable, high-performance, and scalable computing environments for health informatics, secure data enclaves, AI/ML services, Common Fund Data Ecosystem (CFDE)/OMOP data integration, and multi-site clinical and translational research.</p><p>
5. Participates in the configuration and tuning of batch queuing systems in high-performance, parallel computing production environments; collects and analyzes system utilization statistics and logs; identifies computer system anomalies and operational problems; and provides systems support for web applications, SSO and LDAP, name resolution, and cloud storage services as needed to support secure research computing, Kubernetes/CyVerse deployments, API-based microservices, AI/ML inference services, and large-scale research data workflows.</p><p>
6. Engages in continuous professional development to remain at the cutting edge of research and best practices in health informatics, AI/ML, MLOps, DevSecOps, Linux systems administration, Kubernetes, CyVerse, CFDE resources, OMOP/OHDSI tools, secure data enclaves, and reproducible research method.</p><p>
7. Provides technical support to SW CACTI, University Hospital IT, and HSC IT team members and serves as a bridge between research teams and enterprise IT/security teams to translate scientific requirements into secure, scalable, maintainable computing solutions while maintaining institutional compliance.</p><p>
8. Tracks time and activities for ongoing projects to facilitate billing for services and to support project milestones, service metrics, dissemination, continuous quality improvement, and grant reporting.</p><p>
9. Performs other duties and responsibilities as assigned.</p><p></p><p>
Term Appointment; Funding available through 6/30/2027; Continuance beyond that date subject to availability of additional funding.</p><br>
<p></p>
<p>
See the Position Description for additional information.</p></div><br>
</div><br>
<div><div><b>Conditions of Employment</b></div>
<ul><li>Employees who provide services or work in patient care or clinical areas are required to be in compliance with the University's influenza vaccination requirement.</li></ul>
</div><br>
<div><div><b>Minimum Qualifications</b></div>
<div><p>
Bachelor's degree in a relevant field; at least 3 years of experience directly related to the duties and responsibilities specified.</p><p>
Completed degree(s) from an accredited institution that are above the minimum education requirement may be substituted for experience on a year for year basis.</p></div></div><br>
<div>
<div><b>Preferred Qualifications</b></div>
<div><ul><li>Strong engineering background such as an undergraduate degree in engineering, and commitment to professional development in computer science or computer engineering such as a higher degree or degrees.</li><li>
Experience in data analytics approaches, methods, and tools, including interactive notebooks, web UIs, and Docker containerization, with emphasis on reproducible scientific workflows and deployment of analytic tools for clinical, translational, biomedical, or AI/ML research.</li><li>
Experience supporting data-intensive computing environments, including development of data and AI operating strategies, systems administration support, Linux server deployment and management, secure configuration, and machine learning workflows.</li><li>
Experience deploying and supporting AI/ML services, including large language models (LLMs), GPU-accelerated workloads, scalable inference systems, API-based microservices, model evaluation workflows, and secure shared research platforms in research or production environments.</li><li>
Proficiency in Python and commonly used libraries for AL/ML, data science, and agentic workflows.</li><li>
Experience with team-based software engineering practices, including version control using Git/GitHub and collaborative development workflows, GitHub Actions, issue tracking, code review, manual and automated testing, CI/CD, and deployment automation.</li><li>
Demonstrated experience administering Linux-based systems and high-performance computing (HPC) environments, including support for GPU-enabled computing and scalable computational workloads, secure server configuration, monitoring, backup, and interaction with enterprise IT/security teams.</li><li>
Experience with containerized and cloud-native computing environments, including Kubernetes, Docker, infrastructure-as-code, secure enclave architectures, and platforms such as CyVerse.</li><li>
Knowledge of relational database design, data modeling, and query development in SQL.</li><li>
Experience building and maintaining data pipelines and scalable workflows for large-scale research or clinical datasets, including EHR-derived data, OMOP/OHDSI data, biomedical knowledge graphs, CFDE resources, or molecular/clinical data integration.</li><li>
Strong foundation in applied mathematics and statistics, including multivariable calculus, linear algebra, probability, and statistical methods.</li><li>
