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Job Description Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity, futures and other markets globally. Starting with many data sets, we develop large sets of features and use various machine learning methods to discover trading signals and effectively combine them into market-neutral portfolios. We are looking for data scientists, physicists, engineers, economists and programmers to develop the next generation of machine learning strategies that can accurately predict the future movements of liquid financial assets. Our Quantitative Researchers are embedded within the following teams: Alpha Researcher: As a member of the Alpha Researcher team, you will be involved in developing market-neutral signals, parsing and analyzing large data sets and collaborating with the Data and Strategy Research team to build a diverse set of predictive models. Data Scientist: As a member of the Data Science team, you will be involved in parsing and analyzing large data sets, working on discovering and obtaining new sources of data and collaborating with the Alpha and Strategy team to build predictive machine learning models. Strategy Researcher: As a member of the Strategy team, you will be developing systematic strategies based on a variety of machine learning and statistical methods. The data you train and validate comes from actual market trading When you apply for a Quantitative Researcher role at Trexquant, we will first assess you on the core skills required for the Quantitative Researcher. During the interview process, we will be able to get to know you better, learn about your strengths and match you to the best research team that closely aligns with your skills and preference. Your Responsibilities: • Design, implement, and optimize various machine learning models aimed at predicting liquid assets using a wide set of financial data and a vast library of trading signals, • Parse data sets to be used for future alpha(strategy) development, • Investigate and implement state-of-the-art academic research in the field of quantitative finance, • Collaborate with experienced and resourceful quantitative researchers to carry out experiments and test hypothesis using simulations Requirements • BS/ MS degree in any stem field, • Passion for machine learning, • Fluent with programming languages like Python, • Strong problem-solving skills, • Ability to work effectively both as an individual and a team player, • Knowledge of financial accounting is a plus, • Background in quantitative finance is a plus but not necessary Benefits • Competitive salary plus bonus bonus based on individual and company performance, • Collaborative, Casual, and friendly work environment, • PPO Health, dental and vision insurance premiums fully covered for you and your dependents, • Pre-tax commuter benefits, • Weekly company meals, • Trexquant is an Equal Opportunity Employer Applications are open for both Stamford and New York City offices. The base salary for this role is $120,000 to $180,000, and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer

Job Description About the Role The Applied AI Engineer is the hands-on builder inside the AI Innovation Lab. You'll prototype, integrate, and refine AI-powered solutions that drive immediate business value — from internal copilots and workflow automations to retrieval-augmented assistants and LLM-driven analytics. You'll work side by side with business stakeholders, the Data MVP team, and our shared data science function to turn promising ideas into working pilots — and then help transition successful pilots into hardened, production-grade solutions. This role is ideal for someone who loves to get under the hood of large language models, can wire up real data and APIs fast, and is comfortable iterating in the open with executives and end users. Key Responsibilities Solution Prototyping & Integration • Build AI-powered prototypes and pilots, including chat/agent experiences, workflow automation, retrieval-augmented Q&A, and intelligent copilots for internal teams., • Integrate LLMs and other AI services with enterprise systems (APIs, data warehouses, productivity tools, document stores, etc.)., • Stand up vector retrieval / embedding pipelines and lightweight orchestration layers for pilots (e.g. routing, guardrails, context injection)., • Own prompt engineering and system prompt design for pilot use cases; maintain prompt/version libraries for reuse across teams.Iteration, Evaluation & Hardening, • Run small-scale evaluations: quality, latency, hallucination rate, cost per interaction, user satisfaction., • Instrument prototypes to capture feedback and usage data; use that to drive iterative improvement., • Work with the Data MVP / Platform team and shared Data Scientist to transition successful pilots to governed, supportable, auditable solutions.AI Safety, Policy & Guardrails, • Implement privacy, security, and compliance controls defined by the Lab and CTO (e.g. redaction, role-based access, safe completion patterns)., • Help encode those guardrails directly into the pilots (model routing logic, input/output filters, content moderation triggers) so adoption can scale safely.Internal Enablement, • Document how each pilot works: architecture diagrams, data flows, prompts, limitations, known risks, and "dos and don'ts.”, • Partner with AI Enablement / Adoption Specialists to teach business users how to work with new copilots and AI workflows in their day-to-day. This position description outlines the basic tasks and requirements for the position noted. It is not a comprehensive listing of all job duties. Qualifications: • 4 years of hands-on experience in software engineering, ML engineering, applied data science, or related technical role. (Startup / skunkworks / innovation lab experience is a plus.), • Demonstrated experience building with large language models or similar advanced AI systems — e.g. using commercial LLM APIs, open-source models, orchestration frameworks, RAG pipelines, vector databases., • Strong Python and/or TypeScript/JavaScript skills, including building API services, simple web front ends, and automation scripts., • Practical familiarity with data platforms and modern data stacks (Snowflake or similar warehouse; dbt / transformation layer; cloud services), and comfort working with structured and unstructured data., • Comfort working in ambiguous problem spaces: you can sit with a business stakeholder, map their manual workflow, and propose/build an AI-enabled version quickly., • Understanding of AI governance, security, and responsible-use expectations in an enterprise setting; able to design with those constraints in mind., • Strong written and verbal communication skills; able to explain what the pilot does, why it matters, and what its limits are — without jargon., • Bachelor's degree in Computer Science, Data Science, Operations Research, Engineering, or related field. Graduate work a plus.

