Lead Scientist remote jobs - 359 jobs

About Us At Matterworks we are building AI tools to extract insights from the ever-growing corpora of biological data and to unlock opportunities in therapeutic discovery, development, and manufacturing. We are building large-scale deep learning models of biological data to predict the phenotype and behavior of biological systems. Position Overview As a Principal Machine Learning Scientist, you will be a technical leader for our research and development efforts. You will be responsible for setting the long‑term technical vision and strategy for our deep learning architecture. This is a strategic, hands‑on role for a scientist who is passionate about architecting foundational neural networks and can lead ambitious, multi‑year research and engineering initiatives. You will be instrumental in guiding the company's scientific direction and mentoring our talented team of scientists. Key Responsibilities Architectural Vision and Strategy: Define and drive the long‑term vision for our core deep learning architecture. Make critical decisions on the foundational design of our neural networks to ensure they are scalable, robust, and optimized for interpreting mass spectrometry data. Foundational Model Development: Lead the conceptualization, design, and implementation of innovative deep learning models. Your work will involve creating novel network architectures and algorithms tailored to scientific discovery. Scientific Leadership: Provide intellectual leadership to the machine learning team and the broader company. Stay at the forefront of academic and industry advancements in deep learning, particularly as they apply to chemistry and biology, and guide the team in applying cutting‑edge techniques. Cross‑Functional Collaboration: Work closely with leadership in engineering, product, and scientific discovery to align machine learning initiatives with company‑wide goals. Mentorship and Guidance: Mentor and develop our team of machine learning scientists, fostering a culture of technical excellence, creativity, and rigorous scientific inquiry. Qualifications Ph.D. in a quantitative field such as Computer Science, Chemistry, Physics, or a related discipline, or equivalent research experience. 10+ years of experience in machine learning, with a significant focus on architecting novel deep learning systems. Demonstrated experience in leading the architectural design of complex deep learning systems. This should be evident through publications, patents, or a portfolio of shipped products. Expertise or strong familiarity with machine learning for spectral analysis, molecular structure prediction, or novel molecular representation learning is highly preferred. A strong publication record in top‑tier machine learning or scientific journals (e.g., NeurIPS, ICML, Nature, Science) is highly desirable. Proficiency with common scientific data formats (e.g., HDF5, mz ML, zarr). Working at Matterworks Given the cross‑disciplinary and innovative nature of our work, effective collaboration and communication are critical to our progress. We operate in a flexible hybrid model that accommodates both fully remote team members and those who work full‑time from our Somerville, MA office. While some positions may require regular in‑person presence for hands‑on work or local collaboration, many roles can be performed remotely with team members distributed across various locations. Compensation and Benefits Matterworks offers a competitive base salary, stock options, and benefits (health & dental, vision, long‑ and short‑term disability, life insurance, 401k with company match). Employees enjoy a flexible work & unlimited time away policy, commuter benefits and parking, regular team meals and outings, and company support for continued education/coursework and conference participation. Matterworks, Inc. is an equal opportunity employer. All candidates for employment at Matterworks are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other category protected by law. #J-18808-Ljbffr

A biopharmaceutical firm is seeking a Senior Machine Learning and Quantum Chemistry Scientist to advance quantum chemistry foundation models. The ideal candidate should hold a PhD and have extensive experience in quantum chemistry and machine learning. Responsibilities include model development and communication of research results. The position offers full-time work with health insurance and lunch vouchers, along with remote work options. #J-18808-Ljbffr

## Job DescriptionThe Agentic Tribe is revolutionizing the chatbot and voice assistance landscape with Gen3, a cutting-edge AI Agent system that's pushing the boundaries of conversational AI. Gen3 is not your typical chatbot; it's a goal-oriented, dynamic, and truly conversational system capable of reasoning, planning, and adapting to user needs in real-time. By leveraging a multi-agent architecture and advanced language models, Gen3 delivers personalized and engaging user experiences, moving beyond scripted interactions to handle complex tasks and "off-script" inquiries with ease.We are delighted to be hiring a Staff Machine Learning Scientist for the AI Agent product at Zendesk. You will own a designated product area and revolutionize how our customers experience our products. This is an exciting opportunity to bridge the gap between cutting-edge ML research and real-world impact. You'll have the freedom to shape the product roadmap, discover innovative ML applications, and collaborate with a talented cross-functional team.## What You will do (Responsibilities):* You'll be part of a team responsible for designing and testing novel AI solutions for real business problems* You'll own the full research projects end-to-end from understanding business requirements to design, implementation, experimentation and reporting* You'll discuss your and others ideas in the research team regularly and provide peer review for your colleagues work* You'll keep up with the NLP and ML fields and literature and introduce new concepts discovered as potential solutions to our business problems* You'll work closely with AIengineers helping them implement your designs into our production system* You'll use suitable tools and technologies for rapid implementation and quickly testing your hypotheses while keeping in mind the requirements of future production implementation* You'll collaborate with Product managers and other non technical stakeholders to discover product roadmap.## ## Who you are:* Degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, etc.* Proven record of Machine Learning or NLP research, ideally in industry.* Knowledge of building deep learning neural network architectures, ideally with focus on NLP.* Ability to implement ideas from research literature into proof-of-concept models.* Practical approach for researching machine learning solutions to business problems.* Huge bonus if you have experience with LLMs, Prompt Engineering and AI Agent Context Management.* Ideally have experience with conversational AI and voice technologies, including text-to-speech (TTS) and speech-to-speech (STS).* A positive, pro-active team player who is passionate about their craft, is keen to take part in product discussions and cares about helping the team deliver.* Great communication skill and fluency in English.* How well your work aligns with the overall product roadmap and strategic goals.* Effectiveness in collaborating with product managers, engineers, designers, and other stakeholders* Discovery and Ideation - ability to identify new opportunities within the product area, as well as their ability to prioritize and champion these ideas.## The Interview Process:We are excited to learn more about you, so we want to be transparent about what you can expect from our interview process: 1. Initial Call with Talent Team - 15 mins2. Interview with one member of the Hiring Team - 45 minutes3. Take-home technical/research challenge4. A technical interview with two of our scientists to talk more in-depth about your technical experience and answer any questions you might have - 1 hour5. Final interview with 2 of the following: CTO or Engineering Manager/Director - 45 minutes## About ZendeskZendesk builds software for better customer relationships. It empowers organizations to improve customer engagement and better understand their customers. Zendesk products are easy to use and implement. They give organizations the flexibility to move quickly, focus on innovation, and scale with their growth.More than 100,000 paid customer accounts in over 150 countries and territories use Zendesk products. Based in San Francisco, Zendesk has operations in the United States, Europe, Asia, Australia, and South America.to learn more about how we engage with, and provide support to, our local communities. Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster in the workplace. Individuals seeking employment at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.By submitting your application, you agree that Zendesk may collect your personal data for recruiting, global organization planning, and related purposes. Zendesk's explains what personal information Zendesk may process, where Zendesk may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Zendesk's use of your personal information.#LI-MK12**The intelligent heart of customer experience**Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please .Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to *************************** with your specific accommodation request. #J-18808-Ljbffr

