Director of cell biology work from home jobs

Telix Pharmaceuticals is a dynamic, fast-growing radiopharmaceutical company with offices in Australia (HQ), Belgium, Japan, Switzerland, and the United States. Our mission is to deliver on the promise of precision medicine through targeted radiation. At our core, we exist to create products that seek to improve the quality of life for people living with cancer and rare diseases. You will be supporting the international roll-out of our approved prostate cancer imaging agent and helping us to advance our portfolio of late clinical-stage products that address significant unmet need in oncology and rare diseases. See Yourself at Telix The role of Director, Biologics will oversee process development and clinical production of radiolabeled monoclonal antibodies and conjugates within Telix's Global Operations organization. This leadership position is responsible for guiding late-phase development and commercialization strategy, managing a team of bioprocess and bioconjugation scientists and engineers, and ensuring readiness for scale-up and manufacturing. The role will play a critical part in advancing Telix's biologics programs through clinical development and toward commercial launch. Key Accountabilities: Provide direction for late phase process development, validation, and commercialization strategies including timeline, resource plans, and key evaluations. Oversee the process development and validation activities, ensuring alignment with corporate objectives. Lead and motivate a team of bioprocess and bioconjugation scientists and engineers, fostering a culture of collaboration, compliance, and technical excellence. Demonstrate Telix values, leadership competencies, and industry methodologies, platforms, and best practices. Mentor team members on evaluation and execution for activities such as late-stage process development, process characterization, technology transfer including analytical methods, risk assessments, and validation. Manage relationships with internal and external partners including CDMOs and consultants, ensuring project requirements and external partner capabilities align to support production, optimization, and scale-up. Responsible for scoping, negotiation, budgeting and contracting of external activities. Guide team members' support of clinical manufacturing activities such as production forecasts & planning, NPI & GMP readiness, and batch release. Ensure Biologics deliverables comply with GMP requirements across multiple regions. Uphold GxP standards, especially documentation within our internal QMS and within external partner GMP manufacturing QMS including technical input to capture investigations, root cause analysis, and other quality events. Engage directly in cross-functional program matrix teams by providing options analysis and program timeline input. Support & mentor team members ensuring execution to plan and timely notification of issues and risks. Contribute to the creation of process development, technology transfer, and validation plans within a CMC stage gate framework. Ensure appropriate source documentation to support regulatory filings, as well as review Module 3 CMC content for IND/IMPD, BLA, & MAA, and other regulatory documents. Contribute key inputs to regulatory strategy for late-stage CMC topics, including areas requiring more sophisticated acumen such as comparability and risk-based justifications. Participate in efforts for optimization of internal business processes including input on key CMC deliverables. Generate presentations, storyboards, and written documentation related to complex technical content for internal and external stakeholders. Education and Experience: Bachelor's degree plus 17 years of experience, or Masters degree or PhD plus 10 years of experience, in bioprocess development, validation, and commercialization. 5+ years in leadership, ideally managing global teams and external partners (e.g., CDMOs) 10 years of experience in GMP, quality management system, and CMC compliance and regulation. Strong written and verbal communication skills are required. Experience working with radiolabeled antibodies is preferred. Experience of contributing to regulatory filings is preferred. Key Capabilities: Inclusive mindset: Demonstrate an understanding and appreciation for diversity, and actively work to create an inclusive environment where everyone feels valued and respected Creativity and innovation: Possess a willingness to think outside the box and come up with unique and creative solutions to challenges Commitment to excellence: Take pride in your work and consistently strive for excellence in everything you do Results-oriented: Driven to achieve goals and objectives, with a strong focus on delivering measurable results Ethical behavior: Act with integrity and demonstrate a commitment to ethical behavior in all interactions with colleagues and stakeholders Adaptability: Comfortable working in a dynamic environment, able to adjust to changing priorities, and willing to take on new challenges Strong communication skills: Able to communicate effectively with colleagues and stakeholders at all levels, using clear and concise language Collaboration: Work effectively as part of a team, actively sharing knowledge and expertise to achieve common goals Resilience: Demonstrate the ability to bounce back from setbacks and persevere in the face of challenges Continuous learning: Show a commitment to ongoing learning and professional development, continually seeking out opportunities to expand your knowledge and skills At Telix, we believe everyone counts, we strive to be extraordinary, and we pursue our goals with determination and integrity. You will be part of an engaged and supportive group of colleagues who all have a shared purpose: to help people with cancer and rare diseases live longer, better quality lives. Being a Telix employee means being a part of a unique, global, interdisciplinary team working to deliver what's next in precision medicine. We have hybrid and remote employees located all around the world. We offer competitive salaries, annual performance-based bonuses, an equity-based incentive program, generous vacation, paid wellness days and support for learning and development. Telix Pharmaceuticals is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. VIEW OUR PRIVACY POLICY HERE

