Research scientist jobs in Ridgewood, NJ - 1,443 jobs

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At Insmed, every moment and every patient counts - and so does every person who joins in. As a global biopharmaceutical company dedicated to transforming the lives of patients with serious and rare diseases, you'll be part of a community that prioritizes the human experience, celebrates curiosity, and values every person's contributions to meaningful progress. That commitment has earned us recognition as Science magazine's No. 1 Top Employer for five consecutive years, certification as a Great Place to Work in the U.S., and a place on The Sunday Times Best Places to Work list in the UK. For patients, for each other, and for the future of science, we're in. Are you? About the Role: We're looking for an In vivo Associate Scientist, Biology on the Research/Biologics Team to help us expand what's possible for patients with serious and rare diseases. Reporting to the Scientist II, Research, you'll be doing rodent handling, dosing, fluid and tissue collection as part of Insmed's in vivo pharmacology team. The In vivo Associate Scientist will collaborate closely within the team and cross-functionally to plan and execute complex in vivo pharmacology studies, develop custom animal models, and generate high quality data. What You'll Do: In this role, you'll have the opportunity to support Insmed's early-stage research pipeline, turning ideas into ground breaking medicines for patients in need. You'll also: Administer therapeutic agents to rodents through a variety of routes (including intraperitoneal, intravenous, oral, retroorbital, intrathecal, intratracheal, subcutaneous, intracerebroventricular). Perform blood collection through various routes (including submandibular, saphenous vein, tail vein, cardiac puncture). Perform necropsy, tissue collections, and perfusions. Monitor animal health, record clinical observations, and maintain accurate study records. Assist in developing, optimizing, and validating rodent disease models. Collaborate closely with in vivo team members, vivarium staff, internal project leads, and ex vivo analysis teams. Author and review protocols and electronic notebook entries. Analyze and present data to project teams. Follow institutionally approved animal protocols, IACUC guidelines, and adhere to all ethical, regulatory, and safety standards in an AAALAC accredited environment. Who You Are: Minimum of Bachelor's degree in biology, animal sciences, pharmacology or related field with 5+ years of relevant industry experience or Master's degree with 2+ years of industry experience. At least 2-5 years of prior experience with hands on in vivo research including work with rodents. Expert knowledge in standard rodent in vivo techniques (dosing, handling, restraint, sample collection) Comprehensive experience in standard fluid collection techniques including tail vein and saphenous vein. At least 2 years of prior experience with and demonstrated excellence in tissue collection and animal necropsy. At least 2 years of prior experience with and demonstrated success in executing in vivo studies. At least 2 years of prior experience with and demonstrated success in assisting with developing custom animal models suitable for a variety of disease applications. Experience with breeding and maintenance of genetically modified mouse strains. Strong attention to detail, excellent record keeping (E-note booking), and the ability to follow SOP's and protocols. Entrepreneurial spirit, proactive problem-solving attitude, and strong willingness to take on new challenges. Travel Requirements Minimal travel expected Pay Range: $103 000.00 Annual Life at Insmed At Insmed, you'll find a culture as human as our mission-intentionally designed for the people behind it. You deserve a workplace that reflects the same care you bring to your work each day, with support for how you work, how you grow, and how you show up for patients, your team, and yourself. Highlights of our U.S. offerings include: Comprehensive medical, dental, and vision coverage and mental health support, annual wellbeing reimbursement, and access to our Employee Assistance Program (EAP) Generous paid time off policies, fertility and family-forming benefits, caregiver support, and flexible work schedules with purposeful in-person collaboration 401(k) plan with a competitive company match, annual equity awards, and participation in our Employee Stock Purchase Plan (ESPP), and company-paid life and disability insurance Company Learning Institute providing access to LinkedIn Learning, skill building workshops, leadership programs, mentorship connections, and networking opportunities Employee resource groups, service and recognition programs, and meaningful opportunities to connect, volunteer, and give back Eligibility for specific programs may vary and is subject to the terms and conditions of each plan. Current Insmed Employees: Please apply via the Jobs Hub in Workday. Insmed Incorporated is an Equal Opportunity employer. We do not discriminate in hiring on the basis of physical or mental disability, protected veteran status, or any other characteristic protected by federal, state, or local law. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Unsolicited resumes from agencies should not be forwarded to Insmed. Insmed will not be responsible for any fees arising from the use of resumes through this source. Insmed will only pay a fee to agencies if a formal agreement between Insmed and the agency has been established. The Human Resources department is responsible for all recruitment activities; please contact us directly to be considered for a formal agreement. Insmed is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, please contact us by email at and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Applications are accepted for 5 calendar days from the date posted or until the position is filled.

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

A leading crypto platform is looking for a Principal Data Scientist to enhance customer experience from onboarding to product adoption. In this role, you will work cross-functionally to design and implement models that support growth. Your impact will be felt across major teams as you mentor others and lead innovative projects in data science and machine learning. The role requires in-person collaboration at the San Francisco or NYC office twice weekly, offering a competitive salary and flexible work arrangements. #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.

JAI Development is a food and beverage innovation lab specializing in product formulation and production operations management across diverse product categories. JAI Development helps emerging CPG brands reach their goals. JAI Development partners with a network of industry professionals to support these brands. The company has worked on award-winning projects at both local and national levels. Role Description This is a full-time on-site role for an Associate R&D Beverage Formulator located in Brooklyn, NY. The Associate R&D Beverage Formulator will be responsible for assisting with the formulation of new beverage products, conducting research and development activities, and utilizing laboratory skills to test and refine product formulations. Day-to-day tasks include supporting the R&D team with analytical assessments, collecting and analyzing data, and effectively communicating findings and progress within the team. Qualifications Experience in Research and Development (R&D) and strong Research skills Proficient in Laboratory Skills and Analytical Skills Excellent Communication skills Highly organized with attention to detail Bachelor's degree in Food Science, Chemistry, or related field Ability to work collaboratively and independently in an on-site setting Experience in the food and beverage industry is a plus Desire to work in a fast-paced environment, collaborating with a team of professionals. Detail oriented, striving for perfection but ability to learn from failure.

