business analyst

computational scientist - ai & human health Jobs in New York

computational scientist - ai & human health

data scientist i: network and contracts Jobs in New York

data scientist i: network and contracts

data scientist ii: networks and contracts Jobs in New York

data scientist ii: networks and contracts

manager- financial crimes data analytics and reporting Jobs in New York

manager- financial crimes data analytics and reporting

data scientist i network and contracts

Oscar Health

<div>Hi, we're Oscar. We're hiring a Data Scientist to join our Data team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves&mdash;one that behaves like a doctor in the family.

About the role:

As a Data Scientist I, you will partner closely with our Market P&amp;L, Tech and Legal teams to develop models and tooling to better understand Oscar's medical costs across its networks. You will develop a deep understanding of healthcare reimbursement and use various data sources to inform negotiations, establish reimbursement for out-of-network providers, and help manage medical costs for Oscar members.

You will report into the Senior Data Scientist.

Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $119,200- $156,450 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities:
<ul>
<li>Responsible for the creation, implementation, and maintenance of data pipelines. This includes ensuring the accuracy, reliability, and timeliness of data flow with the support of a manager.</li>
<li>Support upkeep and enhancement of our models. This involves regular model testing, validation, and refinement to ensure the models remain effective and up-to-date with the latest industry standards and practices.</li>
<li>Develop advanced analytics and validation checks on data and statistical model outputs under the review of a manager at critical points. This includes identifying potential issues, anomalies, or inconsistencies in the data, and implementing corrective measures to ensure the integrity of our models and analyses.</li>
<li>Collaborate closely with data leaders and business teams to enhance overall data processes. This involves understanding their needs and requirements, providing them with the necessary data support, and working together to develop strategies and solutions that improve our risk adjustment processes and outcomes.</li>
<li>Compliance with all applicable laws and regulations</li>
<li>Other duties as assigned</li>
</ul>
Requirements:
<ul>
<li>A bachelor's degree in a technical field OR 1+ years of relevant work experience</li>
<li>1+ years experience working with SQL or intermediate Python [For example, working with multiple data sources]</li>
<li>1+ years experience building data models and using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis</li>
</ul>
Bonus points:
<ul>
<li>Master's degree in a technical field</li>
<li>Knowledge of or previous work experience in health care or health insurance</li>
</ul><div>
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.

At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care - an experience made whole by our unique backgrounds and perspectives.

Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.

Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.

Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.

California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.</div></div>

Data Scientist I: Network and Contracts

<div>Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves&mdash;one that behaves like a doctor in the family.

About the role:

Oscar's data team is focused on pushing our understanding of this complex landscape of health insurance. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product.

As a Data Scientist II, you will partner closely with our Market P&amp;L, Tech and Legal teams to develop models and tooling to better understand Oscar's medical costs across its networks. You will develop a deep understanding of healthcare reimbursement and use various data sources to inform negotiations, establish reimbursement for out-of-network providers, and help manage medical costs for Oscar members.

You will report into the Senior Data Scientist.

Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities:
<ul>
<li>Responsible for the creation, implementation, and maintenance of data pipelines. This includes ensuring the accuracy, reliability, and timeliness of data flow with the support of a manager.</li>
<li>Support upkeep and enhancement of our models. This involves regular model testing, validation, and refinement to ensure the models remain effective and up-to-date with the latest industry standards and practices.</li>
<li>Develop advanced analytics and validation checks on data and statistical model outputs under the review of a manager at critical points. This includes identifying potential issues, anomalies, or inconsistencies in the data, and implementing corrective measures to ensure the integrity of our models and analyses.</li>
<li>Collaborate closely with data leaders and business teams to enhance overall data processes. This involves understanding their needs and requirements, providing them with the necessary data support, and working together to develop strategies and solutions that improve our risk adjustment processes and outcomes.</li>
<li>Ensures processes and policies are aligned with departmental strategies and roadmaps</li>
<li>May mentor junior data scientists and/or analysts</li>
<li>Compliance with all applicable laws and regulations</li>
<li>Other duties as assigned</li>
</ul>
Requirements:
<ul>
<li>3+ years of industry or other quantitative technical fields (which may include academia).</li>
<li>2+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data</li>
<li>2+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing</li>
</ul>
Bonus points:
<ul>
<li>Masters degree in a quantitative or technical field</li>
<li>Knowledge of or previous work experience in health care or health insurance</li>
</ul><div>
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.