Knowledge of data privacy, security, and regulatory compliance, including HIPAA and human research protections.</li><li>
Demonstrated ability to automate system administration, research software deployment, and machine learning workflows using DevOps, DevSecOps, infrastructure-as-code, Ansible, GitHub Actions, CI/CD, and/or MLOps practices.</li><li>
Security certification and/or experience implementing cybersecurity controls and cybersecurity standards within an enterprise or research computing environment, especially experience interfacing with IT security teams on secure research computing, HIPAA-regulated data, human-subjects data, controlled-access data, or multi-institutional data-sharing environments.</li><li>
Excellent written and oral communication skills, including the ability to deliver training, provide technical support, and produce high-level technical summaries.</li></ul></div></div><br>
<p></p>
<div>
<div><b>Additional Requirements</b></div> <div>&bull; Due to budgetary constraints, we are unable to sponsor or take over sponsorship of an employment Visa. Applicants must be authorized to work in the United States on a full-time basis. &bull; This position is located in Albuquerque, New Mexico. If selected for this position, you must be willing relocate at your own expense (if not already residing in Albuquerque). &bull; If selected as a finalist, submission of a portfolio of up to three items representing a range of work products will be requested (e.g. code samples, links to live websites, formatted reports, GitHub, other repositories, etc.).
</div></div><br>
<div><div><b>Campus</b></div> <div>Health Sciences Center (HSC) - Albuquerque, NM</div>
</div><br>
<div><div><b>Department</b></div> <div>CTSC Administration Gen (672B)</div>
</div><br>
<div><div><b>Employment Type</b></div> <div>Staff</div>
</div><br>
<div><div><b>Staff Type</b></div> <div>Term - Full-Time</div>
</div><br>
<div><div><b>Term End Date</b></div> <div>06/30/2027</div>
</div><br>
<div><div><b>Status</b></div> <div>Exempt</div>
</div><br>
<div><div><b>Pay</b></div> <div>Monthly: $4,875.87 - $6,976.67</div>
</div><br>
<div><div><b>Benefits Eligible</b></div> <div>This is a benefits eligible position. The University of New Mexico provides a comprehensive package of benefits including medical, dental, vision, and life insurance. In addition, UNM offers educational benefits through the tuition remission and dependent education programs. See the Benefits home page for a more information.</div>
</div><br>
<div><div><b>ERB Statement</b></div> <div>As a condition of employment, eligible employees working greater than .25 FTE as determined by the New Mexico Education Retirement Act must make mandatory retirement contributions. For more information, review the Benefits Eligibility at a Glance grid.</div>
</div><br>
<div><div><b>Background Check Required</b></div> <div>Yes</div>
</div><br>
<div><div><b>For Best Consideration Date</b></div> <div>5/18/2026</div>
</div><br>
<div><div><b>Eligible for Remote Work</b></div>
</div><br>
<div></div><div><div><b>Eligible for Remote Work Statement</b></div>
</div><br>
<div></div><div><div><b>Application Instructions</b></div>
<div>
<p>Only applications submitted through the official UNMJobs site will be accepted. If you are viewing this job advertisement on a 3rd party site, please visit UNMJobs to submit an application.</p>
Incomplete applications will not be considered &ndash; Please read all application instructions carefully before submitting To receive full consideration, applicants must include: &bull; Completed application submitted through the official UNMJobs site &bull; Current resume &bull; Cover letter (specifically addressing your ability to meet the &ldquo;Additional Requirements&rdquo; and &ldquo;Preferred Qualifications&rdquo; listed above) &bull; Contact information for three (3) professional References (required at the time of application submission)<br>
</div></div><br>
<div><div><p><b>Positions posted with a Staff Type of </b><b><i>Regular</i></b><b> or </b><b><i>Term</i></b><b> are eligible for the Veteran Preference Program. See the </b><b>Veteran Preference Program webpage </b><b>for additional details.
</b></p><p>The University of New Mexico is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected class.</p>
<p>
The University of New Mexico requires all regular staff positions successfully pass a pre-employment background check. This may include, but is not limited to, a criminal history background check, New Mexico Department of Health fingerprint screening, New Mexico Children, Youth, and Families Department fingerprint screening, verification of education credentials, and/or verification of prior employment. For more information about background checks, visit https://policy.unm.edu/university-policies/3000/3280.html. Refer to https://policy.unm.edu/university-policies/3000/3200.html for a definition of Regular Staff.</p></div></div></div></div></div><div></div>

