Research Scientist jobs at Snap

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 Fraud & Risk team plays a pivotal role in safeguarding the company's finances, thwarting billions of dollars in fraudulent attacks annually. Our efforts extend beyond financial security-we effectively combat various threats, including phishing attacks, counterfeit vacation rental schemes, improper payment diversions, and unauthorized access to personal and payment card information. By ensuring a secure environment, the team fosters trust among travelers and providers, making Expedia's sustained revenue growth possible. In this role, you will: Lead ML Solution Development: Design, develop, and deploy machine learning models to solve complex business problems, ensuring alignment with strategic goals. Drive End-to-End ML Projects: Manage the full ML lifecycle-from data exploration and feature engineering to model evaluation, productionization, and monitoring. Collaborate Across Functions: Partner with engineering, product, and business teams to ensure ML solutions are technically sound and business-relevant. Mentor and Grow Talent: Guide junior scientists and engineers, fostering a culture of innovation, learning, and technical excellence. Advance ML Capabilities: Evaluate and implement cutting-edge algorithms and tools to enhance model performance, scalability, and robustness. Build and Maintain Infrastructure: Configure and optimize storage, compute, and pipeline environments (cloud, on-prem, clusters) to support scalable ML workflows. Develop Internal Platforms and Best Practices: Contribute to the evolution of internal ML platforms, reusable components, and standardized methodologies. Communicate with Impact: Present findings and recommendations through clear, data-driven storytelling and compelling visualizations tailored to diverse audiences. Manage Stakeholders and Projects: Lead cross-functional initiatives, manage expectations, and ensure timely delivery of high-impact solutions. Solve Strategically and Creatively: Frame business problems as data science tasks, prioritize high-leverage work (80/20), and persist through technical and organizational challenges. Minimum Qualifications Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field; or equivalent related professional experience 5+ years of experience building and deploying machine learning models in production environments. Experience applying sequential models (e.g., RNNs, Transformers) and/or Graph Neural Networks (GNNs) to solve real-world problems, with an understanding of their trade-offs and deployment considerations. ML Programming Expertise: Proficient in at least one major ML language (e.g., Python, Scala) with familiarity across others. Software Engineering Skills: Applies design principles, data structures, and patterns to write clean, modular, and pipeline-ready code. Machine Learning Knowledge: Deep understanding of supervised and unsupervised learning; working knowledge of self-supervised and reinforcement learning. Advanced Statistical Methods: Applies techniques like Bayesian Neural Networks, Markov Models, and Factor Analysis with awareness of assumptions and limitations. Applied Research: Conducts applied research and integrates findings from academic publications into practical solutions. Model Evaluation Innovation: Designs and implements custom evaluation techniques for tailored ML solutions. Visualization and Front-End Familiarity: Skilled in data visualization, UX/UI principles, and basic web technologies (HTML/CSS/JavaScript). Preferred qualifications: Mentorship and Leadership: Provides technical mentorship and guides peers in frameworks and methodologies. Knowledge Sharing: Actively contributes to team learning through events, tools, and educational content. Domain and Business Acumen: Demonstrates strong domain expertise (e.g., travel, retail) and critical reasoning aligned with business objectives.

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

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

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.