At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care - an experience made whole by our unique backgrounds and perspectives.

Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.

Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.

Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.

California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.</div></div>

Data Scientist II: Networks and Contracts

Rain

<div><h2 class="jobSectionHeader">About the Company</h2>
Rain makes the next generation of payments possible across the globe. We&rsquo;re a lean and mighty team of passionate builders and veteran founders. Our infrastructure makes stablecoins usable in the real-world by powering card transactions, cross-border payments, B2B purchases, remittances, and more. We partner with fintechs, neobanks, and institutions to help them launch solutions that are global, inclusive, and efficient. You will have the opportunity to deliver massive impact at a hypergrowth company that is funded by some of the top investors in fintech, crypto, and SaaS, including Sapphire Ventures, Norwest, Galaxy Ventures, Lightspeed, Khosla, and several more. If you&rsquo;re curious, bold, and excited to help shape a borderless financial future, we&rsquo;d love to talk.<h2 class="jobSectionHeader">
Our Ethos</h2>
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.<h2 class="jobSectionHeader">
About the Team</h2>
The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and deliver a low-friction experience. We achieve this by maintaining transaction and lifecycle event monitoring, building alerts to speed fraud detection and response, and creating risk rules and strategies powered by ML models. We are a pillar of the business, supporting new products and ensuring their success. Rain&rsquo;s next-generation payment technology introduces new fraud vectors that require holistic, end-to-end thinking, strong data fundamentals, and fraud management savvy to combat.<h2 class="jobSectionHeader">
What you&rsquo;ll do</h2><ul><li>
Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis</li><li>
Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, deployment, and continuous monitoring</li><li>
Design and implement low-latency, real-time decision systems partnering with fraud risk data scientists, integrating with transaction or behavioral data streams</li><li>
Own ML infrastructure, including model versioning, automated retraining, and safe deployment strategies (e.g., shadow, rollback).</li><li>
Build robust monitoring and alerting for model performance, latency, data quality, and drift</li><li>
Lead experimentation on model explainability, drift detection, and adversarial robustness for fraud prevention use cases</li><li>
Develop tooling and processes to improve the effectiveness and speed of the ML development lifecycle</li><li>
Partner with platform teams to meet strict SLAs for availability, latency, and accuracy</li><li>
Collaborate closely with talented engineers, data scientist and compliance teams across Rain</li><li>
Work in a fast-paced environment on a rapidly growing product suite.</li><li>
Solve complex problems at the intersection of ML systems, data, and reliability</li></ul><h2 class="jobSectionHeader">
What we're looking for</h2><ul><li>
5+ years of experience building ML systems in production; at least 2+ in fraud, risk, or anomaly detection domains</li><li>
A degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field</li><li>
Proven track record designing and maintaining ML models at scale</li><li>
Advanced proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)</li><li>
Strong understanding of supervised/unsupervised learning, anomaly detection, and statistical modeling</li><li>
Ability to work autonomously, manage ambiguity, and collaborate closely with data scientists to translate analytical models into robust fraud prevention systems</li><li>
Experience developing, validating, and productionalizing predictive real-time and offline fraud detection models using supervised and unsupervised ML techniques.</li><li>
Experience collaborating with cross-functional teams to prioritize, scope, and deploy MLI solutions at scale</li></ul><h2 class="jobSectionHeader">
Nice to have, but not mandatory</h2><ul><li>
Domain expertise in banking, payments, or transaction monitoring</li><li>
Experience with graph-based or network-level fraud detection techniques</li><li>
A graduate degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field</li><li>
Experience fine-tuning or adapting generative AI / large language models for pattern generation or synthetic data augmentation (in partnership with data science)</li><li>
Knowledge of model governance, bias mitigation, and regulatory compliance in fraud contexts</li></ul><h2 class="jobSectionHeader">
Things that enable a fulfilling, healthy, and happy experience at Rain:</h2><ul><li>
Unlimited time off Unlimited vacation can be daunting, so we require Rainmakers to take at least 10 days off.</li><li>
Flexible working We support a flexible workplace. If you feel comfortable at home, please work from home. If you&rsquo;d like to work with others in an office, feel free to come in. We want everyone to be able to work in the environment in which they are their most confident and productive selves. New Rainmakers will receive a stipend to create a comfortable home environment.</li><li>
Easy to access benefits For US Rainmakers, we offer comprehensive health, dental, and vision plans for you and your dependents, as well as a 100% company subsidized life insurance plan.</li><li>
Retirement goalsPlan for the future with confidence. We offer a 401(k) with a 4% company match.</li><li>
Equity plan We offer every Rainmaker an equity option plan so we can all benefit from our success.</li><li>
Rain Cards We want Rainmakers to be knowledgeable about our core products and services. To support this mission, we issue a card for our team to use for testing.</li><li>
Health and Wellness High performance begins from within. Rainmakers are welcome to use their card for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!</li><li>
Team summits Summits play an important role at Rain! Time spent together helps us get to know each other, strengthen our relationships, and build a common destiny. Expect team and company off-sites both domestically and internationally.</li></ul>
Compensation Range: $187K - $258.7K</div>

