senior data scientist

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senior executive assistant

senior scientist

Uber

<div><b>About the Role
</b><br>
<br>
Scientists at Uber use data to improve and automate all aspects of Uber's core rideshare and delivery products. You will be joining the Delivery team, which owns all aspects of our delivery experience - from eaters, couriers to merchants!
<br>
<br>
We are looking for experienced candidates with a passion for solving new and difficult problems with data. In this role, you will be able to utilize your strong quantitative skills to improve the Uber delivery experience as well as the overall marketplace performance.
<br>
<br>
<b>About the Team (We are hiring for multiple teams)
</b><br>
<br>
We are building the most preferred online delivery platform globally and driving innovation across a number of areas including:
<ul><li><b>Fulfillment: </b>Delivery is the core of our product. We carefully refine a living and breathing marketplace to balance long run outcomes with the everyday experiences of our customers and couriers.
</li><li><b>Consumer: </b>We help users all over the world find what they need on UberEats. To do so we build state of the art recommendation systems and novel user experiences to help users discover the selection around them.
</li><li><b>Ads: </b>Ads is one of the fastest growing lines of businesses at Uber. We work on end-to-end experience across lines of business, from enrolling advertisers, to designing auction and bidding, and integrating ads into the user experience.
</li><li><b>Offer: </b>We optimize merchant offers, by identifying the optimal selection to make the platform affordable to consumers, by innovating on pricing models to align incentives, and by maximizing return for merchants through targeting.
</li><li><b>Merchant: </b>Dedicated to optimizing merchant experience and driving merchant success at every stage of their lifecycle. We drive strategic and product decisions that expand merchant selections and maximize the value merchants bring to our marketplace.
</li></ul><b>What You'll Do
</b><ul><li>Solve ambiguous, challenging business problems using data-driven approaches, including ML, Optimization, and Causal Inference.
</li><li>Develop and implement statistical/econometric methodologies to improve results validity, power and generalizability.
</li><li>Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.
</li><li>Design and analyze experiments, present results that provide actionable recommendations.
</li><li>Orient the teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms.
</li><li>Define how our teams measure success, by developing metrics, in close partnership with cross-functional partners.
</li><li>Owning the product development cycle end-to-end from data and science aspects.
</li></ul><b>Basic Qualifications
</b><ul><li>Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
</li><li>Minimum 4 years of industry experience as an Applied or Data Scientist or equivalent (2+ years if holding a Ph.D.)
</li><li>Experience in experimental design and analysis, exploratory data analysis and statistical analysis.
</li><li>Ability to use Python/R to work efficiently at scale with large data sets.
</li></ul><b>Preferred Qualifications
</b><ul><li>Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment.
</li><li>Expertise in synthesizing complex technical analyses into clear insights to influence product direction.
</li><li>Excellent communication skills across technical, non-technical, and executive audiences.
</li>Experience within a Delivery or Ecommerce business.<br>
<li>
</li></ul><br>
<br>
For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 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. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Senior Scientist, Delivery (Multiple Teams)

