Research assistant jobs in Hoboken, NJ - 852 jobs

At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

The Sanjana Lab at the New York Genome Center and NYU's Department of Biology is looking for a motivated individual to work as a Research Assistant within a highly creative and dynamic research team of scientists, engineers, and life science entrepreneurs. Our team works on a diverse array of projects that span genomics, bioengineering, cancer biology and neuroscience. We focus on developing new genome engineering technologies to understand gene regulation, development, tumor biology and genetic drivers of disease. Recent work from the group has included in vivo and RNA-targeting CRISPR screens, pairing CRISPR perturbations with multiomic single-cell readouts, engineering T cell therapies and precise genome editors, and uncovering cis -regulatory elements in the human noncoding genome. We are seeking a motivated Research Assistant to contribute to ongoing projects in genome editing, functional genomics, and cell-based neurobiology, including perturbation-based single-cell approaches. We request that all applicants complete the skills questionnaire here before applying for the position: ********************** The candidate will work closely with experienced postdoctoral fellows and senior scientists, receiving hands-on mentorship in experimental design, cellular neurobiology, advanced microscopy, and data analysis. This role offers substantial opportunities for technical and scientific growth within a top-tier, interdisciplinary research environment. Responsibilities include, but are not limited to: Plan, execute and troubleshoot complex biological experiments both independently and in close collaboration with colleagues. Design and carry out experiments involving molecular biology, mammalian and neuronal cell culture, immunoflourescence, advanced fluorescence microscopy (e.g., spinning-disk confocal) and computational biology, with opportunities to develop deep expertise in these areas. Manage small independent research projects while contributing to larger team-based efforts. Analyze and interpret experimental data, including quantitative image-based readouts. Engage with primary scientific literature and consult with colleagues to refine experimental approaches, troubleshoot challenges, and propose solutions. Maintain accurate, detailed experimental records and communicate results clearly through presentations, lab discussions, and written documentation. This position is ideal for a highly motivated early-career scientist seeking rigorous training in cell-based neurobiology, advanced imagining and perturbation-based functional genomics within a leading interdisciplinary research environment. Position Requirements: BS in Biology, Neuroscience or a related field, with hands-on laboratory experience in experimental biology. Demonstrated experience with immunofluorescence and fluorescence microscopy; prior exposure to advanced microscopy such as spinning-disk confocal is highly desirable but not required. Evidence of independent thinking and initiative through prior research projects. Ability to collect, analyze and interpret experimental data with exceptional attention to detail and rigor in experimental execution and record-keeping. Strong motivation, scientific curiosity and eagerness to learn new techniques within a highly collaborative and productive environment. In addition to submitting your resume and cover letter through this site, please also complete this web form: ********************** Competencies Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations and delivers on commitments. Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so. Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity. Salary The salary range for this position is $46,000-55,000 per year. Base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. About the New York Genome Center The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with twelve leading academic medical centers and research universities in the New York region and beyond, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Equal Opportunity We strive to create a workplace environment that is welcoming and fair to all regardless of race, ethnicity, gender, sexual orientation, physical ability, or religion. We believe that when people of various backgrounds, life experiences, and perspectives work together in an inclusive and equitable environment we gain new and valuable perspectives that otherwise would have been missed. Valuing and supporting all NYGC employees as individuals while helping them realize their full potential is critical to promoting greater collaboration, innovation, and discovery - fostering a sense of belonging for our greatest strength, our people. We recognize that there is still work to be done that will require sustained commitment from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. The New York Genome Center takes affirmative action in support of its policy to hire and advance in employment individuals who are minorities, women, protected veterans, and individuals with disabilities. FLSA Status - Non- Exempt This position is not eligible for visa sponsorship or relocation assistance.

The Department of Civil Engineering and Engineering Mechanics at Columbia University is seeking a highly motivated and skilled Postdoctoral Researcher to join our team in Experimental Solid Mechanics . This is an exciting opportunity to contribute to cutting‑edge research aimed at advancing our understanding of material behavior in extreme environments experimentally, in collaboration with the computational mechanics group. The successful candidate will be involved in an experimental effort to investigate the mechanics of materials subjected to dynamic loading. The research will involve the use of advanced experimental techniques, such as digital image correlation, Hopkinson bar, and analytical tools to gain insights into the behavior of materials under various loading conditions. We are looking for a candidate with the following qualifications: Solid Mechanics Background : A strong foundation in the principles of solid mechanics, including material behavior, deformation, and failure. Experimental Techniques : Hands‑on experience with experimental methods and equipment relevant to solid mechanics testing (e.g., mechanical testing systems, strain measurement, high‑speed imaging, digital image correlation). Problem‑Solving and Analytical Skills : Ability to independently identify, troubleshoot, and solve complex experimental and analytical problems. Communication Skills : Strong written and verbal communication skills, able to present research findings to both technical and non‑technical audiences. Collaboration Skills : Proven ability to work effectively in multidisciplinary research teams Preferred Qualifications Ph.D. in Mechanical Engineering, Civil Engineering, Materials Science, or a related field. Demonstrated publication record in relevant areas of research. Experience with custom experimental setup development and instrumentation is a plus. Interested applicants should submit the following documents: A cover letter detailing research experience and interests Curriculum vitae (CV) Contact information for at least two academic references Relevant publications (optional) Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University?s good faith and reasonable estimate of the range of possible compensation at the time of posting. #J-18808-Ljbffr