_corporate_fare_ Google _place_ Goleta, CA, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. **Minimum qualifications:** + PhD in Physics, Material Science or a related field. + 2 years of experience leading a research agenda. + One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.). + Experience developing and sustaining semiconductor fabrication processes in a cleanroom environment. **Preferred qualifications:** + Experience with multiple, semiconductor equipment (e.g., vacuum, dry etch, PVD/CVD, wet etch, advanced lithography systems, high-volume metrology systems). + Experience with failure analysis techniques (e.g., SEM/EDS, Optical Microscopy, X-Ray, FTIR, XPS). + Experience with micro-fabrication techniques and tools and how these can affect quantum device performance. **About the job** As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications. The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Author research papers to share and generate impact of research results across function and in the research community. + Help in growing research business by sharing research trends and best practices within the community. + Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed. + Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research. + Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Snapshot Artificial Intelligence could be one of humanity's most useful inventions. At DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. About Us We aim to enhance Gemini's capabilities to become a truly collaborative partner. User intent is typically unveiled through an ongoing, interactive, and multi-step conversation, rather than a single, isolated prompt. We seek for the model to be able to proactively engage by asking clarifying questions, making timely suggestions, and automatically incorporating relevant context from past interactions and personal data. This challenge is conceptualized as an imperfect information game. The core objective is for the model to deduce a user's hidden goals and preferences through cues provided during a conversation. We plan to utilize advanced Reinforcement Learning methods to optimize for long-term user satisfaction, which necessitates solving intricate credit assignment issues within interactive, stateful environments; model robustness issues; and exploration/exploitation strategies. The techniques you develop will have a direct impact on a wide range of Gemini applications. Key responsibilities: + Design and implement novel multiturn RL algorithms to train collaborative LLMs. This includes exploring advanced methods for credit assignment, model robustness, and exploration/exploitation strategies. + Develop and scale our training infrastructure, building on our existing framework for training against stateful user simulators. + Formalize the problem of collaborativity by creating new metrics, environments, and evaluation methodologies that capture long-term user satisfaction and preference alignment. + Do cutting-edge research that pushes the boundaries of how agents learn from interactions with users, user simulators and other agents with diverse model behaviors. + Collaborate with research and product teams to integrate these capabilities into core Gemini products, improving tasks that require sustained interaction and user understanding. To make this effort successful, we need a strong RS who can help us deliver state-of-the-art collaborative models. We are looking for a candidate with deep expertise in reinforcement learning and large-scale ML systems. You should be passionate about solving complex, long-horizon problems and excited by the challenge of building truly adaptive and intelligent agents. About You In order to set you up for success as a Research Scientist at DeepMind, we look for the following skills and experience: + PhD in Machine Learning, Reinforcement Learning, Natural Language Processing, or a related field. + Strong data analysis and synthetic data generation skills. + Strong development skills in Python and experience with deep learning frameworks like JAX, PyTorch, or TensorFlow. + Experience building and working with large-scale ML training systems. In addition, the following would be an advantage: + Deep theoretical and practical experience in Reinforcement Learning (e. g. , policy gradient methods, value-based methods, model-based RL, credit assignment, robustness). + Experience developing and training large generative models (LLMs). + Strong track record of academic publications in top-tier conferences (e. g. , NeurIPS, ICML, ICLR, AAAI). + Familiarity with research on game theory, multi-agent systems, or learning from human feedback (RLHF/RLAIF). + Experience building or using user simulators for RL training. The US base salary range for this full-time position is between $166,000 - $291,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application Deadline: December 15, 2025 At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot Artificial Intelligence could be one of humanity's most useful inventions. At DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. About Us We aim to enhance Gemini's capabilities to become a truly collaborative partner. User intent is typically unveiled through an ongoing, interactive, and multi-step conversation, rather than a single, isolated prompt. We seek for the model to be able to proactively engage by asking clarifying questions, making timely suggestions, and automatically incorporating relevant context from past interactions and personal data. This challenge is conceptualized as an imperfect information game. The core objective is for the model to deduce a user's hidden goals and preferences through cues provided during a conversation. We plan to utilize advanced Reinforcement Learning methods to optimize for long-term user satisfaction, which necessitates solving intricate credit assignment issues within interactive, stateful environments; model robustness issues; and exploration/exploitation strategies. The techniques you develop will have a direct impact on a wide range of Gemini applications. Key responsibilities: + Design and implement novel multiturn RL algorithms to train collaborative LLMs. This includes exploring advanced methods for credit assignment, model robustness, and exploration/exploitation strategies. + Develop and scale our training infrastructure, building on our existing framework for training against stateful user simulators. + Formalize the problem of collaborativity by creating new metrics, environments, and evaluation methodologies that capture long-term user satisfaction and preference alignment. + Do cutting-edge research that pushes the boundaries of how