A leading automotive company is seeking a Senior Systems Data Scientist for their Autonomous Vehicle organization. This hybrid role involves developing data-driven methodologies to measure confidence in AV validation results, collaborating with cross-functional teams, and simplifying complex analytical methods. Candidates should have an advanced degree in data science or a related field, with at least 4 years of experience in data analytics, proficiency in Python and SQL, and strong communication skills. This position is pivotal for advancing AV technology. #J-18808-Ljbffr

The National Energy Research Scientific Computing Center (NERSC) at Berkeley Lab seeks a highly motivated Postdoctoral Researcher - Scientific Machine Learning (NESAP) to join the Workflow Readiness team as part of NERSC's Science Acceleration Program (NESAP). You will join a multidisciplinary team building AI-driven scientific workflows for the upcoming Doudna supercomputer. Doudna will deliver over 10x the performance of Perlmutter and connect directly to DOE experimental and observational facilities so research teams can stream and analyze data in near real time. You will collaborate with NERSC staff, domain scientists, and partners at NVIDIA and Dell to prepare high-impact workflows for 12,000+ NERSC users. What You Will Do Contribute to one or more NESAP AI-based scientific workflows targeting NERSC HPC resources, edge resources, and the DOE ESnet network. Develop and apply advanced workflow capabilities to improve performance, portability, and productivity of scientific software. Collaborate with computational and domain scientists to integrate state-of-the-art AI with simulation and data analysis, including modern agentic approaches. Publish and present results in peer-reviewed venues. Examples of NESAP project themes Development, performance analysis and optimization of end-to-end science workflows, including those originating at DOE facilities. Deployment of capabilities such as AI training and inference at scale, and tight AI-simulation coupling. What is Required PhD in Physics, Chemistry, Computational Science, Data Science, Computer Science, Applied Mathematics, or a related numerical field. Programming experience in one or more of: Python, C++, Fortran, Julia. Hands‑on experience building and training AI models with frameworks such as TensorFlow or PyTorch. Ability to succeed in an interdisciplinary team and communicate results clearly in writing and presentations. Desired Qualifications Knowledge of GPU architecture and GPU programming. Interest or experience in distributed training on large scientific datasets and staying current with new training methods and architectures. Experience with performance and profiling tools such as Perftools, NVIDIA Nsight, AMD uProf, or Omniperf. Debugging experience with distributed‑memory parallel applications. Experience with containers (Docker, Podman, Shifter or similar) and modern software practices such as Git, unit testing, CI/CD, and collaborative development. Publications in ML‑for‑Science, HPC, or systems venues (SC/ISC, PPoPP, IPDPS, MLSys, NeurIPS workshops). Preferred Application Materials Resume/CV Notes This is a full‑time, 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post‑degree. This position is represented by a union for collective bargaining purposes. The monthly salary range for this position is $8,570 - $9,935 and is expected to start at $8,570 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post‑Ph.D. postdoctoral experience. This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment. This position requires substantial on‑site presence, but is eligible for a flexible work mode, and hybrid schedules may be considered. Hybrid work is a combination of performing work on‑site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA and some telework. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab. Work schedules are dependent on business needs. In rare cases, full‑time telework or remote work modes may be considered. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites. Want to learn more about working at Berkeley Lab? careers.lbl.gov Equal Employment Opportunity Employer The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law. Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti‑discrimination efforts, consistent with its obligations as a Federal and State contractor. Misconduct Disclosure Requirement As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer. #J-18808-Ljbffr

A leading health services provider is seeking a Senior Responsible AI Data Scientist. This remote role focuses on ethical AI development across various teams, requiring strong Python skills and experience in the healthcare industry. You'll ensure that AI systems align with organizational values and regulatory standards. Candidates must have a background in quantitative fields with significant experience in machine learning applications. #J-18808-Ljbffr

Job Term: Full-time The Opportunity: Reporting to the Director of Americas Sales in our Environmental BU, this role will play a pivotal role in support of field sales of scientific instruments. This is a high-impact role that is critical to our goals. The Field Application Scientist will be responsible for functions that drive top-line growth, including, but not limited to, traveling to customer sites to engage in technical discovery, business development, and helping to protect new business. The Field Application Scientist will help keep account managers informed of new markets and product offerings, and also attend conferences and trade shows as needed. The Field Application Engineer will develop meaningful relationships with our customers to collaborate on new product breakthroughs. Responsibilities: Assist the Americas field organization to meet or exceed sales goals through hands-on technical expertise of Picarro's CRDS instruments. Prospect and perform technical discovery to help find new business in cooperation with account managers. Understand customers' applications and recommend solutions to meet their needs. Conduct product demonstrations and run samples. Identify and articulate unique Picarro product strengths. Perform product installations and follow-up to ensure customer satisfaction. Act as the customer voice inside Picarro to influence future product direction. Assess potential new applications and develop methods to be used with Picarro systems. Participate in conferences, trade shows, and other forums. Document work in CRM and work collaboratively with the team. Assist product managers at our headquarters with application development. Qualifications: B.S. in Earth or Geosciences, M.S. or Ph.D. preferred. Hands-on experience with laser optical instruments, isotope ratio mass spectrometry or other trace gas analyzers. Excellent presentation and communication skills. Preference will be given to Spanish-speaking candidates. Reporting to the Director of Sales, Americas. Up to 50% domestic and international travel. Remote position, Eastern US or Canada.