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.

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 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.

Are you an experienced Scientist - Cell-Based Assays with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Scientist - Cell-Based Assays to work at their company in Rahway, NJ. Position Summary: We're seeking a hands-on scientist to execute high-throughput cell-based assays in 384-well format. You will culture and plate cells, dispense compounds using the Echo, run diverse detection readouts, and analyze dose-response data to deliver high-quality EC50 results for discovery programs. Primary Responsibilities/Accountabilities: Maintain, expand, and plate mammalian cell lines for 384-well assays Set up and execute assays with compound dispensing via Labcyte/Beckman Echo Run and optimize detection formats (e.g., luminescence, cAMP, HTRF/TR-FRET, fluorescence) Generate dose-response curves (4-parameter logistic fits) and report EC50/IC50 with QC Troubleshoot assay performance, optimize Z' factors, and document SOPs/results Collaborate with discovery teams to prioritize studies and timelines Additional responsibilities may include setting up Western blot assays and learning how to run in-cell westerns Qualifications: BS/MS/PHD in Biology, Pharmacology, Biochemistry, or related field; BS with 5+ years, Masters with 3+ years and PHD with 1+ year of industry or equivalent lab experience. Proficiency in mammalian cell culture and 384-well assay workflows Experience with plate readers and assay platforms (e.g., cAMP, HTRF, luminescent assays) Strong data analysis skills: 4PL curve fitting, EC50/IC50 determination, and curve QC (e.g., R^2, top/bottom constraints) Detail-oriented, organized, and comfortable in a fast-paced, high-throughput environment Preferred: Experience with automation/LIQ handlers, LIMS/ELN, and statistical QC (Z', CV, S/B) Familiarity with GraphPad Prism, ActivityBase, or equivalent analysis tools Hands-on experience with Echo acoustic dispensing.

Advertising: Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers of all types to reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you're interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you've come to the right place. About our team: Our team, CreativeX optimizations, is responsible for tailoring the visual experience of ads to each context in real time. To accomplish this, we are investing in latent-diffusion models, large language models (LLM), reinforced learning (RL), Computer Vision, and related methods. Key job responsibilities We are looking for talented Applied Scientists who are adept at a variety of skills, especially with reinforcement learning and recommendations, and familiarity with LLMs, latent diffusion, or related foundational models that will accelerate our plans to dynamically optimize ad creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features, contribute to the collaborative spirit within the team, publish, patent, and bring state-of-the-art research to raise the bar within the team. Basic Qualifications - PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications - Experience using Unix/Linux - Experience in professional software development - Experience building machine learning models or developing algorithms for business application Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

A leading educational institution in New York is seeking a highly motivated Postdoctoral Researcher to contribute to advanced research in Experimental Solid Mechanics. The successful candidate will investigate material behavior under dynamic loading conditions and utilize advanced experimental techniques. A Ph.D. in relevant fields is preferred, along with strong problem-solving and communication skills. This role offers an exciting opportunity for collaboration in multidisciplinary teams. #J-18808-Ljbffr

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 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.

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.

The Satija lab at the New York Genome Center is looking for an enthusiastic and highly motivated computational biologist. We encourage applications from talented scientists, who are interested in gaining experience in a multidisciplinary, international, and dynamic research environment. The successful candidate will work closely to PhD students, postdoctoral fellows, and computational biologists in the lab to develop new statistical methods and software for the analysis of single cell datasets. This is an exciting opportunity to learn about the latest developments in the growing space of single cell genomics while contributing to new research in cancer immunology and developmental neuroscience. Job duties will include: Develop computational methods to analyze single-cell genomics datasets Contribute to the codebase, development, and support of open-source software packages Assist in data analysis and interpretation for diverse research projects Help to manage lab servers and computational infrastructure Document and present results in written or oral reports to other lab members About the Satija Lab Dr. Satija's lab studies the causes and consequences of cellular heterogeneity in complex biological systems. His group is particularly interested in single cell genomics, with active development in both the dry and wet lab. The lab integrates novel statistical and machine learning-based methods with experimental analysis in order to better understand how cells work together to drive biological processes and behaviors. BS or MS degree in bioinformatics, computer science, biology, biochemistry or similar; Excellent programming skill, for example, in R, Python, and BASH; Experience working in a Linux environment; Team oriented with excellent written and verbal communication skills; Training in statistics or machine learning preferred; Exposure or training in NGS data analysis, functional genomics and/or human genetics preferred. 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 $65,000-85,000 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 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.

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you'll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You'll get to work on projects that are fast-paced, challenging, and varied. You'll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We'll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! Key job responsibilities - Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization methods - Work closely with other scientists, engineers and product managers to expand the depth of our product insights with data, create a variety of experiments to determine the high impact projects to include in planning roadmaps - Stay up-to-date with advancements and the latest modeling techniques in the field - Publish your research findings in top conferences and journals A day in the life We're using advanced approaches such as foundation models to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative & customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external conferences. About the team Prime Video Recommendation Science team owns science solution to power recommendation and personalization experience on various Prime Video surfaces and devices. We work closely with the engineering teams to launch our solutions in production. Basic Qualifications - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

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.