associate researcher ii - urology Jobs in New York

associate researcher ii - urology

energy research scientist Jobs in New York

energy research scientist

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oncology rwe/epi scientist Jobs in New York

oncology rwe/epi scientist

part-time assistant research scientist (zhou lab) Jobs in New York

part-time assistant research scientist (zhou lab)

senior research scientist

Waypoint Bio

<div>
 <p>
  <strong>
   Scientist / Senior Scientist, Molecular and Cellular Biology
  </strong>
 </p>
 <ul>
  <li>
   Full-time position
  </li>
  <li>
   Competitive compensation (Salary, Benefits &amp; Options)
  </li>
  <li>
   430 E 29th Street, New York
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Waypoint Bio
  </strong>
  is a biotech startup building the next generation of cell therapies for solid tumors. Traditional cell therapy preclinical development faces a trade-off between
  <em>
   in vitro
  </em>
  approaches that are fast but inaccurate, and
  <em>
   in vivo
  </em>
  approaches that are accurate but slow and expensive. Using our proprietary platform combining spatial biology, pooled screening,
  <em>
   in silico
  </em>
  protein engineering, and machine learning, we can obtain both depth and breadth when screening cell therapy candidates &ndash; speed without compromising on
  <em>
   in vivo
  </em>
  accuracy. Our team is highly collaborative, interdisciplinary, and shares the mission of developing novel immune cell therapies to benefit patients' lives.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Position Summary:
  </strong>
 </p>
 <p>
  We are seeking a highly motivated, creative scientist who thrives in a fast-paced and collaborative environment. The ideal candidate will have extensive expertise in synthetic biology, molecular, and cell biology and will contribute to projects spanning genetic engineering, cell-based assays, and pooled screening. Their primary tasks will be to apply their knowledge of molecular and cell biology to design novel T cell therapies, manufacture these cell therapies, and test their function using cell-based assays. Top candidates will also have deep knowledge of synthetic biology, immunology, or cell therapy, and will be able to apply this to Waypoint&rsquo;s spatial pooled screening technology in a variety of
  <em>
   in vitro
  </em>
  systems. At Waypoint, you will work collaboratively with our team of computational and wet-lab scientists to develop new therapeutic options to treat solid tumors.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Duties and Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, execute, and troubleshoot molecular biology workflows involved in cell therapy design/testing, including cloning and genome engineering.
  </li>
  <li>
   Develop, optimize, and run cell-based assays, contributing to pipeline programs and platform development .
  </li>
  <li>
   Engineer and characterize cell therapies and synthetic biology constructs using cutting-edge tools and assays.
  </li>
  <li>
   Contribute to high-throughput screening approaches, including pooled or arrayed formats, for discovery and validation efforts.
  </li>
  <li>
   Develop and evaluate delivery strategies for genetic cargo across diverse biological systems.
  </li>
  <li>
   Actively engage in prioritizing key milestones and developing appropriate timelines.
  </li>
  <li>
   Provide conceptual input on in vivo experimental design and interpretation in a team setting.
  </li>
  <li>
   Keep detailed scientific records in an electronic lab notebook and actively contribute towards the organization of the lab.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications
  </strong>
 </p>
 <p>
  <em>
   While prior T cell experience is preferred, we also encourage applications from candidates with strong molecular biology experience in non-mammalian systems (e.g. non-mammalian model organisms).
  </em>
 </p>
 <ul>
  <li>
   Ph.D. in Molecular Biology, Cell Biology, Immunology, or Cancer Biology, or a related field. Alternatively, Bachelor&rsquo;s degree or Master&rsquo;s degree with 6 years or 4 years of relevant experience, respectively.
  </li>
  <li>
   High degree of expertise in molecular biology (e.g. Gibson cloning), genetic manipulations (e.g. CRISPR, lentivirus, etc.), RNA/DNA purification, and preparation of NGS libraries.
  </li>
  <li>
   An excellent scientific track record with published papers or recent experience in the field of molecular biology, genomics, cell biology, immunology, or related fields.
  </li>
  <li>
   Superb organizational abilities and precise scientific record keeping in electronic lab notebooks.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Experience culturing T cells
   <em>
    ex vivo
   </em>
   and using these cells for downstream assays.
  </li>
  <li>
   Practical knowledge of the immune cell therapy field, with a focus on T cell therapy.
  </li>
  <li>
   Knowledge of the interplay between the immune system and the tumor microenvironment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Send CV and cover letter to apply:
  </strong>
 </p>
 <p>
  jobs@waypointbio.com
 </p>
</div>