At NVIDIA, we address some of the world's most exciting challenges with our unique approach to accelerated computing. As a Senior Quantum Algorithm Researcher you will help grow the adoption of our products and collaborate with Product, Engineering, and Research teams to drive innovation at the intersection of quantum computing applications and AI. Your work will contribute to NVIDIA quantum product in key areas such as AI methods for quantum algorithm discovery, advanced quantum simulations, and digital twins. NVIDIA's Quantum group is a small, high-impact team visible both internally within NVIDIA and externally across the global quantum community. We're looking for passionate quantum algorithm researchers who want to help define the future of the field. Do you have deep technical expertise in quantum algorithms and applications, and a drive to push the boundaries of technology? If yes, we'd love to hear from you! What You'll Be Doing: Establish and lead technical collaborations with supercomputing centers (SCCs) on hybrid quantum-classical application development across multiple industry verticals. Lead research pathfinding in AI for quantum algorithms. Lead all aspects of and drive the execution of technical results for projects in collaboration with our strategic partnerships, including SCCs, leading QPU builders, and needle-moving researchers, ensuring alignment with strategic objectives and customer success. Contribute to NVIDIA's revenue stream through strategic technical engagement and the development of innovative solutions that support customer adoption and long-term partnerships. Publish impactful research works and represent NVIDIA at relevant scientific, technical, and industry conferences. What We Need To See: Ph .D. in Quantum Computing, Physics, Computer Science, or a related field (or equivalent experience). Over 9 years of experience working on Quantum Algorithms and Applications. Demonstrated leadership in technical collaborations with industry partners. Excellent programming skills in Python, C++, and a parallel programming model (e.g., CUDA). World-class communication and interpersonal skills with a proven ability to articulate a value proposition to technical and non-technical audiences. A track record of research excellence demonstrated in publications and presentations at leading conferences. Ways To Stand Out From The Crowd: Recognized thought-leadership in the cross section of quantum applied research and high-performance computing. Experience with the NVIDIA Quantum platform (cu Quantum or CUDA-Q)! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 299,000 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 31, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Working/Functional Title Ast/Asc/Full Prof. TS - Cancer Stem Cell Biology The Precision Health Program (PHP) at Michigan State University is accepting applications for a Tenure System faculty position, rank of Assistant / Associate / Full Professor commensurate with experience and qualifications. Led by Dr. Anna Moore, Associate Dean for the College of Human Medicine, PHP is a newly established university-wide vigorous program currently consisting of five laboratories conducting independent research in the areas of cancer, diabetes, cardiovascular diseases and nanobiotechnologies (https://precisionhealth.msu.edu). The Program occupies the second floor of the Interdisciplinary Sciences and Technology Building, constructed by the university in September of 2019. The successful candidates will be highly motivated and innovative scientists with a Ph.D. in biomedical sciences, 8-10 years of research experience and a track record of excellence in of cancer stem cell biology research, including familiarity with research applications of in vivo imaging and direct experience with cancer stem cell biology. PHP Faculty are responsible for establishing their labs with sustainable research programs, participating in collaborative research, making significant scholarly contributions to their respective disciplines, obtaining extramural funding, and engaging in institutional and professional service and education. Compensation and Benefits Faculty at MSU enjoy competitive benefits, development, recognition, and retirement options, details of each area available at this site - MSU Faculty and Academic Staff. Benefits include health, dental, and life insurance coverage options, as well as employer paid long-term disability coverage. Retirement plans include a 2 to 1 employer match for an employee contribution of 5% to the 403(b) Base plan, a 403(b) supplemental plan and 457(b) deferred compensation plan are also available. Base salary for this position starts at $100,000 and is negotiable, based on experience and qualifications. Additionally, a generous start-up package will be offered. Equal Employment Opportunity Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status. Required Degree Doctorate -Biomedical Sciences Minimum Requirements PhD in a Biomedical Science field with 8-10 years of research experience relevant to cancer stem cell biology, in vitro and in vivo applications, experiment design and execution, and data analysis. Desired Qualifications Hands-on experience with cancer stem cells, analytical assays, testing and imaging. Required Application Materials CV Cover Letter Name and contact information for (3) references. The search committee will not contact references without first notifying the candidate Review of Applications Begins On 02/03/2025 Summary of Health Risks Exposure to human blood, serum, tissue, and other body fluids; and materials covered under Universal Precautions. Work with animals or unfixed animal tissue Remote Work Statement MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon. Website RADIOLOGY.MSU.EDU Department Statement Michigan State University Department of Radiology strives to become a nationally and internationally acclaimed department by providing access to the highest quality medical care in our patient-centered environment, training future generations of highly skilled and compassionate physicians, advancing medical knowledge through state-of-the-art research, while meeting the wellness needs of our population through community outreach. MSU Statement Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Machine Learning Engineering Qualcomm's Multimedia R&D and Standards Group is seeking a candidate for the position of Video Compression Research Engineer with a focus on machine learning for video compression. You join a world-renowned team of video compression experts who develop algorithms, hardware architectures, and systems for state-of-the-art applications of classical and machine learning methods in video compression, video processing, point cloud coding and processing, AR/VR and computer vision use cases. The ideal candidate will be a highly self-directed individual with strong creative and analytic skills, and a passion for machine learning and video compression technologies. This role offers the opportunity to contribute to groundbreaking advancements in video compression technology and working with a team of experts in a dynamic and collaborative environment. We are considering candidates with various levels of experience. We are flexible on location and open to hiring anywhere, with preferred locations in USA, Germany and Taiwan. Responsibilities: * Contribute to the conception, development, implementation, and optimization of new Neural Networks based algorithms allowing improved video compression. * Represent Qualcomm in the related standardization forums: JVET, MPEG Video, and ITU-T/VCEG. * Document and present new algorithms and implementations in various forms, including standards contributions, patent applications, conference papers and presentations, and journal publications, etc. Ideal candidate would have the skills/experience below: * Developed innovative artificial intelligence/machine learning algorithms preferably related to data compression or computer vision. * Knowledge of the theory, algorithms, and techniques used in video and image coding. * Experience in video compression standards, such as VVC/H.266 or HEVC/H.265, is a significant benefit. * Track record of successful research accomplishments demonstrated through published papers at leading conferences, and/or patent applications. * Excellent programming skills including Python and C/C++ combined with knowledge of at least one machine learning framework such as PyTorch. * Strong written and verbal English communication skills, great work ethic, and ability to work in a team environment to accomplish common goals. Qualifications: * PhD or Masters degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar fields. * 1+ years of experience with programming language such as C, C++, MATLAB, etc. Minimum Qualifications: * Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Pay range and Other Compensation & Benefits: $158,400.00 - $237,600.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link. If you would like more information about this role, please contact Qualcomm Careers.

SmarterDx, a Smarter Technologies company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers. Role As a Machine Learning Research Scientist, you will lead groundbreaking ML research and development at SmarterDx, collaborating closely with experienced engineers and clinicians to turn your inventions into enterprise-grade products. With minimal supervision, you will establish a research agenda informed by emerging trends in AI, develop and rigorously evaluate your proposed algorithms, deploy your algorithms into production, and monitor impact. You will collaborate closely with other machine learning research scientists to identify the most promising areas of AI/ML R&D for SmarterDx and establish shared infrastructure to accelerate research efforts across the team. What You'll Do 45% Hands-on implementing new methods and relevant baseline models (ML Research) 20% Working cross-functionally to deploy models into production (MLOps, MLE) 20% Data Science (data engineering, dataset curation, experimental design, model updates, product domain expertise) 15% Academics & Outreach (e.g., scientific reading & writing, publishing, presenting at conferences, recruiting) Become a domain expert at clinical data and the healthcare ecosystem Own end to end model development including deployment into production and production monitoring, learning Machine Learning Operations (MLOps) Post training to align large language models (LLMs) on proprietary clinical data Develop new self-supervised pre-training tasks for improving models Develop novel retrieval, attribution and hallucination detection strategies for generative models Develop novel methods for explaining and summarizing diagnostic classifications Develop methods for selecting data sources to include in training (data-centric AI) Develop novel graph-based algorithms for improving classification of diseases and procedures with few or no labels Develop novel methods for multimodal data fusion (structured and unstructured data) Long-sequence language modeling What You Bring Desire to translate research into tangible positive impact by deploying research into production engineering systems (MLOps) With scientific concepts, technical debugging or domain knowledge, ability and desire to communicate clearly and proactively when conveying or receiving Deep “under-the-hood” understanding of modern neural network architectures and distributed training. ie knows the differences between SwiGLU vs. sigmoid, GRUs vs. transformers vs SSMs, encoders vs. decoders, masked language models vs. autoregressive language models, Megatron vs nanotron vs DeepSpeed Extensive experience developing, implementing and training state-of-the-art deep learning models using multiple GPUs and nodes if necessary for large language models with frameworks such as PyTorch, JAX, etc Ability to assess, understand and create high-quality machine learning research, as demonstrated through publications at top-tier conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR, AAAI, NEJM AI, JAMIA, npj Digital Medicine, ar Xiv) Nice To Haves MLSys skills ie knows the differences between tensor vs pipeline vs data parallelism, gloo vs mpi vs nccl, CUDA vs ROCm, Triton vs ThunderKittens Familiarity with inference optimizations, ie vLLM, SGLang, continuous batching, KV Caching, speculative decoding Our Tech Stack PyTorch, Python, GitHub, Snowflake, Huggingface Transformers, AWS Sagemaker, Microsoft DeepSpeed, TorchTune, Apache Airflow, SLURM, Kubernetes Compensation $200-220k base salary + equity incentives #LI-Remote Benefits Medical, Dental & Vision - Comprehensive plans with leading insurance providers, covering 90-100% of your premiums and 70-90% for dependents, depending on the plan. One Medical Membership - Free membership included if you enroll in a SmarterDx medical plan. Paid Parental Leave - Generous paid leave to support families through birth or adoption: Up to 12 weeks for birthing parents and 6 weeks for non-birthing parents. Remote-First Team - Work from anywhere in the U.S. with a $400 home office reimbursement stipend. Unlimited PTO & 10 Holidays - 4 of which include floating holidays so you can recognize the days that matter most to you. Learning & Development Budget - $500 per year (prorated) for courses, books, and resources to expand your skills. 401(k) with Traditional & Roth Options - Tax-advantaged retirement savings through Empower. Minimal Bureaucracy - A fast-moving, high-impact environment where you can focus on what matters. Incredible Teammates! - Work alongside smart, supportive, and mission-driven colleagues.