Machine Learning Engineer - Fraud Risk

Intuit

<div>Category Data
Location Mountain View, California; New York, New York; Oakland, California
Job ID 18792</div>
 <div><div>Company Overview
<div>Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
</div></div><div>Job Overview
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Intuit&rsquo;s Consumer Group, including TurboTax and Credit Karma, empowers millions of individuals to take control of their finances. TurboTax simplifies tax preparation and enables our customers to file with confidence. By harnessing the power of data and artificial intelligence (AI), we continuously innovate and evolve our consumer offerings to deliver even greater value.
As we expand our primary banking and lending products, Intuit Credit Karma is looking for an innovative, experienced, and hands-on Staff AI Scientist to join our Consumer Risk AI Science team. In this role, you&rsquo;ll develop cutting-edge credit risk AI/ML fraud models to enable existing and new money movement products. Join a collaborative and inventive team of AI scientists and machine learning engineers where your work will have a direct impact on hundreds of thousands of customers. 
Responsibilities
What you&rsquo;ll do:<ul><li>
Contribute to the fraud risk AI science initiatives for the new and evolving Money product offerings, including complete hands-on ownership of the model lifecycle, sharing ownership of success and key results at the program-level, and driving the modeling strategy across all involved teams.<ul><li>
Design, build, deploy, evaluate, defend, and monitor machine learning models to predict and detect fraud risk for our primary banking product (CK Money) and various short-term lending products (e.g., tax refund advances, FNPL, installment loans, single payment loans, and early wage access)</li><li>
Collaborate with credit policy, product and fraud risk teams to ensure models align with business goals and product offering to drive actionable lending decisions</li><li>
Build efficient and reusable data pipelines for feature generation, model development, scoring, and reporting using Python, SQL, and both commercially available and proprietary Machine Learning and AI infrastructures</li><li>
Deploy models in a production environment in collaboration with other AI scientists and machine learning enginers</li><li>
Ensure model fairness, interpretability, and compliance</li></ul></li><li>
Contribute to the evolution of our data and machine learning infrastructure within the Intuit ecosystem to improve efficiency and effectiveness of AI science solutions.</li><li>
Research and implement practical and creative machine learning and statistical approaches suitable for our fast-paced, growing environment.</li></ul>
What&rsquo;s great about the role:<ul><li>
Solve hard, meaningful problems giving customers (not fraudsters) access to their hard-earned money alongside fun, smart people.</li><li>
Experience professional growth and encourage growth throughout the team.</li><li>
Work cross functionally (with executives, engineering, policy &amp; rules, product, analytics, operations and other AI science teams) to ensure efficient and effective use of data science in ways that make an immediate, substantial, and sustainable impact</li></ul> 
Qualifications
Minimum Basic Requirements:<ul><li>
Advanced Degree (Ph.D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline</li><li>
6+ years of work experience in AI Science / Machine Learning and related areas</li><li>
Authoritative knowledge of Python and SQL</li><li>
Relevant work experience in fintech fraud risk, with deep understanding of money movement products, banking, lending, and fraud detection data</li><li>
Relevant work experience in credit risk and/or financial fraud risk, with deep understanding of payment systems, money movement products, banking, and lending</li><li>
Experience with and deep understanding of developing, deploying, monitoring and maintaining a variety of machine learning techniques, including but not limited to, deep learning, tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing.</li><li>
Deep understanding of fraud risk modeling concepts, including fraud score calibration, label bias correction, case disposition logic, and network or graph-based link analysis for identifying organized or collusive fraud patterns.</li><li>
Ability to quickly develop a deep statistical understanding of large, complex datasets</li><li>
Expertise in designing and building efficient and reusable data pipelines and framework for machine learning models</li><li>
Strong business problem solving, communication and collaboration skills</li><li>
Ambitious, results oriented, hardworking, team player, innovator and creative thinker</li><li>
Proven experience defining and driving end-to-end modeling frameworks, methodologies, or best practices across multiple product teams or domains.</li><li>
Demonstrated ability to evaluate and integrate emerging AI/ML technologies, contributing to the company&rsquo;s external technical visibility and innovation agenda.</li></ul>
Preferred Qualifications:<ul><li>
Proficiency in deep learning ML frameworks such as TensorFlow, PyTorch, etc.</li><li>
Work experience with public cloud platforms (especially GCP or AWS) and workflow orchestration tools like Apache Airflow</li><li>
Strong background in MLOps infrastructure and tooling, particularly Vertex AI or AWS SageMaker, including pipelines, automated retraining, monitoring, and version control</li><li>
Experience with experimentation design and analysis, including A/B testing and statistical analysis.</li></ul> 
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
Bay Area California $ 205,500- 278,000
New York $ 201,500- 273,000</div></div>

