Data Scientist at Layer Health

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Machine Learning Research Scientist/ Engineer, Frontier Data Research

Scale AI, Inc. New York, NY

About ScaleAt Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, in

Dynamic Environment

Senior Applied Scientist

Relativity New York, NY

Posting TypeHybrid, RemoteJob OverviewEvery year, the global justice system benefits from the insights of Relativity AI on billions of documents- and we are just getting started on our journey to use

Dynamic Environment

Laboratory Scientist/Molecular Biologist

Amentum New York, NY

Job Description Position Location: New York City Amentum is actively seeking applicants for Laboratory Scientist/Molecular Biologist Position Description: The...

Faculty Position: Physician-Scientist, Assistant Attending Physician, Lymphoma Service, Department of Medicine

Memorial Sloan Kettering Cancer Center New York, NY

Company Overview: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe. Job Description: Exciting Opportunity at MSK: Physician-Scientist, Assistant Attending Physician, Lymphoma Service The largest of MSK’s clinical departments, the Department of Medicine encompasses experts in solid tumor oncology, hematologic malignancies, subspecialty medicine and supportive and acute care services. Offering a range of services both in multiple sites in New York City and at their suburban outpatient locations in our Regional Care Network (RCN), DoM physicians oversee the care of the whole patient. Explore the Department of Medicine for additional information about the department and its services. Role Overview: The Lymphoma Service in the Division of Hematologic Malignancies, Department of Medicine is seeking a full-time Physician-Scientist at the Assistant Attending level or higher focused on basic or translational research at our Manhattan based Campus. Scientific focus should include research aimed at understanding the biology of lymphoma and developing novel therapeutic strategies for treating these malignancies. A demonstrated record of high level of scientific achievements, including top-tier publications and success in independent research funding is expected. The position in the Lymphoma Service will include clinical responsibilities, expertise in patient care, and teaching/training. Key Requirements : MD, DO, or equivalent Board eligible or board certified in Medical Oncology New York and/or New Jersey State License Eligible Certification in Basic Life Support, Advanced Cardiac Life Support and Child Abuse Identification & Reporting Salary Range : $235,000 - $520,000 Application Instruction:  Please click on this link to apply! Helpful links:     MSK's Compensation Philosophy Benefits   #LIOnsite Closing: MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Senior Research Scientist, Organic Synthesis Core Facility

Memorial Sloan Kettering Cancer Center New York, NY

Company Overview: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe. Job Description: The Organic Synthesis Core Facility at Memorial Sloan Kettering Cancer Center is urgently looking for a PhD-level Organic/Medicinal Chemist to join our team. OSCF supports the work of both clinical and basic science colleagues by addressing their chemistry needs. The successful candidate will be responsible for maintaining high level productivity in the lab and will require good working knowledge of contemporary organic synthesis and medicinal chemistry to support a wide range of research projects. The candidate will have the ability to independently conceive and plan efficient synthetic strategies and designing molecules. The role requires performing experiments within established timelines, and make every effort to purify and characterize products, along with maintaining detailed and accurate laboratory notebooks. Additionally, the candidate will have the ability to reconcile bench work and effectively communicate research findings through written reports, and drafting manuscripts and patent applications. The ideal candidate should have PhD in Organic or Medicinal Chemistry. Excellent oral and written communication skills. Independent problem solving skills. Team spirit and strong interpersonal skills. Experience running flow chemistry is highly preferred. Experience with nucleoside and nucleotide chemistry is desirable. Knowledge of bioconjugation techniques is a plus. This position offers a unique opportunity in a collaborative and fast-paced environment. If you thrive in a team-oriented yet independent role, we encourage you to apply. Application Instructions Interested applicants should submit a cover letter, CV, an abridged overview of your accomplished synthesis or medicinal chemistry work, along with the names and contact information of at least three professional references. Please include specific examples that demonstrate your ability to work effectively in a team, as well as instances where you have shown independent problem-solving skills. Applications should be sent via email to: [email protected] Additional Information Hours : Onsite Monday – Friday, 9am – 5 pm Pay Range: $62,985 - $110,000 Closing: MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Data Scientist

