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consumer insights analyst Jobs in New York

consumer insights analyst

data analyst - advertiser Jobs in New York

data analyst - advertiser

data analyst, (vendor/procurement) Jobs in New York

data analyst, (vendor/procurement)

data reporting analyst

data scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
In this role, you will build scalable solutions and sophisticated models that identify and drive growth opportunities for Amazon Ads teams, specifically within Amazon's Demand Side Platform (ADSP). You will leverage machine learning, simulation, and advanced statistical techniques to explain complex patterns, quantify business impact, predict future trends, and prescribe actionable strategies that inform critical business decisions at the highest levels of the organization. You will work with various stakeholders to align on priorities, with the understanding that scope and direction may evolve based on organizational needs. You will translate business goals into agile, insightful analytics that create tangible value for both stakeholders and customers, and communicate your findings clearly and actionably to managers and senior leaders so they can quickly understand insights and take decisive action.<br>
<br>
You will set the strategy for ads delivery and quality and establish the measurement and decision frameworks. A core mandate for this role is to identify, instrument, and operationalize the input metrics that most directly drive ads delivery, quality, and performance, ensuring we optimize the levers that move outcomes rather than simply reporting on lagging KPIs.<br>
<br>
Key job responsibilities<br>
<ul><li>You will define and execute in-depth data analysis that drives data-informed decision making for product, sales, and finance teams who speak on behalf of advertisers.</li></ul><br>
<ul><li>You will establish and drive data hygiene best practices to ensure coherence and integrity of data feeding into production ML/AI solutions.</li></ul><br>
<ul><li>You will identify, instrument, and operationalize the input metrics that most directly drive ads delivery, quality, and performance, creating robust measurement frameworks.</li></ul><br>
<ul><li>You will collaborate with colleagues across science and engineering disciplines for fast turnaround proof-of-concept prototyping at scale.</li></ul><br>
<ul><li>You will partner with product managers and stakeholders to define forward-looking product visions and prospective business use cases.</li></ul><br>
<ul><li>You will set the strategy for ads delivery and quality, establishing decision frameworks that enable teams to move from reactive reporting to proactive optimization.</li></ul><br>
<ul><li>You will drive and lead a culture of data-driven innovations within the Amazon AdTech org.</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>2+ years of data scientist experience</li><li>Bachelor's degree</li><li>Experience applying theoretical models in an applied environment</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in Python, Perl, or another scripting language</li><li>Experience in a ML or data scientist role with a large technology company</li></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.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, NY, New York - 153,400.00 - 207,500.00 USD annually<br>
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div><p></p>

Data Scientist II, ADSP Product Operations & Analytics

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Mountain View, CA, USA; New York, NY, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>PhD degree in Computer Science, a related field, or equivalent practical experience.
<br>
</li><li>2 years of experience leading a research agenda.
<br>
</li><li>One or more scientific publication submission(s) for conferences, journals, or public repositories.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>2 years of coding experience.
<br>
</li><li>1 year of experience leading research efforts and influencing other researchers.<br>
</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.</p><p>
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.</p>
<p>
Google Research 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.</p><p>
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.
</p><p>Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Author research papers to share and generate impact of research results across function and in the research community.<br>
</li>
<li>Help in growing research business by sharing research trends and best practices within the community.<br>
</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.<br>
</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.<br>
</li>
<li>Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them.<br>
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Research Scientist, Google Research

