Research scientist jobs in Brick, NJ - 2,977 jobs

New York or San Francisco Who we are: Our name is inspired by Theodore Roosevelt's ‘Citizenship in a Republic' speech, which pays homage to the ‘(hu)man in the Arena'. To us, entering the Arena means committing oneself fully and accepting the risk of failure in the pursuit of an audacious, worthy cause. We're a close-knit team of scientists and builders redefining the future of hardware engineering. If you share our passion for delving deep into real-world problems and solving them with fully autonomous AI, join us in the Arena. What we do: Our collective future is being built in the physical world, but the builders of tomorrow's technology can no longer rely on yesterday's tools. At Arena, we're building the world's first AI industrial engineer designed to solve the most complex hardware and manufacturing challenges. Our product, Atlas, is built with an understanding of the behavior of physical systems, powered by a superior knowledge of core domains of physics. Paired with its ability to reason about multimodal industrial data, Atlas can test, debug, optimize, and repair physical systems and products in the real world. Arena is already trusted by some of the most advanced industrial companies in the world (AMD, Bausch & Lomb), and we\u2019re rapidly already scaling into the defense, automotive, and aerospace industries, and we're just getting started. About the role: As a Principal Research Scientist, Electromagnetism, you will lead the architecture, training, and validation of our electromagnetic foundation model, bridging numerically solved physics equations, neural operators, and product-grade simulation. How you will contribute: Design FNO/AFNO/Deformation-FNO/U-FNO multiscale operator architectures with embedded physical constraints Implement causality/passivity enforcement and uncertainty calibration Proprietary Training Data Corpora Specify coverage targets Work with Arena's Platform Engineering team to orchestrate solver farms and synthetic generation Work with Arena Electrical Engineers to define a set of requirements and interface for physically-generated training data via hardware-in-the-loop test campaigns Develop sim-to-real calibration using for example VNA/near-field/BER measurements Evaluation & Validation Build automated accuracy and constraint eval suite Own releases and reporting Optimization & Performance Profile inference latency and throughput Leadership & Documentation Author design docs, experiments, and technical reports Qualifications You have: PhD or equivalent research track in Electrical Engineering, Applied Physics, Computer Science, or Applied Math Proven expertise building and training large foundation models Experience with FNO and/or Neural Operators Understanding of EM solvers (FEM/FDTD/MoM) Strong Python, PyTorch/JAX, C/C++ for bindings Proven record of physics-constrained ML or scientific simulation deployment [Preferred] Prior work on passivity/causality enforcement in learned models [Preferred] Familiar with PDN, high-speed channel design, and EMI compliance testing [Preferred] Experience and familiarity with high performance principles (e.g. Slurm for scheduling, message passing workloads, etc.), and cloud service provider HPC ecosystems (e.g. AWS Batch, Elastic Fabric Adapter, etc.) 100% of the monthly premium for Aetna medical insurance, plus vision and dental coverage 401(k) Retirement Plan Unlimited PTO Lunch every day from local restaurants via Sharebite Relocation support provided (NYC or SF) Benefits Salary: The base salary range for this position is $250,000 - $350,000 yr. However, base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we also offer competitive equity and benefits packages. Additional benefits: relocation support, health insurance options, and retirement plan offerings as listed above. #J-18808-Ljbffr

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

Job Description: the successful candidate is expected to work closely with the Portfolio Manager in all aspects of signal generation and testing, and extract insights from a catalog of alternative datasets (i.e. non price and volume based) to develop systematic macro trading models. The candidate should be able to start July 2024 (or as soon as possible) in the New York office, with a starting salary of $200,000 and an expected 2024 bonus of approximately $300,000. The candidate should be both creative and rigorous in order to detect meaningful patterns from (very) noisy data and avoid overfitting. The candidate should also feel comfortable working in a fast-moving environment and taking responsibilities for designed/developed solutions. Responsibilities Scouting datasets and helping to onboard the ones that can be useful (cleaning, point in time alignment, etc.) Building hypotheses to create a trading signal Formulating tests to validate (or invalidate) these ideas Implementing the trading signal into production if statistically significant Requirements PhD (preferably) or Masters in STEM, computer science or other quantitative discipline Eligibility and willingness to work from New York office No prior knowledge in finance is needed for PhDs Programming skills in Python Adaptable and rigorous Teamwork and communication skills Strongly Advised: Understanding of machine learning algorithms and application to time series Nice to Have: Experience with Linux