police department

<p></p><div><div><div><div><div><div><h1 class="jobSectionHeader"><b>Senior Data Scientist
</b></h1></div><div><div><div><div><ul><li>POLICE DEPARTMENT
</li></ul></div></div><div><div>Posted On: 03/03/2026
</div></div><div><div><ul><li>Full-Time
</li></ul></div></div><div><div><div>Location
</div><div>NYC-ALL BOROS</div>
</div></div></div><div><div><div><ul><li>No Exam Required
</li></ul></div></div><div><div><div><div>Department
</div><div>Office Mgmt Analysis &amp; Plan/CV</div>
</div></div></div><p></p><div><div><div>Salary Range:</div>
<div>$75,000.00 &ndash; $160,000.00</div>
</div></div></div></div><div><div><p><b>Save</b></p>
</div></div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2></div>
<div><div><p>The mission of the New York City Police Department is to enhance the quality of life in New York City by working in partnership with the community to enforce the law, preserve peace, protect the people, reduce fear, and maintain order. The New York City Police Department strives to foster a safe and fair City through the strategic deployment of resources, focusing on both crime prevention and addressing quality-of-life concerns while building lasting community relationships.<br>
<br>
The Office of Management Analysis and Planning (OMAP) analyze and evaluate Departmental policies, programs, and resources to make recommendations to the Police Commissioner in order to ensure maximum organizational efficiency and effectiveness of the Department. OMAP is the research and assessment arm of the Department. comprised of both uniformed and civilian members of the service with a wide variety of academic and professional experiences. OMAP conducts analyses aimed at improving the effectiveness and efficiency of the Department (e.g., personnel deployments, resource allocation), develops complex pilot projects, formulates policy recommendations and prepares briefing materials for the Police Commissioner on a wide range of legislative and procedural issues.<br>
<br>
The Office of Management Analysis and Planning (OMAP) is seeking a skilled and highly motivated Senior Data Scientist to join the New York City Police Department (NYPD) Data Science team. OMAP serves as the primary evaluation and assessment arm of the NYPD. Acting as a &quot;think tank,' OMAP focuses on exploring and implementing innovative strategies and efficiencies aimed at enhancing policy development, evaluating programs, and optimizing organizational structures and staffing.<br>
<br>
A successful candidate will contribute to the section mission by providing technical leadership and designing data science services that solve Department challenges. They will harmonize software across data science projects and deliver advanced machine leaming solutions. Key responsibilities expert-level development work in Python, wrangling both structured and unstructured datasets (e.g. text, geospatial, network data), and designing effective software architecture. Strong project management and team building skills are required.<br>
<br>
WORK LOCATION:
<br>
1 Police Plaza, New York, N.Y. 10038<br>
<br>
WORK SCHEDULE:<br>
Monday to Friday 8 x 4 or 10 x 6<br>
<br>
TO APPLY:<br>
Please visit: https://cityjobs.nyc.gov and search for Job ID #771153<br>
<br>
ADDITIONAL INFORMATION:<br>
In compliance with Federal Law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.<br>
<br>
The City of New York offers a comprehensive benefits package including health insurance for the employee and his or her spouse or domestic partner and unemancipated children under age 26, union benefits such as dental and vision coverage, paid annual leave and sick leave, paid holidays, a pension, and optional savings and pre-tax programs such as Deferred Compensation, IRA, and a flexible spending account.<br>
<br>
IT PROJECT SPECIALIST - 95710</p><p><b><br>
Minimum Qualifications</b></p><p><br>
1. A baccalaureate degree from an accredited college in computer science, engineering, human computer interaction, interactive media, digital and graphics design, data visualization, communication or a related field, and four years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or<br>
<br>
2. An associate degree from an accredited college in computer science, engineering, human computer interaction, interactive media, digital and graphics design, data visualization, communication or a related field, and six years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or<br>
<br>
3. A baccalaureate degree from an accredited college, and eight years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or<br>
<br>
4. Education and/or experience which is equivalent to &quot;1&quot;, &quot;2&quot;, or &quot;3&quot; above.</p><p><b><br>
Preferred Skills</b></p><br>
- Ability to lead code reviews for data science and maintain core software packages. - Experience designing full-stack software products using Python, SQL, and/or R. - Experience designing statistical and machine leaming models (e.g. scikit-learn, statsmodels. PyTorch, HuggingFace). - Experience performing a wide range of data science tasks, including but not limited to data visualization, natural language processing, geospatial analytics, and nework analysis (e.g. Pandas, NumPy. Matplotlib, NLTK, GeoPandas, Flask). - Excellent oral. written, analytic, organizational, and interpersonal skills and attention to detail are required. - Ability to manage technical debt and use design patterns to design effective software architecture. - Ability to manage multiple projects simultaneously and meet tight deadlines. - Ability to train junior team members and work cross-functionally to strengthen relationships across the department. - Knowledge and understanding of criminal justice policy and research literature is preferred.<br>
<p><b>
Public Service Loan Forgiveness</b></p><br>
As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education&rsquo;s website at https://studentaid.gov/pslf/.<br>
<p><b>
Residency Requirement</b></p><br>
New York City Residency is not required for this position<br>
<p><b>
Additional Information</b></p><div></div><p><br>
The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.</p></div>
</div><div><div><p><b>
</b></p><p><b>Save</b></p>
</div></div></div></div><div><div><div><div><div><div><div>Job ID
</div><div>771153</div>
</div></div><div><div><div><div>Posted until
</div><div>04/01/2026</div>
</div></div></div><div><div><div><div>Title code
</div><div>95710</div>
</div></div></div><div><div><div><div>Civil service title
</div><div>IT PROJECT SPECIALIST</div>
</div></div></div><div><div><div><div>Title classification
</div><div>Non-Competitive-5</div>
</div></div></div><div><div><div><div>Business title
</div><div>Senior Data Scientist</div>
</div></div></div></div><div><div><div><ul><li><div>Experience Level: </div>Experienced (Non-Manager)
</li></ul></div></div><div><div><div><div>Job level
</div><div>00</div>
</div></div></div><div><div><div><div>Number of positions
</div><div>1</div>
</div></div></div><div><div><div><div>Work location
</div><div>1 Police Plaza, N.Y.</div>
</div></div></div><div><div><ul><li><div>Category: </div>Technology, Data &amp; Innovation
</li></ul></div></div></div></div></div></div><div><div><div><div><div>Senior Data Scientist</div></div></div></div></div></div><p></p>

