Senior Scientist jobs at JPMorgan Chase & Co.

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 Spring House, PA. No Third-Party, No Corp to Corp, No Sponsorship. Must be able to work in the US and must not require sponsorship for employment visa status now or in the future (e.g., FI, H1-B status) Title: Research Scientist IV Location: Spring House, PA Onsite (Mon-Fri, 40 hours) Contract Duration: 12 months, with likely extension Pay Rate: $67.88 per hour (w2) Key Responsibilities: • Support membrane protein expression and purification. • Conduct protein production, purification and characterization. • Characterization and quality check of membrane proteins to support biotherapeutics development. • Collaborate effectively in a multi-team environment. • Contribute to both internal and external efforts in membrane protein production. Education: • Minimum of BS Degree with a minimum of 2-4 years of academic/industry experience or MS Degree with a minimum of 1-2 years is required. Required Skills: • Experience with membrane protein expression and optimization, purification, and characterization of proteins • Well-versed with analytical characterization to determine quality, conformation, purity and stability • Knowledge of protein expression construct design and optimization, and expression platforms • Excellent communication skills to collaborate with internal and external partners Preferred: • Proficient in protein purification optimization, detergent screening, and reconstitutions into lipid nanodiscs • Experience in independently operating AKTA FPLC and analytical HPLC instruments • Experience in generating DNA/RNA constructs and or other tools as antigen for supporting antibody discovery • Knowledge and experience with CROs for protein production

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 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 A Call to Innovators! Are you ready to be the architect of the future workplace? 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 be tackling complex, high-impact problems using cutting-edge technologies like Generative AI and Knowledge Graphs to transform the employee experience. This is your chance to move beyond incremental improvements and lead the charge in delivering disruptive, innovative use cases that directly shape how Capital One works and evolves. If you thrive on technical challenges, product ownership, and leveraging a diverse tech stack to reveal the insights hidden within massive datasets, then join us and become 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 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 The Ideal Candidate is: 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. 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. 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. 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 "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 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 in working with Vector Databases to indexing of 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. 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. Plano, TX: $144,200 - $164,600 for Princ Associate, Data Science McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science Richmond, VA: $144,200 - $164,600 for Princ Associate, Data Science Riverwoods, IL: $144,200 - $164,600 for Princ 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 ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding 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 . 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).

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 a wide range of cross functional partner teams - data engineers, platforms engineers, product managers, credit and business analysts, to deliver the solutions from ideation to implementation. We are a team of model developers, who own the full life cycle of our models - development, deployment, monitoring, governance, and ongoing usage expansion and releases. We are also a team of creative problem solvers, who challenge the status quo on a continuous basis and are devoted to innovation to keep making our models more dynamic, adaptive, robust, and ultimately, 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 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 The Ideal Candidate is: 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. Basic Qualifications: 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 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 for large scale data analysis At least 3 years' experience with machine learning At least 3 years' 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. 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. Chicago, IL: $144,200 - $164,600 for Princ Associate, Data Science McLean, VA: $158,600 - $181,000 for Princ 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 ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding 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 . 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).

