Graduate research assistant jobs in Schenectady, NY - 274 jobs

As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business's mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy. Explore the possibilities of a research career in a Spring or Summer 2026 internship at GE Vernova Advanced Research. Edison Research Interns are the pipeline for the GE Vernova Advanced Research Edison Program. The Edison Program is an intensive development role for those with a passion for research, a drive for technical excellence, and a shared appreciation for our GE Vernova Way to drive innovation, serve our customers, embrace LEAN, win as one team, and be accountable to deliver. Job Description Job Summary: An Internship with us will provide valuable hands-on experience to help you launch your career in industrial research. Our team brings together world-class experts in the following disciplines: * Mechanical Systems & Design * AI, Software & Robotics * Controls & Optimization * Embedded & OT Security * Aero & Thermosciences * Material Chemistry & Physics * Electronics & Electrical Systems * Materials, Coatings & Modeling * Chemistry As an Edison Research Intern, you will: * Apply your academic knowledge and experience to real-life technical problems. * Develop your research skills in a collaborative workplace. * Participate in professional development & networking opportunities that enhance your functional and communication skills. Qualifications/Requirements: * Current or upcoming enrollment in a full-time Masters Degree program in Mechanical Engineering, Materials Science/Engineering, Electrical Engineering, Chemical Engineering, Computer Science, Chemistry or related STEM discipline. * A passion for research and development, critical thinking, scientific reasoning, data analytics and interpretation and teamwork. * Applicants must be currently authorized to work in the United States without the need for employer sponsorship. This role is not eligible for employer immigration sponsorship, now or in the future. * Must be willing to work out of an office located in Niskayuna, NY. Desired Characteristics: * Exceptional academic performance with demonstrated research experience. * Prior internship or co-op experience in an industrial research environment * Humble: respectful, inclusive, curious/inquisitive * Transparent: clear communicator, collaborator, creative problem solver * Focused: sets strategic priorities, uses scientific reasoning, data analytics to make decisions, critical thinker * Demonstrated initiative and commitment to community/university involvement The pay range for this position is $1,000-$2,000 USD weekly. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. This position will be posted until at least 7/22/2025. General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a "Sponsor"). Each Sponsor reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor's welfare benefit plan or program. This document does not create a contract of employment with any individual. Additional Information GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: No For candidates applying to a U.S. based position only: This posting is expected to remain open for at least seven days after it was posted on January 05, 2026. U.S. Internship roles are ineligible for GE Vernova benefits.

Reality Labs at Meta is seeking Research Scientists with experience in product-focused machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We're building a practical interface drawing on the rich neuromotor signals that can be measured non-invasively via surface electromyography (EMG) with single motor neuron resolution. This technology could become one of the main pillars for interaction with virtual and augmented worlds.We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals, developing novel signal processing and machine learning methods to infer a user's intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action. **Required Skills:** Research Scientist - CTRL Labs Responsibilities: 1. Research and develop Deep Learning or other computational models 2. Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets 3. Set technical direction for a project of 2-3 researchers and engineers 4. Help transition and deliver our work from research into product 5. Adapt standard machine learning methods to best leverage modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Ph.D. degree in Computer Science and Engineering, Electrical Engineering, Statistics/Mathematics 8. Experience with developing machine learning models at scale from inception to business impact 9. Programming experience in Python and hands-on experience with frameworks such as PyTorch 10. Exposure to architectural patterns of large scale software applications 11. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 12. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP) 13. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) 14. Experience bringing machine learning-based products from research to production **Public Compensation:** $184,000/year to $257,000/year + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

**Introduction** IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you'll join a team who invent what's next in computing, always choosing the big, urgent and mind-bending work that endures and shapes generations. Our passion for discovery, and excitement for defining the future of tech, is what builds our strong culture around solving problems for clients and seeing the real world impact that you can make. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. **Your role and responsibilities** In this role, you will join a world-class team of engineers and researchers and contribute to the development of innovative integrated circuits implemented in deep submicron CMOS (Complementary Metal-Oxide-Semiconductor) technologies. We focus on innovative circuit designs for a range of emering applications such as AI accelaration, high-speed communications, and chiplet-based integration approaches, among others. Specific responsibilities include: * Collaborate on architecture/system-level development. This will involve the analysis of trade-offs using system simulations and/or software and may also involve the analysis of measured data from existing/prior ICs * Peform design and/or synthesis of digital and/or mixed-signal circuit building blocks to meet a set of specfications * Perform co-simulation and verification of the designed circuits and sub-systems * Support physical design/synthesis and post-layout verification * Document design concept, simulation, and verification results **Required technical and professional expertise** * Have experience with relevant industry-standard IC-development tools such as Cadence * Have experience with design using deep sub-micron CMOS technologies * Possess a track record of success in completing complex mixed-signal and/or digital IC designs * Successfully create and communicate technical ideas **Preferred technical and professional experience** * Knowledge of AI-accelertor architectures * Knowledge of chiplet-based system implementation approaches and their assosciated communication interfaces * Applied knowledge of standard-cell digital design, custom digital design, and/or mixed-signal design for high-speed communications * Knowledge of common programming languages such as Python * Experience with hardware-software co-design IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

