Graduate research associate jobs near me

Role Description Dropbox powers collaboration and cloud infrastructure for over 700 million registered users worldwide. We're building the next generation of scalable storage, distributed compute, large-scale content processing, and secure infrastructure, with AI/ML workloads top-of-mind. As a PhD Systems & AI/ML Research Intern, you'll work on meaningful infrastructure problems at the intersection of distributed systems, backend services, and AI/ML workloads. Supported by senior engineers, you'll own a project aligned with your research, that results in a working prototype with the goal of a submission for adoption internally and external publication. Come help us define and build the infra layer for our next-gen products. Responsibilities Execute a defined engineering/research project aligned with your research. Implement a prototype that addresses a concrete infrastructure or AI-systems challenge. Build and run benchmarks using realistic workloads to measure performance, reliability, or security improvements. Document the design and implementation, including assumptions, architecture, tradeoffs, and evaluation results. Deliver a final artifact that includes a working prototype, reproducible results, technical write-up, and internal presentation. Collaborate with mentors to refine the approach, validate results, and, if appropriate, prepare findings for internal adoption or external publication. Requirements PhD candidate in Computer Science or a related field graduating between Winter 2026 and Spring 2028. Proven experience in systems/infrastructure and/or AI/ML through research publications, significant projects, or internships where you built or tested advanced solutions. Strong coding skills (e.g., Python, Rust, Go, C++) plus an ability to quickly prototype and iterate on cutting-edge ideas. Curiosity and drive to explore novel systems methodologies and translate them into practical applications that solve practical needs. Excellent communication and collaboration skills, especially in interdisciplinary teams. Preferred Qualifications Prior systems publications, open-source contributions, or experience operating large-scale infrastructure Interest in translating research insights into product impact for real-world users Familiarity and passion for swiftly moving from idea to experiment, comfortable with ambiguous or evolving project goals Compensation US Pay Range$12,500-$12,500 USD

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: **************** Research Intern - Multimodal Foundation Model for Vision Sony AI is seeking research interns to join us. Our team mainly focuses on fundamental and applied research, with a focus on building next-generation foundation models for vision in a responsible manner. The role of a research intern is to develop efficient and effective methodologies and prototype solutions. You will work with a productive team of world-class scientists and engineers to tackle the most challenging problems in foundation models and generative AI, including low-cost yet powerful vision foundation models (VFM), vision-language models (VLM), unified models, automatic model compression, optimization and deployment on cloud and edge. You will see your ideas not only published in papers, but also improve the experience of billions of customers. Roles and Responsibilities Conduct fundamental and innovative development in low-cost yet powerful vision-language models (VLM), unified models, automatic model compression, optimization and deployement on cloud and edge. Design or implement state-of-the-art techs on model compression, inference speedup, deployement on harwares, tool automation. PoC for various vision+text, generation relevant tasks (VQA, captioning, understanding, etc) and hardwares. Contribute to library and tool development to support business; or Publish influential research in top-tier conferences and journals. Required Qualifications and Skills Currently has, or is in the process of obtaining, a master/PhD degree in computer science or related field. Be very self-motivated and capable of proposing and implementing innovative ideas. Solid presentation and communication skills to internal and external audiences. Publications or expertise in compact foundation model development and deployment. Influential open-source projects or paper publication at top conferences, e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ACL, etc. Better to have front-end development experience. Solid coding skills in Python, Pytorch, etc. Working Location Location flexible (Tokyo, Europe , US) The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime . #LI-AS1 All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation. Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at ******************* or by mail to: Sony Corporation of America, Human Resources Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for. We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: ***************** Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact ******************* before submitting any information. Right to Work (English/Spanish) E-Verify Participation (English/Spanish)

