Senior project scientist jobs near me

About Us: Judi Health is a health technology company offering a wide range of benefits administration solutions for employers and health plans. This includes Capital Rx, a public benefit corporation that provides full-service pharmacy benefit management (PBM) solutions to self-insured employers; Judi Health™, which offers comprehensive health benefit management solutions for employers, TPAs, and health plans; and Judi , the industry's leading proprietary Enterprise Health Platform. To learn more, visit **************** Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into healthcare as a Senior Applied AI/ML Scientist. We are seeking Artificial Intelligence (AI) Applied Scientists to join our team and contribute to the development of Large Language Models (LLMs) aimed at advancing state-of-the-art for AI-based automation for Healthcare. As an Applied Scientist, you will play a crucial role in developing, improving, and exploring the capabilities of multimodal LLMs to solve complex real-world problems geared towards building Conversational AI products enabling increased productivity and magical experiences for our customers. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable customized solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: Investigate the latest LLM MLM models and evaluate and compare accuracy and efficiency for our in-domain use cases Develop tools and processes to create data pipelines for ML training and customization Finetune LLMs for the healthcare domain Help develop and productionize machine learning (ML) solutions leveraging our customized models in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment. Participate in code reviews, testing, and quality assurance processes. Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. Document and communicate research and development processes, and architectural decisions. Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. All employees are responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. Minimum 4 years of experience in industry with a strong focus on applied AI/ML research and development Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. Solid understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc. Strong proficiency in Python and familiarity with ML libraries such as PyTorch. Experience with training (pre-training / fine-tuning / RLHF / post-training) autoregressive language models like LLaMA, GPT-x, Mistral etc. Experience with open-source LLM platforms and training stack (e.g., HuggingFace, Deepspeed etc.). Experience with ML platforms such as AWS Sagemaker, Azure ML, Databricks etc. Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. Passion for customer, innovation, product quality The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. Good written communication skills that enable collaboration in a remote environment. Experience in healthcare or life sciences is a plus. Salary Range$150,000-$190,000 USD This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Who we are: Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks. Motive serves nearly 100,000 customers - from Fortune 500 enterprises to small businesses - across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector. Visit gomotive.com to learn more. Who We Are: Motive, ex-KeepTruckin offers best-in-class, end-to-end fleet management solutions and Electronic Logging Devices for drivers, fleet managers, and fleets of all sizes. Motive has strong leadership, disruptive technology and is a high growth company. Backed by Google Ventures, this is your opportunity to be a part of a phenomenal start-up culture! About the Role: We are looking for a Senior Applied Scientist to build the models that power the credit risk and fraud functions for the Motive Card, a key focus area for Motive. The Motive Card is a corporate card natively integrated with a fleet management platform, giving businesses an all-in-one solution to automate their financial and physical operations. As a member of our team you'll help frame the problems, build models and products that win customers, and leverage machine learning at a massive scale to solidify Motive's technology lead in the connected fleet management space. What You'll Do: Work closely with Risk, Product and Engineering teams to build, improve and implement underwriting and fraud models Derive insights from complex data sets to identify credit and fraud risk Apply statistical and machine learning techniques on large datasets Evaluate the utility of non-traditional data sources What We're Looking For: Bachelor's degree or higher in a quantitative field, e.g. Computer Science, Math, Economics, or Statistics 7+ years experience in data science, machine learning, and data analysis - specifically in the Credit Risk space Expertise in applied probability and statistics Experience building credit risk and fraud models Deep understanding of machine learning techniques and algorithms End-to-end deployment data-driven model deployment experience Expertise in data-oriented programming (e.g. SQL) and statistical programming (e.g., Python, R). PySpark experience is a big plus Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. Pay Transparency Your compensation may be based on several factors, including education, work experience, and certifications. For certain roles, total compensation may include restricted stock units. Motive offers benefits including health, pharmacy, optical and dental care benefits, paid time off, sick time off, short term and long term disability coverage, life insurance as well as 401k contribution (all benefits are subject to eligibility requirements). Learn more about our benefits by visiting Motive Perks & Benefits. The compensation range for this position will depend on where you reside. For this role, the compensation range is: United States$138,000-$172,000 USD Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. Please review our Candidate Privacy Notice here . UK Candidate Privacy Notice here. The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology. #LI-Remote

When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in the global education space. For over 25 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Over 21,000 academic institutions, publishers, and corporations use our services: Feedback Studio, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education. Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines. Turnitin, LLC is an equal opportunity employer- vets/disabled. Job Description Machine Learning is integral to the continued success of our company. Our product roadmap is exciting and ambitious. You will join a global team of curious, helpful, and independent scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered Machine Learning systems. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning, teaching and integrity products. We are in a unique position to deliver Machine Learning used by hundreds of thousands of instructors teaching millions of students around the world. Your contributions will have global reach and scale. Billions of papers have been submitted to the Turnitin platform, and hundreds of millions of answers have been graded on the Gradescope and Examsoft platforms. Machine Learning powers our AI Writing detection system, gives automated feedback on student writing, investigates authorship of student writing, revolutionizes the creation and grading of assessments, and plays a critical role in many back-end processes. Responsibilities and Requirements: We expect Senior Machine Learning Scientists to be versatile and have a well-balanced set of skills. You will focus on model training and maintenance with significant capacity for research (developing novel model architectures), dataset construction, and model hardening (preparing the model and code for production pipelines). Day-to-day, your responsibilities are to: Work with subject matter experts and product owners to determine what questions should be asked and what questions can be answered. Work with subject matter experts to curate, generate, and annotate data, and create optimal datasets following responsible data collection and model maintenance practices. Answer questions and make trainable datasets from raw data, using efficient SQL queries and scripting languages, visualizing when necessary. Develop and tune Machine Learning models, following best practices to select datasets, architectures, and model parameters. Utilize, adopt, and fine-tune Language Models, including third-party LLMs (through prompt engineering and orchestration) and locally hosted LMs. Stay current in the field - read research papers, experiment with new architectures and LLMs, and share your findings. Optimize models for scaled production usage. Communicate insights, as well as the behavior and limitations of models, to peers, subject matter experts, and product owners. Write clean, efficient, and modular code, with automated tests and appropriate documentation. Stay up to date with technology, make good technological choices, and be able to explain them to the organization. Qualifications Required Qualifications: Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus. A strong understanding of the math and theory behind machine learning and deep learning. Software engineering background with at least 8 years of experience (we use Python, SQL, Unix-based systems, git, and github for collaboration and review). Machine / Deep Learning development skills, including experiment tracking (we use AWS SageMaker, Hugging Face, transformers, PyTorch, scikit-learn, Jupyter, Weights & Biases). An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families. Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field, with relevant industry experience, or outstanding previous achievements in this role. A Computer Science background is required as opposed to statistics or pure mathematics. We're an applied science group leaning towards deep learning and therefore software development proficiency is a prerequisite. Excellent communication and teamwork skills. Fluent in written and spoken English. Would be a plus: Familiarity in coding for at-scale production, ranging from best practices to building back-end API services or stand-alone libraries. Essential dev-ops skills (we use Docker, AWS EC2/Batch/Lambda). Familiarity in building front-ends (LLMs or more standard React, Javascript, Flask) for simple demos, POCs and prototypes. Experience with advanced prompting, fine-tuning or training an LLM, open-source or cloud, using industry accepted platforms (such as mosaic.ai or stochastic.ai). Showcase previous work (e.g. via a website, presentation, open source code). Additional Information The expected annual base salary range for this position is: $111,000/year to $185,000/year. This position is bonus eligible / commission-based. As a Remote-First company, actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered. Total Rewards @ Turnitin Turnitin maintains a Total Rewards package that is competitive within the local job market. People tend to think about their Total Rewards monetarily - solely as regular pay plus bonus or commission. This is what they earn in exchange for what they do. However, Turnitin delivers more than just these components. Beyond the intrinsic rewards of unleashing your potential to positively impact global education, and thriving in an organization that is free of politics and full of humble, inclusive and collaborative teammates, the extrinsic rewards at Turnitin include generous time off and health and wellness programs that offer choice and flexibility and provide a safety net for the challenges that life presents from time to time. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes. Our Values underpin everything we do. Customer Centric - We realize our mission to ensure integrity and improve learning outcomes by putting educators and learners at the center of everything we do. Passion for Learning - We seek out teammates that are constantly learning and growing and build a workplace which enables them to do so. Integrity - We believe integrity is the heartbeat of Turnitin. It shapes our products, the way we treat each other, and how we work with our customers and vendors. Action & Ownership - We have a bias toward action and empower teammates to make decisions. One Team - We strive to break down silos, collaborate effectively, and celebrate each other's successes. Global Mindset - We respect local cultures and embrace diversity. We think globally and act locally to maximize our impact on education. Global Benefits Remote First Culture Health Care Coverage* Education Reimbursement* Competitive Paid Time Off 4 Self-Care Days per year National Holidays* 2 Founder Days + Juneteenth Observed Paid Volunteer Time* Charitable contribution match* Monthly Wellness or Home Office Reimbursement* Access to Modern Health (mental health platform) Parental Leave* Retirement Plan with match/contribution* * varies by country Seeing Beyond the Job Ad At Turnitin, we recognize it's unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you're willing to learn and evolve alongside us, join our team! Turnitin, LLC is committed to the policy that all persons have equal access to its programs, facilities and employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

