Senior Principal Scientist jobs at Amazon

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an Applied Scientist, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production • Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization • Provide customer and market feedback to product and engineering teams to help define product direction About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Senior Machine Learning Scientist - Traveler Engagement & Loyalty team (San Jose) Introduction to the Team: Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. The Traveler Engagement & Loyalty team at Expedia is at the forefront of innovation in AI-driven recommendation systems. We're dedicated to enhancing customer experiences, increasing engagement, and strengthening traveler relationships through cutting-edge machine learning solutions. Our work directly impacts millions of travelers worldwide, shaping their journey from dreaming to booking and beyond. Join a newly formed Machine Learning Science team at Expedia Group focused on transforming Customer Relationship Management (CRM) through intelligent, personalized outbound communications. From crafting tailored travel recommendations to optimizing engagement strategies, your work will directly influence millions of travelers globally. This is a rare opportunity to build foundational systems in a high-impact domain, backed by Expedia's AI-first vision. In this role, you will: Build and optimize recommendation models for CRM use cases, including personalized email campaigns and retention strategies Apply deep learning and causal inference to sparse, noisy, and dynamic customer interaction data Design and analyze A/B experiments to validate model performance and drive product decisions Collaborate with ML Engineers to deploy models at scale, ensuring robustness and reliability in production environments Translate business objectives into measurable machine learning goals aligned with customer engagement outcomes Stay current with advancements in recommendation research, deep learning architectures, and personalization systems Mentor junior scientists and engineers, sharing best practices in ML modeling, experimentation, and deployment Minimum Qualifications: PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience 8+ years of related industry experience Experience building production-grade recommendation or personalization systems Strong understanding of collaborative filtering, deep learning for recommendations, reinforcement learning, and causal inference Proficiency in Python and ML frameworks such as TensorFlow or PyTorch Experience with distributed systems like Apache Spark Familiarity with A/B testing and experimentation methodologies Ability to work with large-scale, real-world data with attention to bias, fairness, and privacy Excellent communication skills for both technical and non-technical audiences Preferred Qualifications: Experience in the travel or e-commerce industry Familiarity with cloud platforms (AWS, GCP, Azure) Publications in top-tier ML conferences or journals Contributions to open-source ML projects Experience in personalization systems or CRM-focused ML applications Experience taking models from prototype to production in collaboration with Machine Learning Engineering teams

Introduction to the team We create and deliver an aligned, dedicated marketing strategy to fuel each Expedia Group brand's success. Since our travelers interact with us through our brands, we have a brand focus in our marketing, while leveraging the scale and efficiency we've built in functional expertise. At Expedia Group, our Growth Marketing team is redefining how data-driven marketing meets AI-powered, agentic automation. We drive performance through best-in-class, scalable machine learning, deploying production-ready multimodal LLMs, GenAI, and agentic NLP architectures. Our agentic systems power everything from personalized travel discovery to real-time, cross-platform campaign execution at massive scale. Explore “Trip Matching” on Instagram for a glimpse into our production chatbot transforming inspiring reels and posts into hotel recommendation. As an ML Scientist III, your mission is to engineer, and scale production AI workflows, agents, and multimodal LLM pipelines, leveraging both in-house and third-party systems. You'll develop agentic solutions with advanced orchestration tools like LangGraph, Langfuse, RAG, and the latest frameworks, owning end-to-end delivery and optimizations for inference and GenAI systems. In this role, you will: Develop and deploy complex agentic and multimodal AI workflows at production scale, architecting memory-enabled, context-aware agents that drive dynamic automation, personalization, real-time monitoring and content generation. Design and orchestrate advanced LLM and RAG-driven agent solutions using modular frameworks including LangGraph, Langfuse, CrewAI, AutoGen, and other emerging agentic orchestration tools-enabling adaptive, stateful, and highly interactive workflow graphs. Integrate and optimize complete multimodal GenAI pipelines: text-to-image, image-to-video, text-to-video, and text-to-voice, leveraging and extending in-house and third party models. Fine-tune (parameter-efficient tuning, LoRA, QLoRA, etc.), and evaluate (perplexity, accuracy, creativity metrics) both open-source (Llama, MPT, Phi-4, etc.) and commercial LLMs (OpenAI GPT-4, Gemini, Claude). Pioneer LLM-based simulation & evaluation environments (e.g., LLM-as-a-Judge): Leverage the latest LLMs, multi-agent systems, and generative tools to simulate user behavior, accelerate experimental cycles, and rigorously evaluate new features or workflows in both synthetic and prod online shopping and travel environments. Simulate A/B testing via LLM simulations: Build A/B test agents capable of simulating user engagement, behavioral outcomes, and marketing scenarios to complement and replace large-scale online testing-enabling rapid iteration, robust pre-deployment validation, and deeper insight into agentic/LLM-driven feature impact. Continuously adopt and iterate on the latest frameworks, staying current with state-of-the-art in agentic orchestration, memory models, multimodal GenAI, LLM pipelines, and LLM operation (RAG, memory, tracing, evaluation). Collaborate deeply with engineering, marketing, and product teams to translate evolving business objectives into scalable and observable AI-driven solutions. Experience and qualifications: Minimum 7+ years experience delivering robust, scalable AI/GenAI solutions at enterprise scale with a Bachelors degree (4-5+ year of relevant experience with a Masters/PhD in CS, EE, Stats) Agentic frameworks experience working with platforms such as LangGraph, Langfuse, RAG, CrewAI, AutoGen, and comparable agent workflow frameworks Ability to design complex agent graphs with memory, tool calling, and multi-step reasoning Multimodal and agentic AI experience in both commercial and open-source models (VLMs, CLIP, Phi-4, DINO, etc), advanced LLM pipeline design, and shipping both inference and generative AI features to users Hands-on experience in fundamental neural network models (CNN, Transformers, BERT, VAEs, Multimodals etc) Proven expertise in architecting persistent, hybrid, and context-managed memory for agentic workflows Strong in Python (PyTorch, HuggingFace, etc.), MLOps, distributed systems (PySpark, Databricks, Airflow), and scalable API engineering Deep experience with tracing, logging, and observability stacks (Langfuse, PromptLayer, Weights & Biases, etc.), including prompt monitoring and model evaluation in live production Ability to translate complex technical systems into actionable solutions for cross-functional teams, leveraging Multimodal LLMs and Gen AI models

We are seeking a PhD-level Clinical Scientist to support the Biologics License Application (BLA) submission for a Breakthrough Therapy-designated biologic targeting a neurodegenerative rare disease. This role will contribute to late-stage clinical development, supporting clinical data interpretation, regulatory documentation, and cross-functional collaboration as the program advances toward potential approval. Key Responsibilities Support late-stage clinical development and BLA submission activities Interpret and synthesize clinical efficacy, safety, and biomarker data in pediatric populations Author and review clinical sections of regulatory documents (Modules 2 and 5) Collaborate cross-functionally with Regulatory, Clinical Operations, Biostatistics, and Medical Affairs Support FDA interactions and regulatory meetings as needed Qualifications PhD in a life sciences discipline 5+ years of clinical development experience in biotech or pharma Experience supporting late-stage programs and regulatory submissions (BLA/NDA/MAA) Strong scientific writing and cross-functional collaboration skills Experience in rare disease, pediatric, neurodegenerative, or biologics programs preferred Why This Role This is an opportunity to contribute to a Breakthrough Therapy-designated biologic at a critical regulatory milestone, advancing a program aimed at addressing serious unmet need in pediatric neurodegenerative disease.

Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Who We Are: Travel is a force for good. At Expedia Group (Expedia, Hotels.com, Vrbo, Travelocity, Orbitz, Wotif, and others), our mission is to power global travel for everyone, everywhere-because we know that travel strengthens connections, broadens horizons, and bridges divides. Powered by more than 80+ terabytes of data and 20+ years of tech innovation, Expedia Group is one of the world's largest travel platforms. With unrivaled knowledge of the industry and advanced technology, we've built a marketplace that filters through millions of possibilities for travelers and partners worldwide. About the Team: The Marketplace Machine Learning Science team is launching a high-impact initiative focused on Customer Lifetime Value (CLV)-a key business metric that will shape long-term company performance and executive decision-making. As a Machine Learning Scientist III, you will lead efforts to build causal models and experimentation frameworks that optimize how we serve millions of travelers globally. This is a high-visibility role with direct exposure to executive leadership and cross-functional teams across product, engineering, marketing, customer service, pricing, and more. You'll be joining a zero-to-one initiative with strong leadership support and urgency to deliver impact starting immediately. Strategic Impact & Visibility: This role offers a rare opportunity to shape how Expedia Group measures and optimizes long-term customer value. You'll be part of a newly formed team with zero existing members on CLV, giving you the chance to influence foundational modeling decisions and build scalable solutions from the ground up. In this role, you will: Lead the research and implementation of scalable machine learning and data science solutions end-to-end with engineering rigor Apply causal inference techniques to understand drivers of customer lifetime value and measure the impact of business interventions (e.g., marketing, service, product features) Design and execute robust experiments (e.g., A/B tests, quasi-experimental methods) to evaluate business strategies and validate model performance Translate complex findings into actionable insights for both technical and non-technical stakeholders Break down ambiguous business problems into structured, data-driven solutions Stay informed on relevant ML and AI research, with support from Expedia's learning and development resources Collaborate with other machine learning and data science teams to foster a strong data science culture across Expedia Group Minimum Qualifications: Advanced degree in Computer Science, Statistics, Operations Research, Econometrics, Economics, or a related quantitative field Typically requires 4+ years of professional experience, though candidates with equivalent project or research experience are encouraged to apply Strong hands-on experience in causal modeling and experimental design Proven ability to analyze large, complex datasets and generate actionable insights Pragmatic problem solver focused on scalable and effective methods Ability to share ideas effectively with diverse technical and business audiences Preferred Qualifications: Proficiency in Python; familiarity with Spark is a plus but not required - eagerness to learn is valued Experience with end-to-end ML solution development Experience or interest in applying AI techniques, including large language models (LLMs), is a plus

Immediate need for a talented Scientist 4 - Research and Development. This is a 12+ Months Contract opportunity with long-term potential and is located in Spring House, PA (Onsite). Please review the job description below and contact me ASAP if you are interested. Job ID:25-94738 Pay Range: $57 - $67/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Support membrane protein expression and purification. Conduct protein production, purification and characterization. Characterization and quality check of membrane proteins to support biotherapeutics development. Collaborate effectively in a multi-team environment. Contribute to both internal and external efforts in membrane protein production. Key Requirements and Technology Experience: Skills-Experience in independently operating AKTA FPLC and analytical HPLC instruments. Proficient in protein purification optimization, detergent screening, and reconstitutions into lipid nanodiscs. Minimum of BS Degree with a minimum of 2-4 years of academic/industry experience or MS Degree with a minimum of 1-2 years is required. Experience with membrane protein expression and optimization, purification, and characterization of proteins Well-versed with analytical characterization to determine quality, conformation, purity and stability Knowledge of protein expression construct design and optimization, and expression platforms Excellent communication skills to collaborate with internal and external partners Proficient in protein purification optimization, detergent screening, and reconstitutions into lipid nanodiscs Experience in independently operating AKTA FPLC and analytical HPLC instruments Experience in generating DNA/RNA constructs and or other tools as antigen for supporting antibody discovery Knowledge and experience with CROs for protein production Our client is a leading Pharmaceutical Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