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: ************ You will... * Be part of a team of multidisciplinary Research Scientists and Engineers using an AI-first approach to enable safe self-driving at scale. * Lead or Contribute to an AI research project, pushing the frontiers of the field by developing new algorithms for Autonomous Vehicle (AV). This includes topics such as perception, prediction, motion planning, controls, simulation, mapping, localization, core AI, etc. * Design, implement, train, and optimize novel algorithms on self-driving vehicles and various production systems. * Be encouraged to submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company blog. Qualifications: * Pursuing PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. * Demonstrated research/software engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers. * At least one publication in top Machine Learning, Computer Vision, or Robotics conferences. * Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability. * Proficient in reading and coding in Python and/or C++.. * Open-minded and collaborative team player with willingness to help others. * Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Application Instructions: * To be considered for an internship/co-op, please add your most up to date academic transcripts alongside with your resume for further review. The US yearly hourly range for this role is: $34 - $60 USD/hr 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 hourly base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Perks/Benefits: Waabi provides a competitive benefits package that includes: * Flexible hours and Work from Home support * Daily drinks, snacks and catered meals (when in office) * Regularly scheduled team building activities and social events * 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.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. We're looking for inquisitive, collaborative UX Quantitative Research interns to bring statistical rigor to product decisions. Partnering with mentors across product, design, data, and engineering, you'll craft surveys, model attitudes alongside usage data, and translate complex findings into compelling narratives for our teams. Expect real projects, supportive teammates, and opportunities to shape Pinterest experiences that are impactful, inclusive, and meaningful for our Pinners. What you'll do: Influence and evolve our product roadmap to help us fulfill our mission - to bring everyone the inspiration to create a life they love - using data and exploratory analysis to understand user behavior and trends, and identify opportunities for product innovation. Use surveys to gather insights about Pinner, Merchant, Creator, or Advertiser sentiments and preferences using survey methodologies and statistical/modeling based approaches. Explore the intersection of user attitudes and behaviors by combining surveys and log analysis Work cross-functionally to build and communicate key insights. Collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest. What we're looking for: This position requires current enrollment in a school or education program in which the individual is working towards a PhD in statistics, psychology, sociology, applied sciences, computer science or related field Obtain PhD in statistics, psychology, sociology, applied sciences, computer science or related field by June 2027 Currently pursuing a PhD in statistics, psychology, sociology, applied sciences, computer science or related field. Experience with survey methodology, including experience developing surveys and analyzing survey data Demonstrated experience in descriptive, inferential, and multivariate statistics, and experimental design. Experience using Python, R, or SQL. Excellent communication skills and the ability to tell a complete narrative using data. Ability to connect data analysis to real business problems, in order to impact business performance. We offer 2 internship start dates: May 18, 2026 - August 7, 2026 June 15, 2026 - September 4, 2026 Relocation Statement: This position is remote and not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only The minimum and maximum salary for this position is $11,000 monthly. #LI-REMOTE #LI-FILS Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Genies is an avatar technology company powering the next era of interactive digital identity through AI companions. With the Avatar Framework and intuitive creation tools, Genies enables developers, talent, and creators to generate and deploy game-ready AI companions. The company's technology stack supports full customization, AI-generated fashion and props, and seamless integration of user-generated content (UGC). Backed by investors including Bob Iger, Silver Lake, BOND, and NEA, Genies' mission is to become the visual and interactive layer for the LLM-powered internet. About the Role: Genies is looking for a passionate Research Engineer Intern to join our core AI team at our Bay Area office in San Francisco, CA. You will solve fundamental technical challenges in creating socially-aware, autonomous, and creative AI characters and companions. Working closely with a dedicated team of engineers and researchers, you will bridge the gap between cutting-edge research and real-world product impact. What You'll Be Doing: Research, design, and implement state-of-the-art Generative AI models for speech generation, including Text-to-Speech (TTS) and Voice Clone. Investigate and apply novel architectures such as Flow Matching, or Autoregressive Transformers to improve audio fidelity and voice cloning capabilities. Develop techniques for disentangled representation learning to separate speaker identity from prosody and emotion, enabling highly controllable and expressive character voices. Optimize deep learning models for real-time inference, focusing on latency reduction and throughput improvement. What You Should Have: Currently pursuing a Master's or PhD degree in Computer Science, Machine Learning, Electrical Engineering, or a related quantitative field. Demonstrated experience with deep learning frameworks (e.g., PyTorch) and Python programming. Solid understanding of digital signal processing (DSP) fundamentals and audio synthesis concepts. Experience with at least one relevant area: Speech Synthesis, Voice Clone, or Generative Modeling. What We Prefer First-author publications in top-tier venues such as ICASSP, Interspeech, NeurIPS, ICML, or ICLR. Familiarity with model optimization techniques (quantization, distillation) and inference acceleration. Knowledge or experience integrating machine learning models into production environments. Previous internship or research experience in audio AI or related domains. How Genies will support you Genies is a well-funded, growing start-up that cares deeply about each of our employees' growth and success. Our roles and their responsibilities are created with a breadth of scope that introduces each employee to exciting new challenges and opportunities that a growing start-up encounters. The actual base pay is dependent upon a number of factors, including: professional background, training, transferable skills, work experience, education, location, business and product needs, and market demand. The base pay range is subject to change and may be modified in the future. Full-time employees may also be eligible for equity compensation, in addition to a robust health, wellness, and benefits package. Starting Salary Range: $45-$55 Here's why you'll love working at Genies: You'll work with a team that you'll be able to learn from and grow with, including support for your own professional development You'll be at the helm of your own career, shaping it with your own innovative contributions to a nascent team and product with flexible hours and a work from home policy You'll enjoy the culture and perks of a startup, with the stability of being well funded Comprehensive health insurance for you and your family (Anthem + Kaiser Options Available), Dental and Vision Insurance Competitive salaries and 401K program for all full time employees Flexible paid time off, sick time, and paid company holidays, in addition to paid parental leave, bereavement leave, and jury duty leave for full-time employees Health & wellness support through programs such as monthly wellness reimbursement Working in a brand new, bright, open-environment and fun office space - there's even a slide! Genies is an equal opportunity employer committed to promoting an inclusive work environment free of discrimination and harassment. We value diversity, inclusion, and aim to provide a sense of belonging for everyone.

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. During the research internship you 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. During the research internship you will be working on a well-defined research/data analysis project which allows you to collaborate with the research and data teams at IPinfo. The goal of the internship is to gather novel insights, gain new knowledge in data analysis, processing, and Internet measurements, and present your results within the group. During your internship at IPinfo you will be a full member of the research team. Towards the end of your internship you will be evaluating the results and assess possible publication venues (academic conferences, journals, published report,…). Check out ************************** to find example research projects at IPinfo. Skills and Experience Currently pursuing a PhD in computer science, data science, statistics, or a related field 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 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 Optionally 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) What we offer Summer 2026 internship between May and October 2026 (minimum duration: 3 months) Opportunity to make measurable impact and operate with autonomy 100% remote team and work environment Flexible working hours Paid internship Interesting and challenging work Application deadline The application deadline for the 2026 summer research internship is January 31, 2026. Earlier applications are preferred.