PTP is a fast-growing system integrator that offers strategic Customer Experience (CX) solutions to our clients. We are looking for a Senior Speech Scientist to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude and creativity as well as experience. We are a diverse organization and are looking for bright, passionate and committed professionals who strive to be the best at what they do. Responsibilities Grammar development and testing for speech enabled IVR applications using Nuance Recognizers Functioning as subject matter expert for all issues relating to speech recognition performance Supporting sales with proposals and questions around speech recognition Requirements In addition to excellent communication and client interaction skills, you should have at least 5 years of experience with: Nuance Recognizer, Nuance Dragon Voice, Nuance SpeechSuite Scripting language such as Perl Linux and Windows JavaScript/ECMAscript for grammar development and testing Desired Experience Nuance Vocalizer, Amazon Lex, IBM Watson, Google Voice, SiriKit and other NL tools SoX, Audacity or similar audio utilities Nuance Speech Server, Nuance License Manager, Genesys GVP (8.5, 9) Python or Java Speaker verification products Salary is DOE and is extremely competitive. We are a growing company with a solid customer base, excellent compensation and benefits, and a collaborative yet flexible work environment.

What You'll Do Build Vision-Language-Action models for robotics control end-to-end: data curation, careful evaluation, model architecture, training/inference stacks, rigorous experiments Collaborate with simulation and real-world robotics teams to curate high-quality, diverse, and large-scale datasets Curate the world's best Internet-scale datasets for embodied perception and first-person robot video generation Design new generative simulation techniques to expand simulation data scale and diversity, training and evaluating generative models of 3D objects and environments, and language/code models to generate tasks and reward functions Collaborate with a team of driven individuals committed to building general-purpose Physical AI What You'll Bring Passion for your craft and demonstrated excellence in full-stack foundation model research and engineering Exceptional ownership and initiative-finding and solving problems independently Extensive experience pioneering new machine learning ideas or refining existing methods, supported by first-author publications or impactful projects (5+ years) A relentless commitment to data and code quality, rigorous evaluation, and meticulous attention to detail Production-level expertise in modern Python Bonus: Experience with Vision-Language-Action models for robotics or web agents, embodied perception, or video generation

Company Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability. Founded in 2019 by Ed Harycki, former Swift Capital Founder (acquired by PayPal in 2017). Backed by Khosla Ventures and led by industry pioneers from companies such as; PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer-centric solutions. Overview Come join our AI/ML and Data Science community at Credit Genie! We are seeking a ML Scientist technical leader with a solid background in Machine Learning and the consumer risk domain, who is excited about solving challenging Machine Learning and Data Science problems and driving results while maintaining the highest bar for methodological rigor. In this role, you will have an opportunity to design and implement our company's next generation of Risk models that will have a vast impact across underwriting, fraud prevention and collections. These models are central to our business and have a direct impact on our customers every day. You will also design, execute, and evaluate new data acquisition processes as well as A/B tests and other experiments. What You'll Do Set the company's Risk Machine Learning roadmap in collaboration with our cross functional partners Own the end-to-end design and development of ML solutions that power our products' risk decisioning, driving both optimized risk outcomes and an exceptional customer experience Work with a growing team of AI/ML experts on the design and implementation of new Risk ML and feature engineering infrastructure Partner cross-functionally with Product, Analytics, Engineering, and business teams to generate actionable insights and build data-driven models that drive business impact Set and maintain the highest methodological standards for Data Science across the company Solve problems that have no clear existing solution and directly impact our customers Requirements A Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; an advanced degree is preferred 8+ years of hands-on experience in machine learning, data science, or advanced analytics Deep understanding of machine learning algorithms, statistical modeling, and data analysis techniques Strong problem-solving abilities, attention to detail, and a data-driven mindset Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences Proficiency in Python and common ML/data libraries (NumPy, pandas, scikit-learn, XGBoost, etc.) Experience with SQL and data platforms such as Snowflake, Databricks, and Tableau Benefits and Perks Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness. We believe working alongside each other in person is the best way to build a great product and foster a strong company culture. Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity. At the same time, we understand that life happens and recognize the importance of flexibility. We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules. Our goal is to ensure everyone can effectively balance personal and professional responsibilities while maintaining our collaborative and productive environment. Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees. 100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment. Monthly fitness reimbursement up to $100 or a full membership to LifeTime Fitness 401(k) with a 2.5% match and immediate vesting Meal program for breakfast, lunch, and dinner Life and accidental insurance Flexible PTO Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks. Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.

Company Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability. Founded in 2019 by Ed Harycki, former Swift Capital Founder (acquired by PayPal in 2017). Backed by Khosla Ventures and led by industry pioneers from companies such as; PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer-centric solutions. Overview Come join our AI/ML and Data Science community at Credit Genie! We are seeking a ML Scientist technical leader with a solid background in Machine Learning and the consumer risk domain, who is excited about solving challenging Machine Learning and Data Science problems and driving results while maintaining the highest bar for methodological rigor. In this role, you will have an opportunity to design and implement our company's next generation of Risk models that will have a vast impact across underwriting, fraud prevention and collections. These models are central to our business and have a direct impact on our customers every day. You will also design, execute, and evaluate new data acquisition processes as well as A/B tests and other experiments. What You'll Do * Set the company's Risk Machine Learning roadmap in collaboration with our cross functional partners * Own the end-to-end design and development of ML solutions that power our products' risk decisioning, driving both optimized risk outcomes and an exceptional customer experience * Work with a growing team of AI/ML experts on the design and implementation of new Risk ML and feature engineering infrastructure * Partner cross-functionally with Product, Analytics, Engineering, and business teams to generate actionable insights and build data-driven models that drive business impact * Set and maintain the highest methodological standards for Data Science across the company * Solve problems that have no clear existing solution and directly impact our customers Requirements * A Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; an advanced degree is preferred * 8+ years of hands-on experience in machine learning, data science, or advanced analytics * Deep understanding of machine learning algorithms, statistical modeling, and data analysis techniques * Strong problem-solving abilities, attention to detail, and a data-driven mindset * Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences * Proficiency in Python and common ML/data libraries (NumPy, pandas, scikit-learn, XGBoost, etc.) * Experience with SQL and data platforms such as Snowflake, Databricks, and Tableau Benefits and Perks Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness. We believe working alongside each other in person is the best way to build a great product and foster a strong company culture. Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity. At the same time, we understand that life happens and recognize the importance of flexibility. We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules. Our goal is to ensure everyone can effectively balance personal and professional responsibilities while maintaining our collaborative and productive environment. Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees. * 100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment. * Monthly fitness reimbursement up to $100 or a full membership to LifeTime Fitness * 401(k) with a 2.5% match and immediate vesting * Meal program for breakfast, lunch, and dinner * Life and accidental insurance * Flexible PTO Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks. Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.

Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community. Job Summary IPAC, part of the Physics, Math, and Astronomy Division at Caltech, provides science operations, user support, data and archive services, and scientific vision to enhance discovery with observatories both in space and on the ground. IPAC invites applications to the science staff from highly qualified individuals for a full-time position to work on a spectroscopic science pipeline on the wide-field instrument with the Roman team at IPAC. The Nancy Grace Roman Space Telescope is a NASA observatory designed to address key questions in the areas of dark energy, exoplanets, and infrared astrophysics. It is slated for launch in late 2026. The Roman Science Support Center (SSC) at IPAC is a part of the Roman Ground Data System, providing algorithm and software development for spectroscopic and Galactic Bulge Time Domain Survey data processing. In addition, the SSC will support the operations of the Coronagraph Instrument, manage the Roman guest investigator proposal solicitations, and provide community support for exoplanet and wide-field spectroscopy science with Roman. For more details, see: ************** ipac. caltech. edu Essential Job Duties As a scientist on the Roman Science Support Center team at IPAC, you will: Develop and test algorithms for extracting near-infrared, slitless spectroscopy taken with the wide-field instrument and the measurement and classification of galaxy spectra. Participate in the planning and implementation of observatory and science calibration and commissioning of Wide Field spectroscopy with Roman. Work with software developers to implement and test pipeline modules. Write pipeline documentation and support the user community. Participate in meetings (virtual and in-person) with the wider Roman team. Conduct independent research. Basic Qualifications If you have the following in your background, then we want to hear about your interest in joining our team: PhD degree in astrophysics or a closely related field. 2 years post-PhD experience with data processing and calibration of infrared and/or optical spectra from space observatories. Ability to work in a team environment. Good written and verbal communication skills. Qualify as a US PERSON as defined by ITAR regulations - A US person is a citizen of the United States, a lawful permanent resident alien of the US ("Green Card" holder), or an individual granted refugee or asylee status under US law. Preferred Qualifications Beyond these basic qualifications, there are a set of skills and experiences which will add to your ability to contribute to the roles and responsibilities of this position. Any of the following might give you a head start here, but even if these do not describe you or your experience, we would still like to hear from you. Reduction and analysis of slitless spectra, including spectral feature identification, decontamination and measurement. Experience in developing and testing software for inclusion in automated pipelines. Required Documents Full resume Cover letter List of three professional references Applications will be accepted until October 8, 2025. Preferred start date is December 2025 or earlier. Depending on start date, an initial remote working arrangement may be considered for up to three months. People choose to work at IPAC for many reasons, and the casual, employee-centric culture often leads to fulfilling, long-term careers and lasting relationships. Caltech's benefits program offers a quality, competitive benefits package that is affordable for you and the Institute. The program provides a strong base of coverage for you and your dependents, and the ability to choose the plan and the level of coverage that best meet your needs. We also offer a 403(b) defined contribution plan to eligible staff as well as a Voluntary Retirement Savings (TDA) Plan. IPAC staff have access to the Institute's facilities, including the athletic center, libraries, on-site daycare, professional development and enrichment classes, and Athenaeum club membership.

We're Cleerly - a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We are seeking a highly skilled Staff Scientist to lead the design, development, validation of innovative clinical workflow that can directly impact the diagnosis and treatment for heart disease. In this senior-level role, you are responsible for architecting a cutting-edge product that integrates our existing technologies while pushing the boundary of innovation in cardiac vascular imaging. You will also represent the company in strategic research collaborations with leading academic and clinical institutions, driving innovation at the intersection of AI and cardiovascular health. Responsibilities Research and develop state-of-the-art AI and non-AI algorithms for coronary CT/fluoroscopy imaging applications. Implement efficient and robust image processing pipeline to solve challenging problems in low latency environments. Translate product and clinical requirements into algorithmic specifications in collaboration with Product and Clinical teams. Partner with Regulatory Affairs to support regulatory submissions (e.g., 510(k), De Novo, PCCP), including generating evidence and documentation. Collaborate with engineering teams to deploy AI and non-AI based solutions in clinical practice. Communicate findings and strategy to internal stakeholders and leadership through clear technical documentation, presentations, and demos. Contribute to intellectual property development through patents and scientific publications. Mentor junior scientists and foster a culture of technical excellence and scientific rigor. Requirements Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field, with 5+ years combined postdoc and/or industry experience; OR an M.S. with 8+ years of relevant experience. R&D experience in medical image processing, including classical image processing algorithm, optical flow analysis, 2D&3D rigid/deformable image registration Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis). Strong experience in C++ and Python. Experience of developing and applying graph processing or GNN(graph neural network) Prior experience with ITK, OpenCV, VTK, CMake, Slicer is a plus Prior experience with cardiac motion modelling or tracking is a plus Excellent interpersonal, cross-functional, and cross-cultural collaboration skills. Preferred Qualifications 5+ years of industry experience in AI-based medical device development or clinical deployment. Experience supporting FDA regulatory submissions for ML-based software, including familiarity with De Novo, 510(k), and PCCP pathways. Deep domain knowledge in cardiovascular imaging and CT interpretation workflows. TTC*: $265k - $305k * Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). Each role at Cleerly has a defined salary range based on market data and company stage. We typically hire at the lower to mid-point of the range, with the top end reserved for internal growth and exceptional performance. Actual pay depends on factors like experience, technical depth, geographic location, and alignment with internal peers. Working at Cleerly takes HEART. Discover our Core Values: H: Humility- be a servant leader E: Excellence- deliver world-changing results A: Accountability- do what you say; expect the same from others R: Remarkable- inspire & innovate with impact T: Teamwork- together we win Don't meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company. OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. By submitting your application, you agree to receive SMS messages from Cleerly recruiters throughout the interview process. Message frequency may vary. Message and data rates may apply. You can STOP messaging by sending STOP and get more help by sending HELP. For more information see our Privacy Policy (****************************************** All official emails will come *********************** email accounts. #Cleerly

