associate researcher i - genetics (sebra lab)

associate researcher i-pathology molecular and cell based medicine

associate researcher i-pathology, molecular and cell based medicine

associate researcher ii - genetics (sebra lab)

account executive – public sector (sled)

software engineer

associate researcher i - genetics (sebra lab) Jobs in New York

associate researcher i-pathology molecular and cell based medicine Jobs in New York

associate researcher i-pathology, molecular and cell based medicine Jobs in New York

associate researcher ii - genetics (sebra lab) Jobs in New York

research scientist

Hungryroot

<div><p><b>About Us</b></p>
<p>
Hungryroot is using AI to build the most consumer-centric food and wellness company to ever exist. We act as your personal assistant for healthy living&mdash;getting to know your goals, lifestyle, and budget, and recommending and delivering healthy groceries, easy recipes, and essential supplements for you and your family.</p>
<p>
It's the easiest way to eat healthy, achieve your goals, save time, and discover new foods. We believe food is the foundation of health, convenience should not mean compromise, and that everyone is unique in how they eat and live. That's why we're building a future in which healthy living is both easy and enjoyable.</p>
<p>
Hungryroot is a distributed team of top talent across 28+ U.S. states. While we have a headquarters in New York City, our remote-first culture emphasizes collaboration, team-building, and flexibility. Expect regular virtual team events, strong ownership and accountability, and an annual company retreat.</p>
<p><b>
About the role</b></p>
<p>
We're looking for a Senior Operations Research Engineer to be a part of our growing Data Science team. You'll be responsible for working directly on our core Machine Learning/Operations Research algorithms for: grocery personalization, recipe selection, supply chain forecasting, clustering and more. As a member of the team, you will be building models collaboratively with others, and implement them in experimentation and production settings. You will be analyzing results of experiments, and will deep dive into the results to understand their impact, as well as plan next iterations.</p>
<p>
This role will join Hungryroot's Data Science team and you'll report directly to our Director of Data Science. In this critical role you will work closely with our data scientists and operation research experts to tackle the core challenges at the company that will be crucial to the success of Hungryroot. If you want to help us change how people grocery shop and eat for the better, we'd love for you to apply!</p>
<p><b>
Responsibilities</b></p>
<ul>
<li>Building out Operations Research modeling for our box filling algorithms, inventory forecasting, supply chain optimization</li>
<li>Machine learning modeling for our core grocery personalization algorithms</li>
<li>Data analysis, discussion and interpretation of experiment results</li>
<li>Data analysis and interpretation of production data to inform future experiments and decisions</li>
</ul>
<p><b>Qualifications</b></p>
<ul>
<li>Experience with optimization tools and libraries (Gurobi, CPLEX, PuLP) Gurobi is our primary platform for linear optimization</li>
<li>Knowledge of Machine Learning algorithms and systems, with at least one application built and deployed to production</li>
<li>Strong programming skills in Python</li>
<li>Proficiency in data manipulation, analysis, and visualization.</li>
<li>Excellent problem-solving skills and the ability to translate business problems into mathematical models.</li>
<li>Demonstrated ability to work independently and collaboratively in a fast-paced environment.</li>
<li>Be able to discuss the pros and cons of various solutions to a problem.</li>
<li>Ability to explain complex technical concepts to non-technical stakeholders.</li>
</ul>
<p><b>Nice to Haves</b></p>
<ul>
<li>Machine learning frameworks (e.g., scikit-learn, PyTorch)</li>
<li>Masters or PhD in Operations Research</li>
</ul>
<p><b>Perks &amp; Benefits</b></p>
<ul>
<li>Remote-first: work from home, work from our NYC office, work from anywhere in the U.S. - you decide!</li>
<li>Equity</li>
<li>Unlimited vacation policy</li>
<li>Universal paid parental leave</li>
<li>Monthly Hungryroot credit for delicious, healthy groceries</li>
<li>Comprehensive health, vision, dental, and life insurance</li>
<li>401k with Company Match</li>
<li>A work from home stipend to support your initial home-office setup</li>
</ul>
<p>Expected Salary Range</p>
<p>
$168,000-$210,000</p>
<p>
#LI-REMOTE</p>
<p>
The employer will not sponsor applicants for work visas.</p>
<p><i>
Our mission to help make healthy eating easy, accessible, and joyful is better served by a diverse workplace. We are a proud Equal Opportunity Employer committed to building an inclusive workplace. We have zero-tolerance for harassment or discrimination. We do not discriminate on the basis of any protected class.</i></p></div>