Join the industry leader to design the next generation of breakthroughs. Innovate to solve the world's most important challenges. Honeywell is a Fortune 100 company that invents and manufactures technologies to address critical challenges linked to global macrotrends such as safety, security, productivity, global urbanization and energy. With approximately 129,000 employees worldwide, including more than 19,000 engineers and scientists, Honeywell has an unrelenting focus on quality, delivery, value, and technology in everything they make and do. Honeywell has been named a Top 100 Global Innovator for seven years in a row, recognizing the company's global reach of portfolio and invention influence. In Kansas City, Honeywell Federal Manufacturing & Technologies (FM&T) manages and operates the U.S. Department of Energy/National Nuclear Security Administration's (NNSA) Kansas City National Security Campus. This state-of-the-art engineering, manufacturing and sourcing facility produces a wide array of intricate components to deliver trusted national security products and government services primarily for the NNSA. Honeywell FM&T's culture of integrity, commitment and continuous improvement enables them to deliver responsive, collaborative and innovative management and technology services and products that translate into cutting edge solutions to complex national security issues. Summary The Kansas City National Security Campus (KCNSC) is a U.S. Department of Energy, National Nuclear Security Administration (NNSA) facility managed and operated by Honeywell Federal Manufacturing & Technologies (FM&T). Our primary business is to manufacture sophisticated mechanical, electronic, and engineered-material components for our nation's defense system. Our goal is to seek innovative solutions that surpass our customers' expectations; to accomplish this, we research, develop, and deploy some of the most advanced design and manufacturing technologies in use in the United States today. This position is seeking candidates from universities involved in one or more of these programs: NNSA's Minorities Serving Institutes Partnership Program (MSIPP), a KCNSC Master Collaboration Agreement (MCA) university, or a KCNSC R&D consortium partner. MSIPP's goal is to increase participation of women and minorities in NNSA's nuclear security enterprise and across the nation in STEM disciplines, developing individuals, building core competencies for NNSA, and improving institutional capacity in Minority Serving Institutions. The MCA program seeks to facilitate research and development relevant to KCNSC mission through plant-directed research and development and other low-technology-maturity programs. The consortium model supports multi-institution collaborative efforts in a broader topic of interest to KCNSC. Duties and Responsibilities These non-permanent positions have been designed for a faculty member from a KCNSC-supported MSIPP, MCA, or consortium university or college to spend 10-12 weeks of summer at KCNSC to expand their research efforts and understanding of the KC campus activities. The faculty member will work as part of a larger team of Scientists and Engineers to achieve the scope of work on one or more projects related to materials, electronics, or mechanical components. Interface with internal organizations to resolve design, R&D, production, and acceptance issues, Identify future technology focus areas, Research and evaluate the relevant scientific literature in preparation for solving complex materials/component development problems, Evaluate research results and make recommendations on a project's forward path, Draft reports, and prepare and deliver presentations on research results, as needed, to communicate progress and meet project milestones, and Expand the existing project team knowledge base. You Must Have A Faculty position at a partnering MSIPP, MCA, or consortium university or college in a Chemistry, Physics, Materials Science, Chemical Engineering, Electrical Engineering, Mechanical Engineering, or similar department Ph.D. in Engineering, Materials Science, Chemistry, Physics, or similar This position may require that a Non-Disclosure Agreement be signed, as well as other agreements regarding the ownership of any intellectual property that may be developed Ability to work remote, hybrid, or on-site as directed by management and is determined by the needs of the business Regular and reliable attendance is an essential function of this job United States Citizenship Ability to obtain and maintain a U.S. Department of Energy (DOE) security clearance (some positions require additional DOE designations) We Value Ongoing research and development collaborations with KCNSC, either through MSIPP, MCA, or consortium Experience with a variety of materials characterization and analytical techniques including mechanical and rheological properties Progressive experience in electrical engineering research Experience in design and testing of mechanical systems Experience in modeling and simulation of physical phenomena Experience reflective of ability to negotiate, positively influence leaders, team with peers, and mentor teammates to drive resolution for mutually beneficial outcomes Experience in strategic development with demonstrated success negotiating these efforts Leadership experience managing large complex projects with history of successful outcomes Interpersonal skills - ability to build relationships and communicate with all levels of an organization Strong communication skills - verbal, written, and presentation All employees must work in a safe manner in accordance with the Laboratory Health and Safety Program This job description/job posting is not all inclusive and other duties may be assigned. Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. If you require a reasonable accommodation to submit an application, please send an email to our Reasonable Accommodation Support Team at **********************. To learn more about our benefits and culture follow the link below: *************************************************** Additional Information: Job ID: 3756 Category: Engineering Level of Experience: Intern Posting Location: Kansas City National Security Campus 14520 Botts Road Kansas City, MO, 64147 Remote Eligibility: On-Site Travel Required: 0-10% Approved Work States: MO; KS Hourly/Salary: Salary

