Senior Development Scientist jobs at Danaher - 346 jobs

Principal Scientist, Protein Sciences, Analytical Characterizations September 2025 Department: Technology TCG Labs-Soleil is seeking a highly experienced and driven Principal Scientist to lead our analytical efforts and join our multidisciplinary Protein Sciences group within the biologics Technology team. This critical role will lead the developability assessment efforts for our biologics research programs. They will design, execute, and interpret analytical and biophysical characterizations in support of a diverse protein and antibody focused pre-clinical therapeutic pipeline. The ideal candidate will have a proven track record of leading complex R&D projects, mentoring research scientists, and contributing to the strategic direction of the Protein Sciences group. This candidate will have a ‘can-do' attitude and lead from the bench. Responsibilities: Design, develop, and implement analytical methods for the characterization ofdiverse biologicswith an emphasis on LC-MS and biophysical characterization to drive discovery programsthrough the research pipeline. Establish and validate robust biophysical assays to characterize therapeutic biologics (monoclonal antibodies, bispecific antibodies, fusion proteins, etc.) Design and execute experiments,make detailed observations, analyze and interpret data, and deliver results in a concise and timely manner to the team. Manage CROs and external collaborations on analytical development. Prepare precise technical summaries, protocols, and maintain appropriate documentation. Deliver concise data summaries to leadership and ensure clear communication with the development team. Lead program analytics efforts to support program progression. This is a full-time and lab-based position. Qualifications: Ph.D. (or equivalent) in biochemistry, biophysics, analytical chemistry, or a related field, offering 10+ years of monoclonal and multispecific antibody characterization experience in biotech or startup environments. Demonstrated leadership managing scientific teams and mentoring direct reports to drive performance and growth. Deep technical expertise in biophysical methods, including HPLC, CE, SPR, DSF, DSC, SEC-MALS, and LC-MS. Strong foundation in protein analytics, with extensive hands-on PTM characterization of biologic therapeutics. Proven track record in developability studies across monoclonal & multispecific antibodies, fusion proteins, and antibody-drug conjugates (ADCs). Comprehensive understanding of biologics drug discovery-from hit-to-lead through lead optimization to candidate selection stages. Research-driven mindset with a clear orientation toward translating findings to deliver therapeutic solutions. Experienced in CMC development processes and contributing to IND filing initiatives (highly desirable). Meticulous in data organization, adept at managing multiple projects simultaneously while maintaining high standards of quality. Exceptional written and oral communication skills for clear presentation of complex scientific data. Flexible team collaborator, rapidly adapting to new scientific domains and mastering new techniques. Proven ability to thrive and achieve results in fast-paced, dynamic, multitasking environments. Company Overview TCG Labs-Soleil, established in partnership with The Column Group , a science-focused venture capital firm, is pioneering a novel ‘venture capital-biotech' model. Our core mission is to efficiently translate scientific insights into therapeutic solutions for patients facing serious diseases. This model supports scientific entrepreneurs from the initial idea to clinical proof of concept (PoC) by combining a dedicated fund (TCG Labs) with our independent, evergreen R&D center led by a top-tier scientific team (Soleil). Together, we create an integrated ecosystem that fosters the development of single-asset portfolio companies, strategically poised for transacting after clinical PoC. For more details, visit TCGLSoleil.com and follow us on LinkedIn EEO Statement TCG Labs-Soleil is an Equal Opportunity Employer. We do not discriminate against qualified applicants based upon any protected group status, including but not limited to race, religion, color, creed, sex (including breastfeeding and related conditions), gender identity/gender expression, pregnancy (including childbirth and related conditions), national origin, ancestry, age, marital status, military or veteran status, sexual orientation, genetic information, physical or mental disability or medical condition as defined by applicable equal opportunity laws. Any request for accommodation can be directed to **********************. Benefits and Compensation TCG Labs-Soleil provides a competitive benefits package that includes access to Medical, Dental, and Vision Insurance, Life Insurance, Short and Long Term Disability, Health Savings Account (HSA), Flexible Spending Accounts (FSA), 401k plan and PTO. The anticipated salary range for fully qualified candidates applying for this role will be $140,000 - $250,000 annually (not including discretionary bonus, equity, and benefits). The final salary offered will be dependent on several factors that include but are not limited to relevant previous experience including duration and type of experience within the industry, education, and internal equity. Staffing Agencies TCG Labs-Soleil does not accept unsolicited agency resumes and will not pay fees to any third-party agency or firm that doesn't have a signed agreement with TCG Labs-Soleil. Please do not send agency CVs/resumes through TCG Labs-Soleil website or TCG Labs-Soleil Employees. Inquiries must be sent to ********************** with the Subject Heading: Staffing Agency Request. #J-18808-Ljbffr

