associate researcher i-pathology molecular and cell based medicine

associate researcher i-pathology, molecular and cell based medicine

associate researcher ii - genetics (sebra lab)

(senior) director, clinical project management

academic researcher - fully remote | upto $110/yr

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

(senior) director, clinical project management Jobs in New York

academic researcher - fully remote | upto $110/yr Jobs in New York

senior research scientist

CVS Health

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p>
Position Summary: Aetna Resources LLC, a CVS Health company, is hiring for the following role in New York, NY: Sr. Data Scientist to lead and participate in the development, validation and delivery of algorithms, statistical models and reporting tools. Solves complex analytical problems. Duties include: Designs systems that utilize data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems. Defines data science initiatives by utilizing data mining, data modeling, natural language processing, and machine learning techniques to extract data from multiple sources and deliver predictive models that inform solutions. Designs and develops data solutions that meet client requirements and organizational quality standards by leveraging industry-leading tools, technologies, and best practices to profile and translate data. Applies data science expertise and machine learning knowledge to improve patient care capabilities, optimize healthcare operations, and drive evidence-based decision-making. Develops and implements analytical frameworks, key metrics, and performance dashboards to monitor, measure, and evaluate healthcare quality, efficiency, and performance. Collaborates with stakeholders across the organization, including executives, clinicians, Information Technology (IT) professionals, and business analysts, to understand their needs and provide data-driven solutions. Delivers presentations and consultative services to existing and prospective constituents on data analytics results and solutions. Improves professional data science knowledge by staying up to date on innovative data analysis techniques, visualization tools and software, and object-oriented programming languages. Helps establish and implement programs that ensure departmental adherence to all applicable data governance policies and procedures by educating team members on data science best practices. Hybrid Position: remote work permitted but must live within commuting distance of designated office location and remain available to report to office as needed and required. Multiple positions. Requirements: Master&rsquo;s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Business Analytics, Computer Science and Engineering, or a related field and two (2) years of experience in the job offered or related occupation. Requires two (2) years of experience in each of the following: &bull; Programming in SQL, Python, or R; &bull; Docker, Kubernetes, JIRA, Rally, or Confluence; &bull; Hive, Cassandra, Pig, MySQL or NoSQL; &bull; PowerBI or Tableau; &bull; Machine learning, statistical analysis, and predictive modeling; &bull; Domain support for healthcare or retail organization; &bull; Relational database concepts; &bull; Contributing to largescale applications development, data science, or data analytics projects; &bull; Data analytics on large data sets in healthcare, business, or retail sector; &bull; Designing data models and solutions for analytical and reporting use cases; &bull; Machine learning algorithms; &bull; End-to-end data science lifecycle/workflow; &bull; Developing data and analytics-based platform capabilities, services, or products; &bull; Supporting large data, analytics, and technology modernization initiatives; &bull; Feature engineering, model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementation; and &bull; Quantitative analysis techniques, including clustering, regression, and pattern recognition. Pay Range: $111240.00/year to $222480.00/year.<p></p><p>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program.<br>
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In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company&rsquo;s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (&ldquo;PTO&rdquo;) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.<br>
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<b>Great benefits for great people</b></p><p></p><p>
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.</p><br>
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.<p><br>
Additional details about available benefits are provided during the application process and on Benefits Moments.</p><br>
This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis.<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Senior Data Scientist