Job Description Radiopharmaceutical Imaging and Dosimetry, LLC (Rapid) is a precision medicine company founded in 2016 out of Johns Hopkins University. We develop advanced software and services to support imaging and dosimetry of radiopharmaceutical therapy (RPT)-a transformative approach to cancer care that delivers targeted radiation to tumors with unprecedented accuracy. Our mission is to make cancer curable by enabling simplified, accurate, and standardized dosimetry-empowering clinicians to deliver individualized, evidence-based radiation doses for every patient. Rapid is a fully remote, mission-driven company with a diverse and growing team dedicated to driving innovation at the intersection of medical imaging, dosimetry, and software development. Position: Research Scientist - Radiopharmaceutical Imaging and Dosimetry We are seeking a Research Scientist to lead and contribute to the development of new technologies and methodologies that advance the clinical use of RPT. This role involves applied research, algorithm development, and collaborative innovation across imaging physics, dosimetry, and software tools. This is an outstanding opportunity to work at the forefront of a rapidly evolving field alongside a passionate team committed to changing the standard of cancer care.Responsibilities Lead and support projects developing and validating quantitative SPECT methods using data from conventional and novel scanner geometries Develop and validate algorithms for image- and organ-based radiation dose calculation Lead and support projects applying artificial intelligence to image reconstruction and dosimetry Collaborate with software engineers, clinicians, and external research partners to implement the algorithms and methods in products and services Contribute to scientific publications, white papers, and conference presentations Participate in the preparation of documentation for clinical validation and regulatory filings Stay informed on emerging trends and literature in the field Required Qualifications PhD or MS in Medical Physics, Biomedical Engineering, Nuclear Medicine, or a related field Hands-on experience with quantitative imaging, radiopharmaceutical therapy, or internal dosimetry Proficiency in scientific programming (e.g., Python, C) and data analysis Strong foundation in medical imaging modalities (e.g., SPECT, PET, CT) Self-driven, well-organized, and effective at remote collaboration Excellent written and verbal communication skills Preferred Qualifications Familiarity with clinical workflows and imaging protocols in nuclear medicine Publication record in nuclear medicine image reconstruction, AI, dosimetry, or RPT Experience contributing to regulated medical device development (e.g., FDA submissions) Why Join Rapid? ✅ 100% remote - work from anywhere ✅ Make a real impact in cancer treatment innovation ✅ Collaborative, highly skilled, and mission-oriented team ✅ Flexible hours and dynamic projects ✅ Competitive salary and benefits package Powered by JazzHR Hif6EIqMM3

About Upstart Upstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstart's AI marketplace, Upstart-powered banks and credit unions can have higher approval rates and lower loss rates across races, ages, and genders, while simultaneously delivering the exceptional digital-first lending experience their customers demand. More than 80% of borrowers are approved instantly, with zero documentation to upload. Upstart is a digital-first company, which means that most Upstarters live and work anywhere in the United States. However, we also have offices in San Mateo, California; Columbus, Ohio; and Austin, Texas. Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can make at Upstart, we'd love to hear from you! The Team: At Upstart, our mission is to expand access to credit using advanced machine learning models that better evaluate true risk. As part of this, our teams focus on developing models across various verticals, including Growth marketing, Auto Loans, and Personal Loans Underwriting. These teams are critical to the success of Upstart, directly impacting our customer acquisition efforts and revenue generation through predictive modeling, innovative algorithms, and cross-functional collaboration. Our Machine Learning (ML) Teams work on creating and deploying production models that power key aspects of Upstart's business: Growth: Models that predict conversion probabilities and prioritize high-potential prospects for outbound marketing. Auto Loans: Models that underwrite all auto loans, assessing true borrower risk based on innovative features and methodologies. Personal Loan Underwriting: Models that evaluate every applicant's risk, having a direct impact on Upstart's core business. As a Research Scientist, you will have the opportunity to work in one of these highly specialized teams, contributing to the development and deployment of business-critical models, optimizing marketing strategies, underwriting processes, and enhancing business metrics. The Role: Research and develop new machine learning models to enhance the accuracy of predictions in borrower risk, marketing conversions, or underwriting processes. Design, prototype, and deploy models to production, ensuring robust and scalable implementations. Collaborate cross-functionally with engineers, product managers, and marketing specialists to experiment with and optimize models for business outcomes. Evaluate the performance of models, interpret their impact on business metrics, and present actionable insights to stakeholders. Continuously explore novel algorithms and methodologies to keep Upstart's ML systems at the cutting edge of technology. Mentor junior team members and contribute to the development of a high-quality, production-ready codebase. Minimum Qualifications: Bachelor's degree in a scientific or quantitative discipline (e.g., Math, Physics, Computer Science, Statistics, Economics, Operations Research). 2+ years of experience in Machine Learning or a similar field. Proficiency in Python or other programming languages. Strong understanding of statistical, probability, and machine learning theory. Full-stack expertise in the modeling process from ideation to production, OR deep expertise in either statistical modeling or machine learning. Ability to break down complex tasks into smaller steps and make the right tradeoffs to deliver projects on time. Ability to communicate technical concepts effectively to non-technical stakeholders. Strong sense of intellectual curiosity, humility, and teamwork. Preferred Qualifications: Master's degree or PhD in a quantitative discipline (e.g., Math, Physics, Economics, Computer Science, Statistics, Operations Research). Deep expertise in Python and experience with machine learning frameworks. Experience leading or mentoring junior members in a technical team. Proficiency in building and deploying machine learning pipelines and engineering architecture. Strong critical thinking skills and ability to develop testable hypotheses. Proven ability to meet high standards in terms of quality and velocity with minimal direction. What you'll love: Competitive Compensation (base + bonus & equity) Comprehensive medical, dental, and vision coverage Personal Development and Technology & Ergonomic Budgets Life insurance and disability benefits Clubs and Activities (Game Nights, Fitstarters, Superwomen, Book Club, Investing Club, Money Discussions, Photography Club and Basketball teams) Generous vacation policy 401(k) and Employee Stock Purchase Plan (ESPP) Catered lunches + snacks & drinks Position Location: This role is available in remote locations across the United States. Team collaboration happens through a mix of remote and in-person sessions, with regular on-site meetings happening 1-2 times per quarter. #LI-REMOTE #LI-Associate At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location-with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). United States | Remote - Anticipated Base Salary Range$123,200-$170,500 USD Upstart is a proud Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive better access to affordable credit, and are just as committed to embracing diversity and inclusion in our hiring practices. We celebrate all cultures, backgrounds, perspectives, and experiences, and know that we can only become better together. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com ************************************************