Child Mind Institute

<div><p><b>About Child Mind Institute</b></p><p>
We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments.</p><p></p><p><b><br>
Position Details:</b></p><p>
As part of the DAIR team, you will report to the Director, DAIR. You will help provide oversight for the development, implementation and analysis of multimodal modal brain and body imaging (MoBI) studies of behavior and brain function with particular focus placed on the application of advanced statistical learning techniques to multimodal datasets for the purpose of identifying biomarkers, signals, or trends that have clinical utility. Translational models will be employed as needed to understand phenomenology underlying biomarkers and establish their validity. The Research Scientist will help develop short- and long-term work goals for data analysts and provide supervision and mentoring for junior research staff. The Research Scientist will ultimately function as a Principal Investigator, providing leadership in these areas and building a portfolio of scientific evidence, fundable projects, and software and analytic tools in the area of multimodal brain and body imaging and biometrics. This is an exempt, full-time, hybrid position located in our NYC headquarters office or other relevant location. This position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor. The in-office requirement and schedule are subject to change based on the needs of the program and the organization.</p><p></p><p><b><br>
You Will:</b></p><ul><li><p>
Procurement and development of multimodal dataacquisition protocols.</p></li><li><p>
Development, application, and refinement of analytic approaches for multimodal data.</p></li><li><p>
Prepare manuscripts for publication in peer-reviewed scientific journals.</p></li><li><p>
Prepare grant applications directly as principal and co-investigator.</p></li><li><p>
Assistance in the guidance and mentoring of DAIR and MoBI team research staff (e.g.,research assistants, data analysts, post-doctoral fellows).</p></li><li><p>
Strategic planning and oversight for the development and qualityassurance for DAIR and MoBI team research databases and related infrastructure.</p></li><li><p>
Formation and maintenance of collaborative relationships with scientific peers.</p></li><li><p>
Perform additional job-related responsibilities as assigned</p></li></ul><p></p><p><b><br>
You Have:</b></p><ul><li><p>
PhD in electrical engineering, bioengineering, computer science, biophysics, appliedmathematics, or neuroscience, with two years or more of postdoctoral training in one ormore measurement modalities for brain function (inclusive of training, if applicable).</p></li><li><p>
5+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning), preferably in a clinical or research setting.</p></li><li><p>
5+ years of experience in at least one scientific programming language (e.g., Python/R,Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars,Pytorch) is required.</p></li><li><p>
5+ years of combined experience and education in the collection and/or analysis of mental health-related data modalities, such as MRI, EEG, physiological measures, eye-tracking, developing computer-based tasks, or ecological assessments.</p></li><li><p>
2+ years of supervising experience by mentoring predoctoral trainees</p></li><li><p>
Must be considered NIH-eligible to serve as a Principal Investigator on grant submissions.</p></li><li><p>
Must have a demonstrable track record of conducting experiments, writing analyses, and communicating results through scientific posters, presentations, and papers.</p></li><li><p>
Must be broadly considered a strong and qualified researcher in signal processing, image analysis, and software development.</p></li><li><p>
An outstanding academic and research background in a disciplinary area relevant to the Child Mind Institute, including relevant academic qualifications.</p></li></ul><p></p><p><br>
 #LI-hybrid.</p><p></p><p><b><br>
Our Benefits</b></p><div></div><div><p><br>
Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website.</p></div><p></p><p><b><br>
Pay Range</b></p><p>
The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting.</p><p></p><p><b><br>
EEO Disclaimer</b></p><p>
Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind.</p><p></p><p><br>
We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws.</p><p></p><p><br>
In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL).</p><p></p><p><br>
Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at hr@childmind.org</p><p></p><p><br>
This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.</p></div><p></p>