Data Scientist 1

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.<br>
<br>
Key job responsibilities<br>
As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services.<br>
<br>
A day in the life<br>
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Have publications at top-tier peer-reviewed conferences or journals</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, MA, Boston - 136,000.00 - 184,000.00 USD annually<br>
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually</div><p></p>

Applied Scientist, Artificial General Intelligence, AGI Data Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Artificial General Intelligence (AGI) Customization Team is seeking a highly skilled and experienced Applied Scientist to support adoption and enable customization of Amazon Nova. The role focuses on developing state-of-the-art services and tools for model customization, including supervised fine-tuning, reinforcement learning, and knowledge distillation across large language models.<br>
<br>
As an Applied Scientist, you will play a important role in developing advanced customization capabilities that enable enterprises to build highly performant application-specific models without the need for training models from scratch. Your work will directly impact how companies leverage Amazon Nova models for their specific use cases.<br>
<br>
Key job responsibilities<br>
<ul><li>Contribute to the development of novel customization techniques including extended post-training, continued pre-training, and advanced knowledge distillation
</li><li>Collaborate with cross-functional teams to design and implement enterprise-ready tooling for various training techniques on Amazon SageMaker</li><li>Design and execute experiments to optimize model accuracy, latency, and cost across different customization approaches (SFT, DPO, PPO)</li><li>Develop and enhance preference learning algorithms and training curricula for customer-specific applications</li><li>Create robust evaluation frameworks for assessing model performance across different domains and use cases</li><li>Contribute to the development of the Responsible AI toolkit, including creating training and evaluation datasets for model alignment</li><li>Design and implement secure access mechanisms for early model checkpoints and weights</li><li>Communicate technical insights and results to both technical and non-technical stakeholders through presentations and documentation</li></ul></div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li><li>1+ years of building machine learning models for business application experience</li><li>Master's degree, or PhD and 2+ years of applied research experience</li><li>Experience with any programming language such as Python, Java, C++</li><li>Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li><li>PhD in computer science, machine learning, engineering, or related fields, or Master's degree</li><li>PhD in computer science, computer engineering, or related field, or experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch</li><li>Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in software development and experience in managing and troublshooting network</li><li>Experience collaborating with cross-functional teams</li><li>Experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning</li><li>Experience with patents or publications at top-tier peer-reviewed conferences or journals</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, MA, Cambridge - 142,800.00 - 193,200.00 USD annually<br>
USA, WA, BELLEVUE - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, AGI Customization Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
At AWS Healthcare AI, we're revolutionizing healthcare delivery through AI solutions that serve millions globally. As a pioneer in healthcare technology, we're building next-generation services that combine Amazon's world-class AI infrastructure with deep healthcare expertise. Our mission is to accelerate our healthcare businesses by delivering intuitive and differentiated technology solutions that solve enduring business challenges. The AWS Healthcare AI organization includes services such as HealthScribe, Comprehend Medical, HealthLake, and more.<br>
<br>
We're seeking a Senior Applied Scientist to join our team working on our AI driven clinical solutions that are transforming how clinicians interact with patients and document care.<br>
<br>
Key job responsibilities<br>
To be successful in this mission, we are seeking an Applied Scientist to contribute to the research and development of new, highly influencial AI applications that re-imagine experiences for end-customers (e.g., consumers, patients), frontline workers (e.g., customer service agents, clinicians), and back-office staff (e.g., claims processing, medical coding). As a leading subject matter expert in NLU, deep learning, knowledge representation, foundation models, and reinforcement learning, you will collaborate with a team of scientists to invent novel, generative AI-powered experiences. This role involves defining research directions, developing new ML techniques, conducting rigorous experiments, and ensuring research translates to impactful products. You will be a hands-on technical innovator who is passionate about building scalable scientific solutions. You will set the standard for excellence, invent scalable, scientifically sound solutions across teams, define evaluation methods, and lead complex reviews. This role wields significant influence across AWS, Amazon, and the global research community.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Mountain View - 171,600.00 - 222,200.00 USD annually<br>
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist , AWS Healthcare-AI