Job Description Clinical Laboratory Scientist, Histotechnologist, or Histotechnician White Plains, New York Full-Time | Evening Shift | Monday–Friday A leading hospital laboratory is seeking a detail-oriented Clinical Laboratory Scientist or Histotechnician to join its Anatomic Pathology team. This role is open to candidates from either a Clinical Laboratory Science or Histology background with the appropriate New York State licensure and experience. This role is responsible for performing histological procedures and laboratory testing using both manual and automated techniques to produce high-quality pathology slides and accurate laboratory results that support patient diagnosis and care. This is an excellent opportunity for a licensed laboratory professional who thrives in a fast-paced clinical environment and is committed to quality, precision, and patient safety. Schedule • Full-Time, • Evening Shift, • Monday – Friday, • 2:00 PM – 10:00 PM Compensation • Salary Range: $94,000 – $121,000 annually, • Histotechnologist - $94,000 – $121,000 (based on full-time employment), • Histotechnician - $64,000 - $95,000 (based on full-time employment) Compensation is based on experience, education, certifications, and internal equity. Position Responsibilities Clinical Laboratory Scientist Responsibilities • Perform laboratory testing in accordance with established laboratory procedures and quality standards, • Ensure accuracy throughout pre-analytic, analytic, and post-analytic testing phases, • Maintain quality control, calibration, maintenance, and proficiency testing records, • Identify and troubleshoot testing issues and document corrective actions, • Notify clinicians and patient care units of critical values while meeting STAT turnaround requirements, • Participate in CAP, AABB, NYSDOH, and Joint Commission regulatory readiness activities, • Assist with validations, competency assessments, inspections, and quality improvement initiatives, • Maintain inventory control, lot tracking, expiration monitoring, and quality assurance documentation, • Complete continuing education requirements and mandatory training programs Histotechnologist / Histotechnician Responsibilities • Perform embedding and sectioning of tissue blocks according to established protocols, • Evaluate routine H&E stains and correct inconsistencies prior to slide release, • Perform and evaluate special stains and immunohistochemistry procedures, • Review and document positive and negative controls for all staining procedures, • Maintain adherence to quality standards, sterile practices, and laboratory policies, • Support pathology operations and workflow efficiency Qualifications Clinical Laboratory Scientist Requirements • Current New York State License as a Clinical Laboratory Technologist, Histotechnologist, or Physician Assistant required, • Education meeting NYS Office of Professions and CLIA requirements, • ASCP Certification preferred Histotechnologist / Histotechnician Requirements • Current New York State Clinical Laboratory Technician License or Histotechnician License required, • Degree in Medical Technology or related science preferred, • One year of hospital histology experience preferred, • ASCP Certification preferred Core Competencies • Strong attention to detail and accuracy, • Excellent organizational and multitasking skills, • Adaptability and flexibility, • Strong stress tolerance and focus, • Ability to work independently and collaboratively

Job Description Temporary Job Request Number: IT - 1507 - Junior Data Scientist Contingent Worker Information Position Title Junior Data Scientist NYPA Business Unit Information Technology & Cyber Security Experience Level 1 (1-5 years) Work Location White Plains Office Anticipated Start Date Immediate Duration of Assignment 12 month(s) Project/Assignment Help the organization better leverage self-service AI tools such as CoPilot and help business to conduct data analytics CWP Manager Christine.Prendergast@nypa.gov Date of Posting 09/10/2026 Due Date 09/25/2026 Work Schedule Monday through Friday. 7.5-hour workday with .5-hour unpaid lunch. Paid for actual time worked; there are no paid vacation or sick days. During NYPA and Canals holidays, the business is closed, and no work is permitted. NYPA requires a hybrid schedule of a minimum of 3 days on-site, up to including fully on-site depending on department requirements. CWPO Engagement Requirements Candidates are REQUIRED to be local to the Tri-State area and in W2 tax status as an hourly paid employee of Service Provider. Fully remote positions are prohibited. Hybrid schedules are permissible with a minimum of 3 days on-site depending on assignment and can be fully on-site depending on business needs. Remote work privileges can be revoked at any time. NYPA does not provide laptops. Instead, NYPA provides desktops and dedicated workstations which candidates will remote into from their personal equipment on virtual days. If candidate does not have proper equipment, internet connection, or he/she is deemed to not work effectively from home, the hybrid privilege will be revoked. Vendors must disclose foreign national status and all Visas at the time of candidate submission. Additionally, a Benefits Waiver and Ethics Disclosure will be required of the candidate during onboarding. Submission Instructions Your email submissions must contain: The LEGAL name of candidate (no aliases, monikers, or nicknames) Job Broadcast number in your email subject header Visa work authorization, if applicable For job broadcasts outside your contractual compensation schedules, use competitive rates based on local and state compensation. NYPA CWP staff will contact you if your candidate is selected to be interviewed, which is usually via MS Teams. Please inform your candidates that an interview does not indicate acceptance of the proposed labor rates. For all questions or concerns, please contact Christine Prendergast at Christine.Prendergast@nypa.gov or Markus Caruso at Markus.Caruso@nypa.gov. Project Overview We are seeking a junior data scientist to strengthen the team's AI and data analytics capabilities. This contingent worker will support the development and execution of AI use cases, particularly those involving Copilot, and will help manage increasing data analytics requests from the business. Their contribution will enable the team to meet growing demand, accelerate delivery of insights, and enhance overall analytical effectiveness. Job Functions & Responsibilities • CoPilot prompt engineering, • CoPilot/CoPilot studio agent and more advanced features, • Advanced data analtyics for operations, using operational data to generate business insights, • Works with greater independence, however, projects are still assigned by Manager/Director of Data Analytics., • Works under moderate supervision, receiving advice and guidance from Lead Data Scientists., • Work collaboratively with business partner to understand business analytical needs and propose solutions, • Deliver the data products, • Deliver presentations and reports, • Must meet deadlines set by senior level or above. Skills • Advanced CoPilot/CoPilot Studio experience, • Prompt Engineering, • Advanced data analytics skills, • Experts in Python and SQL, and Expert experience working with data analysis libraries and frameworks (e.g., Pandas, NumPy, SciPy, scikit-learn)., • Familiar with Databricks, Azure Foundry, PowerBI, • Excellent communications skills Education & Certifications Bachelor's Degree in data science, computer science, statistics, mathematics, or a related field.