United Chemical Technology (UCT) was founded in 1986 by one of the pioneers of Solid Phase Extraction (SPE), Michael Telepchak, who is still active in the Company and continues to works with our team of talented chemist in our research and development department. UCT is a major competitor in the field of silica based phase extraction technology and silane manufacturing. UCT's mission is to establish and maintain a leadership position in the specialty chemical market for organosilicon products. Our products serve the environmental, forensics, food and beverage, clinical, pharma and cannabis industries. As a company, we consistently strive to distinguish ourselves from competitors in terms of service, pricing and quality. To accomplish this goal, we continue to invest in the best people, providing them with the finest tools available. Through excellence, UCT is committed to meeting not only the customer's needs of today but also those of tomorrow. This role involves developing applications and opportunities in our sample preparation product lines through authoring articles, white papers, posters, and technical presentations. The candidate will be a valued core member of the UCT R&D team, assisting with customer technical support, providing on-site support when required, and traveling with the sales team as needed. Key duties and responsibilities include: Drive R&D initiatives by executing laboratory project goals under the guidance of the R&D Team Manager, contributing to new product development, experimental evaluations, and preparation of application notes. Independently initiate and develop SPE applications by exploring innovative uses for existing products to expand their applicability in forensic and toxicological workflows. Staying current with emerging trends and techniques and applying UCT products to new applications for evaluation and comparison. Collaborate with Quality Control as needed to design evaluations and experiments that enhance product testing and performance. Publish at least two scientific papers or posters annually on newly developed applications of UCT products. Actively participate in professional organizations (e.g., AAFS, SOFT) to expand knowledge of SPE applications in forensic and toxicological fields. Provide timely and accurate technical support for customer inquiries and sales requests, addressing their needs effectively. Support our technical continuing education program by developing and maintaining training and workshops for the Sales Team, distributors, and customers, educating them on the effective use of UCT products and relevant forensic toxicology knowledge to enable productive sales interactions and technical discussions. Must be available to travel up to 30% of time to include applicable conferences and tradeshows, domestic/international customer visits, and distributor training. Promote a culture of safety, collaboration, and effective teamwork across the group and other company departments. Other duties as assigned. Skills & Abilities: Strong experience in sample preparation method development in an R&D environment, particularly with SPE and QuEChERs products (preferred) Proven ability to work independently in the laboratory, utilizing LC-MS/MS and GC-MS instrumentation, while applying analytical problem-solving skills. Ability to evaluate current products and recommend improvements for UCT's products and their applications. Highly adaptable and organized, capable of managing multiple projects simultaneously and delivering results on schedule. Effective collaborator and team leader, with strong communication skills to convey complex technical information and support cross-functional decision-making. Education & Experience: Bachelor's degree in Forensic Toxicology, Chemistry, or a related field, with an emphasis on chemical analysis; Master's degree preferred. Minimum of 3 years' experience in a forensic laboratory performing drug analysis and method development. Hands-on experience using sample preparation products (SPE, QuEChERS) in conjunction with GC, LC, GC-MS/MS and LC-MS/MS. Demonstrated ability to develop new methods, establish validation criteria, and define specifications. Familiarity with competitors' products and a strong interest in toxicological analysis. Awareness of current industry trends and emerging approaches in analytical method development. UCT is committed to the principles of equality in employment. It is contrary to our policy to discriminate against individuals because of race, color, creed, ethnicity, religion, ancestry, age, national origin, sex (including childbirth, or related medical conditions), sexual orientation, gender identity or expression, genetic information, physical or mental disability, union affiliation, citizenship status, marital status, pregnancy, military or veteran status or any other status prohibited by applicable federal, state or local law (“protected category”). Equal employment opportunity applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training. UCT explicitly prohibits any form of unlawful employee harassment or discrimination based on any of the characteristics mentioned above. Improper interference with the ability of other employees to perform their expected job duties will not be tolerated.

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The New to Credit Data Science team develops machine learning models for marketing, risk, and valuation. These models help our business partners make informed marketing and underwriting decisions throughout the credit card lifecycle. We prioritize advanced modeling techniques, alternative data sources, and robust infrastructure to enhance decision accuracy and efficiency. Additionally, we conduct thorough statistical analysis to generate insights that influence various business strategies. You will collaborate with data scientists, business analysts, and software engineers on all stages of model development. This work will be conducted in a supportive environment that values your contributions, encourages new responsibilities, promotes ongoing learning, and rewards innovation. Role Description In this role, you will: * Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation * Leverage a broad stack of technologies - Python, Conda, AWS, Spark, Kubeflow Pipelines, and more - to reveal the insights hidden within huge volumes of numeric and textual data * Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love * Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: * A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. * Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. * Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. * Customer first. 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. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: * A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics * A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics * A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: * Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of industry experience in data science, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) * At least 1 year of experience working with AWS * At least 3 years' experience in Python * At least 3 years' experience with building machine learning models, with at least one year of experience with building GBM models * At least 3 years' experience with SQL 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. Chicago, IL: $144,200 - $164,600 for Princ Associate, Data Science McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science 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).

