associate researcher ii - urology Jobs in New York

associate researcher ii - urology

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data coordinator i - tisch cancer institute

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energy research scientist

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oncology rwe/epi scientist Jobs in New York

oncology rwe/epi scientist

oncology rwe epi scientist

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

VeeRteq Solutions Inc.

<div><p><b>Data Validation Consultant</b></p>
<p><b>Experience:</b><br>
9+ Years</p>
<p><b>Location:</b><br>
Remote</p>
<p><b>Mandatory Skills:</b><br>
Strong SQL skills (preferably Snowflake SQL), Oncology experience.</p>
<p><b>What is in it for you?</b><br>
As a Data Validation Consultant you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards.</p>
<p><b>Responsibilities:-</b><br>
Strong SQL skills (preferably Snowflake SQL)<br>
Experience with metadata-driven validation frameworks<br>
Ability to write scripts for data validation and integrate them into models<br>
Familiarity with DBT (especially DBT tests)<br>
Creative problem-solving and ability to think beyond transactional tasks</p>
<p><b>Educational Qualifications:-</b><br>
Engineering Degree BE/ME/BTech/MTech/BSc/MSc.<br>
Technical certification in multiple technologies is desirable.</p></div>

Data Validation Consultant

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

New York University

<div></div><div><div><div><div><div><div>New York University: NYU - NY: Arts and Science (A&amp;S): Biology and Genomics
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>New York, NY
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Dec 12, 2025
</div></div><div><h3 class="jobSectionHeader"><b>Deadline
</b></h3><div>Dec 19, 2025 at 11:59 PM Eastern Time
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><div>The Zhou lab is seeking to fill a part-time Assistant Research Scientist position starting January 15, 2026 for a project on the fungal pathogen <i>Cryptococcus neoformans</i>. Responsibilities may include performing genome editing and characterization of phenotypes in <i>C. neoformans</i> and in <i>S. cerevisiae</i>.</div><br>
<div></div>
<div>
In compliance with NYC&rsquo;s Pay Transparency Act the annual base salary range for this position is $22/hr for 27 hours per week. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer.</div></div>
</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><div>Qualifications being sought are previous wet-lab experiences, microbiology techniques and molecular cloning skills.</div></div>
</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Application Instructions
</b></h3><div><div><div>Those interested in the position should submit a CV, cover letter, and contact information for three references.</div></div>
</div>
</div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Application Process
</b></h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div></div></div></div></div></div><p></p>

Part-Time Assistant Research Scientist (Zhou Lab)

DataAnnotation

<div>
 We are looking for an Energy Research Scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 <br/>
 <br/>
 In this role you will need to hold an expert level of physics. Other related fields include, but are not limited to: Physics and/or Applied Mathematics.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   This is a full-time or part-time REMOTE position
  </li>
  <li>
   You&rsquo;ll be able to choose which projects you want to work on
  </li>
  <li>
   You can work on your own schedule
  </li>
  <li>
   Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Give AI chatbots complex physics problems and evaluate their outputs
  </li>
  <li>
   Evaluate the quality produced by AI models for correctness and performance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fluency in English (native or bilingual level)
  </li>
  <li>
   Detail-oriented
  </li>
  <li>
   Strong grasp of classical mechanics, E&amp;M, thermodynamics, and basic quantum concepts
  </li>
  <li>
   A current, in progress, or completed Master's and/or PhD is preferred but not required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Notes
  <br/>
  <br/>
 </strong>
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 <br/>
 <br/>
 #physics
</div>


Energy Research Scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Applied Scientist, to support the development and implementation of state-of-the-art algorithms and models for supervised fine-tuning and reinforcement learning through human feedback and and complex reasoning; with a focus across text, image, and video modalities.<br>
<br>
As an Applied Scientist, you will play a critical role in supporting the development of Generative AI (Gen AI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.<br>
<br>
Key job responsibilities<br>
<ul><li>Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Gen AI</li><li>Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results</li><li>Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems</li><li>Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>PhD in computer science, machine learning, engineering, or related fields</li><li>Experience or publications related to Agentic AI applications</li><li>Programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch</li><li>Excellent problem-solving skills, with the ability to think creatively and critically about complex problems</li><li>Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams</li><li>Experience with patents or publications at top-tier peer-reviewed conferences or journals</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>
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&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<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 $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 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>

Applied Scientist, AGI

<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

Explore 11+ Oncology rwe epi scientist in New York this December. Find roles across top companies and apply now to boost your career.