Research Associate Type: Full-Time Salary Range: $60k to 64k/PA base + uncapped monthly bonus Our client a fast-growing global research and consulting firm that connects leading financial institutions, consulting firms, healthcare Firms, and corporations with industry experts to support strategic decision-making. The team specializes in facilitating expert interviews, surveys, and insights across a wide range of industries and markets. Why Join This is an exciting opportunity to kickstart your career in research, business development, and client engagement. As a Research Associate, you'll help top-tier clients-like investment funds and consulting firms-gain insights by identifying and connecting them with subject matter experts across industries. You'll gain exposure to a wide variety of sectors, from eCommerce to energy, healthcare to finance, all while building your business acumen, communication skills, and strategic thinking. Responsibilities: Own end-to-end execution of multiple client research projects simultaneously Analyze client briefs to understand research objectives and key pain points Conduct high-level industry research to identify relevant expert profiles Source, screen, and recruit industry experts (C-suite, senior executives, specialists) Develop screening questions and qualification criteria for expert selection Communicate directly with hedge funds, private equity firms, and consulting clients Negotiate expert consultation rates independently Coordinate scheduling, onboarding, and delivery of expert consultations Manage international and cross-office projects with senior stakeholders Build long-term expert relationships and internal knowledge bases Qualifications Graduated in Spring/Summer 2025 or Dec 2025 with a Bachelor's degree (minimum 3.3 GPA preferred) 6-12 months of work or internship experience in a fast-paced, client-facing or research-oriented environment Excellent verbal and written communication skills Strong research, organizational, and time-management skills Team-oriented with the ability to work independently under tight deadlines Entrepreneurial mindset with a desire to learn and grow Leadership experience through internships, student organizations, or part-time work Fluency in English (other languages are a plus) Comfortable speaking with senior-level professionals and building rapport quickly Ideal Candidate Profile Smart, curious, and commercially minded Comfortable with ambiguity and fast turnaround times Competitive but collaborative Coachable and receptive to feedback Confident, polished, and professional Who Succeeds in This Role? Someone who is curious, solutions-driven, confident, and professional. You'll thrive if you're a natural communicator, quick learner, and team player who enjoys connecting people and solving business problems.

The Fine Lab The Fine lab is a Neuro-oncology research group that makes use of complex 3D human brain tumor models (GLICOs: ********************************************* ********************************************* to perform translational research into glioblastoma. We are a diverse, multinational and interdisciplinary team (MD/PhDs, cell/ molecular biologists, veterinarians & bioinformaticians) with a vibrant research and training environment in the Tri-Institutional Campus of New York City. We have secure funding and exceptional access to patient tissue/cell lines, as well as cutting edge scientific resources and training. The Role The successful candidate will be trained to work with embryonic stem cell-derived cerebral organoids interfaced with tumor stem cell biology, to facilitate High Throughput drug screenings. They will be a key personnel of the incipient Starr Foundation Cerebral Organoid Translational Core and will report to its supervisor. In achieving this goal, the candidate will have the opportunity to perform, and receive training in, a wide range of laboratory techniques including: reprogramming of induced pluripotent stem cells (iPSCs), embryonic and induced pluripotent stem cell culture, the generation and culture of cerebral organoids and tumor organoids and the use and development of cell based assays to test novel therapeutic drug candidates, and cutting edge gene editing and molecular biology techniques. They will be an integral member of the lab with the ability to work independently, contribute to experimental design, interpret and present your results to the wider team, and receive recognition through authorship on published work. Job responsibilities Collect and process biological patient specimens to establish glioma stem cell lines. Perform routine human iPSC/ESC culture. Generation and maintenance of hESC-derived cerebral organoids. Perform 2D and 3D high-throughput drug screening using luminescence-based assays. Prepares and maintains detailed records, logs and summary reports of all procedures and results including graphs, scientific calculations, and statistical analysis charting. May run routine biochemistry assays including western blotting and RT-PCR. May perform routine molecular biology laboratory procedures, such as PCR, DNA electrophoresis, cloning and DNA preparation. May perform microscopic imaging analyses. Minimum requirements: • Commitment to delivering meaningful advancements that directly enhance patient care and well-being. • Bachelor's degree in a relevant technical field (e.g. cell/ molecular biology, neuroscience, biochemistry) or equivalent practical experience. • One year ‘wet lab' work experience, including mammalian cell culture. • Strong teamwork skills with a proven ability to effectively interact and collaborate with other scientific disciplines. • Must currently be authorized to work in the United States to ensure immediate onboarding and integration into the team. Preferred qualifications • Master's or Ph.D. degree in a relevant technical field (e.g. cell/ molecular biology, neuroscience, biochemistry). • Experience culturing human stem cells (hESCs/ iPSCs) and 3D models. • Significant hands-on cell based assays for high throughput drug screening. • Experience generating stable, genetically engineered cell lines; working with lentivirus. • Experience in biochemistry assays including western blotting and RT-PCR. The position will be subject to annual approvals based on performance, with a starting salary commensurate with qualification and experience. It will require flexibility to work a few hours twice per month over the weekend given the nature of cerebral organoid generation procedures. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. Minorities are strongly encouraged to apply.