Job DescriptionThis role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. Do you thrive on transforming complex data into actionable insights that drive business growth? At Spectrum, you’ll use advanced statistical techniques and machine learning to develop impactful solutions for real-world challenges, collaborating across teams and communicating your findings to stakeholders at all levels. Your expertise will shape decisions and deliver measurable results that matter. This position is in an office environment with a hybrid work schedule. Eligible employees can work from home up to one day each week. How You’ll Make an Impact • Responsible for the full end-to-end data science process, including ETL, model development, validation, deployment into workflows, and measurement of financial impact., • Partner with cross-functional teams to implement models in production and conduct post-launch testing and enhancements., • Apply analytical and statistical algorithms to help stakeholders enhance their business strategies, • Collaborate on the design and implementation of data quality procedures for both current and new data sources, • Communicate data science solutions and complex analyses clearly to team members and business leaders, • Establish connections across existing data sources and uncover new data correlations, • Present data insights and recommendations to key stakeholders to inform business decisions, • Ensure testing and validation are integral to all analytics solutions, achieving project goals within deadlines while proactively communicating progress What You’ll Bring to Spectrum Required Qualifications Education • Bachelor’s degree in computer science, statistics, operations research or equivalent combination of education and experience Experience • 3 years in data analytics, • 2 years programming experience Skills • Effective verbal and written communication, relationship management and customer service skills, • Building Logistic Regression models, Random Forest models, XGBoost models using Python, • Ability to work effectively in a team environment with minimal supervision, • Experience with analytical and statistical software, • Proficient using data science toolkits such as Python, • Comprehensive SQL skills, • Strong analytical and problem-solving skills, attention to detail and data accuracy, • Capacity for in-depth and independent research and analysis, • Ability to maintain confidentiality and handle sensitive information appropriately, • Deep understanding of computer science principles including algorithms, data structures and design methodologies, • Familiarity with big data tools such as Spark and Hive #ZRSM2 #LI-JV1 BDA303 2026-77930 BDA303 2026 Here, our employees don’t just have jobs, they're building careers. That’s why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life. A qualified applicant’s criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. The base pay for this position generally is between $86,000.00 and $152,400.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses. Get to Know Us Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet®, TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, you’ll be keeping our customers connected to what matters most in 41 states across the U.S. Watch this video to learn more. Grow Your Career Here We’re committed to growing a workforce that reflects the customers and communities we serve – providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum. What You’ll Bring to Spectrum Required Qualifications Education • Bachelor’s degree in computer science, statistics, operations research or equivalent combination of education and experience Experience • 3 years in data analytics, • 2 years programming experience Skills • Effective verbal and written communication, relationship management and customer service skills, • Building Logistic Regression models, Random Forest models, XGBoost models using Python, • Ability to work effectively in a team environment with minimal supervision, • Experience with analytical and statistical software, • Proficient using data science toolkits such as Python, • Comprehensive SQL skills, • Strong analytical and problem-solving skills, attention to detail and data accuracy, • Capacity for in-depth and independent research and analysis, • Ability to maintain confidentiality and handle sensitive information appropriately, • Deep understanding of computer science principles including algorithms, data structures and design methodologies, • Familiarity with big data tools such as Spark and Hive #ZRSM2 \nCompany Description Charter Communications is known in the United States by our Spectrum brands, including: Spectrum Internet®, TV, Mobile and Voice, Spectrum Networks, Spectrum Business and Spectrum Reach. When you join us, you’re joining a strong community of 95,000 employees working together to serve nearly 32 million customers in 41 states and keep them connected to what matters most. We’re committed to growing a workforce that reflects our communities, and providing equal opportunities for employment and advancement. EOE, including disability/vets. Charter Communications is known in the United States by our Spectrum brands, including: Spectrum Internet®, TV, Mobile and Voice, Spectrum Networks, Spectrum Business and Spectrum Reach. When you join us, you’re joining a strong community of 95,000 employees working together to serve nearly 32 million customers in 41 states and keep them connected to what matters most.\r\n\r\nWe’re committed to growing a workforce that reflects our communities, and providing equal opportunities for employment and advancement. EOE, including disability/vets.