As a Mechanical Systems Fellow Intern in the Mechanical Components and Systems Lab, you will have a role in advancing the technology readiness level of mechanical solutions that enable the future of flight: sustainable, high speed, and next generation propulsion. You will participate in the design, analysis, and/or assembly of test rigs, test equipment, and test articles that push the state of the art of bearings, gear systems, rotor/stator seals, and rotordynamics. At GE Aerospace Research, scientists, engineers, and technicians innovate for the future of flight. An internship with us will provide valuable hands-on experience to help you launch your career in industrial research. Intern assignments are typically for 12-14 weeks; working side by side with experts in the field of mechanical engineering, completing challenging technical projects and applying theoretical knowledge to real-life technical problems. This program includes seminars on cross-center technology and soft skills development as well as opportunities for networking and showcasing project accomplishments. **Required Qualifications** + Current enrollment in a full-time Ph.D. degree program in Mechanical Engineering or related disciplines at an ABET accredited university + Permanent legal authorization to work in the US is required. This role is restricted to U.S. persons. GE will require proof of status prior to employment. + Willing to work at the GE Aerospace Research site in Niskayuna, NY + Minimum GPA 3.0 / 4.0 scale **Desired Characteristics** + Experience with the mechanical design of rotating machinery components and/or systems + Experience working on multidisciplinary teams to mature mechanical system technologies through conceptual design, detailed analysis, and/or test execution + Experience with product design constraints, manufacturing techniques, and material processing selections for rotating machinery + Proficiency using 3D solid modeling software (e.g., NX, SOLIDWORKS, Creo) + Analytical experience, including structural/thermal finite element analysis with ANSYS + Excellent academic performance with technical research orientation + Ability to adapt to change and willingness to be flexible in a global team environment + Strong interpersonal skills, initiative and organization; demonstrated ability working with a team + Strong problem solving skills, thorough attention to detail The pay range for this position is $1,000-$2,000 USD weekly. The specific weekly rate offered to a candidate may be influenced by a variety of factors including the candidate's experience, their education, and the work location. GE provides travel reimbursement and housing stipend for qualified interns. GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer (****************************************************************************************** . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). **Relocation Assistance Provided:** Yes GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Who we are Why Rensselaer? Join Rensselaer Polytechnic Institute's dynamic global community of changemaker including some of the world's leading researchers, students, alumni, and faculty who ask the important questions and devise the scientific and technological innovations that make the world a better place for all of humanity. Nestled on a beautiful 275-acre campus in upstate NY, Rensselaer is home to five schools, 32 research centers, three makerspaces, an observatory, one of the world's fastest supercomputers, and IBM's Quantum System One - the first university-based quantum computer in the world. Over the past decade, the research portfolio at Rensselaer has been completely transformed. As a top-tier technological research university, Rensselaer has invested in strategic partnerships, talented researchers, and sophisticated research platforms to address the most pressing global challenges of the 21st century. Today, the Rensselaer research enterprise comprises $104 million in annual research expenditures, supports a diverse range of research centers and platforms, and ensures the advancement of interdisciplinary research in six key areas: Life Science & Biotechnology (Bioscience, Bio Manufacturing, Diagnosis) Future Computing (Data / AI, High Performance Computing, Quantum, Bits/Neurons/Qubits) Energy, Environment, and Sustainability (Energy Solutions, Built Environment, Freshwater, Sustainability) Materials & Manufacturing (Mat. Discovery, Mat. Processing, Advanced Manufacturing, Robotics) Microelectronics (Mat. & Metrology, Hardware Co-design, Computational Microelectronics, Hetero-integration) Fundamental Knowledge (AstroX, Origins, Cognitive & Social, Financial) RPI is a leader in the field of life sciences and biotechnology, offering a dynamic environment for research and innovation. The Shirley Ann Jackson, Ph.D. Center for Biotechnology and Interdisciplinary Studies (CBIS) is a key component, focusing on fundamental and translational research to address global health challenges. RPI's Biological Sciences department provides a comprehensive curriculum that prepares students for various career paths in research, medicine, and industry. The institute's commitment to interdisciplinary research and innovative education positions it as a significant player in the biotechnology sector. The Office for Research collaborates with important external partners in the federal and state government, foundations and in industry to expand the impact our work and to support our world-class researchers as they improve lives, advance society, and change the world. The mission of the Office for Research is to drive and support the Research Enterprise, increase Rensselaer impact and visibility, and communicate to the national and international community that Rensselaer researchers are defining the frontiers of discovery and innovation. Rensselaer faculty and alumni include more than 145 National Academy members, six members of the National Inventors Hall of Fame, six National Medal of Technology winners, five National Medal of Science winners, # astronauts, and a Nobel Prize winner in Physics. With nearly 200 years of experience advancing scientific and technological knowledge, Rensselaer remains focused on addressing global challenges with a spirit of ingenuity and collaboration. To learn more, please visit ************ Are you ready to change the world? Apply now! Job Summary Some of the areas that may be hiring researchers and research support positions in the area of Loife Sciences & Biotechnology include: ************************ *********************** ********************* ***************************************************************************************** Bioscience Bio Manufacturing Diagnosis Note: The availability of positions is dependent on the availability of sponsored funding. Not all areas will have all positions, and some areas may be fully staffed. Qualifications Postdoctoral Research Associate - Candidates must have finished all requirements for their PhD or foreign equivalent at the beginning of their appointment Research Associate or (Sr.) Research Scientist - Opportunities exist for those with a relevant advanced degree, publication record, and/or significant additional years of paid professional experience in a related position. Individuals who possess these qualifications and who have the potential to, or a demonstrated track record of being able to build collaborative external partnerships are especially desirable (Sr.) Research Specialist - Positions require a relevant bachelor's degree / foreign equivalent or higher (Sr.) Research Engineer - Research Assistant - candidates must possess an associate's degree / foreign equivalent or relevant combination of experience, education and training Pay transparency data: Pay transparency disclosure: The actual salary/wage that is provided to selected candidates will be determined based on factors that include the available budget, internal equity, and the needs of the department, and the final candidate's qualifications, experience, education, and other job-related credentials. The following hiring ranges are provided as Rensselaer's good faith estimate of the expected hiring range at the time of posting. Postdoctoral Research Associate: $62,354 - $65,000 / yr Research Associate: $64,000 - $66,000 / yr Research Scientist: $66,000 - $95,000 / yr Sr. Research Scientist: $80,000 - $138,000 / yr NOTE: Postdoctoral Research Associate based in NYC at CEPM : $62,354 - $65,000 / yr + 20% NYC pay differential Postdoctoral Research Associate based in NYC at CEPM (619 W 54th St., NY, NY, 10019). Candidates should be comfortable traveling to the RPI Troy campus and within the continental US as needed, based on engaging team projects and evolving business priorities. *** Research Specialist: $18.00 - $26.44 / hr Sr. Research Specialist: $62,354 - 66,000 / yr *** Research Engineer: $66,000 - $86,000 / yr Sr. Research Engineer: $87,000 - $95,000 / yr *** Research Assistant: $16.00 - $22.00 / hr Application instructions Follow the on-screen prompts to create an application. Please be ready to upload any required documents, such as your resume and cover letter If you need assistance with the online application process, please contact *************** Job Posted Date Applications will be accepted until the position is filled. Total Compensation and Benefits Information Rensselaer's Total Compensation Program is designed to provide stable pay growth, a comprehensive and affordable benefits package, and a comprehensive and affordable retiree medical and prescription plan. Rensselaer is recognized locally and nationally for the depth and breadth of its compensation and benefits program. Our goal is to provide you and your family with a comprehensive health and welfare program as an umbrella of financial security and protection during your employment. For more information, please visit Benefits | Human Resources (rpi.edu). Rensselaer Polytechnic Institute is committed to the cultivation of a community that is welcoming, inclusive, and above all values learning. We welcome candidates who bring a variety of perspectives to Rensselaer Polytechnic Institute's work and campus communities. Rensselaer Polytechnic Institute is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, protected veteran status, or other characteristic protected by law.