AI Researcher ai Hum.ai is building planetary superintelligence. Backed by top funds, we've raised $10M+ and are now heads down building. Join us at the cutting edge, where we're scaling generative transformer diffusion models, designing next-gen benchmarks, and engineering foundation models that go far beyond LLMs. You'll be at the core of a moonshot journey to define what's next in agentic AI and frontier model capabilities. We are looking for an experienced AI Researcher who is eager to advance the frontier of AI, help us design, build, and scale end-to-end novel foundation models, and leverage their hands‑on experience implementing a wide range of pre‑training and post‑training models, including large foundation models (beyond just LLM fine‑tuning). Who are we? Hum is a seed‑funded startup on a mission to create positive impact through earth observation and AI. Founded at the University of Waterloo by a team of PhDs and engineers, we're backed by some of the best AI and climate tech investors like HF0, Inovia Capital and Propeller Ventures, angels like James Tamplin (cofounder Firebase) and Sid Gorham (cofounder OpenTable, Granular), and partners like Amazon AWS and the United Nations. What do we do? We're building multimodal foundation models for the natural world. We believe there's more to the world than the internet + more to intelligence than memorizing the internet. Our models are trained on satellite remote sensing and real‑world ground truth data, and are used by our customers in nature conservation, carbon dioxide removal, and government to protect and positively impact our increasingly changing world. Our ultimate goal is to build AGI of the natural world. The role will involve: Research & Design: Deep understanding of current machine learning research. Proven track record of generating new ideas or enhancing existing ones in machine learning, evidenced by first‑author publications or projects. Contribute to research that uncovers the semantics of large datasets, with a focus on earth observation and remote sensing data. Ability to independently manage and execute a research agenda, selecting impactful problems and conducting long‑term projects autonomously. Implementation: Developing high‑level proof‑of‑concept (POC) models. Experimenting with new state‑of‑the‑art techniques to surpass existing models. Plan and execute innovative research and development to push the boundaries of current technology. Writing and Publication: Assisting in the preparation and writing of technical and scientific papers for publication. Demonstrated strong scientific communication/presentation skills. Requirements PhD degree in computer science, engineering, a related field, or equivalent experience. Proven track record of successful machine learning research projects. 5+ years of experience in relevant jobs. Strong scientific understanding of the field of generative AI. Location wise, strong preference for in‑person in San Francisco. We are an entirely in‑person team, but are willing to consider remote for exceptional candidates. Nice to have Proficiency in scripting languages such as Python, Bash, or PowerShell. Demonstrated experience with deep learning and transformer models. Familiarity with designing, training, and fine‑tuning large models. Proficiency in frameworks like PyTorch or TensorFlow. Strong technical engineering skills. Previous experience in creating high‑performance implementations of deep learning algorithms. Team player, willing to undertake various tasks to support the team. #J-18808-Ljbffr

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data‑driven decision‑making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The LLM Customization team is on the cutting edge of GenAI and at the center of bringing our vision for AI at Capital One to life. The work of the AI Training Team touches every aspect of the model development life cycle and our deployed models in production drive business impact with visibility from our C‑Suite. Our team creates unprecedented amounts of high quality data for training and testing GenAI models; we care about how it's created, what's in those datasets, and the impact they have We are invested in building capabilities for evaluating and monitoring generative models; these methods must be state of the art, easy to use, and trusted by our users and contributors Horizontal capabilities enable vertical use case work; the team builds search, summarization, RAG, and agentic workflows for integration in production applications across the company We learn from our colleagues, attend conferences, publish papers, and maintain strong connections to the research community. In this role, you will: Partner with a cross‑functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state‑of‑the‑art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands‑on experience working with LLMs and solutions using open‑source tools and cloud computing platforms. Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non‑technical audiences. You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as training optimization, self‑supervised learning, explainability, RLHF. You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications Master's Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) At least 1 year of experience working with AWS At least 3 years' experience in Python, Scala, or R At least 3 years' experience with machine learning At least 3 years' experience with SQL Capital One will consider sponsoring a qualified applicant for employment authorization for this position. The minimum and maximum full‑time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part‑time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Principal Associate, Data Science New York, NY: $173,000 - $197,400 for Principal Associate, Data Science San Jose, CA: $173,000 - $197,400 for Principal Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Learn more at the Capital One Careers website. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901‑4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations concerning criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1‑************ or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to **********************. Capital One does not provide, endorse nor guarantee and is not liable for third‑party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). #J-18808-Ljbffr