Research Scientist

Munich Re Life US

<div><div><b>Location</b> New York, United States <b>Job type</b> Full-Time <b>Work mode</b> Hybrid <b>Job level</b> Internship &amp; Working Student <b>Job ID</b> 10309 <b>Company</b> Munich Re Life US <b>Employment type</b> Temporary <b>Area of expertise</b> Data, BI &amp; Analytics</div></div><p></p>
<br><div><div><p><b>POSITION: </b>Data Science Intern, NA Integrated Analytics (2026 Summer - New York)<br>
<b>LOCATION: </b>New York, NY<br>
<b>ANTICIPATED START DATE:</b> Summer 2026</p><p></p><p><i><br>
Together, we engage with everything we have and are, to help humankind act braver and better.</i></p><p></p><p>
As the world&rsquo;s leading reinsurance company with more than 40,000 employees in over 50 locations around the globe, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into manageable risk, we enable fundamental change. We recognize Diversity, Inclusion, and Belonging as a key priority with a culture that welcomes different thoughts and opinions. We dare to think big and are continuously innovating on behalf of our clients.</p><p></p><p>
How can ML promote longer and healthier lives? Armed with decades of risk data, novel data sources, and a team of innovative data scientists, engineers, and domain experts, Munich RE is building solutions that are transforming the life insurance industry.</p><ul><li>
Develop solutions that allow easier access to insurance and healthier lifestyles</li><li>
Build highly scalable products with best security, ML, DevOps practices</li><li>
Research bias and fairness, disease models, NLP &amp; more</li><li>
Discover diverse careers with leadership opportunities</li><li>
Flexible remote/in-person work + focus on work-life balance</li><li>
Be part of a fast-growing team that values transparency &amp; diversity</li></ul><p><b><br>
Our internship placements provide you with an excellent opportunity to practically apply your classroom and technical training in the reinsurance industry. While with our team, you&rsquo;ll be; coached by experienced industry professionals, exposed to Munich Re leadership, challenged as a valuable team member and contributor doing meaningful work, and mentored to develop a solid foundation that will help position you as a future leader in the field.</b></p><p></p><p><b>
Munich Re is operating under a hybrid working model, including 3 days in office/week with the remaining days working from home. Students are expected to relocate to the city in which they work for the duration of their co-op, so they can fully benefit from the full program integration. This provides a great opportunity to network, develop soft skills and become immersed within the greater Munich Re culture; including engaging with your team while in-office for face-to-face meetings, sharing meaningful moments, and allocating time to connect with your Manager.</b></p><p><br>
To learn more about the North American Integrated Analytics team, please visit our site: https://www.munichre.com/us-life/en/solutions/integrated-analytics.html</p><p><b><br>
THE ROLE:</b><br>
Responsibilities may include, but will not be limited to the following:</p><ul><li>
Supporting the development of statistical and machine learning techniques to assist with building models for underwriting, pricing, and claims management;</li><li>
Assist in building and implementing solutions that enable operational units to improve quality and speed of core processes in order to generate incremental revenue or reduce expense;</li><li>
Help research new ways of modeling data to unlock actionable insights or improve processes;</li><li>
Collaborate across Munich Re functions to understand how analytics can influence business decisions;</li><li>
Network with existing data science groups at Munich Re.</li></ul><p></p><p><b>
QUALIFICATIONS:</b><br>
We&rsquo;re looking for well-rounded individuals who are technically astute, have strong communication skills, and demonstrate the ability to build positive relationships with internal clients. We&rsquo;re seeking energetic and collaborative professionals who are excited to join our winning team and show promise of becoming a future leader in the data science space.</p><p></p><p>
Specifically, we&rsquo;re looking for the following qualifications:</p><p></p><p><i>
Technical:</i></p><ul><li>
Undergraduate or Graduate degree in Computer Science, Statistics, Data Science/Analytics, Applied Mathematics, Engineering (Physics, Bioinformatics) &ndash; or equivalent program offering coursework manipulating large datasets;</li><li>
Familiarity working with analytics through the modeling lifecycle including gathering data, design, recommendations, testing, implementation, communication, and revisions;</li><li>
Familiarity with advanced predictive analytic techniques;</li><li>
Experience working with any of the following: SQL, Python, or R (familiarity with multiple languages considered an asset).</li></ul><p><i>
Behavioral:</i></p><ul><li>
Solid communication skills; spoken &amp; written, formal/informal presentation;</li><li>
Resourceful and able to learn quickly;</li><li>
Proven ability to thrive in a dynamic environment.</li></ul><p><i>
Preferred (but not required):</i></p><ul><li>
Familiarity with big data technologies (ex: Apache Spark, +, etc) and deep learning models (such as tensorflow);</li><li>
Previous exposure to insurance or financial services environment is preferred but not required.</li></ul><p></p><p>
Note that this opportunity is open to current students who are returning to in-class studies upon the completion of the internship.</p></div></div><p></p>
<br><div><div><div><h2 class="jobSectionHeader"><b>Your Benefits</b></h2>
<p>With us, you get more than just an exciting job. Enjoy a wide range of employee benefits tailored to your wellbeing and development. Please note that regional differences may apply.</p>
</div><div><div><p>Competitive Salary</p>
<p>We provide fair and competitive compensation that reflects your performance and commitment.</p>
</div><div><p>Company performance-based Incentives</p>
<p>In addition to your salary, our variable compensation approach allows you to share in Munich Re's success.</p>
</div><div><p>Recognition and Special Rewards</p>
<p>We recognise outstanding individual contributions through a variety of targeted rewards and incentives.</p>
</div><div><p>Retirement Planning</p>
<p>We support your long-term financial wellbeing with retirement solutions aligned with local regulations.</p>
</div><div><p>Inclusive Workplace Culture</p>
<p>We foster a respectful, inclusive, and values-driven environment.</p>
</div><div><p>Learning &amp; Development</p>
<p>We offer tailored learning opportunities with a strong focus on core skills and business-critical knowledge.</p>
</div><div><p>Work-Life-Balance</p>
<p>Supporting your ability to balance family, leisure, and your career.</p>
</div><div><p>Health &amp; Wellbeing</p>
<p>We support your physical and mental health through a range of programs and activities in each location.</p></div></div></div></div>