Apply for JobJob ID696170 Full/Part TimeFull-Time Regular/TemporaryTemporary Add to Favorite JobsEmail this Job About Sandia Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs: Challenging work with amazing impact that contributes to security, peace, and freedom worldwide Extraordinary co-workers Some of the best tools, equipment, and research facilities in the world Career advancement and enrichment opportunities Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home) Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance* World-changing technologies. Life-changing careers. Learn more about Sandia at: *These benefits vary by job classification. What Your Job Will Be Like We are seeking Postdoctoral Appointee candidates with demonstrated publication record or relevant experience to join Sandia's Quantum Performance Laboratory to pursue world-leading research in the design and application of machine learning (ML) and artificial intelligence (AI) methods for the characterization, calibration, benchmarking, and simulation of quantum computers. You will be part of Sandia's much broader QIS and ML/AI programs and will have an opportunity to engage with researchers and teams across the QIS industry. Postdocs in our group work at the frontier of practical and theoretical quantum computing research, publish widely, and have broad latitude to identify compelling research problems, take leadership, and solve them. On any given day, you may: Work with a team developing and implementing new ML and AI methods for assessing and improving the performance of quantum computers; Interact and collaborate with a diverse set of software developers, experimentalists, and theorists at Sandia, academic institutions, other national labs, and private companies; Take ownership of technical projects, publish outstanding new developments in peer-reviewed scientific journals, and present your work at conferences. The location for this position may be on the main Sandia campus in Albuquerque, NM, or Livermore, CA, hybrid, or remote work. Qualifications We Require A PhD in Computer Science, Physics, Electrical Engineering, Mathematics, Chemistry, or a related science or engineering field, PhD must be conferred within 5 years of employment. Experience in scientific software development in Python, including collaborative code development, code verification, and modern software quality practices. Experience with ML code development, using ML software such as TensorFlow, and the application of ML to scientific research problems Qualifications We Desire Record of research as demonstrated by publications in peer-reviewed journals, competitive conference proceedings, or high-impact program deliverables Experience with mathematical techniques for modelling or characterization noisy quantum computers. Demonstrated research experience in quantum computation and information science. Experience turning math into code. About Our Team You will be a member of the Quantum Performance Laboratory (QPL), a multidisciplinary research and development group within Sandia National Laboratories. Our team develops and deploys cutting-edge techniques for assessing and improving the performance of quantum computing hardware, serving the needs of the U.S. government, industry, and academia. We are geographically dispersed, but maintain a strong culture of collaboration. The QPL works closely with a wide range of partners in industry and academia to develop new performance assessment tools and apply them to newly developed quantum computing platforms. We are committed to advancing the field of quantum computing, and we publish our research in scientific journals including Nature, Nature Physics, Nature Communications, Physical Review X, PRX Quantum, and Physical Review Letters. Our culture values work-life balance; we offer programs such as flexible work schedules with alternate Fridays off, on-site fitness facilities, and three weeks of vacation. Sandia provides employees with a comprehensive benefits package that includes medical, dental, vision, and a 401(k) with company-match. Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation. We are a world-class team of scientists, engineers, technologists, post docs, and visiting researchers all focused on cutting-edge technology, ranging from homeland defense, global security, biotechnology, and environmental preservation to energy and combustion research, computer security, and nuclear defense. Posting Duration This posting will be open for application submissions for a minimum of seven (7) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time. Security Clearance This position does not currently require a Department of Energy (DOE) security clearance. Sandia will conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Furthermore, employees in New Mexico need to pass a U.S. Air Force background screen for access to Kirtland Air Force Base. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause access to be denied or terminated, resulting in the inability to perform the duties assigned and subsequent termination of employment. Under federal law, citizens and agents of the People's Republic of China, the Islamic Republic of Iran, the Democratic People's Republic of North Korea, and the Russian Federation are generally prohibited from accessing Sandia National Laboratories. Accordingly, such individuals will not be considered for employment unless they are also a citizen of the United States. If hired without a clearance and it subsequently becomes necessary to obtain and maintain one for the position, or you bid on positions that require a clearance, a pre-processing background review may be conducted prior to a required federal background investigation. Applicants for a DOE security clearance need to be U.S. citizens. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted. Members of the workforce (MOWs) hired at Sandia who require uncleared access for greater than 179 days during their employment, are required to go through the Uncleared Personal Identity Verification (UPIV) process. Access includes physical and/or cyber (logical) access, as well as remote access to any NNSA information technology (IT) systems. UPIV requirements are not applicable to individuals who require a DOE personnel security clearance for the performance of their SNL employment or to foreign nationals. The UPIV process will include the completion of a USAccess Enrollment, SF-85 (Questionnaire for Non-Sensitive Positions) and OF-306 (Declaration of for Federal Employment). An unfavorable UPIV determination will result in immediate retrieval of the SNL issued badge, removal of cyber (logical) access and/or removal from SNL subcontract. All MOWs may appeal the unfavorable UPIV determination to DOE/NNSA immediately. If the appeal is unsuccessful, the MOW may try to go through the UPIV process one year after the decision date. EEO All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law. NNSA Requirements for MedPEDs If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs. If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date. Position Information This postdoctoral position is a temporary position for up to one year, which may be renewed at Sandia's discretion up to five additional years. The PhD must have been conferred within five years prior to employment. Individuals in postdoctoral positions may bid on regular Sandia positions as internal candidates, and in some cases may be converted to regular career positions during their term if warranted by ongoing operational needs, continuing availability of funds, and satisfactory job performance.

Our mission is to shape the future of clinical research. With decades of experience and the brightest minds in the industry, we help the global biopharmaceutical industry bring new, advanced medical treatments to market, faster. We seek to change the world, and with the support of our teams across the globe, we flourish together. At Perceptive, we are one team. We learn, grow and win together. Are you ready to help change the world? Apart from job satisfaction, we can offer you: HEALTH: - Medical, Dental and Vision benefits for you and your family, including Flexible Spending Accounts (FSA) and Health Savings Accounts (HSAs) YOURSELF: - Paid time off policy including holidays and sick time - Internal growth and development programs & trainings WEALTH: 401(k) program, life & accident insurance and disability insurance About the role Job Purpose As Scientist II, you will develop and apply modelling and analysis techniques to Perceptive clinical oncology imaging studies to provide quantitative decision-making data to commercial clients. Key Responsibilities Image and data processing pipelines Supports the design, development, and execution of image and data processing pipelines in support of clinical imaging trials, including for use in a validated core lab environment. Quality control Oversees image and data quality control methods, documentation, and best practices, including for use in development of validated, 21 CFR part 11 compliant workflows. Research & development Carries out research & development in support of novel image processing methods, tools, and pipelines. Stakeholder relationship management Supports sponsor interaction, including capabilities presentations, scientific & medical services support, and data presentation/interpretation. Guides and supports junior members of the team, through mentoring and training to develop knowledge, techniques and skills. Carries out scientific review of study results for junior members to assess accuracy and support in their development. Other Carryout any other reasonable duties as requested. Functional Competencies (Technical knowledge/Skills) Excellent knowledge of nuclear medicine imaging and image analysis Excellent interpersonal, verbal and written communication skills A flexible attitude with respect to work assignments and new learning Ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail Ability to identify and implement process improvements Proactively participates in skills improvement training and encourages their teams to participate Ability to coach others to succeed in enhancing individual and professional development. Sharing knowledge, skills, and expertise with others Experience, Education, and Certifications Ph.D. in a quantitative field, ideally in nuclear medicine, physics, biophysics, or biomedical engineering. Substantial demonstrable experience in both academic and/or industrial instrumentation/ image-processing environments Solid proven experience of working in and knowledge of medical imaging or clinical development in the life sciences industry. English: Fluent. This role is remote. Candidates located in the following states are preferred: AZ, CT, DE, FL, GA, IL, MA, MO, NH, NJ, NC, PA, UT, VA. The annual base salary range for this role is $82,150-$152,566. This range represents the anticipated initial annual salary and will vary depending on several factors including the candidate's experience and skills as well as market rate adjustment. Come as you are. We're proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, colour, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

