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$80 - $150/hourpayPhysics MasteryWritten Technical CommunicationCritical Evaluation & Error DetectionCalibrated Technical JudgmentVerification & Cross-Checking Fluencymicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Role Title: Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms., • Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology., • Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback., • Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement., • Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument., • Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate., • Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes. Preferred Qualifications • PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials)., • Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist., • Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links., • Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation., • Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars., • Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor., • Reliable access to high-speed internet and a computer suitable for rigorous technical work.

Tiger Analytics is looking for experienced Data Scientists GenAI to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions. Responsibilities: • Work on the latest applications of data science to solve business problems, • Work directly with client stakeholders to translate business problems into high level analytics solution designs, • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value, • Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably, • Design and develop machine learning and Generative AI solutions using RAG, • Build LLM-powered applications leveraging Azure OpenAI and orchestrate workflows using LangGraph, • Develop agentic AI workflows for automation, insights generation, and decision support, • Implement Document Intelligence solutions for extracting insights from unstructured data, • Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights, • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution, • 6+ years of experience working as a GenAI Data Science., • Proficiency in Python and SQL, • Experience with MLflow and model lifecycle management, • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git, • Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications, • Experience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.), • Experience with Bedrock, JumpStart, HuggingFace, • Experience evaluating ethical implications of AI and controlling for them (e.g., red-teaming), • Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning, • Experience in generative algorithms (e.g., GAN, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.), • Experience developing models from inception to deployment 5-10 years of professional work experience with at least 5 years in Data Science., • Experience building end-to-end ML pipelines in production, • Familiarity with CI/CD pipelines, monitoring, and model governance, • Ability to design scalable and reliable AI systems, • Bachelor's in Business Analytics or equivalent work experience. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

VoteShield (a project of _) seeks a highly motivated and civic-minded Data Scientist to join our growing team. VoteShield supports election officials in maintaining complete and accurate voter data in order to protect free and fair elections for all qualified voters. As a member of this world-class analysis and engineering team, you will analyze public voter registration data, work with election administrators, support Protect Democracy on a variety of data projects, and grow your technical skills. This position is remote* based in the US. Ideal candidates will be critical thinkers with a command of data analysis techniques and the ability to distill findings into clear, accessible reports, presentations, and other data tools. We are seeking people who bring an interest in civic data, commitment to non-partisanship, and passion for defending and strengthening our democracy through free and fair elections. At Protect Democracy, we bring an integrated advocacy approach to solving issues facing U.S. democracy. As a part of our integrated advocacy approach, our data scientists conduct analyses that support our mission alongside legal and policy experts, organizers, and communications strategists. Together, we run novel data experiments that address a range of critical pro-democracy use cases, from enhancing the in our elections to and accountable, to informing and inspiring advocacy for proportional representation. We do not expect that any one candidate will have all of the experiences and requirements listed — our current data science team comes from a variety of professional backgrounds, including academia and the public and private sectors. We highly encourage you to apply if the job description gets you excited about the role and the work of Protect Democracy & VoteShield. As a data scientist, you will: Review and analyze changes in public voter registration data and absentee ballot data in order to provide election officials with timely insights and answers to data questions; Write and present data reports that are accessible to the team, partners, and election administrators; Conduct legal/policy research as needed to provide context for your reports; contribute to research that utilizes VoteShield’s unique datasets and skills to assess election administration policies; Partner with colleagues across Protect Democracy to enhance their work with data analyses, custom tools, automation, and more; Expand and enrich our current data with external datasets; Create, refine, and document your standards for reporting, and compare and collaborate to develop best practices for the team; Build and maintain relationships with current and prospective partners in the election community. The ideal candidate brings: Interest in public or civic data and commitment to data-driven and non-partisan analysis; Ability to communicate a clear story with data, both in writing and presenting, that describes the context, insights, conclusions, and open questions; Proficiency in Python; A relevant bachelors degree, or equivalent experience; Growth mindset and comfortability with an open and transparent culture that values feedback up, down and sideways; Excellent critical thinking skills, demonstrated by enthusiasm for investigating novel problems and exercising sound judgment about how to get to optimal solutions; Rigorous attention to detail and the highest standards for excellence in execution; Ability to track, prioritize, and, where necessary, triage work in order to use time in the most efficient and productive way; Comfort working with small teams, proactively working to build the organizational culture and figure out what’s needed to move your work forward. Pluses, but not required: Experience in social science research; Knowledge of public policy and/or political science; Experience with election administration or voting data. Compensation The starting salary range is $84,300-$92,000, commensurate with the candidate’s relevant experience, capabilities and skills and in alignment with internal equity. About Protect Democracy *Flexible location. We are a remote-first organization based exclusively in the United States, meaning our staff work within the US and primarily virtually. We also offer shared workspaces for those who enjoy working in an office environment. We are established for remote work in many states across the country, and while candidates based anywhere in the United States are welcome to apply, we may not be able to offer employment in your current location. If you proceed in the hiring process, we will discuss where you currently live and what is possible in our initial interview. All staff are also required to travel at least two times per year to team retreats, and this role may require periodic travel. Accommodations to this requirement will be made only in exceptional circumstances. Commitment to an inclusive workplace. Protect Democracy is an equal opportunity employer. We believe that a broad range of backgrounds, perspectives, and lived experiences strengthens our ability to analyze problems, craft solutions, and drive meaningful change. Protect Democracy encourages applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, or veteran status. Phenomenal benefits. Our benefits package includes generous sick leave and a flexible vacation policy where we encourage team members to take 4-5 weeks every year, along with 12 paid holidays, 6 weeks of paid family medical leave, and 18 weeks of paid parental leave. We also offer a 401(k) plan with up to 6% employer match that vests immediately. Additionally, we cover employee medical premiums at 100% (with up to 95% coverage for dependents depending on plan selection), and employee and dependent’s dental/vision at 100%. All employees have access to long-term disability and life insurance, fertility benefits, a home office stipend, and bonuses at the discretion of the Executive Director. Ample opportunities for personal & professional development. Candidates who do not meet all listed criteria should still apply, as our organizational structure focuses on providing mentorship and opportunities for professional growth. Applications will be reviewed on a rolling basis and our hope is that new team members will join us as soon as possible (and no later than September 2026). Important notes Contact _ if you require specific accommodations at any point in the hiring process. Keep an eye on your promotions/spam folders to avoid missed communication. We are unable to provide status updates for each application we receive. If you reach out and do not hear back, please know it is not for lack of appreciation or interest, but simply for lack of staff capacity to respond to individual inquiries. The application will include a voluntary EEO survey so that we can monitor the applicant pool as a whole for representation and equal employment opportunities, and to evaluate our progress as an organization toward a diverse and inclusive workforce, which we believe is a pillar of a thriving democracy. The categories used by the EEO survey are limited and may not reflect your lived experience; please feel free to opt out of any of the questions. Your responses to this survey are entirely separate from your application materials, are not accessible to those responsible for hiring decisions, and will not affect your candidacy in any way. Your application has been successfully submitted! _ We appreciate your interest in this position. Unfortunately, you have already applied for this job.

Full-time Description Binary Defense is seeking a talented Data Scientist / Software Engineer to join our team in a dual-discipline role bridging applied data science and production software engineering. This is not a research-only or notebook-only position — you will own the full lifecycle of data-driven capabilities, from hypothesis to deployed service running in our production environment supporting MDR operations and the NightBeacon product suite. Responsibilities • Design, build, and ship production-grade data and ML systems that operate against large-scale cybersecurity telemetry, including endpoint, network, identity, and cloud-derived signals., • Apply analytical, statistical, and machine learning techniques to collect, analyze, and interpret large cybersecurity data sets, and translate findings into deployable software., • Develop, test, and maintain backend services, APIs, and data pipelines that integrate ML models and analytics into Binary Defense products and SOC tooling., • Collaborate closely with software engineering, product, detection engineering, and security engineering teams to embed algorithms and analytics directly into our platforms., • Own code quality across the stack — write clean, well-tested, reviewed code; participate in design reviews; and contribute to architectural decisions affecting data and ML systems., • Operationalize models with appropriate monitoring, versioning, retraining, and rollback strategies (MLOps)., • Contribute to product, services, and detection engineering roadmap by identifying where data science and engineering investment will measurably improve outcomes for analysts and clients., • Develop data-driven solutions that ship — not prototypes that stall. Requirements Data Science • Master's or PhD in Computer Science, Machine Learning, Data Science, Statistics, or equivalent experience., • At least 3 years of experience as a data scientist, ML engineer, or applied research engineer, ideally supporting cybersecurity applications., • Working knowledge of linear algebra, statistics, probability, and the mathematics underlying modern ML., • Strong understanding of statistical modeling supervised and unsupervised learning, and the tradeoffs between classical ML and deep learning approaches., • Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn., • Experience with big data technologies (Spark, Hadoop ecosystem, or modern equivalents) and NoSQL data stores., • Experience with data visualization and analyst-facing tooling (Tableau, Power BI, D3.js, or similar). Software Engineering • At least 3 years of experience writing production software, with code shipped to real users in a team setting., • Strong proficiency in Python, plus working competence in at least one additional production language (Go, Rust, C#/.NET, Java, or TypeScript)., • Solid foundations in software design: data structures, algorithms, OOP and functional patterns, API design, and system design for performance and scale., • Experience designing and building REST or gRPC APIs and the services behind them., • Strong with relational and NoSQL database design, query optimization, and schema evolution., • Proficient with Git, modern code review workflows, and writing unit and integration tests., • Comfortable with CI/CD pipelines and shipping behind feature flags or staged rollouts., • Experience with containerization (Docker) and at least one orchestration or deployment platform (Kubernetes, ECS, or equivalent)., • Familiarity with cloud platforms — AWS, Azure, or GCP — including their managed data, compute, and ML services., • Excellent written and verbal communication; able to defend technical decisions and write documentation that engineers and analysts will use. Preferred • Direct experience applying data science to security problems: detection engineering, threat intelligence enrichment, behavioral analytics, malware classification, alert triage, or adversary attribution., • Experience with managed ML services such as Amazon SageMaker, Vertex AI, or Azure ML., • Familiarity with LLM-based systems, including retrieval-augmented generation, agentic workflows, evaluation frameworks, and prompt and model lifecycle management., • Experience operating in an Agile or continuous-delivery environment., • Knowledge of data privacy and security regulations such as GDPR, CCPA, or HIPAA, and experience handling sensitive customer data accordingly., • Familiarity with DevOps and SRE practices, including infrastructure-as-code (Terraform), observability (metrics, logs, traces), and incident response., • Background or prior role in threat intelligence, security research, security engineering, or SOC analysis., • Strong work ethic, intellectual honesty, and creative problem-solving — comfortable working through ambiguity and shipping under real deadlines. About Binary Defense Binary Defense is a leading Managed Detection and Response (MDR) provider, trusted by hundreds of organizations to protect what matters most. Our team of SOC analysts, threat hunters, detection engineers, and threat researchers work around the clock to deliver proactive, risk-focused security outcomes. We bring the attacker's mindset to defense, helping clients detect threats earlier, respond faster, and continuously improve their security posture. For more information, visit our, check out our, or follow us on. Binary Defense offers competitive medical, dental and vision coverage for employees and dependents, a 401k match which vests every payroll, a flexible and remote friendly work environment, as well as training opportunities to expand your skill set (to name a few!). If you’re interested in joining a growing team with great perks, we encourage you to apply!

Role - Machine Learning Expert (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our premier client. About Adidev Technologies Inc. Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. We provide support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? We invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Facet is a fully remote financial technology company with a mission to empower people to live more enriched lives by delivering a new standard of financial advice that elevates expectations across consumers and the industry. We believe that objective, personalized financial advice that integrates into every facet of life is essential to living well. People’s financial lives are dynamic and ever-evolving, so we cover everything money touches–from starting a business to buying real estate to your investments and much more. Facet believes financial advice should be delivered with a fresh, human-plus-tech approach, that includes a CFP® professional–the highest certification possible. As a Lead Data Scientist at Facet, you will push the limits of our analytics and predictive capabilities through research, experimentation, and data modeling techniques. You will join the Data Science & Analytics team within Facet tasked with modeling, understanding, and automating various aspects of our growth, margin, and retention initiatives in addition to product features. You will work with your teammates and stakeholders on both displaying the truth of the past, while doing your best to predict the unknown. You should be comfortable with communication, visualization, automation, software engineering, and reproducibility. This role is intended to wear many hats, but with a skew towards advanced & predictive analytics. You will also be involved with some reporting, data modeling, and visualization requirements. The perfect candidate loves being both a great analyst and scientist, and hungers to improve at both. Day-To-Day Responsibilities: As a Lead Data Scientist with a focus on both reporting and predictive modeling, your day-to-day responsibilities will include a mix of tasks related to data analysis, visualization, and predictive model development. Your core duties will consist of: • Exposing Insights: As a Data Scientist, your goal is not to just display data, but turn it into information. You will produce analysis reports and diagnostic models to try and discover hidden relationships and patterns between our data and metrics of interest., • Evaluate & Produce Quality: Good code is reviewed code. You will be involved in ensuring your and your teammates’ code is free from errors, bias, and is easy to understand., • Data Engineering: We are a newer team at a growing company, and you’ll need to do a lot of your own data engineering. Gather, clean, and preprocess data from various sources, ensuring accuracy and consistency. Perform feature engineering to generate new variables or transform existing ones to improve the quality and usefulness of the dataset. Tie all these tasks together in a pipeline and deploy on cloud based infrastructure., • Predictive Modeling: Develop, validate, and deploy predictive models using machine learning algorithms and statistical techniques, such as regression, classification, clustering, time series forecasting, and optimization., • Generative Modeling: Use a combination of open source and paid technologies to produce abstractions & novel features for other applications., • Continuous Improvement: Data Science is a quickly moving field and you’ll need to keep up to date. You will need to keep abreast of the latest developments in data science, machine learning, and reporting technologies, while incorporating them into your work when appropriate. Participate in knowledge-sharing sessions to contribute to the growth and development of others. Basic Qualifications: • 6+ years of experience in a data science or machine learning role, • Experience with business efficiency metrics, such as: Customer Acquisition Cost (CAC), Revenue Acquisition Cost (RAC), Retention, Margin, Annual Recurring Revenue (ARR), Lifetime Value (LTV), and Engagement., • Experience with at least one dashboarding tool, such as: Tableau, Power BI, Looker, Google Data Studio, Streamlit, Dash, etc…, • Proficiency with Python, • Proficiency with SQL, • Knowledge of machine learning algorithms and statistical techniques for predictive modeling, such as: Regression, Classification, Clustering, Time Series Analysis, and Optimization, • Proficiency with end-to-end pipelines, • Expert knowledge in model evaluation metrics, • Experience pulling data from various third party systems and APIs, • Proficiency with version control, • Proven ability to work both independently and as part of a team, • Proficiency with visualization in python, • Familiar with best practices in secure data handling and customer data privacy Preferred Qualifications: • Prior experience in the financial planning industry, • Prior experience in the consumer technology industry, • Prior experience using containers to produce repeatable and shareable code, • Prior experience with Natural Language Processing, • Prior experience with cloud deployment, • Prior experience with Neural Networks and/or LLMs, • $170,000 - $200,000 base salary + bonus determined by the experience, knowledge, skills, and abilities of the applicant - Please note, our salary ranges are based on current market data. Should you feel strongly that we are not in line, we highly recommend you to reach out and let us know. We are always looking to improve on building the best place for employees., • Equity, • Flexible PTO, • All the benefits: medical, dental, and vision insurance, 401(k) with employer match, short and long term disability coverage (paid by Facet), life insurance options and paid parental leave, • Certification reimbursement program, • Work from anywhere in the US

