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data analyst (financials) Jobs in New York United States

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data scientist - fraud Jobs in New York United States

data scientist - fraud

data scientist fraud

Plaid

<div>
 We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid&rsquo;s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
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 The Data team within Plaid&rsquo;s Fraud organization builds the machine learning systems that power Plaid&rsquo;s newest fraud detection products, leveraging the breadth of Plaid&rsquo;s network data to stop fraud before it occurs. We manage the full lifecycle of these systems&mdash;from feature pipeline development and model training to deployment, serving, and monitoring&mdash;ensuring our solutions scale reliably as we grow to support hundreds of customers.
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 As a Data Scientist on Plaid&rsquo;s Fraud Data team, you will analyze customer and network traffic to understand how Protect performs across different segments and use cases. You&rsquo;ll build dashboards and performance metrics that create a clear, shared view of product health for both the team and our go-to-market partners. You will run backtests on customer traffic to evaluate model and rule performance, uncover high-value opportunities, and generate insights that support sales motions and customer expansion. You&rsquo;ll also design the underlying data models and schemas that enable efficient, reliable analysis and reporting. In close partnership with Product and Engineering, you will help design and evaluate experiments that shape new customer-facing features and inform the future of our fraud products.
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 ***We are open to remote candidates***
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 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work at the intersection of product analytics, machine learning, and fraud/risk to drive meaningful product improvements.
  </li>
  <li>
   Own the metrics, dashboards, and experimentation frameworks that inform product strategy and decision-making.
  </li>
  <li>
   Analyze complex datasets to uncover clear, actionable insights that shape product direction.
  </li>
  <li>
   Partner with go-to-market teams to demonstrate the technical and business value of our products to customers.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;5 years of total experience, including at least 2&ndash;3 years working deeply with product analytics, experimentation, or data-driven products.
  </li>
  <li>
   Strong proficiency in SQL and Python.
  </li>
  <li>
   Hands-on experience with product analytics, experimentation frameworks, or backtesting methodologies.
  </li>
  <li>
   Skilled in designing, building, and maintaining dashboards and core product performance metrics.
  </li>
  <li>
   Capable of designing and interpreting backtests or offline evaluations for ML and rules-based systems.
  </li>
  <li>
   Excellent communicator with strong stakeholder-management skills across diverse teams.
  </li>
  <li>
   Background in fraud or risk domains &mdash; Nice to have.
  </li>
  <li>
   Familiarity with data-insights products and a solid understanding of model-performance metrics &mdash; Nice to have.
  </li>
  <li>
   Exposure to customer-facing or GTM-facing analytics &mdash; Nice to have.
   <br/>
   <br/>
  </li>
 </ul>
 $162,000 - $222,000 a year
 <br/>
 <br/>
 The target base salary for this position ranges from $162,000/year to $222,000/year in Zone 1. The target base salary will vary based on the job's location.
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 <br/>
 <strong>
  Our Geographic Zones Are As Follows
  <br/>
  <br/>
 </strong>
 Zone 1 - New York City and San Francisco Bay Area
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 Zone 2 - Los Angeles, Seattle, Washington D.C.
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 Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego
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 <br/>
 Zone 4 - Raleigh-Durham and all other US cities
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 <br/>
 Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
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 <br/>
 Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
 <br/>
 <br/>
 Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected] .
 <br/>
 <br/>
 Please review our Candidate Privacy Notice here .
</div>


Data Scientist - Fraud

Future Sign  CO.,LTD

<div>
 <strong>
  Job Overview
  <br/>
  <br/>
 </strong>
 We&rsquo;re hiring a Fraud Prevention Analyst to identify, analyze, and prevent fraudulent activity across customer accounts and transactions. You&rsquo;ll monitor high-risk patterns, investigate suspicious behavior, and help strengthen fraud controls.
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 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Review flagged transactions, accounts, and activity logs.
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 Analyze behavior patterns to detect fraud attempts.
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 Document suspected fraud cases and escalate as needed.
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 <br/>
 Assist in improving fraud detection rules and workflows.
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 <br/>
 Collaborate with compliance, risk, and customer service teams.
 <br/>
 <br/>
 Prepare reports summarizing fraud incidents and trends.
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 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 Strong analytical and investigative skills.
 <br/>
 <br/>
 Ability to identify patterns in large datasets.
 <br/>
 <br/>
 Experience with Excel; risk or fraud tools a plus.
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 <br/>
 Good decision-making and attention to detail.
 <br/>
 <br/>
 Bachelor&rsquo;s degree in Business, Finance, Cybersecurity, or related field preferred.
 <br/>
 <br/>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 Competitive salary + fraud performance bonus potential.
 <br/>
 <br/>
 Benefits vary by employer.
 <br/>
 <br/>
 Growth opportunities into Senior Fraud Analyst or Risk roles.
 <br/>
 <br/>
 Credit Score Requirement
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 <br/>
 Due to working with financial risk and sensitive customer data, a credit check and background verification is mandatory.
 <br/>
 <br/>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>


