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clinical research assistant-ccto Jobs in New York

clinical research assistant-ccto

data engineer

research scientist

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>New York, NY, USA; London, UK; Atlanta, GA, USA; Mountain View, CA, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>PhD degree in Computer Science, a related field, or equivalent practical experience.<br>
</li>
<li>4 years of experience with research agendas across multiple teams or projects.<br>
</li>
<li>One or more scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>2 years of experience in coding and leading multiple research efforts and influencing research direction.<br>
</li>
<li>Experience in machine learning methods including foundation models and Large Language Models (LLMs).</li>
<li>Experience with Flume C++ and its low-level details.</li>
<li>Knowledge of Google Infrastructure, including Borg and CNS.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.</p><p>
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.</p>
<p>
Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.
<br>
<br>
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field - we publish regularly in academic journals, release projects as open source, and apply research to Google products.</p><p>
For United States Applicants:</p><p>
The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p><p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Author research papers to share and generate impact of research results across organization and in the research community.<br>
</li>
<li>Assist in research growth by sharing research trends and best practices within the community by reviewing academic papers, and serving on program committees and grant panels.<br>
</li>
<li>Deliver on large portions of a project by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.<br>
</li>
<li>Identify new and upcoming research areas by interacting with potential external and internal collaborators. Develop long-term research strategy and plans to expand the impact of Google research.<br>
</li>
<li>Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them.<br>
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Research Scientist, Omega Data

UX Research Scientist, Reality Labs

New York University

<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>Sep 16, 2025
</div></div><div><h3 class="jobSectionHeader"><b>Deadline
</b></h3><div>Sep 20, 2025 at 11:59 PM Eastern Time
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><div>The Ercan lab at NYU Biology is looking for a highly motivated and independent individual to work as a Postdoctoral Associate.</div><br>
<div></div>
<div>
This position is for a post-PhD trainee preparing for a research scientist career path. The planned position will provide a transition to career independence through the development of professional skills; supervision by senior scientist incorporating individual development plan in support of training goals and those of faculty mentor; and publication of research findings/scholarship during postdoc appointment period.</div><br>
<div></div>
<div>
Projects in the Ercan lab are in the research area of chromatin structure and gene regulation during development. Planned projects use <i>C. elegans</i> as a model organism and employ high-throughput functional genomic methods.</div><br>
<div></div>
<div>
In compliance with NYC&rsquo;s Pay Transparency Act, the annual base salary range for this position is $62,500. 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>The ideal candidate will hold a PhD, have prior research experience using <i>C. elegans</i> and RNA-seq data analysis, and a track record of peer-reviewed publications.</div></div>
</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Application Instructions
</b></h3><div><div><div>Please upload your application materials via Interfolio. Include the following items: 1) CV including a list of publications; 2) a short summary of your present and future research interests; 3) a list of three references and their contact information.</div></div></div></div></div></div>

Postdoctoral Associate (Ercan Lab)

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>9/15/2025</p>
</div><div><p>Description</p>
<div>Senior Data Scientist, AI Foundations<p>
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.</p><p><br>
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.</p><p><b>
Team Description</b></p><p>
AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One&rsquo;s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One&rsquo;s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies.</p><p><b>
In this role, you will:</b></p><ul><li>
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money.</li><li>
Leverage a broad stack of technologies &mdash; Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data.</li><li>
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.</li><li>
Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals.</li></ul><p><b>
The Ideal Candidate is:</b></p><ul><li>
Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it&rsquo;s about making the right decision for our customers.</li><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.</li><li>
Technical. You&rsquo;re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms.</li><li>
Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences.</li><li>
You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF.</li><li>
You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products.</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration</li></ul></li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Master&rsquo;s Degree in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics), or PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
Experience working with AWS</li><li>
At least 2 years&rsquo; experience in Python, Scala, or R</li><li>
At least 2 years&rsquo; experience with machine learning</li><li>
At least 2 years&rsquo; experience with SQL
</li></ul><p>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
New York, NY: $145,100 - $165,600 for Sr Assoc, Data Science<br>
<p></p>
San Jose, CA: $145,100 - $165,600 for Sr Assoc, Data Science<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p>
Senior Data Scientist, AI Foundations<p>
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.</p><p><br>
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.</p><p><b>
Team Description</b></p><p>
AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One&rsquo;s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One&rsquo;s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies.</p><p><b>
In this role, you will:</b></p><ul><li>
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money.</li><li>
Leverage a broad stack of technologies &mdash; Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data.</li><li>
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.</li><li>
Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals.</li></ul><p><b>
The Ideal Candidate is:</b></p><ul><li>
Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it&rsquo;s about making the right decision for our customers.</li><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.</li><li>
Technical. You&rsquo;re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms.</li><li>
Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences.</li><li>
You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF.</li><li>
You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products.</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration</li></ul></li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Master&rsquo;s Degree in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics), or PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
Experience working with AWS</li><li>
At least 2 years&rsquo; experience in Python, Scala, or R</li><li>
At least 2 years&rsquo; experience with machine learning</li><li>
At least 2 years&rsquo; experience with SQL
</li></ul><p>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
New York, NY: $145,100 - $165,600 for Sr Assoc, Data Science<br>
<p></p>
San Jose, CA: $145,100 - $165,600 for Sr Assoc, Data Science<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>
</div><div><p>Salary</p><p>
145,100.00 - 165,600.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Senior Data Scientist, AI Foundations