ANNOUNCEMENT Research Scientist III Salary Grade 25: $88,938 - $101,067 The Research Foundation for Mental Hygiene, Inc. is seeking a qualified candidate to fill the full-time position of Research Scientist III in the New York State Office of Addiction Services and Supports (OASAS), Division of Planning, Research, Information Management, and Evaluation (PRIME) in response to the continuing overdose crisis. OASAS is calling for new approaches that embrace person-centered care, evidence-based practices, equitable treatment, and harm reduction principles. OASAS envisions a revised treatment system that better retains clients in treatment, mitigates adverse healthcare events, and reduces deaths. To this end, OASAS is embarking on a new collaboration with New York University (NYU) on a National Institutes of Health (NIH) grant to support the transformation of the data architecture and reporting across the OASAS system of care. This Research Scientist III will be responsible for working closely with PRIME leadership in employing data science approaches, techniques, and methods to develop substance use and use disorder measures that reflect agency wide needs in reporting and evaluation. A successful candidate thrives in a highly collaborative, diverse cross-team work environment; has experience in data systems management and process improvement; demonstrates adaptability with the capacity to handle multiple demands and changes in a dynamic fast-paced environment; and has strong organizational, writing, and oral communication skills. Responsibilities include but are not limited to: Lead a research team within the OASAS Division of Planning, Research, Information Management, and Evaluation (PRIME) and collaborate with the New York University (NYU) research team. Collaborate with PRIME leadership, responsible for institutional clinical research priorities, goals and key performance indicators. Utilize advanced research methods, identify gaps between recommended performance measures and existing data collection methods. Develop and implement innovative solutions to bridge these gaps and ensure robust data collection for research and evaluation purposes. Oversee independently the preparation documents related to research activities, including study protocols, progress reports, and briefs to OASAS staff on data system development milestones. Interface with cross-agency staff to define objectives and identify best practices. Facilitate relationships with providers, community representatives, and other stakeholders contributing to data collection and database management. Perform other related duties & responsibilities as assigned/requested. Minimum Qualifications: A Bachelor's degree from an accredited college or university in a relevant social science and four years research, evaluation, or data management experience; OR A Master's degree or J.D. from an accredited college or university in a relevant social science and a minimum of three years of research, evaluation, or data management experience; OR A Ph.D. from an accredited college or university in a relevant social science and a minimum of two years of research, evaluation, or data management experience. Two years of experience in organizing, managing, and analyzing quantitative data using descriptive statistics evidenced One year of experience of supervising Preferred Qualifications: Demonstrate experience conducting program evaluations from start to finish is required, including samples of final products/reports. Expertise in the use of SAS, R or SQL. Experience working in culturally diverse communities is an asset. Experience in substance use epidemiology and substance use disorder treatment modalities is an asset. Expertise in the use of Microsoft Excel, Word, and Power Point. Able to calculate, interpret and communicate statistics from data systems and provide findings in a variety of formats to both technical and general audiences. Able to understand, interpret, and critique empirical findings. Able to learn more advanced data skills independently and as needed for data projects. Location: 1450 Western Avenue, Albany, NY 12203 To Apply: Submit an application through our website at *********************************** . Please note only applications submitted through our website will be considered. The Mission of the Research Foundation for Mental Hygiene, Inc. (RFMH) is to promote the mental health of all New Yorkers, with a focus on providing hope and supporting recovery for adults with serious mental illness and children with serious emotional disturbances. Applicants with lived mental health experience are encouraged to apply. RFMH is deeply committed to supporting underserved individuals, organizations, and communities. To this end, RFMH is focused on implementing activities and initiatives to reduce disparities in access, quality, and treatment outcomes for underserved populations. A critical component of these efforts is ensuring that RFMH is a diverse and inclusive workplace where all employees' unique attributes and skills are valued and utilized to support the mission of the Agency. RFMH is an equal opportunity/affirmative action employer. The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. Excellent Benefits Package. Affirmative Action/Equal Opportunity Employer - Disabled/Veteran, 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a) compliant.

Spotify is looking for enthusiastic students/recent graduates with a passion for creativity and an ambition to go far. This isn't just any internship! Our paid internship program will give you the chance to gain in-depth knowledge of what it's like to be a Spotify employee as well as get the opportunity to see the technology side of a fast growing company! Our summer internships will last for approximately 10 or 12 weeks this summer and start in the middle of June. We are looking for Research Scientist interns in the fields of artificial intelligence, machine learning, economics, foundational modeling, and LLMs. Our teams are based in the US (East coast) and Europe working on a diverse range of research topics and applied problems. We use a variety of approaches and methods to answer research questions related to how people interact and engage with Spotify. We work on a broad range of Spotify features - personalized playlists like iDJ & Discover Weekly, Search and Recommendations, and foundational AI systems powering recommendations of music, podcasts, and audiobooks to more than 600 million users with billions of interactions.What You'll Do Be part of an interdisciplinary team focused on making every user interaction with Spotify amazing through personalization and discovery, and in the process pushing innovation and contributing to the wider research community by publishing papers. Apply your scientific knowledge to application-oriented problems in artificial intelligence, economics, machine learning, search and recommendation, speech processing, and natural language processing, combining insights from your expertise with those of our diverse team of research scientists. Be a valued member of an autonomous, multi-functional team working in collaboration with other scientists, engineers, product managers, designers, user researchers, and analysts across Spotify to design creative solutions to challenging problems. Help to develop thoughtful, efficient, and intuitive new ways to search, explore and discover music, podcasts, and audiobooks. Who You Are You are pursuing a PhD in Computer Science, Information Science, Economics, Statistics, or related areas with a strong computational focus. Strong preference for a graduation year date of 2026 or 2027. You currently have valid work authorization to work in the country in which this role is based that will extend from June to September 2026. You are available from June 15th onwards for a 10 or 12 week summer internship . You have publications in communities such as NeurIPS, ICML, ICLR, EC, AAAI, RecSys, The Web Conference, ACL, SIGIR, WSDM, KDD, Interspeech, or related venues (preferred) You are a creative problem-solver who is passionate about digging into complex problems and devising innovative ways to reach results (preferred) You have experience with the complexities of modeling and analyzing real-world data (preferred) Where You'll Be This role will be in New York City. Our internship program has a lot to offer with in office events and networking opportunities. To allow you to be fully immersed in our program and make the most of your time with us, we ask that you come into the office 3 days a week. The United States hourly rate for this position is $55 USD and is overtime eligible. These rates may be modified in the future. The role is eligible for select benefits such as Paid Public Holidays, and Learning and Development Trainings. Our paid research science summer internships last for approximately 10 or 12 weeks and start at the middle of June. The last day to apply is February 5th 2026 at 12 PM ET. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens.Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service.