Scientist / Senior Scientist, Molecular and Cellular Biology

Pfizer

<div><div>Senior Manager, MED RWE/Epi Scientist</div><div></div><div>
Role Summary</div><div>
The Senior Manager, RWE/Epi Scientist, position within Medical Evidence Development (MED) Real-World Evidence &amp; Epidemiology (RWE/Epi) provides an opportunity for a collaborative epidemiologist to support real-world evidence and epidemiologic studies as part of Medical strategy across the entire drug development process. The candidate will be responsible for synthesizing the literature and contributing to the design, conduct and reporting of global epidemiologic research studies on Pfizer I&amp;I products. The Senior Manager will also be accountable for the quality, timeliness, and efficiency of all RWE/Epi deliverables in assigned product/disease area, and maintain an internal network of Pfizer stakeholders to cultivate innovation, cross-functional collaboration, and identify new opportunities for RWE/Epi to increase the value of Pfizer assets. The candidate will develop external partnerships to leverage data resources and collaboration on high priority global studies. Responsibilities include authoring and reviewing study protocols, reports, and presentations, as well as communication in writing and presentations to internal stakeholders, regulatory authorities, and medical professionals. The candidate will also be responsible for non-study deliverables such as RWE insights, epidemiology literature reviews, regulatory responses, and department initiatives.</div><div></div><div>
This position will report directly to the Hem-Onc Team Lead in RWE/Epi.</div><div></div><div>
Capabilities</div><ul><li><div>
Skill and experience identifying, designing and supporting or leading real-world evidence studies of disease epidemiology and effectiveness as part of the global cross-functional Integrated Evidence Plan.</div></li><li><div>
Maintain knowledge and awareness of internal and external data resources and identify appropriate studies for addressing questions of interest, recognizing the limitations and strengths of various design options and data sources</div></li><li><div>
Partner with Chief Medical Office colleagues to address asset team evidence needs and support global regulatory submissions to the FDA, EMA and other agencies.</div></li><li><div>
Deliver rapid insights from real-world, observational data source</div></li><li><div>
Develop and deliver presentations, webinars, manuscripts, scientific data packages or other communication modalities</div></li><li><div>
Assure the highest standards of quality, compliance and management of all research activities</div></li><li><div>
Participate in RWE/Epi peer review of study protocols and study reports</div></li><li><div>
Document all requests and track progress toward project completion, other metrics and business goals</div></li></ul><div></div><div>
Qualifications</div><ul><li><div>
PhD in Epidemiology, Statistics/Biostatistics, Health Outcomes Research, Quantitative Methods, Public Health, Health Economics, or Other Biological Science fields with a substantial quantitative component and at least 1 years of relevant experience in the pharmaceutical, academic and/or medical environment; or, MPH or another relevant Master&rsquo;s degree and at least 5 years of experience in the pharmaceutical, academic and/or medical environment, at least 1 of which were in the pharmaceutical industry.</div></li><li><div>
Demonstrated strong quantitative skills and methods expertise to generate rapid insights from real-world / observational data source</div></li><li><div>
Demonstrated strong technical writing skills and oral presentation skills with a track-record of publishing in peer-reviewed journals and presenting at medical/scientific conferences</div></li><li><div>
Demonstrated ability to convert complex analysis into meaningful insights with data visualization and presentation tools and able to manipulate and analyze complex structured and unstructured data from multiple real world evidence sources.</div></li><li><div>
Ability to work under pressure with a high level of autonomy/leadership on research projects and collaborate with multiple partners in a matrixed environment</div></li><li><div>
Knowledgeable of the external regulatory environment for real-world evidence and maintains awareness of scientific developments in epidemiology, medicine, and technology (e.g., artificial intelligence).</div></li></ul><div></div><div>
Bonus Points If You Have (Preferred Requirements):</div><ul><li><div>
Proficiency in rapid real-world data analytical platforms</div></li><li><div>
Experience working with real-world data (RWD) including Electronic Medical Records (EMR), claims, and surveys</div></li><li><div>
Excellent problem-solving and decision-making abilities</div></li><li><div>
Ability to influence and collaborate with senior management and stakeholders</div></li><li><div>
Strong project management skills with the ability to handle multiple projects simultaneously</div></li></ul><div><br>
<br>
Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.</div><div><br>
PHYSICAL/MENTAL REQUIREMENTS</div><div>
Lifting, sitting, standing, walking, bending, ability to perform mathematical calculations and ability to perform complex data analysis.</div><div><br>
Work Location Assignment: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week or more as needed.</div><div></div><div>
OTHER JOB DETAILS</div><ul><li><div>
Last Date to Apply for Job: December 29, 2025</div></li><li><div>
Eligible for Relocation Package: No</div></li></ul><div></div>
The annual base salary for this position ranges from $135,100.00 to $225,100.00.* In addition, this position is eligible for participation in Pfizer&rsquo;s Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life&rsquo;s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site &ndash; U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.<div></div><ul><li>The annual base salary for this position in Tampa, FL ranges from $121,600.00 to $202,600.00.</li></ul><div></div><div>
Relocation assistance may be available based on business needs and/or eligibility.</div><div></div><div><div><div><div><div><div><div><div><div>
Sunshine Act</div><div>
Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider&rsquo;s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.</div></div></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div><div><div>
EEO &amp; Employment Eligibility</div><div>
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.</div><div></div><div>
Pfizer endeavors to make <div>www.pfizer.com/careers</div> accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email <div>disabilityrecruitment@pfizer.com</div>. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.</div></div></div></div></div></div></div></div></div><div></div>
Medical</div><div></div>