Principal Associate, Data Scientist - US Card Upmarket Acquisition. Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The US Card Data Science team builds industry leading machine learning models to empower core underwriting decisions in the acquisitions and management of new and existing credit card customers. We collaborate closely with cross‑functional partner teams including data engineers, platforms engineers, product managers, and credit and business analysts to deliver solutions from ideation to implementation. We own the full life cycle of our models - development, deployment, monitoring, governance, and ongoing usage expansion and releases. We are a team of creative problem solvers, continually challenging the status quo to keep our models dynamic, adaptive, robust, and smarter. Role Description In this role, you will: Partner with a cross‑functional team of data scientists, software engineers, and product managers to deliver a product customers love. Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal insights from large volumes of numeric and textual data. Build machine learning models from idea to implementation, including designing and executing experiments, developing and iterating on models, and deploying production‑ready solutions that impact business outcomes. Translate the complexity of your work into tangible business goals using strong interpersonal communication. The Ideal Candidate is Statistically-minded: has built, validated, and backtested models; familiar with confusion matrices, ROC curves, clustering, classification, sentiment analysis, time series, and deep learning. Technical: comfortable with open‑source languages and experienced in developing and deploying production‑ready data science solutions using open‑source tools and cloud platforms. Customer first: focused on making the right decisions for customers and translating analysis into value. A data guru: comfortable retrieving, combining, and analyzing data from diverse sources and structures; understands that data understanding is key to great data science. Basic Qualifications Currently has, or is in the process of obtaining, a Bachelor's Degree plus 5 years of experience in data analytics, or a Master's Degree plus 3 years of experience, or a PhD plus 1 year of experience, with the degree expected on or before the start date. At least 1 year of experience in open source programming languages for large‑scale data analysis. At least 1 year of experience with machine learning. At least 1 year of experience with relational databases. Preferred Qualifications Master's Degree in a STEM field plus 3 years of experience in data analytics, or PhD in a STEM field. At least 1 year of experience working with AWS. At least 3 years of experience in Python, Scala, or R for large‑scale data analysis. At least 3 years of experience with machine learning. At least 3 years of experience with SQL. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full‑time annual salaries for this role are listed below, by location. Salaries are for candidates hired to work within the specified locations and refer to the amount Capital One is willing to pay at the time of posting. Salaries for part‑time roles will be prorated based on hours worked. Chicago, IL: $144,200 - $164,600 for Principal Associate, Data Science; McLean, VA: $158,600 - $181,000 for Principal Associate, Data Science. Candidates hired to work in other locations will be subject to the pay range for that location and the offer letter will reflect the actual amount. This role is eligible for performance‑based incentive compensation, which may include cash bonuses and/or long‑term incentives (LTI). Incentives may be discretionary or non‑discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits. Learn more at the Capital One Careers website. Eligibility varies based on full/part‑time status, exempt/non‑exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) and adheres to applicable laws regarding criminal background inquiries. If you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. Capital One does not provide, endorse, or guarantee third‑party products or services and is not liable for information available through this site. Capital One Financial is made up of several entities. Positions posted in Canada, the United Kingdom, or the Philippines are for Capital One Canada, Capital One Europe, or Capital One Philippines Service Corp., respectively. #J-18808-Ljbffr

Principal Associate, Data Scientist - People Tech Innovation Hub Data is at the center of everything we do. As a startup, we disrupted the credit card industry by personally personalizing offers using statistical modeling and the relational database, evolving into a Fortune 200 company focused on data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team leading the next wave of disruption at a new scale, using modern computing and machine learning technologies and operating across billions of customer records to unlock opportunities that help people save money, time and effort in their financial lives. Team Description A Call to Innovators! Capital One\'s People Technology Innovation Lab is hiring a Data Scientist to translate raw data into game-changing insights and products. We don\'t just use data; we make it a strategic asset. You'll tackle complex, high-impact problems using technologies like Generative AI and Knowledge Graphs to transform the employee experience. You\'ll move beyond incremental improvements and help deliver disruptive, innovative use cases that shape how Capital One works and evolves. If you thrive on technical challenges, product ownership, and leveraging a diverse tech stack to reveal insights in massive datasets, join us as a core driver of innovation culture. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal insights from large volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Translate the complexity of your work into tangible business goals through strong interpersonal skills The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies and stay current on state-of-the-art methods, technologies, and applications, applying them where appropriate. Creative. You thrive on solving big, undefined problems and are not afraid to share new ideas. Statistically-minded. You\'ve built and validated models, interpreted evaluation metrics, and have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. You can retrieve, combine, and analyze data from diverse sources and structures; understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor\'s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master\'s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master\'s Degree in a STEM field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in a STEM field At least 1 year of experience working with AWS At least 3 years' experience in Python, Scala At least 3 years' experience with machine learning At least 3 years' experience with SQL At least 1 year of experience working on RAG (retrieval augmented generation) based AI workflows, evaluating the output of GenAI models Experience working with vector databases to index text using chunking and embedding models Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries are provided for candidates hired to work within these locations and may be reflected in the offer letter. Salaries for part-time roles will be prorated based on hours. Locations and ranges: Plano, TX: $144,200 - $164,600 McLean, VA: $158,600 - $181,000 Richmond, VA: $144,200 - $164,600 Riverwoods, IL: $144,200 - $164,600 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary offered will be reflected in the offer letter. This role is also eligible to earn performance-based incentive compensation, which may include cash bonuses or long-term incentives. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full- or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with applicable laws and regulations. If you require accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information provided will be kept confidential and used only to provide needed reasonable accommodations. Careers inquiries: for technical support or questions about Capital One\'s recruiting process, please email **********************. Capital One does not provide, endorse nor guarantee third-party products or services available through this site. Capital One Financial is made up of several entities. Positions posted in Canada, the United Kingdom, or the Philippines correspond to the respective Capital One entity. #J-18808-Ljbffr