This is Cradle Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools. Machine learning is revolutionising this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across pharma, biotech, agritech, foodtech, and academia. We're an experienced team of around 70 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across two main locations, Zurich and Amsterdam, and are focused on building the best possible team culture. We offer our employees a very competitive salary, a generous equity stake (for full time employees) in the company and a wide range of benefits and career progression opportunities. What we're looking for We are looking for a motivated Research Associate to strengthen our Large Libraries team. This team is responsible for developing and running high-throughput workflows for generating massive-scale protein libraries and screening them to produce datasets with >10^6 data points. These datasets power our machine learning models to accelerate protein optimization for antibodies, enzymes, and other protein classes. We're building cutting-edge experimental capabilities incorporating technologies like FACS, display platforms (yeast, phage, mRNA), microfluidics, and next-generation sequencing, working hand in hand with our ML algorithms. As a Research Associate, you'll join a diverse team of researchers to collaboratively execute and continuously improve novel wet lab methods for large-scale library construction, high-throughput screening, and data generation. If you enjoy running protein engineering workflows at scale, love to optimize experimental systems, and want to be a part of building world-class screening capabilities for the next-generation platform for making biotechnological products, please apply! Responsibilities As a Research Associate in the Large Libraries team, you will: * Run workflows for large-scale library construction, protein display platform preparation (e.g. yeast display, phage display), high-throughput screening (e.g. FACS), and NGS sample preparation. * Operate and maintain high-throughput screening equipment and automation platforms to generate high-quality datasets. * Suggest and work on improvements to make these workflows more efficient, robust, scalable, and integrated with our ML pipeline. * Effectively communicate results, successes, and challenges in a cross-functional environment. Your background Missing one or two points from the list below? No worries, if you're excited about this role and meet most of these criteria, we definitely want to hear from you. * BSc + 2 yrs, MSc, or equivalent experience in molecular biology, biochemistry, protein engineering, or related fields. * Hands-on experience with standard cloning techniques and DNA library construction. * Excitement to learn, contribute, and drive innovation in an early stage startup environment. Having an appetite for its ambiguity and fast pace. * Strong verbal and written communication skills in English. Proactively sharing results, successes and challenges in a cross-functional environment. * Ability to run multiple projects simultaneously while ensuring that process steps are documented, and physical/digital data are organized. Nice-to-haves Experience with one or more of the following would be an advantage: * Display platforms (yeast, phage, mRNA, ribosome display, or mammalian display). * Flow cytometry and FACS * Next-generation sequencing library preparation and quality control (Illumina, Nanopore, PacBio). * Microfluidics platforms for high-throughput screening. * Classical high-throughput laboratory automation (robotic liquid handlers, plate readers, colony pickers). * High-throughput cloning technologies, such as site-directed mutagenesis, Gibson Assembly, Golden-Gate Cloning, or overlap extension PCR. * Large-scale library construction methodologies (>10^6 variants). * Familiarity with (scripting) languages such as Python, Matlab, R, SQL. * Experience with statistical experimental design or data quality assessment. Learning more about the BioEngineering team We're quite open about what we work on in our BioEngineering team. If you'd like to learn a bit more before applying, check out blog posts from our team (link 1, link 2) or watch our webinar on lab automation. A notice about recruitment scams: Please be aware that scammers are posing as us in order to get your personal details or money. We only communicate *************** email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.

Applications to be submitted by January 12, 2026 Compensation Grade: P18 Compensation Details: Minimum: $66,442.00 - Maximum: $66,442.00 Annually Positions with a designated work location in New York City, Nassau, Rockland, Suffolk, or Westchester Counties will receive a $4,000 annual downstate adjustment (pro-rated for part-time positions). Department (OPH) CCH - Division of Epidemiology Job Description: Responsibilities The Bureau of Surveillance and Data Systems (BSDS) is responsible for the management and oversight of several Department of Health (DOH) mission critical surveillance systems including the New York State Immunization Information System (NYSIIS) and Electronic Clinical Laboratory Reporting System (ECLRS), Communicable Disease Electronic Surveillance System (CDESS), the Electronic Syndromic Surveillance System (ESSS), and the Outbreak Management Solution (OMS). BSDS has oversight of the design, development, implementation, maintenance, enhancement, and training related to the mentioned systems, and all aspects of electronic surveillance data for over 60 reportable communicable diseases and emergency communicable disease events to ensure statewide compliance with reporting and tracking for reportable and emerging disease threats. The Research Scientist I (RSI) will mainly work on syndromic data research and data quality control. Key responsibilities include, but are not limited to: contributing to the monitoring of Emergency Department (ED) HL7 data feeds and upcoming Emergency Medical Services (EMS) DataMart feeds to ensure data completeness and timeliness; researching and analyzing EMS data for syndromic surveillance; writing SAS codes for data validation, surveillance reports, and syndromic research to enhance the ESSS; developing and maintaining the ESSS Tableau module; creating syndrome definitions and filters using SAS; preparing and supporting presentations, peer-review publications, and other dissemination materials; and supporting public health surveillance using syndromic data and other data quality initiatives as needed. Minimum Qualifications Bachelor's degree in Public Health, Statistics, Biostatistics, Epidemiology or a related field and two years of research experience. A Master's degree in a related field may substitute for one year of research experience. Preferred Qualifications Strong research and analytical skills; Proficiency in SAS programming and data analysis; Knowledge of disease coding systems such as ICD-10; Knowledge of HL7 messaging standards; Experience with relational databases such as Oracle; Strong oral and written communication skills to support effective reporting, research, documentation, and stakeholder engagement. Conditions of Employment Grant funded position. Compliance with funding requirements such as time and effort reporting, grant deliverables, and contract deliverables, is required. Visa sponsorship may be available for this position, in accordance with applicable federal requirements. The selected candidate must reside within a reasonable commuting distance of the official work location specified in the job posting and must also be located in or willing to relocate to one of the following states: New York, New Jersey, Connecticut, Vermont, or Massachusetts, prior to hire. Telecommuting will be available. HRI participates in the E-Verify Program. Affirmative Action/Equal Opportunity Employer/Qualified Individuals with Disabilities/Qualified Protected Veterans ********************** About Health Research, Inc. Join us in our mission to make a difference in public health and advance scientific research! At Health Research, Inc. (HRI), your work will contribute to meaningful change and innovation in the communities we serve! At HRI, we are on a mission to transform the health and well-being of the people of New York State through innovative partnerships and cutting-edge public health initiatives. As a dynamic non-profit organization, HRI plays a crucial role in advancing the strategic goals of the New York State Department of Health (DOH), Roswell Park Comprehensive Cancer Center (RPCCC), and other health-related entities. HRI offers a robust, comprehensive benefits package to eligible employees, including: Health, dental and vision insurance - Several comprehensive health insurance plans to choose from; Flexible benefit accounts - Medical, dependent care, adoption assistance, parking and transit; Generous paid time off - Paid federal and state holidays, paid sick, vacation and personal leave; Tuition support - Assistance is available for individuals pursuing educational or training opportunities; Retirement Benefits - HRI is a participating employer in the New York State and Local Retirement System and offers optional enrollment in the New York State Deferred Compensation Plan. HRI provides a postretirement Health Benefits Plan for qualified retirees to use towards health insurance premiums and eligible medical expenses; Employee Assistance Program - Provides educational and wellness programs, training, and 24/7 confidential services to assist employees, both personally and professionally; And so much more!