Uber

<div><b>About the Role</b>
<br>
<br>
Have you ever ordered a car service on Uber, and when the ride arrives, wondered how it got to you so fast? Ever ordered food on UberEats and wondered where the driver was before receiving your order and how long it took to get to the restaurant or if your order was ready when the courier arrived? Ever wondered why your grocery delivery from Uber always has the best apple picked?
<br>
<br>
If so, Uber is for you. In our ML and Science division, we strive to make magic within Uber's marketplace. This requires judgment to make difficult trade-offs, blending algorithms with human resourcefulness, and the ability to build simplicity from complexity. When we get the balance right for everyone, Uber magic happens. We build systems to peer into the future to craft the most cost-efficient marketplace for matching supply and demand. We are passionate about using innovative economics, machine learning, and scalable distributed software that automates and optimizes every aspect of this intricate dance between participants of the marketplace.
<br>
<br>
We are involved in every stage of the product development cycle and use data to inform product decisions, build models to power our solutions, and also develop platform tools that are used across teams with a primary focus on Mobility and Delivery. We work with millions of earners across the globe to make this magic happen and want you to join us!
<br>
<br>
<b>About the Team</b>
<br>
<br>
Earners (drivers and couriers) are an integral part of Uber's multi-sided marketplace. They provide the time and the means to move people and things. Importantly, they enable the connection between the physical and digital world to make the movement happen at the push of a button for everyone, everywhere.
<br>
<br>
Within Uber, Earner Growth plays a critical role in earners' journey as the team is responsible for earner onboarding, activation, early life cycle, and resurrection. This presents the teams with the opportunity to shape and tailor the product experience during earners' many firsts (i.e., first time interacting on the Uber platform, choosing the earning opportunity, going online, receiving incentive offers, completing a trip, or reading the earnings summary). These firsts can be daunting.
<br>
<br>
Therefore, making sure that the earner journey is great at every touch point is important to build trust with Earners, communicate Uber's value proposition, and ensure each firsts to be a great experience.
<br>
<br>
<b>What You'll Do</b>
<ul><li>Build statistical, optimization, and machine learning models
</li><li>Develop innovative new earner incentives that earners for choosing our network and optimizing Uber's new earner incentives spend
</li><li>Optimize Uber's background check spend and onboarding funnel
</li><li>Design recommendation engines to recommend the most relevant earning opportunities and early lifecycle content
</li><li>Develop matching algorithms for driver to driver mentorship program
</li><li>Model and predict earner behaviors to improve earner experience throughout the onboarding funnel
</li><li>The team employs a variety of ML/AI techniques, spanning from causal ML meta learners, supervised ML, RL multi-armed bandits, genAI LLM to deep learning embeddings to build impactful data products.
</li><li>Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction.
</li><li>Collaborate with cross-functional teams such as product, engineering, operations, and marketing to drive ML system development end-to-end from conceptualization to final product.
</li></ul><b>Basic Qualifications</b>
<ul><li>PhD or equivalent experience in Computer Science, Machine Learning, Operations Research, Statistics, or other related quantitative fields or related field
</li><li>4 years minimum of industry experience as a Machine Learning Engineer/Research Scientist with a strong focus on deep learning and probabilistic modeling.
</li><li>Proficiency in multiple object-oriented programming languages (e.g. Python, Go, Java, C++).
</li><li>Experience with any of the following: Spark, Hive, Kafka, Cassandra.
</li><li>Experience building and productionizing innovative end-to-end Machine Learning systems.
</li><li>Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design.
</li><li>Experience working with cross-functional teams(product, science, product ops etc).
</li></ul><b>Preferred Qualifications</b>
<ul><li>5+ years of industry experience in machine learning, including building and deploying ML models.
</li><li>Publications at industry recognized ML conferences.
</li><li>Experience in modern deep learning architectures and probabilistic modeling.
</li><li>Experience with optimization techniques, including reinforcement learning (RL), Bayesian methods, causal ML meta learners, genAI LLM.
</li>Expertise in the design and architecture of ML systems and workflows.<br>
<li>
</li></ul><br>
<br>
For New York, NY-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