Senior Operations Research Engineer

Lyft

<div>
 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
 <br/>
 <br/>
 Data Science is at the heart of Lyft's products and decision-making. As a member of the Science team, you will work in a dynamic environment where we embrace moving quickly to build the world's best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products.
 <br/>
 <br/>
 As a Staff Data Scientist, Decisions on the Partnership, Loyalty &amp; Pay (PLP) team within Rider, you will leverage data and apply analytical thinking and causal inference to shape our rider and partner product vision, and make business decisions that put our customers first. You will identify improvement opportunities, propose and implement technical solutions, design experiments, and measure the impact of your team's decisions. You will partner closely with product, engineering, design, research, marketing, and business development to deliver programs end-to-end. You will also collaborate and build alignment with adjacent teams across Rider, Marketplace, and Finance to balance driver, rider, and business needs.
 <br/>
 <br/>
 <strong>
  Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Drive the data science roadmap across the Partnership, Loyalty, and Pay teams. Be a primary participant in defining team goals and setting the priorities of projects for the team to address
  </li>
  <li>
   Partner with org leads in product, engineering, UX research, design, marketing, and business development to initiate, design, develop, and scale zero-to-one programs and drive business strategy through data-centric recommendations
  </li>
  <li>
   Define and maintain key objectives and metrics to align with the overarching goals of Rider, Marketplace, and Lyft - including incrementality measurement for partnerships, retention impact of loyalty programs, and health of Pay products
  </li>
  <li>
   Apply modeling, advanced analytics, experimentation, and causal inference techniques (e.g., A/B testing, difference-in-differences, synthetic control, quasi-experimental methods) to drive decision-making at Lyft
  </li>
  <li>
   Drive cross-org impact and alignment, shaping product and business strategy through data-centric presentations to VP and C-level stakeholders
  </li>
  <li>
   Advise teams on best practices. Be a thought leader and go-to expert on measurement, incrementality, and causal inference for PLP stakeholders and dependency teams
  </li>
  <li>
   Provide technical guidance and mentorship to junior and mid-level team members on solution design and implementation; lead code reviews and elevate team-wide technical standards
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Degree in a quantitative field (e.g., Stats, Econ, Math, CS) at the Master's or PhD level, or equivalent professional expertise in high-impact environments
  </li>
  <li>
   6+ years of professional experience in data science, with a history of implementing causal models that result in tangible business value
  </li>
  <li>
   Subject matter expertise in the realms of causal inference, machine learning, and experimental design
  </li>
  <li>
   Sharp product sense and practical experience utilizing various causal methodologies
  </li>
  <li>
   Technical mastery of Python and SQL for data analysis and modeling
  </li>
  <li>
   Experience crafting sophisticated measurement frameworks, including counterfactual analysis and advanced experimentation to determine true incrementality
  </li>
  <li>
   Capability to unite cross-org partners, influence technical systems, and challenge existing scientific premises to steer product vision
  </li>
  <li>
   Strong communication skills to explain complex scientific results and the balance between velocity and rigor to executives and peers
  </li>
  <li>
   Proven track record of managing ambiguous problem spaces and converting broad business needs into structured scientific roadmaps
  </li>
  <li>
   Dedication to mentoring fellow scientists, raising the bar for technical excellence, and setting standards for modeling and reasoning
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Great medical, dental, and vision insurance options with additional programs available when enrolled
  </li>
  <li>
   Mental health benefits
  </li>
  <li>
   Family building benefits
  </li>
  <li>
   Child care and pet benefits
  </li>
  <li>
   401(k) plan with company match to help save for your future
  </li>
  <li>
   In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
  </li>
  <li>
   18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  </li>
  <li>
   Subsidized commuter benefits
  </li>
  <li>
   Monthly Lyft credits and complimentary Lyft Pink membership
   <br/>
   <br/>
  </li>
 </ul>
 Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
 <br/>
 <br/>
 Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule &mdash; Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
 <br/>
 <br/>
 The expected base pay range for this position in the New York City area is $176,000 - $220,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
</div>