Summary We are seeking a senior data scientist to lead our demand modeling and product advancement efforts. As an early RightsHelper hire, you would help oversee and develop key components of our industry-leading RightsHelper platform. The ideal candidate has experience building and maintaining accurate and interpretable models for pricing, forecasting, or marketing applications in a fast-paced, enterprise environment. Our platform provides a unique opportunity for senior data scientists to work closely with leading sports and live event organizations in developing innovative techniques and advancing their decision-making. Job Functions • Develop (and improve upon) robust and extensible production demand modeling, sales forecasting, pricing, and ticket inventory optimization applications that successfully enable demand-based decision-making across sports and live event organizations., • Support junior Data Science team members in efficiently resolving complex issues that extend beyond existing documentation and guidance., • Perform model calibration processes for select partner organizations; this includes externally interacting with partner analytics leaders and successfully delivering on their specific priorities., • Improve internal and external RightsHelper modeling product documentation and internal process guidance., • Maintain and improve upon codebase with version control, collaboration, and general software development best practices., • Provide strategic input on product development, data collection, data architecture, front-end development, and general business strategy., • Help build a collaborative engineering culture focused on ownership and empathy for our customers. Required Experience • Bachelor’s or Master’s Degree in Statistics, Economics, Mathematics, Operations Research, Computer Science, or a related field., • At least four years of experience in revenue (yield) management, data science, statistical analytics, machine learning, consulting, or a related field., • Familiarity and good judgment with a broad range of modeling methodologies and tools, such as exploratory data analysis, regression models, simulation, discrete choice, optimization, Bayesian statistics, and causal inference., • Demonstrated excellence with statistical programming and development (R required, Python is a plus)., • Experience with using git/version control tools in a collaborative team environment., • Excellent reasoning, problem-solving, deduction, and communications skills., • Demonstrated ability to efficiently identify and solve complex problems in a fast-paced, entrepreneurial environment. Preferences • Experience with cloud computing (e.g. AWS, Docker) is a plus., • Proficiency with SQL and relational databases is a plus., • Knowledge of BI presentation tools and packages (e.g. R Shiny, Tableau, D3), web programming languages (e.g. HTML, CSS, JavaScript), and general programming languages (e.g. C, C++, Java) is a plus., • Knowledge of sports, concert, or ticketing industries is a plus. The base pay for this position is $120,000-$140,000. A bonus will be provided as part of the compensation package. Benefits • Medical, dental, and vision insurance, • 401(k) with employer match, • Paid parental leave (up to 14 weeks), • Flexible PTO About Us RightsHelper is a ticketing analytics and operations platform. Our team includes operators, data scientists, and engineers who have worked inside professional sports organizations and understand the complexity of managing ticketing businesses at scale. We partner with teams and rightsholders across sports and live entertainment to support smarter, more confident decisions—without compromising flexibility, transparency, or control.

We’re looking for a Data Scientist to join our growing team and help develop AI solutions at the intersection of oncology, precision medicine, and drug development. In this role, you will work closely with data scientists, engineers, scientists, and product to turn complex biomedical data into meaningful AI-driven workflows. You will contribute to research, experimentation, and model development across digital pathology, clinical data, and LLM-based applications. This is a great opportunity for someone who wants to grow in a highly interdisciplinary environment, learn from an experienced team, and take part in building technology that can support the future of precision oncology. • Develop and evaluate ML, deep learning, and LLM-based workflows for digital pathology and oncology data., • Build data and model pipelines for biopsy images, clinical records, reports, and other biomedical datasets., • Use LLM tools and coding assistants to accelerate research, analysis, prototyping, and workflow automation., • Design and run experiments, analyze model performance, and translate results into clear conclusions., • Collaborate with data scientists, engineers, pathologists, and clinical experts to turn research questions into working AI solutions., • BSc or MSc in Software Engineering, Computer Science, or a related field, • 5+ years of experience in deep learning and machine learning algorithm development., • 3+ years of experience developing instance segmentation models., • 2+ years of experience working with LLMs and prompt engineering., • Experience using AI coding tools such as Cursor, Claude Code, or similar tools., • Strong analytical skills, attention to detail, and ability to learn quickly. Position terms: • Location: Remote (in the USA)

Why join Freenome? Freenome is a high-growth biotech company developing tests to detect cancer using a standard blood draw. To do this, Freenome uses a multiomics platform that combines tumor and non-tumor signals with machine learning to find cancer in its earliest, most-treatable stages. Cancer is relentless. This is why Freenome is building the clinical, economic, and operational evidence to drive cancer screening and save lives. Our first screening test is for colorectal cancer (CRC) and advanced adenomas, and it’s just the beginning. Founded in 2014, Freenome has ~400 employees and continues to grow to match the scope of our ambitions to provide access to better screening and earlier cancer detection. At Freenome, we aim to impact patients by empowering everyone to prevent, detect, and treat their disease. This, together with our high-performing culture of respect and cross-collaboration, is what motivates us to make every day count. Become a Freenomer Do you have what it takes to be a Freenomer? A “Freenomer” is a determined, mission-driven, results-oriented employee fueled by the opportunity to change the landscape of cancer and make a positive impact on patients’ lives. Freenomers bring their diverse experience, expertise, and personal perspective to solve problems and push to achieve what’s possible, one breakthrough at a time. About this opportunity: At Freenome, we are seeking a Staff Machine Learning Scientist to help grow the Machine Learning Science team, within the Computational Science department. The ideal candidate has a strong knowledge of artificial intelligence (AI), including machine learning (ML) fundamentals and extensive experience with deep learning (DL) methods, a track record of successfully using these methods to answer complex research questions, the ability to drive independent research and thrive in a highly cross-functional environment. They will be responsible for the development of algorithms for early, blood-based detection tests for cancer. They will build on a foundation of ML/DL and statistical skills to develop models for identifying molecular signals from blood. They will also work with computational biologists, molecular biologists and ML engineers to design and drive research experiments, and will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer. The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote. What you’ll do: • Independently pursue cutting edge research in AI applied to biological problems (including cancer research, genomics, computational biology, immunology, etc.), • Build new models or fine-tune existing models to identify biological changes resulting from disease, • Build models that achieve high accuracy and that generalize robustly to new data, • Apply contemporary interpretability techniques to provide a deeper understanding of the underlying signal identified by the model, ideally suggesting potential biological mechanisms, • Work closely with ML Engineering partners to ensure that Freenome’s computational infrastructure supports optimal model training and iteration, • Take a mindful, transparent, and humane approach to your work Must haves: • PhD or equivalent research experience with an AI emphasis and in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics, • 6+ years of postdoc or post-PhD industry experience achieving impactful results using relevant modeling techniques, • Expertise demonstrated by research publications or industry achievements, in driving independent research in applied machine learning, deep learning and complex data modeling, • Practical and theoretical understanding of fundamental ML models like generalized linear models, kernel machines, decision trees and forests, neural networks, boosting and model aggregation, • Practical and theoretical understanding of DL models like large language models or other foundation models, • Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning, • Proficient in current state of the art in ML/DL approaches in different domains, with an ability to envision their applications in biological data, • Proficiency in a general-purpose programming language: Python, R, Java, C, C++, etc., • Proficiency in one or more ML frameworks such as; Pytorch, Tensorflow and Jax; and ML platforms like Hugging Face, • Experience in ML analysis and developer tools like TensorBoard, MLflow or Weights & Biases, • Excellent ability to communicate across disciplines, work collaboratively, and make progress in smaller steps via experimental iterations, • Proficient at productive cross-functional scientific communication and collaboration with software engineers and computational biologists, • A passion for innovation and demonstrated initiative in tackling new areas of research Nice to haves: • Deep domain-specific experience in computational biology, genomics, proteomics or a related field, • Experience in building DL models for genomic data, with knowledge of state-of-the-art DNA foundation models, • Experience in NGS data analysis and bioinformatic pipelines, • Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS, • Experience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems Benefits and additional information: The US target range of our base salary for new hires is $199,675 - $302,400. You will also be eligible to receive pre-IPO equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ _ for additional company information. Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Applicants have rights under Federal Employment Laws. • _, • _, • _ #LI-Remote

Figma is growing our team of passionate people on a mission to make design accessible to all. , Figma helps entire product teams , design and build better products — from start to finish. Whether it’s consolidating tools, simplifying workflows, or collaborating across teams and time zones, Figma makes the design process faster, more efficient, and fun while keeping everyone on the same page. From great products to long-lasting companies, we believe that nothing great is made alone—come _ with us! We are looking for an experienced Data Scientist to join our growing data team. At Figma, Data Scientists are deeply embedded within cross-functional teams across the company—from Product to Finance, Marketing, and Platform. We are hiring across a number of roles in these areas. This is ideal for someone excited to own high-impact data projects, partner strategically with stakeholders, and shape the future of our products and business. The ideal candidate will bring strong analytical and technical skills, business intuition, and a collaborative mindset to guide decision-making and unlock growth opportunities. You’ll work on problems ranging from understanding user behavior to optimizing revenue strategies, improving internal tooling, and influencing product direction through experimentation and data modeling. This is a full-time role that can be held from one of our US hubs or remotely in the United States. • Collaborate across teams to define and measure key metrics, design experiments, and uncover insights that inform strategic decisions, • Build models and analytical frameworks to support product, marketing, platform, or finance initiatives, • Develop tools, datasets, and systems that enable others to work with data more efficiently and rigorously, • Own complex data projects end-to-end—from problem scoping to solution delivery, • Champion data quality, accessibility, and the democratization of data across the organization, • Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact, • 4+ years of experience in Analytics, Data Science, or a related field, • Fluency in SQL and proficiency in a scripting language like Python or R, • Experience with distributed data systems (e.g., Redshift, Snowflake, Presto, Hive, Spark), • Strong foundation in statistical methods, experimentation, and/or forecasting, • A track record of working cross-functionally and communicating effectively with both technical and non-technical partners, • Experience supporting one or more of the following: Product, Marketing, Finance, or internal Platform/Tooling teams, • A self-starter attitude and the ability to thrive in ambiguous and fast-paced environments At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information. Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future. Annual Base Salary Range (SF/NY Hub): $136,000 - $338,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an _ - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to _. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: • Holding interviews in an accessible location, • Enabling closed captioning on video conferencing, • Ensuring all written communication be compatible with screen readers, • Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with _.