Business Unit What the Role Entails We are committed to building the core architecture for Artificial General Intelligence (AGI) systems that match or surpass human-level capabilities. As a key contributor to our core R&D team, you will help develop large-scale models with multimodal perception, autonomous learning, and reasoning abilities, driving their generalization to real-world applications. Our goal is to design a native multimodal system-capable of understanding and generating across vision, speech, and text-while interacting deeply with the environment to catalyze the transition from AGI to ASI (Artificial Super Intelligence). Responsibilities: * Design unified large model architectures with integrated capabilities in multimodal perception, reasoning, memory, and generation (across vision/audio/text). * Build systems that support continual learning, hierarchical memory, autonomous exploration, and self-evolution. * Advance the development of agent-based systems with autonomous task planning, cross-modal interaction, tool usage, and self-improvement capabilities. * Contribute deeply to the design of core components such as general representation learning, synchronized audio-visual modeling, world models, and sparse modeling. Key Research Areas: * Multimodal Unified Architecture: Native co-frequency modeling and cross-modal reasoning across vision, speech, and language. * Continual Learning & Memory Mechanisms: Architectures that separate long-term memory from the core model to enable memory recall and task transfer. * World Modeling & Causal Reasoning: Enabling models to predict environmental states, plan behaviors, and update cognitive structures dynamically. * Sparse & Modular Architectures: Scalable, efficient, and interpretable ultra-large sparse model design. * Self-Evolution & Active Data Generation: Mechanisms for self-growth through reinforcement learning, self-supervision, and environment interaction. * Cross-Modal Understanding & Generation: Strengthening joint generation and decision-making capabilities in real-world physical environments. * Intelligent Agent Capability Transfer: Systematic enhancement of task generalization and tool-composition skills. Who We Look For Requirements: * Expertise in Transformer-based architectures and their applications in language and multimodal domains. * Hands-on experience in building or optimizing billion-scale models; familiar with training paradigms such as SFT (Supervised Fine-tuning), RLHF (Reinforcement Learning with Human Feedback), and self-supervised learning. * Preferred qualifications include deep understanding or practical experience in one or more of the following areas: * Multimodal models (e.g., vision-language models, audio-video models) * Reinforcement learning and autonomous agent systems * Complex reasoning and planning (e.g., search + LLMs, world modeling) * Sparse modeling and dynamic routing mechanisms * Strong engineering and system thinking capabilities, with the ability to translate cutting-edge research into production-level AGI model systems. * Publications in top-tier conferences/journals such as NeurIPS, ICLR, CVPR, ACL, etc., are highly desirable. Location State(s) US-Washington-Bellevue The expected base pay range for this position in the location(s) listed above is $134,900.00 to $253,400.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

Business UnitWhat the Role Entails Job Responsibilities: We are building large-scale, native multimodal model systems that jointly support vision, audio, and text to enable comprehensive perception and understanding of the physical world. You will join the core research team focused on speech and audio, contributing to the following key research areas: Develop general-purpose, end-to-end large speech models covering multilingual automatic speech recognition (ASR), speech translation, speech synthesis, paralinguistic understanding, and general audio understanding. Advance research on speech representation learning and encoder/decoder architectures to build unified acoustic representations for multi-task and multimodal applications. Explore representation alignment and fusion mechanisms between audio/speech and other modalities in large multimodal models, enabling joint modeling with image and text. Build and maintain high-quality multimodal speech datasets, including automatic annotation and data synthesis technologies. Who We Look For Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, Linguistics, or a related field; or Master's degree with several years of relevant experience. Solid understanding of speech and audio signal processing, acoustic modeling, language modeling, and large model architectures. Proficient in one or more core speech system development pipelines such as ASR, TTS, or speech translation; experience with multilingual, multitask, or end-to-end systems is a plus. Candidates with in-depth research or practical experience in the following areas are strongly preferred: Speech representation pretraining (e.g., HuBERT, Wav2Vec, Whisper) Multimodal alignment and cross-modal modeling (e.g., audio-visual-text) Experience driving state-of-the-art (SOTA) performance on audio understanding tasks with large models Proficient in deep learning frameworks such as PyTorch or TensorFlow; experience with large-scale training and distributed systems is a plus. Familiar with Transformer-based architectures and their applications in speech and multimodal training/inference. Location State(s) US-Washington-BellevueThe expected base pay range for this position in the location(s) listed above is $122,500.00 to $229,700.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