Fraud Prevention Analyst

New York University

<div></div><div><div><div><div><div><div>New York University: NYU - NY: Steinhardt School of Culture, Education and Human Development: Office of Research: Institute of Human Development and Social Change
</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 03, 2025
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>The Infant Studies of Language and Neurocognitive Development (ISLAND) lab at NYU, directed by Dr. Natalie H. Brito, is seeking a part-time Associate Research Scientist to being as early as December 2025. The Associate Research Scientist will work with a team of postdocs, graduate students, and undergraduate researchers and on projects examining early trajectories of brain and behavior during infancy and toddlerhood. You can find out more about Dr. Brito's lab at www.britobabylab.com.</p>
<p><b>
Associate Research Scientist</b> Responsibilities:</p>
<ul>
<li>Conducting studies with families (e.g., recruiting, scheduling, and data collection)</li>
<li>Performing general administrative duties (e.g., data management and overseeing participant data entry)</li>
<li>Data processing and coding</li>
</ul>
<p><i>In compliance with NYC's Pay Transparency Act, the hourly base rate for this position is $26/hour. 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.</i></p>
<p><i>
Per NYU's remote-work policy, this position is expected to be fully in-person.</i></p>
<p><i>
This position does not have any supervisory responsibilities.</i></p></div>
</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><p><b>Required Qualifications:</b></p>
<ul>
<li>Bachelor's degree or previous experience collecting data within a developmental psychology lab</li>
<li>Ability to interact warmly and professionally with caregivers and children</li>
<li>Strong organizational and problem-solving skills are essential</li>
<li>Excellent interpersonal communication skills</li>
<li>Ability to work independently and collaboratively as a team</li>
<li>Availability for flexible scheduling, including evenings and weekends for data collection</li>
</ul>
<p><b>Preferred Qualifications:</b></p>
<ul>
<li>Previous research experience</li>
<li>Spanish fluency</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Application Instructions
</b></h3><div><div><p>Review of applications will begin immediately and continue until the position is filled. Interested individuals should upload a (1) cover letter describing their interests and relevant experience, (2) CV/resume, and (3) names and contact information of two references to Interfolio.</p></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>

Associate Research Scientist (Part-Time)

<div><p><b>About Us</b></p><p>
Rho is the modern banking platform built for startups. Open accounts in minutes, issue cards, manage expenses, pay bills, and close the books &ndash; all in one connected platform backed by real human support.</p><p><b>
About the Role</b></p><p>
We're looking for an experienced fraud analyst to support the overall fraud strategy and operations, working alongside and supporting the Fraud lead as a critical member of the fraud team. As a core member of the team, you will have a unique opportunity to learn and apply your previous experience, design and innovate fraud systems, while conducting data analysis and being actively engaged cross-functionally. You will help lead efforts to build a best-in-class program that directly supports a seamless and frictionless client experience while reducing fraud risk exposure and protecting against fraud loss.</p><p></p><p><b>
Responsibilities:</b></p><ul><li><p>
Analyze fraud alerts and cases to identify and prevent fraudulent activity.</p></li><li><p>
Assist customers by preparing and responding to inquiries related to fraud investigations and supporting the resolution of fraud incidents.</p></li><li><p>
Document investigation processes and outcomes to maintain audit-ready records</p></li><li><p>
Maintain department productivity goals and quality standards.</p></li><li><p>
Collaborate with the Fraud team to support and refine our operations, working cross-functionally with Client Services, Financial Operations, Compliance, and Transaction Monitoring teams.</p></li><li><p>
Maintain regular communication with team members to ensure maximum efficiency in recovery efforts and support ongoing strategy management</p></li><li><p>
Deep dive into individual fraud event vectors to perform root cause analyses</p></li></ul><p></p><p><b>
Qualifications:</b></p><ul><li><p>
2+ years of experience in fraud risk and/or payments operations in banking and/or financial services</p></li><li><p>
Experience using systems such as Excel, Google Workspace, Looker, and Slack</p></li><li><p>
Excellent written and verbal communication skills</p></li><li><p>
Ability to work independently, capable of taking ownership and acting as the primary contact for fraud-related issues when needed</p></li><li><p>
Familiarity with compliance and payment regulations, including Reg E, NACHA, AML/BSA, KYC/CIP, OFAC, FinCEN, and related frameworks.</p></li><li><p>
Ability to work Monday&ndash;Friday, 12 PM &ndash; 8 PM ET / 10 AM &ndash; 6 PM MT</p></li></ul><p></p><p><b>
Nice to Have:</b></p><ul><li><p>
Experience within Micro SMB/SMB business cards, payments, invoices, lending, or related financial industries</p></li><li><p>
Experience in high-growth startups, specifically global fintechs and/or neobanks for corporate clients</p></li><li><p>
Experience with U.S. fraud payments risk for ACH, Card, Checks, and Wires with a global or large financial institution, and key understanding of common fraud typologies</p></li></ul><p></p><p>
Our people are our most valuable asset. The salary range for this role is <b>$75,000 to $112,500</b> in New York City. Base salary may vary depending on relevant experience, skills, and business needs. In addition to base pay, Rho offers equity, healthcare benefits, and paid time off.
</p><p>Diversity is a core value at Rho. We&rsquo;re passionate about building and sustaining an inclusive and equitable environment for all those involved with our mission, including employees, contractors, candidates, customers, and vendors. We believe every member of the Rho community enriches our ability to provide a broad range of ways to understand and engage with the market, identify problems, and drive solutions that align with our mission. We welcome all qualified applications and support each of our Rho&rsquo;ers with ongoing professional growth opportunities.</p></div>