Data Science Intern, NA Integrated Analytics (2026 Summer - New York)

Origin Harbor Capital Solutions

<div><div>Summary</div><div>
The Multi-Asset Solutions Team (MAST) manages a suite of active investment ETFs and delivers standard and customized multi-asset portfolio solutions across approximately $5 billion in AUM. Portfolios span U.S. and international equities, fixed income, and commodities.</div><div></div><div>
MAST&rsquo;s investment process combines systematic quantitative models with a qualitative investment overlay. The Quantitative Research function is central to this process, designing, maintaining, and enhancing the models that translate market and macroeconomic information into portfolio allocations. These include:</div><ul><li>
Market regime and business-cycle detection models</li></ul><ul><li>
State-space and signal-aggregation frameworks</li></ul><ul><li>
Bespoke portfolio optimization engines</li></ul><ul><li>
Scenario analysis and Monte Carlo simulations for outcome evaluation</li></ul><div></div><div>
The Quantitative Research Analyst plays a hands-on role in both portfolio production and model development, working closely with portfolio managers and the trade operations to ensure research insights are translated into robust, implementable portfolios.
</div><div></div><div>Key Responsibilities</div><div>
The Quantitative Analyst will:</div><ul><li>
Own the day-to-day operation of MAST&rsquo;s systematic portfolio process</li></ul><ul><li>
Produce optimized and implementation-ready portfolios for PM review</li></ul><ul><li>
Apply and document investment overrides, translating model output into tradeable portfolios</li></ul><ul><li>
Conduct independent research to improve signals, models, and portfolio construction</li></ul><div></div><div>
This role sits at the intersection of research, portfolio management, and implementation, and requires both strong quantitative skills and sound investment judgment.</div><div></div><div>
Portfolio Production &amp; Implementation</div><ul><li>
Run and maintain the systematic portfolio construction process</li></ul><ul><li>
Generate optimized and implementation portfolios and explain key drivers of allocations</li></ul><ul><li>
Partner with PMs to assess model output, apply overrides, and prepare portfolios for execution</li></ul><ul><li>
Ensure consistency, accuracy, and robustness of production outputs</li></ul><div></div><div>
Research &amp; Model Development</div><ul><li>
Research and develop quantitative methods for asset allocation, regime modeling, and portfolio optimization</li></ul><ul><li>
Enhance existing models and analytics through data, methodology, or implementation improvements</li></ul><ul><li>
Perform back-testing, scenario analysis, and sensitivity studies</li></ul><ul><li>
Conduct ad hoc quantitative analyses to support investment decisions</li></ul><div></div><div>
Key Behavioral Expectations</div><div>
Drives for Results</div><ul><li>
Demonstrates ownership, accountability, and urgency</li></ul><ul><li>
Delivers high-quality output aligned with Harbor&rsquo;s investment objectives</li></ul><div></div><div>
Unleashes Innovation</div><ul><li>
Actively explores new ideas, techniques, and data sources</li></ul><ul><li>
Challenges existing approaches while maintaining discipline and rigor</li></ul><div></div><div>
Communication &amp; Engagement</div><ul><li>
Clearly articulates complex ideas and recommendations</li></ul><ul><li>
Engages effectively with PMs, peers, and cross-functional partners</li></ul><div></div><div>
Minimum Qualifications</div><ul><li>
Bachelor&rsquo;s degree in a quantitative discipline (e.g., data science, finance, economics, mathematics, statistics, physics); advanced degree preferred</li></ul><ul><li>
Strong proficiency in Python; experience with databases and data pipelines preferred</li></ul><ul><li>
The ideal candidate would have a solid understanding of financial markets as well as strong quantitative (data science) background. However, a candidate with either skill will be considered if they have a desire to learn the other</li></ul><ul><li>
3&ndash;5 years of relevant investment or quantitative research experience preferred</li></ul><ul><li>
Progress toward the CFA designation is a plus</li></ul><div></div><div>
Knowledge, Skills, &amp; Abilities Required</div><div>
The ideal candidate is intellectually curious, outcome-driven, and able to exercise sound judgment in ambiguous situations. They are comfortable working across multiple initiatives and functions in a fast-paced investment environment.</div><ul><li>
Strong analytical and quantitative reasoning skills</li></ul><ul><li>
Experience with advanced statistical, machine learning or data science methods preferred</li></ul><ul><li>
Ability to translate quantitative output into investment-relevant insights</li></ul><ul><li>
Comfortable working independently and collaboratively in a fast-paced investment environment
</li></ul><div></div><div>Preferred Skills</div><ul><li>
Experience with large, complex financial or macroeconomic datasets</li></ul><ul><li>
Familiarity with portfolio analytics, factor models, and back-testing frameworks</li></ul><ul><li>
Experience with relational databases (e.g., SQL Server, Postgres)</li></ul><ul><li>
Interest in building production-quality research tools and APIs</li></ul><div></div><div>
Compensation Pay Range: This position offers a competitive base salary range of $170,000&ndash;$200,000, commensurate with experience and qualifications.</div></div>