agents learn from interactions with users, user simulators and other agents with diverse model behaviors. + Collaborate with research and product teams to integrate these capabilities into core Gemini products, improving tasks that require sustained interaction and user understanding. To make this effort successful, we need a strong RS who can help us deliver state-of-the-art collaborative models. We are looking for a candidate with deep expertise in reinforcement learning and large-scale ML systems. You should be passionate about solving complex, long-horizon problems and excited by the challenge of building truly adaptive and intelligent agents. About You In order to set you up for success as a Research Scientist at DeepMind, we look for the following skills and experience: + PhD in Machine Learning, Reinforcement Learning, Natural Language Processing, or a related field. + Strong data analysis and synthetic data generation skills. + Strong development skills in Python and experience with deep learning frameworks like JAX, PyTorch, or TensorFlow. + Experience building and working with large-scale ML training systems. In addition, the following would be an advantage: + Deep theoretical and practical experience in Reinforcement Learning (e.g., policy gradient methods, value-based methods, model-based RL, credit assignment, robustness). + Experience developing and training large generative models (LLMs). + Strong track record of academic publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, AAAI). + Familiarity with research on game theory, multi-agent systems, or learning from human feedback (RLHF/RLAIF). + Experience building or using user simulators for RL training. The US base salary range for this full-time position is between $166,000 - $291,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application Deadline: December 15, 2025 At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. About Us Model distillation is a key innovation enabling the acceleration of AI, turning large general models into small and specialized models used across the industry. However, distillation techniques can also be used to steal critical model capabilities, representing a significant threat to the intellectual property and integrity of our foundational models. The Role As part of the Security & Privacy Research Team at Google DeepMind, you will take on a holistic role in securing our AI assets. You will both identify unauthorized distillation attempts and actively harden our models against distillation. This is a unique opportunity to contribute to the full lifecycle of defense for the Gemini family of models. You will be at the forefront detecting threats in the wild and building resilience into our models. Key Responsibilities + Research Defense Strategies: Research techniques to detect distillation and techniques to actively defend against distillation. + Deploy Detection & Mitigation Systems: Design and build systems that detect abd mitigate unauthorized capability extraction. + Evaluate Impact: Rigorously measure the effectiveness of defense mechanisms, balancing the trade-offs between model robustness, defensive utility, and core model performance. + Collaborate and Publish: Work closely with world-class researchers across GDM, Google, and the industry to publish groundbreaking work, establish new benchmarks, and set the standard for responsible AI defense. About You We are looking for a creative and rigorous research scientist, research engineer, or software engineer who is passionate about trailblazing the critical field of model defense. You thrive on ambiguity and are comfortable working across the spectrum of security-from thinking like an adversary to building proactive protections. You are driven to build robust systems that protect the future of AI development. Minimum qualifications: + Ph.D. in Computer Science or a related quantitative field, or a B.S./M.S. in a similar field with 2+ years of relevant industry experience. + Demonstrated research or product expertise in a field related to model security, adversarial ML, post-training, or model evaluation. + Experience designing and implementing large-scale ML systems or counter-abuse infrastructure. Preferred qualifications: + Deep expertise in one or more of the following areas: model distillation, model stealing, security, memorization, Reinforcement Learning, Supervised Fine-Tuning, or Embeddings. + Proven experience in Adversarial Machine Learning, with a focus on designing and implementing model defenses. + Strong software engineering skills and experience with ML frameworks like JAX, PyTorch, or TensorFlow. + A track record of landing research impact or shipping production systems in a multi-team environment. + Current or prior US security clearance. The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Apply share * link Copy link * email Email a friend info_outline X This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Jose, CA, USA; New York, NY, USA; Los Angeles, CA, USA. Minimum qualifications: * PhD degree in Computer Science, a related field, or equivalent practical experience. * One or more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.). Preferred qualifications: * Master's degree or PhD in Computer Science or a related technical field. * 2 years of experience with coding. * 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, or deep learning. * 1 year of experience owning and initiating research agendas. * Experience with object detection, object tracking, or 3D vision. About the job As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. As a Research Scientist on the Extended Reality (XR) Hand Tracking team, you will build the next generation of ground-truth data infrastructure to power immersive human-computer interaction. You will research and develop advanced 3D hand capture systems, delivering the comprehensive data needed to enable real-time hand tracking on Google's future XR devices. For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap - the convergence of AI and XR. This is more than just new devices - it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences. The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Design scalable, automated pipelines to process multi-view capture data, ensuring efficient handling of 3D assets from raw capture to model training. * Research and develop algorithms for 3D hand reconstruction, ML landmark detection, and parametric model registration to create high-fidelity ground truth hand data. * Work with the team to leverage the captured data to improve the accuracy of XR hand tracking models for challenging scenarios like occlusion and hand object interaction.