The Forensic Psychology Postdoctoral Fellowship at Eastern Louisiana Mental Health System is offered through the Forensic Neuropsychiatry division of the Tulane Department of Psychiatry and Behavioral Sciences. The goal of the fellowship is to enhance and broaden the fellow's forensic assessment skills. Under supervision, fellows will conduct forensic evaluations at an inpatient forensic hospital (Eastern Louisiana Mental Health System - ELMHS) and in private cases. Fellows will perform a wide variety of forensic mental health assessments with forensic patients, incarcerated individuals, as well as those in the community. A wide range of evaluations are requested at the ELMHS forensic state hospital and include: competency to stand trial (CST) evaluations, evaluations for malingering, psychodiagnostic clarification, intellectual and cognitive evaluations, and violence risk evaluations. Evaluees are justice-involved individuals who have been adjudicated not guilty by reason of insanity (NGRI) or deemed incompetent to stand trial by the court. Fellows will be responsible for selecting, administering, scoring, and interpreting psychological tests with the goal of writing high-quality integrated forensic reports. Additional forensic assessment opportunities are available through conducting private evaluations in person in the greater New Orleans area and as a remote evaluator. The scope of evaluation questions are broad and come from referrals from attorneys, courts, and medico-legal professionals. Typical forensic cases will encompass both criminal and civil areas, although the majority of referrals are for criminal evaluations. Referrals include competency to stand trial evaluations, violence risk assessments, mitigation/resentencing evaluations, and trauma and PTSD evaluations in both federal and state court. A large portion of case referrals are for criminal responsibility evaluations. Fellows will also have the opportunity to participate in administrative and clinical meetings, conduct forensic research, and when possible, supervise other trainees under the umbrella supervision of a licensed psychologist. Fellows will attend forensic training seminars and scheduled didactics, including landmark case seminars and expert witness seminars. The forensic fellow is responsible for leading the ACGME-required Forensic Journal Club/Research Seminar. Participation in the annual mock trial conducted jointly with the Tulane Law Clinic and the Tulane Forensic Psychiatry Fellowship is expected. Additionally, opportunities to observe a board-certified psychologist testify and receive supervision on report writing for court and discussion of expert witness skills is a frequent activity. REQUIRED EDUCATION AND EXPERIENCE: * Completion of a Psy.D. or Ph.D. in Clinical Psychology with a concentration in forensic psychology at an APA-accredited program by the start of the fellowship. * Completion of an APA-accredited internship with an emphasis on forensic psychology by the start of the fellowship. * Eligibility for state or provincial licensure or certification for the independent practice of psychology by the start of the fellowship. REQUIRED KNOWLEDGE, SKILLS, ABILITIES/COMPETENCIES TYPICALLY NEEDED TO PERFORM THIS JOB SUCCESSFULLY: 1. Ability to use and interpret forensic psychological assessment instruments and the ability to obtain relevant data through third-party data gathering and a comprehensive forensic interview. 2. Ability to integrate results and formulate interpretations consistent with data, relevant to the conclusions related to the legal question. 3. Excellent forensic report-writing skills, including the ability to write an accurate, comprehensive, and defensible integrated forensic report focused on the referral/psycholegal issue. 4. Experience in reviewing and summarizing case records. 5. Excellent time management, organizational, and self-management skills, including the ability to self-manage remote work. 6. Ability and willingness to travel/commute when required. 7. Excellent communication skills, flexibility, and the ability to work in high-stress situations. 8. Working knowledge of, and practice consistent with, the Specialty Guidelines for Forensic Psychologists and the APA's Ethical Principles and Code of Conduct for Psychologists. 9. Ability to initiate and manage forensic research projects and perform empirical literature searches. PREFERRED QUALIFICATIONS: 1. Strength in assessment, particularly knowledge and experience with administering and interpreting forensic assessment instruments. 2. Interest and ability to provide expert testimony in a clear, articulate manner, consistent with ethical and practice guidelines. 3. Eligibility for board certification in Forensic Psychology by the American Board of Professional Psychology (ABPP) at the conclusion of the fellowship. 4. Interest in conducting forensic research. Tulane University is an equal opportunity educator and employer committed to providing an education and employment environment free of unlawful discrimination, harassment, and retaliation. Legally protected demographic classifications (such as a person's race, color, religion, age, sex, national origin, shared ancestry, disability, genetics, veteran status, or any other characteristic protected by federal, state, or local laws) are not relied upon as an eligibility, selection or participation criteria for Tulane's employment or educational programs or activities. Tulane University is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process. If you need assistance in completing an application or during any phase of the interview process, please contact the Office of Human Resources by phone at ************ or by email at *************.

Ideogram's mission is to make world-class design accessible to everyone, multiplying human creativity. We build proprietary generative media models and AI native creative workflows, tackling unsolved challenges in graphic design. Our team includes builders with a track record of technology breakthroughs including early research in Diffusion Models, Google's Imagen, and Imagen Video. We care about design, taste, and craft as much as research and engineering - shipping experiences that creatives actually love. We've raised nearly $100M, led by Andreessen Horowitz and Index Ventures. Headquartered in Toronto with a growing team in NYC, we're scaling fast, aiming to triple over the next year. We're a flat team with a culture of high ownership, collaboration, and mentorship. Explore Ideogram 3.0, Canvas, and Character blog posts, and try Ideogram at ideogram.ai. The Opportunity As a Research Engineer / Research Scientist Intern (Summer 2026), you'll join the small team that built Ideogram's foundation models. You'll push the frontier of visual generative models and ship ideas that reach millions of creators. You'll work alongside researchers who trained our world-class text-to-image model and pushed the state of the art in image captioning, diffusion conditioning beyond text, and layout and typography. What We're Looking For * Currently pursuing a PhD or Master's in Computer Science, Machine Learning, Computer Vision, Graphics, Natural Language Processing, or a related field (exceptional undergraduates considered). * Deep learning fundamentals in generative models; familiarity with Transformers and diffusion models. * Ability to read research papers, translate ideas into high-quality code, and communicate results clearly to peers. * Strong Python skills and proficiency in a major DL framework (JAX preferred; PyTorch experience welcome with willingness to learn JAX). * Interest in the creative industry and image generation for design and passion for making research land in a real product. * Prior publications, impactful open-source contributions, or strong project write-ups demonstrating research experience. Our Culture We're a team of exceptionally talented, curious builders who love solving tough problems and turning bold ideas into reality. We move fast, collaborate deeply, and operate without unnecessary hierarchy, because we believe the best ideas can come from anyone. Everyone at Ideogram rolls up their sleeves to make our products and our customers successful. We thrive on curiosity, creativity, and shared ownership. We believe that small, dedicated teams working together with trust and purpose can move faster, think bigger, and create amazing things. Ideogram is committed to welcoming everyone - regardless of gender identity, orientation, or expression. Our mission is to create belonging and remove barriers so everyone can create boldly. What We Offer Competitive compensation and equity designed to recognize the value and impact of your contributions to Ideogram's success. 4 weeks of vacation to recharge and explore. Comprehensive health, vision, and dental coverage starting on day one. RRSP/401(k) with employer match up to 4% to invest in your future from the moment you join. Top-of-the-line tools and tech to fuel your creativity and productivity. Toronto HQ perks: Steps from Union Station and the PATH, with team lunches every Tuesday and dinners every Thursday. Autonomy to explore and experiment - whether you're testing new ideas, running large-scale experiments, or diving into research, you'll have access to compute/resources you need when there's a clear business or creative use case. We encourage curiosity and bold thinking. A culture of learning and growth, where curiosity is encouraged and mentorship is part of the journey. Fully remote flexibility across North America, with regular in-person team meetups and collaboration opportunities.