Job Description Dr. Mark Avi Bitton in Forest Hills, NY is looking for one receptionist to join our 4 person strong team. Our ideal candidate is a self-starter, punctual, and engaged. Responsibilities Greet and welcome guests in a friendly and professional manner Answer and screen phone calls Perform various automated ophthalmic screening tests Maintaining office cleanliness and organization of resources Qualifications Proven experience as an outstanding receptionist Knowledge of EMR, especially eClinicalworks, a huge plus Excellent customer service skills and courteous phone manner Time-management and organizational skills We are looking forward to hearing from you.

Hudson River Trading (HRT) is hiring an AI Researcher to join the HAIL team. HAIL (HRT AI Labs) is the team at HRT responsible for developing and maintaining our most powerful models, which are used by our trading teams to drive a significant fraction of our trading. We are building and deploying "foundation models for markets", that ingest and train on vast amounts of market data, to make predictions about future market state. We are seeking experienced AI researchers to join our team to accelerate our efforts. Researchers have great independence to pursue the research directions they think would be most impactful as part of a small focused team with minimal bureaucracy. They are enabled by state-of-the-art research clusters with very high GPU-to-researcher ratios, and supported by excellent engineering, hardware, and systems teams to realize their vision. Your work will be directly, clearly, highly impactful on the business, and it will be challenging: this is a field with no easy or obvious solutions. You'll be responsible for improving every part of our models: from featurization of data, to architecture design, to training dynamics, to how trading decisions are made. Qualifications Must have two or more years work experience in deep learning research, for any domain: robotics, biology, chemistry, physics, audio, video, etc. Experience translating methods between areas of application is highly valued. LLM experience is valuable, but not necessary. Strong engineering skills valued, especially any of: GPU kernel development, lower-level Pytorch/JAX development, intermediate C++, FPGA/ASIC experience, HPC experience. The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company's retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations. Culture Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We're a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization-from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we're friends and colleagues - whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office. Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we'd love to get to know you. Please be advised: Use of AI tools during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used during any stage of the hiring process, we reserve the right to immediately disqualify your candidacy or rescind any job offers extended.

At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK As a Ripple intern, you will work on challenges that impact our mission and shape our company. With support from your team, access to learning and development resources, and opportunities for fun along the way, our program will give you the foundation to start your career journey. Ripple Impact is helping to develop a more scalable, sustainable, ethical and inclusive global blockchain ecosystem by supporting education, research and technical innovation in blockchain and FinTech through its flagship university partnerships program, the University Blockchain Research Initiative (UBRI). UBRI now includes more than 55 universities from 26 countries worldwide. As a Research Associate for Ripple Impact, you will play an instrumental role in helping to grow UBRI's program, through both employee driven efforts and collaboration with leading universities. This is a rare and exciting opportunity to be involved in delivering an innovative program at a phenomenal place to work with the potential to have a tremendous, positive impact globally. WHAT YOU'LL DO Work with the head of the University Blockchain Research Initiative to ensure all partnerships are adequately supported and highly productive Analyze interim reports and present findings to highlight success metrics Monitor progress of research projects and track major developments and milestones of UBRI to represent and share program success Identify and support subject matter experts and University alma mater internally and connect to partners Be a champion for UBRI inside Ripple's culture Educate global employees on regional partner highlights and connect them to opportunities to get involved with local faculty and students on projects or events WHAT YOU'LL BRING Currently enrolled in a Graduate or PhD degree preferably in a Computer Science or related field. Available to work for 12 weeks during Summer 2026, beginning in May or June. Intent to return to degree-program after the completion of the internship. Strong understanding of blockchain, cryptocurrency and/or related fields. Experience working with engineers within an engineering driven culture with a desire to innovate, build and grow things. Strong literature review and data analysis skills with proficiency with metrics, tracking and reporting. Ability to bring people together around a common goal and lead by example. Exceptional communicator with strong writing and presentation skills. Proficient relationship management skills; ability to reach out, initiate and cultivate relationships with both internal and external contributors. Experience bridging industry and academic worlds. Serious attention to detail and a commitment to excellence. Smart, energetic and steadfast in the pursuit of moving the needle / doing something new and innovative. Enjoy mentoring and inspiring the people that you work with and see diverse teams as an asset. For positions that will be based in NY, the hourly range for this position is below. Actual rates may vary based on numerous factors including, among other things, an individual applicant's experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions. NY Hourly Rate Range$28-$34.50 USD WHO WE ARE: Do Your Best Work The opportunity to build in a fast-paced start-up environment with experienced industry leaders A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support Employee giving match Mobile phone stipend Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy - work with your manager to take time off when you need it Industry-leading parental leave policies. Family planning benefits. Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.