_corporate_fare_ Google _place_ Sunnyvale, CA, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. **Minimum qualifications:** + PhD degree in Computer Science, a related field, or equivalent practical experience. + One or more scientific publication submission(s) for conferences, journals, or public repositories. + Coding experience in Python, JavaScript, R, Java, or C++. **Preferred qualifications:** + 2 years of coding experience in Python, JavaScript, R, Java, or C++. + 1 year of experience owning and initiating research agendas. **About the job** As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers. The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Author research papers to share and generate impact of research results across the team and in the research community. + Help in growing research business across teams by sharing research trends and best practices within the community. + Define the data structure, framework, design, and evaluation metrics for research solution development and implementation under minimal guidance. Identify timelines and obtain resources needed. + Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research with some guidance. + Contribute to conducting experiments based on the research question. Develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under minimal guidance. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

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.

Odyssey Systems has an exciting opportunity for a Research Scientist, supporting the Traumatic Brain Injury Center of Excellence (TBICoE). The TBICoE is a branch of the Research Support Division in the Research and Engineering Directorate (R&E) of the Defense Health Agency (DHA). DHA is a Federal Program within the Department of Defense (DoD). TBICoE, known previously as the Defense and Veterans Brain Injury Center (DVBIC), has been congressionally mandated since 1992 and is currently a matrixed research, dissemination, and knowledge translation program, supporting warfighter brain health and readiness by advancing the traumatic brain injury state of the science and clinical standards. ***Contingent upon contract award*** Responsibilities Duties include, but are not limited to: -Has knowledge of applicable complex scientific procedures and techniques. -Possesses excellent written and oral communication skills. -Able to troubleshoot technical procedures; ability to work independently, collaboratively, and in a supervisory capacity depending on local leadership needs. -Has excellent collaborative skills. -Able to effectively produce data for and author professional, peer reviewed journal articles, manuscripts, research grant applications, posters and research reports. -Possesses ability to work comfortably with computer software, including Microsoft Office and relevant statistical tools. ***Contingent upon contract award*** Qualifications Minimum Required Qualifications Citizenship: Must be a US Citizen. Clearance: Active T1 or T3. Education: Ph.D., MD or MD/PhD or terminal doctorate degree in related scientific discipline preferred. May consider a Master's level degree with at least 10 years of clinical TBI research experience. Years of Experience: 2-3 years of clinical research experience required. Certifications: Must complete CITI/ HIPAA training. Preferred Qualifications Years of experience: Prior experience within the DoD/VA systems of care with neurological disorders and TBI clinical research experience strongly preferred Additional Information Location: Joint Base Lewis- McChord, Washington. Travel: Possible. Remote, Onsite, or Hybrid: Onsite, 2140 Liggett Avenue, Joint Base Lewis McChord, Washington. #LI-JC1 ***Contingent upon contract award*** Company Overview Odyssey Systems is a world-class technical, engineering, and integration company serving the warfighting ecosystem with airborne integration, ISR, C2, and warfighter readiness capabilities. Odyssey meets the military's operational needs by integrating layered defense systems from equipment, technology, and services to data, information, and business operations. We streamline defense acquisition and sustainment, engineering the technical battlefield with domain-specific proficiency to ensure lethality. Odyssey is dedicated to excellent contract execution, peak organizational performance, and fostering a workplace built on employee care. Odyssey is proud to live out our core values of commitment, ambition, and respect in our work and communities through OdysseyCares, a philanthropic group focused on giving back through direct donations, an employer match program, and volunteering events. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities Please Note: Final compensation for this position will be determined by various factors such as the Federal Government contract labor categories and contract wage rates, relevant work experience, specific skills and competencies, geographic location, education, and certifications. This position is filled through continuous recruitment and will remain open until a sufficient pool of applications has been received. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, Tricare supplement, short-term disability, long-term disability, 401(k) match, flexible spending accounts, health savings accounts, employee assistance program, learning and development benefit, paid time off, and holidays. Odyssey Benefits