Staff Data Scientist, Decisions - Partnership, Loyalty & Pay

Intuit

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><p>
Intuit is a global platform company that is on a mission to power prosperity worldwide for consumers, small businesses and the self-employed. Across our four leading brands &ndash; Turbo Tax, Credit Karma, QuickBooks, and Mailchimp &ndash; Intuit serves over 100M customers and is one of the few companies in the world to have both a thriving consumer and small business ecosystem. Intuit is known for its innovation track record, customer centricity, and its consistent recognition as a top place to work.</p><p>
Our team owns fraud policies across all the consumer lending and banking product suites &mdash; Onboarding risk, Money in Channels, ACH, RTP, OCT , ATO risk. We're hiring a Staff Analyst, Fraud Policy to own end-to-end policy decisions across these money movement rails: detecting emerging attacks, sizing the exposure, designing controls in our real-time decisioning stack, and defending the tradeoff between loss and member experience to leadership.</p><p>
This is a high-leverage seat. You'll work directly with fraud strategy, data science, engineering, dispute ops, and compliance to keep the ecosystem secure without breaking the experience for legitimate members ,utilizing cutting-edge AI technology to detect and prevent fraud while minimizing impact on good customers.</p><p><b><br>
Responsibilities</b></p><p>
This role will involve developing fraud risk policies for our innovative consumer lending and banking products, with a focus on fraud detection and prevention for new money movement products and features. You will create end-to-end risk policies and drive alignment with cross-functional stakeholders. Additionally, you will manage fraud risk aspects of business initiatives and respond to fraud-related events and demands. Expertise in fraud risk, financial analytics, and innovative risk strategies is required to enable Intuit's growth, expansion, profitability, and trust-enabled consumer experiences.</p><ul><li><p>
Use advanced analytical techniques to mine massive scale account and transactional data to build/optimize fraud risk strategies/policies, and translate into actionable business plans</p></li><li><p>
Lead the full cycle of risk strategy/policy work, including identify opportunities and action plan, develop and test policy, launch policy to production and monitor the performance</p></li><li><p>
Build subject matter expertise in different types of risks among money movement offerings to optimize the balance between risk mitigation and growth in the Intuit ecosystem</p></li><li><p>
Team up with our data scientist, risk operations, product, data engineering, analytics teams closely to drive customer segmentations, develop innovative risk strategies, and perform portfolio analyses</p></li><li><p>
Test into and recommend 3rd party data providers to solve individual stolen identity, ATO and other types of exposure risk</p></li><li><p>
Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our risk strategies</p></li><li><p>
 Must have good judgement with the ability to think creatively and strategically</p></li></ul><p><b><br>
Qualifications</b></p><ul><li><p>
Strong business acumen and exceptional analytical ability, with 5+ years of relevant experience and bachelors degree in quantitative fields such as Statistics, Mathematics, Finance, Data Science; or MS/PhD with 2+ years of relevant working experience.</p></li><li><p><b>
Preferred experience with Fintech, Payments, NeoBanking, Crypto, or Money Movement space.</b></p></li><li><p>
Working knowledge of the fundamentals of risk policy for consumer loans and line of credit including fraud detection and identity checks</p></li><li><p>
Demonstrated experience in designing experiments and using data-driven insights to solve business problems.</p></li><li><p>
Proficient in statistical analysis tools like SQL, Excel, Python, R, and data visualization tools. Familiarity with big data technologies such as Hive, Hadoop, and related concepts preferred.</p></li><li><p>
Polished partnership and communication skills, with the ability to interact cross-functionally with both business and technical partners. You tell stories with data to influence stakeholders and build consensus for plans of action.</p></li><li><p>
You thrive in a fast-paced environment, and are responsive and decisive during periods of peak fraud activity.</p></li><li><p>
Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively looking for business opportunities and drive new innovations</p></li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p><p></p><p><br>
Mountain View: $176,500 - $238,500</p><p>
New York City: $168,500 - $228,000</p></div>