About the company: The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear - even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers. KoBold builds AI models for mineral exploration and deploys those models-alongside our novel sensors-to guide decisions on KoBold-owned-and-operated exploration programs. In the six years since founding, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer. Our data scientists and software engineers, who come from leading technology companies, jointly lead exploration programs with our renowned exploration geologists. KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered: the copper is far more concentrated than the global average of copper mines, and this asset alone is expected to generate meaningful revenue for decades. KoBold has a portfolio of more than 60 other projects, each of which has the potential for another high-quality discovery. KoBold is privately held; investors include institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, and Standard Investments; and natural resources companies Equinor, BHP, and Mitsubishi. About The Role: In this role, you will develop state of the art instruments to collect data to guide our exploration programs. You will simulate, characterize, and calibrate sensor performance and design new data acquisition systems. Working with vendors and partners, you will build hardware and work with our operations staff to deploy it in the field. With this sensor data and other data sources at KoBold, you will build models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will be creating models and developing software to accelerate discovery of critical battery metals. You will join an outstanding team of data scientists and engineers and will work closely with KoBold's world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will identify new opportunities and technologies for geophysical data collection, create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work. Ultimately, your role is to help KoBold make valuable discoveries by building and deploying next generation hardware and using data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up. Responsibilities of this position include: Technical execution Design, develop, and deploy new mineral exploration data collection instruments and methods. Help develop KoBold's proprietary software exploration tools. Find and curate a wide variety of geospectral, geophysical, geochemical, geologic, and geographic data and integrate it into KoBold's proprietary data system. Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth's crust. Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features. Develop and apply a range of data processing, statistical, and physics-based techniques to geoscientific data - from computer vision to geophysical inversions - and use the results to guide our targeting efforts and inform our acquisition and exploration decisions. Present to and collaborate with our external partners and stakeholders. Push the state of the art in analysis capabilities by implementing statistically rigorous spatially aware clustering, anomaly detection, and other analysis methods Collaborate with data scientists, geoscientists and engineers to invent and deploy algorithms that combine large and complex data sets for mineral exploration and discoveries Qualifications Demonstrated ability to quickly absorb and synthesize complex information, with a track record of high intellectual rigor in a professional setting. Exceptional curiosity and eagerness to learn, with a proactive approach to exploring new concepts and technologies. A successful track record of developing complex equipment with cross-disciplinary teams and vendors. Technical skills, including extensive experience with: Physical measurement and data analysis systems that use phenomena such as optics, electromagnetism, radiation, and gravity. Applying scientific knowledge to identify and prototype emerging technologies Systems integration and data acquisition. Python's data science packages and general software engineering practices. Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines. SQL, as well as familiarity with non-relational databases. Cloud computing resources. Building a wide variety of predictive models, applying them to different problems, and evaluating and interpreting the results. Data analysis, physics analysis, and applied statistics on a broad range of types of data including data from physical systems. Capacity to dive deep on novel challenging problems in applying ML to mineral exploration, including understanding a complex domain of geology and mineral exploration practices as well as working with limited, disparate and noisy data sources Experience deploying sensors in the field Work practices and motivation: Ability to take ownership and responsibility of large projects. Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Open to working directly with geologists in the field. Enjoys constantly learning such that you are driving insights and innovations. Ability to explain technical problems to and collaborate on solutions with domain experts who aren't software developers. A strong communicator who enjoys working with colleagues across the company. Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities. Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company. Ability to independently prioritize multiple tasks effectively. It is also helpful but not required to have experience with: Remote sensing Creating machine learning models on geospatial data Image processing or computer vision Project and team management KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status. This position is Full-time Exempt Salary is one part of KoBold's total compensation. The US salary range for this role is between $125,000 and $235,000, and will depend on your skills, qualifications, experience, and location. In addition to salary, we offer equity compensation. We also offer benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer paid sick time and parental leave." Location: Remote, Candidates can be located anywhere in the United States or Canada. All candidates must be legally authorized to work in the United States or Canada. 10-20% travel required.

About Us: Oruka Therapeutics (Nasdaq: ORKA) is developing novel biologics designed to set a new standard for the treatment of chronic skin diseases. Oruka's mission is to offer patients suffering from chronic skin diseases like plaque psoriasis the greatest possible freedom from their condition by achieving high rates of complete disease clearance with dosing as infrequently as once or twice per year. Oruka is advancing a proprietary portfolio of potentially best-in-class antibodies that were engineered by Paragon Therapeutics and target the core mechanisms underlying plaque psoriasis and other dermatologic and inflammatory diseases. For more information, visit *************** As we build our core team, we're seeking top talent in different functional areas who are not just looking for a job, but an opportunity to be part of something bigger. Someone who is passionate about making a difference and eager to contribute to establishing an engaged, inclusive, and positive company culture. Job Title: Pharmacovigilance Scientist Location: Remote Role Overview: The Pharmacovigilance Scientist plays a critical role in the collection, evaluation, and management of drug safety data throughout clinical development. This role supports the monitoring and assessment of adverse events, safety signal detection, and risk management activities to safeguard patient safety and ensure regulatory compliance. The Pharmacovigilance Scientist collaborates with cross-functional teams to maintain the integrity of safety data and contributes to the preparation of safety-related documentation, presentations and aggregate reports. They work closely with the Senior Medical Director, Pharmacovigilance and Safety, to execute pharmacovigilance strategies. Key Responsibilities: Safety Data Collection and Review: Collects, reviews, and analyzes adverse event reports from clinical trials to identify potential safety signals Supports quality control review of individual case safety reports (ICSRs) Assists in ongoing safety monitoring activities, including data reconciliation and quality checks to ensure accuracy of safety data. Supports safety data management activities, including case processing, follow-up, and coding of adverse events Risk Assessment and Signal Detection: Assesses clinical safety data to identify, evaluate, and document adverse events and emerging safety concerns. Contributes to risk-benefit analyses and supports the development of risk mitigation strategies Pharmacovigilance Documentation: Supports the preparation and review of pharmacovigilance documents such as Development Safety Update Reports (DSURs), development Risk Management Plans (dRMPs), and relevant sections of clinical trial protocols, IBs and regulatory submissions Proficient with safety surveillance systems and tools (e.g., Argus, MedDRA, Veeva Vault) Scientific Expertise: Maintains current knowledge of relevant therapeutic areas, pharmacology, and drug safety regulations Conducts literature reviews and safety signal assessments to inform safety evaluations Cross-Functional Collaboration: Works closely with clinical operations, regulatory affairs, medical affairs, data management, bioinformatics and project management teams to ensure comprehensive safety oversight Supports compliance with global pharmacovigilance regulations and company safety policies Supports the communication and oversight of pharmacovigilance and contract research organization vendors Supports the project management of safety activities such as aggregate reports, safety team meetings, signal evaluations, etc. Qualifications: Advanced degree in life sciences (e.g., PharmD, PhD) or related field Minimum of 3 years of experience within the pharmaceutical industry, ideally including drug safety experience Knowledge of good pharmacovigilance practices, drug safety regulations, and clinical trial processes Understanding of pharmacovigilance regulatory practices including CIOMS, EMA, ICH and FDA guidelines Experience with adverse event data review, safety signal detection, and safety database management (e.g. Argus, MedDRA, Veeva Vault) Strong analytical, communication and presentation skills Strong organizational and project management skills Ability to collaborate effectively across multidisciplinary teams in a fast-paced environment Compensation: An appropriate financial package will be developed for the successful candidate to include a competitive base salary and equity, with a performance-related bonus opportunity. The anticipated salary range for candidates, Scientist I is $125,000-140,000 and Scientist II is $140,000-155,000 . The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Oruka is a multi-state employer and this salary range may not reflect positions that work in other states. If located within one of our offices in Waltham, MA or Menlo Park, CA, you will be required to go into office 3 days a week. We're looking forward to hearing how you can contribute to our team and mission. Join us in shaping the future of our company and making a real impact every day. Salary Range for the Role$125,000-$155,000 USD What We Offer: A chance to be part of a vibrant startup culture where your work can directly impact bringing new medicines to patients. Competitive salary and benefits package. A supportive and inclusive team environment where everyone is encouraged to bring their authentic selves to work. Opportunities for professional growth and development.