Senior Data Scientist

Alma

<div><div><p>Alma is on a mission to simplify access to high-quality, affordable mental health care. We do this by making it easy and financially rewarding for therapists to accept insurance and offer in-network care. When a provider joins Alma, they gain access to a suite of tools that not only help them better run their business, but also grow it sustainably and develop as a provider. Alma is available in all 50 states, with over 20,000 therapists in our growing network. Anyone looking for a therapist can browse Alma's free directory. Alma has raised $220.5M in funding from Insight Partners, Optum Ventures, Tusk Venture Partners, Primary Venture Partners, First Round Capital, Sound Ventures, BoxGroup, Cigna Ventures, and Rainfall Ventures. Alma was also named one of Inc's Best Workplaces in 2022 and 2023.</p>
<div>
Website</div>
<div>Job Board</div>
<div>Values</div>
<div>Candidate Interview Guide</div>
<div></div>
<div>-</div>
</div><div></div><h2 class="jobSectionHeader"><b>
Senior Data Scientist I, Analytics</b></h2>
<p>
Alma is on a mission to simplify access to high-quality, affordable mental health care. We do this by making it easy and financially rewarding for therapists to accept insurance and offer in-network care. When a provider joins Alma, they gain access to a suite of tools that not only help them better run their business, but also grow it sustainably and develop as a provider. Alma is available in all 50 states, with over 20,000 therapists in our growing network. Anyone looking for a therapist can browse Alma's free directory. Alma has raised $220.5M in funding from Insight Partners, Optum Ventures, Tusk Venture Partners, Primary Venture Partners, First Round Capital, Sound Ventures, BoxGroup, Cigna Ventures, and Rainfall Ventures. Alma was also named one of Inc's Best Workplaces in 2022 and 2023.</p>
<p>
The Data Science team helps Alma achieve its mission by leveraging data to inform business strategy and drive product innovations. We are looking for a Senior Data Scientist to join the Client Experience team to make searching for the right therapist a seamless experience. In this role, you will apply your expertise in analytics and experimentation to solve challenging problems including conversion funnel optimization, search ranking, and client-provider matching. You will collaborate with a diverse cross-functional team of product managers, software engineers, and designers to define and execute on the Client Experience product roadmap.</p><br>
<p></p>
<h2 class="jobSectionHeader"><b>
What you'll do:</b></h2>
<ul><li>Generate insights through deep-dive analysis to inform strategy and prioritization</li>
<li>Define metrics and create dashboards to measure product performance</li>
<li>Design, execute, and analyze A/B testing experiments to validate product hypotheses</li>
<li>Collaborate with product, engineering, and marketing stakeholders to define the product roadmap</li>
<li>Identify opportunities and initiate new data science projects that drive company OKRs</li>
<li>Communicate technical insights effectively to influence decision-making</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
Who you are:</b></h2>
<ul><li>You have a Master's degree in a relevant quantitative field (e.g. data science, computer science, statistics, economics) or equivalent in industry experience</li>
<li>You have 2-4 years of experience as a data scientist supporting product development</li>
<li>You are an expert in SQL</li>
<li>You are proficient in either R or Python for data analysis</li>
<li>You have experience designing and analyzing A/B testing experiments and guide product decisions with experimental insights</li>
<li>You are results-driven and passionate about building great products, with a proven track record of taking projects from inception to launch</li>
</ul>
<p><b>Benefits:</b></p>
<ul>
<li>We're a remote-first company</li>
<li>Health insurance plans through Aetna (medical and dental) and MetLife (vision), including FSA and HSA plans</li>
<li>401K plan (ADP)</li>
<li>Lifestyle Spending Account for health, wellness, and family care</li>
<li>Monthly co-working space membership stipend</li>
<li>Monthly work-from-home stipend</li>
<li>Financial wellness benefits through Northstar</li>
<li>Pet discount program through United Pet Care</li>
<li>Financial perks and rewards through PerkSpot</li>
<li>EAP access through Aetna</li>
<li>One-time home office stipend to set up your home office</li>
<li>Inclusive family and medical leave plans</li>
<li>12 paid holidays and 1 Alma Give Back Day</li>
<li>Flexible PTO</li></ul><br>
<p></p>
<p>
Salary Band: $143,900 -$180,000</p><br>
<p></p>
<p>
All Alma jobs are listed on our careers page. We do not use outside applications or automated text messaging in our recruiting process. We will not ask for any sensitive financial or identification information throughout the recruiting process. Any communication during the recruitment process, including interview requests or job offers, will come directly from a recruiting team member with a helloalma.com email address.</p><div><p>
Learn more about how Alma handles applicant data by reading Alma's Applicant Privacy Notice.</p></div></div>