Staff Fraud and Risk Analyst - Fintech

The New York Public Library

<div><h3 class="jobSectionHeader"><b>Description</b></h3><div><b><br>
This is not a remote role; this role is hybrid and requires three days a week in the office in NYC</b></div><div></div><div><b><br>
Job Summary</b></div><div></div><div><br>
NYPL is hiring a Software Engineering Manager to help lead our research teams in developing our suite of discovery and access tools. These include the Research Catalog, which provides access to over 20 million volumes and Digital Collections, which provides access to over a million digitized assets, as well as other tools that provide access to NYPL&rsquo;s extensive archives and special collections. These patron-facing applications are backed by a set of data pipelines and APIs that support discovery and ensure that patrons can request materials, make research appointments and order high-resolution scans, among other options. This role will ensure that these systems are maintained while helping lead strategic work that will help NYPL build a unified experience for our research patrons, ensuring that they have easy access to the incredible wealth of NYPL&rsquo;s collections.</div><div></div><div><br>
The Software Engineering Manager will manage 2 high performing teams of engineers that develop and maintain these tools, working to both continue their work and level them up in terms of skills and practices. Additionally this role will contribute to the technical leadership of NYPL Digital by helping set standards for best practices in development and other technical areas. It will be a key member of our engineering leadership and help ensure that our strategic priorities are well defined, deliverable and in line with the teams&rsquo; work. They will have the opportunity to partner with departments across NYPL to identify and deliver on shared priorities, helping continue NYPL&rsquo;s position as a leader in library technology.</div><div></div><div><b><br>
We are looking for someone we can count on to:</b></div><div>
<b>Own</b>:</div><ul>
<li>The day-to-day development work and priorities for the Research engineering teams</li>
<li>Strategic priorities and projects for the Research teams, including new feature development and the shipping of new products</li>
<li>Overall development roadmaps for the Research teams, ensuring capacity to tackle product work as well as routine maintenance and technical debt</li>
<li>A broad base of technical knowledge to be able to identify solutions for difficult problems in our Research products</li>
<li>Relationships between the Research engineering teams and both our internal Product/Project teams as well as stakeholders across NYPL</li>
</ul><div><b>Teach</b>:</div><ul>
<li>Support and mentor Research engineers, helping them deliver results on time and in accordance with department standards</li>
<li>Present on their and the team&rsquo;s work to technical and non-technical stakeholders</li>
<li>Build support for Research&rsquo;s work among interested parties across NYPL</li>
<li>Align approaches to development between engineering teams, sharing best practices</li>
</ul><div><b>Learn:</b></div><ul>
<li>Gain an understanding of library science practices, especially around the metadata standards and practices used in NYPL&rsquo;s Research systems</li>
<li>Investigate the connections between NYPL&rsquo;s different research tools to learn how records and metadata can be shared and connected between them</li>
<li>Collaborate with Engineering leadership to help improve NYPL Digital&rsquo;s culture and implement best practices is software development</li>
</ul><div><b>Improve</b>:</div><ul>
<li>Grow as a team member, collaborating with other NYPL engineers to solve problems</li>
<li>Retire legacy applications and replace them with modern, streamlined solutions</li>
<li>Identify hidden connections between our collections and design ways to surface them</li>
</ul><div><b>Some expectations for this role are that within:</b></div><div>
<b>1 month</b>, this person will:</div><ul>
<li>Build an understanding of NYPL&rsquo;s Research products and architecture</li>
<li>Meet with engineering team members as well as key stakeholders to understand the team&rsquo;s current workstreams and strategic priorities</li>
<li>Review and understand their teams&rsquo; current development practices and workflows</li>
<li>Collaborate with other engineering leaders to understand the current state of the engineering organization and its priorities</li>
</ul><div><b>3 months</b>, this person will:</div><ul>
<li>Understand the Research teams&rsquo; codebases, their status and development needs</li>
<li>Build a picture of the status of engineering team members with regards to the status of their work and their annual goals</li>
<li>Participate in design and priority discussions with product and project management</li>
<li>Lead conversations about the Research teams&rsquo; development progress and help report on status to Digital leadership</li>
</ul><div><b>6 months and beyond</b>, this person will:</div><ul>
<li>Provide mentorship to engineering team members on both project based work and longer term career goals</li>
<li>Regularly influence design and architecture discussions for Research products</li>
<li>Collaborate with engineering leadership to deliver new features across NYPL and facilitate the adoption of best practices based development in the department</li>
<li>Take overall responsibility for new engineering projects, coordinating engineers on the Research teams</li>
<li>Help lead product development by taking accountability for delivery, mentoring developers, fostering collaboration and generally aiding the adoption of best practices</li>
<li>Influence and empower the team to build useful, accessible applications in a sustainable and maintainable way</li>
</ul><div><b>Responsibilities:</b></div><ul>