_, a venture-backed startup, is on a mission to bring brands to an AI-first future—where people increasingly rely on LLMs to discover, understand, and act on information that matters to them. As AI search and conversational agents replace traditional web search and browsing, Scrunch helps marketing teams rethink how their products and services are discovered and surfaced on AI platforms like ChatGPT, Claude, Gemini, and more—working with AI platforms, not against them. This shift represents the biggest change to marketing since the dawn of the internet. With $26M in backing from Mayfield Fund, Decibel, Homebrew, GTM Capital, and leading Silicon Valley founders and operators, Scrunch has scaled rapidly since commercial launch. Today, more than 500 paying brands—including Fortune 500 companies like Lenovo, category-defining brands like Skims, and breakout startups like Clerk—use the platform. We’re looking for a Data Scientist to help us build, measure, improve AI-augmented information retrieval and web visibility, spanning retrieval & ranking, NLP, experimentation, and knowledge graph / semantic web systems. You’ll partner closely with Engineering, Product, and Marketing to turn ambiguous questions into measurable work and shippable features. Location: Remote* *This role is Hybrid (3x/week) if you are located in NYC Metro Design, prototype, and productionize models/algorithms for retrieval, ranking, and relevance quality across web and AI-assisted surfaces. Build NLP pipelines (classification, entity extraction, topic modeling, sentiment analysis) and validate them with clear offline + online metrics. Own measurement and experimentation: hypotheses, experiment design, guardrails, and readouts that drive decisions. Develop simulation / modeling frameworks to forecast outcomes, test policies, and stress-test system behavior under different assumptions. Contribute to knowledge graph / semantic web work: schema design, entity resolution, and downstream ML / GenAI applications. Translate technical work into crisp narratives for stakeholders (product tradeoffs, confidence, limitations, and next steps). Contribute to external thought leadership where it makes sense (blog posts, talks, papers). Strong foundations in statistics, experimental design, and model evaluation. Hands-on experience with information retrieval / ranking / search relevance, ideally in AI-augmented contexts. Experience building and evaluating NLP models in production or research settings Proficiency in Python and SQL Strong communication: you can explain what you did, why it matters, and how confident you are, without hand-waving. Deep comfort with the web as a system (crawl/index realities, domains, content structure, measurement constraints). Experience working with non-representative data and making results more trustworthy through sampling-aware analysis (bias checks, adjustments, uncertainty). Work with noisy/partial labels, long-tailed queries, drifting content, and evaluation that mixes offline + online signals Reinforcement learning / control theory / optimal control applied to ranking, allocation, or policy optimization. Semantic Web / Knowledge Graph tooling (RDF/OWL concepts, graph DBs, SPARQL, entity resolution). SEO + AEO familiarity and the ability to connect technical visibility drivers to business outcomes. Marketing analytics experience (attribution-adjacent thinking, funnel measurement, incrementality). Publications in top-tier venues (e.g., SIGIR and related IR/NLP conferences) or equivalent demonstrated research depth. Languages: Python, SQL Data: BigQuery, Clickhouse, Postgres, dbt, Airflow ML/NLP: PyTorch, Hugging Face, Vector Databases Scrunch is an equal opportunity employer. We welcome people of all backgrounds, experiences, perspectives, and identities. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Who are we? Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008. Summary As a Sr. Data Scientist at Smarsh, you will be analyzing a wide range of unstructured communications data to address problems for our customers through attentive listening, astute planning, and out of the box thinking to develop solutions and reporting results in an engaging manner. The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. The ideal candidate for this position will possess the ability to perform both independent and team-based research and generate insights from large data sets with a hands-on/can do attitude of servicing/managing day to day data requests and analysis. This role offers a unique opportunity to get exposure to many problems and solutions associated with taking machine learning and analytics research to production. On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to level up in true end-to-end data science proficiency. • Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the development of statistical methods / machine learning algorithms., • Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities, • Data annotation and quality review, • Exploratory data analysis and model fail state analysis, • Methodology, results and insights reporting, including model Governance report drafting in collaboration with senior team members, • Client/prospect guidance in machine learning model and analytic fine-tuning/development processes, • Providing guidance to junior team members on model development and EDA, • Working with Product Manager(s) to intake project/product requirements and translate these to technical tasks within the team’s tooling, technique and procedures, • Continued self-led personal development, • Bachelor’s degree in Computer Science, Applied Math, Statistics, or a scientific field, • 3-5 years’ experience working with data & analytics, • Experience working with Python, SQL and noSQL databases, • Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse, • Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc…), • Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object-oriented programming), • Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc…), • Knowledge of NLP transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, HuggingFace, and GPT-x etc.), • Experience with natural language processing toolkits like NLTK, spaCy, • Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes, • Knowledge of Agentic Processing, • Familiarity with training and evaluating transformer-based models, • Understanding and Experience of NLP Techniques in traditional pipelines, metrics, process and evaluation for supervised and unsupervised learning., • Familiarity with Deep Learning techniques for NLP., • Familiarity with LLMs; using ollama & Langchain, • Excellent verbal and written skills, • Proven collaborator, thriving on teamwork, • Preferred Qualifications, • Master’s or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field, • Familiarity with cloud computing platforms (AWS, GCS, Azure), • Experience with automated supervision/surveillance/compliance tools $135,000 - $175,000 a yearThe above salary range represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting. Any applicable bonus programs will be discussed during the recruiting process. The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training. About our culture Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.

Job Description Summary: The Histotechnician performs a variety of routine and complex histological procedures to prepare tissue specimens for microscopic examination by a pathologist or scientist. This position requires a higher level of skill and independence, with responsibilities including advanced staining techniques, troubleshooting, and participation in quality control activities. (We are currently hiring only for the Evening Shift Per Diem) Responsibilities • Perform tissue grossing, embedding, and microtomy (FFPE and frozen/OCT sectioning), • Execute H&E and special stains according to established protocols, • Scan and digitize slides using whole slide imaging systems, • Troubleshoot histology workflows and perform routine equipment maintenance, • Perform quality control checks and maintain accurate documentation in the LIS Required Qualifications • 2+ years of histology experience, • Strong microtomy and staining proficiency, • Experience working with animal and/or human tissue types, • Ability to work in a fast-paced laboratory environment, • Flexibility to work weekends as needed based on lab workload Preferred Qualifications • New York State License and/or HT/HTL (ASCP) certification, • Experience with whole slide imaging / digital pathology platforms, • Experience in a research or CRO laboratory Benefits 24/7 Access to a Private Gym: Per diem Histotechs have access to a private gym at any time, supporting health and wellness outside of work hours. Cross-Training Opportunities: Gain experience across different areas of the lab, allowing you to expand your skill set and increase your versatility. Specialized Experience: Work with unique and complex orders, providing valuable exposure that helps build specialized technical expertise. Powered by JazzHR mGCtSRC6TN

Job Description We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. Responsibilities • Identify valuable data sources and automate collection processes, • Undertake to preprocess of structured and unstructured data, • Analyze large amounts of information to discover trends and patterns, • Build predictive models and machine-learning algorithms, • Combine models through ensemble modelling, • Present information using data visualization techniques, • Propose solutions and strategies to business challenges, • Collaborate with engineering and product development teams Requirements • Proven experience as a Data Scientist or Data Analyst, • Experience in data mining, • Understanding of machine-learning and operations research, • Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset, • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop), • Analytical mind and business acumen, • Strong math skills (e.g. statistics, algebra), • Problem-solving aptitude, • Excellent communication and presentation skills, • BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

Job DescriptionCompany Description At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Job Description About the Job The Nielsen Analytics practice advises the world’s largest and most influential advertisers, agencies, and media companies on how to make their businesses more successful. We are a team of consultants and thought leaders who bring Nielsen’s industry leading measurement products to life, providing actionable insights to help clients make better business decisions. The Commercial Lead is responsible for aggressively expanding Nielsen’s Analytics US revenue within the Digital vertical. You will own the full sales cycle—from identifying untapped opportunities to negotiating and closing complex technical deals with the world’s most influential tech companies. This individual will draw upon a deep understanding of industry and analytical capabilities to develop, pitch, and deliver a complete solution. We are looking for a rare hybrid: someone with the grit of a sales “hunter” and the brain of a data scientist. You don't just 'pitch' Nielsen; you develop and go to market with technical solutions that solve the industry's most complex measurement challenges. This person will collaborate with a group of cross-functional Nielsen leaders to ensure that Analytics solutions and sales strategies meet revenue, client and marketplace expectations. The ideal candidate will possess a demonstrated track record of delivering commercial success among large and sophisticated media & advertising clients. This person will have a solid understanding of Nielsen Audience Measurement products and the media & advertising ecosystem overall, including cross-channel media planning and measurement. Strong candidates will be highly analytical and show aptitude in consultative sales, client service, internal collaboration, and adapting within a dynamic, fast-paced environment. Job Responsibilities Deliver Commercial Success Own and consistently exceed an individual annual revenue quota for the Digital Publisher vertical Drive full-cycle business development—from prospecting to opportunity advancement to final contract negotiation and closing Have executive-level presence to hold your own with C-level clients both to represent existing Nielsen products and solution creatively and articulately on the fly, translating complex concepts into clear, revenue-driving client solutions Drive all forms of new business, including upsells, net new logos, and win-backs Strategically prospect and close new business by identifying client pain points and mapping them to Nielsen's advanced analytical capabilities Create, grow, and manage a robust sales pipeline within Salesforce software, with accurate revenue forecasting and delivery Lead Analytics Product Sales for Digital vertical Responsible for overall success, including commercial and strategic, for Nielsen’s US Analytics business among Digital clients, including the largest and most sophisticated tech companies in the world Develop and execute go-to-market strategy Collaborate with other Nielsen teams, including Account Management, Client Insights, Marketing, and Product Leadership to identify and execute new business opportunities Serve as Subject Matter Expert for all Nielsen Analytics solutions Qualifications Salesperson Extraordinaire: 5+ years of experience with a documented track record of exceeding sales quotas and closing six-figure-plus deals, ideally within media & advertising, consulting, SaaS, ad tech, measurement & research, or a related domain. Ad sales, media planning/buying, and prior agency or digital ad-seller experience a plus Analytical Mindset: Must be able to think and act creatively, analytically, and productively so as to create wholly new analytical solutions, sometimes in real time in high-stakes client meetings. Your brain will be the engine of Nielsen Analytics new product development and enhancement Bachelor’s Degree required. MBA or other Master's Degree a plus Commercial Fluency: Ability to link analytical methodologies directly to client ROI and business growth. Negotiation Skills: Experience negotiating and closing six-figure+ deals, including navigating client stakeholder, procurement, and legal processes Ecosystem Expertise: Deep understanding of the digital media & advertising landscape, including cross-channel advertising, social media, creators, programmatic, and “in the weeds” ad tech and identity (HEMs, cookie-deprecation, first-party data matches) Sales Mechanics: Proven ability to develop long-term client relationships and manage long-cycle, consultative sales engagements, rather than transactional sales of well-defined products. This person is not “pitching widgets”, they’re building and commercializing complex, next-gen solutions for the most important media companies in the world #LI-JM1 Additional Information This is a high-growth, quota-carrying role with a competitive commission structure designed for over-performers. Works from Nielsen New York (Manhattan) office at least 3 days per week Requires limited client and internal travel (up to 20%) Enabling your best to power a better media future. Holistic Rewards: We are committed to an inclusive benefits package that supports our employees and their families. This includes comprehensive health and wellness plans, a 401(k) with a Nielsen company match, and a generous paid time off policy. Depending on the role, additional benefits may include a company-provided vehicle and/or discretionary incentive/bonus eligibility. Compensation Transparency: The posted base salary range is a reasonable estimate that may be adjusted based on the final work location of the selected employee. Individual pay within the range is determined by factors such as experience, training, geography, certifications, and business needs. Beyond base salary, this role may be eligible for bonuses, equity, or other incentives. Nielsen makes hiring decisions without regard to disability status, protected veteran status, or membership in any other protected class. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Biology & Biophysics Researchers (Part-time) Type: Contract Compensation: $125–$225/hour Location: Remote Commitment: 8–20 hours/week Role Responsibilities • Author and review challenging biology and biophysics problems to train and evaluate frontier AI models., • Evaluate model outputs on tasks such as mechanism prediction, experimental design, and literature interpretation., • Identify areas where current models fail, especially mistakes a working PhD would catch., • Collaborate with a small program team and other senior contributors. Qualifications Must-Have • First-author or co-first-author publications in journals like Nature, Science, Cell, PNAS, eLife, NEJM, Nature Methods, Nature Medicine, Nature Biotechnology, Nature Communications, or top specialty journals., • Doctoral or postdoctoral training at a top-20 global institution for life sciences or STEM., • Competitive fellowships such as HHMI, NIH F31/F32/K99, NSF GRFP/PRFB, Damon Runyon, Helen Hay Whitney, Jane Coffin Childs, Searle, Pew, Sloan, Packard, Simons, Fulbright, or equivalent., • Issued patents, spin-out companies, or grants where the contributor was a named PI or co-PI., • Currently or recently in an active research role: PhD candidate, postdoc, instructor, faculty, principal scientist, or industry researcher. Compensation & Legal • W-2 employment with Cincinnatus LLC; payroll, benefits, and compliance handled by Cincinnatus., • No fixed end date; contributors continue as long as the program needs their expertise. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Cresilon® is a Brooklyn-based biotechnology company that develops, manufactures, and markets hemostatic medical devices utilizing the company’s proprietary hydrogel technology. The company’s plant-based technology has revolutionized the current standard by stopping traumatic and surgical bleeds in seconds without the need for extended manual pressure. The company's current and future product lines target veterinary, human trauma, and human surgical applications. Cresilon's mission is to save lives. Learn more about the company at www.cresilon.com. The Preclinical Principal Scientist will serve as a key scientific contributor, subject matter expert (SME), and Project Manager in the execution of Cresilon’s Preclinical Research Operations, including but not limited to in-vivo study design (Safety and Efficacy/Functionality evaluations), Preclinical Research Management, Vendor Management, and Preclinical Regulatory Strategy. This will include the development and execution of strategies for preclinical evidence necessary to competitively position a project’s product for domestic and international regulatory and clinical acceptance. This position is a hybrid role, with work off-site at CRO in the NY area, work from home, and on-site at Brooklyn NY. Job Responsibilities: The Preclinical Research Scientist will: • Lead, staff, and manage Cresilon’s Preclinical Research activities., • Provide preclinical scientific input and leadership on the evaluation of physical safety and efficacy for technologies and products at all stages of the product life-cycle., • Plan, direct, coordinate, and execute activities related to the design, initiation. and follow-up of studies to support approval of Class I-III medical devices., • Develop, write, and/or review study protocols and reports. Act as a technical mentor for the development of study experimental designs, protocols, and reports of junior associates., • Administrater and manage Cresilon's preclinical regulatory strategy and communication., • Work with Contract Research Organizations (CROs) to execute both Biocompatibility / Safety and Efficacy/Functionality research, including negotiating, drafting, and managing research contracts and agreements with pre-clinical trial sites., • Ensure that the company operates within the scope of regulatory compliance, including Quality System Regulations (ISO 13485), health and safety, environmental protection regulations, and the core values of Cresilon., • Be a Subject Matter Expert (SME) for the preclinical research department growth strategy. Actively interact with the internal and external scientific community to maintain state-of-the-art knowledge., • Oversee the development of and modifications to preclinical models to address project needs., • Oversee the design and execution of preclinical functionality and safety in-vivo studies per project timelines., • Surveys the literature to identify and compare competitive product performance and safety risks., • Maintain current knowledge in existing regulations, requirements and standards, including but not limited to global regulatory requirements (ISO, FDA, etc) and compliance requirements (GLP, USDA, AAALAC, departmental SOP's, company policies, etc), • Work cross-functionally with Regulatory and Quality to assess project risks, product safety, and efficacy on NPD projects, including ensuring external facilities meet Cresilon standards for animal use and generating contracts and CRO audits, if necessary., • Manage budgetary requirements for all research projects to support efficacy and safety programs., • Lead the effort to publish surgical research in peer-reviewed journals., • Regularly interface with management to ensure research operations reflect overall corporate vision/strategy., • Work with the VP of Technology and the Director of R&D to ensure long-term vision and goals are met to reflect the company’s charter.nd Requirements • DVM, PhD or MD in a relevant discipline is preferred. A Bachelor's in a technical or scientific field is required., • Minimum 6+ years’ experience in preclinical medical device research is required, preference given to veterinary surgical or human surgical experience., • 4+ years of people management experience preferred., • Extensive knowledge of surgery, anatomy, toxicology, and pathology is required. Hands-on surgical experience is require., • Experience with planning, directing, and coordinating activities related to studies to support approval of Class I-III medical devices is highly preferred., • Experience in a medical device, pharmaceutical, or related setting with a proven record of success in supporting studies for R&D projects is highly preferred., • Strong knowledge of ISO-10993 Standards, FDA Guidance and Regulations, and Animal Welfare Regulations., • Experience with surgical publication submission strategy is strongly preferred., • Strong communication skills (both written and verbal) is required with the ability to extract key facts from complex information and present concise summaries to management., • Demonstrated experience with large animal in vivo surgical research and CRO vendor management is required., • Previous experience in authoring and reviewing nonclinical regulatory documents as well as interactions with regulatory authorities is strongly preferred., • Excellent problem solving, conflict resolution, and analytical skills is required., • Ability to work effectively both independently and collaboratively in a dynamic team-oriented environment is required., • Prior experience and ability to work well with external CROs and collaborators with professionalism and discretion is required., • Requires strong leadership and organizational skills including attention to detail and multi-tasking skills., • Able to understand and execute to project details but keep overall “big picture” view of projects, priorities, and strategies is required., • Medical Device product development experience, including knowledge of medical device regulations, regulatory/notified body requirements is preferred., • Good Laboratory Practices (GLP) experience preferred and working knowledge of Good Manufacturing Practices (GMP), • Experience in developing and commercializing regulated devices under Design Control (21 CFR 820) requirements, GLP/GMP, and ISO regulations is preferred., • Hands-on research experience with hemostatic devices and/or coagulation chemistry, strongly preferred., • Legal authorization to work in the United States., • This position is located in Brooklyn, NY and may require up to 30% travel (to monitor and execute out-sourced studies) Cresilon is an equal-opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Cresilon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Benefits • Competitive annual base salary range of $130,000 - $210,000, depending upon job level and qualifications., • Paid Vacation, Sick, & Holidays, • Medical, Dental, and Vision Insurance, FSA: Dependent & Healthcare, Commuter & Parking Benefits, Long Term Disability Coverage, • Company Paid Life and Short-Term Disability Coverage, • Work/Life Employee Assistance Program, • Monthly MetroCard Reimbursement, • 401(k) & Roth Retirement Savings Plan with company match up to 5%