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: ********************* * These benefits vary by job classification. What Your Job Will Be Like Sandia's artificial intelligence (AI) team is building the U.S. Department of Energy's (DOE) next-generation AI Platform, an integrated scientific AI capability that delivers rapid, high-impact solutions for national security, science, and applied energy missions. The Platform is based on three pillars: Models, Infrastructure, and Data. You will join the Data Pillar team to design, implement, and operate Sandia's AI-ready, zero-trust data ecosystem. Your work will transform raw simulation outputs, sensor and facility logs, experimental records, and production data into governed, provenance-tracked, and access-controlled datasets that power AI models, autonomous agents, and mission workflows across DOE's HPC, cloud, and edge environments. We anticipate multiple hires for the Data Pillar that collectively span the set of responsibilities and skills described below. Likewise, new hires will be expected to work in conjunction with existing Sandia staff and teams from other DOE laboratories to deliver on this ambitious, fast-paced project. Importantly, we anticipate that while AI Platform development will leverage existing AI and data science tools extensively, success will also require considerable innovation and problem solving to address the unique needs of DOE applications. If this sounds like an exciting challenge to you, we look forward to reading your application! Key Responsibilities: * Build and operate an AI-Ready Lakehouse * Design and maintain a federated data lakehouse with full provenance/versioning, attribute-based access control, license/consent automation, and agent telemetry services * Implement automated, AI-mediated ingestion pipelines for heterogeneous sources (HPC simulation outputs, experimental instruments, robotics, sensor streams, satellite imagery, production logs). * Enforce Data Security & Assurance * Develop a Data Health & Threat program: dataset fingerprinting, watermarking, poisoning/anomaly detection, red-team sampling, and reproducible training manifests * Configure secure enclaves and egress processes for CUI, Restricted Data, and other sensitive corpora with attestation and differential-privacy where required * Define and Implement Data Governance * Establish FAIR-compliant metadata standards, data catalogs, and controlled-vocabulary ontologies * Automate lineage tracking, quality checks, schema validation, and leak controls at record-level granularity * Instrument AI Workflows with Standardized Telemetry * Deploy Agent Trace Schema (ATS) and Agent Run Record (ARR) frameworks to log tool calls, decision graphs, human hand-offs, and environment observations * Treat agent-generated artifacts (plans, memory, configurations) as first-class data objects * Collaborate Across Pillars * Work with Models and Interfaces teams to integrate data services into training, evaluation, and inference pipelines * Partner with Infrastructure engineers to optimize data movement, tiered storage, and high-bandwidth networking (ESnet) between HPC, cloud, and edge * Engage domain scientists and mission leads for agile deterrence, energy grid, and critical minerals use cases to curate problem-specific datasets * Support Continuous Acquisition & Benchmarking * Design edge-to-scale data acquisition systems with robotics and instrument integration * Develop data/AI benchmarks: datasets, tools, and metrics for pipeline performance, model evaluation, and mission KPIs On any given day, you may be called upon to: * Author an AI-mediated parser for a new experimental instrument, automatically extracting and cataloging metadata * Implement an attribute-based policy that blocks unapproved data combinations in a classified enclave * Prototype a streaming pipeline that feeds live sensor data from a nuclear facility into an HPC training queue * Develop a dashboard that alerts on data drift, pipeline failures, or anomalous records * Collaborate with MLOps engineers to version datasets alongside model artifacts in CI/CD You will be part of a multi-disciplinary, mission-focused team delivering foundational data capabilities for transformative AI systems in national security, energy, and critical materials. Occasional travel may be required. If you are passionate about building the data backbone for next-generation AI at scale, we want to hear from you. The selected applicant can work a combination of onsite and offsite work. The selected applicant must live within a reasonable distance for commuting to the assigned work location when necessary. Salary Range $114,000 - $227,500 * 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 * Bachelor's degree in Computer Science, Data Science, Statistics, or a related STEM field, plus five (5) years of directly relevant experience, or an equivalent combination of education and experience * Ability to acquire and maintain a DOE Q clearance Qualifications We Desire The ideal R&D S&E Data Scientist candidate for Sandia National Laboratories will in addition possess the following: * Graduate degree (M.S. or Ph.D.) with a significant data research component where an independent research project was a graduation requirement (e.g., independent project, thesis, or dissertation). * Experience in developing software for enterprise and national security applications. * Experience acquiring, preparing, and analyzing real world data * Demonstrated software development skills and familiarity with modern software development practices. * Proven ability to work and communicate effectively in a collaborative and interdisciplinary team environment, guiding technical decisions and mentoring junior staff. Also, for this posting we are seeking individuals with the following experience: Also, for this posting we are seeking individuals with the following experience: * Graduate degree in Data Science, Informatics, Statistics, or a related STEM field with a significant data research component * Background in AI-mediated data curation: automated annotation, feature extraction, and dataset certification * Hands-on knowledge of data security and zero-trust principles, including secure enclaves, attribute-based access control, and data masking or differential privacy * Familiarity with FAIR (Findable, Accessible, Interoperable, Reusable) data practices * Curating and managing scientific or engineering datasets * Data architecture for HPC and edge-computing environments * Advanced data fusion techniques for heterogeneous and streaming data sources * Building data pipelines for feature stores, experiment tracking, and model drift monitoring * Designing and enforcing data policies for classified, export-controlled, or proprietary data * Collaborating on public private partnerships or multi-lab federated data efforts * Demonstrated expertise in building and maintaining production data pipelines (ETL/ELT) and data warehouses or data lakes * Proficiency in programming languages such as Python, SQL, and experience with frameworks like Apache Spark or Dask * Familiarity with cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes) About Our Team The Computational Science Department performs leading-edge software development and technical analysis through physics-based modeling and simulation, using our applications expertise as 'power users' to guide software development at Sandia's Center for Computing Research. Our goal is to establish first-of-a-kind uses of this software in diverse applications of national importance, ranging from nuclear stockpile stewardship to global climate modelling, and spanning multiple disciplines of the physical sciences and engineering. As both developers and analysts, we act as a bridge to set a standard for computational simulation for the broader user community and to incorporate critical feedback from users for continuous improvements in our software development activities and products. Posting Duration This posting will be open for application submissions for a minimum of seven (7) 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, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance 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 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. Apply for Job * Careers * Sign In * New User

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: ********************* *These benefits vary by job classification. What Your Job Will Be Like: Sandia's artificial intelligence (AI) team is building the U.S. Department of Energy's (DOE) next-generation AI Platform, an integrated scientific AI capability that delivers rapid, high-impact solutions for national security, science, and applied energy missions. The Platform is based on three pillars: Models, Infrastructure, and Data. You will join the Data Pillar team to design, implement, and operate Sandia's AI-ready, zero-trust data ecosystem. Your work will transform raw simulation outputs, sensor and facility logs, experimental records, and production data into governed, provenance-tracked, and access-controlled datasets that power AI models, autonomous agents, and mission workflows across DOE's HPC, cloud, and edge environments. We anticipate multiple hires for the Data Pillar that collectively span the set of responsibilities and skills described below. Likewise, new hires will be expected to work in conjunction with existing Sandia staff and teams from other DOE laboratories to deliver on this ambitious, fast-paced project. Importantly, we anticipate that while AI Platform development will leverage existing AI and data science tools extensively, success will also require considerable innovation and problem solving to address the unique needs of DOE applications. If this sounds like an exciting challenge to you, we look forward to reading your application! Key Responsibilities: + Build and operate an AI-Ready Lakehouse + Design and maintain a federated data lakehouse with full provenance/versioning, attribute-based access control, license/consent automation, and agent telemetry services + Implement automated, AI-mediated ingestion pipelines for heterogeneous sources (HPC simulation outputs, experimental instruments, robotics, sensor streams, satellite imagery, production logs). + Enforce Data Security & Assurance + Develop a Data Health & Threat program: dataset fingerprinting, watermarking, poisoning/anomaly detection, red-team sampling, and reproducible training manifests + Configure secure enclaves and egress processes for CUI, Restricted Data, and other sensitive corpora with attestation and differential-privacy where required + Define and Implement Data Governance + Establish FAIR-compliant metadata standards, data catalogs, and controlled-vocabulary ontologies + Automate lineage tracking, quality checks, schema validation, and leak controls at record-level granularity + Instrument AI Workflows with Standardized Telemetry + Deploy Agent Trace Schema (ATS) and Agent Run Record (ARR) frameworks to log tool calls, decision graphs, human hand-offs, and environment observations + Treat agent-generated artifacts (plans, memory, configurations) as first-class data objects + Collaborate Across Pillars + Work with Models and Interfaces teams to integrate data services into training, evaluation, and inference pipelines + Partner with Infrastructure engineers to optimize data movement, tiered storage, and high-bandwidth networking (ESnet) between HPC, cloud, and edge + Engage domain scientists and mission leads for agile deterrence, energy grid, and critical minerals use cases to curate problem-specific datasets + Support Continuous Acquisition & Benchmarking + Design edge-to-scale data acquisition systems with robotics and instrument integration + Develop data/AI benchmarks: datasets, tools, and metrics for pipeline performance, model evaluation, and mission KPIs On any given day, you may be called upon to: + Author an AI-mediated parser for a new experimental instrument, automatically extracting and cataloging metadata + Implement an attribute-based policy that blocks unapproved data combinations in a classified enclave + Prototype a streaming pipeline that feeds live sensor data from a nuclear facility into an HPC training queue + Develop a dashboard that alerts on data drift, pipeline failures, or anomalous records + Collaborate with MLOps engineers to version datasets alongside model artifacts in CI/CD You will be part of a multi-disciplinary, mission-focused team delivering foundational data capabilities for transformative AI systems in national security, energy, and critical materials. Occasional travel may be required. If you are passionate about building the data backbone for next-generation AI at scale, we want to hear from you. The selected applicant can work a combination of onsite and offsite work. The selected applicant must live within a reasonable distance for commuting to the assigned work location when necessary. Salary Range: $114,000 - $227,500 *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: + Bachelor's degree in Computer Science, Data Science, Statistics, or a related STEM field, plus five (5) years of directly relevant experience, or an equivalent combination of education and experience + Ability to acquire and maintain a DOE Q clearance Qualifications We Desire: The ideal R&D S&E Data Scientist candidate for Sandia National Laboratories will in addition possess the following: + Graduate degree (M.S. or Ph.D.) with a significant data research component where an independent research project was a graduation requirement (e.g., independent project, thesis, or dissertation). + Experience in developing software for enterprise and national security applications. + Experience acquiring, preparing, and analyzing real world data + Demonstrated software development skills and familiarity with modern software development practices. + Proven ability to work and communicate effectively in a collaborative and interdisciplinary team environment, guiding technical decisions and mentoring junior staff. Also, for this posting we are seeking individuals with the following experience: Also, for this posting we are seeking individuals with the following experience: + Graduate degree in Data Science, Informatics, Statistics, or a related STEM field with a significant data research component + Background in AI-mediated data curation: automated annotation, feature extraction, and dataset certification + Hands-on knowledge of data security and zero-trust principles, including secure enclaves, attribute-based access control, and data masking or differential privacy + Familiarity with FAIR (Findable, Accessible, Interoperable, Reusable) data practices + Curating and managing scientific or engineering datasets + Data architecture for HPC and edge-computing environments + Advanced data fusion techniques for heterogeneous and streaming data sources + Building data pipelines for feature stores, experiment tracking, and model drift monitoring + Designing and enforcing data policies for classified, export-controlled, or proprietary data + Collaborating on public private partnerships or multi-lab federated data efforts + Demonstrated expertise in building and maintaining production data pipelines (ETL/ELT) and data warehouses or data lakes + Proficiency in programming languages such as Python, SQL, and experience with frameworks like Apache Spark or Dask + Familiarity with cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes) About Our Team: The Computational Science Department performs leading-edge software development and technical analysis through physics-based modeling and simulation, using our applications expertise as 'power users' to guide software development at Sandia's Center for Computing Research. Our goal is to establish first-of-a-kind uses of this software in diverse applications of national importance, ranging from nuclear stockpile stewardship to global climate modelling, and spanning multiple disciplines of the physical sciences and engineering. As both developers and analysts, we act as a bridge to set a standard for computational simulation for the broader user community and to incorporate critical feedback from users for continuous improvements in our software development activities and products. Posting Duration: This posting will be open for application submissions for a minimum of seven (7) 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, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance 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 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. Job ID: 696224 Job Family: RD Regular/Temporary Position: T Full/Part-Time Status: F