Pixalate

<div>
 Applied AI Scientist
 <br/>
 <br/>
 <strong>
  Employment Type:
 </strong>
 Full-Time
 <br/>
 <br/>
 <strong>
  Location
 </strong>
 : Remote, Pakistan
 <br/>
 <br/>
 <strong>
  Level:
 </strong>
 Mid to Senior (PhD Required)
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We're looking for a quantitatively-strong data professional who can bridge rigorous statistical thinking with hands-on AI development. You'll work across Pixalate's full product suite &mdash; trust &amp; safety, ad fraud detection, brand safety, and more &mdash; using your background in statistics and ML to build intelligent agents and automated pipelines that keep our data accurate, our models honest, and our products reliable.
 <br/>
 <br/>
 This role is for someone who understands data deeply and can translate that into working AI systems that do the checking, flagging, and quality assurance at scale.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Analyze traffic, behavioral, and signals data to identify patterns, anomalies, and data quality issues
  </li>
  <li>
   Translate complex quantitative findings into clear, actionable recommendations for engineering, product, and cross-functional teams
  </li>
  <li>
   Design and maintain AI agents, dashboards and reporting pipelines to track data quality, trends, and product health over time
  </li>
  <li>
   Partner with engineering and product teams to ensure data quality and integrity across product pipelines
  </li>
  <li>
   Collaborate with AI/ML teams to close the feedback loop between QA findings and model improvements
  </li>
  <li>
   Support data needs across Pixalate's product portfolio &mdash; including supply-side intelligence, MFA detection, seller/app ratings, and compliance-related products
   <br/>
   <br/>
  </li>
 </ul>
 What We're Looking For
 <br/>
 <br/>
 Must-Have
 <br/>
 <br/>
 <ul>
  <li>
   PhD in Statistics, Mathematics, Data Science, Computer Science, or a related quantitative field
  </li>
  <li>
   3&ndash;6 years of experience in a data science, ML, or data analytics role
  </li>
  <li>
   Strong statistical foundation &mdash; you understand distributions, hypothesis testing, model evaluation, and where things go wrong
  </li>
  <li>
   Hands-on experience building with LLMs and AI agents, including prompt engineering, tool use, and designing agentic workflows using existing frameworks (e.g. LangChain, LlamaIndex, CrewAI, AutoGen, or similar)
  </li>
  <li>
   Proficiency in Python and SQL
  </li>
  <li>
   Ability to think critically about data quality and model outputs &mdash; you're naturally skeptical and rigorous
  </li>
  <li>
   Clear written and verbal communication skills
   <br/>
   <br/>
  </li>
 </ul>
 Nice-to-Have
 <br/>
 <br/>
 <ul>
  <li>
   Prior experience in cybersecurity, fraud detection, trust &amp; safety, or digital advertising ecosystems
  </li>
  <li>
   Exposure to multi-agent orchestration patterns
  </li>
  <li>
   Comfort working in fast-moving environments with evolving product requirements
   <br/>
   <br/>
  </li>
 </ul>
 We're particularly interested in candidates who can demonstrate both theoretical depth and practical implementation skills. Show us how your research can transform the landscape of online trust and safety.
 <br/>
 <br/>
 Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites. We're seeking a PhD-level AI Engineer to lead cutting-edge research in agentic AI systems, multimodal analysis, and advanced reasoning architectures that will directly impact millions of users worldwide.
 <br/>
 <br/>
 Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including:
 <br/>
 <br/>
 <ul>
  <li>
   Gizmodo: An iCloud Feature Is Enabling a $65 Million Scam, New Research Says
  </li>
  <li>
   Adweek: A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV
  </li>
  <li>
   Washington Post: Your kids&rsquo; apps are spying on them
  </li>
  <li>
   Pro Publica: Porn, Piracy, Fraud: What Lurks Inside Google&rsquo;s Black Box Ad Empire
  </li>
  <li>
   ABC7 News: The State of Children's Privacy Online
  </li>
  <li>
   NBC News: How many apps are tracking your children
   <br/>
   <br/>
  </li>
 </ul>
 Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC, London and Singapore.
 <br/>
 <br/>
 <em>
  Pixalate is an equal opportunity employer committed to building a diverse team. We particularly encourage applications from underrepresented groups in AI research.
 </em>
</div>


Applied AI Scientist (PhD Required)