T. Rowe Price

<div><div><div>At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident.</div></div><div></div><div><div>
We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You&rsquo;ll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you&rsquo;ll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity.</div></div><div></div><div><div>
Join us for the opportunity to grow and make a difference in ways that matter to you.</div></div><div></div><div>
About the Team</div><div>
Are you a curious problem solver who asks great questions and loves collaborating across disciplines? At T. Rowe Price, Data Scientists build the analytics and AI that power better investment decisions. Position is available in our New York City office or at our brand-new AI Data Science squad at our new Baltimore, MD Harbor Point location. Both locations offer the opportunity to collaborate with top talent, drive innovation, and make a real impact in asset management. If you&rsquo;re a hands‑on leader who cares about people as much as technology, we&rsquo;d love to talk.</div><div></div><div>
Role Summary</div><div>
This is a hands‑on, end‑to‑end lead role&mdash;from discovery to production. As a team leader, you will think creatively and scale modern AI/Data Science practices on Databricks, set team standards, and drive collaborative delivery. T. Rowe Labs is focused on building the firm&rsquo;s next‑generation data and AI platform, aiming to seamlessly deliver on‑demand ML‑powered insights across our firm.</div><div></div><div>
Responsibilities</div><ul><li><div>
Contribute to the full data &amp; model lifecycle: problem framing, EDA, feature engineering, modeling, evaluation, deployment, and monitoring.</div></li><li><div>
Develop production solutions in Python (pandas, PySpark) on Databricks (Delta Lake, Unity Catalog, MLflow, Workflows/Jobs); apply CI/CD and reproducible experiments.</div></li><li><div>
Employ automated testing for code, data, and models (unit tests, data validation, drift/bias checks); ensure repeatable pipelines.</div></li><li><div>
Identify and address data/model technical debt; improve schemas, data contracts, and performance/cost.</div></li><li><div>
Deliver well‑defined work items; clarify requirements through thoughtful questions and proposals.</div></li><li><div>
Mentor data scientists and engineers; lead code/design reviews and foster a collaborative culture.</div></li><li><div>
Own the quality, maintainability, security, governance, and total cost of ownership of delivered solutions.</div></li><li><div>
Help shape elements of the data/ML platform strategy and drive execution within your domain.</div></li><li><div>
Balance strategic and pragmatic concerns; proactively surface risks and resolve issues.</div></li></ul><div></div><div>
Qualifications</div><div>
Required:</div><ul><li><div>
BS/MS in a quantitative field (CS, Statistics, Applied Math, Engineering, Economics) or equivalent; 5+ years in data science/ML.</div></li><li><div>
Experience with automated pipelines, testing for data/models, and model lifecycle management (registry, versioning, monitoring).</div></li><li><div>
Solid understanding of cloud‑native architectures (AWS).</div></li><li><div>
Excellent communication and collaboration skills; adept at asking incisive questions and aligning diverse stakeholders.</div></li></ul><div></div><div>
Preferred:</div><ul><li><div>
Experience with AI/GenAI (LLMs, RAG, prompt design/evaluation).</div></li><li><div>
Strong Python and Spark expertise; hands‑on Databricks experience (Delta Lake, Unity Catalog, MLflow, Jobs/Workflows).</div></li><li><div>
Time‑series/NLP experience; BI/analytics tooling (Databricks SQL, Tableau/Power BI, dbt).</div></li><li><div>
A solid understanding of financial markets and instruments.</div></li><li><div>
Commitment to quality via unit/integration tests, data validation, documentation, and code review.</div></li></ul><div></div><div>
FINRA Requirements</div><div>
FINRA licenses are not required and will not be supported for this role.</div><div></div><div>
Work Flexibility</div><div>
This role is eligible for hybrid work, with up to three days per week from home.</div><div></div><div><i>
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status</i>.</div><div></div><div>
Base Salary Ranges</div><div>
Please review the job posting for the location of this specific opportunity.</div><div></div>
$121,000.00 - $206,000.00 for the location of: Maryland, Colorado, Washington and remote workers<br>
$133,000.00 - $227,000.00 for the location of: Washington, D.C.<br>
$151,000.00 - $258,000.00 for the location of: New York, California<div></div><div>
Placement within the range provided above is based on the individual&rsquo;s relevant experience and skills for the role. Base salary is only one component of our total compensation package. Employees may be eligible for a discretionary bonus, which is determined upon company and individual performance.</div><div></div><div>
Commitment to Diversity, Equity, and Inclusion</div><div>
At T. Rowe Price, our associates are our greatest asset. We thrive because our company culture is built on inclusion and because we sustain a work environment where associates can bring their best selves to work every day. The backgrounds, talents, and experiences of our global associates allow us to embrace new ideas and perspectives that move our business priorities forward and enable us to deliver strong client outcomes. Here, you can expect equal opportunity and fair and consistent treatment for all.</div><div></div><div>
Benefits</div><div><div><div>
We value your goals and needs, at work and in life. As an associate, you&rsquo;ll be supported with resources, benefits, and work-life balance so you can thrive in ways that matter to you.</div></div><div></div><div><div><br>
Featured employee benefits to enrich your life:</div></div><div><ul><li><div>
Competitive compensation</div></li></ul></div><div><ul><li><div>
Annual bonus eligibility</div></li></ul></div><div><ul><li><div>
A generous retirement plan</div></li></ul></div><div><ul><li><div>
Hybrid work schedule</div></li></ul></div></div><div><div><ul><li><div>
Health and wellness benefits, including online therapy</div></li></ul></div><div><ul><li><div>
Paid time off for vacation, illness, medical appointments, and volunteering days</div></li></ul></div><div><ul><li><div>
Family care resources, including fertility and adoption benefits</div></li></ul></div><div></div><div><div><div><br>
Learn more about our benefits.</div></div></div></div><div></div><div>
T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, color, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.</div></div>