A Research Intern position is available Dr. James Welsh's laboratory in the Department of Thoracic Radiation Oncology. Trainees accepted in Radiation Oncology will learn about and participate in radiation oncology research under the mentorship of a radiation oncology faculty mentor. Research experience encompasses, but is not limited to, literature reviews, data reviews, chart reviews, data extraction, data mining, writing project methodologies, participating in the writing of scientific literature, data cleaning, data analysis, and presenting research and data findings. Students will also participate in radiation oncology-specific and institution-wide research programming through workshops and learning sessions. They will present their findings in the form of an elevator speech or scientific poster at various research symposia during their term in the program. All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations. *LEARNING OBJECTIVES* The Research Intern will be trained in the Welsh lab to help with day-to-day experiments revolving around combining immunotherapy agents with radiotherapy. In vitro experiments will include sterile tissue culturing and splitting of cancer cells, as well as flow cytometric analysis of immune cells. The in vivo experiments will include handling mice, measuring tumors, and delivering radiation. The Research Intern will also augment with data analysis and the preparation of scientific reports and manuscript drafts. *ELIGIBILITY REQUIREMENTS* Applicant must hold a bachelor's or master's degree Degree must have been obtained recently (within one year) Applicant must have previous research experience Applicants who hold a Ph.D. or equivalent doctoral degree (e.g., M.D., D.V.M., M.B.B.S.) are not eligible Applicants associated with a home institution do not qualify Applicants in a clinical position, postdoctoral fellowship, or faculty position do not qualify Research Interns cannot change titles to another trainee title upon completion Exception applies if the trainee enrolls in a degree-seeking program The appointee trains under the supervision of a faculty member/mentor *POSITION INFORMATION* Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements. This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. ************************************************************************************************

The Lowry Lab at Michigan State University is searching for a postdoctoral research associate to conduct molecular and physiological experiments to understand the causes of genetic variation in cold acclimation and freezing tolerance in the bioenergy crop switchgrass. This work builds on prior research by our group, which found that locally adapted switchgrass induces cold acclimation at higher temperatures and gains much greater freezing tolerance as a result of acclimation. The successful candidate will coordinate their efforts with our ongoing breeding program and transgenic research to improve cold tolerance in high-yielding southern germplasm. 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 -Biological Sciences Minimum Requirements PhD in a field of the Biological Sciences. Greater than five years of experience working with plants. Desired Qualifications Prior experience conducting cold acclimation and freezing tolerance experiments. Expertise in plant physiology and/or molecular plant biology. Required Application Materials cv 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 https://plantbiology.natsci.msu.edu/ 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.

Work at home position for job seekers from virtually any work background who are interested in part-time, side gigs, micro jobs, work from home jobs and remote telecommute jobs. We're looking for folks who want to earn weekly doing something strictly online and with maximum flexibility. This is a great way to earn extra money in your spare time by working at home! For more information apply to our job posting and then look for email to apply to our online site. * You must apply online additionally. Benefits Work when you want. Earn serious cash working part time or full time. Learn new skills that you can take anywhere. Ditch the commute & the high gas prices No degree required Supplement your existing job. No need to quit your current job, unless you really hate it. We provide training and tools to help you succeed in this industry Excellent gig for Stay at home moms, retired folks, disabled people and anyone looking to learn how to make income online. Much more... Remote work from home skills could include: Typing 25+ words per minute You enjoy data entry work and can perform the work from your home or location of choosing (remote work from home job) Computer with internet access It is crucial that you be self-motivated and able to follow explicit directions to begin working from home Self Motivated - you must be 100% able to commit to working with little supervision Work from home jobs of this nature require Internet and one of the following: Laptop or PC, MAC, or Smart Device - Android or IOS Ready to get started? Apply today and start earning as quick as today. Thanks for checking us out and we look forward to helping you achieve your goal of earning extra side income. As a reminder the folks who work with us come from a wide variety of backgrounds like customer service representative, administrative assistant, health care workers, human resources, warehouse workers, car delivery drivers, remote work from home professionals, and many more.