Quantitative Research Analyst

Immunai

<div>
 <strong>
  About Immunai:
  <br/>
  <br/>
 </strong>
 Immunai is an engineering-first platform company aiming to improve therapeutic decision-making throughout the drug discovery and development process. We are mapping the immune system at unprecedented scale and granularity and applying machine learning to this massive clinico-immune database, in order to generate novel insights into disease pathology for our partners - pharma companies and research institutes. We provide a comprehensive, end-to-end solution - from data generation and curation to therapeutics development, that continuously supports and validates the capabilities of our platform.
 <br/>
 <br/>
 As drug development is becoming increasingly inefficient, our ultimate goal is to help bring breakthrough medicines to patients as quickly and successfully as possible.
 <br/>
 <br/>
 Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
 <br/>
 <br/>
 <strong>
  About the role:
  <br/>
  <br/>
 </strong>
 We seek an exceptionally motivated
 <strong>
  Systems Immunologist
 </strong>
 to join our team of talented researchers in a highly collaborative startup environment at the intersection of immunology, AI, and new genomic technologies. This position offers an opportunity to work on a diverse set of projects related to human immunology, with a focus on cancer immunology and autoimmunity, in support of multiple projects.
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 New York, NY (Hybrid position, must be based in New York City)
 <br/>
 <br/>
 <strong>
  Reporting to:
 </strong>
 Systems Immunology Team Lead, External Collaborations
 <br/>
 <br/>
 <strong>
  What will you do?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work on various clinical collaborations with pharma partners related to drug mechanism of action, dose selection, and biomarker identification.
  </li>
  <li>
   Contribute to project planning as an immunology expert; including goals, activities, and timelines, with limited involvement from the direct manager.
  </li>
  <li>
   Lead the translation of data analysis to biological insights with the goal of generating actionable recommendations to inform drug development.
  </li>
  <li>
   Perform literature reviews to establish and maintain a deep understanding of project-specific immunological concepts, and simultaneously maintain a broad understanding of the most current updates in the field, specifically as it relates to immunotherapies, immunology, and single-cell technologies.
  </li>
  <li>
   Clearly communicate findings to external stakeholders in the form of presentations and data reports.
  </li>
  <li>
   Advise computational teams on matters of immunology.
  </li>
  <li>
   Take an active role in shaping Immunai&rsquo;s bioinformatic platforms to reflect immunological insights.
   <br/>
   <br/>
  </li>
 </ul>
 Requirements:
 <br/>
 <br/>
 <strong>
  Required qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ph.D. related to immunology and a minimum of 2-5 years related experience (postdoc or industry) - A MUST
  </li>
  <li>
   Experience dealing with NGS data (especially single-cell RNA sequencing) including coding and data analysis in R or python - A MUST
  </li>
  <li>
   Strong analytical skills, problem-solving ability, attention to details, and innovation aptitude
  </li>
  <li>
   Excellent communication and presentation skills
  </li>
  <li>
   Excellent interpersonal skills and ability to work effectively as part of a team
  </li>
  <li>
   Excellent organization and time management skills, with an ability to multitask
  </li>
  <li>
   Ability to work independently with minimal supervision
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired personal traits:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You want to make an impact on humankind
  </li>
  <li>
   You prioritize &ldquo;We&rdquo; over &ldquo;I&rdquo;
  </li>
  <li>
   You enjoy getting things done and striving for excellence
  </li>
  <li>
   You collaborate effectively with people of diverse backgrounds and cultures
  </li>
  <li>
   You have a growth mindset
  </li>
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   You are candid, authentic, and transparent
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation:
 </strong>
 This position offers a base salary typically between $125,000 and $140,000. There is an opportunity to consider higher compensation above this range based on business need, candidate experience, and or skills.
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 <ul>
  <li>
   Please note that when you apply for a position at Immunai, your application will be processed via our recruitment platform Comeet. You can read more about how we process personal data here: https://www.immunai.com/privacy-policy/
  </li>
 </ul>
</div>