Research Scientist We are currently seeking an enthusiastic, innovative and motivated individual with a scientific background in oncology, neuroscience, inflammation or toxicology to join our team as a Research Scientist. In this role, you would be working on cutting edge research in the fields of tissue and organ-on-chip systems. The primary responsibilities will include planning and executing experiments, as well as analyzing and presenting data in written reports. Some immediate research areas will include designing cellular assays and microfluidic devices for organ-on chip models. In addition to on-going research projects, the scientist in this role will contribute to developing new models and assays and support proposal (and white paper) development as opportunities arise. Candidate will need to demonstrate strong communication skills while interacting with multiple stakeholders (internal and external) to shape technical solutions as well as communicate information to both customers and collaborators. Requirements: • Position requires at least a Bachelor's Degree in molecular biology, microbiology, cell biology, immunology or biological sciences - preferred candidate will have at least a Master's Degree (PhD is a plus) • Hands-on experience in primary cell culture and cell-based assays, as well as molecular biology, immunology and biochemical techniques. Additional Qualifications: Experience with designing cellular assays and microfluidics will be considered a plus. About the Company: SynVivo Inc. is a privately owned biotechnology company developing 3D tissue and organ-on-chip models with applications in drug development and personalized medicine. See more at ****************** Benefits: SynVivo offers a competitive salary and benefits including medical, vision, and dental insurance. Performance appraisals occur each year and pay increases are based upon corporate goals, personal development, performance, and outstanding achievements. In addition, individual bonuses are awarded for exceptional performance. Please forward your resume to ****************** to be considered for this position. If you would like to be considered for other positions please send us your resume at *******************.

Job Description Research Scientist We are currently seeking an enthusiastic, innovative and motivated individual with a scientific background in oncology, neuroscience, inflammation or toxicology to join our team as a Research Scientist. In this role, you would be working on cutting edge research in the fields of tissue and organ-on-chip systems. The primary responsibilities will include planning and executing experiments, as well as analyzing and presenting data in written reports. Some immediate research areas will include designing cellular assays and microfluidic devices for organ-on chip models. In addition to on-going research projects, the scientist in this role will contribute to developing new models and assays and support proposal (and white paper) development as opportunities arise. Candidate will need to demonstrate strong communication skills while interacting with multiple stakeholders (internal and external) to shape technical solutions as well as communicate information to both customers and collaborators. Requirements: • Position requires at least a Bachelor's Degree in molecular biology, microbiology, cell biology, immunology or biological sciences - preferred candidate will have at least a Master's Degree (PhD is a plus) • Hands-on experience in primary cell culture and cell-based assays, as well as molecular biology, immunology and biochemical techniques. Additional Qualifications: Experience with designing cellular assays and microfluidics will be considered a plus. About the Company: SynVivo Inc. is a privately owned biotechnology company developing 3D tissue and organ-on-chip models with applications in drug development and personalized medicine. See more at ****************** Benefits: SynVivo offers a competitive salary and benefits including medical, vision, and dental insurance. Performance appraisals occur each year and pay increases are based upon corporate goals, personal development, performance, and outstanding achievements. In addition, individual bonuses are awarded for exceptional performance. Please forward your resume to ****************** to be considered for this position. If you would like to be considered for other positions please send us your resume at *******************. Job Posted by ApplicantPro

Research Scientist We are currently seeking an enthusiastic, innovative and motivated individual with a scientific background in oncology, neuroscience, inflammation or toxicology to join our team as a Research Scientist. In this role, you would be working on cutting edge research in the fields of tissue and organ-on-chip systems. The primary responsibilities will include planning and executing experiments, as well as analyzing and presenting data in written reports. Some immediate research areas will include designing cellular assays and microfluidic devices for organ-on chip models. In addition to on-going research projects, the scientist in this role will contribute to developing new models and assays and support proposal (and white paper) development as opportunities arise. Candidate will need to demonstrate strong communication skills while interacting with multiple stakeholders (internal and external) to shape technical solutions as well as communicate information to both customers and collaborators. Requirements: * Position requires at least a Bachelor's Degree in molecular biology, microbiology, cell biology, immunology or biological sciences - preferred candidate will have at least a Master's Degree (PhD is a plus) * Hands-on experience in primary cell culture and cell-based assays, as well as molecular biology, immunology and biochemical techniques. Additional Qualifications: Experience with designing cellular assays and microfluidics will be considered a plus. About the Company: SynVivo Inc. is a privately owned biotechnology company developing 3D tissue and organ-on-chip models with applications in drug development and personalized medicine. See more at ****************** Benefits: SynVivo offers a competitive salary and benefits including medical, vision, and dental insurance. Performance appraisals occur each year and pay increases are based upon corporate goals, personal development, performance, and outstanding achievements. In addition, individual bonuses are awarded for exceptional performance. Please forward your resume to ****************** to be considered for this position. If you would like to be considered for other positions please send us your resume at *******************.