Kensho is S&P Global's hub for AI innovation and transformation. With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide. Kensho's solutions and research focus on business and financial generative AI applications, agents, data retrieval APIs, data extraction, and much more. At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. We collaborate using our teammates' diverse perspectives to solve hard problems. Our communication with one another is open, honest, and efficient. We dedicate time and resources to explore new ideas, but always rooted in engineering best practices. As a result, we can innovate rapidly to produce technology that is scalable, robust, and useful. Are you looking to solve hard problems and enjoy working with teammates with diverse perspectives? If so, we would love to help you excel here at Kensho. We are a collaborative group of experienced Machine Learning Engineers, Applied Scientists, and Research Scientists, whose academic backgrounds include doctorate degrees in NLP, theoretical physics, statistics, etc. We take pride in our team-based, tightly-knit startup Kenshin community, which fosters continuous learning and a communicative environment - allowing us to tackle the biggest challenges in data. We value in-person collaboration; therefore, interns are required to work out of the Cambridge MA HQ or our New York City office! About the R&D Team: Kensho's R&D lab was created from scratch in 2022 with the mission of bringing cutting-edge innovation to Kensho and S&P Global at large. Our small, but growing, 7-person team conducts pure research - primarily in NLP - with topics including: tokenization [3][4][8][9][10] building challenging evaluation benchmarks [5][6][11][14] long-form QA and reasoning [5][6] document inconsistencies [15] post-training techniques [12] and more [1][2][7][13] We prioritize publishing in ACL, NAACL, COLM, EMNLP, NeurIPs, ICML, etc. Related, we host a thriving Reading Group every week, where folks all throughout Kensho's ML Org volunteer and regularly attend. We maintain close ties with academia (e.g., we collaborate on research w/ several universities and our Head of R&D teaches NLP and ML at MIT). Since our inception, we have regularly presented our work to senior members (e.g., CEO, CFO) of S&P Global and in turn have had our research and models mentioned in S&P Global's Quarterly Earnings Reports. Our early research with LLMs helped secure resources for several new, large Generative AI projects throughout Kensho. About the Role As a research scientist intern, you will be a core member of our lab and will work on a high-impact project that best aligns with your experience and research interests. You will be paired with a full-time Research Scientist mentor and will have the opportunity to present your work to all of Kensho. You will actively conduct and publish research that concerns one of the following core NLP areas: Tokenization Evaluations Other - based on shared interests and priorities What You'll Do: Move the needle on unsolved problems in NLP/ML by conducting original research - with the goal of publishing your work in a top conference Develop novel state-of-the-art work within deep learning (e.g., algorithms, models, datasets, analyses). Collaborate with other research scientists, engineering leaders, and product managers Contribute to a stellar engineering culture that values simplicity and function rooted in excellent design, documentation, testing, and code Write clean, readable research code in PyTorch (not expected to write production-level code) What We Look For: Currently enrolled in a PhD or Master's program (e.g., Computer Science, Linguistics, or a related technical field), with the expectation of returning to school after completion of the internship. Having published in top NLP/ML conferences (e.g., ACL, NAACL, EMNLP, NeurIPS, COLM, ICML), ideally as a first-author. Relevant work experience (e.g., via internships, full-time, or at a lab). Fluency in PyTorch. [1] A Graphical Approach to Document Layout Analysis. ICDAR 2023. [2] An Analysis of Multilingual FActScore. EMNLP 2024. [3] Tokenization is More Than Compression. EMNLP 2024. [4] Greed is All You Need: An Evaluation of Tokenizer Inference Methods. ACL 2024. [5] BizBench: A Quantitative Reasoning Benchmark for Business and Finance. ACL 2024. [6] DocFinQA: A Long-Context Financial Reasoning Dataset. ACL 2024. [7] Language Model Probabilities are Not Calibrated in Numeric Contexts. ACL 2025. [8] Entropy-Driven Pre-tokenization for Byte Pair Encoding. ICML Workshop 2025. [9] How Much is Enough? The Diminishing Returns of Tokenization Training Data. ICML Workshop 2025. [10] Boundless Byte Encoding: Breaking the Pre-Tokenization Barrier. COLM 2025. [11] SEC-QA: A Systematic Evaluation Corpus for Financial QA. EMNLP Workshop 2025. [12] BLEUBERI: BLEU is a surprisingly effective reward for instruction following. NeurIPS 2025. [13] Complexity Scaling Laws for Neural Models using Combinatorial Optimization. NeurIPS 2025. [14] No Free Labels: Limitations of LLM-as-a-Judge without Human Grounding. Unpublished manuscript. [15] Paper recently completed and submitted to ACL Rolling Review. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to ************************. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Summer 2026 Internship: Life Sciences Informatics Intern, Science & Research If you're looking to grow your network and gain new skills within a global company, an internship with dsm-firmenich could be the program for you. Our summer internships provide students opportunities to work on real business projects and gain invaluable professional experience. As an intern, you'll have exposure to many different areas of a global flavors, fragrances, and ingredients organization that works with some of the biggest brands in the world, along with opportunities to network with your peers and leadership. From engaging events to mentoring opportunities and valuable resume-building experiences, we're committed to preparing you for a fulfilling and enduring career, both at dsm-firmenich and beyond. We are currently looking for a Life Sciences Informatics Intern at our Long Island City, NY office. The 2026 dsm-firmenich Summer Internship Program will run from June 1, 2026 to August 14, 2026. Working Hours: Monday - Friday, 8:00am - 5:00pm Join our Science & Research, Systems Biology team as an intern and gain invaluable professional experience. Enhance your skills and contribute to real projects that have visibility across the business through a Summer internship. Come discover all we have to offer! Your key responsibilities * Align with biologists, chemists, and operations workforce to understand chemical tracking requirements * Aid in database redesign * Implement standardized queries using proper cybersecure protocols * Design, build, and deploy a web-based interface for interacting with chemical inventory We bring * Build Your Future Skills: Gain hands-on experience and develop practical skills that prepare you for a successful career. * Expand Your Network: Connect with professionals and peers in a company where sustainability drives every decision and action. * Thrive in an Inclusive Culture: Join a community that values and respects every individual-regardless of background, beliefs, or identity. * Grow Through Curiosity: Work in an environment that encourages open-mindedness, learning, and collaboration to create a better future together. You Bring * Currently working on completion of a Bachelor's degree in Biology, Chemistry, Physics, Data Science, or related field * Must be available to work full-time on-site beginning on June 1, 2026 to August 14, 2026. * Excellent communication and interpersonal skills * Strong analytical skills and ability to synthesize and parse data * Proficiency in at least two of the following: Python, JavaScript (Svelte preferred), SQL, Rust * Experience working with biological or chemical datasets The hourly rate for this position is $23.00 - $26.00 per hour. Compensation will be dependent on factors that include location, education, training, specific skills, and years of experience. At the end of this internship, you will: Have hands on experience working with scientists across domains, gathering an understanding of how different teams can work together and impact each other. You will directly impact the productivity of multiple departments through the design and deployment of both the frontend and backend of a chemical management and tracking system. About dsm-firmenich: At dsm-firmenich, we don't just meet expectations - we go beyond them. Join our global team powered by science, creativity, and a shared purpose: to bring progress to life. From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions - every single day. Whether it's fragrance that helps you focus, alternative meat that's better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere. And while you're making a difference, we'll make sure you're growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They're essential to our future. Because real progress only happens when we go beyond, together. Inclusion, belonging and equal opportunity statement: At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work - and that's exactly the kind of culture we're building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong. We're proud to be an equal opportunity employer, and we're serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we're committed to reflecting the world we serve. We welcome candidates from all backgrounds - no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you. And if you have a disability or need any support through the application process, we're here to help - just let us know what you need, and we'll do everything we can to make it work. Agency statement: We're managing this search directly at dsm-firmenich. If you're applying as an individual, we'd love to hear from you. We're not accepting agency submissions or proposals involving fees or commissions for this role.