Job DescriptionAt-a-Glance: Join an international food and beverage company as a contract R&D Scientist on-site. Position Type: • Contract, • On-Site, • Candidates must be able to live within a 50-minute commute of the work location, including by residing with family in the area.Required:, • Experience in the food or beverage industry relevant to the role., • M.S. in Nutrition, Exercise Physiology, Kinesiology, or related discipline., • Demonstrable knowledge and following of good clinical practice (GCP) guidelines., • 2+ years of hands-on experience in clinical research, including participant recruitment and data collection., • Proactive work style, able to multitask, and flexible to work in a high-performance and ever-changing environment., • Self-starter with good interpersonal communication skills and ability to work with various personalities and work styles., • Flexibility and willingness to work during non-traditional hours (e.g., start time before 8:00 am) and weekends as needed, depending upon the research schedule.Preferred:, • Demonstrated interest in the food or beverage industry.Responsibilities:, • Assist with participant recruitment for hydration research in active females., • Conduct medical screenings (e.g., body composition, body weight, height, blood pressure) to determine participant eligibility for entry into clinical research trials., • Assist with laboratory operations, including preventative maintenance/calibration of laboratory equipment., • Assist with the day-to-day execution of research projects including data collection, data entry, and writing of internal reports. If your background aligns with what we’re looking for, you may receive a call from Ava, our virtual recruiter, for a brief screening conversation. Ava will ask a few questions about your experience and interest in the opportunity. #LI-VK1 #HbM6349

Job Description Junior Data Scientist White Plains Office, NY - hybrid Duration of Assignment 12 month(s) Experience Level 1 (1-5 years) Anticipated Start Date Immediate Project/Assignment Help the organization better leverage self-service AI tools such as CoPilot and help business to conduct data analytics Project Overview We are seeking a junior data scientist to strengthen the team's AI and data analytics capabilities. This contingent worker will support the development and execution of AI use cases, particularly those involving Copilot, and will help manage increasing data analytics requests from the business. Their contribution will enable the team to meet growing demand, accelerate delivery of insights, and enhance overall analytical effectiveness. Job Functions & Responsibilities • CoPilot prompt engineering, • CoPilot/CoPilot studio agent and more advanced features, • Advanced data analytics for operations, using operational data to generate business insights, • Works with greater independence, however, projects are still assigned by Manager/Director of Data Analytics., • Works under moderate supervision, receiving advice and guidance from Lead Data Scientists., • Work collaboratively with business partner to understand business analytical needs and propose solutions, • Deliver the data products, • Deliver presentations and reports, • Must meet deadlines set by senior level or above. Skills • Advanced CoPilot/CoPilot Studio experience, • Prompt Engineering, • Advanced data analytics skills, • Experts in Python and SQL, and Expert experience working with data analysis libraries and frameworks (e.g., Pandas, NumPy, SciPy, scikit-learn)., • Familiar with Databricks, Azure Foundry, PowerBI, • Excellent communications skills Education & Certifications Bachelor's Degree in data science, computer science, statistics, mathematics, or a related field.

Job DescriptionClinical Lab Scientist / HistotechnicianRole Summary Join a high-precision diagnostic team dedicated to clinical excellence and patient safety. Whether functioning as a Clinical Laboratory Scientist (CLS) or a Histotechnician, you will play a vital role in the diagnostic process. Histotechnicians will utilize both manual and automated techniques to produce high-quality pathology slides, while Clinical Lab Scientists will oversee the accuracy and quality of results across all phases of testing. This is an inspiring opportunity for a detail-oriented professional to contribute to a life-saving laboratory environment that values continuous learning and rigorous quality standards. Key Duties: Laboratory Operations (CLS): Follow pre-analytic and analytic procedures, maintaining meticulous records for proficiency testing and patient specimens. Histological Excellence (Histo): Perform embedding and sectioning of tissue blocks. Evaluate routine (H&E), special, and immunohistochemistry stains for accuracy before releasing slides. Quality Assurance: Adhere to all quality control activities, calibrations, and equipment verifications. Identify and document any deviations from performance specifications. Regulatory Compliance: Participate in regulatory readiness for CAP, AABB, NYSDOH, and the Joint Commission. Ensure all testing meets CLIA requirements. Clinical Collaboration: Confirm and communicate critical values to clinicians and patient units while maintaining strict STAT turnaround times. Inventory & Maintenance: Manage lot numbers, expiration dates, and labeling. Perform preventative maintenance on laboratory instrumentation. Continuous Growth: Participate in validations, training, and competency assessments, maintaining at least 12 continuing education credits per year. Required Qualifications For CLS Candidates: * Current NYS License as a Clinical Laboratory Technologist or NYS PA License. Education in accordance with NYS Office of Professions and CLIA testing personnel requirements. For Histotechnician Candidates: * NYS Clinical Laboratory Technician License or NYS Histotechnician License. Health & Safety: Flu Vaccine required (No exceptions). Skills: Proficiency in adhering to performance standards, policies, and professional behaviors in a laboratory setting. Desired Qualifications Certification: ASCP Certification is highly preferred for both roles. Education (Histo): Degree in Medical Technology or a related science preferred. Experience (Histo): One year of relevant hospital experience in Histology is preferred. Location and Work Type Setting: Hospital Laboratory Location: White Plains, NY Work Type: Full-Time | Direct Hire Schedule: Varied shifts available; Monday – Friday (9:00 AM – 5:00 PM or 2:00 PM – 10:00 PM). Total Rewards: Full suite of healthcare benefits and a robust retirement plan. If you're interested, please reply to this advertisement or directly email your resume to me at DSalgado@teemagroup.com or by calling/texting (949) 295-5951. I strive to reply within 48 hours. Looking forward to connecting with you soon. Thank you!