Staff AI Scientist - Fintech Consumer Fraud Risk

Mount Sinai Health System

<div>Description
The Computational Scientist works with scientists and researchers to effectively use MSSM HPC (high performance computing) clusters; researches and deploys codes on new technologies, and works with research groups to identify, implement and improve their computational and data workflow. 
Responsibilities<ul><li>
Works directly with scientist and research staff to efficiently and effectively use MSSM HPC clusters, to be expanded to over 10,000 cores with high bandwidth, low latency interconnects several petabytes of data storage and databases.</li><li>
Works with research groups to help identify, implement and improve their computational and data workflow; assists in facilitating computing and data infrastructure solutions specific to MSSM researchers.</li><li>
Participates in the research and deployment of new technologies such as GPUs, Hadoop and cloud computing.</li><li>
Instruments, tunes and helps optimize researchers codes for maximum performance.</li><li>
Troubleshoots isolates and resolves applications and other technical issues.</li><li>
Benchmarks application codes, develops regression tests and deploys application performance tools.</li><li>
Installs and manages numerical libraries and application performance tools.</li><li>
Develops and implements backup policies.</li><li>
Participates in the integration of HPC resources with laboratory equipment such as sequencers, etc.</li><li>
Works with scientists and researchers to effectively use complementary national resources including XSEDE.</li><li>
Helps define and deploy a comprehensive computational and data vision for MSSM researchers.</li><li>
Writes, publishes and presents papers at national and international conferences.</li><li>
Assists in developing and writing proposals. Creates and provides clear documentation on all items.</li><li>
Other relevant duties as assigned.</li></ul> 