Scientist II, Systems Immunology

<div><div><b>Location</b> New York, United States <b>Job type</b> Full-Time <b>Work mode</b> Hybrid <b>Job level</b> Internship &amp; Working Student <b>Job ID</b> 10304 <b>Company</b> Munich Re Life US <b>Employment type</b> Temporary <b>Area of expertise</b> Engineering &amp; Inspection</div></div><p></p>
<br><div><div><p><b>POSITION:</b> Engineering Intern, NA Integrated Analytics (2026 Summer-New York)<br>
<b>LOCATION</b>: Toronto, ON<br>
<b>ANTICIPATED START DATE:</b> Summer 2026</p><p></p><p><i>
Together, we engage with everything we have and are, to help humankind act braver and better.</i></p><p></p><p>
As the world&rsquo;s leading reinsurance company with more than 40,000 employees in over 50 locations around the globe, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into manageable risk, we enable fundamental change. We recognize Diversity, Inclusion, and Belonging as a key priority with a culture that welcomes different thoughts and opinions. We dare to think big and are continuously innovating on behalf of our clients.</p><p></p><p>
How can ML promote longer and healthier lives? Armed with decades of risk data, novel data sources, and a team of innovative data scientists, engineers, and domain experts, Munich RE is building solutions that are transforming the life insurance industry.</p><ul><li>
Develop solutions that allow easier access to insurance and healthier lifestyles</li><li>
Build highly scalable products with best security, ML, DevOps practices</li><li>
Research bias and fairness, disease models, NLP &amp; more</li><li>
Discover diverse careers with leadership opportunities</li><li>
Flexible remote/in-person work + focus on work-life balance</li><li>
Be part of a fast-growing team that values transparency &amp; diversity</li></ul><p><b><br>
Our internship placements provide you with an excellent opportunity to practically apply your classroom and technical training in the reinsurance industry. While with our team, you&rsquo;ll be; coached by experienced industry professionals, exposed to Munich Re leadership, challenged as a valuable team member and contributor doing meaningful work, and mentored to develop a solid foundation that will help position you as a future leader in the field.</b></p><p></p><p><b>
Munich Re is operating under a hybrid working model, including 3 days in office/week with the remaining days working from home. Students are expected to relocate to the city in which they work for the duration of their co-op, so they can fully benefit from the full program integration. This provides a great opportunity to network, develop soft skills and become immersed within the greater Munich Re culture; including engaging with your team while in-office for face-to-face meetings, sharing meaningful moments, and allocating time to connect with your Manager.</b></p><p></p><p>
To learn more about the North American Integrated Analytics team, please visit our site: https://www.munichre.com/us-life/en/solutions/integrated-analytics.html</p><p><b><br>
THE ROLE:</b><br>
Responsibilities may include, but will not be limited to the following:</p><ul><li>
Contribute to various on-the-go projects, related to the following areas of concentration (as needed and as fits with your focus):<ul><li>
Create, test and support the development of Python based applications and predictive models deployed as RESTful microservices APIs</li><li>
Deploy, monitor and improve visibility for our production applications</li><li>