Job DescriptionOur mission: eliminating every barrier to mental health. Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We're building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage. Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners. As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission. Spring Health is seeking a Senior Actuarial Scientist to join our Customer Value team. Reporting to the Associate Director of Actuarial Analytics, you will own the development of ROI models that quantify cost savings and downstream impact for our employer and payer populations. Please note that this is a hybrid role based in New York City, with an expectation to be in the office 2–3 days per week at our 60 Madison Avenue location. Candidates must be based in the NYC metro area or able to relocate independently within 90 days of their start date. Occasional travel will be required for team on-sites. What you'll do • Build and maintain actuarial ROI models to quantify cost savings, utilization changes, and downstream impact across employer and payer populations, • Present ROI findings directly to prospects and clients, distilling complex technical concepts into compelling, executive-ready storytelling, • Develop strong partnerships with revenue, product, finance, and data science teams to align on core assumptions, • Support emerging product evaluations by refining methodologies and validating financial assumptions, • Contribute actuarial expertise to product prototyping and development to help shape scalable financial frameworks, • Build custom savings and cost models using Excel and other spreadsheet applications, • Query databases using SQL to extract and analyze data to inform model assumptions, • Communicate the impact of custom configurations on price and margin to internal stakeholders, • Leverage AI tools to enhance the speed and quality of results delivered to our customers, • Collaborate cross-functionally to ensure actuarial rigor is applied to all external-facing financial metrics What success looks like in this role • Develop a deep understanding of how Spring Health delivers value to customers, specifically through health plan integration, • Clearly communicate analytical concepts and financial results to both technical and non-technical audiences, including customers and internal leadership, • Successfully partner with cross-functional teams to launch ROI measurement frameworks for new products, • Stay current on ROI methodologies and macroeconomic trends impacting medical insurance to ensure our models remain industry-leading What you'll bring • Associate or Fellow of the Society of Actuaries (ASA or FSA) designation, • 5+ years of experience in financial or actuarial analysis, • Hands-on experience working with medical claims data, including ICD-10 and CPT codes, • Advanced proficiency in Excel and experience writing SQL queries to retrieve data, • Ability to work independently and align priorities with cross-functional stakeholders, • A focus on progress over perfection, with the ability to remain poised in a fast-paced environment, • Experience working on small, agile teams or within a startup environment (preferred), • Experience in external-facing roles or client presentations (preferred), • Experience in vendor evaluation or benefits consulting (preferred), • Prior exposure to statistical inference methods or experience working with R (preferred) The target base salary range for this position is $159,000 - $196,480, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay. Benefits provided by Spring Health: Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria. • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type., • Employer sponsored 401(k) match of up to 2% for retirement planning, • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents., • We offer competitive paid time off policies including vacation, sick leave and company holidays., • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents., • Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals., • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses., • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription, • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care, • Up to $1,000 Professional Development Reimbursement a year., • $200 per year donation matching to support your favorite causes. Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply. Our privacy policy: https://springhealth.com/privacy-policy/ Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

Job Description Does getting in on the ground floor as an initial stakeholder, building out your own team, and building a solution that has never been built before, get you excited? Do you want to be the person, when people are talking about some awesome innovation in awe, to be able to proudly say you were instrumental in building it? If so then this could be an exciting opportunity for you. My client partners with companies ranging from fortune 500 to start-ups across all industries to solve their most complicated problems. The main one, most are wrestling with is how to use data and research for their decisions. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI/Machine learning world to build a product that doesn’t exist at this moment. It is tremendously ambitious goal, and they need a special team to do it. They are constructing its own floor, in their current space, and it is just at the start of this exciting journey. They are building a tool that can automate and replace the hundreds of thousands to million dollars that companies are spending in data science. This tool will greatly cut down on in some cases eliminate the need for companies to pour over data researching to find trends, it will do it for them, basically personalization for B2B. They are looking for a Senior Data Scientist to come on board and lead this ambitious initiative. If applying data mining techniques, doing statistical analysis, and building high quality prediction systems sounds like fun to you, keep reading. You will do things like , use machine learning techniques, build recommendation systems, and develop internal A/B testing procedures, and automation creation reporting. RESPONSIBILITIES · Selecting features, building and optimizing classifiers using machine learning techniques · Data mining using state-of-the-art methods · Enhancing data collection procedures to include information that is relevant for building analytic systems · Processing, cleansing, and verifying the integrity of data used for analysis · Doing ad-hoc analysis and presenting results in a clear manner · Creating automated anomaly detection systems and constant tracking of its performance · Utilize database technologies, including SQL, ETL, EMR, and Redshift to shape data and statistical modeling packages like R and python to build customer models. · Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. · Research and implement novel machine learning and statistical approaches QUALIFICATIONS · Excellent understanding of machine learning techniques and algorithms · Experience with common data science toolkits and data visualization tools · Proficiency in using query languages such as SQL, Hive, Pig etc. · Good applied statistics skills, such as distributions, statistical testing, regression, etc. · Good scripting and programming skills such as Python · Bachelor’s degree in computer science, Engineering, Mathematics, Statistics or related fields, or equivalent practical experience. Masters is preferred · Relevant working experience in an analytical role involving data extraction, analysis, model building, deployment and communication of insights · Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools. It is a truly unique work environment, where they are allowing the right candidate to be part of the creative, as well as the execution of the idea. The company empowers their employees, by choosing the right people, letting them use their unique skills, and giving them every resource, and power to make decisions. Truly a great opportunity to get in at ground floor and make a huge impact on tremendous team! Salary based on experience

Job Description Our client is seeking a Research Operations Specialist to join their Research, Administration, Operations and Project Management team in New York City. As part of the Research, Administration, Operations and Project Management team, the Research Operations Specialist will report to Director, Operations and Project Management. You will support the operational coordination of research and implementation efforts led by the Office of the Chief Scientist as well as support coordination across internal and external teams, contribute to managing complex calendars, coordinating high-impact meetings and project timelines, and ensuring seamless communication across all internal and external teams that interact with the Office of the Chief Scientist. This role requires scientific literacy to draft technical communications, professional judgment and the ability to support executive priorities and special projects with limited oversight. This is a non-exempt, full-time, hybrid position located in our NYC headquarters office. This position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor. The in-office requirement and schedule are subject to change based on the needs of the program and the organization. Our client is dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. They have become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Responsibilities: • Plan and support internal and external meetings, retreats and conferences, including preparing agendas, technical talking points, taking minutes, coordinating logistics (travel, A/V, space reservations etc.), and tracking executive follow-up actions., • Act as a point of contact for collaborators, vendors, and institutional partners in a professional and timely manner., • Partner with Marketing and Communications to draft research press releases (e.g., Eureka Alerts) and other high-level external communications., • Collaborate with the Development team to create and maintain major giving materials and help track partnership deadlines., • Manage complex scheduling and strategic calendar coordination for the Chief Science Officer and associated research teams., • Support documentation and organization of SOPs, contact lists, templates, and shared resources for the Office of the Chief Scientist., • Support coordination of cross-functional projects by tracking deliverables, deadlines, and dependencies across the research portfolio., • Contribute to process improvements and operational execution to help support project completion in alignment with organizational policies and procedures., • Provide coordination support for special projects and operational initiatives., • Other duties as assigned. Qualifications: • Bachelor's degree and 5+ years of relevant professional experience required, or Master's degree and 3+ years of relevant professional experience., • Degree in a scientific, research, healthcare, or related field. Special Considerations: The anticipated salary range for this position is $65,000 - $85,000 USD annually. Our client's competitive compensation and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. Our client is an equal opportunity employer and does not discriminate in employment based on race, religion (including religious dress and grooming practices), color, sex/gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sex stereotype, gender identity/gender expression/transgender (including whether or not you are transitioning or have transitioned) and sexual orientation; national origin (including language use restrictions and possession of a driver's license issued to persons unable to prove their presence in the United States is authorized under federal law [Vehicle Code section 12801.9]); ancestry, physical or mental disability, medical condition, genetic information/characteristics, marital status/registered domestic partner status, age (40 and over), sexual orientation, military or veteran status, or any other basis protected by federal, state or local law or ordinance or regulation.

