Principal Research Scientist jobs at Symbotic

The Selling Partner Communities (SPC) organization is dedicated to ensuring every Selling Partner (SP) achieves satisfaction with their Amazon selling experience. SPC serves as a vital bridge between sellers/vendors and Amazon, creating and managing platforms where they can connect, share knowledge, and receive help. The team's mission encompasses listening to SP feedback, advocating for experience improvements, and empowering SPs through effective, relevant, and timely communications that demonstrate Amazon's commitment to building lasting partnerships. We are seeking a Sr. Applied Scientist to join our Communities team. The successful candidate is a skilled scientist capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems. A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. Key job responsibilities The Senior Applied Scientist in the Selling Partner Communities (SPC) organization plays a crucial role in developing and implementing advanced AI and machine learning solutions to enhance the selling partner experience on Amazon. This role requires strong ownership of all technical aspects throughout the full project lifecycle, while partnering closely with the business to define requirements and exercise good judgment in balancing speed and complexity. As a senior AS on our team you will: - Handle challenging problems that directly impact millions of selling partners - Independently collect and analyze data - Design, develop and deliver scalable models, using any necessary programming, machine learning, and statistical analysis software - Collaborate with other scientists, engineers, product managers, and business teams to creatively solve problems, measure and estimate risks, and constructively critique peer research - Consult with engineering teams to design data and modeling pipelines which successfully interface with new and existing software - Participate in design and implementation across teams to contribute to initiatives and develop optimal solutions that benefit the SPC organization - Stay current with the latest research in LLMs, RL, and agent-based AI, and translate findings into practical applications. About the team The Selling Partner Communities (SPC) organization serves as a vital bridge between SPs and Amazon, creating and managing platforms where sellers can connect, share knowledge, and receive help. The team's mission encompasses listening to feedback, advocating for experience improvements, and empowering SPs through effective, relevant, and timely communications that demonstrate Amazon's commitment to building lasting partnerships. Within SPC, the Science team plays a critical role in leveraging artificial intelligence and machine learning technologies to enhance seller experiences and drive data-driven decisions. The team serves as technical advisors helping shape the organization's scientific vision and strategy, identifying and tackling intrinsically hard, previously unsolved problems that require novel scientific approaches. The team focuses on developing comprehensive frameworks for measuring and monitoring seller sentiment, improving content discovery and engagement, enhancing operational efficiency for Community Assistance Managers (CAMs), bringing clarity to complex challenges through scientific expertise, and creating AI-powered tools for content generation and validation. 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.

Are you passionate about applying machine learning and advanced statistical techniques to protect one of the world's largest online marketplaces? Do you want to be at the forefront of developing innovative solutions that safeguard Amazon's customers and legitimate sellers while ensuring a fair and trusted shopping experience? Do you thrive in a collaborative environment where diverse perspectives drive breakthrough solutions? If yes, we invite you to join the Amazon Risk Intelligence Science Team. We're seeking an exceptional scientist who can revolutionize how we protect our marketplace through intelligent automation. As a key member of our team, you'll develop and deploy state-of-the-art machine learning systems that analyze millions of seller interactions daily, ensuring the integrity and trustworthiness of Amazon's marketplace while scaling our operations to new heights. Your work will directly impact the safety and security of the shopping experience for hundreds of millions of customers worldwide, while supporting the growth of honest entrepreneurs and businesses. Key job responsibilities • Use machine learning and statistical techniques to create scalable abuse detection solutions that identify fraudulent seller behavior, account takeovers, and marketplace manipulation schemes • Innovate with the latest GenAI technology to build highly automated solutions for efficient seller verification, transaction monitoring, and risk assessment • Design, develop and deploy end-to-end machine learning solutions in the Amazon production environment to prevent and detect sophisticated abuse patterns across the marketplace • Learn, explore and experiment with the latest machine learning advancements to protect customer trust and maintain marketplace integrity while supporting legitimate selling partners • Collaborate with cross-functional teams to develop comprehensive risk models that can adapt to evolving abuse patterns and emerging threats About the team You'll be working closely with business partners and engineering teams to create end-to-end scalable machine learning solutions that address real-world problems. You will build scalable, efficient, and automated processes for large-scale data analyses, model development, model validation, and model implementation. You will also be providing clear and compelling reports for your solutions and contributing to the ongoing innovation and knowledge-sharing that are central to the team's success. BASIC QUALIFICATIONS- 4+ years of building machine learning models for business application experience - PhD, or Master's degree and 3+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - 4+ years of applied research experience 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

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

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.