Medium's mission is to deepen understanding of the world and spread ideas that matter. We are building the best place for reading and writing on the internet-a place where today's smartest writers, thinkers, experts, and storytellers can share big, interesting ideas; a place where ideas are judged on the value they provide to readers, not the fleeting attention they can attract for advertisers. Role Overview One of Medium's core operating principles is “humans first,” but sometimes to do that we need a little help from machine learning-which is why Medium is looking for an experienced Staff Applied ML Scientist to join our team. First and foremost, you'll own Medium's recommendation systems, which serves millions of readers every day by parsing through an ocean of posts and curating perfect literary pearls for each of them. Under the hood, it's a sophisticated and modern ML pipeline, fueled by a two-tower model and separate deep retrieval and ranking stages. Beyond recommendations, you'll also develop ML models to protect our readers from the burgeoning world of AI slop and spam, explore and evangelize new applications for machine learning across Medium's business, and leverage machine learning to ensure that Medium always puts humans first. Key Responsibilities You'll help us apply machine learning thoughtfully across Medium - starting with recommendations, but extending far beyond them. You'll look for places where ML can make the reading and writing experience more personal, relevant, and human. Experiment with ideas like smarter post discovery that helps writers find their natural audience. Explore opportunities for personalization, quality detection, topic modeling, or even AI-assisted editorial curation - all grounded in improving understanding, not chasing engagement for its own sake. Work closely with design, product, and engineering partners to translate ambiguous user needs into well-framed ML problems. Drive the research. Lead with curiosity and precision. You'll design and interpret experiments, bring statistical rigor to our experimentation, and keep a critical eye on things like bias and spurious correlation in our thinking. Bring organizational leverage. Work across teams to ensure that ML improvements are well-integrated into the product, not off to the side. You'll regularly influence decision-making through cross-functional collaboration, helping product and engineering leaders spot where ML can create leverage and where it shouldn't. Own and continuously improve our recommendation systems. Evolve our two-tower retrieval and ranking stack, refine our feature set, and push on model quality, latency, and interpretability. Find new and innovative ways to use ML techniques to better serve our community of readers and writers. This might mean smarter spam and slop detection, writer quality modeling, or intelligent routing of human moderation. The goal: keep Medium a place where humans thrive, not bots. Positively contribute to the broader culture and data ecosystem at Medium. Mentor others, document your work with clarity, and help raise the bar for how we think about, design, and deploy ML systems. Share learnings generously and make the people and systems around you better. Attend Medium's twice-yearly, in-person offsites (hosted in locations around the U.S.). Skills, Knowledge and Expertise You've been designing and building software for at least 7 years, with at least 3 years focused on architecting and shipping consumer-facing ML models. You have experience integrating ML into end-user products (recommendation, ranking, personalization, moderation). You have a proven track record of developing and deploying ML models that deliver measurable business and user impact, not just theoretical gains. You embody the “applied” in applied ML: You enjoy the research, but love seeing models ship, move metrics, and make people's experiences better. You're fluent in Python and ML libraries such as TensorFlow, HuggingFace Transformers, and scikit-learn. You're comfortable taking models from notebook to production. It's a huge added bonus if you have experience with Apache Spark for distributed or large-scale training. You're an excellent collaborator, able to translate between data, product, design, and engineering worlds, helping non-ML partners see what's possible (and what's not). You're excited to be “the voice of ML” in business and product conversations. You're skilled at identifying and evangelizing high-leverage ML opportunities across the organization, from recommendation systems to new personalization or quality signals. You have hands-on experience with modern model architectures and techniques e.g., feature interaction modeling, advanced negative sampling and bias correction techniques, and efficient large-scale candidate retrieval. (Bonus) You're curious about content discovery, publishing, or online communities, and have a soft spot for writing, ideas, and helping great work get found. Nice to Haves Experience with modern recommender systems. Experience utilizing modern AI tooling to accelerate development efforts. A passion for online writing, publishing, or long-form content. Familiarity with Medium, as a reader, writer, or both! Benefits In addition to the new skills you'll pick up, here's what else you'll enjoy by working at Medium: Working with a fully distributed team: We're fully remote and have teammates across the U.S. & France. Healthcare benefits covered at 100% for employees and 70% for dependents. Generous parental leave policy. Mental health support through Talkspace. Financial wellness support through Northstar. Stipends for co-working, professional development, wifi, and a one-time home office bonus. Unlimited PTO and standard company holidays. A discounted Medium membership! At Medium, inclusion, diversity, and equity are core to how we work and what we build. We believe a more inclusive team creates a better product-one that's intuitive, thoughtful, and serves a wide range of users. We strive to foster a supportive, fun, and challenging environment where people from all backgrounds can thrive. We welcome applicants from all walks of life and strongly encourage those from historically underrepresented groups to apply. Our hiring process is built to ensure fairness and equal opportunity for everyone. Even if your experience doesn't match every requirement, we'd still love to hear from you-your perspective and passion matter more than checking every box. Learn more about our mission, operating principles, and culture: Yes to a diverse community Be part of a better internet Medium Rules Operating Principles Read about our story here. Please note: We've been made aware that our job postings may appear on third-party sites that are not affiliated with our company. To ensure your application is received and reviewed, please apply directly through our official Greenhouse careers page. We do not collect applications through external job boards or services that request your personal information outside of Greenhouse. Additionally we request that all applications and supplemental questions be filled out directly by applicants themselves without the use of AI assistance. Salary Range$250,000-$300,000 USDGDPR Notice We will process your personal data as part of our recruitment process, in accordance with the General Data Protection Regulation (GDPR). For details on how we use your data, including the legal bases for processing, how long we retain it, and your rights under GDPR, please refer to our Privacy Notice. We may retain your information for future job opportunities based on our legitimate interest in building a talent pool. You can object to this at any time by contacting us at *********************. CCPA Notice If you are a California resident, you have rights under the California Consumer Privacy Act (CCPA), as amended by the California Privacy Rights Act (CPRA). These include the right to know what personal information we collect about you, the right to request deletion or correction of your data, and the right to opt out of certain uses. During the hiring process, we may collect personal information such as your name, contact details, resume/CV, employment history, education background, and any information gathered through interviews or assessments. We may share this information with service providers who support our recruitment process, in compliance with CCPA/CPRA. This information is used solely for recruitment and hiring purposes. We do not sell or share your personal information as defined under CCPA/CPRA. Candidate data is retained for up to 48 months for our legitimate business purposes and in accordance with applicable laws. To exercise your rights or request more information, please contact us at *********************. This notice can also be found on our Privacy Notice.

The Observability Data Platform (ODP) powers the core of Datadog's telemetry systems, handling exabytes of multimodal observability data. As AI agents become first-class consumers of telemetry, ODP is evolving to meet their demands - scaling with explosive data growth, exposing new query mechanisms, rethinking how telemetry is stored, transformed, and served, and enforcing guardrails that ensure security and reliability. Our team's new focus is to build an intelligent control plane for production systems. This involves moving beyond passive monitoring to create a platform where AI agents can safely and effectively take action in live environments. To achieve this, we are integrating techniques from symbolic reasoning, formal methods, and generative AI. We are looking for an experienced Staff Applied Scientist with a background that spans systems engineering, AI, and formal reasoning. You have expertise in areas like causal modeling, generative simulation, runtime verification, or reinforcement learning, and are motivated to apply these skills to build reliable systems. You will join the team behind Datadog's most ambitious projects: evolving observability infrastructure for stochastic, self-improving systems. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Design and prototype intelligent systems for AI-native observability, including cost-aware agent orchestration, adaptive query execution, and self-optimizing system components. Lead efforts to apply reinforcement learning, search, or hybrid approaches to infrastructure-level decision-making, such as autoscaling, scheduling, or load shaping. Collaborate with AI researchers and platform engineers to design experimentation loops and verifiers that guide LLM outputs using runtime metrics and formal models. Explore emerging paradigms like AI compilers, “programming after code,” and runtime-aware prompt engineering to inform Datadog's infrastructure and product design. Help define the direction of BitsEvolve - Datadog's optimization agent that uses LLMs and evolutionary search to discover code improvements, optimize GPU kernels, and tune configurations to improve performance. Partner with product teams and platform stakeholders to ensure scientific advances translate into measurable improvements in cost, performance, and observability depth. Who You Are: You have a BS/MS/PhD in a scientific field or equivalent experience You have 8+ years of experience in systems engineering, database internals, or infrastructure research, including hands-on experience in a production environment You have a strong software engineering foundation, ideally in C++, Rust, Go, or Python, and are comfortable writing performant, maintainable code You have deep expertise in at least one of the following areas: query optimization, data center scheduling, compiler design, reinforcement learning, or distributed systems design You have experience applying search, planning, or learning techniques to solve real-world optimization problems You are excited by systems that learn, adapt, and improve over time using feedback from runtime metrics and human-defined objectives You are hypothesis-driven and enjoy designing experiments and evaluation loops, whether through simulations, benchmarks, or live systems You thrive in ambiguity, enjoy reading papers and building prototypes, and want to help shape the future of infrastructure in the AI era You enjoy collaborating across research, engineering, and product to bring scientific insights to practical outcomes Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development. Have a lot of influence on product direction and impact on the business . Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn Competitive global benefits Continuous professional development Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is:$234,000-$300,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