The role - what you'll do Barr is seeking an environmental toxicologist to support complex, multidisciplinary projects focused on contaminated sediment, surface water, groundwater, and ecological risk assessment. In this hybrid role, you will support the Assessment and Remediation business unit. Assignments may include conducting ecological risk assessments; developing toxicity and exposure evaluations for contaminated sediment projects; interpreting environmental chemistry and toxicology data; preparing technical reports, study design and sampling plans, and quality assurance documentation; and contributing to projects conducted under CERCLA, RCRA, NEPA, NRDA, and other federal and state environmental programs. The ideal candidate brings strong analytical judgment, excellent technical writing skills, advanced knowledge of environmental toxicology, and experience working within the regulatory frameworks that guide contaminated site cleanup. They demonstrate leadership, the ability to coordinate multiple priorities, and the interpersonal skills needed to work effectively with colleagues, clients, agencies, and stakeholder groups. Above all, they value teamwork, quality, and integrity in delivering impactful environmental solutions. Your impact - key responsibilities Technical knowledge: apply advanced environmental toxicology principles to evaluate chemical exposure and effects across sediment, water, and biological systems. Interpret chemistry and toxicity data to support ecological risk assessments and help inform remedial decision-making. Project leadership: lead or support project and task delivery, including developing scopes, schedules, and budgets; managing teams; and producing high-quality technical documents. Foster strong client relationships and contribute to the successful execution of complex environmental projects. Problem solving and regulatory strategy: assess site-specific environmental conditions and develop scientifically defensible approaches aligned with CERCLA, RCRA, and other regulatory programs. Provide clear technical and regulatory recommendations that support environmental decisions and cleanup strategies. Communication: prepare clear, compliant technical documentation and effectively communicate complex concepts to both technical and non-technical audiences Interpersonal savvy: collaborate with multidisciplinary teams and clients to align technical work with project objectives while fostering strong, productive working relationships. Mentor junior staff, support team development, and contribute positively to Barr's culture of teamwork, respect, and client service. About the opportunity Compensation: anticipated range of $90,000-$125,000 annually. Compensation will vary based on relevant experience, education, skill level, and other compensable factors. Employees in this position may also be eligible for a discretionary cash bonus based on team and individual performance. This position is classified as exempt (salaried) under the Fair Labor Standards Act. Hybrid: a hybrid work arrangement may be considered for this position. A hybrid work arrangement refers to splitting time worked between a Barr office and a home office. This position can be based out of Barr's Ann Arbor, Grand Rapids, Michigan, Minneapolis, Duluth, Minnesota, and Seattle, Washington offices. Travel expectation: willingness to travel and periodically adjust personal schedule to meet project needs. Fieldwork opportunities may be available in this role, depending on project needs, interests, and experience, and may include some out-of-town travel. Work environment: ability to work in locations that may feature rough terrain typical of construction sites and may also require entering and working in facilities that include limited accessibility, moving machinery, and other conditions typical of industrial facilities. Job assignments may involve work on waste disposal sites and sites requiring cleanup of hazardous materials. An OSHA-mandated physical exam may be required. Safety training will be provided. Applicants may be asked to participate in a drug screening program at the request of specific clients. Candidates must be able to perform job duties with or without reasonable accommodation. Physical requirements for the role may include the following for site visits and/or fieldwork: Ability to conduct fieldwork in varying outdoor conditions (e.g., heat, cold, rain, uneven terrain). Must be able to lift and carry equipment and materials weighing up to 50 pounds. Capable of standing, walking, kneeling, or crouching for extended periods. Use of personal protective equipment (PPE) as required by site conditions. Ability to safely operate or work around environmental monitoring and sampling equipment. Candidates must be able to perform job duties with or without reasonable accommodation. About you - required core competencies Education: bachelor's degree in environmental toxicology, environmental science, chemistry, environmental engineering, ecology, or a related field. Experience: minimum of eight years of relevant experience supporting contaminated site investigations, environmental toxicology evaluations, or ecological risk assessments in consulting, industry, laboratory, or regulatory settings. Software: strong computer skills, including proficiency with Microsoft Office Suite and the ability to work effectively with environmental datasets, toxicity results, and technical documentation. Regulatory Knowledge: familiarity with CERCLA, RCRA, NRDA, NEPA, ESA, and the Clean Water Act. Driver's license: possession of a current, valid driver's license and an acceptable driving record. Must be legally authorized to work in the United States without the need for sponsorship by Barr, now or in the future. Helpful additional experience (not required) Master's degree or higher in environmental toxicology, environmental science, chemistry, environmental engineering, ecology, or a related field. Experience conducting or interpreting toxicity tests, bioassessments, or ecological field surveys. Experience coordinating with regulatory agencies, stakeholder groups, or multiparty PRP teams. Experience with business development or client relationship management. HAZWOPER 40-hour certification. To be considered, please submit both your resume and cover letter, answering each of the following questions: How has your experience with CERCLA, RCRA, and other regulatory programs shaped your approach to toxicology work, and how would you bring that perspective to this role at Barr? Which aspects of your technical background-such as ecological risk assessment, data interpretation, or technical writing-best prepare you for this position and why? #LI-Hybrid Benefits - what we offer We are committed to providing an employee experience that attracts and retains top talent. That's why we offer a competitive package of employee benefits - including some unique offerings not found at other companies. At Barr, we also believe that learning doesn't stop when you get your degree, which is why we provide coaching, mentoring, and support for ongoing educational opportunities to foster professional development at every stage of your career. Competitive, affordable insurance plans: Medical, dental, vision, life, disability, accidental death insurance, and flexible spending accounts for medical and dependent care Retirement benefits: 401(k) retirement savings plan with company contribution and an Employee Stock Ownership Plan (ESOP) with company contribution in Barr stock Profit distribution: Barr has a "no retained earnings" model and distributes all profit to our employees through our annual bonus distribution plan, ESOP, and dividends to shareholders Professional development benefits: Annual time and expense allowances, mentorship program, and many internal training opportunities Work/life balance: Paid time off, holidays, overtime for non-exempt/hourly staff, and compensatory time for exempt/salaried staff (time off or pay for extra time worked), paid family leave Wellness focus: Ergonomic analysis and equipment, Personal Protective Equipment allowance, wellbeing-focused educational opportunities Please note that benefits eligibility is determined and may change based on part-time, reduced-time, or full-time status. About us - why choose Barr At Barr, you'll join a community of engineers, scientists, and professionals who will help you achieve your ambitions and build a meaningful, rewarding career. You'll serve as a trusted advisor to clients who value Barr's tailored solutions and commitment to exceptional service. As part of our employee-owned firm, you'll contribute to a culture of commitment and camaraderie where staff can thrive as professionals. We value diverse perspectives and experiences and believe an inclusive workplace is critical to our success. To learn more about Barr's culture and values, visit: **************************************** Open positions at Barr Engineering Co. do not have application deadlines. Barr Engineering Co. is an equal opportunity employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