General Notes This is a grant funded position with an end date 1 year from the start date. The position is renewable based upon availability of funding, work performance, and progress toward goals with the option to continue until August 31, 2029, if renewed. Note: This candidate must be authorized to work in the United Stated without sponsorship. Purpose The Kowalski Lab at the University of Texas at Austin invites applications for a Postdoctoral Fellow position focused on developing advanced, AI-enabled methods for clinical decision support in precision oncology. The fellow will work at the intersection of computational innovation, translational science, and patient-centered care, contributing to pioneering efforts in integrating multi-modal data for individualized cancer therapy selection. The lab leads multi-institutional projects combining clinical, molecular, proteomic, and other published data to build explainable and scalable decision-support systems. These systems are designed to bridge gaps in personalized treatment for patients with rare, resistant, or genomically un-targetable cancers. Responsibilities Design and evaluate algorithms for treatment and response matching using integrated clinical and molecular datasets. Develop knowledge graphs and multimodal embeddings for cancer patient digital twin construction. Lead and co-author high-impact publications and grant proposals. Collaborate with clinicians, bioinformaticians, and data scientists across UT Austin, and other partners. Mentor graduate and undergraduate research assistants and contribute to lab leadership. Learning Opportunities: Develop and deploy innovative AI models for treatment discovery and patient-specific decision support. Gain experience in translational research across clinical, academic, and technology domains. Participate in lab initiatives aligned with NCI, CPRIT, and NIH-funded projects. Required Qualifications PhD in computational biology, bioinformatics, computer science, information science, biomedical engineering, or a related field. PhD must have been received within the last three years, 1 year of experience with machine learning, natural language processing, AI tools and frameworks, data integration, and/or explainable AI. Proficiency in Python and R for use in data science and modeling. Excellent writing and communication skills; demonstrated publication record. Preferred Qualifications Knowledge of cancer biology, clinical oncology workflows, or multi-omics data. Salary Range $62,232+ depending on NIH level Working Conditions Standard office equipment Repetitive use of a keyboard Required Materials Resume/CV 3 work references with their contact information; at least one reference should be from a supervisor Letter of interest Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.

At Two Six Technologies, we build, deploy, and implement innovative products that solve the world's most complex challenges today. Through unrivaled collaboration and unwavering trust, we push the boundaries of what's possible to empower our team and support our customers in building a safer global future. Two Six Technologies is seeking a Principal Vulnerability Researcher with active Top Secret Clearance to join our team in Arlington, Virginia. The team is growing and looking for someone with a reverse engineering and vulnerability research background who understands how to transition those findings into capabilities to support national security missions. The team wants to talk to you if you actively perform in-depth Linux-based reverse engineering! What you will do: Collaborate with team to align capability development roadmaps and complete transfer of vulnerability research prototypes into production environments perform reverse engineering and vulnerability analysis, informing operational parameters for complex system Conducting in-depth reverse engineering and vulnerability analysis across various architectures and platforms Modeling and analyzing in-memory compiled application behavior to answer customer requirements Assist with the forward development of technical solutions Train & mentor junior engineers What you will need (Basic Qualifications): Bachelor's (or higher) degree in computer science, engineering, or a related field (solid knowledge in RE or VR may substitute for a specific degree) Extensive experience developing, debugging, and scripting in C/C++ and Python within Linux command-line environments, with a strong emphasis on low-level programming, memory management, and system interaction for reverse engineering and vulnerability research. Experience with reverse engineering and vulnerability research, using tools such as IDA Pro, Binary Ninja, or Ghidra. Active US Security clearance of Top Secret level and ability to obtain and maintain SCI Must be willing to obtain and maintain a Polygraph clearance Nice If You Have (Preferred): Strong familiarity with cybersecurity principles and a strong interest in providing guidance to program staff Experience with software reverse engineering concepts: static analysis, dynamic analysis, fuzzing techniques creating intellectual capital, white papers, blogs, etc. to maintain existing and expand new business. Familiarity with building or securing embedded devices, other digital systems, and embedded binary reverse engineering (ARM, RTOS, etc.) Familiarity with basic cryptography design and implementation concepts Previous experience in a client-facing technical role Security Clearance: Active US Security clearance of Top Secret level and ability to obtain and maintain SCI Must be willing to obtain and maintain a Polygraph clearance #LI-ZS1 #LI-ONSITE Two Six Technologies is committed to providing competitive and comprehensive compensation packages that reflect the value we place on our employees and their contributions. We believe in rewarding skills, experience, and performance. Our offerings include but are not limited to, medical, dental, and vision insurance, life and disability insurance, retirement benefits, paid leave, tuition assistance and professional development. The projected salary range listed for this position is annualized. This is a general guideline and not a guarantee of salary. Salary is one component of our total compensation package and the specific salary offered is determined by various factors, including, but not limited to education, experience, knowledge, skills, geographic location, as well as contract specific affordability and organizational requirements. Salary Range$151,400-$306,800 USD Looking for other great opportunities? Check out Two Six Technologies Opportunities for all our Company's current openings! Ready to make the first move towards growing your career? If so, check out the Two Six Technologies Candidate Journey! This will give you step-by-step directions on applying, what to expect during the application process, information about our rich benefits and perks along with our most frequently asked questions. If you are undecided and would like to learn more about us and how we are contributing to essential missions, check out our Two Six Technologies News page! We share information about the tech world around us and how we are making an impact! Still have questions, no worries! You can reach us at Contact Two Six Technologies. We are happy to connect and cover the information needed to assist you in reaching your next career milestone. Two Six Technologies is an Equal Opportunity Employer and does not discriminate in employment opportunities or practices based on race (including traits historically associated with race, such as hair texture, hair type and protective hair styles (e.g., braids, twists, locs and twists)), color, religion, national origin, sex (including pregnancy, childbirth or related medical conditions and lactation), sexual orientation, gender identity or expression, age (40 and over), marital status, disability, genetic information, and protected veteran status or any other characteristic protected by applicable federal, state, or local law. If you are an individual with a disability and would like to request reasonable workplace accommodation for any part of our employment process, please send an email to accommodations@twosixtech.com. Information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations. Additionally, please be advised that this business uses E-Verify in its hiring practices. By submitting the following application, I hereby certify that to the best of my knowledge, the information provided is true and accurate.

