research analyst intern

advertising research analyst Jobs in New York

advertising research analyst

clinical research coordinator Jobs in New York

clinical research coordinator

clinical research coordinator- manhattan, ny Jobs in New York

clinical research coordinator- manhattan, ny

data scientist intern

assistant research scientist

NYU Langone Health

<div>
 1149536_RR00109957 Job ID: 1149536_RR00109957
 <br/>
 <br/>
 NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
 <br/>
 <br/>
 <em>
  For more information, go to
 </em>
 <em>
  med.nyu.edu
 </em>
 , and interact with us on
 <em>
  LinkedIn
 </em>
 ,
 <em>
  Glassdoor
 </em>
 ,
 <em>
  Indeed
 </em>
 ,
 <em>
  Facebook
 </em>
 ,
 <em>
  Twitter
 </em>
 <em>
  and
 </em>
 <em>
  Instagram
 </em>
 .
 <br/>
 <br/>
 <strong>
  Position Summary
  <br/>
  <br/>
 </strong>
 We have an exciting opportunity to join our team as a Assistant Research Scientist.
 <br/>
 <br/>
 In this role, the successful candidate will be responsible for collaborating with Principal Investigators (PI) and working independently within the scientific framework of the PI's laboratory.
 <br/>
 <br/>
 <strong>
  Job Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develops new ideas that promote current research. Exercises a high degree of creativity, foresight, and mature judgment in planning, organizing, and guiding extensive scientific research programs and activities of outstanding novelty and/or importance.
  </li>
  <li>
   May manage the operations of a lab for the Principal Investigator by supervising Post Docs and technicians. Oversees the maintenance and upkeep of all instruments and laboratory facilities.
  </li>
  <li>
   Ensures timely and accurate completion of research projects.
  </li>
  <li>
   May provide students with technical guidance and direction in the operation of various sample preparation techniques, extraction lines, and equipment as well as general laboratory practices and safety protocols.
  </li>
  <li>
   May seek grant funding from external sources in support of their independent research projects with consent of the PI and the Department Chair. May participate in writing grant proposals.
  </li>
  <li>
   May be responsible research/lab quality control and compliance.
  </li>
  <li>
   May develop protocol for the collection and quality of research data.
  </li>
  <li>
   Develops research techniques and methodologies.
  </li>
  <li>
   May determine and establish laboratory policies, procedures and practices.
  </li>
  <li>
   Maintains a thorough knowledge of the advances in specialized fields through attendance of scientific conferences.
  </li>
  <li>
   May make significant contributions to scientific papers. Is a resource/ author/ co-author for reports and presentations.
  </li>
  <li>
   May provide recommendations for equipment purchases and for the redesign of lab space.
  </li>
  <li>
   May coordinate the activity and experimental design between various labs, scientific staff, and collaborators. Identifies and resolves technical problems.
  </li>
  <li>
   Initiates, interprets, organizes, executes, and coordinates research assignments critical to department's mission.
  </li>
  <li>
   Formulates and conducts research on problems of considerable scope and complexity.
  </li>
  <li>
   Explores subject area and defines scope and selection of problems for investigation through conceptually related studies or series of projects of lesser scope.
  </li>
  <li>
   Makes decisions and recommendations that have a major impact on extensive scientific research activities.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 To qualify you must have a MS degree in a related discipline and 0-1 year of experience or equivalent combination of education and experience.
 <br/>
 <br/>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 Substantial experience from having completed Post Doc training. Established a record of publications
 <br/>
 <br/>
 <em>
  Qualified candidates must be able to effectively communicate with all levels of the organization.
  <br/>
  <br/>
 </em>
 NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
 <br/>
 <br/>
 NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
 <br/>
 <br/>
 View Know Your Rights: Workplace discrimination is illegal.
 <br/>
 <br/>
 NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $55,000.00 - $70,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.
 <br/>
 <br/>
 To view the Pay Transparency Notice, please click here
</div>