Job DescriptionLocation: Hybrid (3 days onsite & 2 days remote- White Plains NY 10601) Duration: 12 months contract (with possible extension) Work Schedule: Monday through Friday. 7.5-hour workday with .5-hour unpaid lunch. Paid for actual time worked; there are no paid vacation or sick days. During holidays, the business is closed, and no work is permitted. Requires a hybrid schedule of a minimum of 3 days on-site, up to including fully on-site depending on department requirements. Project Overview: We are seeking a junior data scientist to strengthen the team’s AI and data analytics capabilities. This contingent worker will support the development and execution of AI use cases, particularly those involving Copilot, and will help manage increasing data analytics requests from the business. Their contribution will enable the team to meet growing demand, accelerate delivery of insights, and enhance overall analytical effectiveness. Job Functions & Responsibilities: • CoPilot prompt engineering, • CoPilot/CoPilot studio agent and more advanced features, • Advanced data analtyics for operations, using operational data to generate business insights, • Works with greater independence, however, projects are still assigned by Manager/Director of Data Analytics., • Works under moderate supervision, receiving advice and guidance from Lead Data Scientists., • Work collaboratively with business partner to understand business analytical needs and propose solutions, • Deliver the data products, • Deliver presentations and reports, • Must meet deadlines set by senior level or above. Skills: • Advanced CoPilot/CoPilot Studio experience, • Prompt Engineering, • Advanced data analytics skills, • Experts in Python and SQL, and Expert experience working with data analysis libraries and frameworks (e.g., Pandas, NumPy, SciPy, scikit-learn)., • Familiar with Databricks, Clienture Foundry, PowerBI, • Excellent communications skills Education & Certifications: Bachelor’s Degree in data science, computer science, statistics, mathematics, or a related field. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visitwww.ustechsolutions.com. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.

My client is a top Quant Investment firm. They are looking for a Senior Data Scientist to join their team :) This role is hybrid in Greenwich, CT. This Role requires Finance experience! You will serve as a bridge between data engineering and quantitative research. Working directly with researchers, you will also be responsible for ensuring research datasets are accurate, traceable, and ready for machine learning by developing robust data preparation and quality workflows. Your responsibility is to deliver clean, reliable, project-specific datasets and features to the researcher. What You'll Do: • Partner directly with quantitative researchers to understand the needs of a specific machine learning project and collaboratively produce data that best fits the model and project, • Transform raw structured and unstructured data into project-specific, research-ready datasets, • Perform feature generation and deliver prepared datasets and features to the researcher for modeling and productionization, • Resolve tagging, entity-matching, and linkage issues across signals, textual data, and securities, • Build data quality assurance, quality monitoring, and profiling workflows through programmatic checks, LLM reviews where appropriate, targeted manual inspection, and feedback-driven iterative refinement, • Build point-in-time mappings and knowledge graphs for mergers and acquisitions, bankruptcies, IPOs, and other corporate events, • Examine and onboard alternative datasets, • Ensure datasets are clean, traceable, and reliable for trading strategies, • Work across different researchers and potentially concurrent projects as priorities and the scope of the role evolve, • Communicate clearly with researchers and engineering partners What You'll Bring: • 4+ years of relevant work experience, • Strong Python programming skills, including hands-on experience with pandas and NumPy, • Strong SQL skills and practical experience with PostgreSQL, • Experience working with both structured data and unstructured or textual data, • Experience with data quality, validation, monitoring, and profiling, • Experience with Git, PyTest, CI/CD, and API development, • Ability to reason carefully through edge cases, protect data integrity, and maintain clear documentation of data definitions, transformations, and quality checks, • Ability to work independently, communicate clearly with technical and non-technical stakeholders, and manage work across multiple concurrent initiatives, • Strong visualization skills Preferred Qualifications: • Experience with scikit-learn, statistics, or advanced modeling techniques, • Experience with entity resolution, entity matching, or knowledge graphs, • Experience designing prompts and using LLM APIs for batched or large-scale investigation, validation, feature generation, and iterative refinement, • Experience building LLM-based featurization workflows, including iterative refinement, validation, and automated testing, • Experience with Claude Code, Codex, or AWS Bedrock, • Experience with AWS, including S3 and Batch, • Experience with distributed computing and large-scale data processing, • Exposure to data governance, data cataloging, or related best practices, • Strong Math and statistics skills, • Experience with Pytorch, • Prior experience in financial services, trading, quantitative research, or another research-driven environment

As NYPA continues to expand its investments in data science, Artificial Intelligence (AI), Machine Learning (ML), Generative AI (GenAI), and emerging technologies, this role will play a key part in developing advanced analytics solutions and enabling enterprise-wide adoption of data-driven decision

Integrate captured event data with other customer data sources, such as surveys, ad publishers, and app store data. As a data scientist in this role, you will partner with Marketing teams at each of our BUs, providing support through advanced marketing measurement techniques, A/B test design and ana

Travel Medical Tech/Medical Lab Scientist Allied. This Medical Tech/Medical Lab Scientist. Travel Laboratory: Medical Technologist Greenwich.