Job Title: Entry-level Equity Research Associate - Healthcare Services Cantor is looking for an Equity Research Associate to join its Healthcare Services team. We are looking for a motivated individual to work directly with the Senior Research Analyst on: analyzing companies and market trends, composing company-specific and thematic research reports, building and maintaining financial models, interviewing industry experts company executives and key opinion leaders across various healthcare services sectors, overseeing surveys, analyzing large datasets, and interacting with Cantor's institutional sales force, traders, and investor clients. The associate will have lots of autonomy and room for increased responsibility, will be joining a small team with broad exposure to company management teams and access to Cantor's leadership, will attend industry and investor conferences, and will join a culture that focuses on learning and mentorship. Job Requirements and Qualifications: * Outstanding analytical skills. * Ability to do deep primary research, analyze and draw conclusions from information * Strong work ethic, attention to detail, curious, optimistic, tenacious with a desire to learn about the US Healthcare Services Industry * Strong sense of integrity * Good verbal and written communication skills * Proven ability to work well on teams, showing initiative, and a willingness to incorporate constructive feedback to continually improve work product * Equity sales or research internship experience, or investment club involvement, a plus * Must be a self-starter with strong pattern recognition skills Educational Qualifications: * Bachelor's Degree required Salary: $90,000 - $120,000 Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licenses or certifications obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates may be eligible to receive a discretionary bonus. We do not accept unsolicited resumes, candidate referrals, or outreach from third-party recruiters or staffing agencies. Any such submissions will be considered property of Cantor Fitzgerald and will not be eligible for any placement fee. Recruiters must have a signed agreement with our Talent Acquisition team and be invited to submit candidates for a specific role. Direct contact with hiring managers or employees is strictly prohibited

Research Associate - Equity Research B. Riley Securities | Arlington, VA & New York, NY Join a Top-Ranked Research Platform Where Your Impact Matters from Day One For more than 25 years, B. Riley Securities has built its reputation as a premier small- and mid-cap research boutique widely recognized across the Street for its exceptional stock-picking performance, which is the backbone of our firm. With approximately 400 companies under coverage and a fundamentals-driven approach, our research platform has earned recognition for generating alpha-producing ideas that institutional investors trust. We are seeking ambitious research associates that are ready to join our proven analyst development track and make an immediate impact at a leading middle-market investment bank. The B. Riley Securities Difference: Industry-Leading Internal Promotion Track Record Unparalleled Growth & Advancement Clear path to analyst: Our track record speaks for itself-we promote from within. Rapid responsibility: Our team structure means you will have direct exposure to senior leadership and meaningful responsibilities from your first day. Mentorship that matters: Join small mentor-led groups to compete in monthly stock pitch competitions. Winners earn bonus compensation; consistent excellence is required for promotion to senior associate and mentor roles. High-Impact Experience from Day One C-suite access: Participate in management meetings, analyst days, earnings calls, and B. Riley Securities-led investor days. Client engagement: Interface directly with institutional investors, hedge funds, and portfolio managers. Published research: Co-author research reports and coverage initiations once licensed, where your contributions can move markets. Differentiated Platform Advantages Alpha generation focus: Our thematic and proprietary research focused on small- to mid-cap companies consistently identifies overlooked opportunities. Unique Discovery Group leadership: Our Discovery Group promotes a value-focused strategy that uncovers hidden gems in the small-cap universe. Full platform capabilities: B. Riley Securities provides services across investment banking, M&A advisory, and capital markets. Position Overview As a research associate, you will develop the analytical rigor and market instincts necessary to become a leading voice in equity research. Under direct supervision from senior analysts who will likely have risen through the ranks at B. Riley Securities themselves, you will have the opportunity to master fundamental analysis, financial modeling, and investment thesis development. Base salary range: $80,000-$100,000, depending on experience Location: Arlington, VA or New York, NY Core Responsibilities Research & Analysis Identify actionable investment opportunities through fundamental research and channel checks. Develop differentiated investment theses with clear catalysts and risk/reward frameworks. Monitor coverage universe for inflection points and communicate timely calls to team. Present stock ideas in monthly associate program competitions with conviction and supporting analysis. Conduct deep-dive industry research and primary research initiatives. Financial Modeling & Valuation Build and maintain complex financial models, including DCF, comparable analysis, and sector-specific frameworks. Demonstrate mastery of accounting fundamentals and financial statement analysis. Construct accurate forecasts and sensitivity analyses to support investment recommendations. Identify key debate points and valuation disconnects in coverage universe. Research Production & Engagement Draft institutional-quality research reports requiring minimal editing before publication. Communicate actionable ideas on morning/midday calls when appropriate. Execute information requests from sales force and institutional clients. Support corporate access initiatives connecting investors with management teams. Participate in earnings calls, investor meetings, and management presentations. Build relationships with company management teams and investor relations professionals. Professional Development Participate in firm activities, committees, task forces, and recruiting efforts. Attend external industry-related events. Support corporate access initiatives connecting investors with company management teams. Professional Development Track Foundational Excellence Obtain all FINRA licenses (SIE, Series 86/87) within the first 6 months. Master financial modeling and accounting fundamentals. Develop inquiry skills to identify pertinent questions and debate points. Demonstrate “can do” attitude and independent resourcefulness. Senior Associate Progression Develop a thorough understanding of coverage names with proprietary insights. Proactively identify timely product ideas and facilitate coverage expansion. Competently respond to client requests independently when analyst is unavailable. Successfully construct complex models with accurate forecasting. Analyst Readiness Manage several names under coverage with minimal supervision. Develop and maintain corporate relationships, securing valuable access. Generate actionable ideas for the investment banking team. Lead new coverage launches from initiation through publication. Earn respect of sales and trading team through consistent value-add. Qualifications Education & Experience Must have a Bachelor's degree in finance, economics, accounting, healthcare, or related field. Undergrads not accepted Demonstrated passion for public markets through investment club participation, personal investing, and/or relevant coursework. One to four years of experience in equity research or general finance (preferred but not required). CFA designation or active candidacy (preferred). Technical Excellence Superior analytical skills with deep understanding of financial and accounting principles. Advanced proficiency in Excel financial modeling and PowerPoint presentations. Experience with Bloomberg, Blue Matrix, and FactSet (preferred). Excellent verbal and written communication skills with the ability to express ideas effectively and fluently to an institutional audience. Personal Attributes Intellectual curiosity and passion for uncovering investment opportunities. Ability to manage multiple projects while maintaining attention to detail. Comfortable with direct client interaction and public speaking. Team player who thrives in a competitive team environment. Licenses SIE, Series 86 and Series 87 licenses preferred. If not currently licensed, required to obtain all necessary licenses within the first 6 months of employment. Coverage Sectors Research associates join teams covering sectors where B. Riley Securities has established expertise: Consumer, Media & Entertainment Diversified Industrials, Homebuilders & Building Materials Discovery Group (industry vertical unconstrained small-/mid-cap) Energy & Natural Resources Financial Services Healthcare Real Estate Technology Compensation & Benefits Competitive base salary range of $80,000 to $100,000 with quarterly performance-based bonuses and potential for additional associate program competition bonuses. Comprehensive medical, dental, and vision insurance. 401(k) profit-sharing retirement plan. Paid holidays, vacation, and sick leave. Professional Development Mentorship program: paired with a senior associate mentor. License support: sponsorship of all required FINRA licenses. Conference participation: opportunities to attend industry and B. Riley Securities conferences. Continuing education: access to training programs, industry seminars, and executive education. Application Process We are looking for exceptional talent to join our team. The interview process includes: Initial screen: Participate in phone interview with HR and hiring manager. Associate interview: Current team of associates evaluates your stock pitch and cultural fit. Technical assessment: Complete a modeling and writing test. Analyst interview: Senior analyst assesses analytical capabilities and sector knowledge. Final round: Director of Research evaluates overall potential and fit. About B. Riley Securities B. Riley Securities provides comprehensive investment banking and capital markets services across all industry verticals, with our equity research platform serving as the intellectual foundation of the firm. BRS is widely recognized for thematic proprietary equity research, and our clients benefit from our extensive network and industry expertise, as well as from the proven execution capabilities of our end-to-end financial services platform. Our research drives investment banking opportunities, trading flow, and institutional relationships across the platform. With a 25+ year track record of identifying winning stocks and developing top-tier analysts, we believe that we offer the most proven path from associate to analyst on the Street. Equity research platform: ************************************************ B. Riley Securities, Inc. employees enjoy competitive salaries, access to our 401(k) profit sharing retirement plan and our other benefits including paid holidays, vacation, and sick leave, voluntary group medical, dental, and vision insurance, and company paid life and disability coverage. Inclusion and Equal Opportunity Employment: B Riley Securities is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors.