About KariusKarius is a life science, venture-backed clinical metagenomics company, focused on elevating patient care through microbial insights. We are committed to advancing diagnostic science and technology to optimize the diagnosis and treatment of infectious diseases. Through the use of genomics and AI, we are driven to improve the diagnostic landscape for infectious diseases. Karius delivers unprecedented diagnostic insight detecting microbial cell-free DNA circulating in the body to assist physicians to make rapid treatment decisions. Why Should You Join Us?Karius' core mission is to conquer infectious diseases through innovations around genomic sequencing and machine learning. The company's platform is already delivering unprecedented insight into the microbial landscape, providing clinicians with a comprehensive test capable of identifying more than a thousand pathogens directly from blood. Through this journey, we realized that the microbial cell-free DNA platform may hold value that goes well beyond the direct diagnosis of infections. You, as part of the Karius team, will be able to see the immense opportunity to expand the human knowledge around this emerging topic and apply it directly to critical problems in human health and disease. Position SummaryYou are highly curious, creative, and driven by a desire for continuous growth with the ultimate goal of making a meaningful impact on patients' lives. As a key and integral member of the Computational Biomarker Discovery team, you will focus on deeply exploring and analyzing the complex biological interplay between diverse conditions and molecular data. In this role, you will help unlock and help unlock preliminary biological signatures to inform translational science and precision medicine beyond the conventional infectious disease arena, and into areas such as autoimmune and cancer. You will design analysis plans, execute computational workflows, partner for method and machine learning model development, and integrate biological rationale with data-driven insights to uncover meaningful connections. You bring a passion for applying technology in novel ways, generating innovative hypotheses, and revealing hidden patterns in data. Your curiosity and analytical rigor will drive discoveries that push the boundaries of biomarker research and patient care. Reports to: Director, Computational Biomarker Discovery Location: Redwood City, CA (Hybrid) or Remote (USA) Primary Responsibilities• Lead data analysis and interpretation of complex biological datasets, including next-generation sequencing (NGS), metagenomics, transcriptomics, fragmentomics, and single-cell analysis.• Create or adapt computational tools and algorithms to support biomarker discovery and workflows.• Drive bioinformatics aspects of cross-functional research projects in collaboration with scientific and medical leaders, under the guidance of the Director of Computational Biomarker Discovery.• Conduct deep exploration of the biological interplay between molecular data and disease conditions, generating insights to advance translational science.• Deliver preliminary biological signatures that inform precision medicine applications beyond infectious disease, including autoimmune disorders and oncology.• Partner in experimental design by defining analysis plans, selecting appropriate methodologies, and executing computational analyses with a strong grounding in biological rationale.• Collaborate closely with scientific, medical, engineering, and commercial teams to set company goals and support the development of new partnerships and products.• Ensure high standards of data integrity, quality control, and validation, while maintaining rigorous quality documentation and dissemination of scientific findings.• Provide clear visibility into areas of ownership and communicate weekly progress and results to stakeholders.• Continue to grow and learn in the necessary biological/scientific domains and technological aspects of the field through novel knowledge acquisition but also staying current with the latest relevant literature.• Share enthusiasm for exploring novel applications of Karius' technology platform to drive innovation and impact. What's Fun About the Job?Karius is operating at the edge of what is now known to be possible in infectious disease diagnostics. With that, comes a wave of new and incredible challenges and opportunities. To deliver on that value, you will be tapping into some of the most advanced technologies, architecting and innovating where the current solutions simply don't suffice. You will get to see how much your work really matters. Travel: Travel to HQ on a quarterly basis if remote. Physical RequirementsSubject to extended periods of sitting and/or standing, vision to monitor, and moderate noise levels. Work is performed in an office environment. Position Requirements• Ph.D. in computer science, statistics, mathematics, physics, genetics, bioinformatics, metagenomics, or related fields (preferably with a focus on computational biology or machine learning) with 3+ years of postdoctoral and/or industry experience; OR Master's degree with 5+ years of directly relevant industry experience.• Publications demonstrating the use of innovative mathematical or computational models to investigate and interpret biological and biomarker data.• Strong background in modern statistics and machine learning, including applications to biomarker discovery.• Proven proficiency with high-dimensional, large-scale datasets characterized by low signal-to-noise.• Demonstrated excellence in communication and collaboration within cross-functional, multidisciplinary teams.• Self-starter with the ability to independently drive results and influence project direction.• Evidence of innovation in connecting biological insights to complex mechanisms of microbiome and host-environment interactions.• Deep understanding and hands-on experience with bioinformatics tools, methods, and workflows, especially those related to next-generation sequencing (NGS) data analysis.• Familiarity with exploratory study and clinical trial designs and analyses, particularly in pharmaceutical or biotechnology applications. Personal Qualifications• Passionate, purpose-driven, and excited about Karius' mission: to conquer infectious diseases through innovations around genomic sequencing and machine learning.• Excellence at communication and collaboration within a cross-functional team.• Detail oriented with exceptional organizational and time management skills.• Self-starting mentality and ability to drive results.• Comfortable working in an environment which combines both research aspects as well as development.• Ability to work effectively and efficiently in a fast-paced (startup) environment. DisclaimerThe above is intended to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to be an exhaustive list of all duties, responsibilities, and skills required. Responsibilities and duties may change or be adjusted to meet the needs of the company, and additional duties may be assigned as necessary. The job description is subject to change at any time at the discretion of Karius. Equal Opportunity EmployerAt Karius, we value a diverse and inclusive workplace and provide equal employment opportunities for all applicants and employees and are committed to honor and invest in the full diversity of people, in our hiring, recruiting and development of employees across the Company. All qualified applicants for employment are encouraged to apply and will be considered without regard to an individual's race, color, sex, gender identity and gender expression (including transgender individuals who are transitioning, have transitioned, or are perceived to be transitioning to the gender with which they identify), religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application due to a disability, please contact us at *********************** and we will accommodate qualified individuals with disabilities.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Adobe has a world-class research that provides an ideal balance of academic discovery and industry impact: that's what drives our groundbreaking work at Adobe Research. Our research scientists, engineers, artists and designers shape experimental ideas into innovative technologies for Adobe Products. During the past 25 years, Adobe PDF has been a defacto digital format for sharing and distributing documents in reliable manners. Adobe Document Cloud is revolutionizing the way the world works with documents and is growing rapidly. As we enter in the new era of AI-powered digital businesses, we continue to strive to invent, design and productize the documents of the future and redefine the user experiences around the documents. This is a pivotal moment to shape how Large Language Models (LLMs), Vision-Language Models (VLMs), and Multimodal Large Models (MLLMs) redefine document understanding, creation, and collaboration. Adobe's Document Intelligence Lab (DIL) is at the forefront of this transformation, pioneering AI technologies that make documents not only readable-but reasoning, adaptive, and agentic. What you'll Do As a Senior Research Scientist in Document Intelligence Lab (DIL), you will provide technical leadership in research, architect and develop machine learning solutions at scale in the following areas: * Conduct foundational and applied research in generative modeling, multimodal learning, and document understanding-including text, layout, structure, and visual semantics. * Develop scalable architectures and pipelines leveraging LLMs, VLMs, and MLLMs for intelligent document summarization, authoring assistance, workflow automation, and multi-document reasoning. * Invent new paradigms for AI-powered document collaboration, where models understand user intent, context, and goals-transforming documents into living, interactive experiences. * Work closely with cross-functional teams in Document Cloud, Acrobat, and Creative Cloud to translate research breakthroughs into product innovations. * Publish research in top-tier conferences and drive the frontier of AI for productivity, creativity, and communication. * Mentor junior researchers and foster collaboration across Adobe Research and product organizations globally. What You Bring * PhD or equivalent research experience in machine learning, computer vision, natural language processing, multimodal AI, or related fields. * Proven track record in deep learning architectures, large-scale training, post-training alignment (SFT, RLHF, RLAIF), or retrieval-augmented generation (RAG). * Experience working with foundation models (LLMs, VLMs, or MLLMs) and understanding their limitations, opportunities, and adaptation for enterprise-scale document tasks. * Strong publication record in leading conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV, ICLR). * Passion for bridging academic research with real-world applications and shaping the next generation of AI-driven document experiences. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $162,000 -- $301,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