Interactive Brokers Group, Inc. is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment. IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments. Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology. This is a hybrid role (4 days in office / 1 day remote) Interactive Brokers is looking for an experienced Data Analyst with data analysis experience, preferably in the commodities or securities industry. This position is responsible for handling compliance supervision over reporting to various non-financial systems. Prior experience working with order audit trail reporting systems, order handling or trading systems, or client data is highly desired but not required. Responsibilities: This position is focused on the Consolidated Audit Trail ("CAT") reporting systems and compliance supervision to ensure that the firm has complied with the rules. This is an operational and oversight function that requires the ability to read regulations, research and analyze data, understand technical implementations of systems, and devise control procedures to test compliance. Experience in researching transactional reporting issues to form evidence-based conclusions is a necessary skill. Experience in data analysis and/or system development or improvement is strongly preferred. While preference will be given to individuals with financial services industry experience, similar compliance experience in another industry will also be considered. Specific Job Responsibilities: • 12 years of experience as a Data Analyst/Data Scientist, • Reviewing regulatory data to identify root causes and necessary remediation for errors, • Using UNIX command tools to make corrections to records as needed, • Developing surveillance for regulatory reporting and operational data, • Automating the CAT Feedback system, • Following up with software developers and/or management on any errors or exceptions that arise, • Gathering facts to assist the firm in responding to examinations and formal inquiries, • Proposing improvements to, or additional controls over, regulatory reporting Qualifications: • Bachelor's degree required, preferably in a quantitative or analytical field, • Experience in an analytical role, preferably in the financial industry, • Strong data analysis, investigatory, and problem-solving skills, • The ideal candidate would have some degree of self-sufficiency in performing data analysis using common programming languages (e.g., Python, Perl) and database queries (e.g., SQL), • Regulatory research and interpretation skills, • Strong written and verbal communication skills, including the ability to discuss and write about complex topics in a manner that is both precise and persuasive, • Familiarity with, or the ability to learn, advanced Excel skills is required (e.g., pivot tables, macros) Familiarity with the following is a plus: • FINRA Consolidated Audit Trail ("CAT") / Order Audit Trail ("OATS") systems, • FIX protocol Technological orientation is required, with the following specific skills highly valued: • UNIX knowledge is part of this job and must be learned on the job, but prior experience is preferred, • Programming skills in Python, Perl, or Go are highly desirable, • Experience using Atlassian systems (e.g., Confluence and JIRA) is a plus To be successful in this position, you will have the following: • Self-motivated and able to handle tasks with minimal supervision, • Superb analytical and problem-solving skills, • Excellent collaboration and communication (verbal and written) skills, • Outstanding organizational and time management skills Company Benefits & Perks: • Competitive salary, annual performance-based bonus, and stock grant awards, • 401(k) retirement plan with competitive company match, • Excellent health and wellness benefits, including medical, dental, and vision benefits. 100% employer-paid medical premiums, with generous employer contributions to dental & vision plans as well., • Wellness screening and assessments, health coaches, and counseling services through an Employee Assistance Program (EAP), • Generous paid parental leave (up to 16 weeks paid parental leave for eligible employees), • Company-paid basic life insurance, accidental death & dismemberment (AD&D), and short- and long-term disability coverage, • Flexible Spending Accounts (Healthcare, Dependent Care, and Commuter FSAs), • Quarterly fitness stipend to offset costs associated with traditional gym and fitness memberships or fees, • Education reimbursement and professional development opportunities, • Legal services, telehealth access, and voluntary insurance options, • Backup child and adult care support through Care.com, • Daily lunch allowance and fully stocked kitchen with healthy breakfast and snack options

Travel Medical Tech/Medical Lab Scientist Allied. This Medical Tech/Medical Lab Scientist. Travel Laboratory: Medical Technologist Greenwich.

AI Researcher - Reinforcement Learning & Post-Training $300,000–$500,000 base + meaningful equity New York, San Francisco or Seattle | Hybrid, three days in office We’re partnering with a well-funded, early-stage AI research company working directly with leading frontier labs on some of their hardest reinforcement learning and post-training problems. The team develops the environments, trajectory datasets and training signals that help models acquire new capabilities. The research centres on a practical question: what makes a model meaningfully better, and how do you prove it? Joining a small applied research team, you’ll work directly with customer researchers to turn open-ended problems into experiments, training methods and measurable improvements. You’ll have scope to shape the research approach and influence what the team investigates next. The work • Design and run post-training experiments using reinforcement learning, supervised fine-tuning and preference optimization., • Develop reward functions, verifiers and evaluation frameworks that distinguish real capability gains from reward hacking., • Shape training environments and trajectory data, investigating how correctness, coverage and data quality affect model behavior., • Analyze training dynamics and experimental results across distributed GPU workloads, using the findings to guide subsequent research., • Collaborate directly with frontier research teams, translating ambitious research objectives into concrete technical deliverables. What we’re looking for You have hands-on experience in AI research and can explain the models you trained, the decisions you made and the results you achieved. Your background will likely include: • 2-7+ years in applied research or a research scientist role, with substantive reinforcement learning experience., • Model-training work at a frontier lab, a respected emerging research lab or an AI data lab—or published research or a released model with strong results on a recognized benchmark., • Strong experimental judgement: knowing which signals to trust, where evaluations fall short and what to investigate next., • Practical experience with Python, PyTorch and modern model-training workflows. An RL-focused PhD is ideal, but demonstrated research ability and results matter more than the qualification alone. Why consider it? This is an opportunity to combine direct exposure to frontier research problems with the ownership of a small, growing team. Research depth is central to the role, and your work will directly inform the environments and data used to train advanced AI systems. The package includes $300,000–$500,000 base salary and equity, with visa sponsorship and transfers supported. To explore the opportunity, share your CV or research profile, ideally with a paper, model release or brief example of training work you personally owned.

Location: Norwalk, CT or Remote Help shape a cloud-native translational research platform designed to accelerate discoveries in multiple myeloma. My client is seeking a computational biology leader who can unite cancer genomics, multi-omic science, and technology to give researchers powerful new ways to turn complex patient data into meaningful discoveries. Why You Should Apply • Drive a research platform with global scientific and patient impact, • Stay hands-on in computational science while leading product strategy, • Work at the intersection of genomics, cloud computing, AI, and translational research, • Collaborate with leading scientists, clinicians, engineers, and technology partners What You’ll Be Doing • Own the scientific roadmap for a cloud-native translational research platform, • Translate researcher needs into scalable analytical capabilities, • Analyze clinical, genomic, single-cell, spatial, and multi-omic datasets, • Develop and validate bioinformatics workflows and computational tools, • Evaluate emerging AI and computational technologies, • Lead cross-functional scientific, engineering, and external collaborations About You • PhD in Computational Biology, Bioinformatics, Cancer Genomics, Computer Science, Biomedical Informatics, or related discipline, • Expertise in cancer genomics and large-scale genomic datasets, • Experience with scRNA-seq, tumor/immune biology, and multi-omic analysis, • Strong scientific publication and computational workflow development background, • Knowledge of modern software development; AWS/cloud experience is valuable How To Apply We’d love to see your resume, but we don’t need it to have a conversation. Send us an email to and tell me why you’re interested. Or, feel free to email your resume. Please include Job #20202.