Who We Are Pindrop is redefining trust in the digital age. Our patented voice, and video authentication, fraud detection, and deepfake detection technologies protect some of the world's largest banks, insurers, retailers, and healthcare leaders. As AI-driven threats evolve in the form of synthetic voices, deepfakes, face swapping and more, our solutions stay ahead, helping ensure that the real human and the right human are recognized. Pindrop is trusted by Fortune 500 enterprises to secure voice interactions, and with $100M ARR we're entering our next phase of innovation and growth, backed by world-class investors including Andreessen Horowitz, IVP, and CapitalG. What you'll do Conduct experimental studies on various natural language processing and machine learning tasks to assess the accuracy and quality of pre-existing models Help the transition of research models into production on different platforms Conduct proof-of-concept experiments on lab and customer data Publish patents and peer-reviewed papers in top machine learning conferences Help your teammates in reviewing their research projects Propose new ML models that improve Pindrop products Leverage cloud AI platforms, including: AWS Bedrock (Converse API, Agents, Knowledge Bases, Guardrails) Google Cloud Vertex AI (Gemini API, Agent Builder, Vector Search, Search & Grounding, Model Garden) Champion Responsible AI, including safety guardrails, red-teaming, fairness/bias testing, and human-in-the-loop workflows. Who you are You are a creative problem solver who is excited about building amazing products that add real value to millions of people You are enthusiastic about natural language processing as well as developing research ideas into products You can explain complex topics in simple terms, and you love building strong relationships with colleagues and stakeholders You are a self-starter and excel in a fast-paced, dynamic environment You are resilient in the face of challenges, change, and ambiguity You are optimistic and believe that you can make a problem into a solution You are resourceful, excited to uncover innovative solutions, and teach yourself something new when needed You take accountability, do the things you say you'll do, under-promise and over-deliver You are nimble and adaptable when priorities change and continue to see the “forest through the trees” Your skill-set Master's and/or PhDs in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) required 3+ years of professional experience as a researcher in natural language processing, authorship verification, language models, intent recognition, emotion detection, and/or generative AI. Experience with natural language processing required Experience using AI-driven code research and development using AI assistants (eg, Anthropic or Copilot) Strong Python skills Experience with ML frameworks: PyTorch, TensorFlow, Keras Proven track record of peer-reviewed publications at prestigious conferences and journals. Proven track record of successful and timely project delivery Strong collaboration & proven success in partnering with stakeholders Preferably, you have experience with NLP competitions and challenges (PAN, Kaggle, NIST SRE, Chime, etc.) Preferably, you have deep knowledge of authentication, fraud, or customer experience concepts Preferably, you have experience communicating with internal and external customers around proof-of-concepts, issues, etc. What's in it for you As a Pindropper, you join a rapidly growing company making technology more human with the power of voice. You will work alongside some of the best and brightest. We're a passionate group committed to excellence - but that doesn't stop us from enjoying the journey as a team with chess and poker tournaments, catered lunches and happy hours, wellness programming, and more. Because we take our jobs seriously, we add in time for rest with Unlimited PTO. You will also be part of Pindrop's Research team, working on revolutionary research ideas against deepfake threats. This role provides the opportunity to work on cutting-edge technology, collaborate with experts to enhance real-time communication safety, and contribute to innovative solutions. Within 30 days, you'll Understand Pindrop as a product and the voice technology space. Dive into your role and understand how your success will be measured. Get acclimated to your surroundings and your team, including meeting with your onboarding buddy and key department members. Read through the Pindrop Lexicon to familiarize yourself with company terms and complete any required role-based training. Be introduced to your team and colleagues and added to any standing meetings, such as 1:1s, standups, and weekly touchpoints. Complete onboarding and attend New Employee Orientation sessions with other new Pindroppers. Within 60 days, you'll Accomplish some quick wins and start adding value, particularly within your immediate responsibilities. Establish relationships with key partners for continued collaboration and build your Objectives and Key Results (OKRs) for the next quarter. Understand expectations for the team and be able to start planning for development and contributing to projects. Start a research project agreed upon with your direct manager. Within 90 days, you'll Schedule and complete a 90-day check-in with your manager to discuss wins, blockers, and next steps. Have an intermediate level of familiarity with the products and corresponding research initiatives. Start executing against the research roadmap and contribute significantly to team objectives. What we offer As a part of Pindrop, you'll have a direct impact on our growing list of products and the future of security in the voice-driven economy. We hire great people and take care of them. Here's a snapshot of the benefits we offer: Competitive compensation, including equity for all employees Unlimited Paid Time Off (PTO) Generous health and welfare plans to choose from - including one employer-paid “employee-only” plan! Best-in-class Health Savings Account (HSA) employer contribution Affordable vision and dental plans for you and your family Employer-provided life and disability coverage with additional supplemental options Paid Parental Leave - Equal for all parents, including birth, adoptive & foster parents One year of diaper delivery for your newest addition to the family! It's our way of welcoming new Pindroplets to the family! Identity protection through Norton LifeLock Recurring monthly Phone and Internet allowance One-time home office allowance Remote first environment - meaning you have flexibility in your day! Company holidays Annual professional development and learning benefit Pick your own Apple MacBook Pro Retirement plan with competitive 401(k) match Wellness Program, including Employee Assistance Program, 24/7 Telemedicine #LI-Remote Please note that the base pay range is a general guideline only. Pindrop considers factors such as (but not limited to) scope and responsibilities of the position, a candidate's work experience, education/training, and key skills, as well as market and business considerations, when extending an offer. US Base Pay Range $150,000-$175,000 USDWhat we live by At Pindrop, our Core Values are fundamental beliefs at the center of all we do. They are our guiding principles that dictate our actions and behaviors. Our Values are deeply embedded into our culture in big and small ways and even help us decide right from wrong when the path forward is unclear. At Pindrop, we believe in taking accountability to make decisions and act in a way that reflects who we are. We truly believe making decisions and acting with our Core Values in mind will help us to achieve our goals and keep Pindrop a great place to work: Audaciously Innovate - We continue to change the world, and the way people safely engage and interact with technology. As first principle thinkers, we challenge standards, take risks and learn from our mistakes in order to make positive change and continuous improvement. We believe nothing is impossible. Evangelical Customers for Life - We delight, inspire and empower customers from day one and for life. We create a partnership and experience that results in a shared passion. We are champions for our customers, and our customers become our champions, creating a universal commitment to one another. Execution Excellence - We do what we say and say what we do. We are accountable for making the tough decisions and necessary tradeoffs to deliver quality and effective solutions on time. Win as a Company - Every time we win, we win as a company. Every time we lose, we lose as a company. We break down silos, support one another, embrace diversity and celebrate our successes. We are better together. Make a Difference - Every day we have the opportunity to make a positive impact. We operate with dedication, passion, and uncompromising integrity, creating a safer, more secure world. Not sure if this is you? We want a diverse, global team, with a broad range of experience and perspectives. If this job sounds great, but you're not sure if you qualify, apply anyway! We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time. Pindrop is an Equal Opportunity Employer Here at Pindrop, it is our mission to create and maintain a diverse and inclusive work environment. As an equal opportunity employer, all qualified applicants receive consideration for employment without regard to race, color, age, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetic information, disability, marital and/or veteran status.