<li>Manage the work and output of 6-8 engineers across NYPL&rsquo;s Research teams communicating priorities and system requirements clearly</li>
<li>Collaborate with the Research teams to build innovative and forward-looking applications for our patrons and staff</li>
<li>Work with product and project leadership to estimate the feasibility and complexity of new products and features</li>
<li>Hire, mentor and coach engineers on best practices and career growth</li>
<li>Foster a psychologically safe team environment &mdash; be transparent about challenges, failures, and successes, and encourage staff to ask questions, voice concerns, and engage critically with the work.</li>
<li>Research and recommend solutions driven by data and cost-benefit analysis, with an emphasis on automation and efficiency.</li>
<li>Encourage and enable engineers to adopt AI coding tools and agentic workflows where they improve quality, velocity, or developer experience, while maintaining strong code review, testing, and security practice.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Required Education, Experience &amp; Skills</b></h3><div><b><br>
Required Education and Certifications</b></div><ul><li>
Bachelor&rsquo;s Degree -OR-</li></ul><div><b>
Required Experience</b></div><ul>
<li>Equivalent 7 - 10 + years of hands-on development experience on relevant tech stack</li>
<li>At least 3 - 5 + years experience managing one or more engineering teams</li>
</ul><div><b>Required Skills</b></div><ul>
<li>Strong leadership, mentoring, coaching and decision-making skills</li>
<li>Excellent written and verbal communication skills</li>
<li>Demonstrated ability to level up individual engineers and engineering teams</li>
<li>Hands-on familiarity with modern AI coding assistants and agentic development tools (e.g., Claude Code, GitHub Copilot, Cursor, or comparable), and a point of view on where they help and where they don't</li>
<li>Track record of leading major technical initiatives to solve complex technical problems</li>
<li>Knowledge of non-technical strategies for solving team, culture and process problems</li>
<li>Experience establishing documentation standards and practices</li>
<li>Expertise in Python application development and system design, including production experience with Python web frameworks</li>
<li>Expertise in data pipeline architecture, data stores, queue processing and other tools</li>
<li>Strong understanding of system architecture and design patterns as well as cloud infrastructure (AWS, GCP, etc)</li>
<li>Strong understanding of DevOps practices and their impacts on technical delivery</li>
<li>Strong problem-solving skills and ability to navigate through ambiguity and drive results.</li>
</ul><div><b>Managerial/Supervisory Responsibilities:</b></div><ul>
<li>Support team of 6-8 engineers in their day-to-day work</li>
<li>Coach team members on both hard and soft skills</li>
<li>Provide feedback on team performance and motivate team to deliver on project goals</li>
<li>Keep team accountable and ensure delivery</li></ul><br>
<h3 class="jobSectionHeader"><b>
More...</b></h3><div><br>
<b>
Core Values</b><br>
<i>All team members are expected and encouraged to embody the NYPL Core Values:</i>
</div><ul><li>Be <b>Helpful</b> to patrons and colleagues</li>
<li>Be <b>Resourceful</b> in solving problems</li>
<li>Be <b>Curious</b> in all aspects of your work</li>
<li>Be <b>Welcoming</b> and <b>Inclusive</b>
</li></ul><div><b>Work Environment</b></div><ul>
<li>Hybrid work environment; requires onsite work in NYC three days a week</li>
<li>Office environment</li>
</ul><div><b>Physical Duties</b></div><ul><li>
N/A</li></ul><div>
<b>Pre-Placement</b> <b>Physical Required?</b>
</div><ul><li>No</li></ul><div><b>
Union/Non Union</b></div><ul><li>
 Non-Union</li></ul><div><b>
FLSA Status</b></div><ul><li>
Exempt</li></ul><div><b>
Schedule</b></div><ul>
<li>Monday - Friday; 9-5</li>
<li>Hybrid work environment, requires work in NYC three days a week</li>
</ul><div><i>This job description represents the types and levels of responsibilities that will be required of the position and shall not be construed as a declaration of all of the specific duties and responsibilities for the role. Job duties may change if Library priorities change. Employees may be directed to perform job-related tasks other than those specifically presented in this description as needed.</i><br>
<br>
<b><i>The New York Public Library</i></b><i> </i><b><i>Salary Statement</i></b>
</div><div>
<br>
At the Library, we believe that pay transparency and pay equity are important to ensuring we source the best candidates and keep the best employees. When making a determination as to the appropriate salary for a candidate, we consider a variety of factors such, including, but not limited to, the position requirements, the skills, prior experience, and educational background required or preferred for the job, the scope and impact of the role within the organization, internal peer equity, and the candidate's specific training, experience, education level, and skills. No single factor is conclusive; the Library reserves the right to consider any and all relevant factors and make a decision consistent with its policies.</div><div></div><div><br>
Union Salaries are determined by collective bargaining agreement(s).</div><h3 class="jobSectionHeader"><b><br>
About The New York Public Library</b></h3><div>
The New York Public Library is a free provider of education and information for the people of New York and beyond. With 92 locations&mdash;including research and branch libraries&mdash;throughout the Bronx, Manhattan, and Staten Island, the Library offers free materials, computer access, classes, exhibitions, programming and more to everyone from toddlers to scholars, and has seen record numbers of attendance and circulation in recent years. The New York Public Library serves more than 18 million patrons who come through its doors annually and millions more around the globe who use its resources at www.nypl.org.</div></div>