About the Lab & Mission We are a stealth-stage applied AI research lab located in New York City, backed by top-tier investors and AI leaders. We are tackling one of the final frontiers in artificial intelligence: computational creativity. We are building a foundational intelligence layer engineered for superhuman creative reasoning, artistic decision-making, and divergent thinking. Our goal is to give anyone the ability to feel like a genius creator by simply chatting with AI. We operate as a tight-knit, high-velocity team of researchers, systems engineers, and world-class artists. The Role We are seeking an ML Research Scientist to invent new methods beyond standard pattern matching and teach LLMs genuine creative reasoning, taste, and judgment. What You’ll Do • Invent Next-Gen Training Recipes: Develop novel post-training algorithms, RL recipes (GRPO, RLVR, DPO), and process-level reward verifiers to teach LLMs creative reasoning and long-horizon planning., • Master LLM Alignment & Reasoning: Advance Chain-of-Thought (CoT), System 2 reasoning, synthetic preference data generation, and reward modeling to guide model behavior in subjective, high-taste creative domains., • Unbounded Compute & Scale: Access massive multi-GPU clusters (H100/H200) to scale research ideas from zero-to-one concepts directly into production models., • Encode Creative Taste: Work side-by-side with world-class directors, designers, and writers to decode human creative judgment and embed it into model loss functions., • Ship Frontier Research: Move at early-stage startup speed with zero paper queues, middle management, or "cool demo" limbo—your research ships directly into systems used by millions. What We’re Looking For • Academic & Research Pedigree: PhD in CS/ML from a top institution (or an exceptional M.Sc. with a proven track record of breakthrough research)., • Publication Track Record: Multiple first-author papers at top-tier ML venues (NeurIPS, ICML, ICLR). Oral or Spotlight presentations are a strong positive signal., • Deep LLM & Post-Training Expertise: Proven experience in LLM mid-training, continual pre-training, SFT, RLHF, GRPO, RLVR, or reasoning distillation., • First-Principles Mathematical Depth: Mastery of probability, optimization, and statistical learning theory needed to invent new algorithms from scratch rather than wrapping existing frameworks., • Founding DNA: High ambition, comfort with startup ambiguity, and a strong drive to own a significant piece of a technology revolution. Why Join Us? • True Founding Ownership: $250k–$600k cash + 1.5%–2.5% founding equity ("Better to own 1% of a revolution than 0.001% of an evolution")., • No Research Shelf-Life: Direct pipeline from whiteboard to production., • Frictionless Visa Support: Dedicated legal team providing fast-tracked O-1 / EB-1 petitioning and H-1B support., • Remote across the US or in-person in NYC.

A leading financial services organization is seeking a Data Scientist to support marketing, customer experience, and growth analytics initiatives. Identify and recommend new data capabilities to support strategic goals; collaborate with data enablement teams to implement solutions. Execute advanced

About Octozi Octozi is an agentic AI clinical intelligence platform that automates clinical data workflows for pharmaceutical sponsors. We ingest data from EDC, safety, labs, and other clinical systems, then apply AI to streamline data cleaning, discrepancy detection, medical review, safety reconciliation, coding, and reporting. Our customers run real trials on Octozi today, and we're building the next generation of AI-driven medical and safety review alongside them. The role We're hiring a Clinical Scientist with deep oncology experience to sit at the center of our product, our AI, and our customers. This is not a back-office science role. You'll shape what we build, validate that our AI gets the clinical details right, and make sure the sponsors using Octozi get real value from it. You will: • Partner with customer clinical, medical review, and safety teams to understand their workflows and identify where AI can remove manual burden, • Work with our engineering and product teams to design clinically sound AI checks, review logic, and analytical views, and translate customer needs into product requirements, • Dive deep into our AI models and automated checks to verify clinical correctness, pressure-test edge cases, and drive validation against real study data, • Lead customer training, onboarding, and ongoing scientific touchpoints so teams adopt Octozi confidently and fully, • Collaborate with external clinical partners, advisors, and investigators on validation work and joint initiatives, • Collaborate on and contribute to publications in scientific and clinical journals, • Represent Octozi externally through conference talks, webinars, and industry working groups, building our voice in AI-enabled clinical development Qualifications • Master's, PhD, or MD, • Experience in oncology clinical development, with hands-on work in medical data review, safety review, or clinical data interpretation, • Fluency with clinical trial data: labs, adverse events, concomitant meds, tumor assessments (RECIST), and the realities of messy EDC data, • Comfort working directly with customers: you can run a training session, lead a scientific discussion, and turn feedback into product direction, • Genuine curiosity about AI. You don't need to code, but you need to want to understand how the models work and where they fail, • Strong written and verbal communication; willingness to publish and speak on behalf of Octozi, • Startup temperament: comfortable with ambiguity, ownership, and wearing multiple hats Nice to have • Experience at a sponsor in data management, medical monitoring, or pharmacovigilance, • Prior work with AI/ML tools in a clinical setting Why join You'll be an early scientific voice at a fast-growing company defining how AI can redefine clinical development. Your judgment will directly shape the product, and your name will be on the work. Compensation and benefits $160,000 to $240,000 base salary, plus equity, healthcare, vision, and dental benefits.

