Synthetic Sciences jobs

Process Development Associate, Analytical Sciences: Synthetic and Bioconjugation Scale-Up Technologies (SBST) (1 of 2) TARRYTOWN posted: Posted 4 Days Ago

Scientist I - Early Analytical Development, Synthetic Molecules North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: For the Scientist I position, we are seeking a highly motivated candidate who can efficiently develop and optimize new methods and techniques to generate reliable and reproducible data in a timely manner and demonstrate broad versatile technical expertise. They will support early phase development of New Synthetic Molecules particularly newly emerging modalities such as peptides, siRNA, conjugatable payloads for Antibody Drug Conjugates, and small molecules , in both the preclinical- and clinical-development space and collaborate within the global Analytical R&D organization and with R&D cross-functional partners such as Pre-Clinical Safety (PCS), Process Chemistry, Process Engineering, Drug Product Development (DPD), Quality Assurance (QA), and CMC-Regulatory Affairs. This position will focus primarily on transitioning NCEs from Discovery into Development Sciences and the individual will independently serve as an Analytical Research and Development analyst to support a highly cross-functional team, which includes Discovery, Process Chemistry, Quantitative and Translational ADME Sciences (QTAS), Safety Pharmacology, Pre-Clinical Safety (PCS), and Molecular

Synthetic Chemist Wharton, NJ posted: Posted 30 Days Ago

Process Development Senior Scientist - Synthetic Peptides, Oligonucleotides, ADCs US - California - Thousand Oaks posted: Posted 14 Days Ago

Process Development Engineer II, Analytical Sciences: Synthetic and Bioconjugation Scale-Up Technologies (SBST) TARRYTOWN posted: Posted 4 Days Ago

Process Development Engineer III, Analytical Science: Synthetic and Bioconjugation Scale-Up Technologies (SBST) TARRYTOWN posted: Posted 4 Days Ago

Synthetic ISR Scenario Developer Las Vegas, NV posted: Posted 30+ Days Ago

Process Development Engineer I - Synthetic and Bioconjugation Scale-Up Technologies (SBST) TARRYTOWN posted: Posted 4 Days Ago

Process Development Associate, Synthetic and Bioconjugation Scale-Up Technologies (SBST) (1 of 2) TARRYTOWN posted: Posted 4 Days Ago

Sr Staff Engineer, Synthetic and Bioconjugation Scale-Up Technologies (PMPD) TARRYTOWN posted: Posted 4 Days Ago

Synthetics Principal Product Quality Leader 2 Locations posted: Posted 7 Days Ago

Applied Sciences Manager , Ads Brand Safety and Suitability London, England, GBR Amazon Ads Brand Safety & Suitability protects advertisers from exposure to unsafe, unsuitable, or policy-violating content across web, mobile app, CTV, and audio advertising inventory. Our mission is to ensure that every ad impression delivered through Amazon's demand-side platform appears adjacent to content that meets advertiser trust expectations while giving brands granular controls to define suitability on their own terms. We operate at the intersection of advertiser trust, publisher quality, and supply integrity. AI is fundamentally changing the content landscape. Content is now generated at unprecedented scale - faster, cheaper, and increasingly sophisticated. Low-quality, deceptive, AI-generated, and synthetic content evolves in real time, constantly adapting to evade detection. The volume and velocity of new content entering the advertising system has outpaced traditional classification approaches. We are looking for an Applied Science Manager to lead the next generation of AI-powered Brand Safety and Content Classification systems designed to protect advertisers and elevate supply quality at internet scale. This is not a traditional classification problem. Your team will build systems that make millisecond-level decisions across billions of content signals while continuously adapting to emerging content risks driven by generative AI. You will own the science roadmap for LLM-powered classification and semantic understanding, real-time multimodal content evaluation, adversarial ML and adaptive model resilience, proactive risk intelligence and content risk hunting, AI-generated and synthetic content detection, and large-scale abusive content system identification and disruption. You will define how modern AI separates high-quality