Vantive

<div><p>Vantive is a vital organ therapy company on a mission to extend lives and expand possibilities for patients and care teams everywhere. For 70 years, our team has driven meaningful innovations in kidney care. As we build on our legacy, we are deepening our commitment to elevating the dialysis experience through digital solutions and advanced services, while looking beyond kidney care and investing in transforming vital organ therapies. Greater flexibility and efficiency in therapy administration for care teams, and longer, fuller lives for patients&mdash; that is what Vantive aspires to deliver.</p><p></p><p>
We believe Vantive will not only build our leadership in the kidney care space, it will also offer meaningful work to those who join us. At Vantive, you will become part of a community of people who are focused, courageous and don&rsquo;t settle for the mediocre. Each of us is driven to help improve patients&rsquo; lives worldwide. Join us in advancing our mission to extend lives and expand possibilities.</p><p></p><p><b>
Your role:</b></p><p>
The Data Scientist will be responsible for supporting the Global R&amp;D Sciences team to design experiments and analyze data optimizing experimental efficiency and minimize the risks of accuracy, precision and errors (type I and type II) and generate quantitative insights. The Data Scientist will be an educator and collaborator, training the team on design of experiments and data analysis in addition to reviewing protocols (from statistical rigor standpoint), data and reports to improve the statistical interpretation of results and conclusions drawn from the testing.</p><p></p><p><b>
What you&rsquo;ll be doing:</b></p><ul><li><p>
Supporting R&amp;D projects and products through input on designs of laboratory testing and/or the analyses of existing data.</p></li><li><p>
Devising new approaches to complex problems through adaptations and modifications of standard technical principles, e.g., DMAIC, experimental DOE, and Hypothesis testing.</p></li><li><p>
Assure the use of appropriate statistical rigor in testing and data analyses.</p></li><li><p>
Designing experiments and assisting others with design of experiments, including:</p><ul><li><p>
Determining variables assessed versus those remaining fixed</p></li><li><p>
Bounding the design space</p></li><li><p>
Identifying controls for the experiment</p></li><li><p>
Determining if R&amp;R is needed, and if so, how the assessment is performed</p></li></ul></li><li><p>
Aiding with statistical assessments</p><ul><li><p>
Sample size determination</p></li><li><p>
Null hypothesis</p></li><li><p>
Type 1 and Type 2 errors</p></li></ul></li><li><p>
Evaluating the data</p><ul><li><p>
Determining variability of the data</p></li><li><p>
Where necessary determining normalcy, limit of detection, limit of quantification and/or assessing difference</p></li></ul></li><li><p>
Performing multivariant analyses to assess the sensitivity of the system and impact of the different variables. And using this information to optimize the system or design further testing.</p></li><li><p>
Educating the Science team on how to perform these activities for themselves.</p></li><li><p>
Providing periodic updates to R&amp;D Sciences management.</p></li></ul><p></p><p><b>
What you&rsquo;ll bring:
</b></p><ul><li><p>Engineering or Science background with strong statistical mind set</p></li><li><p>
Demonstrated ability and interest to work within a multidisciplinary team environment</p></li><li><p>
Ability to drive results on multiple simultaneous projects</p></li><li><p>
Experience working with laboratory or manufacturing data</p></li><li><p>
Experience designing experiments (DOE)</p></li><li><p>
Ability to influence management on courses of action using data analyses with minimal assistance using both written and verbal methods.</p></li><li><p>
Must be able to provide solutions that reflect understanding business objectives and cost implications.</p></li><li><p>
Must be able to develop and tell business value proposition story using data</p></li></ul><p></p><p><b>
Education and/or Experience:
</b></p><ul><li><p>Degree in engineering, sciences, math/statistics or similar disciplines.</p></li><li><p>
B.S. with greater than 10+ years of related experience or M.S. with greater than 7+ years of related experience or Ph.D. with greater than 5+ years of related experience.</p></li><li><p>
10+ years&rsquo; work in a position requiring in depth data analyses and reporting</p></li><li><p>
Experience working in a regulated environment, such as medical device or pharmaceuticals preferred</p></li><li><p>
Strong statistical background is required (through education and/or work experience)</p></li><li><p>
Expert level user of common statistical tools like Minitab or JMP</p></li><li><p>
Expert level user of statistical capabilities in Excel to solve business problems using complex and large data sets.</p></li><li><p>
Expertise in automating statistical data analysis using Python is preferred</p></li><li><p>