Fraud Analyst

Mastercard

<p> <b>Our Purpose</b> </p><p></p><p> Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. </p><p></p><p><b>Title and Summary</b></p> <p></p>Manager, Product Management <p></p>Who is Mastercard? <br><br>Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. <br><br>Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. <br><br>Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. <br><br>Overview<br><br>The AI Network Services team is building next-generation AI/ML products focused on fraud detection and decisioning. These products are grounded in strong engineering principles, aligned with enterprise architecture, and powered by the latest AI/ML technologies.<br><br>A key focus area is developing global risk insights at both the account and merchant levels, and scaling these insights across the payments ecosystem to enhance customer experiences.<br><br>Role <br>We are looking for a Manager, Product Management to lead the development and scaling of fraud and risk solutions. This role will drive product strategy, development, execution, and adoption in collaboration with cross-functional teams.<br><br>Key Responsibilities<br>• Lead the roadmap and delivery of account and merchant-level fraud and risk solutions.<br>• Collaborate cross-functionally with data science, engineering, and regional teams to define product requirements and prioritize initiatives.<br>• Manage end-to-end product lifecycle-from scoping and execution to delivery and documentation.<br>• Drive product adoption and usage, evangelizing the product benefits at a regional, customer, and geographic level<br>• Drive regional accountability throughout the development and management process<br>• Analyze product performance and identify opportunities for improvement and expansion<br>• Define and track success metrics and KPIs to ensure product quality and impact.<br>• Serve as a subject matter expert to drive internal and external adoption.<br><br>All About You<br>• Previous product management experience, including fraud and risk domains.<br>• Strong understanding of payment fraud scenarios (e.g., account takeover, merchant risk, etc.).<br>• Analytical mindset <br>• Familiarity with the Studio development process <br>• Excellent problem-solving and communication skills.<br>• Proven ability to collaborate across teams and influence stakeholders.<br>• Comfortable working in fast-paced, ambiguous environments.<br>• Comfortable with knowing and applying basic AI and Data Science solutioning to problem statements<br>• MBA a plus<br><br> <p></p>Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. <p></p><p><b>Corporate Security Responsibility</b></p><p><br />All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:</p><ul><li><p>Abide by Mastercard's security policies and practices;</p></li><li><p>Ensure the confidentiality and integrity of the information being accessed;</p></li><li><p>Report any suspected information security violation or breach, and</p></li><li><p>Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.</p></li></ul><p></p><p></p> <p></p>In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more.<p></p><p><b>Pay Ranges</b></p>Purchase, New York: $137,000 - $218,000 USD <p></p> <p></p> <p></p> <p></p>