Senior Bioanalytical Scientist, LC-MS Salary: $100,000 to $130,000 per year Pharmaron is a global CRO (Contract Research Organization) helping pharma and biotech companies bring new therapies to life. With over 21,000 employees worldwide across 23 locations in the US, UK and China, we support drug discovery through to manufacturing with fully integrated, high-quality services. We're proud of the impact we make and just last year, we supported over 780 discovery projects, 1,000+ CMC programmes, and 1,000+ clinical trials across all phases. Our teams are involved in everything from small molecules, ADC's, biologics, and gene therapies and we work with more than 3,000 global customers. To learn more, visit ****************** Responsibilities: The senior scientist will lead the execution of LC-MS/MS assay development, validation, and sample analysis activities. Contributes to the training, monitoring, and mentoring of staff as necessary Prepares data tables and reports within Laboratory Information Management Systems (Watson™) Participates in data transfers, pre-clinical and clinical data management tasks Prepares or reviews standard operating procedures for use by the Company, as required Always complies with company Standard Operating Procedures unless specifically defined and approved in the study-specific assay validation or sample analysis plan Assists in training personnel in the operation, maintenance, and troubleshooting of laboratory equipment May perform Principle Investigator (PI) activities such as: Serves as main point of contact with sponsors for all assigned study related deliverables Hosts regularly scheduled client teleconferences throughout the course of the study Assists in reviewing the laboratory manual, clinical protocol, data transfer agreement and other miscellaneous documents prepared by sponsor and/or clinic Oversees the project by designing the experimental approach, overseeing the experimental execution, collating, and interpreting scientific data and generating study reports, working in close co-operation with study sponsors at all stages Carries out laboratory tasks, working with other laboratory staff to progress study-specific experimental work and, as necessary, to support non-study-specific laboratory duties Works closely with the sample management team in sample login as well as transfer, storage, and disposal of the study samples If required, draft bioanalytical report for method validation and study sample analysis. Works closely with Quality Assurance team in scheduling study data and report audit, critical phase inspection and collaborating with team members in addressing each of the study findings Assists in archiving study related documentation, including email correspondence and electronic raw data files May train and assist other lead scientist in study related investigation Provides scientific and technical support to colleagues in the Business Development group, as required. This may involve participation in client visits, both inbound and outbound as well as attending and presenting at scientific conferences. What We're Looking For: PhD; Master of Science OR Bachelor of Science in relevant field. A minimum of 5 years experience in LC-MS large molecule bioanalysis method development. Experience working in a CRO environment. Knowledge of Good Laboratory Practice (GLP) regulations (21 CFR part 11 and 58) and Good Clinical Practice (GCP) regulations Why Pharmaron? Pharmaron is a premier service provider for the life sciences industry. Founded in 2004, Pharmaron has invested in its people and facilities and established a broad spectrum of research, development, and manufacturing service capabilities throughout the entire drug discovery, preclinical, and clinical development process across multiple therapeutic modalities, including small molecules, biologics, and CGT products. With over 21,000 employees and operations in the U.S., the U.K. and China. Pharmaron has an excellent track record in delivering R&D solutions to its partners in North America, Europe, Japan, and China. Collaborative Culture: You will thrive in our inclusive and collaborative environment, where teamwork and innovation go hand in hand. Here, your voice matters, and your contributions make a real impact. "Employees Number One" and "Clients Centred" are the core cultural values at Pharmaron. Our culture, which sets Pharmaron apart from other organizations, has evolved from our deep commitment to our employees, partners, and collaborators. Benefits: As part of our commitment to your well-being, we offer a comprehensive benefits package: Insurance including Medical, Dental & Vision with significant employer contributions Employer-funded Health Reimbursement Account Healthcare & Dependent Care Flexible Spending Accounts 100% Employer-paid Employee Life and AD&D Insurance, Short and Long Term Disability Insurance 401k plan with generous employer match Access to an Employee Assistance Program How to Apply: Ready to seize this incredible opportunity? Join us at Pharmaron and be part of a dynamic team driving innovation and excellence in biopharmaceutical research and development. Apply online today! As an Equal Employment Opportunity and Affirmative Action employer, Pharmaron values diversity and inclusion in the workplace, fostering an environment where all individuals are empowered to succeed. Join us in our mission to make a difference in the world of life sciences. #LI-JB1

The Senior Research Associate in Antibody Discovery is responsible for advancing our antibody discovery programs by supporting and executing various laboratory-based activities, including phage display, antibody production, and downstream characterization. DUTIES AND RESPONSIBILITIES: Perform high-throughput screening of antibody libraries using techniques such as phage display. Conduct binding and functional assays (e.g., ELISA, flow cytometry, SPR, BLI) to characterize antibody-antigen interactions. Express, purify, and analyze antibodies using molecular biology, protein expression, and purification techniques (e.g., PCR, cloning, transient/stable transfection, chromatography). Analyze experimental data and present findings to the team. Maintain accurate and detailed laboratory records, including experimental procedures, results, and conclusions. Contribute to the preparation of technical reports, presentations, and scientific publications. Participate in project meetings and contribute to the design and planning of experiments. Communicate effectively with team members and external collaborators. EXPERIENCE AND QUALIFICATIONS: Bachelor's degree in Molecular Biology, Biochemistry, Immunology or related area is required. Master's degree is preferred. A minimum of two years of hands-on laboratory experience in antibody discovery or a related field. Industry experience is a plus. KNOWLEDGE, SKILLS AND ABILITIES: Proficiency in molecular biology techniques (e.g., cloning, PCR, site-directed mutagenesis). Experience with antibody screening and characterization assays (e.g., ELISA, flow cytometry, SPR, BLI). Familiarity with protein expression and purification methods (e.g., mammalian, bacterial, or yeast expression systems). Strong analytical and problem-solving skills. Demonstrated aptitude for learning of and adhering to standard laboratory techniques and safety precautions. Solid communication (written and verbal) skills regardless of the format (e.g., documents, public speaking situations, presentations, etc.). Excellent organizational, planning, and time management skills with the ability to manage multiple and often changing priorities and issues of varying complexity, while meeting time-sensitive deadlines and deliverables. Attention to detail with demonstrated commitment to excellence and performance. Demonstrated propensity to be creative, collaborative, proactive, and self-motivated in the execution and completion of assigned tasks. Ability to work both independently and as an effective team member. Ability to execute complex experiments with limited guidance. Ability to identify issues and troubleshoot solutions. Solid data analysis skills. Sound knowledge of MS Excel. Knowledge of GraphPad Prism and SharePoint a plus. Basic knowledge of statistics. PHYSICAL DEMANDS: While performing the duties of this job, the individual is frequently required to sit and stand for long periods. The individual is occasionally required to walk; use hands and fingers to operate, handle, or feel objects, tools, or controls; reach with hands and arms. Up to 75% of the day may be spent at a lab bench. There are aspects of the position's duties that require a person in this role to work at heights above four (4) feet on occasion and move/lift up to 25 pounds. WORK ENVIRONMENT: Laboratory environment working with chemical reagents and performing some Biosafety Level 2 work. May involve handling of BSL-2 materials and organisms including human blood and/or blood products.