We're looking for an exceptionally skilled and experienced Sr. Principal Data Scientist / Machine Learning Engineer to lead and deliver high-impact AI/ML projects across Automotive domain. The ideal candidate will have a deep understanding of data science and machine learning tools, techniques, and algorithms, coupled with a proven track record of successfully leading projects from conception to deployment. This role demands strong client-facing communication skills and the ability to translate complex technical concepts into tangible business value. Key Responsibilities Technical Leadership & Strategy: Serve as a primary technical expert and thought leader in Data Science and Machine Learning. Define and drive the technical strategy for AI/ML initiatives, identifying high-value opportunities for optimization, predictive analytics, and process improvement across diverse use cases. Architect and oversee the development of robust, scalable, and production-ready DS/ML models and solutions. Stay at the forefront of the latest advancements in DS/ML, especially those applicable to various industries and large-scale data problems. Project Leadership & Delivery: Lead end-to-end DS/ML projects, including requirements gathering, data exploration, model development, validation, deployment, and monitoring. Define project scope, timelines, and deliverables, ensuring successful execution within budget and schedule constraints. Mentor and guide junior and mid-level data scientists and ML engineers, fostering a culture of technical excellence and continuous learning. Drive MLOps best practices for reliable and efficient model deployment and lifecycle management. Client Management & Communication: Act as a trusted advisor to clients and internal stakeholders, understanding their business challenges and translating them into solvable DS/ML problems. Effectively communicate complex analytical findings, model performance, and business recommendations to both technical and non-technical audiences. Manage client expectations, present progress reports, and ensure stakeholder satisfaction. Facilitate workshops and discovery sessions to identify new opportunities for AI/ML adoption. Use Case Development & Problem Solving: Lead the identification, prioritization, and execution of complex AI/ML use cases that drive significant business impact. Apply deep analytical skills to dissect complex problems, derive actionable insights from data, and design innovative solutions. Develop and implement models for: Predictive Analytics: Forecasting, risk assessment, and anomaly detection. Optimization: Improving efficiency, resource allocation, and decision-making. Pattern Recognition: Identifying trends, segments, and relationships within large datasets. Automation: Leveraging ML for intelligent process automation and enhanced operational efficiency. Tool & Algorithm Proficiency: Demonstrated expertise in a wide range of DS/ML tools and platforms (e.g., Python, R, TensorFlow, PyTorch, scikit-learn, Spark, AWS Sagemaker, Azure ML). Deep understanding and practical application of various machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning, deep learning, time series analysis, NLP, computer vision). Proficiency in data manipulation, SQL, and working with large, complex datasets from various sources. Qualifications Master's or Ph.D. in Data Science, Machine Learning, Computer Science, Engineering, Operations Research, Statistics, or a related quantitative field. 8+ years of progressive experience in Data Science and Machine Learning roles, with at least 3-5 years in a leadership or principal-level capacity. Demonstrated experience leading multiple end-to-end DS/ML projects successfully from concept to production. Proven track record of managing client interactions, presenting technical solutions, and influencing strategic decisions. Expertise in Python programming (NumPy, Pandas, Scikit-learn, Keras/TensorFlow/PyTorch). Strong understanding of statistical modeling, experimental design, and hypothesis testing. Experience with cloud platforms (AWS, Azure, GCP) and MLOps principles. Excellent communication, interpersonal, and presentation skills. Preferred Qualifications Experience with real-time data processing and streaming analytics. Knowledge of various industry verticals and their unique data challenges (e.g., finance, healthcare, retail, logistics, manufacturing). Experience with large-scale data architectures (e.g., data lakes, data warehouses, distributed computing). Publications or presentations in relevant fields.