Who We Are Supra is pioneering the future of information services in global markets. As an exciting, ambitious, and well-funded startup with unique technical capabilities, we aim to be a future leader in decentralized data. Our team includes professionals, academics, and advisors with experience from leading institutions such as Purdue University, University of Cambridge, University of Pennsylvania, Columbia University, and University of Oxford. Additionally, our industry experience includes prestigious companies like JPMorgan Chase & Co., Qualcomm, ConsenSys, and Binance. Based in Switzerland with a remote-first policy, our globally distributed team spans over 35 countries. We are dedicated to solving the Oracle Dilemma through innovative solutions in consensus mechanisms, real-time data services, decentralized finance (DeFi), and Layer 1 (L1) technologies. Trust, kindness, honesty, and a commitment to ethical, decentralized technologies are the cornerstones of our culture. What we're looking for Achieving consistency in modern large-scale and fault-tolerant distributed systems often relies on intricate consensus protocols. Ensuring the reliability of implementations of such protocols remains a significant challenge because of the enormous number of exceptional conditions that may arise in production. Netrix is a tool and a methodology for testing such implementations that aims to exploit programmer's knowledge to improve coverage, enables robust bug reproduction, and can be used in regression testing across different versions of an implementation. This has been applied to Tendermint, a popular proof of stake blockchain protocol, Tendermint and to a popular benign consensus algorithm, Raft. It has been able to identify deviations of the implementation from the protocol specification and verify corrections on an updated implementation. The internship involves using the Netrix tool to test the chained Moonshot consensus protocol implementation, the protocol underlying Supra Oracle's block chain infrastructure. Based on performance, there is a high chance of being inducted into the highly talented team of Supra Engineers. Are you the right person for this role? The ideal candidate for us has: Essential: Final year undergraduate or above Formal methods background Desirable: Netrix Tool experience Internship Duration: At least four months based on mutual agreement What's In It For You Joining Supra means joining a fast-growing startup with a diverse and dynamic team. Every role is impactful, allowing you to engage in meaningful work that contributes to our success. You will enjoy the flexibility of a fully remote environment with adaptable working hours, enabling you to work from anywhere globally. Competitive Compensation: We offer competitive compensation packages aligned with market standards. Work-Life Balance: Eligible team members have access to flexible paid time off, sick leave, and other time-off options, adjusted in line with local regulations. National Holidays: We recognize national holidays specific to each team member's country and provide paid leave in accordance with local guidelines. Health Benefits: Comprehensive health coverage options, including medical, dental, and vision benefits, are available to full-time employees where applicable. Getting Started with Supra We believe in giving you the space to settle in. Your first month is about orientation and learning: Engage with your team to understand our business, vision, mission, and strategic goals. Enhance your skills to navigate the evolving DeFi landscape. Absorb our core values and establish connections with your colleagues through one-on-one meetings. Familiarize yourself with the tools and processes vital to our operations. Analyze our product offerings and contribute to discussions that shape our future. We're here to support your integration and ensure you have the resources you need! Looking Ahead Regular check-ins with your manager will help align your priorities with our team and company goals, setting you up for success. At Supra, you're not just joining a company but embarking on a journey to enhance blockchain technology with a team of exceptional individuals.

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday. Join Lambda as a Machine Learning Research Intern and help advance the frontiers of generative AI. You'll collaborate closely with world-class researchers and engineers, leveraging Lambda's compute to optimize model and system performance. Our interns work hands-on across two complementary tracks, Fundamental Research and Applied Research, depending on their interests and experience. What You'll Work On Foundation Models, Multi-Modal, Agents System benchmarking and performance optimization Track 1: Fundamental Research Research in foundation models for language, vision, life sciences and robotics. Multi-modal research, including building efficient data and evaluation toolkits. Publish findings in top-tier ML Research conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV/ECCV, ACL, SIGGRAPH), and/or as technical blogs, public datasets, benchmarks, and open-source tools. Track 2: Applied Research Maximize training and inference performance for large-scale AI systems. Systematic model and agent evaluation. Publish findings in top-tier ML system conferences (e.g. MLSys, OSDI, SOSP, NSDI), and/or as technical blogs, public dataset, benchmarks, and open-source tools. You BS, MS, or Ph.D. student in Computer Science or related field, focusing on Machine Learning. Demonstrated project experience or publications in relevant areas. Proficient in PyTorch or similar frameworks. Strong communication and collaboration skills. Nice to Have Contributions to open-source machine learning projects. Experience with foundation models, multi-modal, agentic systems. Experience with dataset creation, evaluation design, or system benchmarking. Experience optimizing model efficiency or scaling ML workloads. Visit Lambda's research page for more information about our work and opportunities: ******************************* Salary Range Information This is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, with 500+ employees, and growing fast Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Our values are publicly available: ************************* We offer generous cash & equity compensation Health, dental, and vision coverage for you and your dependents Wellness and commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible paid time off plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. * Note: This position requires presence in our San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday. Join Lambda as a Machine Learning Research Intern and help advance the frontiers of generative AI. You'll collaborate closely with world-class researchers and engineers, leveraging Lambda's compute to optimize model and system performance. Our interns work hands-on across two complementary tracks, Fundamental Research and Applied Research, depending on their interests and experience. What You'll Work On * Foundation Models, Multi-Modal, Agents * System benchmarking and performance optimization Track 1: Fundamental Research * Research in foundation models for language, vision, life sciences and robotics. * Multi-modal research, including building efficient data and evaluation toolkits. * Publish findings in top-tier ML Research conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV/ECCV, ACL, SIGGRAPH), and/or as technical blogs, public datasets, benchmarks, and open-source tools. Track 2: Applied Research * Maximize training and inference performance for large-scale AI systems. * Systematic model and agent evaluation. * Publish findings in top-tier ML system conferences (e.g. MLSys, OSDI, SOSP, NSDI), and/or as technical blogs, public dataset, benchmarks, and open-source tools. You * BS, MS, or Ph.D. student in Computer Science or related field, focusing on Machine Learning. * Demonstrated project experience or publications in relevant areas. * Proficient in PyTorch or similar frameworks. * Strong communication and collaboration skills. Nice to Have * Contributions to open-source machine learning projects. * Experience with foundation models, multi-modal, agentic systems. * Experience with dataset creation, evaluation design, or system benchmarking. * Experience optimizing model efficiency or scaling ML workloads. Visit Lambda's research page for more information about our work and opportunities: ******************************* Salary Range Information This is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda * Founded in 2012, with 500+ employees, and growing fast * Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove * We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG * Our values are publicly available: ************************* * We offer generous cash & equity compensation * Health, dental, and vision coverage for you and your dependents * Wellness and commuter stipends for select roles * 401k Plan with 2% company match (USA employees) * Flexible paid time off plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