Qualifications<ul><li>
Masters degree or equivalent in a domain science; Ph.D in a scientific domain preferred.</li><li>
3 years, preferably in a scientific/academic computing environment or equivalent experience.</li><li>
Experience in batch HPC cluster environment with a parallel file system</li><li>
Experience installing and supporting bio and chemistry codes (NAMD, AMBER, Matlab, Gromacs, DESMOND) and laboratory equipment such as sequencers, etc.</li><li>
Experience with MPI, Open MP and numerical libraries</li><li>
Experience with scientific workflows</li><li>
Experience with instrumenting and optimizing application codes</li><li>
Experience in an academic or research community environment</li><li>
Programming experience in any applicable language</li></ul> 
Employer Description
Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai&rsquo;s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time &mdash; discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients&rsquo; medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News &amp; World Report's Best Hospitals, receiving high &quot;Honor Roll&quot; status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News &amp; World Report&rsquo;s &ldquo;Best Children&rsquo;s Hospitals&rdquo; ranks Mount Sinai Kravis Children's Hospital among the country&rsquo;s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek&rsquo;s &ldquo;The World&rsquo;s Best Smart Hospitals&rdquo; ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. 
Compensation
The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $96461 - $159101.2 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</div>

Computational Scientist - AI & Human Health

groundcover

<div>
 Location: New York (hybrid/onsite &ndash; subject to company policy)
 
 
 groundcover is a fast-growing B2D company reinventing the way developers monitor their cloud-native applications. We provide teams with the insights they need to troubleshoot better and faster when it matters most. Our mission is to make even the most complex systems feel seamless delivering an intuitive and powerful developer experience.
 
 
 We&rsquo;re looking for a
 
 Legal Counsel
 
 to join our Operations team. If you&rsquo;re excited about tech, love contracts, and are eager to be a trusted advisor in a dynamic company - we&rsquo;d love to hear from you.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Serve as a legal partner to the Sales team throughout the sales cycle, including drafting, reviewing, and negotiating: customer agreements and licensing agreements, NDAs, Data Processing Agreements (DPAs);
 </li>
 <li>
 Draft, review, and negotiate agreements with vendors, suppliers, and service providers;
 </li>
 <li>
 Support HR and leadership with employment-related agreements, including offer letters and employment contracts;
 </li>
 <li>
 Provide practical, business-oriented legal advice to internal stakeholders;
 </li>
 <li>
 Collaborate with Finance, Marketing and Sales teams;
 </li>
 <li>
 Support privacy and data protection matters as needed.
 
 
 </li>
 </ul>
 Requirements:
 
 
 <ul>
 <li>
 7+ years of experience as legal counsel with a strong emphasis on commercial law in the high-tech industry.
 </li>
 <li>
 Demonstrated, hands-on experience with SaaS agreements and licensing models &ndash; a must.
 </li>
 <li>
 Prior experience in startup environments - a strong advantage.
 </li>
 <li>
 Proven experience supporting Sales teams and closing commercial transactions.
 </li>
 <li>
 General familiarity with privacy and data protection law &ndash; an advantage.
 </li>
 <li>
 Experience working with Israeli companies or the Israeli tech ecosystem &ndash; a strong advantage.
 </li>
 <li>
 Excellent communication, negotiation skills, and a business-minded approach.
 </li>
 <li>
 Qualified to practice law in New York.
 </li>
 <li>
 Knowledge of Hebrew &ndash; an advantage.
 
 
 </li>
 </ul>
 
 Why Join Us:
 
 
 
 <ul>
 <li>
 Opportunity to join a fast-growing startup with global customers.
 </li>
 <li>
 High level of ownership and direct impact on revenue and growth.
 </li>
 <li>
 Collaborative, dynamic, and execution-focused environment.
 
 
 </li>
 </ul>
 
 Compensation for this role includes a base salary and equity (stock options).
 
</div>

Legal Counsel (Commercial)

Matter Labs

<div>
 
 Who We Are &rarr; About Matter Labs
 
 
 
 At Matter Labs, we believe freedom drives progress and prosperity. Our mission is to advance freedom for all &mdash; through mass adoption of crypto.
 
 
 To make that real, we&rsquo;re building ZKsync, a verifiable blockchain network secured by zero‑knowledge proofs. Backed by over $250 million in funding from some of the world&rsquo;s smartest investors , we move fast, ship often, and judge ourselves by the results we create.
 