Job Description 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 - 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 care and insurance business. 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 drive data science projects across multiple teams and domains. In this role, you'll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions. This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight. You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process. Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe 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: • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions, • Own projects end-to-end, including problem definition, implementation, validation, and iteration, • Deliver high-quality analytical and modeling outputs with limited manager oversight, • Collaborate closely with data science peers and cross-functional partners across business units, • Help ensure data science processes and outputs align with broader team strategies and roadmaps, • Provide guidance or informal mentorship to junior data scientists or analysts when needed, • Contribute to improving data science practices, tooling, and documentation Requirements: • 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both), • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data, • 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points: • Master's degree in a quantitative or technical field, • Knowledge of or previous work experience in health care or health insurance, • Experience mentoring or supporting junior team members, • Experience deploying or supporting models in production environments 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.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.Job Summary CoreWeave is seeking a Sr. Data Scientist to architect and scale the data infrastructure that serves as the backbone of our Integrated Planning and Capacity teams. As an AI hyperscaler, our ability to manage GPU, CPU, and storage assets in real-time is the difference between leading the market and falling behind. Currently, our systems are in a nascent, "bare minimum" stage. You will be responsible for leading the transition to a centralized, production-grade database system. This is a heavy data engineering and software engineering-focused role where you will build the pipelines and transformations necessary to unify disparate metrics—ranging from power utilization and node health to customer capacity allocation data—into a single, accurate source of truth. Your work will directly enable the dashboards used by operational planners and executives, and provide the high-fidelity data required to develop autonomous, data-based agents for quantitative decision-making. Key Responsibilities • Architect Scalable Pipelines: Design, build, and maintain robust end-to-end data pipelines and transformations that aggregate data from across the organization, including data center operations, power metrics, node provisioning, and finance., • Enable Advanced Analytics: Build and optimize the data structures that power real-time and near-real-time dashboards for operational capacity and demand managers., • Support AI Agent Development: Ensure that data pipelines are architected to support the ongoing development of quantitative AI agents designed to synthesize complex data and inform high-stakes infrastructure decisions., • Cross-Functional Synthesis: Partner with Data Center Operations, Supply Chain, Product, and Finance to ensure technical pipelines accurately reflect the physical realities of data center bring-up and node health., • System Robustness: Implement rigorous testing, monitoring, and quality-control frameworks to ensure the accuracy of metrics like power utilization, storage consumption, and quality fall-out.Qualifications & Skills Required: • Education: Master's or PhD in Computer Science, Computer Engineering, Operations Research, or a related quantitative field., • Experience: 6+ years of professional experience in data engineering or data science, with a heavy emphasis on building production-grade planning systems (ERP, MRP, or similar operations tools)., • Software Engineering Expertise: Expert-level proficiency in Python and SQL is mandatory. Experience with modern data stack tools (e.g., dbt, Airflow, Snowflake/BigQuery) and software development best practices (version control, CI/CD)., • Systems Thinking: Proven track record of taking "weak" or unstructured data environments and scaling them into robust, automated architectures., • Attention to Detail: A fanatical focus on data accuracy and the ability to audit complex transformations for logical consistency. Desired: • Domain Knowledge: Familiarity with AI infrastructure, specifically GPU/CPU utilization metrics and data center operational constraints., • Background: Prior experience in high-complexity environments such as cloud infrastructure, semiconductor manufacturing, or advanced logistics., • Decision Science: Experience applying optimization techniques or Operations Research to supply-demand imbalances. The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Chemistry Researchers (Part-time) Type: Contract Compensation: $125–$225/hour Location: Remote Commitment: 8–20 hours/week Role Responsibilities • Author and review challenging chemistry problems to train and evaluate frontier AI models., • Evaluate model outputs on tasks like retrosynthesis, mechanism prediction, and spectral interpretation., • Identify areas where current models fail, focusing on mistakes a working PhD chemist would catch., • Collaborate with a small program team and other senior contributors., • Work independently and asynchronously to meet deadlines while improving model performance. Qualifications Must-Have • First-author or co-first-author publications in top journals like JACS, Nature Chemistry, or Science., • Doctoral or postdoctoral training at a top-20 global institution for chemistry or STEM., • Competitive fellowships such as NSF GRFP, Hertz, or Sloan Research Fellow., • Issued patents, spin-out companies, or grants as a named PI or co-PI., • International Chemistry Olympiad (IChO) Gold/Silver/Bronze medalist., • Active research role: PhD candidate, postdoc, instructor, faculty, principal scientist, or industry researcher. Engagement • Part-time: 8 to 20 hours per week., • W-2 employment with Cincinnatus LLC; payroll, benefits, and compliance handled by Cincinnatus., • Compensation reflects research seniority and credentials., • No fixed end date; contributors continue as long as the program needs their expertise. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job DescriptionWho we are Findigs is on a mission to make renting work for all of us. Renting is one of life’s most critical experiences, yet the process is often slow, opaque, and unfair. We’re changing that by building the first end-to-end platform that turns complex screening into a seamless, high-trust experience for both property managers and renters. We’re growing fast – fueled by $78M in funding from the investors behind companies like Affirm, Gusto, and Uber. With a data-backed product that allows our customers to make smarter, more predictable decisions, and a team dedicated to transparency and precision, we’re not just improving the rental process; we’re setting the new standard for the entire industry. We’re aiming to double our impact this year, and we need builders, thinkers, and problem-solvers to help us scale. If you’re ready to modernize one of the most essential industries, we’d love for you to be a part of it. The Role Findigs runs an AI underwriting engine (DecisionAssist) that makes or influences thousands of rental decisions every week. As Data Scientist at Findigs, you will strengthen our data science and applied machine learning depth: owning hands-on model development, experimentation design, and ML-adjacent analysis that directly impacts renter and property manager outcomes. Reporting to the Lead Analytics Engineer, this is a highly technical, high-ownership role for a data scientist who wants to build and improve production models, bring statistical rigor to product decisions, and grow into broader strategic scope as the team evolves. You will partner closely with Product and Engineering to translate real-world rental risk and behavior into models, experiments, and clear insights. Please note, we are unable to sponsor or take over sponsorship of an employment visa at this time. Where you will make an impact: • DecisionAssist model development: Own feature engineering, model iteration, and evaluation for DecisionAssist. You will work across two surfaces: (1) operational model work in the DA/CAV1 serving layer, and (2) analytics-focused modeling in Snowflake for experimentation and research, as well as partner with Product and Engineering on what signals matter and why., • Experimentation and A/B testing: Design and analyze experiments across underwriting, renter-facing, and PMC-facing product changes, and bring statistical rigor and clear recommendations., • Predictive and risk modeling: Build and maintain models used in screening logic (e.g., delinquency risk, income estimation, fraud signals)., • ML infrastructure: While you won’t own the warehouse or pipeline architecture, you should be comfortable writing clean Python, working in dbt, and operating in a modern data stack., • Research and analysis: Tackle high-impact, ad-hoc questions from Product and Customer teams; e.g., what’s driving approval-rate variance, which cohorts behave differently, and what a given signal actually predicts.We’d love to hear from you if you have:, • 4+ years of hands-on data science or applied ML experience (fintech, proptech, or other high-stakes decisioning environments preferred), • Strong Python skills (pandas, scikit-learn, statsmodels or equivalent); this is a coding role, • Ability to design, run, and interpret A/B tests independently, • Strong SQL skills and comfort working in a modern data stack (dbt, Snowflake, Sigma, or similar), • Solid grounding in supervised learning fundamentals (classification, regression, tree-based methods), • Strong written communication and the ability to explain model behavior and tradeoffs to non-technical partners (e.g., PMs, CSMs), • Intellectual curiosity about housing and credit data in particularNice-to-haves:, • Experience building or contributing to a credit, risk, or underwriting model in production, • Familiarity with fair lending / disparate impact considerations in ML (important given the real-world consequences of renter screening), • Experience working on systems where model output directly affects real people, with a strong sense of responsibility and rigor, • Ability to move between exploratory research and production-grade work without needing separate tracks, • LLM experience (fine-tuning, retrieval, or integration), especially as we automate parts of underwriting and screening workflows, • Startup / scale-up experienceWhat we offer:, • Location: We operate on a hybrid schedule (3-4x times in-office per week), with core collaboration days on Monday, Tuesday, and Thursday at our NoHo office., • Mission-Driven Culture: A collaborative, high-impact workplace where we challenge each other to grow, innovate, and drive meaningful change., • Competitive Compensation: Competitive base salary + Pre-IPO equity., • Generous Time Off: We trust our team to manage their own time and workload. That's why we offer a Unlimited Paid Time Off (PTO) policy, allowing you to take the time you need to rest and recharge. We also observe all-company holidays., • Wellness Perks: Health benefits, 401(k) matching up to 4%, monthly gym stipend, and lunch provided every day.Compensation disclosure as required by NYC Pay Transparency Law.Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, and the scope of responsibilities in the role. In addition to cash compensation, all full time employees receive an equity compensation package.Interviewing with Us We're committed to making our interview process as effective and candidate-friendly as possible. We use a tool called Brighthire.ai to record our interviews so that our interviewers can focus entirely on the conversation and not get distracted by taking notes. Please note, if you move forward with the interview process, you'll always have the option to opt out of the recording. We are an equal opportunity employer and, as such, all applicants will be considered based solely upon merit and directly relevant professional competencies. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionPrincipal Applied Scientist, Small Language Models. Full-time New York City, NY, US Exclusive confidential search — details shared with qualified applicants. Benefits You'll Love • Top-tier medical, dental, and vision coverage, • 401(k)Become a Key Player as a Principal Applied Scientist, Small Language Models You will own the small, purpose-built language model that enforces compliance in real time, ensuring messages are safe before they are sent. In this hands-on senior individual contributor role you will drive model design, evaluation, and production performance, working directly with the founder and cross-functional stakeholders. Hybrid (3 days onsite in New York City). Here's How You'll Make an Impact on the Team • Own the compliance detection and rewrite model end-to-end: data, architecture, training, evaluation, and production, • Build the evaluation harness and labeled-data flywheel to prove model quality, • Optimize and balance accuracy, cost, and latency for production use, • Define and execute the path from frontier models to a smaller specialized model that matches or beats accuracy at lower cost and latency, • Build infrastructure for per-customer adaptation, including adapters and per-tenant tuning, • Translate plain-language policy into enforceable model behavior and document reasoning for model decisions, • Run focused error analysis on critical cases (missed violations and false positives)Here's What You'll Need to Be Successful in This Role, • 8+ years in applied ML or AI with models shipped and maintained in production, • Hands-on expertise in modern NLP and LLM techniques, including fine-tuning, distillation, and rigorous evaluation, • Strong judgment as a senior individual contributor who sets technical direction, • Deep instincts for model design tradeoffs (when to fine-tune vs. prompt, when to distill, when smaller models suffice), • Bias for shipping and measuring everything you deployHere's What Else Might Help You Out, • Experience transitioning systems from large general models to smaller specialized models for cost and latency, • Background in compliance, regtech, or other regulated domains, • Experience adapting one model to many customers (adapters, per-tenant tuning), • Public research, open source contributions, or technical writingPay Range $200,000 - $250,000/year Ready to Make Your Mark? This role may fill quickly. Submit your resume to be considered. Apply with Pioneers here

Job Description About Synaptrix Labs Inc. Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand human potential, will become a reality with the right fusion of deep learning, signal processing, and computational neuroscience. We're seeking a full time Research Scientist, Artificial Intelligence (PhD) to join our growing team of researchers & engineers. If you're passionate about shaping the future of brain-computer interfaces and excited by the potential of deep learning in neurotechnology, we want to hear from you! Responsibilities: • Design, prototype, and optimize state-of-the-art AI systems for neural decoding, including diffusion models, graph neural networks, contrastive/self-supervised frameworks, and transformer-based sequence models., • Conduct foundational research on neural time-series representation learning: build architectures that extract latent dynamics from EEG, EMG, or related biosignals., • Develop high-fidelity simulation environments for testing decoding algorithms, incorporating stochastic signal noise and realistic biophysical constraints., • Scale model training across multi-GPU and multi-node clusters using PyTorch Distributed, DeepSpeed, or JAX/Flax; profile and tune system performance for sub-10 ms inference latency., • Build and maintain end-to-end research pipelines for large-scale signal datasets, including preprocessing, artifact rejection, and multimodal fusion with video, audio, and IMU data., • Collaborate with neuroscientists and hardware engineers to integrate learned models into real-time BCI control loops and embedded systems., • Contribute to core ML infrastructure: experiment tracking, model versioning, dataset lineage, and reproducibility standards., • Publish at top-tier ML or neurotech venues (NeurIPS, ICLR, Nature Neuro, EMBC) and present findings to the research community. Minimum Qualifications: • PhD or equivalent deep technical expertise in Machine Learning, Artificial Intelligence, Computer Science, Computational Neuroscience, or related fields., • Strong command of PyTorch or JAX, with experience implementing custom training loops, loss functions, and model architectures., • Proven ability to conduct end-to-end research, from conceptual design to reproducible experiments and evaluation., • Strong mathematical foundations in linear algebra, probability, optimization, and information theory., • Experience working with high-dimensional time-series or sensory data (EEG, speech, video, motion capture, etc.)., • Skilled in Python, NumPy, Pandas, and scientific computing workflows; experience with CUDA or low-level GPU debugging is highly valued., • Demonstrated ability to operate independently on open-ended problems and drive original research with limited supervision. Preferred Qualifications: • Deep familiarity with neural signal modeling, neural decoding, or biosignal preprocessing (EEG/MEG/ECoG/EMG)., • Experience designing self-supervised or generative models (diffusion, VAEs, contrastive, masked modeling) for noisy, non-stationary data., • Background in reinforcement learning, optimal control, or human-in-the-loop systems, especially in continuous domains., • Publications or preprints in top venues (NeurIPS, ICML, ICLR, CVPR, EMBC, Nature Neuro)., • Familiarity with distributed training, mixed-precision, multi-GPU orchestration, and cloud ML infrastructure (AWS/GCP/Azure)., • Contributions to open-source ML frameworks or custom CUDA kernels., • Understanding of neural signal acquisition hardware, embedded inference, or edge ML deployment., • Track record of curiosity-driven, independent research resulting in practical systems or open-source codebases. About our Culture: At Synaptrix Labs, we celebrate curiosity, open collaboration, and scientific rigor. Our interdisciplinary team spans neuroscience, AI, and clinical research, and we are united by the belief that non-invasive BCI is the key to unlocking a new era in healthcare, accessibility, and human augmentation. Expected Compensation: The base salary for this role is anticipated to fall within the following range. Actual compensation will depend on your experience, technical expertise, and relevant education or training. In addition to base pay, Synaptrix offers equity to all full-time employees, reflecting our commitment to shared success and long-term company growth. Base Salary Range: $85,000 - $150,000 USD What We Offer: • An opportunity to change the world and work with some of the smartest and most talented experts from different fields, • Growth potential; we rapidly advance team members who have an outsized impact, • Paid holidays, unlimited PTO

Job DescriptionPrincipal Applied Scientist Full-time New York City, NY, US Exclusive confidential search — details shared with qualified applicants. Benefits You'll Love • Top-tier medical, dental, and vision coverage, • 401(k)Become a Key Player as a Principal Applied Scientist You will own the deterministic enforcement layer that guarantees compliance before AI messages are sent, driving accuracy, cost, and latency tradeoffs. You will work as the senior individual contributor on this layer, collaborating directly with the founder and backend engineers to define technical direction. Hybrid (3 days onsite) in the New York City area. Here's How You'll Make an Impact on the Team • Own the deterministic detection and enforcement layer end to end: rule system, retrieval, matching logic, and production runtime, • Build the evaluation harness and labeled-data flywheel to demonstrate and improve accuracy, • Measure and optimize precision, recall, cost, and latency, and balance tradeoffs between them, • Define architecture direction for the deterministic layer alongside model and retrieval components, • Translate plain-language policy and regulation into deterministic rules and own the reasoning behind each decision, • Adapt rules to customer-specific policies, including per-tenant configuration, • Run tight error analysis on missed violations and false alarms to improve trust and performanceHere's What You'll Need to Be Successful in This Role, • 8+ years in applied ML, NLP, or high-accuracy detection systems with shipped production work, • Hands-on experience in information retrieval, entity recognition, pattern and rule design, and rigorous evaluation, • Proven judgment as a senior individual contributor who sets technical direction, • Strong instincts for when deterministic rules outperform models and how to push precision and recall, • Bias for shipping and for measuring outcomes of what you shipHere's What Else Might Help You Out, • Experience in compliance, regtech, or other regulated domains, • Building high-precision/high-recall detection or classification systems (fraud, security, content moderation, etc.), • Experience adapting a rule system to many customers (per-tenant policy/configuration), • Experience combining deterministic and model-based components in production, • Public research, open source contributions, or technical writingPay Range $200-$250K/year Ready to Make Your Mark? This role may fill quickly. Submit your resume to be considered. Apply with Pioneers here