Achira

<div><h1 class="jobSectionHeader"><b>Why Achira</b></h1><p>
At Achira, we are building a team of world-class scientists, ML researchers, and engineers to work together to move beyond the beaten path in drug discovery. We are actively exploring the next frontier of model architectures for AI x Chemistry: developing world models for the physical microcosm. Our goal is to make biology at the molecular level something that can be learned, predicted, and designed.</p><p>
At Achira, you&rsquo;ll operate at the frontier scale of massive compute, massive data, and massive ambition. You&rsquo;ll own impactful work end-to-end, from ideation to architecture to deployment on distributed infrastructure. We are a well-funded, talent-dense organization that values rigor, speed, execution, and an ownership mindset. We&rsquo;re looking for new members who share our sense of relentless urgency and are natural collaborators who value team success.</p><p></p><h1 class="jobSectionHeader"><b>
About the Role</b></h1><p>
We&rsquo;re looking for deep learning researchers who want to build rich representations of atomistic systems to help teach AI about the microscopic world. You will collaborate with domain experts in molecular modeling to develop Achira&rsquo;s next-generation foundation models. You&rsquo;ll work at the intersection of model architecture, data, and training strategy to find new points on the Pareto frontier of accuracy and speed for microscale world models.</p><p>
While we prefer candidates willing to work from our San Francisco office, highly skilled candidates may be considered for working from New York City with travel to San Francisco as needed. Both locations are offered as hybrid roles, spending at least some of your time working from the office in collaboration with coworkers. Travel is part of all roles at Achira, both to conferences and corporate on-site activities.</p><p></p><h1 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h1><ul><li><p>
Build a robust pre-, mid-, and post-training curriculum that ensures foundation model performance and impact.</p></li><li><p>
Create reenforcement learning strategies to help models focus their capacity where it matters most, especially when the training data doesn&rsquo;t cover the domain of applicability.</p></li><li><p>
Develop expressive representations of molecular and atomistic structure and dynamics, including equivariant graph neural networks, geometric transformers, and latent encoders that capture physical symmetries and constraints.</p></li><li><p>
Prototype, benchmark, and iterate rapidly to transform research ideas into reusable and scalable components across Achira&rsquo;s ecosystem.</p></li><li><p>
Collaborate with physicists and chemists to ensure models are grounded in real physics.</p></li><li><p>
Work with research engineers and the infrastructure team to identify where research ideas will need support in order to deliver effective results.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
About You</b></h1><ul><li><p>
Drive to apply modern ML techniques to solve problems at the frontier of the microscopic world.</p></li><li><p>
A willingness to follow the data and embrace an empirical approach to the bitter lesson.</p></li><li><p>
A pragmatic approach to inductive bias (eg. physical priors, equivariance) in model building.</p></li><li><p>
Experience designing, running and analyzing ML experiments at scale.</p></li><li><p>
Experience with 3D geometric deep learning.</p></li><li><p>
Machine learning researcher with professional experience (post-degree) in an industry setting.</p></li><li><p>
Demonstrated research impact through conference talks or publications (in machine learning venues), open-source contributions, or released models.</p></li><li><p>
Strong interdisciplinary communication and presentation skills and the ability to translate ideas and concepts to colleagues from non-ML backgrounds.</p></li><li><p>
Proficiency in Python and modern ML frameworks (PyTorch, JAX).</p></li><li><p>
Experience collaborating on research projects across multi-person teams.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Nice to Have</b></h1><p>
Achira values excellent ML researchers from many backgrounds, and expect members of the team to contribute complementary strengths. If the work excites you, we encourage you to apply, even if you hit none of the bonus features listed below!</p><ul><li><p>
Experience with self-supervised representation learning techniques.</p></li><li><p>
Experience with Bayesian deep learning techniques and uncertainty quantification.</p></li><li><p>
Experience developing or applying generative models for 3D systems.</p></li><li><p>
Experience with equivariant graph neural network architectures (NequIP, MACE, SchNet, PaiNN, or similar).</p></li><li><p>
Prior experience working in or with researchers in the domains of computational chemistry, biology, or materials science.</p></li><li><p>
Experience working with multi-cloud distributed compute systems.</p></li><li><p>
Experience working with multi-site distributed company team.</p></li></ul><p>
Compensation Range: $164,638 - $259,000</p></div>