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. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

The Research Assistant will support the Research Department and Principal Investigator in a variety of tasks related to data collection, literature review, project coordination, and administrative support. This position provides a unique opportunity for a highly motivated candidate. The ideal candidate is detail-oriented, organized, and interested in advancing research related to public health, neuroscience, education, or behavioral sciences. Responsibilities: Assist with literature reviews, annotated bibliographies, and reference management using tools such as EndNote. Collect, clean, and manage data from surveys Conduct preliminary data analysis using REDCap, and other statistical tools Help prepare tables, charts, and figures for presentations, manuscripts, and reports Draft and edit sections of research manuscripts, proposals, and grant applications under supervision Participate in research team meetings and provide administrative support as needed Assist in organizing community-based research events, webinars, or outreach activities Maintain research project files and track progress using project management tools (e.g., Microsoft Planner) Adhere to ethical research standards and ensure confidentiality of all data and participant information Community engagement activity (tabling at local events, contributions to social media campaigns). Perform other duties as assigned. Qualifications: Completion of Master's degree program (preferably in Psychology, Public Health, Gerontology, Neuroscience, Biology, Education, or a related field) with 2-3 years' experience working on a research study from beginning to completion. Strong written and verbal communication skills Demonstrated ability to manage time effectively and meet deadlines Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint) 2 - 3 years working experience using REDCap statistical software is a must; and familiarity with SPSS, NVivo, or STATA software Working with human subjects' research protocols and IRB processes Knowledge of or interest in Aging, Alzheimer's disease or Related dementia, or health disparities research Experience working in research setting Work independently and collaboratively Preferred Knowledge & Skills: Experience in human subject research. Ability to speak/read/write a second language. Spanish Ability to communicate via phone, email, and text message. Strong organizational, interpersonal, and time management skills. Experience interacting with older adults. Ability to recruit and assist potential study participants. Participate in the preparation and delivery of presentations to disseminate study findings.

The Jefferies Software group is looking for an Associate to support the senior members of the team and the Senior Analyst. The ideal candidate will have 2+ years of relevant work experience (Research, IB, etc.), a strong work ethic, a high level of natural curiosity, and a desire to learn and development their analytical skills. Responsibilities: Work with Team Leaders to help support Senior Analyst's coverage of 20+ companies. Conduct due diligence on the Software sector. Monitor important macro and sector-specific developments that might impact companies under coverage. Build and maintain detailed financial models for covered and uncovered companies. Write research reports on covered companies and the Software sector. Source and utilize third-party data to drive data-based conclusions. Attend meetings with senior management, industry conferences, and company-specific conferences. Work with the entire team to help manage Senior Analyst's calendar. Required Background/Skills: The ability to ask for and accept coaching to accelerate development Interest in and ability to work long hours as required Strong writing and communication skills Strong financial modeling skills High proficiency in PowerPoint presentations Strong attention to detail The ability to organize, manage, and prioritize time well Strong project management skills Minimum Requirements: 2-3 years of combined experience in Equity Research or Investment Banking A CPA or progress toward CFA preferred, but not required An understanding of technology, specifically Software, preferably an understanding of enterprise technology Deep familiarity and experience with Microsoft Office (Word, Excel, PowerPoint) Ability to work in the New York office five days a week Primary Location Full Time Salary Range of $100,000 - $120,000.