Blue Signal New York, NY

Data Scientist Our client, an established and growing food manufacturer, is seeking a Data Scientist to join their team. The ideal candidate will have a proven track record of turning complex data into actionable insights, leading end-to-end data projects, and leveraging advanced tools to drive decision-making. You will collaborate with cross-functional teams to design, implement, and optimize data-driven strategies that enhance operational efficiency and product innovation. This Role Offers: The opportunity to work with a leading name in the food/beverage manufacturing industry. A role with significant impact on the company’s efficiency and growth. Competitive compensation and a comprehensive benefits package. A collaborative work environment that values innovation and leadership. Focus: Lead data-focused projects from inception through completion, including data engineering, analysis, predictive modeling, reporting, and visualization. Utilize Python for advanced data analysis, statistical modeling, and machine learning to develop and optimize solutions. Design and write efficient SQL queries and stored procedures to extract and transform data for analytical purposes. Create comprehensive dashboards and data visualizations to communicate findings to stakeholders. Work closely with cross-functional teams to translate business needs into data-driven solutions. Skill Set: Bachelor’s degree or higher in Analytics, Statistics, Data Science, or a related field. A minimum of 3 years of experience in a data analysis or data science role. Strong knowledge of Python, especially in the areas of data analysis, statistical modeling, and machine learning frameworks. Expertise in SQL, with advanced skills in writing efficient queries and optimizing database performance. Proficiency with Microsoft Office Suite (Excel, Word, PowerPoint) for documentation and presentation of findings. Preferred Skills: Experience with Apache Airflow for managing and scheduling workflows. Familiarity with Docker for containerizing workflows and maintaining project environments. Comfortable with command-line interaction in Unix/Linux operating systems. Hands-on experience with Plotly Dash or Streamlit for developing data applications and dashboards. Knowledge of Selenium for web scraping and automated data collection is a plus. #J-18808-Ljbffr

💰 Highest-Paid Data Scientist in New York

New York

Looking for Data Scientist positions in New York? Explore local job openings and connect with employers today. Your next career move starts here

Data Scientist

Adelaide New York, NY

Fast-growing measurement company looking for a Data Scientist with 3-5 years of experience to work with our Data Science team to help build the AU and drive our measurement product forward. Who we are Adelaide is the leader in one of the fastest-growing areas of digital advertising: attention metrics. Since 2020, we’ve been a trusted measurement partner for 40% of Fortune 50 companies. They rely on our metric, AU, to maximize the effectiveness of media spend. AU is “the attention economy's most widely recognized metric,” according to Adweek, and we swept the measurement category in the 2024 Adexchanger awards. Our business is growing rapidly—we’ve doubled revenue in just 18 months and grew our team by 45% last year. Earlier this year, in partnership with The New York Times, we launched Adelaide for Publishers, the next step in our vision to create a more fair and equitable marketplace for media. Adelaide is backed by prominent investors such as Human Ventures (Joe Marchese), Aperiam Ventures (Joe Zawadzki & Eric Franchi), WGI (Jonah Goodhart), and Irwin Gotlieb. While we have an office in NYC, we’re very remote-friendly and support flexible work arrangements. How we operate We are a team of action-oriented doers; management rolls up their sleeves to contribute daily. Our culture is rooted in curiosity and loosely held but rigorously vetted opinions; everyone is encouraged to contribute to planning and strategy. Position Overview This position reports to the Director of Data Science; it will help to continue pushing forward the underlying models and data sets that create the AU , and work closely with product and client services team members to develop new data products and methodologies in support of all areas of the business. In this role, you will be joining a team of other data scientists and data engineers, and work with people across the organization to shape Adelaide’s data into a clear and concise story. You’ll be responsible for working with hundreds of millions of data points a day, quickly iterating on optimization methods that further advertising effectiveness and fuel the world’s first attention-based optimization platform. Day-to-day activities range from identifying and exploring new data sources, to training new models and iterating on existing models, to improving our codebase and pipelines. This is a fully remote position within the United States, with opportunities to connect with colleagues at our New York office. What you'll learn An important part of our culture is continuing education and the sharing of ideas. We offer: A large network of investors and advisors for you to access that will help your team succeed Mentorship from executives with decades of experience in adtech and media Regular internal knowledge-sharing sessions Education budget to accelerate your team’s development Specifically, in this role, you will learn: Gain a deep understanding of attention metrics and media quality measurement Complex user interaction patterns and ML solutions to account for specialized data sets Methods for processing and deriving insights from massive amounts of user experience signals Best practices and collaborative product development in a fast-paced collaborative environment Core Responsibilities Interpret raw data and form compelling narratives to draw meaningful insights that communicate our story and mission Work with our Data Science team, as well as Product and Customer Success, to shape Adelaide’s data into a clear and concise story Help to formulate, develop, and optimize models in production Help to support and augment our machine learning system to aid advertisers in buying efficient media Support client management teams with data-driven insights based on millions of behavioral data points each day Work with the engineering team to build efficient and robust data pipelines Help direct experimental studies aimed at understanding advertising value across multiple channels and media environments Workplace & Equipment New York office Access to WeWork spaces available Equal Employment Opportunity (EEO) Statement Adelaide is proud to be an Equal Opportunity Employer, committed to fostering a diverse, equitable, and inclusive workplace where all employees can thrive. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status. Our commitment to equal opportunity employment extends beyond basic compliance to encompass the active cultivation of a workplace that values different perspectives, backgrounds, and experiences. The pay range for this role is: 120,000 - 140,000 USD per year (United States) #J-18808-Ljbffr