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 Staff Scientist will prepare grant applications and other scientific communication materials on a wide range of genomic research topics. This role is deeply immersed in the science of NYGC and supports our research team in building and expanding a successful, independently-funded research base. They collaborate with diverse teams of students, postdoctoral fellows, and principal investigators, and relates scientific and strategic goals to individual grant opportunities and other research communications vehicles. Typical grants include individual investigator, multi-PI and research center grants. Key Responsibilities Takes a lead role in preparation and project management of individual and multi-investigator proposals; Provides advice on grantsmanship, editorial support and standardized language for administrative sections; Identifies opportunities for funding Manages the scientific writing process, including proposal management, team-building and coordination; establishing timelines and deliverables; Provides draft preparation, review and revision of grants and scientific writing. Coordinates with and supports Sponsored Research staff to ensure timely, accurate application submission. Edits manuscripts, fellowship applications, research progress reports, clinical research protocols and other research communications materials. Interacts with lab members to independently develop new grant proposals. Organizes small group meetings with lab members to review project progress, plan experiments, and integrate team data. Assists in the design and planning of functional genomics and genetic perturbation experiments; and, Assists in analysis and figure preparation of diverse types of data, including high-throughput sequencing, microscopy images, gel images, and schematic diagrams. Key Responsibilities include (but are not limited to): PhD in genetics, genomics, cancer biology, neuroscience or related discipline required; 5+ years research experience, including contributing to grant writing, required. NIH experience strongly desirable; Exceptional written communication skills required to prepare and edit competitive grant applications, publications, administrative materials, and other research communications; Ability to grasp complicated technical subjects, synthesize diverse lines of evidence and apply these abilities to technical writing required; Experience handling the scientific writing and project management process for multi-investigator and institutional grant applications strongly preferred; Experience with standard grant development concepts, practices, and procedures in a research environment preferred; Applied statistics background required, to perform power calculations and develop quantitative metrics for genomic assays; Ability to collaborate with diverse teams of investigators and administrative personnel required; and, Strong project management skills and experience required. 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 $62,000-78,000 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 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. 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.

ID 2025-3757 Category Associate Who We Are Cornerstone Research provides economic and financial consulting and expert testimony in all phases of complex disputes and regulatory investigations. The firm works with an extensive network of prominent academics and industry practitioners to identify the best-qualified expert for each assignment. With a reputation for high quality and effectiveness, Cornerstone Research has consistently delivered rigorous, state-of-the-art analysis since 1989. The firm has more than 1,000 professionals in nine offices across the United States, UK, and EU. Cornerstone Research is involved in a broad variety of high-profile projects. Current exemplary matters include claims of anticompetitive conduct, potential mergers and the impact on market competition, the impact of intellectual property infringement, allegations of misleading marketing or false claims, allegations of manipulation of financial markets, evaluation of fair merger prices, securities litigation, claims in consumer finance, anticompetitive conduct in financial markets, labor market disputes, and corporate governance issues. We cover topics in a broad range of industries including consumer goods, life sciences, high technology, energy, telecommunications, industrial markets, banking, securities, fintech, private equity, insurance, and cryptocurrency. More detail on Cornerstone Research and what we do can be found on our website: ******************** Responsibilities Associates at Cornerstone Research Associates play a central role at Cornerstone Research in developing project strategy, conducting and guiding research, directing analysis, understanding and interpreting data, and proposing effective approaches to the problems faced by their teams. Associates work closely with senior staff, clients, and experts to define objectives, guide research efforts, and mentor junior staff. Associates apply theoretical and empirical research skills gained through their graduate-level training to conduct innovative and rigorous analysis to interesting real-world problems. The outcomes of our cases regularly have a direct impact on public policy and corporate strategy. Cornerstone Research provides an interesting and rewarding work environment. Those joining our firm enjoy long-term career opportunities supported by our investments in their professional development. Career development includes staying attuned to the latest academic research, advancing one's research skills, enhancing communication skills, and building managerial abilities. The firm supports the development of those interested in becoming testifying experts, and of those not choosing that path-either approach provides opportunities for career advancement. Cornerstone Research offers a market-leading salary and benefits package with a compensation structure that escalates along the career path. Qualifications Candidate Profile We seek candidates who have pursued doctoral studies in economics, finance, accounting, or marketing, and who have graduated or will be graduating in the coming year. Candidates must have the ability to apply academic research to real-world issues. We are currently hiring in our Boston, Brussels, Chicago, London, Los Angeles, New York, Bay Area (San Francisco and Silicon Valley), and Washington, D.C., offices. Cornerstone Research will provide immigration assistance to eligible foreign nationals in accordance with the firm's immigration policy and applicable law. Cornerstone Research will provide visa support to full-time candidates. If you are applying from within the US, candidates should have at least 12 months remaining of work authorization. Interested Candidates Candidates should submit a cover letter (including location preferences), resume, and job market paper through our careers website. Please also email three letters of recommendation to: Associate Talent Acquisition Manager Email: Cornerstone Research offers a market-leading compensation and benefits package. The base salary for the Associate role with a relevant Ph.D. is $245,000 in the United States. In addition to the base salary, new Associates will be eligible for a signing bonus depending on skills, education, and experience. Associates are eligible for discretionary bonuses based on performance, firm contributions, and other factors. Previous relevant work experience will be taken into consideration in determining compensation. Information about our benefits, including health and wellness and family support, can be found on the Careers page of our website. Cornerstone Research provides Equal Employment Opportunities to all employees and applicants for employment without regard to legally protected categories, such as age, sex, gender, gender identity, race, color, creed/religious belief, medical condition, predisposing genetic characteristics or genetic information or testing, disability, marital status, pregnancy status, military status, veteran status, arrest or conviction record (except where permitted by law), sexual orientation, ethnic background, citizen status, ancestry, national origin, or any other consideration protected by federal, state or local law. Avenue Louise 54, 1000 Brussels, Belgium Connect With Us! Not ready to apply? Connect with us for general consideration.