Integrate security into all stages of the engineering pipeline and employ a &ldquo;security first&rdquo; attitude</li></ul></li><li>
Build data products with heavy reliance on cloud infrastructure</li><li>
Incorporate Git, testing, CI/CD workflows and PRs into any coding project</li><li>
Participate in various research projects in the field of machine learning and deep learning &ndash; collaborating with our greater team of scientists and engineers.</li></ul><p></p><p><b>
QUALIFICATIONS:</b><br>
We&rsquo;re looking for well-rounded individuals who are technically astute, have strong communication skills, and demonstrate the ability to build positive relationships with internal clients. We&rsquo;re seeking energetic and collaborative professionals who are excited to join our winning team and show promise of becoming a future leader in the engineering space.</p><p></p><p>
Specifically, we&rsquo;re looking for the following qualifications:</p><p></p><p><i>
Technical:</i></p><ul><li>
Undergraduate or Graduate degree in Computer Science, Engineering, Physics, Bioinformatics &ndash; or equivalent program;</li><li>
Familiarity with Python or other object-oriented languages;</li><li>
Experience developing software using principles from the software design life cycle.</li></ul><p><i>
 Behavioral:</i></p><ul><li>
Solid communication skills; spoken &amp; written, formal/informal presentation;</li><li>
Able to learn quickly and independently and motivated to help others;</li><li>
Proven ability to thrive in a dynamic environment;</li><li>
Ability to creatively and rapidly problem solve for on-the-job issues.</li></ul><p><i>
 Preferred (but not required):</i></p><ul><li>
Familiarity with Azure or other cloud platforms;</li><li>
Ability to independently research new tools and technologies;</li><li>
Previous exposure to insurance or financial services environment.</li></ul><p></p><p>
Note that this opportunity is open to current students who are returning to in-class studies upon the completion of the internship.</p></div></div><p></p>
<br><div><div><div><h2 class="jobSectionHeader"><b>Your Benefits</b></h2>
<p>With us, you get more than just an exciting job. Enjoy a wide range of employee benefits tailored to your wellbeing and development. Please note that regional differences may apply.</p>
</div><div><div><p>Competitive Salary</p>
<p>We provide fair and competitive compensation that reflects your performance and commitment.</p>
</div><div><p>Company performance-based Incentives</p>
<p>In addition to your salary, our variable compensation approach allows you to share in Munich Re's success.</p>
</div><div><p>Recognition and Special Rewards</p>
<p>We recognise outstanding individual contributions through a variety of targeted rewards and incentives.</p>
</div><div><p>Retirement Planning</p>
<p>We support your long-term financial wellbeing with retirement solutions aligned with local regulations.</p>
</div><div><p>Inclusive Workplace Culture</p>
<p>We foster a respectful, inclusive, and values-driven environment.</p>
</div><div><p>Learning &amp; Development</p>
<p>We offer tailored learning opportunities with a strong focus on core skills and business-critical knowledge.</p>
</div><div><p>Work-Life-Balance</p>
<p>Supporting your ability to balance family, leisure, and your career.</p>
</div><div><p>Health &amp; Wellbeing</p>
<p>We support your physical and mental health through a range of programs and activities in each location.</p></div></div></div></div>

Engineering Intern, NA Integrated Analytics (2026 Summer-New York)

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