Oncology RWE/Epi Scientist

Foundational AI Research Scientist - FAIR

Microsoft

<div><b>Overview</b><div><p><br>
Microsoft Research AI Frontiers lab is seeking applications for the position of <b>Senior Researcher &ndash; Foundations of Generative A</b>I to join their team in New York, NY.</p></div><p></p><div><p><br>
The mission of the AI Frontiers lab is to expand the pareto frontier of Artificial Intelligence (AI) capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms. Some of our projects include work on small language/action models (e.g., Phi, Orca, Fara-7B), new architectures and optimizers (e.g., Belief State Transformer, Dion), and agentic AI systems (e.g. AutoGen, MagenticOne, OmniParser).</p></div><p></p><div><p><br>
We are seeking a Senior Researcher &ndash; Foundations of Generative AI to join our team and lead efforts in discovering and building the foundations of generative AI through representations and objectives. As a Senior Researcher &ndash; Foundations of Generative AI, you will play a crucial role in leading, developing, improving, and exploring new architectures, representations, and learning objectives that unlock new capabilities and/or scalability. Your work will have a significant impact on the development of cutting-edge technologies, advancing the state-of-the-art, and providing practical solutions to real-world problems.</p></div><p></p><div><p><br>
Our ongoing research areas encompass but are not limited to:</p></div><div><ul><li>
New architectures and learning methodologies to enable always-on, proactive agents</li><li>
Test time training to support infinite context windows</li><li>
Active visual reasoning for orders-of-magnitude faster image processing/encoding</li><li>
World models of user/system interactions to enable imagination rollouts and search</li><li>
Multi-scale temporal reasoning and planning in transformer models</li><li>
Continual learning and adaptation methods that operate at human speed</li><li>
New multimodal model architectures and training methods for Vision-Language (VLM) and Vision-Language-Action (VLA) models</li>
Proactive, real-time agents for computer use, racing, and gaming<br>
<li>
</li></ul></div><p></p><div><p>The Microsoft Research AI Frontiers lab offers a vibrant environment for cutting-edge, multidisciplinary research, including access to diverse, real-world problems and data, opportunities for experimentation and real-world impact, an open publication policy, and close links to top academic institutions around the world.</p></div><p></p><div><p><br>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p><p></p><p><br>
#MSR</p></div><b><br>
Responsibilities</b><br>
<div><ul><li>
Apply research and engineering skills to develop, prototype, and evaluate cutting-edge research ideas.
</li><li>Work closely with other researchers and engineers to rapidly prototype and test new research ideas, driving a high-impact agenda and publishing results where appropriate.
</li><li>Collaborate hands-on with other researchers, engineers, and internal and external product groups to deliver high-impact solutions to real-world problems.
</li><li>Embody our culture and values.</li></ul></div><br>
<b>
Qualifications</b><p><b><br>
Required Qualifications</b></p><div><ul><li>
Doctorate (or currently pursuing) in Computer Science or relevant field<ul><li>
OR equivalent experience.</li></ul></li></ul></div><p></p><div><p><b><br>
Preferred Qualifications</b></p></div><p></p><div><br>
<ul><li>
Doctorate in Computer Science or relevant field AND 2+ years related research experience<ul><li>
OR equivalent experience.</li></ul></li><li>
Research program demonstrated by public artifacts like models, tools, code in the AI space or publications at the following conferences: NeurIPS, ICML, ICLR, ACL, NAACL, CVPR, COLT, ECCV, ICCV, EMNLP.</li><li>
2+ years of academic or industry experience in developing, applying, and/or implementing algorithms for machine learning/statistics, using common ML engineering programming languages and platforms such as Python, Python numerical libraries, PyTorch, TensorFlow and/or HuggingFace.</li><li>
Experience publishing academic papers as a lead author or essential contributor in a top AI conference or journal.</li><li>
Deep understanding of frontier model architectures, especially transformers and state space models</li><li>
Hands-on experience building and working with Large Language Models (LLMs) or multimodal models (VLMs, VLAs), including pre-training, fine-tuning, and inference</li><li>
2+ years of industry or academic experience with building, debugging and optimizing large-scale ML training pipelines.</li><li>
Demonstrated software engineering excellence building and deploying prototypes, applications, or open-source (OSS) technologies. Providing a link to a GitHub profile and/or code samples on your CV/resume, is highly encouraged.</li><li>
Ability to work independently and ramp-up quickly on complex projects or unfamiliar code</li><li>
Ability to collaborate, communicate effectively, and work as part of a multi-disciplinary team</li><li>
Keen interest in real-world applications and impact.
</li></ul><p>#MSR</p></div><br>
<br>
<br>
<p>Research Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
</p><p></p><p>Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:<br>
https://careers.microsoft.com/us/en/us-corporate-pay</p><p><br>
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