We are seeking an Analytical Scientist to join a reputable pharmaceutical manufacturing company to conduct routine and non-routine analyses of in-process materials, raw materials, environmental samples, finished goods, or stability samples. ** No Relocation, No C2C Candidates** Pay: Up to $45/hour. RESPONSIBILITIES: Conduct and document chemical analyses for raw materials, in-process goods, and finished products. Design, validate, and resolve issues with analytical methods, including HPLC for cleaning verification. Collect and analyze equipment cleaning validation samples. Prepare Certificates of Analysis, analytical reports, and maintain lab documentation. Peer-review records and support OOS or OOT investigations as per SOPs. Ensure compliance with SOPs, cGMPs, and regulatory requirements. Assist with environmental monitoring and other tasks as assigned. QUALIFICATIONS: 2 years hands-on method development experience (HPLC) Knowledge of cGMPs, pharmacopeia (USP, EP), and regulatory standards (21 CFR Part 210/211/820, ISO). Bachelor's in Chemistry-related discipline with 2+ years of analytical lab experience. This job description is a complete list of all desired skills, but not all are required. We strongly encourage candidates who have some of the skills to apply. We look forward to a conversation to learn more about you!

We are seeking a Ph.D. for a Postdoctoral Associate with at least 2 years of experience in cancer immunology and molecular genetics. Specifically, candidates will be expected to be experienced in, but not limited to, genetic engineering approaches, qRT-PCR, cytokine profiling, immunohistochemistry, immunofluorescence, 10+ color immunophenotyping, imaging techniques, and advanced in vitro models (i.e., 3D cultures, organoids). The ideal candidate should have knowledge of ex-vivo immunological assays that can assess activation and functional status of various cell populations within the tumor (or other pathologic) microenvironments. Understanding the immunomodulatory effects associated with an engineered immune and nano-based constructs that promote enhanced therapeutic responses is desirable. Familiarity with theranostic applications in oncology and experience with in vivo immunological procedures is required. The candidate will 1) profile molecular-genetic changes affecting diseased cell populations, as against normal cells, following exposure to immune and/or particle constructs, as well as 2) utilize these readouts to inform desirable in vivo studies and combinatorial treatment strategies. The prospective candidate will be exposed to a dynamic environment focused on product translation to the clinic and will gain invaluable experience across a wide variety of subjects by working closely with a collegial, highly motivated, multidisciplinary team including immunologists, oncologists, pathologists, chemists, and materials scientists. Interested candidates should email their CV and cover letter to ***********************. Diversity is one of Weill Cornell Medicine's core values and is essential to achieving excellence in research, education and patient care. We welcome applications from candidates who share our commitment to fostering a culture of fairness, equity, and belonging. Weill Cornell Medicine is an Equal Employment Opportunity Employer, providing equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, or genetic information. Salary Range (annually): $66,200- $79,551 based on experience. Weill Cornell Medicine provides the above salary range in compliance with the New York City law on Salary Transparency in Job Advertisements. The above salary range for New York City based roles represents WCM's good faith and reasonable estimate of possible compensation at the time of posting. Industry Hospitals and Health Care Employment Type Full-time