Sumitomo Pharma Co., Ltd., is a global pharmaceutical company based in Japan with operations in the U.S. (Sumitomo Pharma America, Inc.), focused on addressing patient needs in oncology, urology, women's health, rare diseases, cell & gene therapies and CNS. With several marketed products and a diverse pipeline of early- to late-stage investigational assets, we aim to accelerate discovery, research, and development to bring novel therapies to patients sooner. For more information on SMPA, visit our website ********************************** or follow us on LinkedIn. Job Overview We are currently seeking a dynamic, highly motivated, and experienced individual for the position of Scientist II. This position will be part of the Translational Research and Medicine-Oncology team, with a primary focus on advancing translational research to support oncology programs in clinical trial stages. This individual will be responsible for designing, oversighting, and interpretating translational studies to understand mechanism of action, resistance pathways, and potential new indications. The candidate may also be involved in biomarker analysis to support these translational objectives. Job Duties and Responsibilities Develop hypotheses by integrating insights from scientific literature, preclinical and clinical data Design experiments to support identification of mechanism of action, resistance mechanisms, and potential indications Manage translational research and biomarker studies conducted with CROs and academic investigators to ensure high-quality, timely delivery of data Maintain organized, detailed logs of studies and data to ensure accuracy, reproducibility, and compliance with regulatory standards Present data and insights in internal meetings and cross-functional program team discussions Key Core Competencies Scientific curiosity with ability to generate and test hypotheses that inform drug development Excellent problem-solving and critical-thinking skills to interpret complex data Strong organizational skills and attention to detail in managing studies, data, and documentation Strong project management and vendor oversight skills Adaptability and resilience in a fast-paced, evolving research environment Education and Experience PhD degree in a related field of science (Biology, Biochemistry, Molecular & Cellular biology, Cancer Biology, Immunology) 1-3 years of postdoctoral or industry research experience Familiarity with oncology research preferred Experience with common biomarker platforms (e.g. NGS, flow cytometry, IHC) preferred The base salary range for this role is $102,000 to $127,000. Base salary is part of our total rewards package which also includes the opportunity for merit-based salary increases, short incentive plan participation, eligibility for our 401(k) plan, medical, dental, vision, life and disability insurances and leaves provided in line with your work state. Our robust time-off policy includes flexible paid time off, 11 paid holidays plus additional time off for a shut-down period during the last week of December, 80 hours of paid sick time upon hire and each year thereafter. Total compensation, including base salary to be offered, will depend on elements unique to each candidate, including candidate experience, skills, education and other factors permitted by law. Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. Confidential Data: All information (written, verbal, electronic, etc.) that an employee encounters is considered confidential. Compliance: Achieve and maintain Compliance with all applicable regulatory, legal and operational rules and procedures, by ensuring that all plans and activities for and on behalf of Sumitomo Pharma America (SMPA) and affiliates are carried out with the "best" industry practices and the highest ethical standards. 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. Mental/Physical Requirements: Fast paced environment handling multiple demands. Must be able to exercise appropriate judgment as necessary. Requires a high level of initiative and independence. Excellent written and oral communication skills required. Requires ability to use a personal computer for extended periods of time. Sumitomo Pharma America (SMPA) is an Equal Employment Opportunity (EEO) employer Qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers' toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: *************************************************************************************** applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description: AI Scientist - Modern AI Applications 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers' toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. The Impact You'll Make in this Role As a Principal AI Scientist with deep expertise in Agentic AI, Generative AI, and Natural Language Understanding (NLU), you will lead high-impact technical innovation in HIS applications. In this role, you will be a hands-on research and development leader - driving technical breakthroughs, designing novel AI architectures, and directly influencing the integration of advanced AI into mission-critical healthcare products. You will collaborate closely with other scientists, engineers, and domain experts to create solutions that are explainable, reliable, and transformative for healthcare operations. Key Responsibilities Research & Innovation Design, prototype, and evaluate novel AI models for autonomous, agent-based systems in healthcare workflows. Advance state-of-the-art NLU for clinical, operational, and administrative healthcare text. Explore and implement new capabilities in reasoning, decision-making, and multi-modal understanding. Healthcare-Focused AI Development Adapt and fine-tune large language models to handle healthcare-specific language, regulatory requirements, and ethical considerations. Create AI pipelines that can process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data). Contribute to domain-specific model architectures that improve clinical decision-making, revenue cycle management, and patient engagement. Technical Leadership Serve as the primary technical authority on Agentic and Generative AI within project teams. Mentor junior AI scientists and engineers through code reviews, research guidance, and technical workshops. Drive internal knowledge-sharing on emerging AI trends, frameworks, and best practices. Operational & Compliance Excellence Implement rigorous model evaluation frameworks for accuracy, robustness, and fairness. Ensure compliance with healthcare privacy and data security regulations (HIPAA, HITRUST). Partner with engineering to move research prototypes into production environments. Required Qualifications Master's in Computer Science, AI, Machine Learning, or related field AND 5+ years of experience in AI/ML, with a strong portfolio of deployed models. Or PhD in Computer Science, AI, Machine Learning, or related field AND 3+ years of experience in AI/ML, with a strong portfolio of deployed models. Experience in Python, R, and modern ML libraries. Experience with GenAI, LLMs, and transformer architectures. Experience with AI development tools and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, RAG systems). Preferred Skills Multi-modal AI research experience (text, image, structured data). Knowledge graph integration and symbolic reasoning expertise. Proven ability to take AI research from concept to production. Hands-on experience with autonomous AI agents and reasoning systems. Strong track record applying AI to healthcare or life sciences use cases. Familiarity with cloud platforms (AWS) and MLOps practices. Work location: US Remote Travel: May include up to 10% domestic Relocation Assistance: Is not authorized Must be legally authorized to work in the country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being Solventum offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope. Onboarding Requirement: To improve the onboarding experience, you will have an opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation. As a result, new employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment. Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy. Applies to new hires with a start date of October 1st 2025 or later.Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain *****************. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains. Please note, Solventum does not expect candidates in this position to perform work in the unincorporated areas of Los Angeles County.Solventum is an equal opportunity employer. Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. Solventum Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.