Business Unit What the Role Entails Job Responsibilities: 1. Track the latest research in speech generation algorithms, explore next-generation paradigms for speech/audio generation, and push the boundaries of speech generation capabilities. 2. Investigate cutting-edge multimodal voice foundation model technologies to enhance voice interaction experiences by integrating text, speech, and vision. 3. Lead the technical R&D of voice foundation models, driving model performance improvements and innovative applications. Who We Look For Job Requirements: 1. Master's or Ph.D. in Computer Science, Artificial Intelligence, Electronic Engineering, Signal Processing, or related fields. 2. Research or development experience in one or more areas: voice foundation models, speech synthesis, speech recognition, audio generation, voice conversion, or speech codec. 3. Familiarity with mainstream voice-enabled large models (e.g., GPT4o, GLM-4-Voice, Qwen2.5-Omni, Voila). Prior project experience is preferred. 4. Proficient in deep learning frameworks (e.g., PyTorch). Experience with large-scale model training frameworks (Megatron/Deepspeed) is a plus. 5. Solid understanding of large model architectures and principles. Experience in large-scale pretraining or post-training is preferred. Location State(s) US-Washington-Bellevue The expected base pay range for this position in the location(s) listed above is $122,500.00 to $229,700.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: WorldQuant offers an exciting opportunity for a research scientist to join the Value Addition team. The team has created and operates Worldquant's investment evaluation system - allocating capital across Portfolio Managers, selecting alpha signals for use in trading, providing a database to portfolio managers for strategy creation, dashboards used by researchers to assess their performance, and customized analytical reports for senior management - leading to increased efficiency, focus and growth across the organization. Reporting directly to the firm's Chief Strategy Officer, the individual will be part of a dynamic group of researchers and business leaders on the cutting edge of quantitative finance. Together they enable the firm to measure the value added at each layer of the investment process - from data to strategies and beyond - and reflect WorldQuant's ethos of optimization. As a research scientist at WorldQuant, you will make a cross-functional impact and have the opportunity to: Build mathematical (optimization/machine learning/statistical) models for investment entity evaluation and resource allocation across them Contribute code implementations and maintain existing code for evaluation models Create on-demand analytical reports and produce business commentary on investment entities Operate recurring entity evaluation pipelines Access a variety of software and hardware resources and state-of-the-art systems What You'll Bring: Graduate-level calculus, linear algebra, optimization and machine learning algorithms knowledge Graduate-level research experience in a quantitative field Machine learning models research and operations experience Experience working with “large” datasets (>100G CSV) Excellent knowledge of Python, NumPy and Pandas Experience with at least one of: XGBoost, LightGBM, CatBoost, Tensorflow, PyTorch, MOSEK, CVXPY Experience with at least one of: Intel MKL, JAX, PySpark, Dask, Ray, ClickHouse, Vertica, Arrow C++ knowledge is a plus Passion for reasonable accuracy-explainability trade-offs in models Willingness to explain and defend employed models, their interpretation and business value to the team and stakeholders Ability to run full-length research work: from business idea, through data collection and model implementation, to tangible business data produced at regular frequencies Experience in applying AI techniques to multi modal data and draw insights to support management decision making Our Benefits: Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401(k), fully paid parental leave, generous PTO with unlimited sick days Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code Training: learning and development courses, speakers, team-building off-site Employee resource groups WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. The estimated salary range for this position is $150,000 to $200,000 which is specific to New York and may change in the future. When finalizing an offer we will take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package. #LI-JG1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