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontier labs, enterprises, and government agencies to push Generative AI into new capabilities and applications. As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that will define this next era. You'll join a high-impact research organization driving advances in large-language models, post-training, evaluation, and agentic/RL environments, helping shape how next-generation AI is built, measured, and deployed. As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. You will: Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments). Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution. Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes. Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally. Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent. Stay deeply connected to the research community, understanding major trends, and helping set them. Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results. Ideally you'd have: 5+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains. A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.). Experience and track of recording in landing major research impacts in a fast-paced environment Experience leading or managing research teams. You're excited to mentor, coach and develop talent. Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders. 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:$239,400-$299,300 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 American Museum of Natural History is one of the world's preeminent scientific and cultural institutions, and has as its mission to discover, interpret and disseminate information about human cultures, the natural world and the universe through a wide-ranging program of scientific research, education and exhibition. The Barber Sensory Ecology Lab at the American Museum of Natural History (AMNH) seeks a Postdoctoral Research Associate to 1) analyze and publish existing diverse data sets on the consequences of intense anthropogenic (e.g., noise and light pollution) and natural (e.g., whitewater river noise) sensory environments for birds, bats, and insects; 2) collaborate on experimental design, data collection, and analysis efforts on bat-insect interactions under different light pollution regimes at the Southwestern Research Station in Portal, AZ; and 3) design and implement projects on existing large-scale data sets (including museum specimens) on the effects of sensory pollution on animal distributions. Job responsibilities include, but are not limited to: Analyze data sets and prepare data, code, and related materials for publication. Prepare manuscripts for publication including figure preparation, coauthor communication, and managing manuscripts through the journal submission process. Coordinate and perform new data collection including travel to the southwestern research station in Portal AZ. Mentor other lab members in statistical analysis and manuscript preparation. The expected salary for the Postdoctoral Research Associate is $71,181/annual. The AMNH offers an extensive benefits package designed to meet the needs of our dedicated and diverse community. Pay will be determined based on several factors. The hiring range for the position at commencement is based on the type of work and the scope of responsibilities. The salary and placement offered is based on a number of individualized factors, including, but not limited to, skills, knowledge, training, education, credentials, areas of specialization and depth and scope of experience.

Are you an experienced Biochemist - High-Throughput Screening with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Biochemist - High-Throughput Screening to work at their company in Rahway, NJ. Primary Responsibilities/Accountabilities: The Chemical Biotechnologies Group at the client is seeking an experienced researcher to support our high-throughput capabilities. The mission of the group is to invent, develop, and implement biomolecules and biocatalytic processes to advance the client's pipeline and our impact on the scientific community. This position in our biochemistry team is responsible for lysing E. coli cell pellets to liberate enzyme in solution or generate enzyme from in vitro transcription translation (iv TT) mix, setting up reactions using this solution as a catalyst solution, quenching reactions and prep them for HPLC analysis, running the HPLC, and analyzing the data generated in support of our protein directed evolution workflow. The candidate will perform high throughput workflows with 96 or 384 well formats using various automation instruments. The candidate will have hands-on, extensive experience with instrumentation essential for monitoring substrates and products profiles for reactions, especially Agilent UPLC systems. In this position, the candidate will have the opportunity to work with a diverse group of team members to effectively coordinate efforts and operate multiple projects. The candidate ensures activities of assignments are executed such that project deliverables and timelines are met. The candidate is responsible for good housekeeping and performing work in a safe manner in the work area by applicable safety equipment and personnel protective equipment (PPE). Qualifications: Bachelor's degree in Molecular Biology, Synthetic Biology, Bioengineering, Biochemistry or related field with +5 years' of experience, or MS with +2 years of experience, or PhD. Experienced in high-throughput screening and automated liquid handling (Biomek or Tecan liquid handling systems) and various analytical methods (HPLC, LC-MS, spectrophotometry, gel electrophoresis, FPLC). Proficient in preparing chemical and biochemical reactions Experience with protein handling and biochemical, biophysical, and/or phenotypic protein characterization techniques (e.g., activity assays, SDS-PAGE, UV-Vis spectrophotometry). Understanding of experimental design and data analysis principles Strong organizational skills and attention to detail Excellent teamwork and multitasking Good documentation of experimental reports Software Skills: MS office (Word/Excel) Preferred: Experience with one or more of the following: next-generation sequencing, directed evolution, protein expression or microfluidics Experience in protein characterization and purification Experience in protein expression platforms (yeast, bacillus, mammalian) is a plus Experience with data analysis using Python, R, Excel, or similar tools Industry experience is preferred.