Source One is a consulting services company and we're currently looking for the following individual to work as a consultant with our direct client, a global pharmaceutical manufacturing client in Summit, NJ . No Third-Party, No Corp to Corp, No Sponsorship Now or Future Title: Product Development Scientist - Formulation Location: Skillman NJ Hybrid Work Locations; Skillman, NJ 4 days/week then in Summit, NJ 1 day per week. Hours: 8:30am to 5:00pm (Monday through Friday). May fluctuate based on needs. Contract Duration: 10 months, with likely extension Pay Rate: $43.28 per hour (w2) *PLEASE NOTE: Apply only if you have FORMULATION Experience this is required Job Description: Consumer Products - Skin Health A Product Development Scientist role involves a wide range of activities, including developing and optimizing new product formulations and processes, conducting laboratory testing and evaluations. Key responsibilities include batching several iterations, ensuring technical accuracy in product development through stability studies, and documentation. Working with the team, time management, attention to detail, strong analytical skills, strong communication, following the timeline. FORMULATION Experience is required BA Degree 2 to 4 years' experience

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. Role As a Principal Technical Lead in Trajectory Generation within the Embodied AI organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions directly impacting autonomous driving performance. Your role is pivotal in designing, architecting, and deploying advanced ML models to reliably and safely navigate diverse real-world scenarios and conditions. You'll lead critical technical initiatives, collaborate closely with cross-functional teams, mentor ML engineers, and significantly shape the future of onboard ML capabilities. What You'll Do Design and implement technologies that align our models to GM's mission. Apply techniques such as RL, guidance, and selection to raise the performance of our models and provide a layer safety and reliability. Collaborate with cross-functional teams to integrate & align distillation recipes of Robotics foundation models for onboard driving models. Conduct research and stay updated on the latest advancements in AI frameworks and libraries. Lead projects from ideation to deployment, documenting learnings and best practices along the way. Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement. Your Skills & Abilities Bachelor's, Master's or PhD degree in Computer Science with a focus in Robotics and or Machine Learning, or a related field. Proven experience working with large-scale Foundation Models and alignment methods to translate research into real-world impact. Proven experience delivering applied research in the wild and maintaining best practices while working on tight deadlines. Proficiency in frameworks such as PyTorch and languages such as python. Proven experience in building and scaling large model training pipelines that are performant and enable quick iteration by distributed teams. Strong data processing skills using tools like Numpy, Pandas, and Apache Spark. Excellent communication skills to effectively collaborate with diverse teams and stakeholders. Experience deploying foundation models into production environments and understanding the end-to-end process. Previous experience in Robotics or Autonomous Driving. Compensation The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. The salary range for this role is $ 269,400.00 to $412,600.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This job may be eligible for relocation benefits. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. #J-18808-Ljbffr