PDT, a quantitative investment manager, is hiring problem solvers who blend programming and applied research experience. Individuals in this role will devise, implement, evaluate, and iterate to create and improve statistical methods vetting them through direct application to enhancing our trading strategies. Applied ML scientists are expected to navigate quantitative and technical challenges within a project to advance our research methodology. They will have ample opportunity to collaborate with our deep bench of senior researchers and technologists. PDTers are creative, energetic, friendly, entrepreneurial, and collaborative. If you could walk around our office, you'd see that we're a focused, intent, and nimble company with none of the attitude and bureaucracy of a stereotypical Wall Street trading firm. We love to work on challenging and complicated problems, that in return give a chance to make outsized, direct impact on our bottom line. For the right talent, there is fantastic growth potential. This is a hybrid position and will require the person to work from our New York City office at minimum 3 days a week. Why join us? PDT Partners has a 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world-measured by the quality of our products, not their size. PDT's very high employee-retention rate speaks for itself. Our people are intellectually extraordinary and our community is close-knit, down-to-earth, and diverse. Responsibilities: * Work closely with senior researchers on a variety of trading strategies and research projects, with the opportunity to conduct independent research and originate research topics over time * Contribute to the long-term success of our research-driven algorithmic trading business Below is a list of skills and experiences we think are relevant. Even if you don't think you're a perfect match, we still encourage you to apply because we are committed to developing our people * Solid mathematical and analytical ability; exceptional problem-solving and modeling ability * Research intuition * Experience in programming (Python, R, Matlab, C++) * Excellent communication and collaborative white board skills * Meticulous and detail-oriented, and innately driven to understand issues deeply * Experience with/interested in working with large data sets * Self-motivated and highly-productive, with a strong sense of ownership and urgency * Able to work collaboratively and productively with others * Enjoy solving complex, difficult, real-world problems * Entrepreneurial and creative * Finance knowledge is not required or expected * PhD preferred * Undergraduate or Masters degree with equivalent industry experience in machine learning * 2+ years of applied machine learning research experience * Strong publication record * Experience with the Python scientific stack The salary range for this role is between $190,000 and $250,000. This range is not inclusive of any potential bonus amounts. Factors that may impact the agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors. PRIVACY STATEMENT: For information on ways PDT may collect, use, and process your personal information, please see PDT's privacy notices.

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

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Location: West Palm Beach, FL or New York, NY The Role: We are seeking an exceptionally talented AI Scientist to join the Artificial Intelligence team at WorldQuant. The successful candidate will: Conduct research in the Machine Learning field to improve multiple aspects of the investment pipeline Produce trading or predictive signals using innovative Machine Learning algorithms Apply the latest in LLM based agentic technology to develop and test innovative trading signals and algorithms Implement signal compression and combination techniques using Machine Learning tools Implement state of the art machine learning algorithms Design deep learning architectures. Develop model frameworks for investment professionals Collaborate with portfolio managers and researchers to optimize machine learning algorithms Communicate optimally with team members, researchers, and portfolio managers What You'll Bring: PhD degree in a quantitative or highly analytical field (e.g., Computer Science, Physics, Mathematics, Statistics, or a related field) 2+ years of research or work experience applying Machine Learning in innovative ways to complex problems Graduated at the top of your respective educational program, with excellent problem-solving abilities, insight, and judgment with a strong attention to detail Demonstrated ability to program. Strong development skills and proficiency in C++, Python, and PyTorch. Demonstrated science aptitude via record of creativity and inventions. Ability to run experiments and perform statistical inference. Experience with software development tools and practices, such as version control (e.g., Git), continuous integration, and testing frameworks Advanced practitioner-level knowledge of statistical inference, machine learning, software solvers, and/or mathematical optimization Strong communication skills; ability to express complex concepts in simple terms Our Benefits: Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of: twenty vacation days that are pro-rated based on the employee's start date, at an accrual of 1.67 days per month, three personal days, and ten sick days. Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code Training: learning and development courses, speakers, team-building off-site Employee resource groups Pay Transparency: WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations. When finalizing an offer, we will take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package. The Base Pay Range For This Position Is $150,000 - $200,000 USD. At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws. If you believe any required details are missing from this job posting, please notify us at WQHR_*****************, and we will address your concerns promptly. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Location: West Palm Beach, FL or New York, NY The Role: We are seeking an exceptionally talented AI Scientist to join the Artificial Intelligence team at WorldQuant. The successful candidate will: * Conduct research in the Machine Learning field to improve multiple aspects of the investment pipeline * Produce trading or predictive signals using innovative Machine Learning algorithms * Apply the latest in LLM based agentic technology to develop and test innovative trading signals and algorithms * Implement signal compression and combination techniques using Machine Learning tools * Implement state of the art machine learning algorithms * Design deep learning architectures. * Develop model frameworks for investment professionals * Collaborate with portfolio managers and researchers to optimize machine learning algorithms * Communicate optimally with team members, researchers, and portfolio managers What You'll Bring: * PhD degree in a quantitative or highly analytical field (e.g., Computer Science, Physics, Mathematics, Statistics, or a related field) * 2+ years of research or work experience applying Machine Learning in innovative ways to complex problems * Graduated at the top of your respective educational program, with excellent problem-solving abilities, insight, and judgment with a strong attention to detail * Demonstrated ability to program. Strong development skills and proficiency in C++, Python, and PyTorch. * Demonstrated science aptitude via record of creativity and inventions. Ability to run experiments and perform statistical inference. * Experience with software development tools and practices, such as version control (e.g., Git), continuous integration, and testing frameworks * Advanced practitioner-level knowledge of statistical inference, machine learning, software solvers, and/or mathematical optimization * Strong communication skills; ability to express complex concepts in simple terms Our Benefits: * Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of: * twenty vacation days that are pro-rated based on the employee's start date, at an accrual of 1.67 days per month, * three personal days, and * ten sick days. * Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code * Training: learning and development courses, speakers, team-building off-site * Employee resource groups Pay Transparency: WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations. When finalizing an offer, we will take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package. The Base Pay Range For This Position Is $150,000 - $200,000 USD. At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws. If you believe any required details are missing from this job posting, please notify us at [email protected], and we will address your concerns promptly. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