Research Innovations, Inc. (RII) is breaking through the big, slow, status quo with transformative technology that fundamentally changes and improves the world. We develop cutting-edge software for all levels of the government and military. Using agile development practices and user-centered design, we create innovative software solutions for complex real-world problems. We are seeking a dedicated Vulnerability Researcher to join our Cyber Security team. As a Vulnerability Researcher at RII, you will play a pivotal role in solving unique and challenging problems for our esteemed Defense and Homeland Security customers. This position requires a proactive mindset, deep technical expertise in vulnerability research, reverse engineering, and exploit mitigations/bypasses, and a drive to live one of our core values: Get s#!t done. This position requires an Active US Top Secret security clearance, and the ability to upgrade to TS/SCI Special Access Program access WHAT YOU WILL BE DOING Conducting in-depth reverse engineering and vulnerability analysis across various architectures and platforms, including x86/64, ARM, PowerPC, and more Researching and analyzing operating system and application internals, identifying and understanding security strengths and weaknesses of those systems Developing and enhancing functionality by adding features and capabilities to undocumented interfaces Modeling and analyzing in-memory compiled application behavior to identify potential vulnerabilities and improve security measures Developing and understanding mobile/embedded systems and kernel modules, particularly related to vulnerability research Participating actively in our extensive Vulnerability Research mentorship program, sharing knowledge and collaborating with colleagues WHAT YOU HAVE DONE Proficient understanding of wireless networking and associated security protocols, such as Wi-Fi (802.11), Bluetooth, or cellular networks (2G/3G/4G/5G). Familiarity with common vulnerabilities and attack vectors in wireless communication Strong grasp of legacy exploit mitigations and bypass techniques, including but not limited to Address Space Layout Randomization (ASLR), Data Execution Prevention (DEP/NX), Stack Cookies (Canaries), and Control Flow Integrity (CFI). Experience in identifying and circumventing these security measures In-depth knowledge of both security and network fundamentals, such as cryptography, authentication, access control, and network protocols (TCP/IP, UDP, DNS, HTTP, etc.). Understanding the security implications and potential vulnerabilities associated with these concepts Programming experience with both scripted languages (preferably Python3) and compiled languages (preferably C). Ability to write efficient and secure code for vulnerability research and exploit development purposes Familiarity with low-level architectures such as x86, ARM, or MIPS. Understanding the underlying principles, instruction sets, and memory models of these architectures for vulnerability identification and analysis Experience with operating system internals and implementations, including Windows, Linux, or mac OS. Knowledge of system structures, process management, memory management, and security mechanisms at the kernel level Excellent oral, written, and interpersonal communication skills, with the ability to effectively convey complex technical concepts and interact with customers and team members alike EVEN BETTER Experience with vulnerability research and reverse engineering of real-time operating systems (RTOS), such as FreeRTOS, QNX, or VxWorks. Understanding the unique security challenges and attack vectors specific to RTOS environments Bachelor's or postgraduate degree in Computer Science, Computer Engineering, or a related field Experience with software protection and binary armoring techniques, such as anti-debugging, code obfuscation, or tamper resistance. Understanding the methods employed to protect software from reverse engineering and vulnerability discovery Proficiency in agile development methodologies, including Scrum or Kanban, for efficient collaboration and iterative development in a cybersecurity context Familiarity with low-level iOS/Android development and associated security considerations, such as jailbreaking or rooting, application sandboxing, or secure interprocess communication (IPC) Knowledge of hypervisors and their security implications, including virtualization-based security, guest escape vulnerabilities, or hypervisor-based rootkits Proficiency in malware analysis, including static and dynamic analysis techniques, behavioral analysis, and code deobfuscation. Experience in identifying and analyzing malware samples to understand their capabilities and potential vulnerabilities Experience with constraint solving techniques, such as symbolic execution, theorem proving, or model checking, for vulnerability identification, verification, and exploit generation Background in machine learning, particularly in the context of vulnerability analysis and detection, such as using ML techniques to identify patterns in code or analyze network traffic for anomaly detection At RII, we believe that diversity in our workforce is critical to our success. We strive to hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes us stronger. We work to help your intellectual passions and creativity thrive. It's one of our core values: Let your geek flag fly. We also offer all employees comprehensive benefits including: flexible work schedules, health insurance coverage, paid time off, 401k with a company match, paid parental leave, access to wellness programs and much more. You get this all from day one, and all paid for by RII. It's all part of another of our core values: Stay human. It's why our comfortable and colorful offices such as our headquarters, include a community game room, pantry, massage chair, and an escape room, among other amenities. It's why we have community ambassadors and regular community events. Research Innovations, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, genetics, disability status, protected veteran status, age, or any other characteristic protected by state, federal or local law.