NORC at the University of Chicago is seeking a qualified Research Scientist to support the Health Care Research Department in our Chicago Loop office. This position is responsible for providing direction and task leadership in all aspects of project work, including, but not limited to Medicare and/or Medicaid data, and which could include analytic approach, questionnaire design, data collection strategy, acquisition of existing data, data analysis, and/or preparing study conclusions for projects. NORC recognizes that talented and skilled researchers live throughout the U.S. and actively supports remote work arrangements. As a condition of employment, all NORC employees and contractors - including those working remotely - must be fully vaccinated (as defined by current CDC guidance) against COVID-19. DEPARTMENT: Health Care Programs and Evaluation NORC's expertise and ongoing work in health care delivery and financing - including access to insurance, payment and delivery-system reform, benefit design, and quality measurement - advance stakeholders' understanding of policies and programs, facilitate implementation, and contribute to important improvements in cost and quality. NORC's expert staff has extensive knowledge of all aspects of health care delivery, from private marketplaces and employer-sponsored insurance to Medicare and Medicaid; from large health care systems to small clinics; and from the needs of children to those of older adults, people with disabilities, and ethnic and racial minorities. Our expert team includes social scientists that acquire, collect, and analyze data from health care organizations and patients; evaluators; health services researchers; health-policy analysts; and professionals with first-hand experience running and supporting health care programs. NORC's Health Care staff work closely with colleagues in Health Sciences and Public Health to offer program, policy, and research solutions. Our work is guided by a commitment to long-lasting partnerships, transparency, and high-quality, nonpartisan research that improves health and health care for all people. RESPONSIBILITIES: Serve as task leader on complex scientific and or technical components of large projects, or a series of smaller projects, as part of a multidisciplinary team. Contribute substantively to planning discussions around the collaborative design of quantitative and qualitative research studies, evaluations, and analyses. Develop structured interview protocols and content; and lead or co-lead stakeholder interviews. Assist with the management and oversight of project-specific budgets and contracts. Work closely with project leadership and clients to ensure that we meet contractual requirements (deliverables and timelines) and client expectations using the highest standards of quality and collegiality, and within budget parameters. Author sections of analysis reports, technical reports, and other documented deliverables that are due to the client as described in project statements of work. Co-author and present research at client and professional meetings and participate in in-person briefings of project findings. Contribute to the development of abstracts and articles for publication in refereed journals. As part of the larger proposal team, and with guidance from departmental leadership Independently draft and manage contract proposals and grant applications, communicating effectively with proposal team members, within and across departments, with clients, consultants, and members of the policy and research community. Supervise and mentor junior staff, as relevant to experience, and tasks Perform other duties as assigned within the department to contribute to the growth and to ensure the well-being of its members. REQUIRED SKILLS: Master's Degree or Bachelor's Degree in public policy or related fields (training in an array of social science disciplines will be considered). PhD preferred. At least 7 years' experience in positions of increasing responsibility in evaluation research, policy analysis, survey research or related field (or equivalent education) including at least 3 years of social science project management. Knowledge of the Medicare and/or Medicaid programs, including delivery system reform, provider payment, access to care, and beneficiary experience. Familiarity with Medicare, Medicaid, and/or commercial claims data is a plus Experience working for the federal government or a federal contractor, ideally with work focusing on the Medicare and/or Medicaid program. Experience with conducting policy analysis in a government or professional services environment. Experience with and knowledge of the principles of quantitative and qualitative research design, data collection, and data analysis. Experience with estimating project and proposal costs and managing project budgets. Excellent oral and written communication skills and aptitude in working with project teams, leading tasks, and coordinating across multiple projects (including those run by others within NORC). WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 75 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an affirmative action, equal opportunity employer that values and actively seeks diversity in the workforce. NORC evaluates qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity, and other legally- protected characteristics. #LI-MS1

IPinfo is a leading provider of IP address data, including geolocation, VPN and residential proxy detection, mobile carrier data and over 20 other context tags. Our API handles over 120 billion requests a month, and we also license our data for use in many products and services you might have used. We're a fast growing bootstrapped business with a global team of around 60 people, and offer data products including IP geolocation, IP to company, carrier detection, and VPN detection. Our customers include Cloudflare, T-Mobile, SpaceX, DemandBase, Clearbit, and many more. We also sponsor academic conferences such as ACM IMC and ACM CoNEXT to connect with fellow researchers. How We Work We have an ambitious team, spread all over the globe. We sync up on a monthly all-hands Zoom call, and most teams do a call together every 1-2 weeks. Everything else happens asynchronously, via Slack, GitHub, Linear, and Notion. That means you can pick the hours that work best for you, to allow you to be at your most productive. Work within the research team to extract deep knowledge from our data, collaborate with fellow researchers on academic research papers, and discuss ideas at academic Internet measurement conferences. To thrive in this environment you'll need to have high levels of autonomy and ownership. You have to be resourceful and able to work effectively in a remote setup. Responsibilities We collect more than 75TB of Internet data every week, including BGP, DNS, ping and traceroute data from more than 1200 servers around the world. Our research team is at the forefront of analyzing and evaluating this data to ensure it finds its way into our producs - IP geolocation, VPN detection, our IP tags and more. In this role you will be analyzing that data, collaborate with fellow researchers from universities and research institutes, write academic papers and reports based on your analyses, implement measurement and analysis techniques from cutting-edge research, and discuss your findings at academic conferences. Check out ************************** to find example research projects at IPinfo. Skills and Experience PhD in computer science, data science, statistics, or a related field - or equivalent experience Proven experience as a researcher or in a related role Publication track record in networking or security conferences (e.g., ACM IMC, ACM SIGCOMM, ACM CoNEXT) or journals (e.g., ACM SIGCOMM CCR, IEEE/ACM Transactions on Networking) Strong proficiency in programming languages such as Python or Go; data analysis using SQL, pandas, or R Excellent analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Experience with data visualization tools and techniques Strong communication skills and the ability to translate data into actionable insights Commitment to continuous learning and improvement - curious, flexible, believing it can be done better What we offer Opportunity to make measurable impact and operate with autonomy 100% remote team and work environment Flexible working hours Competitive salary Flexible vacation policy Interesting and challenging work