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Chemistry Researchers (Part-time) Type: Contract Compensation: $125–$225/hour Location: Remote Commitment: 8–20 hours/week Role Responsibilities • Author and review challenging chemistry problems to train and evaluate frontier AI models., • Evaluate model outputs on tasks like retrosynthesis, mechanism prediction, and spectral interpretation., • Identify areas where current models fail, focusing on mistakes a working PhD chemist would catch., • Collaborate with a small program team and other senior contributors., • Work independently and asynchronously to meet deadlines while improving model performance. Qualifications Must-Have • First-author or co-first-author publications in top journals like JACS, Nature Chemistry, or Science., • Doctoral or postdoctoral training at a top-20 global institution for chemistry or STEM., • Competitive fellowships such as NSF GRFP, Hertz, or Sloan Research Fellow., • Issued patents, spin-out companies, or grants as a named PI or co-PI., • International Chemistry Olympiad (IChO) Gold/Silver/Bronze medalist., • Active research role: PhD candidate, postdoc, instructor, faculty, principal scientist, or industry researcher. Engagement • Part-time: 8 to 20 hours per week., • W-2 employment with Cincinnatus LLC; payroll, benefits, and compliance handled by Cincinnatus., • Compensation reflects research seniority and credentials., • No fixed end date; contributors continue as long as the program needs their expertise. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Physics - Research Collaborator Type: Contract Compensation: $70–$100/hour Location: Remote Role Responsibilities • Design challenging, real-world physics problems in areas like classical mechanics, electromagnetism, and quantum mechanics., • Prepare components including detailed problem statements, golden solutions, and evaluation criteria., • Evaluate the model's performance on tasks to identify reasoning and derivation failures., • Analyze model trajectories to extract core capability loss patterns., • Work independently and asynchronously to meet deadlines while improving model performance. Qualifications Must-Have • Currently enrolled in or recently completed a PhD program in Physics or a related field., • Deep expertise in physics subfields with strong mathematical and analytical skills., • Ability to write clear, rigorous, and well-structured physics problems and solutions., • Strong verbal and written communication skills., • Ability to engage reliably for 8+ hours/week. Compensation & Legal • W-2 employment through Cincinnatus LLC., • Payroll, benefits, and compliance provided by Cincinnatus LLC. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Biology Research Scientist (BA, MS, PhD's) Type: Contract Compensation: $50–$70/hour Location: Remote Duration: 1–2 month minimum, extension likely Commitment: 10–20 hours/week Role Responsibilities • Access primary sources such as papers and patents to verify protein target assignments against UniProt records., • Flag and classify target assignment errors using a structured taxonomy to ensure data accuracy., • Propose correct UniProt accessions where assignments are incorrect to enhance database reliability., • Write concise, evidence-grounded notes explaining your reasoning to support AI drug discovery pipelines., • Work independently and asynchronously to meet deadlines and improve data integrity. Qualifications Must-Have • BA/BS with 5+ years, MS with 2+ years, or PhD with industry or drug discovery research experience in pharmacology, biochemistry, molecular biology, or chemical biology., • Hands-on binding or functional assay experience (SPR, TR-FRET, radioligand binding, kinase assays, GPCR functional assays, IC50/Ki/KD)., • Currently bench-active in a research, scientist, or associate scientist role., • Working fluency with UniProt or adjacent workflows: SAR support, HTS, target validation, biochemical profiling, or IND-enabling studies. Preferred • Direct experience with ChEMBL, BindingDB, or PubChem., • Selectivity profiling or counterscreening experience., • Familiarity with agonist/antagonist vs. activator/inhibitor distinctions. Start Date • Immediate start Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Biology Research Scientist (BA, MS, PhD's) Type: Contract Compensation: $50–$70/hour Location: Remote Duration: 1–2 month minimum, extension likely Commitment: 10–20 hours/week Role Responsibilities • Access primary sources such as papers and patents to verify protein target assignments against UniProt records., • Flag and classify target assignment errors using a structured taxonomy to ensure data accuracy., • Propose correct UniProt accessions where assignments are incorrect to enhance database reliability., • Write concise, evidence-grounded notes explaining your reasoning to support AI drug discovery pipelines., • Work independently and asynchronously to meet deadlines and improve data integrity. Qualifications Must-Have • BA/BS with 5+ years, MS with 2+ years, or PhD with industry or drug discovery research experience in pharmacology, biochemistry, molecular biology, or chemical biology., • Hands-on binding or functional assay experience (SPR, TR-FRET, radioligand binding, kinase assays, GPCR functional assays, IC50/Ki/KD)., • Currently bench-active in a research, scientist, or associate scientist role., • Working fluency with UniProt or adjacent workflows: SAR support, HTS, target validation, biochemical profiling, or IND-enabling studies. Preferred • Direct experience with ChEMBL, BindingDB, or PubChem., • Selectivity profiling or counterscreening experience., • Familiarity with agonist/antagonist vs. activator/inhibitor distinctions. Start Date • Immediate start Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.What You'll Do: The capacity planning and forecasting function at CoreWeave helps translate demand signals into infrastructure decisions across GPU, CPU, and Storage assets. The team combines forecasting, utilization analysis, and production-grade data pipelines to support planning across near-, mid-, and long-term horizons. This work partners closely with Capacity, Sales, Product, and Finance to improve planning quality and operational readiness. About the Role: CoreWeave is seeking a Data Scientist 2 - Forecasting to build and improve the forecasting models and pipelines that power capacity planning. You will own defined forecasting workstreams across day-ahead through quarterly horizons, helping the business understand utilization patterns, demand signals, and forecast variance. You will contribute analysis and automated data flows that feed the consensus planning process. In this role, you'll partner closely with Capacity, Sales, Product, Finance, and Data Center Operations to help translate demand signals into infrastructure decisions. In this role, you will: • Build, tune, and maintain forecasting models for GPU, CPU, and Storage assets across defined planning horizons., • Prepare utilization and demand analyses that support the consensus planning cycle and help synthesize inputs from Sales and Product., • Partner with Capacity Managers, Finance, and Data Center Operations to validate model assumptions against physical constraints and financial targets., • Develop models and analyses that interpret utilization data, surface consumption patterns, explain forecast variance, and recommend improvements to models or source data., • Build and maintain production-grade pipeline components that automate recurring forecast refreshes and reduce manual intervention.Who You Are:, • Bachelor's or Master's degree in Operations Research, Statistics, Economics, Computer Science, or a related quantitative field., • 3-5 years of experience in demand forecasting, capacity planning, or applied predictive modeling, including hands-on ownership of forecasting models or workflows., • Proficiency in Python and SQL for data manipulation, analysis, and predictive modeling., • Experience writing production-quality, version-controlled code., • Working exposure to S&OP, IBP, or other consensus-based planning environments., • Experience presenting forecast outputs, utilization analyses, or planning insights to cross-functional stakeholders.Preferred:, • Experience in high-complexity, competitive, or low-margin industries such as advanced manufacturing, semiconductors, energy, logistics, or cloud infrastructure., • Familiarity with AI infrastructure, including GPUs, CPUs, and data center operational constraints., • Exposure to modern data and pipeline tooling such as dbt, Airflow, and Snowflake., • Early experience applying operations research or optimization techniques to business problems. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. • You enjoy turning ambiguous demand signals into structured forecasting inputs., • You're curious about how utilization patterns and infrastructure constraints shape planning decisions., • You're an expert at finding the story in messy data and using it to improve models., • You like building repeatable data workflows that reduce manual work and improve decision-making.Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!The base salary range for this role is $134,000 to $179,000. The starting salary will be determined by job-related knowledge, skills, experience, and the market location.We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:Thea Energy is looking for a highly motivated Burning Plasma Scientist to join our Physics team, focusing on modeling energetic particle confinement and transport. In this role, you will run high-fidelity simulations and pioneer the use of Machine Learning surrogates to accelerate our design cycles. You will work directly with our optimization team to ensure our magnetic topologies manage fast-ion loss and heat loads effectively.Key Responsibility Areas: • Execute and analyze high-fidelity simulations using particle-following codes to assess alpha particle and neutral beam ion confinement in 3D magnetic geometries, • Investigate Alfvén Eigenmode (AE) stability using kinetic-MHD hybrid codes and assess their impact on energetic particle transport, • Develop reduced-order models and ML surrogates trained on simulation databases to enable real-time prediction of pressure profiles, • Collaborate with the engineering team to iterate on coil designs and divertor configurations to minimize fast-ion losses, • Develop synthetic diagnostics (e.g. Fast-Ion Loss Detectors, Neutron Cameras) to bridge the gap between our models and future experimental campaignsIdeal Experience & Skillsets:, • PhD in Plasma Physics, Computational Physics, or related field (or Master’s / Bachelor’s with equivalent research experience), • Proficiency in programming languages commonly used in scientific computing (e.g. Python, Fortran, C++, or MATLAB), • Creative problem solving and proven ability to thrive in collaborative environments such as startups or research groups, • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally, • Passion for advancing the field of fusion energy research, • Familiarity with kinetic, MHD or particle-following codes, • Experience developing Machine Learning surrogates for physical systems, • Familiarity with energetic particle diagnosticsCompany Benefits:, • Salary range $135,000-$210,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTOIt’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob Description The Agency You’ll Join: The New York City Mayor’s Office is responsible for overseeing city services throughout the five boroughs, coordinating public agencies and departments, and managing public property. The administration is leading the fight in making the city more affordable, reducing inequality, improving public safety, ensuring delivery of efficient and effective services, and working to make New York City’s economy stronger. We value leadership, transparency, fairness, and efficiency as we actively seek diverse talents from various sectors to join our team The Team You’ll Work With: The Mayor’s Office of Climate and Environmental Justice (MOCEJ) is a team of architects, lawyers, data and climate scientists, engineers, policy advisors, geologists, and city planners working to create a city where our 8.8 million New Yorkers can live, work, learn, and play in healthy, resilient, and sustainable neighborhoods. MOCEJ integrates sustainability, resiliency, and environmental justice into one coordinated approach across several climate and environmental offices, all working to make our buildings efficient and resilient; our infrastructure climate-ready; our streets, open spaces, and public realm active, safe, and healthy; and our energy clean and resilient. All New Yorkers deserve safe, healthy, resilient, and sustainable environments, even as the climate changes. MOCEJ is committed to improving environmental quality for all, prioritizing front-line communities, seeking to redress current and past injustices and inequities while creating economic opportunities for all. Through science-based analysis, policy and program development, and capacity building, MOCEJ leads the City’s efforts to ensure that New York City is minimizing its contributions to climate change, preparing to adapt and protect New Yorkers from extreme weather and multiple climate hazards, and giving every New Yorker a meaningful voice in our city’s future. The Problems You’ll Solve: On the team led by the Deputy Executive Director for Planning, Adaptation and Environmental Justice, the Climate Science Advisor oversees climate science research and analysis at MOCEJ, including the development of data analytics tools to drive decision-making and detection of climate risks related to torrential rain, coastal flooding, extreme heat, and other climate threats. The Climate Science Advisor will work closely with MOCEJ staff on monitoring and updating climate and environmental data that informs various data products, such as the Environmental Justice NYC (EJNYC) report and mapping tool, energy use and affordability, and methodologies that track emissions and other air quality issues. The responsibilities of the Climate Science Advisor include the following: • Lead climate data analytics to drive decision-making and inform climate policy for MOCEJ, partners in government, and external stakeholders., • Develop and manage innovative products and services that visualize data, concepts, and other actionable information, as well as build internal capacity to use scientific evidence in ongoing policymaking, planning, and operations. Support exploration and advancement of new data products, such as digital twins, scenario modeling platforms, and decision-support tools in line with emerging climate science., • Convene the New York City Panel on Climate Change (NPCC), which comprises academic and research partners appointed to develop novel climate science research. In partnership with the NPCC Co-Chairs, the Climate Science Advisor will align the panel’s efforts with City policy and decision-making, strengthen engagement and participation in climate assessments, and clearly communicate climate science and risks to agency partners, advocates, researchers, and the public. The Climate Science Advisor will provide support to ensure the NPCC on workplans, deliverables, budget, consultant management, and will ensure alignment of the NPCC’s scientific outputs with MOCEJ’s strategy and policy priorities., • Manage the office’s data tools and products to identify and analyze geographic, racial, and socioeconomic disparities of climate risks and environmental justice impacts, including the Environmental Justice NYC report indicators and mapping tool and the Greenhouse Gas Inventory. This work will include tasks such as updates and methodological refinements to environmental justice risk indicators, including integration of cost burden, affordability implications, cumulative climate risk metrics, and other environmental justice considerations to better inform equitable adaptation policy and investment strategies., • Work with staff across the office to conduct new climate research projects that support MOCEJ’s policy goals, lead procurement for research in partnership with MOCEJ policy teams, and support key partners in developing proposals and cultivating new research projects; manage grant funding for climate research implementation. Past examples include engaging DDC’s Town+Gown program to develop and manage research scopes, as well as coordinating with non-profit partners on RainproofNYC., • Implement systems for monitoring and tracking relevant scientific and technical assessments, findings, and related press and responses, including leading engagement with academic researchers and other key stakeholders, and report on such efforts regularly to senior leadership, • Convene and manage diverse stakeholders to create a research agenda and develop data-driven policy for climate policy in NYC, including facilitating interagency working groups, engaging science and research institutions to create research agendas and develop data-driven policies, and engaging funders, including federal agencies, philanthropists, and foundations, to secure resources to carry out climate science initiatives., • Supervise and manage research fellows and interns as needed. About You: • You have experience in data analytics, including analyzing and synthesizing complex data and subject matter to produce descriptive statistics, charts and graphs, infographics, and data-rich maps., • You are fluent in GIS, JavaScript, Tableu, statistical, and/or data visualization software is critical. Experience conducting interviews and analyzing qualitative data is a plus., • You have a strong grasp of issues relating to climate change in a large urban setting. An understanding of climate issues facing New York City is a plus., • You are familiar with participatory research, citizen science, and co-production of knowledge., • You have demonstrated experience managing multiple contracts and coordinating priority research., • You can work with professionals from a variety of disciplines in the physical and social sciences, across a range of policy fields, and in different organizational settings., • You have experience leading and executing data and policy convenings, including agenda development, facilitation, follow-up, and evaluation., • You have experience setting clear objectives and timelines, balancing and adjusting to external factors and competing priorities, and inspiring individuals and teams to achieve outcomes and complete products., • You can participate in collaborative processes playing both supporting and leading roles, as needed, and be able to both listen and contribute when needed., • You can communicate complex ideas and translate highly technical information to diverse audiences in writing and meeting settings, and you are comfortable with public speaking., • You have a willingness to travel in the 5 boroughs and work after hours or on weekends, as required. Salary: The City of New York Office of the Mayor’s compensation package includes a market-competitive salary, equity for all full-time roles, and exceptional benefits. Our cash compensation range for this role is $109,565 – $120,000. Final offers may vary from the amount listed based on candidate experience and expertise, and other factors. CITY RESEARCH SCIENTIST - 21744 Qualifications 1. For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health. To be appointed to Assignment Level II and above, candidates must have: 1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or, 2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or, 3. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above. NOTE: Probationary Period Appointments to this position are subject to a minimum probationary period of one year. Additional Information The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