Assistant Research Scientist

Mount Sinai Health System

<div><b>Description</b><p>
Under direct supervision, performs routine and standard experiments and procedures as assigned; provides support services for research projects.</p><b><br>
Responsibilities</b><ul><li>
Under the direction of the Principal Investigator (PI), assists with simple experiments using standard techniques in area of specialty assigned; assists in maintenance of data/results of experiments.</li><li>
May prepare specimens and/or mix chemicals and other solutions and set up lab experiments.</li><li>
Maintains inventory of all research supplies; prepares purchase orders for reagents and supplies.</li><li>
Performs routine maintenance of equipment.</li><li>
Washes and sterilizes glassware</li><li>
Performs other related duties.</li></ul><br>
<b>
Qualifications</b><p>
Associates Degree in sciences (or related field) or HS/GED</p><p>
2+ years of related experience</p><p></p><p><br>
Non-Bargaining Unit, 845 - Orthopaedics - ISM, Icahn School of Medicine</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>
<p>
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>
<p><b>
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 $19.1117 - $26 Hourly. 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>

Research Assistant II - Orthopedics

DataAnnotation

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


Energy Research Scientist

Barnard College

<div><div>If you are a current Barnard College employee, please use the internal career site to apply for this position.</div><div></div><div>
Job:</div>
Research Assistant- Gertler<div></div>
Under the supervision of Professor Gertler, the Research Assistant will support various research responsibilities.<div></div><div>
Job Description:</div><div>
Duties include collecting, validating, and cleaning monthly tariff data between 2019 and 2025. Possible regression analysis of data included.</div><div></div><div>
Literature review, data collection and analysis supporting Professor Gertler's work may also be involved.</div><div></div><div>
Skills, Qualifications &amp; Requirements:</div><div>
Required: a bachelor's degree in a related field</div><div></div><div>
Pay Rate: $23/hour</div><div></div><div>
Total Hours: under 80 hours</div><div></div><div>
Duration: Now through May/June 2026, with the bulk of the work being done over the next 3-4 months</div><div></div><div><i>
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the College's good faith and reasonable estimate of the range of possible compensation at the time of posting.</i></div><div></div><div>
Company:</div>
Barnard College<div></div><div>
Time Type:</div>
Part time</div>