Data Scientist

Point72 Asset Management, L.P New York, NY

A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of the latest technology capabilities and trends. We are committed to leveraging data-driven insights to drive innovation and improve our services. We are looking for a talented and motivated Mid-Level Data Scientist to join our dynamic team and help us in generating and automating key metrics. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. What you’ll do You will play a crucial role on our Data Analytics team, focusing generating and automating metrics. You will work closely with cross-functional teams to source data, produce actionable insights, and create visualizations that help drive business decisions. This role requires a blend of technical prowess and strong analytical skills, along with the ability to work independently and proactively. Specifically, you will: Develop and automate key metrics to support business objectives and decision-making processes Source, clean, and integrate data from various internal and external sources Perform data analysis using statistical and machine learning techniques to uncover insights and trends Create and maintain dashboards and visualizations to communicate findings to stakeholders Collaborate with cross-functional teams to understand their data needs and provide analytical support Write and maintain efficient, reusable, and reliable code in R and Python Document processes, methodologies, and code to ensure reproducibility and knowledge sharing Stay up to date with the latest trends and technologies in data science and analytics What’s required Bachelor’s or master’s degree in data science, computer science, statistics, mathematics, or a related field. Minimum of 5 years of experience in a data science role or a similar position Proven track record of driving metrics generation and automation in a business environment Proficiency in R and Python for data analysis, statistical modeling, and machine learning Strong experience with data manipulation and analysis using libraries such as pandas, numpy, etc. Expertise in data visualization tools and libraries such as Tableau, Power BI, matplotlib, and seaborn Experience with SQL for data extraction and manipulation Familiarity with version control systems like GitHub Understanding of data warehousing concepts and experience with databases (e.g., MySQL, PostgreSQL) Strong problem-solving skills and attention to detail. Excellent communication skills, both written and verbal, with the ability to convey complex data insights to non-technical stakeholders Ability to source data effectively and produce actionable insights Commitment to the highest ethical standards We take care of our people We invest in our people, their careers, their health, and their well-being. When you work here, we provide: Fully-paid health care benefits Generous parental and family leave policies Mental and physical wellness programs Volunteer opportunities Non-profit matching gift program Support for employee-led affinity groups representing women, minorities and the LGBTQ+ community Tuition assistance A 401(k) savings program with an employer match and more About Point72 Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here The annual base salary range for this role is $180,000-$210,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things. #J-18808-Ljbffr