Job Description • Role: Senior Data Scientist, • Location: New York City, • Type: Hybrid Position Summary Our client is looking for a Data Scientist who will play a crucial role in providing analytics and data science support to a client within our Sports, Media and Entertainment practice. The primary responsibility of this role is to leverage your expertise in analytics, data science, machine learning and AI to empower the client in making informed business decisions. You will work with a dynamic team and will have true ownership and impact over developing analytics solutions and data products for the stakeholders. If you're a passionate sports fan who understands both the emotional and commercial dynamics of the industry - and you thrive in fast paced, collaborative environments, we'd love to connect. Responsibilities: • Collaborate with the client in the sport sector to understand their business objectives and challenges and ensure the delivery of high-quality analytics/data science solutions., • Design and build end to end machine learning solutions and statistical frameworks across fan behavior., • Own the full modeling lifecycle: problem framing, feature engineering, model selection, cross validation and hyperparameter tuning, • Lead recurring analytical programs with a focus on reproducibility and automation., • Partner with data engineering to integrate model outputs into operational systems and stakeholder facing products., • Utilize your strong analytical and problem-solving skills to extract meaningful insights from data and contribute to data-driven decision-making., • Use variety of analytical tools (SQL, Python) and techniques (regression, decision trees, machine learning concepts etc.) to carry out analyses, create ML models and drive conclusions., • Support the integration of data science capabilities for the client to help solve tangible problems with measurable impact., • Contribute to the continuous improvement of analytics processes and methodologies. Core Skills (Required): • Bachelor's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas, • 2+ years of hands-on experience in a data science role with a track record of shipping models into production., • Extremely proficient in SQL for robust data extraction and analysis., • Strong programming skills in Python., • Familiarity with Git and code/data version control., • Solid statistical foundation, • Exposure to NLP techniques for processing unstructured survey data., • Excellent communication, problem-solving, and critical thinking skills., • Self-started and willingness to take on challenging initiatives, • Effective time management and attention to detail, • Familiarity with MLOps concepts Qualifications (Preferred): • Master's degree in a relevant field (e.g., Data Science, Analytics, Business Analytics)., • 4-5 years experience, • Industry experience in Sports or Media., • Familiarity with additional data analysis and visualization tools., • Advanced statistical analysis and modeling skills., • Familiarity with data science governance practices

Job DescriptionAbout Dyania Health Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. The Role We are seeking a Staff or Senior Staff Research Scientist to lead the design, development, and implementation of advanced AI/ML and LLM-based models for clinical data understanding. This is a senior, hands-on research role. You will build and customize models, design architectures, and drive ML innovation from concept through production. This is not a data science or analytics role—we are looking for someone who deeply understands how models work internally and can independently solve complex, open-ended problems. Leveling is based on experience: • Staff Research Scientist: 7+ years of relevant experience, • Senior Staff Research Scientist: 10+ years, including technical leadership responsibilities What We’re Looking For • A senior researcher who builds models, not dashboards, • A hands-on technologist who understands model architecture, training, and optimization, • Someone who can define strategy, lead initiatives, and still write production-quality code, • A strong independent problem solver comfortable with ambiguity and research-driven development, • A technical leader who can mentor others while delivering individually Key ResponsibilitiesResearch, Development & Implementation • Design, build, train, and deploy AI/ML and LLM-based models, • Own the full model lifecycle: problem definition, research, prototyping, training, evaluation, and deployment, • Apply strong understanding of ML and AI fundamentals to real-world biomedical problems, • Develop and optimize models using Python and modern ML frameworks, • Research emerging techniques and propose innovative solutions aligned with product and business needs Problem Solving & Strategy, • Independently analyze complex, ambiguous problems and determine appropriate modeling approaches, • Evaluate and recommend technical solutions and system architectures, • Translate research concepts into scalable, production-ready systems, • Contribute to long-term ML and AI strategy and technical vision Leadership, • Lead cross-project research and development initiatives, • Provide technical mentorship and guidance to junior researchers and engineers, • Establish best practices for experimentation, model development, and deployment, • Influence technical roadmaps and architectural decisions Requirements Required Qualifications • 7+ years (Staff) or 10+ years (Senior Staff) of experience in AI/ML research or ML engineering, • Graduate degree in Computer Science, Engineering, or a related technical field, • Strong hands-on experience building, training, and deploying ML and AI models, including LLMs, • Deep understanding of model fundamentals and architecture design, • Proven ability to solve problems end-to-end, from research through implementation, • Advanced proficiency in Python for model development and training, • Experience customizing models rather than relying solely on pre-built solutions, • Ability to independently research, evaluate, and propose technical approaches Preferred Qualifications • Publication record in top-tier AI, NLP, or ML conferences, • Experience working with EMR or other complex clinical datasets, • Experience with multi-modal AI systems, • Prior senior or lead-level technical experience, • Familiarity with regulatory considerations for clinical AI systems, • Experience contributing to long-term technical strategy or system architecture, • PhD is welcome but not required Team Culture: • We lead with empathy for patients and our teammates, • We value small egos, self-awareness, and humility in our teammates, • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift, • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team, • We value open dialogue and brainstorming across multidisciplinary teams Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Professionals — STEM Research Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research teams to close knowledge gaps in STEM domains by surfacing edge cases, ambiguities, and frontier problems where current models underperform., • Design challenging, rigorous domain tasks and write accurate, well-reasoned solutions that demonstrate expert-level scientific and technical reasoning., • Evaluate tasks and solutions produced by AI agents and other contributors, providing clear written technical feedback grounded in domain expertise., • Develop evaluation frameworks and rubrics for assessing scientific reasoning quality across STEM domains., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • PhD (completed, enrolled, or equivalent research track) in Physics, Chemistry, Biology, Mathematics, Statistics, Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, Materials Science, or another STEM discipline., • 3+ years of research, academic, or industry experience in their primary STEM domain., • Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods, data analysis, statistical inference, programming, or equivalent scientific methods., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Strong written communication skills; ability to explain complex scientific or technical concepts clearly in writing. Preferred • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Compensation & Legal • W-2 employment with Cincinnatus LLC. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Job Title: Postdoctoral Research Scientist Grade: 20 Salary: $73,045-$87,987 The Research Foundation for Mental Hygiene is seeking a qualified candidate to fill a full-time Postdoctoral Research Scientist position. The Center for Behavioral Health and Youth Justice at Columbia University Irving Medical Center and the New York State Psychiatric Institute is recruiting a postdoctoral fellow interested in a career conducting research on understanding and addressing mental health and substance use problems among youth and young adults involved with the justice system. The fellow will work directly under the mentorship of Dr. Katherine Elkington for an interactive, in-person fellowship, with opportunities for external mentorship from researchers from the broader Columbia University Irving Medical Center and from within the NIDA Justice Community Opioid Innovation Network. The fellow will primarily work on two NIDA-funded Initiatives: Project Court REACH (UG1DA05700) -- which is focused on developing and testing implementation strategies to support the roll-out of 10 novel opioid courts across New York State [https://projectreach.nyspi.org/] and e-ConnectYA (R33DA065192), which focuses on implementing a systematic program to identify overdose, suicide and beavrioal health risk, and refer and linkage recently incarcerated young adults with treatment. Both projects fall under the NIDA-funded JCOIN initiative, which is consortium focused on increasing access to evidenced based treatments for individuals with opioid use disorder who are within the justice system. The successful candidate will collaborate with leading researchers, contribute to cutting-edge projects, and have opportunities for publication, mentorship, grant writing, and contributions to the design and development of future studies within this consortium. Beyond JCOIN activities, integration into other projects will be based on the fellow's interests and training needs. There are currently multiple NIH-funded studies, including clinical trials for interventions to improve identification of behavioral health risk, including suicide, in justice-involved youth and increase referral and initiation of treatment and care. There are also both qualitative and quantitative data from multiple NIH-funded studies focused on identification and prevention of health and behavioral health problems and linkage to treatment for justice-involved youth and young adults available for secondary analysis. Duties and Responsibilities: • Conduct advanced grant-funded research (e.g., ensure fidelity of intervention implementation and stakeholder/community partner engagement, develop data reports, supervise intervention implementation, collaborate with a project coordinator on project-related tasks, assist in training and supervising data collection staff, assist with dissemination of research results), • Work with project director on study start-up and development activities related to adapting e-Connect for a new young adult population., • Oversee systematic literature reviews of epidemiologic and treatment studies on topics relevant to the current study (opioid and co-occurring drug use, court participants, linkage to treatment)., • Serve as primary author or co-author for journal articles and chapters for publication., • Write or assist with writing grant progress reports and new grant applications., • Attend professional conferences for continuing education and to present study results., • Collaborate with multidisciplinary teams of researchers: epidemiologists, addiction psychiatrists/psychologists, lawyers, biostatisticians, and public health experts. Foster a collaborative and inclusive research environment., • Provide mentorship and guidance to junior researchers, graduate students, and interns working on the project. Minimum Qualifications: • A Ph.D. in psychology, public health, criminology, or a related field (degree must be attained by the position start date)., • At least (1) year of experience working as part of a (multidisciplinary) research team., • Demonstrated record of publications, • At least (1) year of training in human subjects' research protocols and ethical conduct of research. Preferred Qualifications: • Prior record of grant funding and/or at least (1) year of partnerships with the criminal/juvenile justice system a plus., • Demonstrated strong analytical and problem-solving skills and experience using statistical techniques and software (e.g., SPSS, SAS, STATA, MPlus, R)., • Excellent communication skills, both written and oral, for presenting research findings and collaborating effectively with team members and stakeholders., • Demonstrated ability to work both independently and as part of a collaborative team., • Demonstrated attention to detail and a commitment to rigorous research methodologies. Work Location: 1051 Riverside Drive, New York, NY 10032 To Apply: Submit an application through our website at https://rfmh.applicantpro.com/jobs/. Please note only applications submitted through our website will be considered. The Mission of the Research Foundation for Mental Hygiene, Inc. (RFMH) is to promote the mental health of all New Yorkers, with a focus on providing hope and supporting recovery for adults with serious mental illness and children with serious emotional disturbances. Applicants with lived mental health experience are encouraged to apply. RFMH is deeply committed to supporting underserved individuals, organizations, and communities. To this end, RFMH is focused on implementing activities and initiatives to reduce disparities in access, quality, and treatment outcomes for underserved populations. A critical component of these efforts is ensuring that RFMH is a diverse and inclusive workplace where all employees' unique attributes and skills are valued and utilized to support the mission of the Agency. RFMH is an equal opportunity/affirmative action employer. The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. Excellent Benefits Package. Affirmative Action/Equal Opportunity Employer - Disabled/Veteran, 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a) compliant. Job Posted by ApplicantPro

Job Description Our client is seeking an Research Scientist to join their Center for Data Analytics, Innovation, and Rigor (DAIR) team in New York City. As part of the DAIR team, you will report to the Director, DAIR. You will help provide oversight for the development, implementation and analysis of multimodal modal brain and body imaging (MoBI) studies of behavior and brain function with particular focus placed on the application of advanced statistical learning techniques to multimodal datasets for the purpose of identifying biomarkers, signals, or trends that have clinical utility. Translational models will be employed as needed to understand phenomenology underlying biomarkers and establish their validity. The Research Scientist will help develop short- and long-term work goals for data analysts and provide supervision and mentoring for junior research staff. The Research Scientist will ultimately function as a Principal Investigator, providing leadership in these areas and building a portfolio of scientific evidence, fundable projects, and software and analytic tools in the area of multimodal brain and body imaging and biometrics. This exempt, full-time, hybrid position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor in the NYC headquarters office. The in-office requirement and schedule are subject to change based on the needs of the program and the organization. Our client is dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. They have become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Responsibilities: • Procurement and development of multimodal data acquisition protocols., • Development, application, and refinement of analytic approaches for multimodal data., • Prepare manuscripts for publication in peer-reviewed scientific journals., • Prepare grant applications directly as principal and co-investigator., • Assistance in the guidance and mentoring of DAIR and MoBI team research staff (e.g.,research assistants, data analysts, post-doctoral fellows)., • Strategic planning and oversight for the development and qualityassurance for DAIR and MoBI team research databases and related infrastructure., • Formation and maintenance of collaborative relationships with scientific peers., • Perform additional job-related responsibilities as assigned Qualifications: • PhD in electrical engineering, bioengineering, computer science, biophysics, appliedmathematics, or neuroscience, with two years or more of postdoctoral training in one ormore measurement modalities for brain function (inclusive of training, if applicable)., • 5+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning), preferably in a clinical or research setting., • 5+ years of experience in at least one scientific programming language (e.g., Python/R,Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars,Pytorch) is required., • 5+ years of combined experience and education in the collection and/or analysis of mental health-related data modalities, such as MRI, EEG, physiological measures, eye-tracking, developing computer-based tasks, or ecological assessments., • 2+ years of supervising experience by mentoring predoctoral trainees, • Must be considered NIH-eligible to serve as a Principal Investigator on grant submissions., • Must have a demonstrable track record of conducting experiments, writing analyses, and communicating results through scientific posters, presentations, and papers., • Must be broadly considered a strong and qualified researcher in signal processing, image analysis, and software development., • An outstanding academic and research background in a disciplinary area relevant to the Child Mind Institute, including relevant academic qualifications. Special Considerations: The anticipated salary range for this position is $110,000 - $130,000 USD annually. Our client's competitive compensation and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. Our client is an equal opportunity employer and does not discriminate in employment based on race, religion (including religious dress and grooming practices), color, sex/gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sex stereotype, gender identity/gender expression/transgender (including whether or not you are transitioning or have transitioned) and sexual orientation; national origin (including language use restrictions and possession of a driver's license issued to persons unable to prove their presence in the United States is authorized under federal law [Vehicle Code section 12801.9]); ancestry, physical or mental disability, medical condition, genetic information/characteristics, marital status/registered domestic partner status, age (40 and over), sexual orientation, military or veteran status, or any other basis protected by federal, state or local law or ordinance or regulation.