“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.

"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.

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

Requisition Id 15515 Oak Ridge National Laboratory is looking for an Associate Plasma / Ion Beam Research Scientist to support the Enrichment Science and Engineering Division. This role involves advancing the electromagnetic isotope separation technology and the plasma separation process. Our isotopic products enable a wide variety of applications, including curing cancer with radiopharmaceuticals, conducting basic scientific research, and ensuring our national security. The position will integrate into an existing research team, focusing on plasma and ion beam science and technology to enhance isotope enrichment systems. Purpose: The Enrichment Science and Engineering Division focuses on advancing enrichment technologies and exploring stable isotope production and applications. The division leverages scientists and engineers' expertise and capabilities of Oak Ridge National Laboratory to deliver advancements with various applications, including national security and medical treatments. ESED oversees the research, development, and demonstration of enrichment technologies and manages the nation's stable isotope inventory. The successful candidate will plan and conduct research and development (R&D) to advance plasma science and technology to support plasma-based enrichment systems, including Electromagnetic Isotope Separation (EMIS). This position involves integrating into the existing research team, learning current enrichment technologies, and developing expertise over time. ESED integrates the entire enrichment process, from chemical synthesis of feed materials to fabrication of custom physical forms. The successful candidate will engage in all aspects of the enrichment enterprise, supporting applied research, improving existing equipment and processes, and prototyping new equipment for isotope enrichment. They will work closely with scientists, technicians, and engineers on technical projects in support of the DOE Isotope Program and other DOE missions. This program offers opportunities for professional growth and values creative solutions to developing technology and processes. Success requires attention to detail and consideration of safety. Major Duties/Responsibilities: Apply advanced concepts in plasma physics, ion beam transport, plasma chemistry, ion-surface interactions, and related technologies to develop and deploy plasma-based enrichment technologies, including EMIS. Use experimental data and simulations to understand the physics driving enrichment technology and identify optimization paths. Independently complete research to advance high mass ion source technology for flexibility across the periodic table while improving efficiency and stability. Conduct experiments in high current ion beam transport and isotope collection to optimize throughput and eliminate contamination sources. Collaborate with scientists to develop new isotope separation technologies to support the DOE Isotope Research Program. Develop into a subject matter expert for plasma-based enrichment operations. Work closely with colleagues and safety professionals to ensure safe execution of work. Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace - in how we treat one another, work together, and measure success. Basic Qualifications and Requirements: PhD in physics, engineering, chemistry, or related fields with relevant research experience. Ability to generate and execute new research ideas. Experience performing experimental research with plasma sources and/or ion beams. Demonstrated ability to work in collaborative, multidisciplinary environments. Experience working within R&D teams to solve complex problems. Excellent written and oral communication skills. Ability to function well in a fast-paced research environment and adapt to changing needs. Preferred Qualifications and Research Topics of Interest: Experience with high-current, low-energy ion beam accelerators. Experience with electrostatic and magnetic ion beam optics. Experience with ion source design, testing, and modeling. Experience in plasma resonant heating using RF and/or microwave sources. Experience with plasma/ion transport in magnetic fields. Interest in developing high efficiency ion source technology for unique plasmas. Ability to translate physics understanding into experimental designs. Mechanical and electrical engineering skills in an R&D environment. Experience with Multiphysics simulation tools and collaborating with modeling researchers. Experience coupling experimental diagnostic data to simulation results. Experience in complex plasma chemistry. Experience in isotope enrichment science and engineering. Special Requirements: Q Clearance: This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. Physical Requirements: Work involves various physical requirements and working conditions. As such, a pre-hire physical will be required after offer. Visa sponsorship: Visa sponsorship is not available for this position. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience. Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. Relocation: Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details. If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ***********************. #LI-DC1 This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. If you have trouble applying for a position, please email ***********************. ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