About Stack: Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands. Intern Program: We are seeking the best and brightest interns that are eager to contribute to transformative AI solutions. As an early-stage start up, we expect our interns to be an integral part of the team while gaining collaboration opportunities with industry leaders to grow your career and research. We welcome students who are enrolled in university, pursuing a doctorate degree and are currently located in the United States. Our 2026 Summer internship will be at least 12 weeks in duration (note: we may have flexibility to continue into the fall semester). We offer competitive pay and support sponsorship. About The Team: Our Autonomy team brings together experts in artificial intelligence, perception, machine learning, decision-making, and controls to drive the most visible and high-impact initiatives behind our autonomous vehicle product. As an intern, you'll dive into cutting-edge research challenges and contribute to breakthroughs that directly shape the future of our technology. Potential internship research areas could be... Autolabeling 3D perception/tracking/SLAM Long range perception Automatic mapping Prediction Deep decision making Deep world building Minimum Qualifications: Currently enrolled in a PhD program in a relevant field (3+ years into program preferred) Strong programming skills in Python or C++ Experience with ML frameworks such as PyTorch Strong foundation in Computer Vision, Machine Learning, Simulation, Reinforcement Learning Ability to develop, train, and validate AI/CV/ML models Experience in SOTA deep learning techniques, e.g. multi-modal foundational models Experience working and communicating cross functionally in a team environment Preferred Qualifications: Track record of research excellence demonstrated by grants, fellowships, patents, or publications at top conferences such as CVPR, ICCV, ICRA, IROS, etc. Strong track-record of published research Strong programming experience using python and pytorch Prior software engineering or research experience in an internship, work experience, or widely used contributions in open source repositories (e.g. GitHub) We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity. Check out our Privacy Policy. Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV's ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate's residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate's residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate's application.

About the Opportunity Northeastern University in Boston, Massachusetts is seeking to hire a postdoctoral research associate with strong research interests and competency in investigating the social determinants of health with a focus on cognitive decline/dementia and an emphasis on the application of epidemiologic, econometric, and other methods to strengthen causal inference using multilevel, longitudinal data and quasi-experimental approaches, along with the exploration of gender, racial/ethnic and socioeconomic disparities. Qualifications: Applicants should have a doctoral degree in epidemiology, social and behavioral sciences, public health, health economics, or a related field, as well as strong communication and writing skills. Experience in advanced epidemiologic methods and/or econometric methods to strengthen causal inference is strongly preferred. The initial appointment is for a one-year period, with the possibility for renewal. The postdoctoral research associate will join an interdisciplinary team of researchers (including social epidemiologists, other epidemiologists and data scientists, and policy researchers) and will be involved in all aspects of the research process. Opportunities will include analyzing rich datasets for publications, developing and writing research proposals and publications, participating in academic mentorship of graduate students, dissemination of research findings at professional conferences, and career development resources through Northeastern University and the Greater Boston area. Opportunities may also exist for the research associate to coordinate one or more ongoing research projects and initiate independent research projects. In addition, the postdoctoral research associate will participate in project team meetings and other seminars and will be actively engaged in the progress of research. * This position is a fully remote opportunity and there will be no requirement of an on campus presence. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit ************************************* for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. Compensation Grade/Pay Type: 108S Expected Hiring Range: $59,425.00 - $83,935.00 With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

Duration: Paid Internship from May - August 2026. Housing: Furnished housing or stipend provided. What to expect: Valuable experience related to the agriculture industry, professional development, summer project, etc. Purpose and Scope Interns will be involved in several Research Learning Modules throughout the internship, including planting, data collection and thinning, plot identification, and production. Each experience will provide education and work experience in a different facet of research. Responsibilities Planting Module Interns may learn how to setup and plant various types of research studies at the PFR farm site. This will include organizing seed, planting, cleaning out meter units, and flagging or staking plots as they are planted. Data Collection and Thinning Module Interns will learn how to collect, report, and analyze stand count data, as well as thin plots to desired populations. Stand counts will be taken to compare fungicide treatments/insecticide treatments and many additional agronomic variables. Plot Identification Module Interns will learn how test plots are designed and mapped as well as the proper identification of varieties and technologies by numbering and installing signs and stakes on plots. Production Module Interns will learn various aspects of production agriculture through agronomic support of Beck's Hybrids sales staff in the marketing area. Opportunities will be available to ride along with the PFR Location Lead on customer calls to evaluate product performance. This provides an excellent opportunity to learn how to diagnose agronomic issues and how to evaluate hybrid performance in real world production agriculture. Job Requirements Education and training: Undergraduate course work in agricultural related field. Must possess and maintain a valid driver's license and insurable driving record as determined by Beck's automobile insurance policy. This is a safety-sensitive position. Technical knowledge: Chauffer license or equivalent may be required. Experience: Farm background and general farm knowledge helpful. Other Start work in early May and work through early August. ** In an effort to provide a safer, drug-free workplace for employees, all full-time applicants to whom offers of employment are made must submit to a drug test and background check, subject to applicable local, state, or federal laws or regulations. Employment at Beck's is contingent upon passing these pre-employment screenings.