Our AI Research team is building end-to-end robot policies that enable dexterous manipulation in real‑world environments. We are advancing embodied AI by integrating multimodal perception, robot learning architectures, and physical execution systems to solve manipulation, autonomy, and simulation challenges at an industrial scale. As a Principal Applied Scientist, you will define technical direction, create breakthrough robot learning methodologies, and drive the execution of large‑scale initiatives that deliver end‑to‑end manipulation policies. You will architect new model families, lead cross‑functional research efforts, and guide teams in transitioning scientific advances into reliable robotic capabilities deployed in real systems. What You'll Do Define the research strategy and technical roadmap for embodied manipulation policies that span perception, training, control, and deployment. Invent or advance robot learning architectures (e.g., diffusion‑based policies, ACT‑style agents, multimodal embodied transformers) to enable robust dexterous manipulation. Architect end‑to‑end policy systems from multimodal sensing to hardware control, across simulation and real environments. Establish standards for data generation, demonstrations, simulation fidelity, evaluation, and sim‑to‑real adaptation for manipulation tasks. Guide cross‑functional efforts to scale robot learning from prototypes to production, including reliability constraints, observability, and performance guarantees. Mentor scientists and engineers, influence hiring, and shape research priorities within the organization. Represent GM in external communities (e.g., CoRL, RSS, ICRA, NeurIPS), pursue collaborations, and drive thought leadership in embodied AI. Required Qualifications PhD in a relevant STEM field, with a recognized track record in robotics, robot learning, or embodied AI. Significant experience designing and deploying robot learning systems on physical hardware, including manipulation tasks and real‑time policy execution. Expertise in modern AI architectures (Transformers, diffusion models, VLM/VLA agents, imitation learning, offline RL) and ability to extend them to new embodied scenarios. Mastery of PyTorch, including model internals, performance optimization, distributed training, and debugging complex failures. Hands‑on experience with ROS/ROS2, motion planning stacks, and integration of ML components into robotic platforms. Evidence of high‑impact contributions: top‑tier publications, influential open‑source efforts, field deployments, or foundational algorithms. Proven ability to lead ambiguous multi‑disciplinary research programs and deliver tangible embodied AI outcomes. Preferred Qualifications Experience establishing research agendas in robot learning or dexterous manipulation that resulted in widely adopted systems or protocols. Leadership of projects involving perception → policy → control integration, staged training, or multi‑robot deployment. Deep expertise in at least one advanced area: Dexterous manipulation / affordance‑driven action Multi‑step task sequencing / long‑horizon reasoning Offline RL or imitation learning at scale Physics‑informed or tactile‑informed policies Foundation models for embodied agents Strong industry or academic presence: invited talks, program committees, major open‑source contributions, or collaborations with robotics research institutions. Why Join Us You will shape how robots behave in the physical world-designing the foundational learning systems that enable dexterous, autonomous manipulation across GM's future robotics platforms. Location This role is categorized as hybrid. The successful candidate is expected to report to the MTV office three times per week or any other frequency dictated by the business. Compensation Compensation information is a good‑faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is 259,000 to 320,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Company Vehicle Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. Relocation This job may be eligible for relocation benefits. #J-18808-Ljbffr

* Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love* Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data* Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation* Flex your interpersonal skills to translate the complexity of your work into tangible business goals* Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.* Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.* A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.* A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics* A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics* A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)* Master's Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)* At least 1 year of experience working with AWS* At least 3 years' experience in Python, Scala, or R* At least 3 years' experience with machine learning* At least 3 years' experience with SQLCapital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr

* Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money.* Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data.* Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.* Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.* Flex your interpersonal skills to translate the complexity of your work into tangible business goals.* Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers.* Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.* Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.* A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.* Technical. You're comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms.* Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences.* You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF.* You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products.* A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics* A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics* A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)* Master's Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)* At least 1 year of experience working with AWS* At least 3 years' experience in Python, Scala, or R* At least 3 years' experience with machine learning* At least 3 years' experience with SQLCapital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr

* Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation* Leverage a broad stack of technologies - Python, Conda, AWS, Spark, Kubeflow Pipelines, and more - to reveal the insights hidden within huge volumes of numeric and textual data* Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love* Flex your interpersonal skills to translate the complexity of your work into tangible business goals* A data guru. “Big data” doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.* Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.* Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.* Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers.* A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics* A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics* A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)* Master's Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of industry experience in data science, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)* At least 1 year of experience working with AWS* At least 3 years' experience in Python* At least 3 years' experience with building machine learning models, with at least one year of experience with building GBM models* At least 3 years' experience with SQLCapital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr

* Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love* Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data* Build machine learning models, from idea to implementation. This includes designing and executing experiments, developing and iterating on machine learning models, and deploying production-ready solutions that directly impact business outcomes.* Flex your interpersonal skills to translate the complexity of your work into tangible business goals* Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.* Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing and deploying production-ready data science solutions using open-source tools and cloud computing platforms.* Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers.* A data guru. “Big data” doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.* Currently has, or is in the process of obtaining a Bachelor's Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus 3 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date* At least 1 years' experience in open source programming languages for large scale data analysis* At least 1 years' experience with machine learning* At least 1 years' experience with relational databases* Master's Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)* At least 1 year of experience working with AWS* At least 3 years' experience in Python, Scala, or R for large scale data analysis* At least 3 years' experience with machine learning* At least 3 years' experience with SQLCapital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr

A technology-driven automotive company in Mountain View, California, is seeking a Principal Technical Lead to drive machine learning solutions for autonomous driving. You will work with large-scale models, lead projects, and mentor junior engineers. The compensation range is $269,400 to $412,600 based on qualifications. Candidates can expect comprehensive health benefits and potential relocation assistance. #J-18808-Ljbffr