Manager, Product Management

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Are you looking to work at the forefront of Machine Learning (ML) and Artificial Intelligence (AI)? Would you be excited to apply AI algorithms to solve real world problems with significant impact? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Senior Data Scientist to help customers implement AI/ML solutions and realize transformational business opportunities.
<br>
<br>
This is a team of scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine-tune the right models, define paths to navigate technical or business challenges, develop scalable solutions and applications, and launch them in production. The team provides guidance and implements best practices for applying AI responsibly and cost efficiently.
<br>
<br>
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
<br>
<br>
We&rsquo;re looking for Data Scientists capable of using AI/ML and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
<br>
<br>
Key job responsibilities<br>
As an experienced Senior Data Scientist, you will be responsible for:
<br>
1. Lead end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, solution deployment, and post-production monitoring<br>
2. Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate AI algorithms and build ML systems and operations (MLOps) using AWS services to address real-world challenges<br>
3. Interact with customers directly to understand the business challenges, deliver briefing and deep dive sessions to customers and guide them on adoption patterns and paths to production<br>
4. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations tailored to technical, business, and executive stakeholders<br>
5. Provide customer and market feedback to product and engineering teams to help define product direction<br>
This is a customer-facing role with potential travel to customer sites as needed.<br>
<br>
About the team<br>
ABOUT AWS:<br>
<br>
Diverse Experiences
<br>
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS
<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Work/Life Balance
<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
Inclusive Team Culture
<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship and Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of data scientist experience</li><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>1+ years of guiding and coaching a group of researchers experience</li><li>1+ years of working with or evaluating AI systems experience</li><li>1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience</li><li>Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Knowledge of machine learning concepts and their application to reasoning and problem-solving</li><li>Experience in Python, Perl, or another scripting language</li><li>Experience in a ML or data scientist role with a large technology company</li><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience working on multi-team, cross-disciplinary projects</li><li>Experience applying quantitative analysis to solve business problems and making data-driven business decisions</li><li>Experience effectively communicating complex concepts through written and verbal communication</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 $125,500/year in our lowest geographic market up to $212,800/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>