Google

<div>
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 <strong>
  Mountain View, CA, USA; New York, NY, USA
 </strong>
 .
 <strong>
  Minimum qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   PhD degree in Computer Science, a related field, or equivalent practical experience.
  </li>
  <li>
   2 years of experience leading a research agenda.
  </li>
  <li>
   One or more scientific publication submission(s) for conferences, journals, or public repositories.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2 years of coding experience.
  </li>
  <li>
   1 year of experience leading research efforts and influencing other researchers.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About The Job
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we&rsquo;re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
 <br/>
 <br/>
 The US base salary range for this full-time position is $166,000-$244,000 + 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.
 <br/>
 <br/>
 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 .
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Author research papers to share and generate impact of research results across function and in the research community.
  </li>
  <li>
   Help in growing research business by sharing research trends and best practices within the community.
  </li>
  <li>
   Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
  </li>
  <li>
   Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research.
  </li>
  <li>
   Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 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>


Senior Research Scientist, Google Research

New York Genome Center

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 The Sanjana Lab at the New York Genome Center and NYU's Department of Biology is looking for a motivated individual to work as a Research Assistant within a highly creative and dynamic research team of scientists, engineers, and life science entrepreneurs.Our team works on a diverse array of projects that span genomics, bioengineering, cancer biology and neuroscience. We focus on developing new genome engineering technologies to understand gene regulation, development, tumor biology and genetic drivers of disease. Recent work from the group has included in vivo and RNA-targeting CRISPR screens, pairing CRISPR perturbations with multiomic single-cell readouts, engineering T cell therapies and precise genome editors, and uncovering cis-regulatory elements in the human noncoding genome.We are seeking a motivated Research Assistant to contribute to ongoing projects in genome editing, functional genomics, and cell-based neurobiology, including perturbation-based single-cell approaches. We request that all applicants complete the skills questionnaire here before applying for the position: https://bit.ly/slab-raThe candidate will work closely with experienced postdoctoral fellows and senior scientists, receiving hands-on mentorship in experimental design, cellular neurobiology, advanced microscopy, and data analysis. This role offers substantial opportunities for technical and scientific growth within a top-tier, interdisciplinary research environment.Responsibilities include, but are not limited to:
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 Plan, execute and troubleshoot complex biological experiments both independently and in close collaboration with colleagues.
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 Design and carry out experiments involving molecular biology, mammalian and neuronal cell culture, immunoflourescence, advanced fluorescence microscopy (e.g., spinning-disk confocal) and computational biology, with opportunities to develop deep expertise in these areas.
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 Manage small independent research projects while contributing to larger team-based efforts.
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 Analyze and interpret experimental data, including quantitative image-based readouts.
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 Engage with primary scientific literature and consult with colleagues to refine experimental approaches, troubleshoot challenges, and propose solutions.
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  Requirements
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 Maintain accurate, detailed experimental records and communicate results clearly through presentations, lab discussions, and written documentation.This position is ideal for a highly motivated early-career scientist seeking rigorous training in cell-based neurobiology, advanced imagining and perturbation-based functional genomics within a leading interdisciplinary research environment.Position Requirements:
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 BS in Biology, Neuroscience or a related field, with hands-on laboratory experience in experimental biology.
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 Demonstrated experience with immunofluorescence and fluorescence microscopy; prior exposure to advanced microscopy such as spinning-disk confocal is highly desirable but not required.