The Katz School is seeking a highly organized and adaptable Clinical Assistant/Associate Professor of Occupational Therapy and Director of Scholarship and Research. This position will report to the Occupational Therapy Program Director. The Director of Scholarship and Research advances the university's mission, purpose, and goals by providing program-specific expertise and leadership in scholarship, research, and innovation. This role fosters a culture of academic integrity, supports accreditation and licensure compliance, and ensures that graduate outcomes meet professional, academic, workplace, and placement expectations. As an educator, role model, mentor, and facilitator, the Director focuses on doctoral-level scholarship and culminating projects, working closely with the Doctoral Capstone Coordinator to assist students in developing, refining, and enacting scholarly projects that uphold academic rigor and professional relevance. The Director also builds relationships with external research partners and nurtures professional collaboration within and beyond the university. In addition to these responsibilities, the Director actively supports department initiatives, ensuring internal consistency and alignment with programmatic accreditation standards. The position is integral in facilitating student learning within prescribed research courses, creating an educational environment that fosters innovation, responsiveness, and accountability. The Director actively participates in the assessment of student research projects, helping to ensure that students meet prescribed scholarly outcomes. The Director serves as a liaison between the occupational therapy program and potential research partners, while promoting the ongoing development of professional collaboration and scholarship across the curriculum. Position Responsibilities: INSTRUCTIONAL RESPONSIBILITIES: Fulfills assigned teaching load Participates in and contributes to assessment activities of courses/curriculum and program via a continuous improvement plan as set forth by the University Demonstrates enthusiasm for teaching and the teaching/learning process, and for individual students Facilitates student learning in accordance with prescribed course and program learning outcomes Regularly contributes to the improvement or upgrading of class materials and syllabi Follows established protocols for providing timely feedback, academic advising, and assessment of student learning Keeps regular approved office hours (for FT faculty) Mentors students and faculty as assigned by the department/program dean/chair Explores scholarly research to improve teaching and instruction Begins to explore cross-disciplinary approaches to instruction SCHOLARLY ACTIVITIES: Attends professional development activities each year, as agreed upon with supervisor in associate development plan Selects a minimum of one of the following activity areas: publishing & writing, acting as a contributor to textbooks, presenting at conferences or educational trainings, attending test-writing or accreditation activities, serving on thesis dissertation committee, or other agreed-upon professional activity OR Identifies and applies specialized research or activities related to teaching, assigned teaching area(s), or may contribute to the scholarly community/knowledge of the discipline PROFESSIONAL GROWTH AND SERVICE: Develops connections within the professional community, both inside and outside the University/Occupational Therapy program Assists with assessment, critique, and evaluation of the overall Occupational Therapy curriculum and may lead the process of revisions to the program and syllabi (if necessary) while ensuring quality Contributes/demonstrates ongoing service in at least one of the following areas: Community or Public Service Profession (member of professional organization) University/Occupational Therapy program PROGRAM SPECIFIC: Scholarship Agenda: Develop, implement, and oversee the OT department scholarship agenda and scholarship plan; revise and update when required Grants: Identify and apply for grants appropriate to the OT department scholarship agenda; partner with others within Katz school, and colleagues in the greater community for grant applications; and train/assist OT faculty to identify and apply for grants appropriate to the OT department scholarship agenda Publications: Assist and mentor OT faculty in the dissemination of their scholarship, including presentations at conferences, publications in appropriate peer-reviewed journals, books, and chapters Curriculum: Integrate research and scholarship within the OT program curriculum; assess curriculum and program outcomes Faculty: Assist and mentor faculty in developing and pursuing scholarship, including integration of research and scholarship throughout the curriculum, training and supervision of research projects, and training on grants Students: Train and mentor students in developing and pursuing scholarship, including research projects, grants, and dissemination of research Perform other duties as assigned Experience & Educational Background: EDUCATION: Must hold a research doctorate (PhD, ScD, DrPH, or OTD with a research focus) from an accredited university with experience in curriculum development, research, and supervision of graduate projects Must have demonstrated ongoing scholarly achievement, research expertise, and ability to secure research funding EXPERIENCE: Teaching experience preferred. Instructional experience must be at institutions that are Title IV funding eligible Minimum of two years supervising or mentoring student research or scholarship projects at a minimum of a master's level LICENSES/CERTIFICATIONS: Candidates who are Occupational Therapy Practitioners must be certified by the National Board for Certification in Occupational Therapy (NBCOT) as a Registered Occupational Therapist (OTR) and must hold a current New York State license (or be eligible for licensure) All other candidates must hold a valid professional license or meet any regulatory requirements applicable to their profession Must meet and maintain the qualifications and standards set forth by any accreditation body that Yeshiva University is accredited by or in the process of obtaining accreditation from, for the area of expertise and expectations of the faculty member, as set forth in regulatory documents and any professional certifications deemed necessary to meet the requirements of the teaching role Experience with online learning management systems to further engage the student learning process is desirable Skills & Competencies: Required Skills Knowledge of state, federal, and local laws/regulations relating to programs, governmental compliance, and other regulatory standards Ability to maintain academic standards Ability to work independently with general supervision Ability to demonstrate a thorough, accurate, and practical knowledge of their field or discipline Ability to interpret and evaluate the theories of their field or discipline Ability to effectively operate related equipment and machines for instructional purposes Ability to manage and work effectively in a highly ethnic and culturally diverse student and associate community Ability to use effective communication skills, both oral and written, including presentations, and effective listening skills Ability to use creative facilitation and conflict resolution skills to resolve difficult and sensitive issues Working knowledge of Statistical Software, Microsoft Office Suite Products, especially Outlook, Word, PowerPoint, Excel, Teams, and other MS Office products as needed Application Instructions: Please upload a cover letter, CV, and a list of three (3) references Salary Range: $110,000 - $110,000 About Us: ABOUT THE KATZ SCHOOL: The Katz School of Science and Health, with 1300 master's and doctoral students, is now the largest graduate school at Yeshiva University. Located in the heart of New York City, Yeshiva University is a US News and World Report Top 100 University. We are research scientists, tech builders, entrepreneurs, and patient-centered clinicians working on problems that matter. We focus on industry sectors that are central to the modern economy: Artificial Intelligence, Biotechnology, Computer Science, Cybersecurity, Data Analytics, Digital Media, and Fintech, as well as Physician Assistant Studies, Nursing, Occupational Therapy, and Speech-Language Pathology. Katz School faculty take an interdisciplinary approach to research and education, fostering the creativity, collaborative thinking, and builder mindset required to take on today's toughest problems. Over the last five years, we have launched ten master's and doctoral programs with 92% graduation rates, 100% licensure pass rates, 95% post-graduation employment in high-paying careers, and students and alumni from over 30 countries. The Katz School is a close-knit community with a big network, nestled in the heart of a big city. We are global in reach, with faculty and students from across the United States and around the world-and also deeply embedded in New York City's rich professional and social fabric. With a vibrant campus life and city at our fingertips, the Katz School is where bold, purpose-driven people come to create, connect, and explore. Read about projects at Katz. ABOUT YESHIVA UNIVERSITY: The mission of Yeshiva University - the world's flagship Jewish university - is to educate, empower, and inspire our students to become the next generation of leaders, guided at all times by our core values. We do this through a transformative, world-class, and interdisciplinary education that is deep and broad and that cultivates in our students a sense of meaning, purpose, and drive to make the world a better place - for themselves and for future generations. Equal Employment Opportunity: Yeshiva University is an equal opportunity employer committed to providing employment opportunities to all employees and candidates without regard to race, color, age, sex, national origin, disability status, or any other characteristic protected by federal, state, or local laws.