Senior Researcher - Foundations of Generative AI- Microsoft Research

Eikon Therapeutics

<div><div><p>Eikon Therapeutics is a new biopharmaceutical company employing revolutionary technology at the intersection of chemistry, engineering, computation, and biology to discover novel treatments for life-threatening diseases. Eikon's discovery platform is built on groundbreaking innovations from its founders (Nobel Prize, 2014), culminating in the creation of microscopes which enable real time, molecular-resolution measurements of protein movement in living cells, thereby unlocking otherwise intractable classes of proteins as drug targets.</p></div><p><b>
Position</b></p>
<p>
We are seeking an enthusiastic and capable Senior Research Associate 2 to join our Neuroscience research team. As a Senior Research Associate 2, you will be a key player in executing experiments to support target discovery and validation for Parkinson's Disease.</p>
<p><b>
About You</b></p>
<p>
You have a Master's or Bachelor's degree in neuroscience or a related discipline, coupled with a passion for scientific exploration.</p>
<p><b>
What You'll Do</b></p>
<ul>
<li>Execute biochemical and cell-based assays to support novel Parkinson's disease target validation.</li>
<li>Conduct experiments using a variety of cell culture, molecular biology and high-content imaging techniques.</li>
<li>Involve in troubleshooting experiments, optimizing protocols, and addressing technical challenges to ensure the accuracy and reliability of data.</li>
<li>Maintain organized and comprehensive records of experiments, results, and protocols in adherence to company standards and regulatory requirements.</li>
<li>Assist in the maintenance, procurement, and inventory management of laboratory equipment and supplies.
</li><li>Uphold a culture of safety by strictly following laboratory protocols and promoting best practices in accordance with regulatory guidelines.</li>
</ul>
<p><b>Qualifications</b></p>
<ul>
<li>Bachelor's degree in Neuroscience, Stem Cell Biology, or a related field with a minimum of 6+ years of academic and/or industry experience; or Master's degree with 4+ years of relevant experience.</li>
<li>Experience working with iPSC-derived cells or primary neurons required. Experience with complex co-culture model systems a plus.</li>
<li>Highly proficient in cell culture techniques, including primary neurons.</li>
<li>Proficiency with standard cell biology, biochemistry, protein detection &amp; quantification (such as ELISA, MSD), techniques and enzyme kinetic assays.</li>
<li>Experience with high-content imaging analysis (Harmony, ImageJ, MetaXpress).</li>
<li>Experience with data analysis and visualization tools (e.g., using Tableau, Python), or similar tools for large dataset interpretation to interpret large datasets preferred.</li>
<li>Excellent interpersonal and communication skills, enabling effective collaboration within multidisciplinary teams.</li>
<li>Highly self-motivated, proactive, and eager to learn new experimental and analytical approaches.</li>
<li>Detail-oriented, well-organized, and capable of managing multiple tasks and priorities simultaneously.</li>
<li>Familiarity with laboratory safety protocols and adherence to regulatory guidelines.</li>
</ul>
<p>At Eikon, employee compensation also includes bonus and equity compensation, in addition to several generous benefit programs, including:
</p><ul><li>401k plan with company matching
</li><li>Medical (premiums covered by Eikon at 95%), dental and vision insurance (premiums covered by Eikon at 100%)
</li><li>Mental health and wellness benefits
</li><li>Weeklong summer and winter holiday shutdowns
</li><li>Generous paid time off and holiday policies
</li><li>Life/AD&amp;D Insurance (premiums covered by Eikon at 100%) and optional supplemental employee-paid life/AD&amp;D policies
</li><li>Enhanced parental leave benefit
</li><li>Daily subsidized lunch program when on-site
</li></ul><p>The expected salary range for this role is $113,000 to $123,500 depending on skills, competency, and the market demand for your expertise.</p><div><p>
Eikon is proud to be an equal opportunity employer and will consider all qualified applicants for employment.</p>
<p>
We are currently not accepting any new third-party agencies or firms at this time. Please do not forward unsolicited agency resumes to our website, employees or Human Resources. Eikon Therapeutics will not pay fees to any third-party agency or firm associated with unsolicited resumes.</p></div></div>