Job Title: Senior Principal Pharmacovigilance Scientist in Inflammation Duration: 09 Months Remote 8 AM to 5 PM About the role: At Client, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on four therapeutic areas and other targeted investments, we push the boundaries of what is possible in order to bring lifechanging therapies to patients worldwide. Join Client as a Senior Principal Pharmacovigilance Scientist in the Inflammation Team where you will provide pharmacovigilance functional area expertise to project teams for assigned developmental and marketed products and be responsible for operational pharmacovigilance activities for assigned developmental and marketed products. You will represent pharmacovigilance, both regionally and globally as an authoritative and knowledgeable member of Global Clinical Development Teams (GCDTs) and similar, determined by the position's seniority/experience. You will also be involved in signal detection/safety monitoring activities for pharmacovigilance operations with a lead responsibility. As part of the GPSE Global Medical Safety team, you will report to the Senior Medical Director, GI and work with the broader safety cross functional groups. How you will contribute: Technically fully competent to perform all usual Principal Pharmacovigilance Scientist/Senior Pharmacovigilance Scientist workload, including case report QC, review, follow-up, and reportability assessments, and input into aggregate safety reports, with the flexibility of mindset this requires. Liaise with other relevant functional areas both within and outside of global PV to best ensure the most efficient and timely attainment of compliant and patient-focused safety data. Represent the pharmacovigilance department in cross-functional teams or committees and external environments at a global and regional level as required, with the advanced communication skills this requires. In-depth knowledge and understanding of designated products/studies. Expect close interaction and involvement with senior PV physicians. Provide support and oversight of pharmacovigilance operational activities for designated compounds. Conduct project activities for designated developmental products. Lead set up of safety procedures for complex developmental programs. Contribute to the development of safety exchange agreements for co-development projects. Review and provide functional area expertise for the development of protocols, IBs, SAPs, CSRs, and other relevant project/study documents. Close knowledge of protocols to effectively respond to safety issues. Participate in Global Safety Teams, coordinating all aspects of signal detection/safety review activities. Draft responses to regulatory/ethics safety questions. Close working relationship with physicians, both technically and managerially. Perform ad hoc analyses e.G. In response to regulatory queries. Integral to Global Safety Teams and associated support. Other functions as directed by departmental and business needs. Proficient in all communication skills, with the agility to respond to different audiences in a clear and concise manner. Where acting as the GSL can expect to lead presentations to Safety Board, with the detailed preparatory work this implies and, where ad hoc issues arise, the short timelines that can ensue. Minimum Requirements/Qualifications: Bachelor's degree required. Advanced degree or specific pharmacovigilance qualification preferred (MD, Ph.D., and PharmD). 6+ years of related experience required. Prior experience must include: Conducting safety signal detection, assessment, and management from various sources including medical scientific literature and global safety database (2 years);performing the medical assessment of the individual case and aggregate safety reports for product safety profile and addressing safety -related regulatory authority requests (2 years);apply clinical trial methodology, various regulatory submissions, pharmacovigilance regulations, and safety profile to perform risk/benefit analysis (risk management plan) (2 years);utilize proficient communication skills with the ability to review, analyze, interpret and present complex safety data to a high standard during internal and global cross-functional collaborations for patient safety (2 years). Excellent databases skills and detailed understanding of MedDRA codes including the ability to perform advanced searches. In-depth knowledge of clinical trial methodology, pharmacovigilance regulations, safety profile, and risk/benefit analysis. Critical thinking and decision-making skills. Ability to review, analyze, interpret, and present complex data to a high standard. Advanced computer skills with the ability to work within multiple systems;advanced skills in Microsoft Office products (including Outlook, Word, and Excel) Global player in a global PV organization.

Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team. Want to learn more about life at Egen? Check out these resources in addition to the job description. Meet EgenLife at EgenCulture and Values at EgenCareer Development at EgenBenefits at Egen About the opportunity: In this role, you'll join our growing team focused on building Generative AI applications for document summarization, classification, and question and answer using unstructured and structured data. This team works with companies of all sizes, from startups to Fortune 100, that are leaders in their fields, pushing the limits of possible. You will develop applications on Google Cloud, work with customers to understand their requirements, suggest new ideas and features to the team, improve the product further, and implement the new functionalities with a passion for quality. You will implement best practices and state-of-the-art techniques for AI and LLMs and work on research, experimentation, and implementation of novel methods.Qualifications: Required hands-on experience designing and implementing applications using Large Language Models (LLM). More specifically: Python programming. Google Gemini, OpenAI GPT, LLaMA, or similar models. LangChain, LlamaIndex, or similar frameworks. Advanced prompt engineering. Retrieval Augmented Generation (RAG). Vector databases (GCP Vector Search, ChromaDB, Pinecone, pgvector, or similar). The ideal candidate will also have experience in one or more of the following:Bachelor's or Master's degree in Computer Science, Engineering, or related field. LLM model fine-tuning. Embedding model fine tuning. Shell scripting. Google Cloud Vertex AI (AutoML, AI APIs, etc.). Classic Machine Learning (ML frameworks, neural net models development, training, tuning, serving). MLOps (ideally on GCP). Data Engineering (including SQL). Personal Attributes: Strong ethics. Strong technical aptitude. Engineering mindset/developer background. Strong sense of ownership and teamwork. Curious, always learning to get better. Enjoys working with clients. Excellent communication skills. Compensation & Benefits: This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:- Comprehensive Health Insurance- Paid Leave (Vacation/PTO)- Paid Holidays- Sick Leave- Parental Leave - Bereavement Leave- 401 (k) Employer Match- Employee Referral Bonuses Check out our complete list of benefits here - >******************************** Important: All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks. EEO and Accommodations: Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

. . . . . NEW OPPORTUNITY Associate Director | Principal Scientist Pharmacology Immuno-Oncology Research This is your opportunity to join a start-up Immuno-Oncology Company and to be a significant contributor as they GROW! Do your skills include the following: Managing, developing, mentoring junior scientists? Overseeing CRO | external resources activity? Advancing assets from candidate selection to preclinical development to IND? PDX models, Humanized models, Xenograft models, etc.? Biomarker discovery | Biomarker strategy? To learn more about this exciting opportunity . . . . Call: ************ or Schedule a time: ******************************** or Email: ************************* Visit our Company Website - ************************ Visit our Career Opportunities Page - *****************************

Established in 1991, Collabera has been a leader in IT staffing for over 22 years and is one of the largest diversity IT staffing firms in the industry. As a half a billion dollar IT company, with more than 9,000 professionals across 30+ offices, Collabera offers comprehensive, cost-effective IT staffing & IT Services. We provide services to Fortune 500 and mid-size companies to meet their talent needs with high quality IT resources through Staff Augmentation, Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing & Solutions) Permanent Placement Services and Vendor Management Programs. Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Job Description • The Junior Scientist will primarily be assisting in performing routine analyses and laboratory support duties. • As time and needs arises, duties may also include developing new microscopy and image analysis methods to support research projects. • Prior experience using a scanning electron microscope (SEM) preferably in an analytical or materials science setting. • Applicant should have some familiarity with electron microprobe analysis using an energy dispersive x-ray spectrometer (EDS). • Background in polymer chemistry, materials science, physics or processing is a plus. • B.S. Degree required and at least 2-3 years ‘experience using a SEM. Additional Information To discuss on this opportunity, please contact : Ujjwal Mane at ************ ****************************