Sr. Machine Learning Engineer, Earner Growth

<div><div><div><div>New York University: NYU - NY: Arts and Science (A&amp;S): Arthur L. Carter Journalism Institute
</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>Sep 10, 2025
</div></div><div><h3 class="jobSectionHeader"><b>Deadline
</b></h3><div>Sep 26, 2025 at 11:59 PM Eastern Time
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description<br>
</b></h3><p></p><div><div><p><b>Hidden Legacies: Slavery, Race, and the Making of 21st Century America</b>, a research initiative of the Arthur L. Carter Journalism Institute at NYU, is seeking a part-time Associate Research Scholar to contribute to the growth of our project. Hidden Legacies examines the connections between slavery and contemporary institutions and brings journalists, scholars, students and communities together to promote and produce archival research and reporting that illuminates the experiences of people of color in the United States. At the core of this initiative is the Hidden Legacies Student Research Lab at NYU, which works with students and historians to uncover original documents that connect institutions and slaveholding, and conducts archival and contemporary research to unearth and examine lynching cases in Northern and Western states in the United States. Hidden Legacies currently receives support from NYU and is seeking foundation funding to expand its operations.</p>
<p>
The Associate Research Scholar position is a part-time contract position &ndash; 10 to 20 hours a week &ndash; with NYU. It is grant-funded for one year from the start of the job, with the possibility of an extension based on performance and additional foundation funding.</p>
<p>
The Associate Research Scholar of Hidden Legacies will have the following major responsibilities:</p>
<ul><li>Manage the day-to-day operations of the Hidden Legacies Research Lab, including creating and providing research training materials for student researchers.</li></ul>
<ul><li>Supervise the research of research lab participants, including undergraduate and graduate students and consultants. This would involve reviewing assignments and holding weekly and/or biweekly meetings with team members on Zoom and/or in person.</li></ul>
<ul><li>Conduct and oversee research on slavery and institutions as well as on lynching cases in Northern and Western states, utilizing primary and secondary source material, including historical records that document slave sales, mortgages, insurance polices and racial violences. Supervise students and other team members doing similar research.</li></ul>
<ul><li>Research, write, edit and post material to the Lynchings in the North website, which is currently up and running, and the digital slavery archive, which is currently in development.</li></ul>
<ul><li>Conduct research into digital archive best practices and support software (AI, transcription, etc)</li></ul>
<ul><li>Plan research related events, including panel discussions and conferences.</li></ul>
<ul><li>Initiate contacts with relevant researchers, collections and other groups in the field and develop collaborations for document sharing and other research activities.</li></ul>
<ul><li>Spearhead fundraising efforts, including contacts with potential donors, writing funding proposals, and coordinating with NYU&rsquo;s development office.</li></ul>
<ul><li>Write and file required reports with funders.</li></ul>
<ul><li>Manage budget in collaboration with the Carter Journalism Institute&rsquo;s administrative officers, ensuring accurate tracking and projection of expenditures.</li></ul>
<ul><li>Represent Hidden Legacies at university and professional events.</li></ul>
<ul><li>Occasional travel to conferences and events required.</li></ul><br>
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<p><b>
In compliance with NYC&rsquo;s Pay Transparency Act, the annual base salary range for this position is $50/hr - $60/hr.</b><b> 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</b>.</p></div><br>
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</div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><p>Excellent research and writing skills and analytical ability are required, as is hands-on experience with WordPress and Omeka S software and experience working with or creating metadata standards for complex data sets. A Master&rsquo;s degree and experience with archival research are an advantage but not required.</p></div>
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</div></div><div><div><h3 class="jobSectionHeader"><b>Application Instructions<br>
</b></h3><p></p><div><div><p>Please submit your resume, cover letter, and references here.</p></div></div></div></div></div><p></p>