Data Scientist, AWS Professional Services

Biohub

<div>
 Biohub is leading the new era of AI-powered biology to cure or prevent disease through its 501c3 medical research organization, with the support of the Chan Zuckerberg Initiative.
 <br/>
 <br/>
 The Team
 <br/>
 <br/>
 Biohub is a group of nonprofit research institutes that bring together scientists, engineers, and physicians with the goal of pursuing grand scientific challenges on 10- to 15-year time horizons. Biohub focuses on understanding underlying mechanisms of disease and developing new technologies that will lead to actionable diagnostics and effective therapies.
 <br/>
 <br/>
 Our Vision
 <br/>
 <br/>
 <ul>
  <li>
   We pursue large scientific challenges that cannot be pursued in conventional environments
  </li>
  <li>
   We enable individual investigators to pursue their riskiest and most innovative ideas
  </li>
  <li>
   The technologies developed at the Biohub facilitate research by scientists and clinicians at our home institutions and beyond
   <br/>
   <br/>
  </li>
 </ul>
 Diversity of thought, ideas, and perspectives are at the heart of Biohub and enable disruptive innovation and scholarly excellence. We are committed to cultivating an organization where all colleagues feel inspired and know their work makes an important contribution.
 <br/>
 <br/>
 The Opportunity
 <br/>
 <br/>
 The Laboratory of Immunogenomics at Biohub studies the non-coding regulatory genome to understand and address immune dysfunction in diseases like cancer, autoimmune disorders, and aging. We focus on enhancers&mdash;non-coding, highly cell&ndash;type&ndash;specific transcriptional regulatory elements&mdash;and their role in shaping immune responses. We develop and utilize genomic technologies, including bulk and single-cell nascent RNA sequencing, genome editing, immune engineering, and CRISPR-based functional screens in patient biopsies, organoid systems, and mouse models. Through computational analysis integrating machine learning and AI, we map enhancer&ndash;gene networks and identify disease-driving elements. Our goal is to advance enhancer-guided precision genomic medicine for diseases involving immune dysfunction.
 <br/>
 <br/>
 We are seeking a highly motivated
 <strong>
  Scientist
 </strong>
 to lead the development of a high-throughput adaptation of a newly established single-cell nascent RNA sequencing method (scGRO-seq) and apply it to patient biopsies and organoid models. The role involves designing, optimizing, and benchmarking cutting-edge single-cell genomics workflows, integrating them with perturbation-based assays, and generating datasets that drive transformative insights into immune regulation.
 <br/>
 <br/>
 For candidates with demonstrated technical expertise and leadership ability, this position offers the opportunity to build and
 <strong>
  lead a small team
 </strong>
 (one to two research associates) to implement the assay, conduct perturbation experiments, and oversee data generation. Once the workflow is established, this position will direct experimental execution, coordinate large-scale data acquisition, and collaborate on downstream analyses with computational biologists to deliver actionable translational insights.
 <br/>
 <br/>
 This role is ideal for a post-PhD scientist with a proven track record in single-cell biology who excels at the intersection of technological innovation, complex biology, and computational analysis. You will join a highly collaborative team working toward a shared vision. The position offers rich
 <strong>
  opportunities for professional growth
 </strong>
 &mdash;developing leadership, mentorship, and multidisciplinary expertise&mdash;equipping the candidate to thrive at the cutting-edge of single-cell immunogenomics for future academic or industry roles.
 <br/>
 <br/>
 What You'll Do
 <br/>
 <br/>
 <ul>
  <li>
   Assay development: Design, optimize, and scale high-throughput single-cell/nuclei extraction, barcoding, and library preparation workflows for scGRO-seq.
  </li>
  <li>
   Perturbation integration: Combine scGRO-seq with CRISPR-based enhancer perturbation, drug treatments, and multi-omics profiling.
  </li>
  <li>
   Molecular biology techniques: Execute advanced methods including assay design, cell manipulation, RNA/DNA isolation, PCR/qPCR, NGS library construction, high-dimensional flow cytometry, and sequencing.
  </li>
  <li>
   Translational applications: Adapt and validate protocols in patient biopsies and 3D organoid models, with emphasis on reproducibility and sensitivity.
  </li>
  <li>
   Immune cell engineering: Isolate, culture, and reprogram hematopoietic stem/progenitor cells (HSPCs) and primary immune subsets.
  </li>
  <li>
   Data integration: Partner with computational biologists to process and interpret large-scale single-cell datasets (RNA, chromatin, proteomics) using established and custom pipelines (e.g., Bowtie, STAR, Seurat, Scanpy).
  </li>
  <li>
   Collaboration &amp; dissemination: Collaborate across disciplines to investigate regulatory genomics in immune dysfunction, tumor-infiltrating immune cells, and autoimmune disease variants. Contribute to publications, preprints, conference presentations, and grant proposals.
   <br/>
   <br/>
  </li>
 </ul>
 What You'll Bring
 <br/>
 <br/>
 Essential -
 <br/>
 <br/>
 <ul>
  <li>
   2+ years of postdoctoral or equivalent post-PhD experience in academic or industry settings.
  </li>
  <li>
   PhD in Molecular Biology, Systems Biology, Genetics, Immunology, Cancer Biology, Biomedical Engineering, or related field.
  </li>
  <li>
   Proven expertise in single-cell or spatial omics technology development, ideally in RNA biology or immune engineering.
  </li>
  <li>
   Demonstrated success in genomic assay development from concept to implementation.
  </li>
  <li>
   Strong background in immune cell biology, innate and adaptive immunity, and hematopoietic stem/progenitor cell culture and reprogramming.
  </li>
  <li>
   Experience designing and executing CRISPR screens and perturbation assays (genetic or chemical/drug).
  </li>
  <li>
   Strong problem-solving skills, independence, and the ability to troubleshoot complex workflows.
  </li>
  <li>
   Excellent communication skills and proven ability to work in collaborative, multidisciplinary teams.
   <br/>
   <br/>
  </li>
 </ul>
 Nice to have -
 <br/>
 <br/>
 <ul>
  <li>
   Computational fluency in genomic data analysis; ability to work with bioinformatics pipelines for single-cell and bulk datasets.
  </li>
  <li>
   Experience with functional genomics in immune cells.
  </li>
  <li>
   Familiarity with 3D culture systems or hydrogels for immune cell studies.
  </li>
  <li>
   Experience integrating multi-modal single-cell datasets (RNA, ATAC, proteomics).
  </li>
  <li>
   Working knowledge of Linux/HPC environments and single-cell analysis tools (e.g., Seurat, Scanpy).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 The New York City, NY base pay range for a new hire in this role is Scientist I = $120,000.00 - $165,000.000 and Scientist II = $138,000.00 - $189,000.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.
 <br/>
 <br/>
 <strong>
  Benefits For The Whole You
  <br/>
  <br/>
 </strong>
 We&rsquo;re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
 <br/>
 <br/>
 <ul>
  <li>
   Provides a generous employer match on employee 401(k) contributions to support planning for the future.
  </li>
  <li>
   Paid time off to volunteer at an organization of your choice.
  </li>
  <li>
   Funding for select family-forming benefits.
  </li>
  <li>
   Relocation support for employees who need assistance moving
   <br/>
   <br/>
  </li>
 </ul>
 If you&rsquo;re interested in a role but your previous experience doesn&rsquo;t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.
 <br/>
 <br/>
</div>


Scientist, Single Cell Technology Development & Translational Genomics

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