Research Assistant- Gertler

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
At Secure Work Enablement (SWE), we're pioneering breakthrough AI technologies that are fundamentally transforming how millions of teams and businesses work. Our mission combines leading machine learning research with Amazon's unparalleled expertise in enterprise computing and security to create the next generation of intelligent workplace solutions.<br>
<br>
Our portfolio encompasses four innovative domains where applied AI research is critical: Next-Generation End User Computing, where we're developing novel machine learning models for human-AI collaboration; Amazon One's advanced biometric systems; Secure Collaboration platforms Wickr and Chime; and Gaia &ndash; our revolutionary AI-native workspace that's redefining human-AI agent interactions. Each area presents unique opportunities for advancing the state-of-the-art in machine learning, natural language processing, and AI systems.<br>
<br>
We're at an inflection point where traditional workplace computing is being revolutionized by AI technologies. Our distinctive challenge lies in solving complex machine learning problems at scale while maintaining strict security requirements &ndash; from developing sophisticated ML models for secure information access to creating intelligent systems that can understand and enhance human productivity in real-time.<br>
<br>
With an accomplished team of 650+ technologists and multiple tier-1 services, we're seeking a Senior Principal Scientist to spearhead our AI research and development initiatives. This role offers the opportunity to tackle unprecedented challenges in applied machine learning, including:<br>
<br>
<ul><li>Developing novel AI architectures for secure, enterprise-grade collaborative systems</li><li>Advancing the science of human-AI interaction in workplace environments</li><li>Creating new frameworks for AI agent orchestration and optimization</li><li>Pioneering new approaches to privacy-preserving machine learning</li></ul><br>
Your scientific leadership will be crucial in defining and solving complex AI problems that will shape the future of work for years to come, working across multiple research teams and beyond SWE's boundaries.<br>
<br>
Key job responsibilities<br>
As a Senior Principal Scientist in Secure Work Enablement (SWE), you will have deep subject matter expertise in the area of large language models and generative AI across various modalities. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will invent new product experiences that enable teams and agents to collaborate effectively. You will have the opportunity to invent new approaches that help our customers achieve better results using natural language as the interface. Your inputs will shape the future of work.<br>
You will liaise with internal Amazon partners and work on bringing state-of-the-art LLM/GenAI models to production. You will stay abreast of the latest developments in the field of GenAI and identify opportunities to improve the efficiency and productivity of the team. You will define a long-term science vision for our business, driven by our customer&rsquo;s needs, and translate it into actionable plans for our team of applied scientists, and engineers. Finally, you will work with academic partners to support our in-house talent with direct access to leading research and mentoring.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>Graduate degree in Computer science/Math or related field.</li><li>Experience in building complex, real-time systems involving Agentic AI, Personalization and Reinforced Learning with successful delivery to customers. Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements.
</li><li>Computer Science fundamentals in data structures, algorithm design and complexity analysis.
</li><li>Ability to develop machine learning platform strategy in the domain of recommender systems.
</li><li>Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science.</li></ul><h2 class="jobSectionHeader"><b><br>
PREFERRED QUALIFICATIONS</b></h2><ul><li>15+ years of relevant, broad research experience after PhD degree or equivalent.</li><li>Ability to take a project from requirements gathering and design to actual product launch</li><li>Exceptional customer understanding skills including the ability to discover the true challenges to efficient product discovery, and experience in leading science efforts to meet timelines with optimal solutions. Deep expertise in Machine Learning as applied to large-scale generative models Proficiency in programming for algorithm and code reviews.</li><li>Strong core competency in mathematics and statistics.
</li><li>Track record of successful projects in algorithm design and product development.
</li><li>Publications at top-tier peer-reviewed conferences or journals.
</li><li>Strong prior experience with mentorship and/or management of senior scientists and engineers.
</li><li>Thinks strategically, but stays on top of tactical execution.
</li><li>Exhibits excellent business judgment; balances business, product, and technology very well.
</li><li>Effective verbal and written communication skills with non-technical and technical audiences. Experience working with real-world data sets and building scalable models from big data.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $240,100/year in our lowest geographic market up to $350,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Principal Scientist, Secure Work Enablement

Point72

<div><div><div><p><b>EXPERIENCE</b></p>
<div>Early Career</div>
</div><div><p><b>LOCATION</b></p>
<div>New York</div>
</div><div><p><b>FOCUS</b></p>
<div>Data Science &amp; Analytics | Systematic Data</div>
</div><div><p><b>BUSINESS</b></p>
<div>Cubist</div></div></div></div>
<br><div><h3 class="jobSectionHeader"><b>About Cubist</b></h3>
<p>
Cubist Systematic Strategies is one of the world&rsquo;s premier investment firms. The firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.</p><h3 class="jobSectionHeader"><b><br>
Role</b></h3>
<p>
We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.</p><p></p><p><br>
Cubist&rsquo;s data services group is looking for a Data Scientist Intern to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.</p><p></p><p><br>
This exceptional individual will be a member of a small team of Data Scientists/Analysts who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments.</p><h3 class="jobSectionHeader"><b><br>
Responsibilities</b></h3>
<ul><li>Analyzing financial datasets and preparing reports for investment teams</li><li>
Creating derived data content and data ingestion pipelines</li><li>
Identifying potential data sources</li><li>
Engaging with vendors to understand characteristics of datasets</li><li>
Defining and automating qualitative data checks</li><li>
Assisting with data questions and requests from investment teams</li><li>
Creating and maintaining internal documentation on datasets</li></ul><br>
<h3 class="jobSectionHeader"><b>
Requirements</b></h3>
<ul><li>Basic level programming experience in Python and SQL</li><li>
Financial industry experience preferred but not required</li><li>
Strong organization, communication, and interpersonal skills</li><li>
Attention to detail and a love of process</li><li>
Strong oral and written communication skills</li><li>
Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues</li><li>
Ability to multitask and prioritize assignments</li><li>
Commitment to the highest ethical standards</li></ul><p></p><p><br>
The annual base salary range for this role is $125,000-$130,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.</p></div>