ML Research Scientist (MLRS) - Representation Learning for Molecular AI

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 Associate.
<br>
<br>
In this role, the successful candidate is responsible for conducting independent basic science experimentation based on research conducted in the assigned laboratory under the mentorship of a senior scientist. Individual is expected to seek to build a portfolio of research accomplishments in preparation for acquiring a higher degree in biomedical research or medicine.</p>
<p><b>
Job Responsibilities:</b></p>
<ul>
<li>After a period of time working in the laboratory, the candidate will be expected to train graduate students and post-doctoral fellows in experimental design, technique and performance.</li>
<li>Generates hypotheses and designs and performs experiments to test them.</li>
<li>Executes multiple experiments simultaneously over time independently.</li>
<li>Records all experimental findings in a laboratory notebook, analyze and interpret experimental findings.</li>
<li>Based on results, independently suggests and tests modifications to protocols.</li>
<li>Prepares figures and diagrams for presentations and publications.</li>
<li>Communicates results and collaborates with other professionals in the lab.</li>
<li>Demonstrates a significant level of intellectual input into the design of the project.</li>
<li>Presents findings at lab meeting, responds to challenges, and participates in exchanges of ideas to advance the science.</li>
<li>Reads and understands relevant scientific literature.</li>
<li>Contributes to the preparation of articles on research outcomes and progress and to the submission of same for publication.</li>
<li>Participates in the editing and proofing of grant proposals, annual grant reports, and manuscripts for publication and recommends modifications to the Principal Investigator.</li></ul><br>
<p></p>
<p><b>
Minimum Qualifications:</b><br>
To qualify you must have a College graduate with a B.S. or B.A. in Biomedical or Physical Sciences. A minimum commitment of two years is required and placement in position may not exceed three years.</p>
<p><b>
Preferred Qualifications:</b><br>
Prior research experience in a laboratory setting.</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.
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<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 $47,033.89 - $50,000.00 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 Associate - Mazzoni Lab

Fusemachines

<div>
 <strong>
  About Fusemachines
  <br/>
  <br/>
 </strong>
 Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients&rsquo; AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.
 <br/>
 <br/>
 Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
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 <strong>
  Type: Full-time, Remote
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  <br/>
 </strong>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 We&rsquo;re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You&rsquo;ll work across the ML lifecycle&mdash;from problem framing and data exploration to model development, evaluation, deployment, and monitoring&mdash;often in partnership with client stakeholders and internal delivery teams.
 <br/>
 <br/>
 You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems.
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 <br/>
 <strong>
  Key Responsibilities
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  <br/>
 </strong>
 <ul>
  <li>
   Problem Framing &amp; Stakeholder Partnership
  </li>
  <ul>
   <li>
    Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.)
   </li>
   <li>
    Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability)
   </li>
  </ul>
  <li>
   Data Analysis &amp; Feature Engineering
  </li>
  <ul>
   <li>
    Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses
   </li>
   <li>
    Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices
   </li>
   <li>
    Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions
   </li>
  </ul>
  <li>
   Model Development (Core ML)
  </li>
  <ul>
   <li>
    Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data)
   </li>
   <li>
    Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation
   </li>
   <li>
    Build time series models (statistical and ML/DL approaches) and validate with proper backtesting
   </li>
   <li>
    Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness
   </li>
   <li>
    Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making
   </li>
  </ul>
  <li>
   Deep Learning
  </li>
  <ul>
   <li>
    Build and train deep learning models using PyTorch or TensorFlow/Keras
   </li>
   <li>
    Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design)
   </li>
  </ul>
  <li>
   Evaluation, Explainability, and Iteration
  </li>
  <ul>
   <li>
    Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports
   </li>
   <li>
    Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence
   </li>
  </ul>
  <li>
   Productionization &amp; MLOps (Project-Dependent)
  </li>
  <ul>
   <li>
    Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration
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   <li>
    Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans
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  </ul>
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   Documentation &amp; Communication
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  <ul>
   <li>
    Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders
   </li>
   <li>
    Create documentation and lightweight demos that make results actionable
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   </li>
  </ul>
 </ul>
 Success in This Role Looks Like
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   You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency)
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   Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring
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   Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly
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   <br/>
  </li>
 </ul>
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  Required Qualifications
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  <li>
   3&ndash;8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior)
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  <li>
   Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent)
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  <li>
   Strong SQL skills (joins, window functions, aggregation, performance awareness)
  </li>
  <li>
   Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset
  </li>
  <li>
   Hands-on experience across multiple model types, including:
  </li>
  <ul>
   <li>
    Classification &amp; regression
   </li>
   <li>
    Time series forecasting
   </li>
   <li>
    Clustering/segmentation
   </li>
  </ul>
  <li>
   Experience with deep learning in PyTorch or TensorFlow/Keras
  </li>
  <li>
   Strong problem-solving skills: ability to work with ambiguous goals and messy data
  </li>
  <li>
   Clear communication skills and ability to translate analysis into decisions
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   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
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  <br/>
 </strong>
 <ul>
  <li>
   Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows)
  </li>
  <li>
   Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining)
  </li>
  <li>
   Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks)
  </li>
  <li>
   Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker)
  </li>
  <li>
   Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls)
  </li>
  <li>
   Consulting or client-facing delivery experience
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   <br/>
  </li>
 </ul>
 <strong>
  Certifications (Strong Plus)
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 </strong>
 Candidates with at least one relevant certification are especially encouraged to apply:
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   Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks)
  </li>
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   Databricks certifications (Data Scientist, Data Engineer, or related)
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  </li>
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 <strong>
  Nice-to-Have
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 </strong>
 <ul>
  <li>
   Causal inference experience (e.g., quasi-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests)
  </li>
  <li>
   Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products
  </li>
  <li>
   Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI-assisted IDEs, code agents, automated testing/refactoring, repo-aware assistants), including strong judgment on quality, security, and maintainability
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   <br/>
  </li>
 </ul>
 <em>
  <em>
   Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.
   <br/>
   <br/>
  </em>
 </em>
 Important: Immigration Sponsorship Policy
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 <br/>
 Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including:
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 <br/>
 <ul>
  <li>
   Direct Company Sponsorship: Such as H-1B, J-1, or TN visas
  </li>
  <li>
   Employer of Record: Listing Fusemachines as the immigration employer on any government documentation
  </li>
  <li>
   Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT)
   <br/>
   <br/>
  </li>
 </ul>
 Powered by JazzHR
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Machine Learning Engineer / Data Scientist