Applied Scientist, Edge AI and Science Cambridge, England, GBR Amazon Devices is an inventive research and development company that designs and engineers high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health & Wellness, Amazon Echo, and Astro products. This is an exciting opportunity to bring generative AI to Amazon's consumer products, both on-device at the edge and in the cloud. Our compression platform delivers 20x to 100x neural network compression, but using it well still takes weeks of hands-on learning and expert intuition. The Edge AI Model Studio team exists to change that. We become the expert users so partner teams don't have to: we turn compression science into reliable, production workflows, and we package the results into a library of compression-ready student architectures that partners can run on their own. Our north star is simple. Training-to-deployment should feel like pushing a button, not a month-long science project. We are looking for an Applied Scientist to join Model Studio and help compress the next generation of models for edge and cloud deployment across modalities, including large language models, vision-language models, speech and audio models, and omni models that reason jointly over text, audio, and video. You will apply and extend state-of-the-art compression recipes to real models, define the benchmarks and evaluation methodology that make trade-offs explicit, and build the reference implementations that let other teams deploy compressed models without our help. You will work backwards from deployment constraints such as memory, latency, throughput, power, and cost,

Scientist – Protein Engineering – Organic Chemist: ADC Research & Development US - California - Thousand Oaks posted: Posted 24 Days Ago

Senior Applied Scientist, Generative Artificial Intelligence (AI) Innovation Center Tokyo, JPN AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. The Generative Artificial Intelligence (AI) Innovation Center team at AWS provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies leveraging cutting-edge generative AI algorithms. As an Applied Scientist, you'll partner with technology and business teams to build solutions that surprise and delight our customers. We're looking for Applied Scientists capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities - Collaborate with scientists and engineers to research, design and develop cutting-edge generative AI algorithms to address real-world challenges - Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership - Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI - Create and deliver best practice recommendations, tutorials, blog posts, sample

Senior Scientist I Computational Chemistry North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: The Molecular Profiling and Drug Delivery (MPDD) function within the Synthetic Molecule CMC organization is accountable for a broad range of deliverables across various stages of drug discovery and development. During virtual screening/lead generation/optimization and through candidate selection, MPDD scientists utilize state of the art automation and computational tools supported by expertise in biopharmaceutics, drug delivery, and solid-state chemistry to collaboratively design and progress candidates with higher probability of success into development and advise clinical drug delivery strategy. From candidate selection through clinical proof of concept and product launch, MPDD scientists work in cross functional teams to identify the commercial solid form of the active pharmaceutical ingredient (API) and establish structure-property-performance correlations to help deliver robust commercial processes and align control strategies across drug substance and product. Computational chemists within AbbVie's MPPD organization work collaboratively with other functions within Development Sciences and Discovery Sciences across two focus areas: molecular design and profiling and formulation design across modalities. MPDD

Principal Scientist – Computational Biology & Translational AI (Oncology Precision Medicine) 2 Locations posted: Posted 30+ Days Ago

Sr. Applied Scientist, Agentic Automated Reasoning Group Boston, Massachusetts, USA The Agentic Automated Reasoning Group is building the next generation of software verification tools combining advances in artificial intelligence, the computational capacity of the cloud, and our deep expertise in the domain. Join us if you want to be a part of this transformational endeavor. The Strata team (https://github.com/strata-org) is seeking a Sr. Applied Scientist with broad interest and expertise in interactive theorem proving, programming language semantics, deductive verification and generative AI. You will combine your expertise with that of your coworkers to build new tools that solve code analysis problems previously considered beyond reach. Our application areas span all the way from Infrastructure as Code to high-performance cryptography written in assembly code, while our methods span from interactive theorem proving to automated test generation. Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. https://aws.amazon.com/security/provable-security/ Key job responsibilities - End-to-end technical leadership for delivering AR solutions working backwards customer use cases. - Identify tools and methods capable of addressing the verification needs of customers, including any novel analysis capabilities required. - Use tools spanning from fuzzers, property-based testing to model checkers, and interactive theorem provers