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.

. . . . . GROWTH OPPORTUNITY BIOPHYSICAL CHEMISTRY | BIOCHEMISTRY MISSION STATEMENT: Develop BioPhysical and Biochemical Assays for screening and characterizing small molecules. Do your skills include the following? Biophysical methods: SPR for determining small molecule affinity to protein targets Biochemical assays: develop, analyze and troubleshoot (e.g. FRET, FP, AlphaScreen/LISA, ADPGlo) Protein characterization techniques: size exclusion chromatography, dynamic light scattering, DSF, TSA If you are answering YES - - Reach out to learn more about this exciting new opportunity: Call: ************ or Schedule a time: ******************************** or Email: ************************* Visit our Company Website - ************************ Visit our Career Opportunities Page - *****************************

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.

General information Location Cambridge, MA Ref # 43395 Job Family Research Date published 12/09/2025 Time Type Full time Pay Range 100,000 - 140,000 Usd Annual Description & Requirements The Broad Institute of MIT and Harvard is the world's leading biomedical research institute dedicated to the bold mission of using the full power of genomics to transform the understanding and treatment of disease. We seek to describe all of the molecular components of life and their connections; discover the molecular basis of major human diseases; develop effective new approaches to diagnostics and therapeutics; and disseminate discoveries, tools, methods, and data openly to the entire scientific community. We are seeking a highly motivated and innovative scientist to lead collaborative initiatives in partnership with the Cancer Dependency Map and Cancer Cell Line Factory programs and the Sellers and Getz labs at the Broad Institute. The primary goal of this role is to develop advanced laboratory cellular models to enable functional genomics, drug screening, and drug resistance studies. Our current focus is on deriving 3D models for pediatric and rare cancers, with an initial pilot to generate cancer-resistant cell lines for major oncology drugs. This work will lay the foundation for expanding cancer cell line diversity through additional grant funding and external collaborations. The ideal candidate will be a proactive, curious scientist with a strong background in cell biology, patient-derived cancer models, drug resistance research, and platform development. This position also offers the opportunity to build leadership skills while working closely with Senior Group Leaders. Qualified candidates should have: A Ph.D.in a biological science (such as cell biology, biochemistry, cancer biology, or a related field) and a completed or soon-to-be-completed postdoctoral fellowship in a similar field. 2+ years of experience as a postdoc or in the industry. Excellent organizational and time management skills with strong attention to detail. Experience in cell biology with a focus on method development, team management, and mentoring junior research associates is highly desirable. Required Skills: Self-motivated and curious, with the ability to lead scientific research effectively. Demonstrated excellent problem-solving and communication skills with leadership, colleagues, and junior research associates. Track record of independently delivering scientific results. Expertise in molecular and cell biology techniques, including flow cytometry, immunofluorescence staining, Western blotting, ELISA, HTS cell culturing, 3D cell culturing, drug testing, etc. Impeccable and efficient experimental design, assay development, and execution. Strong commitment to "leading from the bench". Excellent interpersonal, written, and oral communication skills, perform detailed data analysis, and accurate record-keeping to support the cell model team members. Extensive experience in following and improving assay protocols is preferred. Responsibilities: Lead experimental design for cell model development, implement newly developed protocols, and conduct proof-of-concept studies to evaluate feasibility and optimize workflows. Serve as the technical lead and subject matter expert for cell model development efforts, driving strategic improvements to enhance efficiency, success rates, and overall platform capabilities. Validate cell models through sequencing technologies and oversee model fidelity assessments using flow cytometry, immunofluorescence, western blotting, and other relevant assays in collaboration with internal Scientists and Research