Société Générale

<div><div><h2 class="jobSectionHeader"><b>Responsibilities
</b></h2><div><p>Conduct in-depth analysis of companies, stocks, and industry themes; Publish written research on industry insights; Conduct and report on financial forecasting, including building detailed forward looking models; Build strong relationships across the investing community including our sales, trading teams and institutional clients; Build a network within their industry including senior management of their companies; Collaborate with global Senior Analyst peers in researching and analyzing technology industry trends, developing sector expertise; Communicate perspective on strategic positioning of companies within coverage and their future prospects in the market, and analysis of industry themes; Perform fundamental company and financial analysis and provide market performance and investment research coverage for companies within various industries; Perform complex financial forecasting, including building detailed financial forward-looking models; Contribute to the firm&rsquo;s research written products; Define data requirements, collect data from a wide range of publications, public filings and databases (Bloomberg, FactSet), and validate information by applying judgment and statistical tests and using a variety of software tool; Build strong relationships across the investing community, including our sales and trading teams and institutional clients; Build a network within the Technology industry including senior management of their companies; and Lead team of 1-2 Research Associates. Requires up to 20% domestic and international travel for marketing investment ideas to global institutional investors. Partial telecommuting permitted; on-site at 245 Park Ave., New York, NY 10167 when not telecommuting. Salary: $225,000-$450,000 per year.
</p><p>LOCATION: Bernstein Institutional Services LLC 245 Park Ave., New York, NY 10167
</p></div></div><div></div><div><h2 class="jobSectionHeader"><b>Profile required
</b></h2><div><p>MINIMUM REQUIREMENTS: Bachelor&rsquo;s degree in Finance, Operations Research or a related field, plus 3 years of professional experience as a Financial Analyst, Investment Analyst, or any occupation/position/job title performing equity research and competitive landscape analysis.
</p><p>Must also have experience in the following: 3 years of professional experience building forward-looking financial models, including forecasting, scenario analysis, and valuation models; 3 years of professional experience analyzing financial statements (including balance sheet, income statement and cash flow) and utilizing data sources; 3 years of professional experience independently drafting written reports and presentations for internal and external clients using statistical methods for data validation and trend identification; 3 years of professional experience performing equity research including analyzing stocks, sectors, and industry trends and performing competitive landscape analysis; and 2 years of professional experience visualizing and analyzing results with Microsoft BI or Tableau.
</p></div></div><div><h2 class="jobSectionHeader"><b>Business insight
</b></h2><div><p>Bernstein is widely recognized as a premier global equity research and brokerage firm, with a trading platform that spans the US, Europe, and Asia. Our research and trading capabilities are sought out by leading investment managers around the world, and we have a long history of our research receiving #1 rankings for overall quality and industry knowledge.
</p><p>Research is our legacy and foundation. Our brand is defined by our Blackbooks, renowned for their in-depth quantitative forecasts and unmatched industry expertise. Our Research Analysts are thought leaders who typically have many years of direct experience in the industries they cover. Our reputation is for the very highest caliber of disciplined investment and industry analysis.
</p><p>In 2019 Bernstein acquired Autonomous Research, a highly regarded global financial services independent research firm. This acquisition further strengthened us as the preeminent provider of the highest-quality research to our clients worldwide.
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Diversity and Inclusion
</b></h2><div></div><div>Societe Generale is an equal opportunity employer, and we are proud to make diversity a strength for our company. We are committed to recognizing and promoting the talents and achievements of our employees and staff, regardless of race, religion, color, national origin, sex, disability, age, gender, sexual orientation, and any other characteristic or status protected under applicable law.</div></div></div></div>