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 Evidence of independent thinking and initiative through prior research projects.
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 Ability to collect, analyze and interpret experimental data with exceptional attention to detail and rigor in experimental execution and record-keeping.
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 Strong motivation, scientific curiosity and eagerness to learn new techniques within a highly collaborative and productive environment.
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 In addition to submitting your resume and cover letter through this site, please also complete this web form: https://bit.ly/slab-raCompetencies
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 Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations and delivers on commitments.
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 Collaborative &amp; Communicative: Models collaboration and teamwork; brings out the best in others; effecti
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Research Assistant, Sanjana Lab (STINGreq)

<div>We're looking for candidates to intern on the Delivery Logistics team as a PhD Scientist intern during summer 2026 (12 weeks). As an intern, you will be embedded in a product team working on solving real-world Uber problems under the supervision of a scientist on that team, and will have the opportunity to partner closely with Software Engineers, Product Managers, and other cross functional partners.
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<b>About the Role
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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? If so, Uber is for you. In our Sciences 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.
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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!
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<b>About the Team
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The Delivery Logistics team builds real-world technology that powers our global marketplace. Our team of scientists works on diverse problems, including building real-time backend matching systems, creating new delightful user experiences, and serving predictions used for decision making across the marketplace.
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In this role, you will use your quantitative skills to generate insights, develop new models, design metrics and run experiments. Uber operates in a constantly-evolving and competitive environment, and our success requires a deep understanding of our marketplace and the ability to build products that scale on a global footprint. You will work on high visibility, high impact projects which have significant impact on Uber's P+L.
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<b>What You'll Do
</b><ul><li>Work with a mentor closely to define a business problem, scope a project, develop, and prototype the solution using data-driven approaches
</li><li>Work with a cross-functional team to build cutting-edge marketplace products
</li><li>Deploy analysis techniques such as causal inference and funnel analysis to identify our largest business opportunities
</li><li>Work alongside engineers to design and implement production solutions
</li><li>Design and analyze product experiments, and communicate findings and conclusions with stakeholders
</li></ul><b>Basic Qualifications
</b><ul><li>Pursuing a PhD specializing in Operations Research, Statistics, Economics, Machine Learning, or other quantitative fields
</li><li>Must have at least one semester/quarter remaining after completion of the internship
</li><li>Experience with exploratory data analysis, statistical analysis and testing, and model development
</li><li>Ability to use Python to work efficiently at scale with large data sets
</li><li>Strong problem solving and analytical abilities
</li></ul><b>Preferred Qualifications
</b><ul><li>0-2 years of prior work experience in an analytical setting
</li><li>Organized, detail oriented and able to work independently on multiple projects at once
</li><li>Ability to communicate effectively with both technical and business partners
</li><li>Proficiency with office efficiency tools including email, web browser, web apps, database search, spreadsheets/word processors (Google Apps)
</li><li>Self starter, taking initiative keeping relevant partners in the loop
</li><li>Open to feedback, excellent at implementing newly learned ideas and concepts
</li>Background in data visualization via open-source libraries/packages or third-party tools (i.e. Tableau, Mixpanel, Looker, or similar)<br>
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For New York, NY-based roles: The base hourly rate amount for this role is USD$67.00 per hour. You will also be eligible for various benefits.</div>

2026 PhD Scientist Intern (Delivery Logistics)

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Research Assistant, Sanjana Lab (STINGreq)

2026 PhD Scientist Intern (Delivery Logistics)