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At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations. About This Role This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale's data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions. Ideally, you'd have: Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes. A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.). At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning. Strong written and verbal communication skills, along with the ability to work effectively across teams. Nice to have: Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX. Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents. Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar. Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH. Proficiency in cloud-based ML development, with experience in AWS or GCP environments. Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments. 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. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

The Lappalainen & Sanjana Labs at the New York Genome Center (NYGC) are looking for a motivated individual to work as a Postdoctoral Research Associate within a highly creative and dynamic research team of scientists, computational biologists, bioengineers, and human geneticists. The successful candidate will be jointly mentored by Drs. Tuuli Lappalainen and Neville Sanjana at the intersection of statistical genetics and functional genomics analyses and tech development and have the opportunity to also be affiliated with New York University. About the labs The Sanjana lab works at the intersection of genomics and bioengineering. We are curious about many things and are passionate about what we do. We primarily develop new technologies for hacking and understanding biological systems. We try to learn from nature and to re-purpose what we learn to gain deeper insights into how genomes and neural systems function. In the lab, we modify genomes, perform high-throughput screens, differentiate human neurons from stem cells, watch synapses rewire, find vulnerabilities in cancer cells and have a lot of fun in the process. We aim to have a tangible impact on improving human health by creating new biological tools and fundamental biological discovery. The Lappalainen lab studies functional genetic variation in the human populations by analyzing how genetic variants affect molecular and cellular traits, and how these cellular changes contribute to genetic risk for both common and rare diseases and traits. We analyze these questions both by computational analysis of large genomic, transcriptomic and multi-omic data sets, and by experimental approaches. Our lab includes experts across the field of systems genetics, from statistical genetics and genomics to molecular genomics. About the position We are looking for a postdoctoral scientist eager to understand the impact of human genetic variation on gene expression and phenotypes at the cellular, tissue and physiological levels. This position will be at the intersection of computational and wet-lab work, with co-mentorship by both PIs and membership in both labs. The projects for the postdoctoral scientist combines cutting-edge human genetics and genome technology development, with possible projects in CRISPR and single-cell multi-omics, and its integration with GWAS and eQTL data, including novel data from projects such as Developmental GTEx. Recently, the Sanjana and Lappalainen labs developed STING-seq (Systematic Targeted Inhibition of Noncoding GWAS loci with sequencing): content/10.1101/2021.04.07.438882v1. We seek to extend STING-seq to new cell types (including primary cells) and develop next-generation genome editing approaches to answer fundamental questions in human genetics, GWAS and disease biology. In addition, we envision that the postdoctoral scientist will play a major role in developing new projects in a supportive team science environment. To be considered for this role, please provide: 1) CV with a list of publications; 2) a short summary of your present and future research interests; 3) a list of three references and their contact information with your application. The ideal candidate will hold a PhD or MD-PhD, have prior research experience in any of the following: molecular biology, statistical genetics, biochemistry, computational biology and/or functional genomics and will have prior peer-reviewed publications. The candidate will be expected to plan and carry out research tasks independently and write-up/present findings on a regular basis. This position can be tailored to a candidate with strong molecular biology skills who are looking to improve their computational skills, or to a candidate with a stronger background in computational genetics or genomics looking to develop expertise in cutting-edge experimental methods. About NYGC: A cutting-edge environment for genomics NYGC is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with the leading academic medical centers and research universities in the New York region, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Salary The pay for this position is $88,000; this includes $70,000 base pay and an $18,000 per year taxable housing allowance. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. This includes Medical/Dental/Vision for employees & dependent(s); Vacation, Holidays, Sick, and Other Leave, including a paid winter break; a 401(k) match; Life Insurance; Flexible Spending Accounts; employee Tuition Reimbursement; flexible schedules and telework options for some positions; an Employee Assistance Program; and much more. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are protected veterans and individuals with disabilities. FLSA Status - Exempt This position is eligible for visa sponsorship and relocation assistance.