Senior Research Analyst (U.S. Internet/Technology) (Bernstein Institutional Services LLC, New York, NY)

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><div>
Position Summary: Caremark LLC, a CVS Health company, is hiring for the following role in New York, NY: Sr Data Scientist to formulate and apply mathematical and computational modeling methods towards data extraction and manipulation. Duties include: design and develop data solutions using industry leading tools, technologies and best practices to profile data and develop efficient ingestion by sourcing data from PBM, Specialty, Retail, and/or HealthCare business; develop advanced algorithms and statistical predictive models to evaluate scenarios and provide usable information on health metrics and potential future outcomes; extract and manipulate data from multiple large data sources and deliver predictive models that inform solutions for in-house teams (i.e. pharmacy pricing, medical costs, risk scores, onboarding) and customer engagement across critical journeys (i.e. calories, heart rate, breast cancer, maternity); utilize strong programming skills to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems; support deployment of insights across multiple channels and work on mathematical analysis methods, machine learning, and statistical analyses. Telecommuting available. Multiple positions.<br>
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Requirements: Master&rsquo;s degree (or foreign equivalent) in Computer Science, Data Science, Operations Research, Statistics, Mathematics, Analytics, or a related field and two (2) years of experience in<br>
each of the following:<br>
<ul><li>R, Python, or SQL;</li><li>Visualization tools, including PowerBI or Tableau;</li><li>&ldquo;Big data&rdquo; platforms including Hadoop (Azure, GCP, or AWS) and Spark, Airflow, Kafka, Hbase, Pig, or NoSQL;</li><li>Translating analytical problems into structured programs using PySpark, Scala, PL/SQL or Teradata BTEQ;</li><li>Machine Learning or NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP);</li><li>Data analytics on large data sets in healthcare, business, or retail sector;</li><li>Marketing analytics, clinical trials, or health research;</li><li>Containerized services, storage, and workspace management;</li><li>Featuring engineering, model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementation; and</li><li>Qualitative analysis techniques, including clustering, repression, and pattern recognition.</li></ul><br>
Pay Range: $111240.00/year to $222480.00/year.</div><p></p><p>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program.<br>
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In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company&rsquo;s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (&ldquo;PTO&rdquo;) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.<br>
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<b>Great benefits for great people</b></p><p></p><p>
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.</p><br>
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.<p><br>
Additional details about available benefits are provided during the application process and on Benefits Moments.</p><br>
This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis.<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Sr Data Scientist