Senior Research Associate 2, Neuroscience

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Sponsored Products and Brands (SPB) team at Amazon Ads is transforming advertising through generative AI technologies. We help millions of customers discover products and engage with brands across Amazon.com and beyond. Our team combines human creativity with artificial intelligence to reinvent the entire advertising lifecycle&mdash;from ad creation and optimization to performance analysis and customer insights.<br>
<br>
We develop responsible AI technologies that balance advertiser needs, enhance shopping experiences, and strengthen the marketplace. Our team values innovation and tackles complex challenges that push the boundaries of what's possible with AI.<br>
<br>
Join us in shaping the future of advertising.<br>
<br>
Key job responsibilities<br>
This role will redesign how ads create personalized, relevant shopping experiences with customer value at the forefront. Key responsibilities include:<br>
<br>
<ul><li>Design and develop solutions using GenAI, deep learning, multi-objective optimization and/or reinforcement learning to transform ad retrieval, auctions, whole-page relevance, and shopping experiences.</li><li>Partner with scientists, engineers, and product managers to build scalable, production-ready science solutions.</li><li>Apply industry advances in GenAI, Large Language Models (LLMs), and related fields to create innovative prototypes and concepts.</li><li>Improve the team's scientific and technical capabilities by implementing algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.</li><li>Mentor junior scientists and engineers to build a high-performing, collaborative team.</li></ul><br>
A day in the life<br>
As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. This is a rare opportunity to redefine how ads are retrieved, allocated, and/or experienced&mdash;elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon&rsquo;s rich data and the world&rsquo;s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science.<br>
<br>
About the team<br>
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>3+ years of building machine learning models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Demonstrated expertise in Generative AI technologies, including foundation models, LLMs, and model customization for specific business applications</li><li>Hands-on experience building ads ranking, retrieval, recommendation, or personalization systems that operate at web scale</li><li>Technical proficiency in advanced AI approaches such as multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF)</li><li>Track record of designing and implementing online experimentation frameworks, including A/B testing methodologies and performance metrics for advertising or e-commerce</li><li>Proven ability to translate complex technical concepts into clear explanations for diverse audiences, from engineers to executives</li><li>Deep knowledge of computational advertising fundamentals, including auction mechanisms, advertising economics, and advertiser success metrics</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Applied Scientist, Off-Search, Sponsored Products and Brands

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
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The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value.<br>
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Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we&rsquo;re helping businesses grow on Amazon.com and beyond!<br>
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Key job responsibilities<br>
This role will be pivotal in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to:<br>
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<ul><li>Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences.</li><li>Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life.</li><li>Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization.</li><li>Contribute to the enhancement of team&rsquo;s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.</li><li>Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team.</li></ul><br>
A day in the life<br>
As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. This is a rare opportunity to redefine how ads are retrieved, allocated, and/or experienced&mdash;elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon&rsquo;s rich data and the world&rsquo;s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science.<br>
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About the team<br>
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value.<br>
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Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we&rsquo;re helping businesses grow on Amazon.com and beyond!</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 8+ years of applied research experience</li><li>3+ years of building machine learning models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.</li><li>Experience developing and deploying models in real-world production environments.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning and customization for downstream tasks.</li><li>Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale.</li><li>Deep understanding of multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF).</li><li>Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce.</li><li>Demonstrated ability to communicate complex technical topics clearly to both technical and non-technical audiences.</li><li>Experience in computational advertising, including familiarity with auction theory, ad economics, and advertiser performance metrics.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Applied Scientist, Sponsored Products and Brands Off-Search

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