Software Engineering Manager, Research

NYU Langone Health

<div><p>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>
<i>For more information, go to</i> <i>med.nyu.edu</i>, and interact with us on <i>LinkedIn</i>, <i>Glassdoor</i>, <i>Indeed</i>, <i>Facebook</i>, <i>Twitter</i> <i>and</i> <i>Instagram</i>.</p>
<p><b>
Position Summary:</b><br>
We have an exciting opportunity to join our team as a Research Coordinator.
<br>
<br>
In this role, the successful candidate will be responsible for providing basic to moderate range of coordination for Research studies conducted at the Medical Center. Assists with recruitment, enrollment, grant submissions, research data collection and study coordination. Performs intra-operative monitoring and serves as liaison with the IRB and the internal and external funding agencies. Ensures accurate execution of research protocols in accordance with Good Clinical Practices, HIPAA and required obligations to patient/subject, Principal Investigator, research team and sponsor. Interfaces directly with patients/subjects and Principal Investigators in support of the clinical trials if applicable. Works under general supervision.</p>
<p><b>
Job Responsibilities:</b></p>
<ul>
<li>Study Regulations - Aware of study regulatory status and keeps an up to date copy of regulatory documents. Assists with the informed consent process and ensure that the patient/subject fully understands what is required of them throughout the study. Follows through regularly with the patient/subjects and reminds them of visits and compliance.</li>
<li>Clinical Competency: Position may require competency in performing EKG, phlebotomy technique, centrifuge, handling, storing and shipping of specimens. Clinical training and didactic competency tests may be required to perform basic procedures as part of position expectations. In house training and certification will be provided. Other trainings and competencies may be included as required.</li>
<li>Continuous Learning: Position requires ongoing continuing education in all areas of research development. It is expected that the employee demonstrates proof of ongoing research education on a yearly basis. Training programs are provided through the SOM.</li>
<li>Reporting and Analysis - Gathers and compiles data and assists in consolidating/analyzing data for presentation to sponsoring and regulatory agencies. Provides reports to all necessary parties (e.g., the principal investigator, sponsoring agency, etc.) on the progress of the study as needed. Conduct primary analysis to data collected. Formulates, prepares database and generates preliminary measurement reports for review by the PI.</li>
<li>Grants - Assists in the preparation of grant applications and related activities such as developing grants proposals and fund raising activities. Collects and organizes required paperwork for submission if required. Follows up and coordinates resolution of all issues progress reports to the sponsors to fund medical research in the division.</li>
<li>Budgets - May develop draft budgets and submit to the Principal Investigator. Assists in the preparation of funding reports to agencies. Helps to identify new potential sponsors/agents for trials and researches as assigned.</li>
<li>Participates in special projects and performs other duties as required.</li>
<li>Human Subjects' Research - If applicable, updates and submits necessary documents required by the NYU Institutional Board (IRB), NYU Office of Clinical Trials and any other appropriate parties in order to obtain approval to conduct human subjects research. Secures accurate signatures and forwards documents and/or forms to appropriate destination. Might prepare and submit monthly enrollment statistics to the Office of Clinical Trials and provide other information in timely manner, as necessary.</li>
<li>Research Activities - Collects patient information for the research project(s). This may include abstraction of data from the patient chart (e.g., laboratory or diagnostic test results, surgical/radiation treatments delivered, adverse drug reactions, etc); abstraction of data for publications, or data collection from outside physicians offices. Uses tools to facilitate data collection (e.g. calendars, schedules, tracking logs, etc). Audits and updates the database or the case report forms. Conducts study visits, obtains and documents information within the time frame specified. Research, collects, compiles and conducts preliminary analyses of data, statistics, and other materials for reports. Conduct preliminary analysis.</li>
<li>Recruitment - Screens potential patients/subjects for eligibility to the study and schedules the initial visits. This may include researching and gathering information from the medical record, physician referral, advertisement and directly scheduling a visit to evaluate the patient/subject. Reviews all the elements of the screening process with the Principal Investigator that include but not limited to: inclusion/exclusion criteria, completed informed consent, documentation of the event and the patient/subject willingness to participate in the study.</li></ul><br>
<p></p>
<p><b>
Minimum Qualifications:</b><br>
To qualify you must have a Bachelor's degree in life sciences, allied health or equivalent in a related discipline and 0-1 years experience or an equivalent combination of education and experience. Effective oral, written, communication, interpersonal skills. Must be able to work under the direction of supervision. Ability to operate research related equipment. Proficiency in using various Microsoft Office applications such as World, Excel, Access, Power Point and Outlook. Familiar with Internet applications. Ability to identify, analyze and solve problems. Time management skills and ability to work well under pressure.</p>
<p><b>
Preferred Qualifications:</b><br>
Knowledge of basic medical terminology is preferred. Prior experience working with Research Protocols. Experience working in an academic medical center environment</p>
<p><i>
Qualified candidates must be able to effectively communicate with all levels of the organization.</i>
<br>
<br>
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.</p>
<p>
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 $66,300.00- $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.</p>
<p>
To view the Pay Transparency Notice, please click here</p></div>