Nomura

<div></div><div><div><div><div><div>Job Code: 13473
</div></div></div></div><div><div><div><div>Country: US
</div></div></div></div><div><div><div><div>City: New York
</div></div></div></div><div><div><div><div>Skill Category: Internal Audit
</div></div></div></div><div><div><div><div>Description:
<h3 class="jobSectionHeader"><b>Corporate Title: </b>Associate</h3>
<h3 class="jobSectionHeader"><b>Department:</b> Internal Audit</h3>
<h3 class="jobSectionHeader"><b>Location: </b>New York, NY</h3>
<h3 class="jobSectionHeader">The base pay range for this position at commencement of employment is expected to be between $130,000 and $150,000 per year. .</h3><br>
<div></div><div><b>Company overview</b></div>
<p>Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East &amp; West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com.</p><br>
<div></div><div>Aon&rsquo;s Benefit Index&reg;: Nomura&rsquo;s benefits <b>rank</b> <b>#1</b> amongst our competitors.</div><br>
<p></p><p><b>Department overview</b><b>:</b></p>
<p>The Internal Audit department is a key part of Nomura&rsquo;s corporate governance and the department&rsquo;s primary objectives are to review the company's control environment and report any weaknesses identified to the Audit Committee and senior management.
</p><p>The Internal Audit department has over 190 staff that are located in major cities around the world. The Nomura Global Wholesale Internal Audit department in the Americas comprises 40 professionals, split across Trading, Sales and Investment Banking businesses as well as Technology, Risk Management, Legal and Compliance and Finance specialists, reporting to the Americas Head of Internal Audit.</p><br>
<p></p><p><b>Key responsibilities;</b></p>
<p>Reporting to the Americas Global Markets Audit Technology Portfolio Director who is responsible for the Global Equities and Securitized Products IT audit portfolio globally, the Global Markets Internal Audit Data Scientist will be responsible for working as part of an integrated team to audit Global Markets businesses.
</p><p>The role involves working with technology and control stakeholders to understand and assess the technology risks across a range of products and make value added control improvement recommendations to senior management. The role covers systems supporting structured and complex businesses as well as vanilla businesses across all major asset classes (Credit, Rates, FX, and Equities).</p>
<p>The role involves using data analytics and developing automated testing to assess risks and controls to identify internal control weaknesses during internal audit reviews and continuous auditing.</p>
<p>The audits cover Front Office Trading and Sales together with supporting control functions including Market and Credit Risk Management, Product Control / Middle Office, Technology and Compliance.
</p><p>Responsibilities include risk assessments, continuous monitoring, validating major control enhancements, reporting results to senior management, and contributing towards strategic and innovative changes to improve audit effectiveness.</p><br>
<p></p><p><b>Skill and Experience Requirements</b></p>
<ul><li>The primary skillset required is prior experience of data analysis. The candidate must be able to cite examples of applying data analysis skills and tools in a business or educational context.</li>
<li>Experience of trading systems, businesses, and the related operations, compliance, and finance areas in a broker-dealer or investment bank, or in an auditor / consultant role in a public accounting firm.</li>
<li>Experience of coding e.g. using Python and other languages, to provide insight into risks and/or controls such as IT general controls for e.g. change management, and analysis of data integrity to provide an audit opinion on the completeness, accuracy of system-based processing.</li>
<li>Knowledge of artificial intelligence tools and prompt engineering would be an advantage.
</li><li>Knowledge of databases: SQL, Elastic, Graph technologies, and Linux environments would be beneficial.</li>
<li>Knowledge of data visualization tools such as Power BI, Tableau, QlikView, etc. would be beneficial.</li>
<li>Knowledge of general auditing principles, including the ability to identify and document technology and business processes, and the design and operating effectiveness of related controls.</li>
<li>Confident manner and well-developed communication (both verbal and written), influencing, interpersonal and project management skills.</li><br>
</ul><p></p><p><b>Qualifications</b></p>
<ul><li>A bachelor&rsquo;s degree in Data Science, a Quantitative subject, Computer Science, Business, Finance, or related discipline.</li>
<li>Accounting or Audit professional qualifications (e.g., CISA) and / or securities licenses would be advantageous.</li>
<li>Knowledge of regulatory requirements in the US, Europe, and Asian markets would also be beneficial.</li><br>
</ul><p></p><div><b>Nomura Leadership Behaviors</b></div>
<div><b>Explore Insights &amp; Vision</b></div>
<ul><li>Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future.</li>
</ul><div><b>Making Strategic Decisions</b></div>
<ul><li>Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations.</li>
</ul><div><b>Inspire Entrepreneurship in People</b></div>
<ul><li>Inspire team members through effective communication of ideas and motivate them to actively enhance productivity.</li>
</ul><div><b>Elevate Organizational Capability</b></div>
<ul><li>Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing.</li>
</ul><div><b>Inclusion</b></div>
<ul><li>Foster a culture of inclusion and psychological safety in the workplace and cultivate a &quot;Risk Culture&quot; (Challenge, Escalate and Respect).</li><br>
</ul><div></div><ul><li>base pay offered may vary depending on multiple individualized factors, including market location, corporate and functional title and duties, job-related knowledge and advanced degrees, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.</li></ul><br>
<div></div><div>If hired, employee will be in an &ldquo;at-will position&rdquo; and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors&rdquo;.</div><br>
<div></div><div><i>Nomura is an Equal Opportunity Employer</i></div><br>
</div></div></div></div><p></p><p><br>
<b>Nearest Major Market: </b>Manhattan
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<b>Nearest Secondary Market: </b>New York City</p></div>

GM Technology Data Scientist Associate

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