A little about us: The Lieber Institute for Brain Development (LIBD) was established in 2010 to plot a new course in biomedical research that would change the lives of individuals affected with developmental brain disorders. We are one of the only research institutions in the world focused specifically on understanding how genes and the environment influence the way our brains develop that lead to conditions such as schizophrenia, autism, bipolar disorder and related developmental brain disorders. Through our cutting-edge research, answers are emerging and being translated into a robust pipeline of new drugs in development. And, by focusing on genes and their dynamic interplay with the environment, we are getting even closer to the “holy grail” in medical research, the discovery of strategies for primary prevention. We are a group of dedicated, multidisciplinary and optimistic researchers, working at the cutting edge of science, utilizing state-of-the-art tools to unlock the mystery of the brain and transform the way we approach the development of new treatments, and ultimately cures. LIBD is an independent 501(c)(3) medical research institute located in the Bioscience Park on the campus of the Johns Hopkins School of Medicine and Hospital in Baltimore, MD. Job Summary: We are seeking an enthusiastic and self-motivated individual to join our group as a Research Associate. This position is best suited for candidates with significant experience in molecular biology, next generation sequencing, library prep, FACS sorting, and microscopy. The successful applicant will work within a dynamic team-based environment in a translational research setting with a focus on spatial transcriptomics projects in postmortem human brain tissue. Projects aim to generate transcriptome-scale maps in the human brain to understand differences in spatial gene expression in neuropsychiatric disorders. The Research Associate will thoughtfully conduct experiments, analyze data, participate in experimental design, and train junior personnel Overview of Duties: · Assist with brain tissue dissections · Cryosectioning postmortem human brain tissue · RNA extraction and qPCR · RNA-seq library construction · Nuclei isolation and FACs sorting · Immunocytochemistry and single-molecule fluorescent in situ hybridization · Confocal microscopy and slide scanning · Data analysis in MATLAB and R programming languages *This position description is intended to serve as a summary of the general purpose and essential functions of this position. It may change as circumstances warrant and may include other duties as deemed necessary by management. Requirements Professional and Education Requirements: · A B.S. degree in Neuroscience, Biology, or a closely related field is required. MS degree is preferred · Minimum 3 years of related laboratory research experience, including experience with RNA-seq is required Familiarity with any of the following is a plus: o Neuroanatomy o Confocal microscopy o Programming in MATLAB, R or Python Required Special Knowledge, Skills and Abilities: · Attention to detail and the ability to perform work carefully and efficiently is essential. · Ability to execute experiments independently · Ability to participate in experimental design and data analysis · Willingness to follow detailed technical protocols · Excellent organizational and communication skills *Applicants must currently be authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Physical Requirements: · Remaining in a seated or standing position for extended periods of time; · Reaching and grasping to manipulate objects with fingers; · Mobility, including the ability to maneuver around a laboratory setting including the ability to move materials weighing up to 25 pounds; · Communication skills using the spoken and written word; · Having the ability to receive detailed information through oral communication; · All other physical demands in a standard laboratory environment. ** If accommodations are needed due to pregnancy or a disability, please contact *************. Compensation Candidates are hired within the starting salary range for the position which is the lower portion of the overall range. The starting salary range for this position is $52k - $55k with opportunities for employee growth over time. Placement in the starting range is based on job-related skills and experience, as evaluated throughout the interview process. Benefits The Lieber Institute for Brain Development offers a competitive, comprehensive benefits package to help us attract and retain the best talent. Please visit ************************************** for more information. EEOC Statement: At the Lieber Institute, we are committed to a work environment of mutual respect where employment decisions are based on merit. As an equal opportunity employer, the Lieber Institute does not discriminate in employment opportunities on the basis of race, color, religion, color, sex, gender identity/expression, sexual orientation, pregnancy, marital status, age, national origin or ancestry, citizenship, disability (physical or mental), genetic information, military service, or other non-merit based factors protected by state or federal law or local ordinance, with regard to any position or employment for which the applicant or employee is qualified. LIEBER INSTITUTE FOR BRAIN DEVELOPMENT'S COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION The Lieber Institute for Brain Development is a transparent and collaborative community working to produce unique and imaginative patient-oriented solutions to developmental neuropsychiatric disorders. It is committed to integrating scientists from diverse disciplines, cultures, and countries into a research team that draws upon the best of its staff. The Institute is historic-it is defining a unique model for ground-breaking science. It values translational science that revolutionizes the field and improves the quality of life for those affected by mental illness. The Institute provides an environment that fosters independent growth through mentorship and a supportive, collegial community. Diverse minds, ideas, and talent are needed to support LIBD's mission. Fresh, innovative ideas and perspectives are a competitive necessity in an increasingly diverse and global marketplace. The success of the Institute's mission depends upon leveraging a diversity of talent. The Institute's commitment to diversity goes beyond compliance with laws and regulations that promote equal employment opportunity, prohibit discrimination and harassment, and support minority and woman owned businesses. To realize the advantages of its diversity, it is necessary to work effectively together even when differences challenge us to consider ideas and methods that seem impractical or make us feel uncomfortable. The Lieber Institute for Brain Development demonstrates its commitment to diversity by: Including others: Talent is not limited to those with a narrow set of industry and academic credentials. The Institute is committed to building diverse teams, inviting others to share their perspectives, seeking out a diversity of input when making decisions, questioning traditional thinking, and promoting continuous learning and development. Respecting one another: The Institute is committed to listening carefully to others, seeking consensus, engaging in active and constructive debate, thoughtfully challenging one another, and providing constructive feedback. Building trust: The Institute is committed to sharing information and resources, depending on one another to get things done, keeping promises, and conveying high integrity in all actions.