Comfort with developing Excel macros and providing such templates to scientists</p></li><li><p>
Formal DMAIC experience is required, Formal Design for Six Sigma experience preferred</p></li><li><p>
GMP/GLP/GDP experience in medical devices and drug products highly preferred</p></li></ul><p></p><p><i>
Vantive is committed to supporting the need for flexibility in the workplace. We do so through our flexible workplace policy which includes a minimum of 3 days a week onsite. This policy provides the benefits of connecting and collaborating in-person in support of our Mission.</i></p><p></p><p><i>
We understand compensation is an important factor as you consider the next step in your career. At Vantive, we are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. The estimated base salary for this position is $128,000 to $160,000 annually. The estimated range is meant to reflect an anticipated salary range for the position. We may pay more or less than of the anticipated range based upon market data and other factors, all of which are subject to change. Individual pay is based on upon location, skills and expertise, experience, and other relevant factors. This position may also be eligible for discretionary bonuses. For questions about this, our pay philosophy, and available benefits, please speak to the recruiter if you decide to apply and are selected for an interview.</i></p><p></p>
Advanced Molding and Extrusion techniques (Learning / Doing (1)), Advanced Molding and Extrusion techniques (Learning / Doing (1)), Automation, reliability &amp; smart manufacturing (Applying / Overseeing (2)), Bar coding, Printing, &amp; Label Specifications (Applying / Overseeing (2)), Critical Systems (Learning / Doing (1)), Data Analysis &amp; Analytics (Applying / Overseeing (2)), Digitalization &amp; Systems Engineering (Applying / Overseeing (2)), First Principles Thinking (Applying / Overseeing (2)), In-depth Understanding of Operational Systems (Applying / Overseeing (2)), Instrumentation (Leading / Driving (4)), Laboratory Maintenance &amp; Material Tracking (Not Applicable (0)), Lean &amp; six sigma process knowledge (Applying / Overseeing (2)), Machine Learning &amp; Artificial Intelligence (Not Applicable (0)), Manufacturing &amp; Process Knowledge (Applying / Overseeing (2)), Manufacturing Process Knowledge (Leading / Driving (4)), Modeling &amp; Simulation (Leading / Driving (4)), Operational Quality Assurance (Applying / Overseeing (2)), Packaging Assessments (Applying / Overseeing (2)), Packaging Design (Applying / Overseeing (2)), Packaging Regulatory Standards &amp; Requirements (Applying / Overseeing (2)), Packaging Validation (Applying / Overseeing (2)), Packaging Verification Study Development &amp; Testing Standards (Applying / Overseeing (2)), Process Automation (Applying / Overseeing (2)), Product / Project Management (Applying / Overseeing (2)), Product &amp; Medical Packaging Materials / Equipment Knowledge (Applying / Overseeing (2)) {+ 8 more}<p></p><p><b>
US Benefits at Vantive</b></p><p></p><p>
This is where your well-being matters. Vantive offers comprehensive compensation and benefits packages for eligible roles. Our health and well-being benefits include medical, dental and vision coverage that start on day one, as well as insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance. Financial and retirement benefits include the Aon Pooled Employer Plan (&ldquo;Aon PEP&rdquo;), Vantive&rsquo;s 401(k) retirement savings plan, to help you prepare for your future. The Aon PEP is designed to help improve retirement outcomes by providing retirement resources more efficiently. The plan offers a robust set of investment options, financial education, and a suite of resources to support your retirement goals.</p><p></p><p>
We also offer Flexible Spending Accounts, educational assistance programs, and time-off benefits such as paid holidays, paid time off ranging from 20 to 35 days based on length of service, family and medical leaves of absence, and paid parental leave. Additional benefits include commuting benefits, the Employee Discount Program, the Employee Assistance Program (EAP), and childcare benefits. Join us and enjoy the competitive compensation and benefits we offer to our employees. For additional information regarding Vantive&rsquo;s US Benefits, please speak with your recruiter or visit our Benefits site: Benefits | Vantive</p><p></p><p><b>
Equal Employment Opportunity</b></p><p></p><p>
Vantive is an equal opportunity employer. Vantive evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.<br>
<br>
Know Your Rights: Workplace Discrimination is Illegal</p><p></p><p><b>
Reasonable Accommodation</b></p><p></p><p>
Vantive is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information. Form Link</p><p></p><p><b>
Recruitment Fraud Notice</b><br>
<br>
Vantive has discovered incidents of employment scams, where fraudulent parties pose as Vantive employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our Recruitment Fraud Notice.</p></div>