Established in 1991, Collabera has been a leader in IT staffing for over 22 years and is one of the largest diversity IT staffing firms in the industry. As a half a billion dollar IT company, with more than 9,000 professionals across 30+ offices, Collabera offers comprehensive, cost-effective IT staffing & IT Services. We provide services to Fortune 500 and mid-size companies to meet their talent needs with high quality IT resources through Staff Augmentation, Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing & Solutions) Permanent Placement Services and Vendor Management Programs. Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Job Description • The Junior Scientist will primarily be assisting in performing routine analyses and laboratory support duties. • As time and needs arises, duties may also include developing new microscopy and image analysis methods to support research projects. • Prior experience using a scanning electron microscope (SEM) preferably in an analytical or materials science setting. • Applicant should have some familiarity with electron microprobe analysis using an energy dispersive x-ray spectrometer (EDS). • Background in polymer chemistry, materials science, physics or processing is a plus. • B.S. Degree required and at least 2-3 years ‘experience using a SEM. Additional Information To discuss on this opportunity, please contact: Ujjwal Mane at ************ ****************************

Job Details Experienced FLGT 4399 BLDG 1 - El Monte, CA Full Time Graduate Degree $165000.00 - $185000.00 Salary/year BiotechDescription About Us Founded in 2011, Fulgent has evolved into a premier, full-service genomic testing company built around a foundational technology platform. Through our diverse testing menu, Fulgent is focused on transforming patient care in oncology, anatomic pathology, infectious and rare diseases, and reproductive health. We believe that by providing a wide range of effective, flexible testing options in conjunction with best-in-class service and support, we can redefine the way medicine is managed for patients and clinicians alike. Since integrating with our therapeutic development business, Fulgent is also developing drug candidates for treating a broad range of cancers using a novel nanoencapsulation and targeted therapy platform. By merging our fields of expertise, we aim to become a fully integrated precision medicine company. Summary of Position As a Senior Bioinformatics Scientist II, you will collaborate in cross-functional teams to design, implement and continually improve advanced computational pipelines for high-throughput analysis of multiple types of NGS data. You will work independently in refining methodologies for data analysis, processing, visualization and storage. You will also be assigned leadership roles in projects with mentor responsibility to junior members of the team. You will strive to maximize efficiency, quality, reliability and customer usability and satisfaction. Key Job Elements Research and Development Investigate and refine available algorithms, methods and data sources. Work independently to define, prioritize and complete objectives to meet company goals. Make recommendations for pipeline component improvements, or new pipelines. Write SOPs for new or updated pipeline components, or new pipelines. Write specifications for implementation by software developers. Oversee pipeline development and integration. Production and Customer Support Investigate and resolve analysis and pipeline production issues. Review client projects for compatibility with current pipelines, make recommendations and implement customizations as needed. Oversee sequencing service projects, ensuring timely processing, quality results and client satisfaction. Support software and LIMS developers in automation efforts. Perform specialized analyses as needed for specific projects. Keep up-to-date with current best practices and emerging methods. Treat data with a high level of integrity and ethics. Data Maintenance Investigate available annotation and reference data sources. Validate and deploy/update selected data sources. Write reports detailing validation/update methodology and results. Write SOPs for updating existing or new data sources. Validation Develop appropriate procedures for testing and validation of new or updated pipelines or pipeline components. Document and maintain data used for testing and validation. Write validation reports detailing validation methodology and results. Qualifications Knowledge/Experience Ph.D. degree from an accredited institution in Bioinformatics, Biostatistics or related field. 10+ years of experience in a related scientific discipline (Bioinformatics preferred). Demonstrated mastery of Fulgent specific methods and processes. Experience analyzing multiple types of next-generation sequencing (NGS) data Expertise with statistics for big data analysis and multiomics data integration. Expert level hands-on skills in bioinformatics databases and tools. Expert level in relevant programming languages, preferably Scala, Java, Python, and Bash. Must enjoy working in a multi-disciplinary and collaborative environment. Ability to troubleshoot both individually and as part of a team. Excellent oral and written skills with the ability to communicate in an open, transparent, timely and consistent manner. Experience in team software development and integration projects is a plus. Technical Leadership: Provide technical leadership to the team Be the mentor for junior team members. SUPERVISOR RESPONSIBILITIES: None REPORTS TO: Director of Bioinformatics Environment Fulgent Therapeutics LLC is an Equal Employment Opportunity Employer. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. The term “qualified individual with a disability” means an individual with a disability who, with or without reasonable accommodation, can perform the essential functions of the position. For California residents, please see the link below to access our CCPA Privacy Notice. CCPA Privacy Notice for California Residents ******************************* Please note that Fulgent (and its affiliated companies, including Inform Diagnostics and CSI Laboratories) does not accept unsolicited information and/or resumes from search firms or agencies for our job postings. Search firms or agencies without an applicable contract and/or express approval to recruit for the role in question - that choose to submit a resume or client information to our career page or to any employee of Fulgent - will not be eligible for payment of any fee(s), and any associated shared data will become the property of Fulgent.

About Us Founded in 2011, Fulgent has evolved into a premier, full-service genomic testing company built around a foundational technology platform. Through our diverse testing menu, Fulgent is focused on transforming patient care in oncology, anatomic pathology, infectious and rare diseases, and reproductive health. We believe that by providing a wide range of effective, flexible testing options in conjunction with best-in-class service and support, we can redefine the way medicine is managed for patients and clinicians alike. Since integrating with our therapeutic development business, Fulgent is also developing drug candidates for treating a broad range of cancers using a novel nanoencapsulation and targeted therapy platform. By merging our fields of expertise, we aim to become a fully integrated precision medicine company. Summary of Position As a Senior Bioinformatics Scientist II, you will collaborate in cross-functional teams to design, implement and continually improve advanced computational pipelines for high-throughput analysis of multiple types of NGS data. You will work independently in refining methodologies for data analysis, processing, visualization and storage. You will also be assigned leadership roles in projects with mentor responsibility to junior members of the team. You will strive to maximize efficiency, quality, reliability and customer usability and satisfaction. Key Job Elements Research and Development Investigate and refine available algorithms, methods and data sources. Work independently to define, prioritize and complete objectives to meet company goals. Make recommendations for pipeline component improvements, or new pipelines. Write SOPs for new or updated pipeline components, or new pipelines. Write specifications for implementation by software developers. Oversee pipeline development and integration. Production and Customer Support Investigate and resolve analysis and pipeline production issues. Review client projects for compatibility with current pipelines, make recommendations and implement customizations as needed. Oversee sequencing service projects, ensuring timely processing, quality results and client satisfaction. Support software and LIMS developers in automation efforts. Perform specialized analyses as needed for specific projects. Keep up-to-date with current best practices and emerging methods. Treat data with a high level of integrity and ethics. Data Maintenance Investigate available annotation and reference data sources. Validate and deploy/update selected data sources. Write reports detailing validation/update methodology and results. Write SOPs for updating existing or new data sources. Validation Develop appropriate procedures for testing and validation of new or updated pipelines or pipeline components. Document and maintain data used for testing and validation. Write validation reports detailing validation methodology and results. Knowledge/Experience * Ph.D. degree from an accredited institution in Bioinformatics, Biostatistics or related field. * 10+ years of experience in a related scientific discipline (Bioinformatics preferred). * Demonstrated mastery of Fulgent specific methods and processes. * Experience analyzing multiple types of next-generation sequencing (NGS) data * Expertise with statistics for big data analysis and multiomics data integration. * Expert level hands-on skills in bioinformatics databases and tools. * Expert level in relevant programming languages, preferably Scala, Java, Python, and Bash. * Must enjoy working in a multi-disciplinary and collaborative environment. * Ability to troubleshoot both individually and as part of a team. * Excellent oral and written skills with the ability to communicate in an open, transparent, timely and consistent manner. * Experience in team software development and integration projects is a plus. Technical Leadership: * Provide technical leadership to the team * Be the mentor for junior team members. Supervisory Responsibilities * None Reports To * Director of Bioinformatics Environment Fulgent Therapeutics LLC is an Equal Employment Opportunity Employer. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. The term "qualified individual with a disability" means an individual with a disability who, with or without reasonable accommodation, can perform the essential functions of the position. For California residents, please see the link below to access our CCPA Privacy Notice. CCPA Privacy Notice for California Residents ******************************* Please note that Fulgent (and its affiliated companies, including Inform Diagnostics and CSI Laboratories) does not accept unsolicited information and/or resumes from search firms or agencies for our job postings. Search firms or agencies without an applicable contract and/or express approval to recruit for the role in question - that choose to submit a resume or client information to our career page or to any employee of Fulgent - will not be eligible for payment of any fee(s), and any associated shared data will become the property of Fulgent.