Work with data platforms and pipelines designed by data engineers to develop, enhance, and maintain models, focusing on analytical correctness and model integrity. Understand the different data types and uses of data within an insurance organization. This role will challenge the status quo, apply mo

Published research at leading machine learning conferences, such as NeurIPS, ICML or ICLR, or equivalent industry research experience is preferred. Collaborate with researchers and developers to integrate model predictions into live trading infrastructure. Document research methodology, experimental

Stay current with applied ML/AI research and bring relevant techniques into the fund’s process. Strong quantitative background (PhD or equivalent research experience in a relevant field). Comfort with ambiguity and a research process with no guaranteed answer.

As a Senior AI Research Scientist, you will bridge cutting-edge AI research with production engineering to build intelligent systems that create measurable business impact. Rather than conducting research in isolation, you will be responsible for transforming advanced AI capabilities into scalable,

This position is ideal for a deeply curious researcher ready to work hands on with real instruments and real data, driving innovation from first principles. AI contributes to scientific research. Proven research record with publications in top-tier venues such as.

Data is not a support function here - data scientists work in direct dialogue with PMs and analysts, shaping investment decisions and questioning consensus. Work with alternative data, structured and unstructured - satellite imagery, geospatial data, credit card transaction data - to assess relevanc

Build automated, normalized data pipelines on top of a customer's messy real-world supply chain data. Adjacent paths that work well include planning, data engineering, data science, management consulting, finance, and industrial engineering, provided the supply chain exposure is real. In addition to

Proficiency in SQL for large-scale data analysis on distributed platforms. Strong analytical skills, with the ability to independently investigate data discrepancies and validate system outputs. Experience reading and interpreting complex data processing pipelines and business logic in source code.

Partner with data engineering teams to build scalable data pipelines and analytical data models. The candidate will work closely with business stakeholders, data engineers, product owners, and technology teams to solve critical operational and strategic challenges using data science methodologies. T

As The Mark Foundation continues to expand its global research portfolio, we are seeking an accomplished scientist to join our team as a Scientific Director or Senior Scientific Director, depending on the candidate’s experience and qualifications, to help shape the future of cancer research and ex

Collaborate within a team of data scientists to design and maintain shared infrastructure,. Python + SQL proficiency; exceptional data modeling, testing, and tooling. Bridges data and investing - clear communicator who partners with investors to convert.

Data Analyst / Data Scientist – Customer Analytics & Digital Products. Hands-on experience analyzing utility industry data, particularly AMI / smart meter usage data. Work with large, multi-source datasets using Databricks and related analytical tools.

Push forward research across deep learning, foundation models, generative AI, reinforcement learning and novel architectures. Contribute directly to the direction of the Lab as one of its founding researchers. A proven research background in deep learning, foundation models, generative AI or reinfor

Our client is building a next-generation cybersecurity platform.At its core is a hard, applied-research problem.Seed Funded ($11M) from Tier-1 Security VCs.This is a chance to join very early stage to have meaningful impact on the product & business.As a Principal Data Scientist, you will directly o

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties: Formulates

The following current certifications are preferred and will be taken into consideration in conjunction with relevant professional experience:Asbestos Certifications (NYS DOL): Asbestos Inspector, Asbestos Air Sampling Technician, Asbestos Project Monitor, and Asbestos Project DesignerAsbestos Certif

US Army 68K Medical Laboratory Specialist, 71E Clinical Laboratory Scientist, US Navy Medical Laboratory Technician, US Air Force Medical Laboratory Technician 4T0X1 and Biomedical Laboratory Officer (43TX) and related medical specialties. Medical Laboratory Technician: Associate degree in a laborat

Flavor Innovation and Taste Technology Team MemberAs part of the Flavor Innovation and Taste Technology team, you will drive development, application, and commercialization of new flavors and taste modulators in support of Pepsi's global business growth.Apply flavor knowledge and technical skills to

Flavor Innovation And Taste Technology Team MemberAs part of the Flavor Innovation and Taste Technology team, you will drive development, application and commercialization of new flavors and taste modulators in support of Pepsi's global business growth.Apply flavor knowledge and technical skills to

Medical Technologist / Clinical Lab Scientist (ASCP Certified)Salary Range - Medical Technologist: $89,000-$120,000.

Unit: MLT (Med Lab Tech)Shift: DaysDuration: 13 WeeksStart Date: ASAPDaily Hours: 8Medical Technologist/Medical Laboratory Scientist/Clinical Laboratory Scientist are responsible for tasks like testing blood in labs or bodily fluids from sweat to tissue samples so doctors can make informed decisions

Medical Technologist/Medical Laboratory Scientist/Clinical Laboratory Scientist are responsible for tasks like testing blood in labs or bodily fluids from sweat to tissue samples so doctors can make informed decisions about treatment plans. Stability HealthCare is looking for a MLT (Med Lab Tech) Al

This is an opportunity to work on enterprise-scale GenAI initiatives, helping organizations move AI solutions from proof of concept into production.You'll work across a range of customer engagements, building and deploying agentic AI applications while leveraging the latest capabilities within the D

Mile Marker, an omnichannel media agency built for the ambitions of growth marketers, is seeking a Senior Marketing Scientist to drive the rigor, methodology, and innovation behind our measurement and decision science practice. As a Senior Marketing Scientist, you will architect advanced measurement