Net2Source Inc. is an award-winning total workforce solutions company recognized by Staffing Industry Analysts for our accelerated growth of 300% in the last 3 years with over 5500+ employees globally, with over 30+ locations in the US and global operations in 32 countries. We believe in providing staffing solutions to address the current talent gap - Right Talent - Right Time - Right Place - Right Price and acting as a Career Coach to our consultants. Company: One of Our Clients Job Description: Job Title: Formulation Scientist Location: Skillman, NJ 08558 Duration: 09+ Months (Extendable) Pay Rate: $40.00 - 43.28 hourly. on W2 without benefits. Description: A Product Development Scientist role involves a wide range of activities, including developing and optimizing new product formulations and processes, conducting laboratory testing and evaluations. Key responsibilities include batching several iterations, ensuring technical accuracy in product development through stability studies, and documentation. Working with the team, time management, attention to detail, strong analytical skills, strong communication, following the timeline. FORMULATION Experience is required Consumer Products - Skin Health BA Degree 2 to 4 years' experience Awards and Accolades: America's Most Honored Businesses (Top 10%) Awarded by USPAAC for the Fastest Growing Business in the US 12th Fastest Growing Staffing Company in USA by Staffing industry Analysts in the US (2020, 2019, 2020) Fastest 50 by NJ Biz (2020, 2019, 2020) INC 5000 Fastest growing for 8 consecutive years in a row (only 1.26% companies make it to this list) Top 100 by Dallas Business Journal (2020 and 2019) Proven Supplier of the Year by Workforce Logiq (2020 and 2019) 2019 Spirit of Alliance Award by Agile1 2018 Best of the Best Platinum Award by Agile1 2018 TechServe Alliance Excellence Awards Winner 2017 Best of the Best Gold Award by Agile1(Act1 Group)

Responsibilities: Conducting proprietary research evaluating drug pipelines by analyzing scientific literature, attending medical conferences, and speaking with key opinion leaders Building and maintaining financial models Writing research reports for initiations of coverage, analysis of data, and industry/company news Conceiving and executing on differentiated project ideas Interfacing with company management teams, internal sales and trading personnel, and institutional investors Qualifications: Advanced degree (PhD/MD) in life sciences preferred, though not required; a strong academic track record is essential. Proficiency in written/verbal communication 1+ year's experience in biopharmaceuticals equity research Experience building financial models using excel a required on-the-job skill; prior experience is a plus Motivated, hard-working, team player Primary Location Full Time Salary Range of $135,000 - $165,000.

Your work will change lives. Including your own. The Impact You'll Make As a key member of Recursion's portfolio-facing data science team, you will be at the forefront of reimagining drug discovery from first principles using Recursion's massive data and compute capabilities. You will be the primary computational lead for multiple IND and clinical stage drug development programs and will be expected to use platform and patient data to advance our most promising therapeutic candidates through clinical trials. You will be responsible for the evaluation of therapeutic hypotheses using internal and external data to identify candidate biomarkers to measure in translational studies and in phase I-II clinical trials. This is a highly collaborative role: you will partner with biologists, clinicians, platform and data engineers, and translational experts to develop and scale methods that bring patient insights and reverse translation to the forefront of our medicines portfolio. The ideal candidate has strong stakeholder management, the ability to independently scope and prioritize with ambiguous or conflicting information, and is motivated to look under every stone to do the right thing for patients. In this role, you will: * Evaluate the molecular evidence for predictive and PD biomarker hypotheses in translational models and clinical samples (DNA, RNA, ct DNA, and novel exploratory modalities) * Pilot novel methods for patient stratification and indication selection or expansion * Deliver biological insights on therapeutic candidates and disease biology from the analysis of high dimensional (phenomics, transcriptomics, patient-derived) datasets * Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients * Industrialize analysis approaches to not only solve for the current project, but also accelerate future projects and scale the impact that we can have * Collaborate cross-functionally with Recursion's data science, platform, ML and clinical teams to further advance Recursion's ability to leverage our own clinical data in meta-analysis, hypothesis generation, and reverse translation The Team You'll Join Our group is a bold, agile, diverse collective of computational drug discovery scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace. You will work extensively with scientists across the organization to advance milestones, provide insights, and drive decisions that advance Recursion's capabilities and increase our likelihood of success. Essential attributes for this role include a bold, execution-first attitude and passion for deploying rigorous science to develop life-changing medicines. We partner closely with biologists, translational scientists, and clinicians to design and execute decisional data analysis for multiple programs. We are responsible for data strategy across the portfolio and are supported by computational leadership in designing scalable and reproducible experiments that advance multiple programs at once. Our team works closely with computational biologists in other therapeutic areas (neurobiology, immunology and inflammatory diseases, etc.) as well as data scientists and engineers from our core platform teams to provide a strong network of feedback and support. The Experience You'll Need * PhD in a relevant field (computational biology, systems biology, bioinformatics, cancer biology, immuno-oncology, etc.) with a very strong computational focus and 3+ years of experience in biotech or pharma industry OR MS in a relevant field and 5+ years of experience in biotech or pharma industry solving fundamental problems in oncology or drug discovery * Experience with high dimensional patient biomarker data from clinical trials in oncology * Strong understanding of patient genetics and druggability of disease relevant pathways * Experience applying computational methods (including probabilistic, statistical, and/or machine learning techniques) to analyze and integrate complex biological and/or human clinical data in a high level programming language such as Python or R * Deep expertise in the analysis and data integration of two or more 'omics data modalities (phenomics, transcriptomics, proteomics, genomics) including experience with matched clinical and molecular patient data * Exceptional data visualization skills * Excellent cross-functional communication skills, including an ability to explain complex scientific concepts to a variety of audiences using a combination of plots, documents, and presentations Nice To Have: * Experience with late stage drug discovery and IND submission * Experience collaborating cross-functionally with biometrics, statistical sciences and clinical pharmacology departments Working Location & Compensation: This is an office-based, hybrid role in either our Salt Lake City, UT or New York City, NY offices. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $151,800 to $216,300 (USD). You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-EP1 The Values We Hope You Share: * We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. * We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. * We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. * We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. * We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. * We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at ****************** or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