The University of South Florida (USF) and the USF Health Morsani College of Medicine (MCOM) are launching an open-rank high level scientists in the field of Virology. Essential functions of this position include carrying out research on virusses and viral diseases, publishing, obtaining high-level grants, including NIH grants, and serving as a Principal investigator, head of a research group, contributing to the recruitment of faculty, and mentoring USF scientists and MDs. Develop philanthropic relationships, contribute to defining strategic plans, scientific and recruitment priorities. Doctoral degree from an accredited institution or the highest degree appropriate in the field of specialization with a demonstrated record of achievement in teaching, academic research, and service. Must meet university criteria for appointment to the rank of Assistant, Associate, or Full Professor. For Associate/Full Professor - Normally will have produced creative work, professional writing or research in refereed and other professional journals, and be a recognized authority in the field of specialization. PhD, MD or MD/PhD; 10 year history of continuous NIH funding or other high profile international grants; current NIH funding at the level of at least one R01 and greater than $350,000 in direct costs per year or other comparable international grants; At least 5 papers with an impact factor above 15; H-index greater than 40; at least 10 year experience as a principal investigator in a highly renowned research institute or university. Carry out research in virology, publish, obtain high level grants, including NIH grants. Principal investigator, head of a research group. Contribute to recruit faculty and mentor USF scientists and MDs. Develop philanthropic relationships, contribute in defining strategic plans, scientific and recruitment priorities. Provide didactic, benchside, and bedside teaching of medical students, graduate students, and post-doctoral fellows and provide college-wide seminars. Participate in training and mentoring of Medical Students/Graduate Students/Postdoctoral Scholars, sit on Dissertation Committees, Course instruction and/or course curriculum development, Grant writing and professional development in Scholarly Activities (i.e. publications, review papers, etc.) Contribute to define the strategic research orientations on virology investigation at USF health, contribute to establish community relationships for philanthropy, contribute to recruit new faculty and mentor faculty members in planning, research and grant submissions. Responsible to a Chair or other appropriate higher-level administrator of a State university. Responsible for teaching, research, service, and related administrative activities. Responsible for academic advising and related activities. May represent the university, college/school, or department.