Come join our family! Microbac Laboratories is an essential business offering competitive pay and benefits including medical, dental, vision, life insurance, disability, generous paid time off including vacation, holidays and flex-time, a wellness program, referral bonus, tuition reimbursement and more! Whether you are just starting your career in science or looking to further it, Microbac will put you on the path of an exciting career with room to grow. Quality, safety, giving back to our communities, diversity and inclusion, customer success and employee wellbeing are part of our core culture. We are looking for motivated individuals to join our family as an Associate Scientist I . ABOUT MICROBAC Microbac Laboratories, Inc. is a premier commercial laboratory testing firm that partners with clients worldwide, offering laboratory solutions to the life science, food and nutrition, and environmental industries and serves our clients with the utmost expertise and respect for their market requirements, constraints, and challenges. We embody a company-wide commitment to exceptional customer experience, which has been refined over nearly 50 years of trusted, analytical and measurement experience. Through our network of laboratories, offices, and field services, we have the flexibility to meet the unique requirements for each client, project, and scope. As a privately held third-party testing company, Microbac operates with a commitment to safety, quality, and compliance. Our diverse work portfolio includes broad accreditation offerings and tested insights across the environmental, food and nutrition and life science markets. JOB SUMMARY The Associate Scientist I, working in an accredited commercial laboratory, is responsible for assisting with the conduct of microbiological assays and associated activities to determine antimicrobial efficacy of household and commercial cleaning products. ESSENTIAL FUNCTIONS: Following established SOP's and adhering to state, federal and other accrediting body requirements, collect information about the antimicrobial properties of substances/samples to support the analytical testing needs of our clients for such purposes as quantitative or qualitative analysis, and product development Perform laboratory housekeeping duties to include autoclaving and glassware processing Prepare necessary standards, solutions, reagents, media, etc., required for sample analyses Perform equipment and instrumentation set up Operate basic and specialized laboratory instrumentation Prepare and analyze samples Accurately record observations and data and interpret results Assists in the development and validation of new analytical methods Assists in the development of new laboratory procedures Assist department supervisors and managers with staff training Sign off on final certificates of analysis Contribute to writing, editing, and reviewing SOP's Monitor and address sample backlog issues Perform peer review of data to ensure accuracy Maintain accurate, up to date logs, notebooks, and equipment records Perform necessary laboratory administrative functions such as filing paperwork, photocopying, reviewing of data, and entering data into computerized LIMS Comply with and promote Personnel, Safety, and Quality Program MINIMUM REQUIREMENTS: Bachelor's degree from a four-year accredited institution in a related field of applied science Prior analytical testing experience Above average knowledge of principles, terminology, practices, techniques, and instrumentation commonly used in a laboratory setting Ability to interpret data and prepare reports Ability to effectively prioritize work and manage time to meet deadlines and rush orders Computer literacy Ability to work with delicate laboratory equipment Ability to communicate effectively in both written and verbal formats WORKING CONDITIONS AND PHYSICAL REQUIREMENTS: The physical demands and working conditions described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Physical Requirements: While performing the duties of this job, the employee is regularly required to use hands to finger, handle, or feel objects, tools; talk or hear. The employee is required to stand, walk, and sit. The employee must regularly lift and/or move up to 25 pounds. Specific vision abilities required by this job include color vision and depth perception. Working Conditions: While performing the duties of this job, the employee will be in a general laboratory and office environment. The noise level in the work environment is usually moderate. This job may require travel less than 20% As a privately held third-party testing company, Microbac operates with a commitment to safety, quality and compliance. Our diverse work portfolio includes broad accreditation offerings and tested insights across the environmental, food and life science markets. OTHER: This is not an exhaustive list of all duties an employee may be required to perform. Microbac reserves the right to revise the job description at any time. Employment is at-will. Microbac, promotes a drug-free, alcohol-free workplace. Applicants considered for hire must pass a drug test before beginning work. Refusal to submit to testing will result in disqualification of further employment consideration. Microbac is an Equal Opportunity Employer - We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. All qualified applicants will receive consideration for employment.

Job DescriptionSalary: The Scientist will contribute to Extractables & Leachables studies performed in the E&L laboratory at Boston Analytical to support client submissions. The ideal candidate will have experience operating LC-MS and GC-MS systems for analysis of volatile, semi-volatile, and nonvolatile organic extractables and leachables samples. PRIMARY DUTIES AND RESPONSIBILITIES Prepares extractions for analysis. Analysis of sample extract solutions by GC-MS and LC-MS to adequately resolve and identify all compounds. Coordinate findings with the team to generate conclusions. Author detailed cGMP report sections for work performed outlining study findings. Develop analysis methods for drug product leachables testing. Performs system maintenance and calibrations to ensure equipment is operating with specified requirements. Ensures all work performed strictly adheres to Company, client and Pharmacopial requirements. Proper handling of hazardous waste in compliance with the Company and DES hazardous waste rules. REQUIREMENTS & QUALIFICATIONS Qualification includes a Ph.D. in Analytical Chemistry with 2+ years experience or a Masters degree and 4+ years experience or a Bachelors with 6+ years of experience performing and interpreting MS analysis. Knowledge of current Extractable & Leachables guidance (USP, ISO 10993) and best practices preferred. Experience working in a cGMP environment required. MINIMUM SKILLS REQUIREMENTS Must have the ability and skill to perform the detailed job requirements noted above competently, safely and proficiently. A self-starter, motivated person who possesses good interpersonal skills capable of effectively interacting with all departments and client personnel. Must have excellent organizational, verbal communication and technical writing skills. Must be a team player with integrity and concern for the quality of Company products, services and staff members. Demonstrated LC-MS and/or GC-MS operation and data interpretation capability. Ability to develop and optimize HPLC, UPLC, and GC methods. Documented success managing complex projects to completion within customer expectations for deadline, cost, and overall deliverable