Granules Pharmaceuticals, Inc., is seeking a detail-oriented and scientifically driven Sr. Scientist to join our team in the area of Analytical Method Development and Validation. The ideal candidate will possess strong expertise in developing and validating analytical methods for assay, related compounds, residual solvents, dissolution, and particle size analysis. Proficiency in Mass Spectroscopy and peptide testing is essential, with experience in bioassay methodologies considered a plus. This role requires a solid understanding of scientific principles to troubleshoot and solve analytical challenges, as well as experience in drafting and reviewing method validation protocols and reports in compliance with SOPs and regulatory guidelines. Strong communication skills and the ability to interpret technical procedures, FDA guidance documents, and scientific literature are essential for success in this role. JOB DUTIES & RESPONSIBILITIES include but not limited to: With minimal supervision, perform the analytical method development and method validation for dissolution, assay, and related compounds of raw material and finished products. Develops and validates methods to determine purity, potency, identity, residuals, and characterization of peptide products. Ability to individually work on development and validation for Reversed-Phase, Ion Exchange, and Size Exclusion chromatography using UPLC/HPLC/MS. Draft the analytical method validation protocols and reports Performs testing pharmaceutical raw materials, bulk and finished products, scale-up samples, process validation samples, cleaning verification/validation samples, and stability samples to support formulation development. Responsible for the timely and accurate execution of lab analysis. Independently compile the analytical data, make sound judgment of the data and interpret the data, and notify the results to manager/Director. Maintaining full compliance with all applicable US FDA - cGMP regulations and internal SOPs. Maintain laboratory notebooks and records of all the raw data as per Good Documentation Practices. Assists with training other junior members of the analytical development team as needed Maintain individual training records. Follow safety procedures and practices. Maintain a clean, orderly work environment. Works with computer-controlled equipment and processes. Performs other work-related duties as assigned Perform in-vitro dissolution testing for in-process, finished product and stability samples. Execute method transfer activities for raw materials and finished dosage forms. Ensures compliance with SOPs, policies and procedures required by the Company and regulatory agencies. Document experiments accurately and complete all associated documents (Instrument, Standard and Column usage logbooks) in compliance with internal SOPs and FDA guidelines. Evaluate test results against standards and timely reporting of any deviations, OOS, OOT and atypical results to the supervisor/department head. Other duties assigned by management based on requirements. Management Responsibility Assign daily work schedule in timely manner Provide Suggestions in method Development and validation. Interpret and review generated results Provide assistance in professional development. Reports to: Manager Analytical R&D Requirements Knowledge & Skills: Hands-on experience in Dissolution, HPLC, LC-MSGC, UV, FTIR, and other laboratory instruments. Experience with a wide variety of software and information systems (e.g. Empower, Microsoft word and Excel). Strong knowledge in analytical method development and validation under cGMP environment and experience in problem-solving skills and instrument troubleshooting. Good oral and written communication skills and the ability to write and review technical report Proven Knowledge of the major analytical techniques and operation of instruments such as HPLC, GC, dissolution, FT-IR, UV-VIS Spectrophotometer, Particle size analysis (Malvern Mastersizer, Sonic sifting and Sieve shaker), Karl Fisher Instrument, Potentiometric Titration, Density meter, pH meter, Melting point apparatus, Analytical Balances, Viscometer Proficient in documentation as per Good Documentation Practice Computer skills including Microsoft and Excel Excellent verbal and written communication and skills Experience & Education: Bachelor's degree in Analytical Chemistry or Chemistry or related field with 4+ years or MS/PhD with 2+ years of GMP and GLP-related pharmaceutical industry experience in Peptide and small molecule solid oral formulation analytical development. Knowledge of Good Manufacturing Practices (cGMP) Experience with software and information systems (e.g. Empower, Microsoft word and Excel) Physical Requirements/Working Environment Must be able to stand for long periods of time (up to 12-hour shifts), maneuver at least 40 pounds, wear a respirator and pass associated respirator tests and/or requirements, and be able to wear all required PPE. Vision - ability to see details at close range (within a few feet of the observer). Physical Requirements/Working Environment: Must be able to stand for long periods of time (up to 12-hour shifts), maneuver at least 40 pounds, wear a respirator and pass associated respirator tests and/or requirements, and be able to wear all required PPE. Vision - ability to see details at close range (within a few feet of the observer). Disclaimer: The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

Range is creating AI-powered solutions to eliminate financial complexity for our members. We're transforming wealth management through the perfect blend of cutting-edge technology and human expertise. We're obsessed with member experience! We've built an integrated platform that tackles the full spectrum of financial needs-investments, taxes, retirement planning, and estate management-all unified in one intuitive system. Backed by Google's Gradient Ventures and Cathay Innovations, we're in hyper-growth mode and looking for exceptional talent to join our starting lineup. Every Ranger at this stage is shaping our culture and way of life-from former CEOs and startup founders to experts from leading hedge funds and tech companies. If you're ready to build something that truly matters in financial services, bring your talent to Range. Here, you'll make a genuine impact on how people manage their financial lives while working alongside a team that celebrates wins, makes big decisions, and blazes new trails together About the role Range is hiring for an Applied Scientist to accelerate our best-in-class AI system that delivers and automates financial products and solutions across the entire wealth management spectrum. This engineer will work with our AI team to both build and strategically influence the technology that ultimately powers Range's disruptive platform. The ideal candidate has experience designing and deploying production-grade AI systems that are reliable, scalable, and aligned with real-world customer needs. As an AI engineer, you will lead efforts across the entire AI ecosystem-from data strategy and model fine tuning to deployment and monitoring-while working closely with product and engineering teams. You will help define our AI roadmap, set technical direction, and build systems that are both technically robust and grounded in our product philosophy. You will also collaborate with other technical leaders to elevate the company's AI and engineering standards. We're excited to hire this role at Range's Headquarters in McLean, VA, or one of our hub locations in New York City, or Seattle. All of our positions follow an in-office schedule Monday through Friday, allowing you to collaborate directly with the team. If you're not currently based in one of these areas but love what you see, let's discuss relocation options as part of your journey to joining us. What you'll do with us Improve the accuracy, reliability, and sophistication of our AI-generated responses by iterating on models, prompts, and evaluation frameworks Partner with product and engineering teams to design and develop new AI-first features that help users make better financial decisions Help shape our data strategy, including how we collect, label, and leverage structured and unstructured data to train and evaluate models Bring modern best practices in applied AI and machine learning to the team, and help us stay at the frontier as the AI landscape evolves What will set you apart Hands-on experience with modern LLMs and a strong perspective on their strengths, weaknesses, and evolving capabilities Experience building production AI features such as retrieval-augmented generation (RAG), autonomous agents, user-facing chat interfaces, or task automation systems Deep understanding of prompt engineering, evaluation techniques, vector databases, and orchestration frameworks like LangChain Familiarity with fine-tuning, embedding models, and techniques to ground AI outputs in proprietary or financial datasets Fluency with AWS services including EC2, ECS, RDS, DynamoDB, S3, and CloudWatch-or equivalent cloud platforms Strong product sense: you're motivated by helping users get smarter, faster answers-not just pushing the boundaries of ML for its own sake Proven ability to tackle ambiguous problems, work independently, and bring structure to chaos in a fast-moving startup environment Bonus points for experience with security, regulated industries like fintech, or building AI systems that meet compliance and reliability standards Benefits Health & Wellness: 100% employer-covered medical insurance for employees (75% for dependents), plus dental and vision coverage 401(k): Retirement savings program to support your future Paid Time Off: time to reset and recharge + most federal holidays Parental Leave: Comprehensive leave policy for growing families Meals: Select meals covered throughout the week Fitness: Monthly movement stipend Equity & Career Growth: Early exercise eligibility and a strong focus on professional development Annual Compensation Reviews: Salary and equity refreshes based on performance Boomerang Program: After two years at Range, you can take time away to start your own company. We'll hold your spot for 6 months - and pause your equity vesting, which resumes if you return Range is proud to be an equal opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. As a company, we are committed to designing products, building a culture, and supporting a team that reflects the diverse population we serve.