WHO WE AREAt Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments. As a global leader in Open Banking Payments, we are establishing Pay by Bank as the new standard at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide. Our Ambition: To build the world's most disruptive payment network and redefine what the payment experience should feel like. Trustly is a global team of innovators, collaborators, and doers. If you are driven by a strong sense of purpose and thrive in a dynamic, entrepreneurial, and high-growth environment, join us and be part of a team that's transforming the way the world pays. ABOUT THE ROLE We are building an exciting new Risk Decision Science team at Trustly. Building on a strong foundation of risk, data science, and machine learning, we are expanding our capabilities with advanced analytical leaders who will shape strategy, own transaction decisioning, and partner with some of the largest companies in the world to manage complex bank risk, spanning from credit to fraud and abuse. As a Risk Decision Scientist, you will play a critical role in protecting Trustly and our merchants while balancing fraud prevention, credit performance, recovery outcomes, and customer experience. This is a highly strategic, analytical role where you'll identify systemic weaknesses, close gaps before fraudsters exploit them, and reduce friction for good customers. If this sounds like work you love, we'd love to talk.WHAT YOU'LL DO Own the end-to-end design, maintenance, and continuous optimization of risk strategy frameworks, decision policies, and rules to meet ambitious business and loss goals. Use advanced analytics, SQL, Python, and statistical methods to solve complex problems, discover emerging risk trends, and inform high-impact decisions across the company. Partner closely with Product, Engineering, Data Science, Finance, and Risk Operations to translate business needs into scalable, data-driven strategies and ensure successful execution. Drive the development, maintenance, and refinement of risk strategy frameworks and complex rules to achieve ambitious business goals. Detect anomalies and evolving fraud trends, write risk rules targeting fraud patterns, and closely monitor the solution performance. Present strategies, findings, and recommendations to merchants and internal leadership, translating advanced ACH, risk, and fraud concepts into clear narratives that drive confidence, alignment, and action. Master large volumes of data; extract and manipulate large datasets using standard tools such as SQL and Python. Develop flexible performance dashboards and monitoring tools using platforms like Quicksight to provide clear, actionable insights to a variety of audiences and senior leaders. Plan and measure experiments (A/B and multivariate tests) to analyze the incremental value of new intelligence feeds and transform test results into actionable business insights. WHO YOU ARE Minimum of 3+ years of experience in fraud or credit risk strategy within the fintech, e-commerce, or online payments industry. Proficiency in SQL and Python, with a strong ability to work with large, complex datasets. Experience with analytical visualization tools such as Tableau, QuickSight, Mode, or Looker is a plus. Bachelor's degree in Statistics or an equivalent quantitative field (e.g., economics, finance, engineering, exact sciences). Demonstrated ability to use statistics and data science to solve complex, ambiguous problems and drive data-driven decisions. Experience building and deploying rules or automated monitoring; familiarity with fraud patterns such as Account Takeover (ATO), stolen credentials, NSF/ACH risk, or knowledge of the U.S. banking ecosystem. Able to turn complex analytics into simple, compelling stories for both technical and business audiences. Prior experience in payments risk, ACH, bank transfers, or real-time payments ecosystems. Strong product instincts - ability to influence roadmap, not just analyze data. Prior experience in high-growth, ambiguous startup environments where structure needed to be built. #LI-RemoteApplications for this role are accepted on an ongoing basis. SALARY RANGES IN US-BASED ROLE POSTINGOur salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Recruiters can share more information with applicants about the specific salary range for preferred locations during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, and other perks and benefits. WHAT WE OFFERAt Trustly, you will have the chance to solve meaningful challenges alongside some of the brightest minds in FinTech. Together, we are shaping the future of payments in an environment that celebrates curiosity, collaboration, and innovation. You will be challenged and empowered to grow, making a real impact every step of the way. Our team is as diverse as the global footprint we serve, with colleagues across Silicon Valley, the U.S., Canada, Brazil, Europe, and beyond. We embrace a remote-first culture that empowers you to balance your career ambitions with personal fulfillment. At Trustly, we foster a workplace where everyone feels they belong-a place where teamwork thrives, ideas flourish, and we never forget to have fun along the way. The total compensation packages include competitive salaries, bonus plans, and stock options. We offer innovative perks and benefits packages that include: - Flexible paid time off & generous PTO accrual plans - Comprehensive medical, dental, vision, and other insurances - FSA & HSA plans for medical and dependent care - Home office set-up allowance - Internet stipend - Retirement plan match for 401k and RRSP - Gender-neutral paid parental leave, and more! (The benefits and total compensation packages outlined above are for full-time employees; some exclusions apply for temporary positions.) At Trustly, we embrace and celebrate diversity of all forms and the value it brings to our employees and customers. We are proud and committed to being an Equal Opportunity Employer and believe an open and inclusive environment enables people to do their best work. All decisions regarding hiring, advancement, and any other aspects of employment are made solely on the basis of qualifications, merit, and business need.

Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers' toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: *************************************************************************************** applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description: AI Scientist - Modern AI Applications 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers' toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. The Impact You'll Make in this Role As a Principal AI Scientist with deep expertise in Agentic AI, Generative AI, and Natural Language Understanding (NLU), you will lead high-impact technical innovation in HIS applications. In this role, you will be a hands-on research and development leader - driving technical breakthroughs, designing novel AI architectures, and directly influencing the integration of advanced AI into mission-critical healthcare products. You will collaborate closely with other scientists, engineers, and domain experts to create solutions that are explainable, reliable, and transformative for healthcare operations. Key Responsibilities Research & Innovation Design, prototype, and evaluate novel AI models for autonomous, agent-based systems in healthcare workflows. Advance state-of-the-art NLU for clinical, operational, and administrative healthcare text. Explore and implement new capabilities in reasoning, decision-making, and multi-modal understanding. Healthcare-Focused AI Development Adapt and fine-tune large language models to handle healthcare-specific language, regulatory requirements, and ethical considerations. Create AI pipelines that can process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data). Contribute to domain-specific model architectures that improve clinical decision-making, revenue cycle management, and patient engagement. Technical Leadership Serve as the primary technical authority on Agentic and Generative AI within project teams. Mentor junior AI scientists and engineers through code reviews, research guidance, and technical workshops. Drive internal knowledge-sharing on emerging AI trends, frameworks, and best practices. Operational & Compliance Excellence Implement rigorous model evaluation frameworks for accuracy, robustness, and fairness. Ensure compliance with healthcare privacy and data security regulations (HIPAA, HITRUST). Partner with engineering to move research prototypes into production environments. Required Qualifications Master's in Computer Science, AI, Machine Learning, or related field AND 5+ years of experience in AI/ML, with a strong portfolio of deployed models. Or PhD in Computer Science, AI, Machine Learning, or related field AND 3+ years of experience in AI/ML, with a strong portfolio of deployed models. Experience in Python, R, and modern ML libraries. Experience with GenAI, LLMs, and transformer architectures. Experience with AI development tools and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, RAG systems). Preferred Skills Multi-modal AI research experience (text, image, structured data). Knowledge graph integration and symbolic reasoning expertise. Proven ability to take AI research from concept to production. Hands-on experience with autonomous AI agents and reasoning systems. Strong track record applying AI to healthcare or life sciences use cases. Familiarity with cloud platforms (AWS) and MLOps practices. Work location: US Remote Travel: May include up to 10% domestic Relocation Assistance: Is not authorized Must be legally authorized to work in the country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being Solventum offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope. Onboarding Requirement: To improve the onboarding experience, you will have an opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation. As a result, new employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment. Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy. Applies to new hires with a start date of October 1st 2025 or later.Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain *****************. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains. Please note, Solventum does not expect candidates in this position to perform work in the unincorporated areas of Los Angeles County.Solventum is an equal opportunity employer. Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. Solventum Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.

The Data Science team at Penguin Random House is seeking two Machine Learning Scientists to build and improve machine learning products that power how we understand demand, set strategy, and connect readers with books. We're hiring across both our recommendation and pricing teams. In this role, you'll use rich datasets to build sophisticated models that either recommend books to readers or help price books for the market. Our recommendation systems drive discovery across our digital channels and marketing, while our pricing products model market response to optimize revenue and mitigate risks to sales and brands. As the world's leading publishing house, Penguin Random House is AI-forward and continues to invest in modern machine learning to shape the future of book discovery, sales, and customer engagement. Our Data Science team applies ML across personalization, forecasting, pricing, and experimentation, and we actively explore emerging AI capabilities when they can meaningfully improve customer experiences. This role spans the ML lifecycle; from problem framing and prototyping to production and iteration, with a strong emphasis on writing robust, maintainable software and using modern AI tools thoughtfully to accelerate development. **Specific responsibilities include:** + Owns the ML lifecycle: Frames problems, prototypes solutions, validates performance, and iterates based on measurement and feedback. + Applies sound statistical and ML practices for feature development, training, evaluation, validation, and maintenance. + Defines success metrics and uses offline evaluation plus online experimentation (including A/B tests) to validate performance, monitor quality over time, and drive ongoing iteration. + Partners with engineering and platform counterparts to productionize models, including repeatable training, deployment workflows, monitoring, and refresh strategies. + Diagnoses model performance issues and data quality problems; communicates findings and recommended actions clearly to stakeholders. + Writes maintainable, production-minded code and contributes to team standards (code review, documentation, reproducibility, and testing where appropriate). + Stays current on applied ML and uses modern AI tools to accelerate exploration, questioning, and implementation without sacrificing quality. **Please apply if you meet the following qualifications:** + Master's with 2+ years of applied work experience OR PhD in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or a related quantitative field + Strong proficiency in Python and common ML frameworks and libraries (for example PyTorch or TensorFlow). + Strong SQL skills and experience working with large datasets for feature development, analysis, and validation. + Experience taking models from development to production (batch scoring, APIs, or downstream integration). + Solid understanding of experimentation and measurement. + Be cutting edge. Use the latest AI tools to develop well-designed and robust software. + Strong communication skills and ability to translate between business goals and technical solutions. + Familiarity with cloud and modern data/ML tooling (AWS, Databricks, Docker, Kubernetes, Spark, or similar). + Exposure to MLOps concepts and tooling (model registries, pipelines, monitoring, reproducibility). **Preferred qualifications:** We welcome candidates with depth in **either** (or both) of these applied ML areas: **Forecasting** + Experience with time series forecasting, causal/market-response modeling, optimization, or risk-aware modeling. + Familiarity with automated model retraining, monitoring, and long-running model maintenance. **Personalization** + Experience with recommender systems, ranking/retrieval, personalization, segmentation, propensity modeling, or targeting. + Familiarity with experimentation, measurement, and online evaluation. **_Please be advised that candidates selected to advance to the 1st round of interviews will be required to show photo ID on camera, and final interviews for this role will be in person at a Penguin Random House location._** **The salary range for this position is $130,000 - $175,000. All positions are currently eligible for an annual profit award or bonus, subject to company results. ** **Applications for this role will be accepted through February 10, 2026 or until the role is filled. We encourage you to apply early, as we review applications on a rolling basis. Please include your resume and cover letter for consideration. Before applying for any role at Penguin Random House, we recommend you review our applicant resources page and our FAQs page.** Penguin Random House job postings include a good faith compensation range for each open position. The salary range listed is specific to each particular open position and takes into account various factors including the specifics of the individual role, and candidate's relevant experience and qualifications. Full-time employees are eligible for our comprehensive benefits program. Our range of benefits include, but are not limited to, Medical/Prescription drug insurance, Dental, Vision, Health Care/Dependent Care Flexible Spending Account, Health Savings Account, Pre-Tax and Roth 401(k), Short and Long-Term Disability Insurance, Life/AD&D Insurance, Commuter Benefits, Student Loan Repayment Program, Educational Assistance & generous paid time off. Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. In publishing the best books in every genre and subject for all ages, we are committed to quality, excellence in execution, and innovation throughout the entire publishing process: editorial, design, marketing, publicity, sales, production, and distribution. Our vibrant and diverse international community of nearly 300 publishing brands and imprints include Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, Dutton, Grosset & Dunlap, Little Golden Books, Knopf, Modern Library, Pantheon, Penguin Books, Penguin Press, Penguin Random House Audio, Penguin Young Readers, Portfolio, Puffin, Putnam, Random House, Random House Children's Books, Riverhead, Ten Speed Press, Viking, and Vintage, among others. More information can be found at *********************************** Penguin Random House values the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status. **Company:** Penguin Random House LLC **| Job ID:** 285679 + Apply Now + Start applying with LinkedIn + **Please wait...**