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.

Cellectis' Clinical Sciences (CS) organization is seeking a highly motivated and experienced clinical Research Scientist to support the both the development and execution of our innovative proprietary UCART allogeneic CART cell therapies programs. The Director, Clinical Research Scientist participates in design and implementation of the development strategy and supports the Clinical Science Physicians with various deliverables necessary for effective and efficient planning and execution of their assigned program. Additionally, the successful candidate in this role would also be responsible for working closely with the Clinical Operations Team to support the development of clinical development processes, templates and potentially training and management of junior clinical research scientists. Job Responsibilities Supports the clinical development of assigned programs and participates and supports the design and implementation of the development strategy Provide scientific input into design & implementation of clinical trial(s), their delivery, clinical data review and data cleaning, interpretation of results, reporting successfully on time, and activities required for worldwide registration of the product (i.e. clinical input to NDA/BLA) The Global Development Scientist Director may also provide expert input or lead functional process improvement initiatives and provide contributions to cross-asset or cross-tumor area working groups depending on the level of experience May co-lead study team meetings in partnership with Clinical Operations study lead Supports the clinical/medical monitoring and associated documentation; attends and represents the clinical sciences organization on various sub-teams or other appropriate forums, act as primary point-of-contact for clinical study or program for clinical science related activities, and providing clinical science inputs into study safety reporting. Clinical Scientists are likely to have regular external interactions with a variety of internal and external partners and stakeholders, such as cooperative groups, key opinion leaders (KOLs), clinical investigators, clinicians, scientists as well as multidisciplinary internal groups. They may also, alongside the Clinical Sciences Physician, participate in external interactions with health authorities (HAs) Provides strategic clinical science support for assigned studies and programs Collaborate cross-functionally to develop Protocol and ICF documents / amendments and present these to governance committee and early clinical development team meetings as required May author and/or review clinical narratives in conjunction with pharmacovigilance in collaboration with Data Management will develop Data Review Plan, and monitor clinical data for specific trends, ensure CRF design adequately supports data collection in alignment with the protocol in collaboration with Data Management/Programming Develops and/or provides input for clinical presentation slides and other materials for internal/external meetings (e.g., DSMB, EOC, site and CRA training for SIV and investigator meetings) and/or ongoing communications for review/discussion in concert with Clinical Science Physicians In concert with Clinical Sciences Physicians provide clinical contributions to internal documents and presentations including clinical study reports (CSRs) and clinical portions of Regulatory Documents (e.g., IB, DSUR, PSUR, Orphan Annual Reports, HA, EC, IRB responses and contribute to regulatory submission); as well as external publications (abstracts, posters, manuscripts) As appropriate, participates in ongoing enhancements/development of team processes, structures, systems, tools, and other resources; As appropriate, coaches and guides less experienced Clinical Scientists Where applicable, may manage one or more direct reports and is, in such instances responsible for hiring, training, developing, and retaining talent on his/her staff. As appropriate, participates in competitive intelligence and/or other market/industry assessment activities and projects Maintains scientific and clinical knowledge in the specific therapeutic and disease area(s) of assignment Core Competencies Strong interpersonal, verbal communication and influencing skills: can influence without authority and is willing to cultivate relationships with key partners and stakeholders, both internally and externally Outstanding written communication skills Strong analytical and presentation skills: effective at summarizing and presenting the key considerations and decision-points Comfortable working in fast paced entrepreneurial environment Ability to travel up to 20% Education and Experience Advanced degree in Life Sciences (MD, PhD, Pharm D, MS, RN or similar scientific field preferred) Minimum of 5 years pharma/biotech industry experience in clinical development in oncology/hematology clinical trials experience in CAR T-cell therapy is preferred Experience in data review, data cleaning, managing and interpreting clinical trials results as well as exposure to writing protocols Possesses sound foundational knowledge of FDA and other major country regulations and detailed knowledge of Good Clinical Practice other regulations governing clinical research Physical Requirements In office 4 days per week, required Sedentary, desk position Salary Range $175,000-225,000 (final salary is dependent on candidate's experience and credentials)