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.

Avosys is a growing integrator of professional, technological and management solutions services. Founded in 1998, Avosys provides services nationwide to Federal, Commercial, Local and State clients. We recognize the foundation of our firm is our people and we continue to rise above our competition by hiring the best. Is it your calling to serve our Nation's Heroes? Avosys is seeking a Bioinformatician to support the mission of the 711 Human Performance Wing. Maximize family time with no weekend, Holiday, or on-call requirements Maintain work-life balance with guaranteed 8-hour shifts Take advantage of our competitive, comprehensive benefits package including medical, dental, vision, life, short-term disability, long-term disability & 401(k) Responsibilities Assist in the sequence analysis of respiratory pathogen data and/or other pathogens of operational significance. Gather and interpret sequencing data. Use a wide array of computational languages in Linux/Unix, and cloud computing environments to implement bioinformatics software pipelines to manage and analyze next generation sequence data. Compile sequencing data from public databases and/or curate datasets for submission to public databases responding to issue and enhancement requests from USAFSAM investigators. Annotate code to effectively convey processes and reproducibility. Assist in the Government's development and evaluation of novel, cutting-edge diagnostic tools for the detection and characterization of respiratory viruses and other emerging pathogens. Collect, assemble, analyze and interpret large datasets of genomic sequence data using existing bioinformatics software and database systems for surveillance and/or research purposes, and evaluate the entire data collection process to assure data integrity. Research and stay abreast of cutting-edge next-generation sequencing and molecular analytic techniques. Consult with programmers and end-users concerning the outline of data requirements. Perform data archive procedures within established guidelines. Participate in publishing findings as necessary. Complete ad hoc data projects as assigned. Abide by all Federal, State and USAFSAM directives concerning the confidentiality of patient records, as embodied in federal statutes including the Privacy Act of 1974 and Health Information Portability Accountability ACT. Qualifications QUALIFICATIONS: Possess a Masters Degree in Biological Sciences, Public Health, Biocomputing, or similar field. Possess strong skills and experience with scripting, data visualization, data management, programming, and analysis tools (e.g., Linux/Unix, Python, Perl, Tableau, MS Excel, and R/R Studio). Possess expert knowledge of bioinformatics software for traditional sequence analysis, next-generation sequence assembly and analysis, and/or gene expression studies. Possess knowledge of the applicable scientific procedures and techniques to generate these data sets. Possess familiarity with network and server administration to develop and support the flow and storage of datasets and code. Possess experience with developing basic data collection tools, data dictionaries and minimum data elements preferred. Possess experience in workflow languages and containerization computing (i.e. Nextflow, Snakemake, Docker, Conda) The Contractor must have a Non-Disclosure Agreement in place with their company based on the potential access to confidential, proprietary, and/or sensitive information. The NDA shall be provided to the Government Program Manager by start of performance.