Sr Applied Scientist, Generative AI/ML Seattle posted: Posted 24 Days Ago

Part-time Applied Scientist, Labs, SCOT Forecasting and Labs New York, New York, USA At Amazon, our SCOT Labs team owns and operates the experimentation platform that powers randomized controlled trials (RCTs) across Supply Chain Optimization Technologies (SCOT). We are the scientific gatekeepers for policy updates that govern how Amazon buys, stores, and moves billions of units of inventory worldwide. This is not traditional A/B testing: we are building the infrastructure and methodology to causally evaluate complex and interconnected supply chain interventions. Our platform runs experiments that span millions of products and hundreds of fulfillment nodes simultaneously, measuring the real-world impact of policy changes on inventory health, customer experience, and operational cost. We are also advancing the science of causal inference in supply chain settings by developing novel approaches to treatment effect estimation, interference modeling, and emulation techniques that allow us to assess policy impact faster and more accurately than ever before. The experiments you design and the methods you build here will directly determine which policies ship to production. These decisions influence hundreds of millions of dollars in weekly inventory investments, labor allocation for tens of thousands of associates, and Amazon's overall supply chain efficiency. Beyond operational impact, this team pushes the frontier of causal experimentation methodology and contributes to the broader scientific community with publications at top venues. If you are a scientist who wants to shape how one of the world's largest supply chains makes decisions - solving causal inference challenges in real-world settings no academic lab or

Principal Research Scientist I Eng North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: R&D Process Engineering, a part of AbbVie's Development Sciences organization in Synthetic Molecules CMC (Chemistry, Manufacturing, and Controls), is responsible for designing and developing scalable processes to make drug substances and drug products, including small molecules and antibody drug conjugates (ADCs), throughout pre-clinical and clinical development stages. Responsibilities include synthetic route design, process definition, scale-up, and tech transfer for wide varieties of therapeutics and technologies to meet evolving pipeline demand. The R&D Process Engineering team also partners with Biologics CMC Development and Aesthetics R&D functions to provide active engineering support to enable robust process scale-up and manufacturing of biologics drug substances and drug products including toxins, lipid nanoparticles (LNP's), and cosmetic active ingredients (CAIs). We contribute to the development of innovative engineering technologies and create valuable intellectual property through the composition of matter, chemical processes, and technologies resulting in cost-effective commercial manufacturing processes. We support the development of the supply chain for pipeline molecules and help prepare and

Technical Program Manager, PXT Central Science Seattle, Washington, USA The Central Science Team within Amazon's People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. We are seeking a Sr. Technical Program Manager (TPM) to own and drive the Automated Causal Evaluation (ACE) platform - a self-service tool that enables program managers across Amazon to design and evaluate the causal impact of employee programs using A/B testing, matching, and synthetic difference-in-differences methods. ACE has evaluated 280+ programs across 130+ users and is expanding rapidly with new capabilities including a GenAI chatbot, API integrations, a searchable repository of past evaluations, and an ROI recommendations engine. You will work at the intersection of the ACE Science Team - economists, data scientists, and applied scientists who develop and maintain ACE's causal inference models - and the ACE Tech Team - UX researchers, software development engineers, and product managers who build and ship the platform. Your role is to ensure these teams deliver a cohesive product on time, coordinating across science development, engineering implementation, UX research, and customer-facing launches. You will manage the end-to-end program lifecycle for ACE's roadmap: scoping new capabilities with the science and product teams, translating scientific methodology into engineering requirements, developing

Scientist US - Massachusetts - Cambridge posted: Posted 14 Days Ago

Senior Scientist II – ADC Reaction Engineer North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: R&D Process Engineering, a part of AbbVie's Development Sciences organization in Synthetic Molecules CMC (Chemistry, Manufacturing, and Controls), is responsible for designing and developing scalable processes to make drug substances and drug products, including small molecules and antibody drug conjugates (ADCs), throughout pre-clinical and clinical development stages. Responsibilities include synthetic route design, process definition, scale-up, and tech transfer for wide varieties of therapeutics and technologies to meet evolving pipeline demand. The R&D Process Engineering team also partners with Biologics CMC Development and Aesthetics R&D functions to provide active engineering support to enable robust process scale-up and manufacturing of biologics drug substances and drug products including toxins, lipid nanoparticles (LNP's), and cosmetic active ingredients (CAIs). We contribute to the development of innovative engineering technologies and create valuable intellectual property through the composition of matter, chemical processes, and technologies resulting in cost-effective commercial manufacturing processes. We support the development of the supply chain for pipeline molecules and help