Research Coordinator

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Are you intellectually curious, highly communicative, an efficient writer, and good at building relationships, triangulating data, and solving puzzles? You have found the right team!</p><p>
One of the world's most highly respected advisory franchises, J.P. Morgan's fundamental and quantitative research provides thoughtful and differentiated analyses on sectors and companies and actionable ideas and thematic insights that empower our clients to make well-informed investment and strategic decisions.</p><p><b>
Job Description:</b></p><p>
As a Vice President in Equity Research covering Oil and Gas, you will become an industry expert, helping to conduct and facilitate industry analysis and company-specific coverage. This involves core research ranging from dissecting earnings releases and regulatory filings to assessing relevant news events, modeling financial statements and industry dynamics, performing detailed valuation work, writing research notes and sector pieces, and speaking to internal and external clients and management teams about the stocks and sector. You will work with our partners in both Sales and Trading to provide comprehensive client coverage, including fulfilling client requests for market updates and market intelligence. Research is fast-paced, demanding and intellectually stimulating. We look for candidates who possess strong accounting, finance, quantitative and business writing and communication skills, as well as modelling, forecasting, and valuation experience.</p><p>
Job Responsibilities:
</p><ul><li>Build and maintain Excel-based models to forecast company financials and project industry dynamics</li><li>
Perform detailed valuation work to support stock recommendations</li><li>
Analyze complex data sets, news releases, regulatory filings, and industry events to shape your view of the industry and companies under coverage</li><li>
Write research notes on covered companies and sector reports and prepare presentations</li><li>
Build relationships and communicate effectively with internal and external clients, industry experts, and management teams
</li><li>Fulfill client requests in a timely and thorough manner</li><li>
Demonstrate intellectual curiosity and seek to generate ideas for differentiated research product</li></ul><p>
Required Qualifications, Capabilities and Skills:</p><ul><li>
FINRA licenses Series 86 and Series 87</li><li>
Two to three years of experience in equity research and/or investment banking</li><li>
Strong accounting, finance, quantitative and business communication skills, as well as modelling, forecasting, and valuation experience</li><li>
Advanced level of proficiency in Excel</li><li>
Ability to multi-task and collaborate within a team environment as well as work independently
</li><li>High level of organizational skills, excellent attention to detail, and a proven ability to meet deadlines in a dynamic environment</li><li>
Passion for the markets and interest in the Oil and Gas sector</li></ul><p>
Preferred Qualifications, Capabilities and Skills:</p><ul><li>
CFA charterholder or progress towards CFA</li><li>
Some coding capabilities &ndash; e.g., VBA, Python</li></ul>
<b>ABOUT US</b><br>
<br>
<br>
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