The Department of World Languages and Literatures at Skidmore College invites applications for a part-time, non-tenure track Assistant Lecturer position in Arabic beginning Spring 2026. This is a one semester appointment with possibility for renewal. Responsibilities: Teach one section of Arabic 101 Contribute to departmental initiatives, etc. Qualifications: A minimum of a master's degree in Arabic linguistics, language pedagogy, second-language acquisition, or a related field Demonstrated excellence in teaching at the college level Native or near-native proficiency in Arabic Excellent command of English Salary: $2507 per credit (courses are three or four credits). All bargaining unit members shall be covered by a collective bargaining agreement between Skidmore College and Services Employees International Union (SEIU), Local 200 United. This position is not eligible for visa sponsorship. Employment is contingent upon successful completion of the Form I-9 and verification of identity and work authorization as required by federal law. Application Instructions: Applicants should submit a cover letter, curriculum vitae, a statement of teaching philosophy, sample of teaching materials, and contact information for two references. Review of applications will begin on September 15, 2025 and continue until the position is filled. Apply online: ************************************* Questions? Please contact Mary Kate Donovan at *********************. About Skidmore College Skidmore is a highly selective liberal arts college of ~2,500 students representing 47 states and 46 countries. With a student‑faculty ratio of 8:1, we value close interaction, creative pedagogy, and teacher‑scholar excellence. Equal Employment Opportunity Statement Skidmore College is committed to being an inclusive campus community and, as an Equal Opportunity Employer, does not discriminate on the basis of gender, race, ethnicity, color, national origin, religion, age, disability, veteran or marital status, sexual orientation, gender identity or expression, domestic‑violence‑victim status, genetic information, prior arrest or conviction record, or any other category protected by law. Employment at Skidmore College is contingent upon an acceptable background check result. CREATIVE THOUGHT MATTERS

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities. Design and experiment new approaches to preference optimization. Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness. Publish research findings in top-tier AI conferences. Ideally you'd have: Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning. Excellent written and verbal communication skills Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals Previous experience in a customer facing role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000-$315,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. 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Radical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunity As an AI Researcher specializing in generative models for materials discovery at Radical AI, you will help the development of the first commercial foundation model for materials science. Your role involves pioneering the application of generative models in the field of materials science, in particular by leveraging flow matching, diffusion, and LLMs. You will develop novel models and training techniques tailored for atomistic data in materials science. Your responsibilities include designing and conducting large-scale experiments to validate the most promising approaches in generative modeling. Collaborating closely with our engineering and computational materials science teams, you will play a crucial role in transitioning state-of-the-art models from research to production. Your expertise will contribute to the broader research community through publications in top-tier AI/ML venues like NeurIPS, ICML, and ICLR, alongside active participation in conferences and workshops. This role offers the unique opportunity to mentor and guide junior members of our technical team and research interns, fostering a culture of growth and innovation. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission Lead and develop our generative foundation models in materials discovery. Work in collaboration with various teams, in particular the quantum chemistry team, the atomistic simulation team, the engineering team, and the experimental team. Conduct large-scale experiments to validate and refine promising approaches, collaborating closely with engineers to implement these models in production. Develop rigorous benchmarks to validate and test the performance of our models. Contribute to the AI and materials science research community through publications and active engagement in top-tier AI/ML venues like NeurIPS, ICML, ICLR, and our company blog, alongside active participation in conferences and workshops. Tackle challenging problems with new and different ideas, creativity and contrarian thinking. Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation. About you Ph.D., M.S., or B.S. in Computer Science, AI, Machine Learning, Applied Maths, or a closely related field, with a strong focus on deep learning and generative models. At least 3 years of research experience in AI, with a proven track record in generative modeling, particularly in fields adjacent to materials science. Working knowledge of various generative AI architectures, including transformers, diffusion models, CNFs, and flow matching. Demonstrated experience in designing and running large-scale experiments in AI and machine learning. Passionate about leveraging ML for science related problems and a commitment to doing world-class research. Proficiency in Python and relevant ML libraries (e.g., PyTorch). Strong publication record in top-tier AI/ML conferences or journals. Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively. Pluses Prior experience in transitioning AI research into production environments. Active involvement in the AI research community, with contributions beyond publications, such as organizing workshops or giving talks at conferences. What we offer A competitive compensation package also includes the best in benefits: Medical, dental, and vision insurance for you and your family Mental health and wellness support Unlimited PTO and 14+ company holidays per year 401K Work closely with a team on the cutting edge of AI research. A mission: an opportunity to fundamentally change the way humanity makes progress through materials science discovery. Salary Description Competitive salary + Equity + Benefits; base pay offered may vary depending on job-related knowledge, skills, and experience. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.