See yourself at Dataminr As a Research Scientist you'll be working on some of the most challenging AI problems in real-time event detection and directly contributing to products while advancing the state of the art. You'll architect and implement Generative AI and Agentic AI and knowledge graph features for our real-time alerting platform. This critical role involves developing innovative solutions that enable seamless external and internal data consumption and deliver high-impact insights. This role can be remote anywhere in the US or based out of our New York City office. AI Innovation at Dataminr Working at Dataminr you'll have the opportunity to tackle the most exciting trends in AI on a daily basis to power a revolutionary product that uncovers critical events around the world as they unfold. Regenerative AI: our AI technology, ReGenAI, is a new form of generative AI that automatically regenerates real-time Live Event Briefs as events unfold. Learn more here. Agentic AI: we recently launched our Agentic AI capability, what we're calling our Intel Agents, that autonomously generates critical context for our clients on real-time events, threats, and risks allowing them to see the clearest, most accurate view of what's happening on the ground. Learn more here Multimodal AI: our platform detects events from many different types of data (images, video, sensor data, audio, and text in over 150 languages). Learn more here. The opportunity Perform research to advance the state of the art and solve specific problems at scale in one or more of the following areas: Agentic AI, Large Language Models, Natural Language Processing, Time-Series Modeling, Machine and Deep Learning, Entities Recognition and Alignment, Information Extraction, and Knowledge Graphs. Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products). Contribute to the research community via publications in top tier venues, participation in program committees, etc. Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice and have significant impact. Productionize and ship research into Dataminr's products, and thus to its users worldwide. Senior candidates are expected to lead technical areas and/or people. What you bring At Dataminr, we value you for who you are. We encourage you to apply for this role, even if you don't meet every qualification. Our candidates are reviewed on the basis of their skill and potential to succeed. Ph.D. in Computer Science or related field Experience in one or more of the following topics: AI for cyber security, LLMs, agentic AI, generation, machine translation, summarization, topic detection & tracking, text classification, knowledge extraction/representation/management, trending topic detection, search, machine learning and deep learning, etc. Outstanding publication record (IEEE, AAAI, NeurIPS, CVPR, ACL, TACL, EMNLP, WWW, etc.). Demonstrated ability to work independently, set up experiments and demonstrate progress through principled use of metrics. Proficiency in Python and experience with relevant AI/ML libraries and frameworks such as PyTorch, Hugging Face Transformers, and LangGraph. Experience with LLM serving technologies such as vLLM is a plus. #LI-BM #LI-REMOTE About Dataminr At Dataminr, we are a mission driven team of talented builders, creators and visionaries who have real-world impact on how organizations are able to respond to events. Dataminr's groundbreaking, AI-powered, intelligence platform provides organizations with the earliest signals of emerging risks, events, and threats before they unfold. Trusted by two-thirds of the Fortune 50 and half of the Fortune 100, Dataminr's platform analyzes billions of public data inputs spanning text, image, video, audio and sensor data across 150+ languages, empowering our clients to stay one step ahead in an increasingly complex world where every second counts. Founded in 2009, we have pioneered the world's first real-time event detection platform, long before the recent Gen AI ‘boom.' Dataminr operates all around the world united by our passion to use AI for the greater good, be agents of positive change and put our technology into the hands of clients charged with the responsibility to keep organizations running and keep people safe. As our employees focus on developing our revolutionary technology, we focus on our employees. Dataminr is proud to offer a variety of flexible work arrangements, offices all over the world to foster collaboration, generous PTO and sick leave, and more, as part of our competitive benefits package aimed at keeping all our employees happy and healthy. Explore all our benefits here. We believe our differences give us strength. Our employees are empowered to be their best, authentic selves through various opportunities, such as our robust employee resource group (ERG) network, manager development programming, professional development funds, and more. We serve a global community made up of many cultures and strive to reflect the world and clients we serve, with a workforce built on merit and equity. We actively condemn racism and discrimination in any form. We stand for social good, fostering a culture of allyship, and standing up for those who face systemic barriers to equality. We lead with empathy and strive to be agents of positive change in our company and in our communities. The annual base salary range for this position is $160,000 - $234,000. You will also be eligible to receive a discretionary bonus and Company equity. Actual salary will be based on a number of factors including, but not limited to, geographic location, applicant skills, and prior relevant experience. Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status. Dataminr will collect and process your personal data. All personal data will be processed in accordance with applicable data protection laws. Please see Dataminr's candidate privacy notice available here. By providing your details and applying via our careers website, you acknowledge that you have read our candidate privacy notice. If you have any queries, please contact the People Team at *************** or privacy@dataminr.com .

Career CategoryScientificJob DescriptionJoin Amgen's Mission of Serving Patients At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Senior Principal Scientist - Global Diagnostic Development Lead What you will do Let's do this. Let's change the world. In this vital role you will be responsible for the development and implementation of Diagnostic (Dx) development strategies globally. Integral to the ongoing success of Amgen's growing pipeline, the Diagnostics (Dx) Group is responsible for the successful transition of a biomarker assay to marketed Diagnostic to support the clinical development strategy for regulatory approval and commercialization. As such, the Dx group works closely with other functions within Amgen to identify the appropriate partners for diagnostic test development. We are looking for individuals with experience in driving end-to-end diagnostic development strategies and developing life cycle management plans that align to the needs of their corresponding precision therapeutics programs. The Diagnostic Development Lead role at Amgen requires a breadth of technical expertise across a broad range of in-vitro diagnostic technologies, influencing decision-making through negotiation, and addressing conflict by building productive working relationships across functional areas both within and outside the company. This position will report to a Global Diagnostics Strategy Director and be responsible for the successful implementation of the CDx strategy across multiple therapeutic areas with a focus on oncology. Responsibilities: Execute end-to-end global diagnostic development strategies to support therapeutic product teams, including regulatory approval, commercialization, and diagnostic lifecycle plans Lead efforts to oversee assay development and assay transfer to CROs with diagnostic partners Support diagnostic development options, technologies, and diagnostic market landscape assessment Work with key cross-functional partners to implement diagnostic development, approval and launch strategies for the product teams together with third-party diagnostic partners and ensure successful implementation of the overall Dx strategy globally What we expect of you We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a leader with these qualifications. Basic Qualifications: Doctorate degree and 2 years of pharmaceutical and/or diagnostics experience Or Master's degree and 4 years of pharmaceutical and/or diagnostics experience Or Bachelor's degree and 6 years of pharmaceutical and/or diagnostics experience Or Associate's degree and 10 years of pharmaceutical and/or diagnostics experience Or High school diploma / GED and 12 years of pharmaceutical and/or diagnostics experience Preferred Qualifications: Effective presentation and communication skills at the senior/executive management level Experience in oncology precision medicine development and / or in vitro diagnostics development Experience in companion diagnostics development and knowledge of regulatory submission requirements of in vitro diagnostic devices in multiple markets preferred Knowledge and experience in clinical trial design preferred Experience integrating data from multiple sources and identifying critical process variables Experience establishing and reviewing complex plans for multiple projects or activities. This includes resource allocation, complex timeline development, risk identification and mitigation Experience in digital pathology is a plus What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans Flexible work models, including remote and hybrid work arrangements, where possible Apply now and make a lasting impact with the Amgen team.careers.amgen.com In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Application deadline Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. . Salary Range 170,056.00 USD - 200,516.00 USD