About Sei Sei Labs builds open sourced technology for the high-performance Sei Blockchain, the first parallelized EVM Layer 1 blockchain designed to scale with the industry. The unique optimizations built into Sei enable Web3 applications to reach Web2 level scale and performance, driving the mass adoption of digital assets. The Sei Labs team is comprised of former Google, Goldman Sachs, Robinhood, Nvidia, and Databricks veterans dedicated to onboarding the next billion users onto a vibrant ecosystem of applications. Sei Labs has raised over $30M from top investors including Jump Crypto, Multicoin Capital, Coinbase Ventures, Distributed Global, Hudson River Trading, and Flow Traders. We're a globally distributed team with a fully remote workforce. Check out our website and docs for more details. Position Overview We're looking for a Research Scientist to join our team at the frontier of blockchain research and engineering. This is an opportunity for an early-career researcher (postdocs also welcome) to work on novel, unsolved problems in distributed systems, cryptography, and mechanism design - and see their work directly shape the next generation of blockchain infrastructure. This is a rare chance to work on problems that are unsolved both in academia and industry, and to see your research deployed at scale. You'll be joining a small, ambitious team where researchers and engineers work side by side to invent the future of decentralized systems. Some of our current research streams include: Modelling MEV in a multi-concurrent proposer blockchain context. Designing improved encryption constructions for private data availability (DA), and Advancing consensus protocols to improve scalability and robustness.What You'll Do Conduct original research in blockchain systems - bridging theory, cryptography, and practical engineering constraints. Collaborate closely with engineers to translate research into systems that run at 5 gigagas/second scale. Publish papers and technical reports that advance both the academic and practitioner communities in web3. Partner with leading researchers at other blockchain companies and universities to push the boundaries of what's possible. Influence the engineering direction of our blockchain by grounding design decisions in rigorous analysis. What We're Looking For PhD in Cryptography, Computer Science, Mathematics, etc. with a strong interest and existing research in Blockchain adjacent technologies 0-2 years of post-PhD experience (Postdocs / upcoming PhD's welcome to apply) Strong background in one or more of: cryptography, distributed systems, consensus, game theory, or applied mathematics Strong curiosity for blockchain/web3 research, with motivation to shape production systems and protocols, not just papers

ISEE is seeking full-time Research Scientists to join our team. The ideal candidate has several years of research/work experience. Role responsibilities include:- Leading research contributing to the development of humanistic AI for autonomous systems- Conducting research in the areas of: Robotics, Artificial Intelligence, Machine Learning, Perception, Modeling, Simulation, Applied Mathematics, Probabilistic Modeling and Inference or related areas- Collaborating with engineering and business teams to develop novel solutions to real-world problems- Designing experiments and metrics for benchmarking results Publishing research in top-tier conferences and journals Qualifications:- PhD in Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Control Engineering, Machine Learning, Statistics, or a related field- Passionate about self-driving vehicles and real-world robotics solutions.- Experience collecting, processing, and analyzing real-world data.- Strong presentation and communication skills. Recommended- Publication record in top-tier conferences in Robotics and related fields.- Programming experience, ideally with Python and/or C++.- Robotics experience is a plus.

About Model Shaping The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. About the Role As a Research Scientist in Large-Scale Learning, you will work on the methods for increasing the efficiency of training foundation models, in terms of both speed and resource efficiency. You will analyze the limitations of state-of-the art techniques for neural network training, as well as the unique performance challenges of Together's training setups. Based on this analysis, you will propose and implement new approaches, targeting both algorithmic improvements and systems optimizations. After evaluating your ideas through experimentation, you will present your findings to the global scientific community at leading ML/ML Systems conferences and collaborate with your teammates to integrate those improvements into Together's platform. Responsibilities Define and drive the research agenda around efficiency and performance of foundation model training Study recent results from the broader AI research community, analyzing their relevance to the team's research directions and ongoing projects Conduct experiments to empirically validate your hypotheses and compare the outcomes with relevant related work Share your findings both internally and externally (e.g., at top-tier conferences on ML and ML Systems) Partner with Machine Learning Engineers to integrate advanced methods into Together's Model Shaping platform Requirements Can autonomously design, implement, and validate your research ideas Skilled at writing high-quality and efficient code in Python and PyTorch Have first-author publications at leading conferences on ML or ML Systems (ICLR, ICML, NeurIPS, MLSys) Are a strong communicator, ready to both discuss your research plans with other scientists and explain them to broader audience Follow the latest advances in relevant subfields of AI Passionate about seeing your research create real-world impact through Together AI's services and willing to work hands-on with production systems to achieve it Stand-out experience: Algorithmic modifications of large neural network training (e.g., novel optimization algorithms or model adaptation techniques) Distributed optimization (including federated learning, communication-efficient optimization, and decentralized training) ML systems optimizations for distributed training, memory efficiency, or compute efficiency Writing optimized NVIDIA GPU kernels or communication collectives using NVIDIA's networking stack (e.g., NCCL or NVSHMEM) Running large-scale experiments on GPU clusters About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, RedPajama, SWARM Parallelism, and SpecExec. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is $225,000 - $300,000. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at *******************************

You are an ML Researcher who has a broad view of the generative media space and an update-to-date awareness of new methods in the space. You can spot products and features that are missing in the current market and work backwards to develop new methods to solve customers problems. Sometimes your work will require entirely novel training or architecture developments. While other times it will require fine-tuning pre-existing models with novel datasets. You are able to consider the expected return on investment of different approaches, and more excited about using research to develop novel products, then research for research's sake. Tech: You will have access to our massive GPU cluster for training and inference Some core technologies we use include Python, torch, diffusers, and the fal Python SDK You'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs You have work published in ICCV, ICML, Neurips, CVPR What we offer at fal Interesting and challenging work Competitive salary and equity Employee-friendly equity terms (early exercise, extended exercise) A lot of learning and growth opportunities We are currently hiring in downtown San Francisco. We prefer to work in-person but we also offer remote work opportunities for exceptional candidates. We offer visa sponsorship and will help you relocate to San Francisco. Health, dental, and vision insurance (US) Regular team events and offsites