Associates. Lead drug resistance modeling projects to establish oncology drug-resistant clones for functional genomics analyses. Manage and mentor Research Associates, fostering scientific and professional growth while ensuring high-quality data generation. Collaborate with Sellers Lab, Getz Lab, Cancer Dependency Map, PRISM drug screening, Cancer Genomics, and Cancer Data Sciences teams to advance research initiatives and share expertise. Coordinate closely with cancer genomics core staff to integrate experimental data with genomic insights for comprehensive analysis and interpretation. Identify opportunities for platform innovation and expansion to address emerging scientific needs and challenges. Partner with internal teams on large-molecule discovery and validation efforts to support broader oncology research goals. The expected base pay range for this position as listed above is based on a 40 hour per week schedule. Broad provides pay ranges representing its reasonable and good faith estimate of what the organization reasonably expects to pay for a position at the time of posting. Actual compensation will vary based on factors including but not limited to, relevant skills, experience, education, qualifications, and other factors permissible by law. At Broad, your base pay is just one part of a comprehensive total rewards package. From day one, this role offers a competitive benefits package including medical, dental, vision, life, and disability insurance; a 401(k) retirement plan; flexible spending and health savings accounts; at least 13 paid holidays; winter closure; paid time off; parental and family care leave; and an employee assistance program, among other Broad benefits. The Broad Institute is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, disability, protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. Should you need a reasonable accommodation to complete the application or interview process, please contact ***************************** for assistance.

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.

We are seeking a highly motivated and innovative Scientist to support the discovery and development of gene therapies for rare genetic diseases. The candidate is expected to have proven practical technical capability and experience in, cell culture and cell based assays, protein purification and analytical assays. She/he should be scientifically motivated and capable of critically analyzing and interpreting data and reporting experimental results. Strong presentation and communication skills and the ability to work in a fast-paced and team-oriented environment will be vital. The position will support the development of a pipeline of gene therapy - associated product concepts while working in a cross- functional and collaborative environment Skills: • Experience with mammalian cell culturing techniques and cell based assays. • Experience with PCR, qPCR, Southern / Western blotting, Experience with FPLC / HPLC systems. • Ability to work in a team orientated, collaborative environment Strong communication and presentation skills • Prior experience with production and purification of AAV vectors is a plus Keywords: Education: BS/MS with a minimum of 8 years of related experience Qualifications BS/MS with a minimum of 8 years of related experience

We are seeking a highly motivated and innovative Scientist to support the discovery and development of gene therapies for rare genetic diseases. The candidate is expected to have proven practical technical capability and experience in, cell culture and cell based assays, protein purification and analytical assays. She/he should be scientifically motivated and capable of critically analyzing and interpreting data and reporting experimental results. Strong presentation and communication skills and the ability to work in a fast-paced and team-oriented environment will be vital. The position will support the development of a pipeline of gene therapy - associated product concepts while working in a cross- functional and collaborative environment Skills: • Experience with mammalian cell culturing techniques and cell based assays. • Experience with PCR, qPCR, Southern / Western blotting, Experience with FPLC / HPLC systems. • Ability to work in a team orientated, collaborative environment Strong communication and presentation skills • Prior experience with production and purification of AAV vectors is a plus Keywords: Education: BS/MS with a minimum of 8 years of related experience Qualifications BS/MS with a minimum of 8 years of related experience