"I can succeed as an Applied Scientist III at Capital Group." As an Applied Scientist III, you will play a pivotal role in shaping the future of AI at Capital Group and help to establish the GenAI strategy for the Client Group. Your command of cutting-edge technology and expertise in Deep Neural Networks and Generative AI will be instrumental in bringing our visionary solutions to life, delivering groundbreaking applications that will set new standards across the asset management industry. This includes researching and developing scalable applications using Large Language Models (LLMs) and Agentic AI, such as conversational assistants to retrieve information about mutual fund products or market insights and guide clients through investment decisions. As an independent researcher, you will provide thought leadership in discussions with product and technical leaders to transform business and product visions into groundbreaking AI applications that would help CG remain leaders in asset management. You have the ability to analyze behavioral data, market news, and economic trends to personalize investment outcomes, and develop AI tools that help sales, marketing, and service teams offer relevant solutions to financial advisors. You will design and review AI solutions with a focus on excellence, scalability, employing best practices for data management, model development, and evaluation to ensure the highest quality outcomes. You will independently drive AI research and innovation with high conviction, collaborating with other scientists and engineers to develop and publish new industry leading ideas, and mentor a talented team of both junior and senior applied scientists, fostering growth and nurturing the next generation of AI leaders. "I am the person Capital Group is looking for." MS in (PhD preferred) Computer Science, Artificial Intelligence, Machine Learning, or related technical field. 10+ years (post MS)/ 8+ years (post PhD) of relevant work experience, including industry experience or as a Researcher in a lab. Practical experience with the latest advancements in Large Language Models (LLM) and generative AI technology including RAG, including parameter-efficient fine-tuning, instruction fine-tuning, advanced prompt engineering, and Agentic AI frameworks. Deep technical knowledge of Machine Learning and Deep Learning architectures, such as Transformers, training methodologies, and optimization techniques. A strong commitment to staying current with the latest advancements in the field, applying cutting-edge academic research to solve complex business challenges, and successfully bringing innovative solutions into production. Experience working effectively with software engineering teams. Experience contributing to research communities- publishing papers/blog articles related to machine learning is a plus. Southern California Base Salary Range: $201,203-$342,045 In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings. You can learn more about our compensation and benefits here. * Temporary positions in Canada and the United States are excluded from the above mentioned compensation and benefit plans. We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa Research conducts Applied and FundamentalResearch andwas created to lead the company in pushing the boundaries of payment related technologies on a global scale. We engage with the company's numerous technology and product teams, world-wide business partners, academics, and governments, to explore and develop technologies that will shape the future of the payments industry and impact the lives of billions of people. The Staff Research Scientist will work with a growing team to advance the long-term research agenda in quantum information and computation, helping deliver innovative technologies and insights to Visa's strategic products and businesses. The ideal candidate will focus on applying quantum information and computation to finance and payments, including developing and implementing quantum algorithms to address financial applications such as portfolio optimization, risk analysis, and derivative pricing. This role represents an exciting opportunity to make key contributions to Visa's strategic vision as a world-leading company. The successful candidate must have strong academic track record, demonstrated by publications and solid academic credentials. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills. Essential Functions: Conduct theoretical and practical research and development in the field of quantum information and computation especially in potential applications to finance and payments. Design and test novel algorithms and models to advance the state-of-the-art in quantum computing. Collaborate with cross-functional teams to explore applications of quantum computing in various domains. Stay updated with the latest advancements and breakthroughs in the field of quantum computing. Publish research findings in top-tier conferences and journals. Mentor interns and contribute to a collaborative research environment. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualification: Ph.D. in Computer Science, Physics, Mathematics, Chemistry, Electrical Engineering or a related field. Preferred Qualifications: 3 or more years of work experience witha PhD in a related field. Solid theoretical understanding of quantum mechanics, quantum computation and information. Experience proposing novel quantum algorithms (especially for optimization, machine learning, and simulation). Experience with quantum programming platforms (e.g., Qiskit, Cirq). Software engineering skills, including coding, debugging, and version control (e.g., Git). Experience deploying and testing algorithms on quantum hardware. Nice to have: experience in financial applications of quantum computing (e.g., risk analysis, derivative pricing. Nice to have: familiarity with classical finance models or financial engineering. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this positionis $169,100 to $270,800USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Source One is a consulting services company and we're currently looking for the following individual to work as a consultant with our direct client, a global ophthalmic manufacturing client in Fort Worth, TX. No Third-Party, No Corp to Corp, No Sponsorship Now or Future Title: Research Scientist I (Topical Ophthalmic Formulations) Location: Fort Worth, TX Onsite (Mon-Fri, 40 hours) Contract Duration: 6-9 months, with likely extension Pay Rate: $36.23 per hour (w2) Please Note: Must have Topical Ophthalmic Formulation, Emulsion and New Solution, Stability experience Job Description : The candidate will join the group focusing on the development of topical ophthalmic formulations and help solve manufacturing and stability challenges in new solution and emulsion formulations, evaluate the properties of new formulations and materials, characterize new manufacturing processes. The candidate is expected to Have ability to carry out experiments under the limited supervision, following GxP guidelines. Capable of taking initiative, self-driven, capable of focusing on objectives, and strong ability for prioritization. Detail oriented and hand-on is a must. Contribute to DOE development in collaboration with supervising scientists Analyze, summarize, and present the data. Have in depth experience in polymer chemistry, surface chemistry, colloid chemistry, or similar, with strong formulation and characterization skills. generate, review and approve documents such as batch records, study protocols, reports, and standard operational procedures Have strong ability to work independently with little direction and tight timeline; Minimum requirements: BS degree in chemistry, polymer science, surface science, colloid chemistry, or similar. Chemical lab experience. Ability to work following SOPs and instructions. Desired: MS or PhD degree with experience in polymer science, surface science, colloid chemistry, or similar. Experience working with polymer solutions and / or with emulsions, familiarity with rheology, microscopy, and particle size characterization methods. Experience developing ophthalmic products Understanding of formulations development principles. Experience working in regulated industry such as pharmaceutical or medical devices. Strong oral and written communication skills, excellent presentation skills Experience in GxP