Job Title: Scientist II- Immunology Anvia Therapeutics is a dynamic and innovative biotech company dedicated to developing small molecule inhibitors targeted at treating inflammatory and autoimmune diseases. We foster a collaborative environment where scientific excellence and creativity drive our mission to develop impactful medicines. Job Summary We are seeking a highly motivated immunology Scientist to drive hypothesis-driven in vitro immunology research in a fast-paced and innovative drug discovery environment. The successful candidate will design, develop, and execute complex cellular assay systems, including primary human immune cells, patient-derived samples, and disease-relevant cell lines to support immune pharmacology and mechanism-of-action (MoA) studies across inflammatory disease programs such as IBD, rheumatoid arthritis, and dermal inflammation. Responsibilities Key Responsibilities Design and execute hypothesis-driven cellular assays to support immune pharmacology, target validation, and MoA studies. Develop, optimize, and validate complex in vitro assay systems using primary immune cells, patient-derived samples, and disease-relevant or engineered cell lines. Perform functional immune assays including cell activation, proliferation, cytokine production, signaling, and cytotoxicity, using both primary and cell-line-based systems. Contribute to immune pharmacology assessments, including compound potency, pathway modulation, selectivity, and translational relevance. Apply a strong mechanistic understanding of immune and inflammatory signaling pathways to guide assay design and data interpretation. Utilize flow cytometry, ELISA/MSD/other cytokine/chemokine profiling techniques, protein- and signaling-based assays, and related techniques to generate high-quality, reproducible data. Analyze, interpret, and clearly communicate experimental results to project and leadership teams. Troubleshoot and refine experimental systems to improve robustness, scalability, and biological relevance. Maintain accurate experimental records using electronic laboratory notebooks. Collaborate closely with lead discovery, chemistry, translational, and external partners to advance program milestones. Stay current with emerging immunology technologies and incorporate innovative methodologies where appropriate. Qualifications Required Qualifications PhD in Immunology, Biology, Biotechnology, Molecular Biology, or a related field with 2+ years of relevant experience. Hands-on experience developing and executing complex cellular assays using primary immune cells, patient-derived samples, and cell line-based systems. Experience working with functional immune readouts, including flow cytometry-based phenotyping and signaling assays, and cytokine measurement (ELISA/MSD/other). Demonstrated expertise in protein-level analysis of signaling pathways, including Western blotting and related biochemical techniques used to assess pathway activation, inhibition, and mechanism of action. Strong understanding of cell signaling pathways relevant to immune and inflammatory biology. Proven ability to independently design experiments, troubleshoot assays, and manage multiple priorities. Proficiency with data analysis and visualization tools (e.g., GraphPad Prism, FlowJo, Excel). Excellent written and verbal communication skills. Preferred Qualifications Experience supporting immune pharmacology and MoA characterization in early drug discovery. Background in inflammatory or autoimmune disease biology (IBD, RA, dermatology preferred). Familiarity with assay validation, quantitative potency assessment and translational biomarker analysis/ identification. Experience working in a fast-paced, innovative biotech environment. Why Join Us? Be part of a passionate team making a difference in biotech innovation. Collaborative and dynamic work environment. Hands-on experience with state-of-the-art technologies. Opportunities for professional development and advancement. Competitive compensation and benefits. The salary range for this position is $115,000-$150,000 per year. The actual compensation offered will be based on factors such as relevant experience, education, and skills. In addition to base salary, we offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan options. Anvia Therapeutics is an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, creed (religion), color, national origin, sex (including gender identity and sexual orientation), age, disability, marital status, citizenship status, military status, genetic information, or any other characteristic protected by federal, state, or local law. Our employment decisions are based on merit, qualifications, and business needs. We are committed to providing a work environment free from discrimination, harassment, and retaliation, and we undertake affirmative action efforts to promote equal opportunity for all employees and applicants. #LI-DNI