Career CategoryCollege JobJob 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. Global Regulatory Policy - Grad Research Intern What You Will Do Let's do this. Let's change the world. During this program, you will serve as a Global Regulatory Policy Graduate Researcher and you will contribute to the development and execution of Amgen's positions on regulatory policies of global and regional importance that impact Amgen's business. In this role you will support policy leads in the U.S., EU, and JAPAC. You will investigate policy research questions and conduct analyses, contribute to internal cross-functional teams, coordinate tasks with team members and across organizations, and support external engagement. Investigate policy research questions on key policy topics and determine the implications of emerging regulatory developments. Analyze regulatory guidances and other regulatory policy documents to inform policy strategies and positions. Support the development of Amgen regulatory policy positions and strategies. Prepare presentations and other communications to support alignment on positions and strategies across the Amgen organizations and regions. Support external engagement with industry partners and regulators. Partner with policy leads to develop whitepapers, policy analysis documents, and advocacy materials on priority policy issues. Plan and help manage projects for agreed upon policy objectives under the direction of in partnership with policy lead(s). What We Expect of You We are all different, yet we all use our unique contributions to serve patients. The individual we seek is analytical and can work collaboratively within Teams and across functional boundaries with these qualifications: Basic Qualifications: Amgen requires that all individuals applying for a grad internship at Amgen must meet the following criteria: 18 years or older Graduated with a bachelor's degree from an accredited college or university Currently enrolled in an MBA program for an MBA internship OR a Master's program for a Master's internship OR a PharmD program for a PharmD internship OR Ph.D. for a PhD internship from an accredited college or university and completion of the first year of MBA OR Master's OR Pharm D OR Ph.D. program before the internship starts Enrolled in an accredited college or university following the potential internship Must not be employed at the time the internship starts Student must be located in the United States for the duration of the Intern Preferred Qualifications: Master's degree in regulatory affairs or life sciences. Strong interpersonal, problem solving, and conflict resolution skills. Demonstrated ability to work well with people at all levels of an organization in demanding situations with a positive attitude, tact, diplomacy, and respect. Demonstrated ability to work in a fast-paced environment while retaining a high attention to detail and quality. Excellent organizational, process and project management skills. Strong computer skills including experience with MS Office, Smartsheet, and SharePoint. The use of ChatGPT and Co-pilot to support research preferred. What You Can Expect of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. The base pay range for this opportunity in the U.S. is $30-$40 per hour Build a network of colleagues that will endure and grow throughout your time with us and beyond. Bring your authentic self to the table and become the professional you're inspired to be through accepting a culture that values the diversity of thought and experience and will flex to your strengths and possibilities. Participate in executive and social networking events, as well as community volunteer projects. Apply now and make a lasting impact with the Amgen team. careers.amgen.com - Please search for Keyword R-232410 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. Sponsorship Candidates must be authorized to work in the U.S. for the duration of this program. Sponsorship for future FTE roles is not guaranteed. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. . Salary Range -