The Research Assistant will support the Research Department and Principal Investigator in a variety of tasks related to data collection, literature review, project coordination, and administrative support. This position provides a unique opportunity for a highly motivated candidate. The ideal candidate is detail-oriented, organized, and interested in advancing research related to public health, neuroscience, education, or behavioral sciences. Responsibilities: Assist with literature reviews, annotated bibliographies, and reference management using tools such as EndNote. Collect, clean, and manage data from surveys Conduct preliminary data analysis using REDCap, and other statistical tools Help prepare tables, charts, and figures for presentations, manuscripts, and reports Draft and edit sections of research manuscripts, proposals, and grant applications under supervision Participate in research team meetings and provide administrative support as needed Assist in organizing community-based research events, webinars, or outreach activities Maintain research project files and track progress using project management tools (e.g., Microsoft Planner) Adhere to ethical research standards and ensure confidentiality of all data and participant information Community engagement activity (tabling at local events, contributions to social media campaigns). Perform other duties as assigned. Qualifications: Completion of Masters degree program (preferably in Psychology, Public Health, Gerontology, Neuroscience, Biology, Education, or a related field) with 2-3 years experience working on a research study from beginning to completion. Strong written and verbal communication skills Demonstrated ability to manage time effectively and meet deadlines Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint) 2 3 years working experience using REDCap statistical software is a must; and familiarity with SPSS, NVivo, or STATA software Working with human subjects research protocols and IRB processes Knowledge of or interest in Aging, Alzheimers disease or Related dementia, or health disparities research Experience working in research setting Work independently and collaboratively Preferred Knowledge & Skills: Experience in human subject research. Ability to speak/read/write a second language. Spanish Ability to communicate via phone, email, and text message. Strong organizational, interpersonal, and time management skills. Experience interacting with older adults. Ability to recruit and assist potential study participants. Participate in the preparation and delivery of presentations to disseminate study findings.

Jefferies is seeking an associate for its Software Equity Research team. The candidate will support the senior analyst in delivering extensive company and industry research, constructing detailed company and industry models, and marketing written research recommendations to clients and institutional salespeople. Responsibilities will include: Creation and maintenance of detailed company and industry models Producing in-depth written research on individual companies and sector-wide trends Development of relationships with industry contacts and company management teams Communication of stock views and industry themes to institutional investors, salespeople, and other internal constituencies within Jefferies Key qualifications: Highly detail-oriented, intellectually curious, and willing to work long hours (and the occasional Sunday) Passion for stocks, the market, and analyzing businesses Excellent written communication skills Self-motivated problem-solver Fluency in accounting and financial statement analysis At least two years of equity research experience, Software preferred Securities licensing a plus (Series 7/63 and 86/87) Primary Location Full Time Salary Range of $100,000 - $120,000.