About the Role We're looking for a Research Scientist with a strong foundation in geometry processing and a deep interest in how modern learning systems can represent and reconstruct shape. You'll work at the intersection of discrete and differential geometry, shape tokenization, and generative modelling, developing methods for unwrapping, remeshing, and reconstructing 3D geometry that are compact, controllable, and scalable. What You'll Do Research and develop AI-assisted geometry processing pipelines for UV unwrapping, remeshing, geometric reconstruction, and shape generation. Design learning-based representations for geometry (meshes, point clouds, implicit fields) that capture structure, topology, and correspondence. Develop token- or patch-based encoders for shape representation, enabling compression, editing, and reconstruction from learned codes. Integrate learned geometry modules into generation and reconstruction frameworks, ensuring geometric validity and multi-view consistency. Build training and evaluation pipelines with quantitative metrics for distortion, reconstruction fidelity, and mesh topology quality. Collaborate with graphics, simulation, and ML teams to bring new geometry models into creative and production pipelines. Contribute to publications, benchmarks, and internal best practices in geometry + AI research. What You Bring PhD (or equivalent experience) in Computer Graphics, Geometry Processing, Machine Learning, or a related field. Deep understanding of discrete and differential geometry, including remeshing, surface parameterization, and geometric optimization. Experience with learning-based geometry representations (e.g., geometric autoencoders, tokenization, learned unwrapping, or generative reconstruction). Strong engineering skills: proficiency with PyTorch/JAX, geometry/mesh libraries, and large-scale experiment pipelines. Ability to bridge classical geometry processing with modern learning-based techniques and apply them to practical 3D workflows. Bonus / Preferred Research or open-source work in learning-based UV unwrapping, remeshing, or geometry reconstruction. Experience developing generative 3D models or integrating learned geometry modules into diffusion / flow-matching frameworks. Familiarity with implicit neural representations, differentiable rendering, or geometry-aware latent spaces. Experience integrating geometry systems into 3D toolchains (e.g., Blender, Unreal, Unity) or graphics pipelines. Equal Employment Opportunity: We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: ************ The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. You will...- Design and execute on a research agenda for deep-learning based motion planning for self-driving.- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog. Qualifications:- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be considered.- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.- Proficient in reading and coding in Python.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Previous experience in self-driving technology. - Experience deploying ML/DL models to a production motion planning or related robotics stack.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Organizational Unit: The USF Health College of Nursing is one of 14 colleges at the University of South Florida and one of four that make up USF Health. As a member of the prestigious Association of American Universities, USF is designated by the Carnegie Foundation as both a Research 1 and a Community-Engaged institution-reflecting its commitment to excellence in education, research, and service. Nationally recognized as a leader in nursing education and research, the College of Nursing serves more than 2,000 undergraduate, master's, and doctoral students each year. For the fourth consecutive year, our Master of Science in Nursing (MSN) program has been ranked No. 1 among Florida's public universities by U.S. News & World Report -rising to No. 23 in the nation in 2025. As an integral part of USF Health, the College of Nursing is guided by a mission grounded in excellence, innovation, and respect. We are dedicated to educating future nurses, advancing nursing science, and applying evidence-based practice to improve health outcomes and community well-being. Position Summary: The GeLATO Lab (Genomics Literacy, Access, Translation, and Outcomes) at the University of South Florida advances genomic literacy and equitable access to precision health through education, research, and community engagement. The lab supports projects funded by the National Institutes of Health (NIH) and institutional initiatives that bridge genomic science with real-world health outcomes. This position will manage daily operations of the GeLATO Lab and provide logistical, technical, and administrative support for its translational genomics research and education programs. Working collaboratively with the Principal Investigator and project teams, this position ensures the smooth functioning of laboratory workflows, compliance with institutional requirements, and coordination across research and training activities. This position is part-time (0.50 FTE) and has a salary range of $44,000 - $55,000 and is well-suited for an experienced laboratory professional or research coordinator with a strong background in biology, genetics, nursing, or a related health science discipline. Minimum Qualifications: Bachelor's degree in a related field. 5+ years of experience in a related field. Degree Equivalency Clause: Four years of direct experience for a bachelor's degree. • Senate Bill 1310- The Florida Senate (************************************************ is conditional upon meeting all employment eligibility requirements in the U.S. • SB 1310: Substitution of Work Experience for Postsecondary Education Requirements • A public employer may include a postsecondary degree as a baseline requirement only as an alternative to the number of years of direct experience required, not to exceed: • (a) Two years of direct experience for an associate degree; • (b) Four years of direct experience for a bachelor's degree; • (c) Six years of direct experience for a master's degree; • (d) Seven years of direct experience for a professional degree; or • (e) Nine years of direct experience for a doctoral degree • Related work experience may not substitute for any required licensure, certification, or registration required for the position of employment as established by the public employer and indicated in the advertised description of the position of employment. • Minimum Qualifications that require a high school diploma are exempt from SB 1310. Preferred Qualifications • Master's degree in nursing, public health, biology, or a related health science discipline. • At least 3 years of experience in a research, laboratory, or academic program coordination role. • Experience with genomics, molecular biology, or translational research projects. • Prior involvement in NIH-funded or academic research programs. • Knowledge of data entry systems, laboratory software, or educational technology platforms. • Experience mentoring students or supporting workforce training initiatives. • Familiarity with laboratory operations, data organization, and research compliance (e.g., IRB, biosafety, REDCap, Qualtrics). • Strong organizational, communication, and teamwork skills. • Proficiency in Microsoft Office and general data management. • Commitment to inclusion and ethical conduct in research and education. Laboratory Operations • Oversee day-to-day operations of the GeLATO Lab, including scheduling, ordering supplies, and maintaining equipment and inventories. • Support implementation of standard operating procedures, safety policies, and data documentation. • Coordinate logistics for lab-based and educational activities, including workshops, training sessions, and collaborative projects. • Maintain accurate records of materials, samples, and project deliverables. Research and Program Support • Assist with the preparation and organization of research materials, data entry, and tracking of project timelines. • Provide technical and administrative support for ongoing studies in genomic education, translation, and workforce skilling. • Help prepare progress reports, presentations, and documentation for NIH, USF, and other research partners for compliance. • Support collaborative research efforts by coordinating communication among faculty, students, and partners. Training and Outreach • Help facilitate lab orientations and safety training for students and staff. • Support the planning and delivery of GeLATO Lab education and outreach events. • Promote a welcoming, inclusive, and collaborative lab culture aligned with the mission of advancing genomic literacy and access. Communication and Administration • Serve as primary point of contact for day-to-day lab inquiries and scheduling. • Support budgeting, purchasing, and expense tracking. • Contribute to internal reports, newsletters, and updates highlighting lab activities.