Details Information Department EXT Fam/CommHlth OnCmps (HHS) Position Title Academic Wage Appt - Hourly Job Title Academic Wage-Hourly: Faculty Research Assistant: Bilingual Appointment Type Academic Wage Job Location Corvallis Benefits Eligible Not benefits eligible Remote or Hybrid option? Yes Job Summary The Division of Extension and Engagement's Family and Community Health Program is seeking an hourly Academic Wage: Faculty Research Assistant (Bilingual). This is a part-time (0.45 FTE), 12-month, fixed-term position. This position is anticipated to last approximately 10 months or until the end of the grant period. This Faculty Research Assistant (FRA) position is a member of the statewide team of the Oregon State University (OSU) Division of Extension and Engagement's (division) Extension Family and Community Health (FCH) program affiliated with the College of Health (COH). This position will be located on the Corvallis Campus at Oregon State University and housed within the Hallie E. Ford Center for Healthy Children and Families, and may work remotely with an approved Flexible Work Arrangement Agreement. The individual in this position must be bilingual (Spanish and English). This Faculty Research Assistant will provide support to the Oregon Child Care Research Partnership in completing a federally-funded grant project and required activities in partnership with the Oregon Department of Education's Early Learning Division. This project is scheduled to end in fall 2026. The FRA will support a grant project awarded by the Office of Planning Research and Evaluation (OPRE) in the Administration for Children and Families (ACF). Working with the Oregon Child Care Partnership Team, the Research Assistant will work with the project PIs to coordinate and conduct research and evaluation activities that are relevant to, and in partnership with, local and state community partners. This position serves broad and diverse populations in an accessible, inclusive, equitable, and socially just manner. This includes complying with civil rights and language/visual access regulations. About Extension Family and Community Health Program: FCH and the College of Health align toward a common vision of lifelong health and well-being for individuals, families and communities in Oregon. To learn more about FCH and our programs, please visit: ********************************************* About the Oregon Child Care Research Partnership: The Oregon Child Care Research Partnership conducts research related to childcare policy at the local and state levels. The Partnership also works on national-level research through participation in the Administration for Children and Families' Child Care Policy Research Consortium, a collaboration of childcare policy researchers who work together to build the body of knowledge about childcare at the state and national levels. About the division: The Division of Extension and Engagement (division) is core to Oregon State University's mission. The Division helps create real solutions and positive impact across Oregon and beyond. The division is aligned under the leadership of the Vice Provost for Extension and Engagement. To learn more about our division and its core units and initiatives, please visit: ************************************ Oregon State University strives to ensure that all educational programs, services, activities, and materials we offer to the public are identified, developed, delivered, and evaluated in an accessible, inclusive, equitable, and socially just manner. OSU division's educational programs, services, activities, and materials are available to all people. OSU division prohibits discrimination in all its programs, services, activities, and materials. All employees are responsible for and expected to comply with Civil Rights obligations and actively work to expand access to all eligible populations. Why OSU? Working for Oregon State University is so much more than a job! Oregon State University is a dynamic community of dreamers, doers, problem-solvers and change-makers. We don't wait for challenges to present themselves - we seek them out and take them on. We welcome students, faculty and staff from every background and perspective into a community where everyone feels seen and heard. We have deep-rooted mindfulness for the natural world and all who depend on it, and together, we apply knowledge, tools and skills to build a better future for all. FACTS: * Top 1.4% university in the world * More research funding than all public universities in Oregon combined * 1 of 3 land, sea, space and sun grant universities in the U.S. * 2 campuses, 11 colleges, 12 experiment stations, and Extension programs in all 36 counties * 7 cultural resource centers that offer education, celebration and belonging for everyone * 100+ undergraduate degree programs, 80+ graduate degrees plus hundreds of minor options and certificates * 35k+ students including more than 2.3k international students and 10k students of color * 217k+ alumni worldwide * For more interesting facts about OSU visit: ***************************** Locations: Oregon State has a statewide presence with campuses in Corvallis and Bend, the OSU Portland Center and the Hatfield Marine Science Center on the Pacific Coast in Newport. Oregon State's beautiful, historic and state-of-the-art main campus is located in one of America's best college towns. Corvallis is located close to the Pacific Ocean, the Cascade mountains and Oregon wine country. Nestled in the heart of the Willamette Valley, this beautiful city offers miles of mountain biking and hiking trails, a river perfect for boating or kayaking and an eclectic downtown featuring local cuisine, popular events and performances. Total Rewards Package: Oregon State University offers a comprehensive benefits package with benefits eligible positions that is designed to meet the needs of employees and their families including: * Medical, Dental, Vision and Basic Life. OSU pays 95% of premiums for you and your eligible dependents. * Free confidential mental health and emotional support services, and counseling resources. * Retirement savings paid by the university. * A generous paid leave package, including holidays, vacation and sick leave. * Tuition reduction benefits for you or your qualifying dependents at OSU or the additional six Oregon Public Universities. * Robust Work Life programs including Dual Career assistance resources, flexible work arrangements, a Family Resource Center, Affinity Groups and an Employee Assistance Program. * Optional lifestyle benefits such as pet, accident, and critical illness insurance, giving you peace of mind and the support you need to thrive in all aspects of your life. Oregon State University is deeply committed to the principles of a Health Promoting University. This commitment drives a collaborative approach across OSU's safety and well-being programs, reducing silos and coordinating efforts to enhance employee safety and well-being. By prioritizing resources that support the health of both employees and students, OSU fosters a culture of care and a healthier campus environment where everyone can thrive. Future and current OSU employees can use the Benefits Calculator to learn more about the full value of the benefits provided at OSU. Key Responsibilities 85% Data collection, Management and Analysis Coordinate and conduct research and scholarship related to grant. These activities may include: * Work with project team to plan and implement data collection (e.g., focus groups, interviews, surveys), management, and analysis on designated activities. * Support project management, including scheduling, participant recruitment, and communication with partners and stakeholders * Lead translation of program materials and data (this requires fluency in Spanish verbal and written communication) * Assist with data management, including data cleaning, transcription, coding, organizing of data and metadata. * Work with team to conduct qualitative analyses and interpret findings * Compile data analysis information and results into meaningful formats to ensure content is appropriately represented. Draw conclusions and determine key findings with faculty leads. 10% Project Coordination * Maintain data analysis information in organized and accessible work files and folders system. * Communicate with project partners to facilitate meeting project activity goals 5% Communications and Report * Prepare written analytic results into format for presentation to diverse audiences including academics, policymakers, and practitioners, as requested. Listed as co-author on relevant publications. * Generate visualizations of data and results. What You Will Need * Bachelor's degree in Human Development, Family Sciences, Education, Psychology, Sociology or related discipline. * Experience engaging with families with young children and/or in child care settings. * Bilingual: Spanish and English (fluent in verbal and written communication) * Experience with culturally responsive data collection and analysis methods * A commitment to collaborative and respectful learning and working environments that are safe, inclusive, and welcoming. This position is designated as a critical or security-sensitive position; therefore, the incumbent must successfully complete a criminal history check and be determined to be position qualified as per University Standard: 05-010 et seq. Incumbents are required to self-report convictions and those in Youth Programs may have additional Criminal History Checks every 24 months. What We Would Like You to Have Experience with local, state, and/or federal government policy makers around family and child issues, including but not limited to child care. Working Conditions / Work Schedule Flexible work schedule with regular check-in meetings with project partners. The primary work location for this position is the OSU Extension Family & Community Health Program office on OSU's campus in Corvallis, Oregon. However, flexible work may be established via OSU's Flexible Work Arrangement Agreement Form, with pre-determined periodic reviews of on-going work for continuation of the agreement. Pay Method Hourly Pay Period 16th - 15th of the following month Pay Date Last working day of the month Recommended Full-Time Salary Range Salary is commensurate with education, training, and experience. Link to Position Description ********************************************************* Posting Detail Information Posting Number P09573UF Number of Vacancies 1 Anticipated Appointment Begin Date 12/08/2025 Anticipated Appointment End Date 09/30/2026 Posting Date 11/25/2025 Full Consideration Date Closing Date 12/15/2025 Indicate how you intend to recruit for this search Competitive / External - open to ALL qualified applicants Special Instructions to Applicants This posting has be extended in order to expand the original applicant pool. When applying you will be required to attach the following electronic documents: 1) A Curriculum Vitae; and 2) A cover letter indicating how your qualifications and experience have prepared you for this position. You will also be required to submit the names of at least three professional references, their e-mail addresses and telephone numbers as part of the application process. For additional information please contact: Megan Pratt *************************** We are an Equal Opportunity Employer, including disability, protected veteran, and other protected status. OSU will conduct a review of the National Sex Offender Public website prior to hire. OSU is a fair chance employer committed to inclusive hiring. We encourage applications from candidates who bring a wide range of lived experience including involvement with the justice system. This job has "critical or security-sensitive" responsibilities. If you are selected as a finalist, your initial job offer will be contingent upon the results of a job-related pre-employment check (such as a background check, motor vehicle history check, sexual misconduct reference check, etc.). Background check results do not automatically disqualify a candidate. Take a look at our Background Checks website including the for candidates section for more details. If you have questions or concerns about the pre-employment check, please contact OSU's Employee and Labor Relations team at **********************************. Supplemental Questions