Scientist, Protein Production and Characterization AlivaMab Biologics is a rapidly growing leader in the discovery of human antibody therapeutics, trusted by top-tier pharmaceutical and biotechnology companies to deliver panels of drug-quality human antibodies. We deliver on our partners' design goals, from simple to extraordinarily challenging, through collaborative access to our scientists' creativity and experience combined with proven technologies, including the AlivaMab Mouse suite of transgenic mice. Our organization is dedicated to creating a healthier world through partnerships that bring better medicines to patients faster, and we recognize our success starts with hiring people who share our passion for science. We are seeking a highly motivated and skilled Scientist to join our Protein Sciences team and contribute to both day-to-day operations and the advancement of Protein Science workflows. This position will focus on the design, optimization, and execution of transient transfection processes at various scales for antibody and protein production in mammalian expression systems. The successful candidate will leverage expertise in biophysical characterization and biochemical modification to evaluate key protein attributes. This position will report to the Associate Director of Protein Sciences and work closely with scientists in the Antibody Discovery, Antibody Engineering, Protein Sciences, and Project Management teams. The ideal candidate will drive innovation through process refinement, high-throughput automation, and growing proficiency of chemical conjugation techniques. This role offers the opportunity to work in a fast-paced, collaborative research environment, where creative solutions and a strong scientific approach are key to success. Responsibilities Responsibilities: Independently design, plan, and execute transient transfection workflows for antibody and protein production across various mammalian expression systems Develop, design, and optimize protein purification methods to enhance throughput, quality, and efficiency, as required Lead developability assessment studies by designing and conducting analytical experiments to evaluate protein stability, purity, and key biophysical characteristics Support production of complex construct design strategies (e.g VLPs, nanodiscs etc.), to enable immunization antibody discovery campaigns against challenging targets Drive implementation of automated high throughput processes to support protein production workflows using Bravo, and other robotic systems Maintain meticulous experimental records using electronic notebook (Benchling), and communicate results clearly through written reports and presentations to support project progression and scientific decision-making Contribute innovative ideas and collaborate effectively across teams to foster research excellence and ensure project success in a fast-paced environment Qualifications Qualifications: Ph.D. in Biochemistry, Chemistry, Molecular Biology, Protein Engineering, or a related field with a minimum of 2 years of industry experience or MS with minimum of 6 years of direct industry experience is required Proven hands-on experience with multiple mammalian expression platforms is required Proficiency with AKTA instrumentation, and a broad range of purification techniques, including affinity chromatography, ion exchange, HIC, and SEC, as well as standard protein QC methodologies is required Experience with therapeutic antibody developability assessment is highly desirable Strong analytical, troubleshooting, and communication skills with exceptional attention to detail Motivated self-starter with excellent organization, teamwork, and a passion for scientific innovation About AlivaMab Biologics AlivaMab Biologics sets its partners' antibody discovery programs on the fastest and most de-risked path through discovery and development. Trusted by top-tier pharmaceutical and biotechnology companies, AMB delivers drug-quality, fully human antibodies on exceptional timelines. AMB achieves its partners' design goals, from simple to extraordinarily challenging, through the generation and function-first screening of large, molecularly diverse panels of antibodies. AMB focuses on rapid and efficient delivery of antibodies, characterized for function, kinetics and developability, and engineering for alternative formats, including multi-specifics and CARs. The AMB team's experience and passion for antibody drug discovery and development combined with the use of trusted, proven technologies, including Ablexis' AlivaMab Mouse platforms, ensure the highest probability of success. The salary range for this position considers various factors, including skills, experience, training, certifications, and organizational needs. Note that this range does not reflect any geographic adjustments based on the location where the role will be based. At AlivaMab Biologics, it is uncommon for a new hire to start at or near the top of the salary range, as compensation is tailored to each individual's skills and breadth and depth of experience. The current estimated range is $98,500 - $140,000, plus a bonus target, benefits, and equity. AlivaMab Biologics provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to religion, race, creed, color, sex, sexual orientation, gender identification, alienage or citizenship status, national origin, age, marital status, pregnancy, disability, veteran or military status, predisposing genetic characteristics or any other characteristic protected by applicable federal, state or local law. #LI-DNI