PDT, a quantitative investment manager, is hiring problem solvers who blend programming and applied research experience. Individuals in this role will devise, implement, evaluate, and iterate to create and improve statistical methods vetting them through direct application to enhancing our trading strategies. Applied ML scientists are expected to navigate quantitative and technical challenges within a project to advance our research methodology. They will have ample opportunity to collaborate with our deep bench of senior researchers and technologists. PDTers are creative, energetic, friendly, entrepreneurial, and collaborative. If you could walk around our office, you'd see that we're a focused, intent, and nimble company with none of the attitude and bureaucracy of a stereotypical Wall Street trading firm. We love to work on challenging and complicated problems, that in return give a chance to make outsized, direct impact on our bottom line. For the right talent, there is fantastic growth potential. This is a hybrid position and will require the person to work from our New York City office at minimum 3 days a week. Why join us? PDT Partners has a 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world-measured by the quality of our products, not their size. PDT's very high employee-retention rate speaks for itself. Our people are intellectually extraordinary and our community is close-knit, down-to-earth, and diverse. Responsibilities: Work closely with senior researchers on a variety of trading strategies and research projects, with the opportunity to conduct independent research and originate research topics over time Contribute to the long-term success of our research-driven algorithmic trading business Below is a list of skills and experiences we think are relevant. Even if you don't think you're a perfect match, we still encourage you to apply because we are committed to developing our people Solid mathematical and analytical ability; exceptional problem-solving and modeling ability Research intuition Experience in programming (Python, R, Matlab, C++) Excellent communication and collaborative white board skills Meticulous and detail-oriented, and innately driven to understand issues deeply Experience with/interested in working with large data sets Self-motivated and highly-productive, with a strong sense of ownership and urgency Able to work collaboratively and productively with others Enjoy solving complex, difficult, real-world problems Entrepreneurial and creative Finance knowledge is not required or expected PhD preferred Undergraduate or Masters degree with equivalent industry experience in machine learning 2+ years of applied machine learning research experience Strong publication record Experience with the Python scientific stack The salary range for this role is between $190,000 and $250,000. This range is not inclusive of any potential bonus amounts. Factors that may impact the agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors. PRIVACY STATEMENT: For information on ways PDT may collect, use, and process your personal information, please see PDT's privacy notices.

Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at altoslabs.com. Our Value Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission. Diversity at Altos We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos An exciting opportunity is available to join Altos Labs. We are seeking highly motivated, creative, and collaborative individuals who are passionate and dedicated about using their expertise to make impactful contributions for unraveling the deep biology of cellular rejuvenation programming to restore cell health and resilience, including basic science, pre-clinical, and clinical-stage programs. Responsibilities * Engage in ground-breaking and innovative science. * Support and manage internal/external collaborations in one or more multidisciplinary projects to accelerate essential research activities. * Study the mechanistic basis of cell programming for health and rejuvenation. * Responsible for mentoring graduate students. * Responsible for developing project-specific experimental strategies, techniques, and procedures. * Responsible for helping PI train lab members, including scientists and technicians. * Contribute to writing and dissemination of research results. * Carry out research projects in collaboration with the PI. Who You Are We have multiple Scientist openings are are interested in having people at varying levels of experience. Minimum requirements for the Scientist role include: * PhD and a documented record of professional achievement in the form of impactful publications. * Excellent computer skills, including advanced proficiency with Google apps, Excel, and Powerpoint graphic skills to produce documents and manage office projects. * Excellent professional writing skills and the ability to attune through writing and presentations to a variety of audiences including senior executives through entry-level employees. * Problem-solving skills sufficient to identify issues, conduct research, and develop innovative solutions. * Ability to maintain cooperative working relationships with a broad range of people, including staff colleagues, lab members, faculty, outside agencies and collaborators, and the community. * Demonstrated high productivity and ability to complete work in a timely manner. * Ability to organize work and set priorities. * Ability to focus on details to produce accurate, quality work driven by deadlines. * Ability to work in a dynamic environment and with others in a team. * Strengths in dealing with ambiguity. Preferred Qualifications * Candidates with strong training in the following fields are preferred: * Epigenetics and Epigenetic modifications * Metabolism, including metabolome and adipose tissue/skeletal muscle/liver metabolism * Stem cell biology, prior experience with animal models is a plus * Single cell analysis of animal tissues * Screen platforms, including small molecules, CRISPR/Cas systems, RNAi, etc. * Gene delivery systems, including enhancing the delivery efficiency of AAVs * Tissues crosstalk * Animal disease models The salary ranges for this position in San Diego, CA: * Scientist I $116,450 - $157,550 * Scientist II $137,000- $184,800 * Senior Scientist I $154,000 - $204,000 * Senior Scientist II $170,000- $247,000 Exact compensation may vary based on skills, experience, and location. #LI-NN1 For UK applicants, before submitting your application: * Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (*********************** * This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment Equal Opportunity Employment We value collaboration and scientific excellence. We believe that diverse perspectives and a culture of belonging are foundational to scientific innovation and inquiry. At Altos Labs, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining an inclusive environment. Altos Labs provides equal employment opportunities to all employees and applicants for employment, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Altos prohibits unlawful discrimination and harassment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging. Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at ***************************************************************************