Apply/Register Job no: 498498 Work type: Faculty Full-time Department: Katz School The Katz School is seeking a highly organized and adaptable Clinical Assistant/Associate Professor of Occupational Therapy and Director of Scholarship and Research. This position will report to the Occupational Therapy Program Director. The Director of Scholarship and Research advances the university's mission, purpose, and goals by providing program-specific expertise and leadership in scholarship, research, and innovation. This role fosters a culture of academic integrity, supports accreditation and licensure compliance, and ensures that graduate outcomes meet professional, academic, workplace, and placement expectations. As an educator, role model, mentor, and facilitator, the Director focuses on doctoral-level scholarship and culminating projects, working closely with the Doctoral Capstone Coordinator to assist students in developing, refining, and enacting scholarly projects that uphold academic rigor and professional relevance. The Director also builds relationships with external research partners and nurtures professional collaboration within and beyond the university. In addition to these responsibilities, the Director actively supports department initiatives, ensuring internal consistency and alignment with programmatic accreditation standards. The position is integral in facilitating student learning within prescribed research courses, creating an educational environment that fosters innovation, responsiveness, and accountability. The Director actively participates in the assessment of student research projects, helping to ensure that students meet prescribed scholarly outcomes. The Director serves as a liaison between the occupational therapy program and potential research partners, while promoting the ongoing development of professional collaboration and scholarship across the curriculum. Position Responsibilities: INSTRUCTIONAL RESPONSIBILITIES: * Fulfills assigned teaching load * Participates in and contributes to assessment activities of courses/curriculum and program via a continuous improvement plan as set forth by the University * Demonstrates enthusiasm for teaching and the teaching/learning process, and for individual students * Facilitates student learning in accordance with prescribed course and program learning outcomes * Regularly contributes to the improvement or upgrading of class materials and syllabi * Follows established protocols for providing timely feedback, academic advising, and assessment of student learning * Keeps regular approved office hours (for FT faculty) * Mentors students and faculty as assigned by the department/program dean/chair * Explores scholarly research to improve teaching and instruction * Begins to explore cross-disciplinary approaches to instruction SCHOLARLY ACTIVITIES: * Attends professional development activities each year, as agreed upon with supervisor in associate development plan * Selects a minimum of one of the following activity areas: publishing & writing, acting as a contributor to textbooks, presenting at conferences or educational trainings, attending test-writing or accreditation activities, serving on thesis dissertation committee, or other agreed-upon professional activity OR * Identifies and applies specialized research or activities related to teaching, assigned teaching area(s), or may contribute to the scholarly community/knowledge of the discipline PROFESSIONAL GROWTH AND SERVICE: * Develops connections within the professional community, both inside and outside the University/Occupational Therapy program * Assists with assessment, critique, and evaluation of the overall Occupational Therapy curriculum and may lead the process of revisions to the program and syllabi (if necessary) while ensuring quality * Contributes/demonstrates ongoing service in at least one of the following areas: * Community or Public Service * Profession (member of professional organization) * University/Occupational Therapy program PROGRAM SPECIFIC: * Scholarship Agenda: Develop, implement, and oversee the OT department scholarship agenda and scholarship plan; revise and update when required * Grants: Identify and apply for grants appropriate to the OT department scholarship agenda; partner with others within Katz school, and colleagues in the greater community for grant applications; and train/assist OT faculty to identify and apply for grants appropriate to the OT department scholarship agenda * Publications: Assist and mentor OT faculty in the dissemination of their scholarship, including presentations at conferences, publications in appropriate peer-reviewed journals, books, and chapters * Curriculum: Integrate research and scholarship within the OT program curriculum; assess curriculum and program outcomes * Faculty: Assist and mentor faculty in developing and pursuing scholarship, including integration of research and scholarship throughout the curriculum, training and supervision of research projects, and training on grants * Students: Train and mentor students in developing and pursuing scholarship, including research projects, grants, and dissemination of research * Perform other duties as assigned Experience & Educational Background: EDUCATION: * Must hold a research doctorate (PhD, ScD, DrPH, or OTD with a research focus) from an accredited university with experience in curriculum development, research, and supervision of graduate projects * Must have demonstrated ongoing scholarly achievement, research expertise, and ability to secure research funding EXPERIENCE: * Teaching experience preferred. Instructional experience must be at institutions that are Title IV funding eligible * Minimum of two years supervising or mentoring student research or scholarship projects at a minimum of a master's level LICENSES/CERTIFICATIONS: * Candidates who are Occupational Therapy Practitioners must be certified by the National Board for Certification in Occupational Therapy (NBCOT) as a Registered Occupational Therapist (OTR) and must hold a current New York State license (or be eligible for licensure) * All other candidates must hold a valid professional license or meet any regulatory requirements applicable to their profession * Must meet and maintain the qualifications and standards set forth by any accreditation body that Yeshiva University is accredited by or in the process of obtaining accreditation from, for the area of expertise and expectations of the faculty member, as set forth in regulatory documents and any professional certifications deemed necessary to meet the requirements of the teaching role * Experience with online learning management systems to further engage the student learning process is desirable Skills & Competencies: Required Skills * Knowledge of state, federal, and local laws/regulations relating to programs, governmental compliance, and other regulatory standards * Ability to maintain academic standards * Ability to work independently with general supervision * Ability to demonstrate a thorough, accurate, and practical knowledge of their field or discipline * Ability to interpret and evaluate the theories of their field or discipline * Ability to effectively operate related equipment and machines for instructional purposes * Ability to manage and work effectively in a highly ethnic and culturally diverse student and associate community * Ability to use effective communication skills, both oral and written, including presentations, and effective listening skills * Ability to use creative facilitation and conflict resolution skills to resolve difficult and sensitive issues * Working knowledge of Statistical Software, Microsoft Office Suite Products, especially Outlook, Word, PowerPoint, Excel, Teams, and other MS Office products as needed Application Instructions: Please upload a cover letter, CV, and a list of three (3) references Salary Range: $110,000 - $110,000 About Us: ABOUT THE KATZ SCHOOL: The Katz School of Science and Health, with 1300 master's and doctoral students, is now the largest graduate school at Yeshiva University. Located in the heart of New York City, Yeshiva University is a US News and World Report Top 100 University. We are research scientists, tech builders, entrepreneurs, and patient-centered clinicians working on problems that matter. We focus on industry sectors that are central to the modern economy: Artificial Intelligence, Biotechnology, Computer Science, Cybersecurity, Data Analytics, Digital Media, and Fintech, as well as Physician Assistant Studies, Nursing, Occupational Therapy, and Speech-Language Pathology. Katz School faculty take an interdisciplinary approach to research and education, fostering the creativity, collaborative thinking, and builder mindset required to take on today's toughest problems. Over the last five years, we have launched ten master's and doctoral programs with 92% graduation rates, 100% licensure pass rates, 95% post-graduation employment in high-paying careers, and students and alumni from over 30 countries. The Katz School is a close-knit community with a big network, nestled in the heart of a big city. We are global in reach, with faculty and students from across the United States and around the world-and also deeply embedded in New York City's rich professional and social fabric. With a vibrant campus life and city at our fingertips, the Katz School is where bold, purpose-driven people come to create, connect, and explore. Read about projects at Katz. ABOUT YESHIVA UNIVERSITY: The mission of Yeshiva University - the world's flagship Jewish university - is to educate, empower, and inspire our students to become the next generation of leaders, guided at all times by our core values. We do this through a transformative, world-class, and interdisciplinary education that is deep and broad and that cultivates in our students a sense of meaning, purpose, and drive to make the world a better place - for themselves and for future generations. Equal Employment Opportunity: Yeshiva University is an equal opportunity employer committed to providing employment opportunities to all employees and candidates without regard to race, color, age, sex, national origin, disability status, or any other characteristic protected by federal, state, or local laws.