Job Title: Scientist II- Immunology Anvia Therapeutics is a dynamic and innovative biotech company dedicated to developing small molecule inhibitors targeted at treating inflammatory and autoimmune diseases. We foster a collaborative environment where scientific excellence and creativity drive our mission to develop impactful medicines. Job Summary We are seeking a highly motivated immunology Scientist to drive hypothesis-driven in vitro immunology research in a fast-paced and innovative drug discovery environment. The successful candidate will design, develop, and execute complex cellular assay systems, including primary human immune cells, patient-derived samples, and disease-relevant cell lines to support immune pharmacology and mechanism-of-action (MoA) studies across inflammatory disease programs such as IBD, rheumatoid arthritis, and dermal inflammation. Responsibilities Key Responsibilities Design and execute hypothesis-driven cellular assays to support immune pharmacology, target validation, and MoA studies. Develop, optimize, and validate complex in vitro assay systems using primary immune cells, patient-derived samples, and disease-relevant or engineered cell lines. Perform functional immune assays including cell activation, proliferation, cytokine production, signaling, and cytotoxicity, using both primary and cell-line-based systems. Contribute to immune pharmacology assessments, including compound potency, pathway modulation, selectivity, and translational relevance. Apply a strong mechanistic understanding of immune and inflammatory signaling pathways to guide assay design and data interpretation. Utilize flow cytometry, ELISA/MSD/other cytokine/chemokine profiling techniques, protein- and signaling-based assays, and related techniques to generate high-quality, reproducible data. Analyze, interpret, and clearly communicate experimental results to project and leadership teams. Troubleshoot and refine experimental systems to improve robustness, scalability, and biological relevance. Maintain accurate experimental records using electronic laboratory notebooks. Collaborate closely with lead discovery, chemistry, translational, and external partners to advance program milestones. Stay current with emerging immunology technologies and incorporate innovative methodologies where appropriate. Qualifications Required Qualifications PhD in Immunology, Biology, Biotechnology, Molecular Biology, or a related field with 2+ years of relevant experience. Hands-on experience developing and executing complex cellular assays using primary immune cells, patient-derived samples, and cell line-based systems. Experience working with functional immune readouts, including flow cytometry-based phenotyping and signaling assays, and cytokine measurement (ELISA/MSD/other). Demonstrated expertise in protein-level analysis of signaling pathways, including Western blotting and related biochemical techniques used to assess pathway activation, inhibition, and mechanism of action. Strong understanding of cell signaling pathways relevant to immune and inflammatory biology. Proven ability to independently design experiments, troubleshoot assays, and manage multiple priorities. Proficiency with data analysis and visualization tools (e.g., GraphPad Prism, FlowJo, Excel). Excellent written and verbal communication skills. Preferred Qualifications Experience supporting immune pharmacology and MoA characterization in early drug discovery. Background in inflammatory or autoimmune disease biology (IBD, RA, dermatology preferred). Familiarity with assay validation, quantitative potency assessment and translational biomarker analysis/ identification. Experience working in a fast-paced, innovative biotech environment. Why Join Us? Be part of a passionate team making a difference in biotech innovation. Collaborative and dynamic work environment. Hands-on experience with state-of-the-art technologies. Opportunities for professional development and advancement. Competitive compensation and benefits. The salary range for this position is $115,000-$150,000 per year. The actual compensation offered will be based on factors such as relevant experience, education, and skills. In addition to base salary, we offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan options. Anvia Therapeutics is an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, creed (religion), color, national origin, sex (including gender identity and sexual orientation), age, disability, marital status, citizenship status, military status, genetic information, or any other characteristic protected by federal, state, or local law. Our employment decisions are based on merit, qualifications, and business needs. We are committed to providing a work environment free from discrimination, harassment, and retaliation, and we undertake affirmative action efforts to promote equal opportunity for all employees and applicants. #LI-DNI

Must Have Technical/Functional Skills * Product formulation and launch experience. * Biomaterials and material development. * Medical device and combination product design and development; PMA familiarity. * Problem solving using Analytical tools. * Design of Experiments (DOE) and applied statistics. * Protocol development, reporting, and documentation. * In-vitro/ex-vivo characterization of prototypes. * Biochemical test method development and validation. * Strong communication and collaboration across teams. * Ability to work in ambiguous environments and deliver outcomes. * Experience with self-directed teams and multitasking. * Effective prioritization and decision-making. * Travel up to 20% may be required (domestic and international) Salary Range $135,000-$150,000year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SP1