Faire is an online wholesale marketplace built on the belief that the future is local - independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role As a Staff Applied AI/ML Scientist on the Search Group, you'll drive the technical vision, ML algorithm strategy, and system design powering one of the most critical levers for customer value and company growth-Search (think about what you do when you land on any e-commerce site). You'll lead the advancement of real-time Search and Recommendation systems behind our next-generation shopping experiences. You'll operate at the forefront of algorithms-combining large language models, natural language processing, query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized products/brands for any given query from the users. This is a rare opportunity to own end-to-end personalization in a high-scale, deeply multi-modal environment-while mentoring a team of talented scientists and engineers. What you'll do Own the next-generation Search engine, integrating LLMs, query understanding, dense vector retrieval, deep personalization embeddings, multi-stage ranking, and reinforcement learning to serve personalized product feeds with Design and productionize natural language search and discovery systems, enabling intelligent agents to generate relevant and personalized collections, explain search results, and assist retailers in browsing, filtering, and evaluation. Lead model development and GPU-based deployment efforts, leveraging frameworks like Triton to scale inference reliably and efficiently. Qualifications 7+ years of experience building large-scale ML systems, including 3+ years in search, recommendation, or ads ranking. Hands-on experience with deep learning libraries (e.g. PyTorch) and vector search infrastructure (e.g. Faiss, ScaNN, Pinecone). A strong track record of productionizing models that blend LLMs (e.g. BERT, GPT-class) with structured features to drive personalization. A product-focused mindset and a bias toward execution-you move quickly from paper to prototype to production. Strong Python skills, deep respect for system reliability and ownership, and experience operating in high-stakes environments. Excellent communication and cross-functional influence-you raise the technical bar beyond your immediate team. Great to Have Contributions to open-source ML libraries or peer-reviewed publications in ML/AI. MS or PhD in Computer Science, Statistics, or a related STEM field. Salary Range California: the pay range for this role is $224,000 to $308,000 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Hybrid Faire employees currently go into the office 2 days per week on Tuesdays and Thursdays. Effective starting in January 2026, employees will be expected to go into the office on a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Applications for this position will be accepted for a minimum of 30 days from the posting date. Why you'll love working at Faire We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process. We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners. We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy. We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality. Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (************************** Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice (******************************

Are you looking to join an organization that is growing and dynamic? What about a high-energy, collaborative environment that rewards hard work? J.S. Held is a global consulting firm that combines technical, scientific, financial, and strategic expertise to advise clients seeking to realize value and mitigate risk. Our professionals serve as trusted advisors to organizations facing high stakes matters demanding urgent attention, staunch integrity, proven experience, clear-cut analysis, and an understanding of both tangible and intangible assets. The firm provides a comprehensive suite of services, products, and data that enable clients to navigate complex, contentious, and often catastrophic situations. * Provide expert toxicological analysis and consulting on matters involving human health risk, chemical exposure, product safety, and regulatory compliance. * Review and interpret toxicological data, exposure assessments, and risk evaluations. * Serve as a subject matter expert in litigation support and regulatory. * Maintain strong relationships with existing and prospective clients. * Develop proposals, scopes of work, and pricing strategies for toxicology-related services. * Not expected to serve as a testifying expert. Qualifications * Ph.D. in Toxicology or board certification if the Ph.D. is in a related field. * Minimum of 5 years of professional experience managing complex toxicology projects. * A consulting background is desirable but not mandatory. * Strong understanding of regulatory frameworks (e.g., REACH, CLP, OSHA, EPA, etc.). * Proven success in client relationship management. * Excellent communication, presentation, and interpersonal skills. * Strong technical writing skills. * High attention to detail and enjoys working on a variety of different projects simultaneously. Additional Information Some of the Benefits We Have Include J.S. Held understands all our employees are people and sometimes life needs flexibility. We work to always provide an environment that best supports and suits our team's needs. * Our flexible work environment allows employees to work remotely, when needed * Flexible Time Off Policy * Medical, Dental, and Vision Insurance * 401k Match * Commuter Benefits A reasonable estimate of the salary range for this role is $150,000 - $180,000. Any offered salary range is based on a wide array of factors including but not limited to skillset, experience, training, location, scope of role, management responsibility, etc. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. By submitting your application, you acknowledge that you have read the J.S. Held Online Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as required and described therein. California residents can click here to learn more about the personal information we collect and here to learn about additional privacy rights that may be available. Please explore what we're all about at *************** EEO and Job Accommodations We embrace diversity and our commitment to building a team and environment that fosters professional and personal enrichment is unwavering. We are greater when we are equal! J.S. Held is an equal opportunity employer that is committed to hiring a diverse workforce. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you are an individual with a disability and would like to request for a reasonable accommodation, please email *************** and include "Applicant Accommodation" within the subject line with your request and contact information. #LI-IM1

Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team. Want to learn more about life at Egen? Check out these resources in addition to the job description. Meet EgenLife at EgenCulture and Values at EgenCareer Development at EgenBenefits at Egen About the opportunity: In this role, you'll join our growing team focused on building Generative AI applications for document summarization, classification, and question and answer using unstructured and structured data. This team works with companies of all sizes, from startups to Fortune 100, that are leaders in their fields, pushing the limits of possible. You will develop applications on Google Cloud, work with customers to understand their requirements, suggest new ideas and features to the team, improve the product further, and implement the new functionalities with a passion for quality. You will implement best practices and state-of-the-art techniques for AI and LLMs and work on research, experimentation, and implementation of novel methods.Qualifications: Required hands-on experience designing and implementing applications using Large Language Models (LLM). More specifically: Python programming. Google Gemini, OpenAI GPT, LLaMA, or similar models. LangChain, LlamaIndex, or similar frameworks. Advanced prompt engineering. Retrieval Augmented Generation (RAG). Vector databases (GCP Vector Search, ChromaDB, Pinecone, pgvector, or similar). The ideal candidate will also have experience in one or more of the following:Bachelor's or Master's degree in Computer Science, Engineering, or related field. LLM model fine-tuning. Embedding model fine tuning. Shell scripting. Google Cloud Vertex AI (AutoML, AI APIs, etc.). Classic Machine Learning (ML frameworks, neural net models development, training, tuning, serving). MLOps (ideally on GCP). Data Engineering (including SQL). Personal Attributes: Strong ethics. Strong technical aptitude. Engineering mindset/developer background. Strong sense of ownership and teamwork. Curious, always learning to get better. Enjoys working with clients. Excellent communication skills. Compensation & Benefits: This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:- Comprehensive Health Insurance- Paid Leave (Vacation/PTO)- Paid Holidays- Sick Leave- Parental Leave - Bereavement Leave- 401 (k) Employer Match- Employee Referral Bonuses Check out our complete list of benefits here - >******************************** Important: All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks. EEO and Accommodations: Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.