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At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model AI Safety PhD focused on topics related to adversarial machine learning, red teaming and model alignment. Deep expertise in limit seeking security research, including deconstructing LLM architectures to identify novel attack surfaces like prompt injection, model inversion, and RAG poisoning. Proven track record of developing scalable evaluation suites and automated red teaming frameworks to move emerging academic threats into practical, real world defensive applications. Foundational research in high-stakes AI deployment, bridging the gap between AI Explainability, reliability, and the rigorous fine tuning required for real world use cases. Active contributor to the AI Safety discourse, with the ability to document technical vulnerabilities and their direct impact on model privacy, alignment, and organizational risk. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace . click apply for full job details

The Sanjana Lab at the New York Genome Center is looking for a motivated individual to work as a Research Assistant within a highly creative and dynamic research team of scientists, engineers, and life science entrepreneurs. Our team works on a diverse array of projects that span genomics, bioengineering, cancer biology and neuroscience. We focus on developing new genome engineering technologies to understand gene regulation, development, tumor biology and genetic drivers of disease. Recent work from the group has included in vivo and RNA-targeting CRISPR screens, pairing CRISPR perturbations with multiomic single-cell readouts, engineering T cell therapies and precise genome editors, and uncovering cis-regulatory elements in the human noncoding genome. We are looking for someone to join our team, work in a collaborative environment, and perform research related to genome editing, immunotherapy and functional genomics. We request that all applicants complete the skills questionnaire here before applying for the position: slab-ra Responsibilities include, but are not limited to: Plan, execute and troubleshoot complex biological experiments both independently and in collaboration with colleagues; Maintain transgenic mouse colonies (breeding, weaning, and genotyping) Techniques required for development and engraftment of human tumors in animal models, treatment with cell therapies and in vivo genetic screens: IM, IV and IP injection, orthotopic cell transplantation, bone marrow transplantation, in vivo imaging. Manage small independent projects that include molecular biology, cell culture, mouse work, expression analyses and computational biology. Not all of these skills are required but familiarity with some of them is helpful. Consult with scientific literature and other scientists as needed to better understand scientific experiments and problems, and propose solutions to emerging problems. Record and communicate findings accurately and professionally. Position Requirements: BS in Biology or related field and demonstrated experience in experimental biology. Previous experience with mouse handling. Previous experience with mouse colony management. Familiarity with IRB protocol submissions. Ability to independently collect and analyze data. Exceptional attention to detail and meticulous execution and record of experiments is essential. Motivation, scientific curiosity and commitment to work in a dynamic and highly productive working environment. Competencies Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations and delivers on commitments. Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so. Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity. Salary The salary range for this position is $46,000-55,000 per year. Base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. About the New York Genome Center The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with twelve leading academic medical centers and research universities in the New York region and beyond, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Equal Opportunity We strive to create a workplace environment that is welcoming and fair to all regardless of race, ethnicity, gender, sexual orientation, physical ability, or religion. We believe that when people of various backgrounds, life experiences, and perspectives work together in an inclusive and equitable environment we gain new and valuable perspectives that otherwise would have been missed. Valuing and supporting all NYGC employees as individuals while helping them realize their full potential is critical to promoting greater collaboration, innovation, and discovery - fostering a sense of belonging for our greatest strength, our people. We recognize that there is still work to be done that will require sustained commitment from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. The New York Genome Center takes affirmative action in support of its policy to hire and advance in employment individuals who are minorities, women, protected veterans, and individuals with disabilities. FLSA Status - Non- Exempt This position is not eligible for visa sponsorship or relocation assistance.