Associate Research Scholar at NYU’s Hidden Legacies Research Initiative

Mount Sinai Health System

<div><b>Description</b><p><b>
Details of Research Project</b>: Postdoctoral fellowship focused on projects to reduce the burden of global cardiovascular disease, by designing and performing randomized clinical trials. The aim of the research team is to reduce the future risk of obesity, heart attacks, strokes and type 2 diabetes, as well as address atrial fibrillation and other common cardiovascular comorbidities. To ensure this, the fellow will leverage data from various large randomized clinical trials that are being designed/ongoing in the Institution and will deepen his knowledge on research methodology, cardiovascular clinical trials design and manuscript preparation for high-impact journals. The two main ongoing trials are the PRECAD and the reintervention trial for the FAMILIA cohort (FAMILIA-REUNION), in which the fellow will play an active role in the design, organization and scientific curation.</p><b><br>
Responsibilities</b><p><b>
Technical Duties</b>: (include any protocols)</p><ul><li>Assisting in the design and follow-up of randomized clinical trials.</li><li>Assessing the health promotion interventions.</li><li>Guaranteeing data protection and compliance with data protection and transfer laws.</li><li>Devising plans for and assessing the participants involved in the study.</li><li>Managing research data; helping to reply to queries related to the institutions financing the research projects, requesting program updates.</li><li>Preparing publications for submission to high-impact journals.</li><li>Organizing and giving presentations.</li><li>Collaborating in subsidy applications for the different projects</li></ul><b><br>
Qualifications</b><p>
Educational and other Requirements for the position:</p><p>
The position requires a candidate with a minimum of four years of research experience, ideally in clinical or translational cardiovascular research. A strong background in clinical trial coordination, advanced imaging techniques, and data analysis is essential. Familiarity with LDL-lowering therapies and cardiovascular prevention strategies will be highly valued. The candidate should also demonstrate competence in scientific writing and communication, and have experience working in interdisciplinary and international research environments. Training in Good Clinical Practice (GCP) and the ability to manage multi-center studies are considered important assets for successful performance in this role.</p><p></p><p><br>
Experience Required:</p><p>
Applicants must have at least four years of hands-on experience in biomedical or clinical research, preferably within the field of cardiovascular prevention or lipid metabolism. Experience with electronic data capture systems, regulatory documentation, and image-based analysis of atherosclerosis (e.g., 3D vascular ultrasound) will be critical. The candidate should also be comfortable working in collaborative international teams and coordinating with multiple study sites. Previous publications, leadership in sub-studies, or participation in multicenter research consortia will be considered strong indicators of preparedness for this position</p><p></p><p><br>
Goals/Outcomes of the Research Project:</p><p>
The PRECAD clinical trial aims to assess the long-term benefits of early, intensive LDL-cholesterol lowering in young adults at high cardiovascular risk. The primary goal is to compare the progression of atherosclerotic plaque volume over five years using 3D vascular ultrasound between patients receiving standard care and those undergoing intensive intervention, including inclisiran. Secondary objectives include evaluating major cardiovascular events, changes in lipid profiles, and treatment adherence. Exploratory analyses will focus on biomarkers, cumulative LDL exposure, and subgroup effects (e.g., familial hypercholesterolemia). This research seeks to inform future clinical guidelines and shift preventive strategies to younger populations.</p><p>
The reintervention in the FAMILIA cohort (FAMILIA-REUNION) is expected to improve health literacy and habits in the short and medium term. In the longer follow-up, objective endpoints such as blood biomarkers will be assessed. The researcher will engage in other projects proposed by his supervisor as well.</p><p></p><b><br>
Employer Description</b><p><b>
Strength through Unity and Inclusion</b></p>
<p>
The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai&rsquo;s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.</p>
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At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.</p>
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About the Mount Sinai Health System:</b></p>
<p>
Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time &mdash; discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients&rsquo; medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News &amp; World Report's Best Hospitals, receiving high &quot;Honor Roll&quot; status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News &amp; World Report&rsquo;s &ldquo;Best Children&rsquo;s Hospitals&rdquo; ranks Mount Sinai Kravis Children's Hospital among the country&rsquo;s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek&rsquo;s &ldquo;The World&rsquo;s Best Smart Hospitals&rdquo; ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.</p>
<p><b>
Equal Opportunity Employer</b></p>
<p>
The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.</p><p><b><br>
Compensation</b></p><p>
The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $72500 - $80000 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</p></div>

Postdoctoral Fellow-MSH-12600-140

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