See yourself at Dataminr As an AI Research Scientist you'll be working on some of the most challenging AI problems in real-time event detection and directly contributing to products while advancing the state of the art. This role can be remote or based out of our New York City, Dublin, or London offices. AI Innovation at Dataminr Working at Dataminr you'll have the opportunity to tackle the most exciting trends in AI on a daily basis to power a revolutionary product that uncovers critical events around the world as they unfold. Regenerative AI: our AI technology, ReGenAI, is a new form of generative AI that automatically regenerates real-time Live Event Briefs as events unfold. Learn more here. Agentic AI: we recently launched our Agentic AI capability, what we're calling our Intel Agents, that autonomously generates critical context for our clients on real-time events, threats, and risks allowing them to see the clearest, most accurate view of what's happening on the ground. Learn more here Multimodal AI: our platform detects events from many different types of data (images, video, sensor data, audio, and text in over 150 languages). Learn more here. The opportunity Perform research to advance the state of the art and solve specific problems at scale in one or more of the following areas: Natural Language Processing, Machine and Deep Learning. Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products). Contribute to the research community via publications in top tier venues, participation in program committees, etc. Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice and have significant impact. Productionize and ship research into Dataminr's products, and thus to its users worldwide. Senior candidates are expected to lead technical areas and/or people. What you bring At Dataminr, we value you for who you are. We encourage you to apply for this role, even if you don't meet every qualification. Our candidates are reviewed on the basis of their skill and potential to succeed. Ph.D. in Computer Science or related field Experience in one or more of the following topics: AI for cyber security, LLMs, agentic AI, generation, machine translation, summarization, topic detection & tracking, text classification, knowledge extraction/representation/management, trending topic detection, search, machine learning and deep learning, etc. Outstanding publication record (IEEE, AAAI, NeurIPS, ACL, TACL, EMNLP, WWW, etc.). Demonstrated ability to work independently, set up experiments and demonstrate progress through principled use of metrics. Proficiency in Python and experience with relevant AI/ML libraries and frameworks such as PyTorch and Hugging Face Transformers. Experience with LLM serving technologies such as vLLM is a plus. Professional experience in industry (requirement varies depending on level; recent graduates must have had relevant internships). #LI-Remote #LI-BM About Dataminr At Dataminr, we are a mission driven team of talented builders, creators and visionaries who have real-world impact on how organizations are able to respond to events. Dataminr's groundbreaking, AI-powered, intelligence platform provides organizations with the earliest signals of emerging risks, events, and threats before they unfold. Trusted by two-thirds of the Fortune 50 and half of the Fortune 100, Dataminr's platform analyzes billions of public data inputs spanning text, image, video, audio and sensor data across 150+ languages, empowering our clients to stay one step ahead in an increasingly complex world where every second counts. Founded in 2009, we have pioneered the world's first real-time event detection platform, long before the recent Gen AI ‘boom.' Dataminr operates all around the world united by our passion to use AI for the greater good, be agents of positive change and put our technology into the hands of clients charged with the responsibility to keep organizations running and keep people safe. As our employees focus on developing our revolutionary technology, we focus on our employees. Dataminr is proud to offer a variety of flexible work arrangements, offices all over the world to foster collaboration, generous PTO and sick leave, and more, as part of our competitive benefits package aimed at keeping all our employees happy and healthy. Explore all our benefits here. We believe our differences give us strength. Our employees are empowered to be their best, authentic selves through various opportunities, such as our robust employee resource group (ERG) network, manager development programming, professional development funds, and more. We serve a global community made up of many cultures and strive to reflect the world and clients we serve, with a workforce built on merit and equity. We actively condemn racism and discrimination in any form. We stand for social good, fostering a culture of allyship, and standing up for those who face systemic barriers to equality. We lead with empathy and strive to be agents of positive change in our company and in our communities. The annual base salary range for this position is $148,240 - $218,000. You will also be eligible to receive a discretionary bonus and Company equity. Actual salary will be based on a number of factors including, but not limited to, geographic location, applicant skills, and prior relevant experience. Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status. Dataminr will collect and process your personal data. All personal data will be processed in accordance with applicable data protection laws. Please see Dataminr's candidate privacy notice available here. By providing your details and applying via our careers website, you acknowledge that you have read our candidate privacy notice. If you have any queries, please contact the People Team at *************** or privacy@dataminr.com .

Career CategoryResearchJob DescriptionJoin Amgen's Mission of Serving Patients At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Senior Scientist - Research Computational Biology (ARIA) What you will do Let's do this. The ARIA Computational Biology team is seeking a talented and creative computational biologist to further our mission of serving patients by advancing and replenishing the Amgen therapeutic pipeline. In this role you will apply your expertise in data science and disease biology to accelerate the identification, prioritization, and validation of transformative therapeutic targets in a dynamic cross-functional research environment. Focus areas include: Extracting biological insight from complex multi-modal omics and screening data to characterize disease endotypes and mechanisms, identify novel targets and biomarkers, and test therapeutic hypotheses. Developing and leveraging methods/platforms to discover, prioritize, and validate targets across diverse diseases and therapeutic modalities Innovative research in close partnership with Amgen therapeutic area scientists, spanning both internal pipeline programs and external partnerships. Partnering with our data science and information systems teams to incorporate tools and analyses developed within ARIA Computational Biology into integrated R&D platforms. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a computational biologist with these qualifications. Basic Qualifications: Doctorate in computational biology, bioinformatics, data science, or a related discipline [and relevant post-doc where applicable] Or Master's degree and 3 years of relevant research experience Or Bachelor's degree and 5 years of relevant research experience Preferred Qualifications: Strong programming skills (Python, R, Linux/Unix), familiarity with cloud computing environments, HPC, and collaborative coding practices (e.g., Git). Track record of designing and implementing creative and holistic computational strategies to address challenging research questions. Demonstrated expertise in the analysis and interpretation of single cell omics data. Excellent presentation and communication skills to convey complex findings to diverse audiences. Self-starter with a collaborative mentality and a drive for continuous growth. Strong background in cardiometabolic disease and/or immunology, including application to the interpretation of single-cell data. Experience leveraging and fine-tuning transcriptional foundation models, LLMs, and biomedical knowledge graphs to further research goals. Familiarity with public data resources (e.g. DepMap, Human Cell Atlas, TCGA, GTEx, and Tahoe-100M) frequently used to augment analyses of internally generated data. Experience developing and deploying tools and pipelines to endpoints such as interactive portals (e.g. RShiny apps), workflow management systems (e.g Nextflow), and agentic frameworks. What you can expect from us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans Flexible work models, including remote and hybrid work arrangements, where possible Apply now and make a lasting impact with the Amgen team. careers.amgen.com In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Application deadline Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. . Salary Range 132,494.00 USD - 163,875.00 USD