 
 
 More than 20 teams already run or are building custom ZKsync chains on our network, from crypto leaders like
 
 
 Crypto.com
 
 
 ,
 
 
 Abstract
 
 
 , and
 
 
 Lens
 
 
 , to global brands such as
 
 
 Deutsche Bank
 
 
 and
 
 
 Xsolla
 
 
 .
 
 
 
 
 About The Role
 
 
 
 We are looking for a Legal Counsel, Transactions to join our legal team. Reporting directly to the General Counsel, you will be Matter Labs principal in-house legal advisor for a broad range of product,commercial, corporate, and compliance matters. Primary work will be partnering with our engineering team on products. Additionally, you will handle simple contracts (i.e. vendor, NDAs) and cross-border transactions commercial agreements (including simple. You will also work on global IP, privacy, and employment matters.
 
 
 As our ideal candidate, you are as comfortable driving projects as you are jumping in to help on other matters, regardless of the work to be done. You are a flexible and creative thinker with a pragmatic business mindset and solution-oriented approach to delivering legal services. You are willing to learn new areas of the law. You have a high emotional intelligence when interacting and collaborating with a variety of internal partners and sophisticated clients. You have strong integrity and ethics. And you want to be part of a low-ego, high-performance company.
 
 
 This is a 100% remote position (with the likelihood of optional travel to team and/or industry events) and is open to East Coast U.S., EU and UK based candidates.
 
 
 
 What You'll Be Doing
 
 
 
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 Product CounselLegal Advice: Provide expert advice on product development, privacy, data protection, and intellectual property matters.
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 Commercial and Corporate Agreements: Reviewing simple agreements and negotiating and drafting commercial agreements and technology transactions.
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 Compliance: Counsel internal clients on legal and compliance policies and implications related to proposed transactions.
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 Global Employment: Advice and policy review/drafting and compliance in partnership with the People Team
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 General Counsel Support: Perform various other duties as delegated by the General Counsel
 
 
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 What We Look For In You
 
 
 
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 Experience: 3-5 years as a lawyer, with a background in both top-tier law firms and in-house roles, particularly in international product counseling, corporate transactions and technology as well as SOC2 and GDPR; experience in other areas a plus (i.e. employment, IP)
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 Jurisdictional Qualification: Legally qualified to practice law in your jurisdiction
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 Legal Crypto Knowledge: Experience in the crypto space is required
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 Cross-Border Expertise: Proven ability or at least willingness to learn how to handle legal issues across different jurisdictions, with experience engaging local counsel when necessary
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 Commercial Acumen: Excellent commercial awareness with a pragmatic, solution-oriented approach to legal challenges.
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 High Emotional Intelligence: Strong interpersonal skills with the ability to collaborate, influence and build relationships across organizational and geographic boundaries
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 Collaboration: Effective in working with diverse stakeholders and maintaining productive working relationships
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 Self-Motivation: Highly self-motivated, flexible, proactive, and capable of managing complex matters with minimal supervision
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 Communication Skills: Impeccable judgment and fluency in English; additional languages are a plus
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 Academic Background: Strong academic credentials from a top-tier institution
 
 
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 Work model &amp; pay
 
 
 
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 Remote‑first: work wherever you&rsquo;re most effective; optional travel to team or industry events. Ideally East Coast or European time zone.
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 Freedom &amp; ownership culture: no time tracking, minimum bureaucracy&mdash;only results matter.
 
 
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 For more on how we work, check out our
 
 
 Team Handbook
 
 
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 Benefits Snapshot
 
 
 
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 Competitive compensation, equity, and token package
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 Premium health, dental, and vision coverage
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 16 weeks paid parental leave
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 Flexible paid time off plus company‑wide closure weeks
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 $2 000 equipment stipend &amp; $300 monthly co‑working allowance
 
 
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 See full benefits
 
 
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 Don't meet every requirement? Apply anyway. We're more interested in your potential, judgment, and motivation to work with our team than a perfect resume match.
 
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Legal Counsel

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