Data Scientist - Sciences

AT&T

<div><p>This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted.</p><p>
AT&amp;T Global Public Sector is a trusted provider of secure, IP enabled, cloud-based, network solutions and professional services to the Federal Government. We are dedicated to recruiting, developing and empowering a diverse, high-performing workforce that is passionate about what they do, committed to our shared values and dedicated to our customers&rsquo; mission.</p><p>
AT&amp;T provides professional services to the office of the Marine Corps' Assistant Deputy Commandant for Installations &amp; Logistics (I&amp;L), Logistics Plans, Policies and Strategic Mobility. Work includes Strategic Communications Management, Logistics Innovation &amp; Advocacy, IT Portfolio Management, Data Management, Analytics, Program Management and other related services in order to improve and enhance the lethality of the Marine Air/Ground Task Force (MAGTF) through logistics speed, agility, and flexibility.</p><p></p><p>
AT&amp;T has an opening for an AI Research Scientist to support DoD and federal defense customers by advancing AI algorithms, developing innovative models, and applying cutting-edge research to solve complex mission-critical challenges in a secure government environment.</p><p><b>
Job Duties/Responsibilities:</b></p><ul><li>
Conducts research to advance AI algorithms, techniques, and methodologies</li><li>
Develops algorithms and models for solving complex AI problems, such as machine learning, natural language processing, computer vision, or robotics</li><li>
Designs experiments, collects and analyzes data, and develops prototypes to test new ideas and theories</li><li>
Explores new approaches, refines existing techniques, and optimizes algorithms for performance and scalability</li><li>
Stays up to date with the latest advancements in AI research and incorporates new techniques into ongoing project</li></ul><p><b>
What You&rsquo;ll Need</b></p><ul><li>
Demonstrated experience performing duties within a DoD, federal, or defense‑support environment</li><li>
Ability to operate effectively in a structured, mission‑driven, and customer‑facing government setting</li><li>
Experience supporting programs with defined task orders, performance metrics, and delivery timelines</li><li>
Ability to comply with all federal government contracting, suitability, and security requirements</li><li>
Strong communication skills and the ability to work with military, civilian, and contractor personnel</li></ul><p></p><p><b>
Required Clearance:</b></p><p>
Must be a US Citizen and able to attain clearance.</p><p>
CLEARABLE; SECRET PREFERRED (clearable) (#secret)</p><p></p><p><b>
Required Qualifications:</b></p><ul><li>
Master&rsquo;s degree in information systems or related field</li><li>
10+ years of related experience</li><li>
Prior experience supporting USMC, DoD, or other federal defense organizations</li><li>
Familiarity with Marine Corps organizational structures, operational processes, or logistics/IT environments</li><li>
Experience briefing or supporting senior government or military leadership</li><li>
Understanding of federal acquisition, compliance, or operational frameworks</li></ul><p></p><p>
This position requires the ability to obtain and maintain a government security clearance at the level required by the task order. Employment is contingent upon award of task order and successful completion of the security clearance process and continued eligibility throughout the course of employment.</p><div></div><div><p>
Our AI Research Scientist's earn between $210,000 - $253,798. Not to mention all the other amazing rewards that working at AT&amp;T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.</p><p><b>
Joining our team comes with amazing perks and benefits:</b></p><ul><li>
Medical/Dental/Vision coverage</li><li>
401(k) plan</li><li>
Tuition reimbursement program</li><li>
Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)</li><li>
Paid Parental Leave</li><li>
Paid Caregiver Leave</li><li>
Additional sick leave beyond what state and local law require may be available but is unprotected</li><li>
Adoption Reimbursement</li><li>
Disability Benefits (short term and long term)</li><li>
Life and Accidental Death Insurance</li><li>
Supplemental benefit programs: critical illness/accident hospital indemnity/group legal</li><li>
Employee Assistance Programs (EAP)</li><li>
Extensive employee wellness programs</li><li>
Employee discounts up to 50% off on eligible AT&amp;T mobility plans and accessories, AT&amp;T internet (and fiber where available) and AT&amp;T phone</li></ul></div><p></p><p><b>
Weekly Hours:</b></p>
40<p></p><p><b>
Time Type:</b></p>
Regular<p></p><p><b>
Location:</b></p>
Chantilly, Virginia<p></p><p>
It is the policy of AT&amp;T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&amp;T will provide reasonable accommodations for qualified individuals with disabilities. AT&amp;T is a fair chance employer and does not initiate a background check until an offer is made.</p></div>

AI Research Scientist (Government)

Search 601+ Informatics scientist jobs near you this May. New roles added regularly across leading industries. Apply today.