Data Scientist Intern

NYU Stern Center for Sustainable Business

<p><b>The Stern CSB Mission and Team</b>: New York University&rsquo;s Stern Center for Sustainable Business (Stern CSB) aims to create a Better World Through Better Business.</p><p>Businesses operate in a constantly changing ecosystem that features fewer resources, a warmer climate, increased social inequity, as well as more engaged stakeholders and increased transparency. Business leaders must understand how these shifts impact their business and find innovative solutions to societal challenges while maintaining financial performance.</p><p>The NYU Stern Center for Sustainable Business (CSB) was founded on the principle that sustainable business is good business, and is proving the value of sustainability for business management and performance at a time when people and the planet need it most. At CSB, we aim to help future and current business leaders embrace proactive and innovative mainstreaming of sustainability, resulting in competitive advantage and resiliency for their companies as well as a positive impact for society.</p><p>CSB's research is anchored in understanding the value drivers underlying sustainability practices across industries, and we have turned that lens to private equity. Extensive interviews and consulting with GPs and LPs have informed the creation of frameworks and tools that help investors and portfolio companies identify material sustainability-related risk and opportunities, and develop strategies to create new enterprise value.</p><p><b>Your Contribution to the NYU Stern CSB</b>: In joining the NYU Stern CSB team as a Senior Research Scientist, you will be working directly with the Founding and current Directors of CSB as well as other research colleagues at CSB to lead our research into sustainability-linked value creation in private markets.</p><p><b>Responsibilities</b>:</p><ul><li>With support from the Founding Director, lead engagement and outreach with GPs to help them implement the CSB GP value driver tool and ROSI in their portfolios</li><li>Working with the ROSI team, develop additional tools and insights to help GPs and their portfolio companies generate sustainability-linked value creation</li><li>Explore opportunities for CSB to develop sustainability-linked value creation tools and case studies for private credit</li><li>With support from the Founding Director, lead engagement and outreach with LPs to help them implement the CSB LP value creation tool</li><li>Collaborate with LP and GP partner groups, as well as other stakeholders (e.g. PEZMET, ILPA, CERES, ADL and UNPRI) to drive uptake of our research</li><li>Lead thought leadership initiatives, such as organizing the annual private equity forum, and write articles and reports to disseminate research</li></ul><p><b>Benefits of Working with CSB</b>: As an employee of New York University and the Stern CSB, you will enjoy a competitive salary and generous benefits package that includes health care coverage, and 403b retirement savings. In addition, you will work with a collaborative team of sustainability professionals in an intellectually stimulating environment that offers ample opportunity for personal and professional growth.</p><p><b>Wage Transparency</b></p><p>In compliance with NYC&rsquo;s Pay Transparency Act, the annual base salary range for this position is $100,000-$250,000. 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.</p><p><b>Qualifications</b></p><p>Given the expectations described above, you should have 15+ years&rsquo; experience in finance. You should be an excellent communicator (verbally and in writing) and manage multiple on-going projects and priorities in a fast-paced work environment. You should also have a commitment to and passion for sustainable business and bring fresh ideas for research designed to drive and support change by practitioners.</p><p>Job Type: Full-time</p><p>Pay: $100,000.00 - $250,000.00 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Flexible spending account</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Paid time off</li><li>Parental leave</li><li>Professional development assistance</li><li>Tuition reimbursement</li><li>Vision insurance</li></ul><p>Work Location: Hybrid remote in New York, NY 10012</p>

Senior Research Scientist - Private Markets

Explore 219+ Assistant research scientist in New York this October. Find roles across top companies and apply now to boost your career.