Data Scientist

National Association of County and City Health Officials New York, NY

Data Scientist Hybrid (NYC) 3-Month Contract $75-85/hr Role Overview We are partnered with wealth management firm that specializes in delivering tailored wealth management, financial planning, and investment services to high-net-worth individuals, families, and businesses. The firm focuses on providing comprehensive solutions to help clients manage and grow their wealth, plan for retirement, and navigate complex financial situations. Responsibilities Partner with Product, Engineering, and/or Design to enable clear, impactful, actionable, and innovative insights that shape key decisions. Conduct rigorous, high-quality analyses that shape the way they think about the future. Define and evaluate key metrics and understand their levers. Leverage clear communication skills, with an aptitude for translating analysis results into compelling and comprehensible concrete recommendations for the business. Adapt to a rapid changing environment and be proactively inquisitive to identify new areas of opportunity for Data Science. Have an eye for scale and identify ways in which your work can have broader impact. Have a strong sense of responsibility and integrity and can balance both short-term and long term objectives. Qualifications 3+ years of experience in Data Science & Analytics (prior experience in a start-up, fintech, or social media companies in a product/go-to-market capacity is a plus). SQL - you should be fluent with UDFs, joins, aggregation functions, and window functions to build complex queries for analyses. Prior experience with Python/R. Experience with visualization tools like Tableau, Looker, Amplitude Experience with ETL frameworks like Airflow & Stitch. Advanced degree in a quantitative field or equivalent experience in one or more of the following: Mathematics, Statistics, Economics, Computer Science, Machine Learning, Data Science, Engineering, etc. Strong knowledge of Statistics, Experiments (e.g. A/B Testing), Hypothesis testing, Machine Learning, and other Analytics approaches. Bonus: Technical chops w/ Git, Terminal, CLI, etc. Experience in: Causal Inference, Experiments + Variance Reduction (e.g. Delta Method, Post Stratification, CUPED), Machine Learning (Regression, Classification, Clustering, SVD/PCA, etc.), & Behavioral Econ. #J-18808-Ljbffr

New York, NY

Posted 1 day ago

Job Description

About us

Layer Health is an AI startup spun out of MIT. We leverage LLMs to vastly improve the value and impact that can be unlocked from medical record data - building the "AI layer" for healthcare. We know that all organizations in the healthcare ecosystem struggle to extract and synthesize insights from medical records at scale. Our AI layer radically speeds up and improves the quality of information gleaned from these records to power a wide range of impactful use cases- from research to quality measurement to clinical care pathways. Our team consists of world-class experts across machine learning, LLMs, medicine, engineering, and commercial execution. We are a Series A company headquartered in Boston, with offices in both Boston and NYC. We're seeking outstanding hires to join our team as early members. This is an opportunity to contribute to a high-impact, collaborative, mission-driven team, and help define the next stage of growth for Layer Health. Together, we will create the AI layer that will redefine healthcare for the better.

Job Description

We're hiring an exceptional data scientist to join our team (Boston or NYC office). In this role, you will be responsible for advancing our applied ML and data science capabilities for healthcare.

You can expect to:

Develop, validate, and measure the impact of large language model (LLM) and other ML-based approaches for chart abstraction from both unstructured and structured healthcare data. Apply and rigorously evaluate cutting-edge methods to solve real clinical problems. Work hand-in-hand with our customers to best leverage Layer Health's platform and supercharge their workflows.

Stay up-to-date on the latest in applied NLP and generative AI techniques and proactively explore these technologies where applicable. Establish and enforce best practices for data science and analytics. Cultivate and foster a robust and thoughtful data science and product culture that drives the company forward.

We look for:

2-3 years of professional experience in data science (a proven track record of successful projects in healthcare or clinical applications is a bonus, but not required). Strong programming skills in Python, and fluency with modern data science and ML/NLP libraries (PyTorch, Tensorflow, HuggingFace, etc.).

Deep fluency and instincts for data manipulation, treatment, and evaluation, with the ability to wrangle large, complex datasets efficiently and methodically. Familiarity with modern applied LLM techniques and their practical implementations (any experience using these techniques is a bonus). Proactive mindset to identify and solve problems, continuously improving our data science capabilities. A strong communicator who thrives in a customer-focused, fast-paced environment. An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team.

We are a Boston-based company, and expect engineers to meet regularly in-person in Boston (engineers from Boston, NYC, or east coast are welcome).

Join us and help us transform healthcare with AI. Layer Health is committed to foster an environment of inclusion that is free from discrimination. We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.

Expected compensation range for this role is $135,000-190,000 for Boston and NYC-based candidates; range may vary for candidates outside of the Boston/NYC metro area. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made.