US Equity Research - Oil & Gas - Vice President

Columbia University

<div><ul><li>Job Type: Support Staff - Non-Union</li>
<li>Bargaining Unit:</li>
<li>Regular/Temporary: Regular</li>
<li>End Date if Temporary:</li>
<li>Hours Per Week: 35</li>
<li>Standard Work Schedule:</li>
<li>Building: Morningside</li>
<li>Salary Range: $58,000.00 - $62,000.00</li>
</ul><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 University's good faith and reasonable estimate of the range of possible compensation at the time of posting.</i></div><br>
<div></div>
<p></p>
<p>Position Summary</p>
<p>
A Research Assistant position is available immediately in the Laboratory for Stem Cells and Tissue Engineering directed by Dr. Gordana Vunjak-Novakovic. We are looking for a highly motivated Research Assistant skilled in cell and tissue culture and basic laboratory techniques to join our dynamic laboratory team. We are working on multiple tissue engineering projects for improving human health. Please see our website for more information: gvnlab.bme.columbia.edu</p>
<p>
We expect the Research Assistant to show competence and independence in performing tasks. Most of the procedures will be routine and done by following well-established protocols. Strong experimental skills and published experience in the area of the project are encouraged. The Research Assistant is expected to work closely with lab members and collaborators, working on the project.</p>
<p></p>
<p>Responsibilities</p>
<p><b>
(50%) </b><b>Cell and tissue culture.</b></p>
<p>
Maintain and culture multiple human cell lines, including induced pluripotent stem cells (iPSCs), under aseptic conditions.</p>
<p>
Develop and execute iPSC differentiation protocols to generate tissue-specific cell types for vascular and disease modeling applications, with a focus on cystic fibrosis.</p>
<p>
Maintain standardized protocols for reproducibility and quality assurance; contribute to ongoing development and optimization of experimental procedures.</p>
<p><b>
(30%) </b><b>Laboratory analytics</b></p>
<p>
Perform analytical assays including ELISA, immunofluorescence staining, and confocal/fluorescence microscopy to characterize cell and tissue constructs.</p>
<p>
Quantify and analyze imaging data using ImageJ and other image analysis software; apply Python or MATLAB scripting for data processing and visualization where appropriate.</p>
<p>
Collect, analyze, and interpret datasets; prepare technical reports and publications.</p>
<p><b>
10%</b></p>
<p>
Assist in the design and fabrication of tissue engineering experiments, including iPSC-derived vasculature models and 3D cell-laden constructs for lung disease applications.<br>
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Prepare 3D cell culture constructs, including hydrogel encapsulation systems; assess cell viability and functional metrics post-fabrication.<br>
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Perform primary cell isolation from human and animal tissue samples; contribute to cell banking and cryopreservation workflows.<br>
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Assist in the development and testing of new device or scaffold prototypes, applying engineering design principles including specification definition, iterative testing, and documentation.</p>
<p><b>
10%</b></p>
<p>
Provide technical support across multiple concurrent laboratory projects, including cross-functional collaboration with graduate students, postdocs, and external collaborators.<br>
<br>
Perform standard scientific assays including western blot, ELISA, immunostaining, and flow cytometry; troubleshoot protocols and document procedures for laboratory records.<br>
<br>
Assist with the training and onboarding of junior laboratory members in cell culture techniques, microscopy, and data analysis; support laboratory inventory management and equipment maintenance.<br>
<br>
Performs related duties and responsibilities as assigned/requested.</p>
<p></p>
<p>Minimum Qualifications</p>
<p>
Bachelor's degree required in a scientific discipline.</p>
<p>
Minimum two (2) years of experience in a research environment.</p>
<p>
Specific skills and/or knowledge required for the position:</p>
<p>
Human cell and tissue culture.</p>
<p>
Proficiency in basic laboratory procedures.</p>
<p>
Excellent interpersonal skills.</p>
<p></p>
<p>Preferred Qualifications</p>
<p>
B.S. in Bioengineering or a related field with work at least 2 years&rsquo; experience in biomedical/bioengineering laboratory or</p>
<p>
M.S. with 1-2 years&rsquo; work experience.</p>
<p>
Interest in research.</p>
<p>
Strong experience with cell culture.</p>
<p></p>
<p>Equal Opportunity Employer / Disability / Veteran</p>
<p>
Columbia University is committed to the hiring of qualified local residents.</p></div>

Research Assistant

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