Job Description About Child Mind Institute We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details: As part of the Research, Administration, Operations and Project Management team, you will report to Director, Operations and Project Management. You will support the operational coordination of research and implementation efforts led by the Office of the Chief Scientist. They will support coordination across internal and external teams and contribute to managing complex calendars, coordinating high-impact meetings and project timelines, and ensuring seamless communication across all internal and external teams that interact with the Office of the Chief Scientist. This role requires scientific literacy to draft technical communications, professional judgment and the ability to support executive priorities and special projects with limited oversight. This is a non-exempt, full-time, hybrid position located in our NYC headquarters office. This position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor The in-office requirement and schedule are subject to change based on the needs of the program and the organization. You Will: Plan and support internal and external meetings, retreats and conferences, including preparing agendas, technical talking points, taking minutes, coordinating logistics (travel, A/V, space reservations etc.), and tracking executive follow-up actions. Act as a point of contact for collaborators, vendors, and institutional partners in a professional and timely manner. Partner with Marketing and Communications to draft research press releases (e.g., Eureka Alerts) and other high-level external communications. Collaborate with the Development team to create and maintain major giving materials and help track partnership deadlines. Manage complex scheduling and strategic calendar coordination for the Chief Science Officer and associated research teams. Support documentation and organization of SOPs, contact lists, templates, and shared resources for the Office of the Chief Scientist. Support coordination of cross-functional projects by tracking deliverables, deadlines, and dependencies across the research portfolio. Contribute to process improvements and operational execution to help support project completion in alignment with organizational policies and procedures. Provide coordination support for special projects and operational initiatives. Other duties as assigned. You Have: Bachelor's degree and 5+ years of relevant professional experience required, or Master's degree and 3+ years of relevant professional experience. Degree in a scientific, research, healthcare, or related field. #LI-on-site, #LI-hybrid. Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website. Pay Range The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. EEO Disclaimer Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws. In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL). Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at hr@childmind.org This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Physics - Research Collaborator Type: Contract Compensation: $70–$100/hour Location: Remote Role Responsibilities • Design challenging, real-world physics problems in areas like classical mechanics, electromagnetism, and quantum mechanics., • Prepare components including detailed problem statements, golden solutions, and evaluation criteria., • Evaluate the model's performance on tasks to identify reasoning and derivation failures., • Analyze model trajectories to extract core capability loss patterns., • Work independently and asynchronously to meet deadlines while improving model performance. Qualifications Must-Have • Currently enrolled in or recently completed a PhD program in Physics or a related field., • Deep expertise in physics subfields with strong mathematical and analytical skills., • Ability to write clear, rigorous, and well-structured physics problems and solutions., • Strong verbal and written communication skills., • Ability to engage reliably for 8+ hours/week. Compensation & Legal • W-2 employment through Cincinnatus LLC., • Payroll, benefits, and compliance provided by Cincinnatus LLC. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Professionals — AI & Data Science Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research and engineering teams to close knowledge gaps in AI and data science domains. Surface nuances that distinguish expert-level work from surface-level reasoning., • Design challenging agentic tasks rooted in real-world ML, data science, data engineering, and software workflows. Write accurate, well-documented solutions that serve as ground truth., • Evaluate AI agent outputs against your solutions. Provide detailed written feedback capturing correctness, efficiency, and reasoning quality., • Develop and refine evaluation frameworks and rubrics for assessing agentic behavior on AI and data science tasks., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • 3+ years of research, academic, or industry experience in Machine Learning, Data Science, Software Engineering, Computer Science, Statistics, Biology, Electrical/Mechanical/Civil Engineering, Physics, Chemistry, Mathematics, Materials Science, or other STEM background., • Demonstrated technical expertise in programming, data analysis, ML modeling, statistical methods, or computational methods., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Strong written communication skills and the ability to explain technical decisions clearly. Preferred • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Staff Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You'll work with our clinical researchers, data scientists, and data engineers to improve the rules and models we use to evaluate provider performance. Your work will directly impact our member recommendations and provider-facing data products. You will also be a technical leader, raising the bar for how we conduct analysis, build models, and deploy data science code by improving standards and mentoring team members. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Partner with product managers and clinical experts to lead projects shaping how we define and measure provider cost and quality, • Drive the evolution and construction of tools we use to write, assess, and combine rules measuring provider behaviors, • Build and maintain data-driven algorithms, including AI and machine learning models, to improve our provider recommendations estimates, • Serve as a subject matter expert for statistical modeling, improving methods for evaluating current models and future changes, • Partner with data engineers to design scalable data pipelines that ingest, clean, and enrich healthcare provider data, • Collaborate cross-functionally with product, engineering, research, and operations teams to translate business needs into data-driven solutions, • Define data science standards and best practices, and mentor team members to raise the technical capabilities of the data science teamThe ideal candidate has:, • 8+ years professional experience in data science, product analytics, and/or healthcare, • A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders, • Strong Python and SQL skills, • Expertise in statistical modeling techniques and a track record of building impactful predictive models, • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success, • Experience working in a rapidly evolving startup environment., • A desire to be a part of our mission to improve the U.S. healthcare system, • A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedbackTechnologies we use:, • Python and Jupyter Notebooks, SQL (Snowflake), Argo, DBT, AWS, Terraform This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $263,000 - $300,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com. Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Biotechnology Research Expert Type: Contract Compensation: $1,150–$1,450 per completed task Location: Remote Role Responsibilities • Review and evaluate AI-generated outputs related to experimental design, genomic data analysis, protein characterization, and biotech research methodologies., • Create realistic scenarios based on laboratory and research workflows such as gene expression analysis, CRISPR experimental protocols, and proteomics data interpretation., • Annotate, label, and validate data across biotech research use cases, including sequencing pipeline accuracy and molecular target identification., • Provide structured feedback on AI accuracy in molecular biology techniques, genomics and proteomics standards, and regulatory guidelines., • Collaborate asynchronously with research teams to refine evaluation frameworks for biotechnology research AI. Qualifications Must-Have • 3+ years of professional or postdoctoral research experience in biotechnology, genomics, proteomics, or molecular biology., • Background in genomics and next-generation sequencing (NGS), proteomics, molecular biology, or drug discovery., • Advanced degree (MS, PhD) in a relevant life sciences field strongly preferred., • Professional experience at a biotech company, CRO, academic research lab, or pharmaceutical R&D organization., • Strong analytical thinking and ability to translate complex research workflows into structured evaluation tasks., • Clear written communication and attention to detail. Compensation & Legal • Task Completion Pay: Competitive and based on task quality., • Performance Bonus: Top performers receive a weekly bonus incentive., • Hourly Opportunity: Top performers may transition to an hourly compensation model. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About Synchron Synchron’s vision is to build non-surgical brain–computer interfaces at global scale that protect the fundamental human rights of freedom of expression and autonomy. Our first mission is to develop motor decoders that restore the ability of 15 million people with paralysis to interact with the digital world. Our second mission is to develop whole-brain cognitive decoders that enable hundreds of millions of people with cognitive decline to preserve and expand their agency as cognition changes over time. In pursuing these goals, we aim not only to help humans flourish, but also to drive fundamental discoveries in human intelligence. Our team operates at the intersection of healthcare and technology, translating breakthrough research into real-world, safety-critical systems. Employment: Full-Time Location: Brooklyn, New York (Onsite) About the Role We are seeking an energetic, personable, and adaptive researcher to work directly with the pioneering participants of our brain-computer interface (BCI) product. This role bridges human neuroscience research, applied machine learning, and real-world BCI deployment. You will work closely with our machine learning, research engineering, clinical, and product teams to collect, analyze, and interpret neural and behavioral data, contributing directly to the improvement of real-time neural decoding models and user experience. Your work will directly translate to the ability of our users to control the BCI. The ideal candidate is resourceful, learns fast, handles uncertainties strongly, and has excellent experiment operations. You should be as comfortable speaking with participants and their caregivers as you are experimenting with model training pipelines or analyzing data. Key Responsibilities • Conduct research sessions with BCI users, including setup, calibration, and structured data collection., • Analyze and interpret multimodal data (neural, behavioral, video) to inform product and research decisions., • Develop and iterate on machine learning models for neural signal decoding and behavioral prediction., • Collaborate with machine learning and research engineering teams to align experimental protocols with product goals., • Document findings and methodologies for internal and external dissemination., • Support the design of human research protocols and ensure compliance with ethics and safety standards., • Travel regularly as required to work with participants, clinicians, and collaborators. Required Qualifications • Bachelor’s, Master’s, or PhD in Neuroscience, Computer Science, Biomedical Engineering, or a related field (or equivalent experience)., • Expertise in Python, with model training workflows (e.g., PyTorch, TensorFlow, scikit-learn, metaflow), and data science frameworks and tools (e.g., NumPy, Pandas, SciPy, matplotlib, seaborn)., • Expertise in machine learning techniques and applications for real-time systems, • Demonstrated ability to problem-solve under uncertainty and adapt quickly to new environments., • Excellent interpersonal and communication skills for working directly with BCI users and research participants., • Ability to travel frequently to the participants for research sessions. Preferred Qualifications • Experience conducting or supporting human research., • Familiarity with brain–computer interface systems or electrophysiological data., • Experience designing or executing experiments with human participants., • Experience in applied research environments integrating software, hardware, and data science.Compensation, • The base salary range for this role is $150,000 – $220,000USD depending on experience, skills, and qualifications., • In addition to base salary, this role may be eligible for discretionary bonuses and/or equity grants, subject to board approval and company policy. Visa Sponsorship We are unable to offer visa sponsorship for this position at this time. Benefits (for W-2, full-time, exempt employees in the US only) *Intern positions not eligible • Subsidized medical and dental insurance coverage for you and your dependent(s), • Life insurance, short-term disability, long-term disability, • 401k, • Discretionary unlimited PTO, • Flexible Spending Account for you and your dependent(s), with eligible plan elections, • Commuter benefits for NY employees Equal Employment Opportunity (EEO) Synchron is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants and provide equal employment opportunities without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable law. If you need a reasonable accommodation during the application or interview process, please let us know. Join Us At Synchron, you will be part of a transformative mission and you will work alongside driven people who believe in the power of collaboration and innovation to make a lasting impact. If you are excited to stretch your skills and contribute to something meaningful, apply and now and build the future with us.

Job Description Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join our dynamic and multidisciplinary team of independent and entrepreneurial computer scientists and engineers. In this role, you will collaborate with scientists and researchers in various areas, including data analysis, compression, text processing, graph analysis, machine learning, information visualization, as well as others. Responsibilities: • Collaborate with scientists and researchers in various areas to develop state-of-the-art algorithms, software, and computer systems solutions to challenging problems., • Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory., • Engage with other developers frequently to share relevant knowledge, opinions, and recommendations, working to fulfill deliverables as a team., • Design technical solutions independently, participating as a member of a multidisciplinary team to analyze client requirements and designs, and implementing software and performing analyses to address these needs., • Develop and integrate components for creating an operational information and knowledge discovery system. Requirements • Bachelor’s degree in computer science, computer engineering, or related field, or the equivalent combination of education and related experience., • Comprehensive knowledge of one or more of the following: high-performance computing, scientific data analysis, statistical analysis, computer security, systems programming, and/or large-scale data management., • Skilled in all phases of software development, including but not limited to feasibility requirements, design, implementation, integration, testing, and deployment., • Experience developing software with C++, C, Java, Python, R, or Matlab, software applications in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches, relational databases, or machine learning algorithms., • Ability to successfully handle multiple time-sensitive projects across several disciplines., • Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information. Benefits We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Job Description Join Tech @ Ro to build the future of healthcare, from the ground up! At Ro, we believe that when people achieve their health goals, they can achieve their life goals. The highest-leverage way to move society forward is to give people their health, and the current healthcare system isn’t built to do that. It was built to bill, not to serve patients. We’re building a new system. One where the patient is in control. One designed from scratch for the digital age. At Ro, technology isn’t just a function… It's core to how we deliver care. We’ve built a vertically integrated healthcare platform that connects telehealth, diagnostics, pharmacy, and logistics into a seamless, end-to-end experience for millions of patients. …and we’re just getting started. As part of Tech @ Ro, you’ll work on systems that operate at scale, with an opportunity to: • Solve complex, high-concurrency problems across a full-stack platform, • Build and ship quickly with tight feedback loops and real-world impact, • Own systems end-to-end, from architecture to production performance, • Work alongside experienced operators, technical leaders, and clinicians, • Help define how modern healthcare should be delivered We’re a performance-driven team with a strong sense of ownership and urgency. We move fast, learn quickly, and hold a high bar for what we build, and do so with a big heart — because patients depend on it. If you’re motivated by impact, scale, and the chance to help lead the patient revolution, come build with us. The RoleRo is building a team focused on shipping LLM-powered products across the patient experience, clinical operations, and internal tooling. We're hiring a Senior Applied AI Scientist to own the evaluation, measurement, and optimization of our AI systems. This role sits at the intersection of data science, applied machine learning, and product engineering. You'll design the frameworks that tell us whether our AI systems are actually working and use those insights to continuously improve them. This is not a research role. You'll work closely with engineers and product teams to evaluate production systems, run experiments, identify failure modes, and ensure our AI products become more accurate, reliable, and cost-effective over time.What You'll Do • Design and own evaluation frameworks for production LLM features, including LLM-as-a-judge evaluations, regression suites, synthetic datasets, golden datasets, and human review workflows., • Analyze production behavior to identify quality issues, hallucinations, latency bottlenecks, cost regressions, and emerging failure modes., • Design and run experiments including prompt variations, workflow changes, retrieval improvements, and model comparisons; and quantify their impact on quality, operational metrics, and user outcomes., • Define the metrics that matter and build dashboards that make AI performance visible across the organization., • Partner with engineering to determine which optimizations should be productionized and how to measure ongoing success., • Mentor teammates on experimental design, statistical rigor, evaluation methodology, and measurement best practices.Who You Are, • 5+ years of experience in data science, applied machine learning, experimentation, or a closely related field, with at least the last year focused on applied LLMs or AI evaluation., • Strong Python and SQL skills with experience working on production data pipelines and experimentation., • You have experience designing reproducible evaluation frameworks rather than relying on manual spot checks or qualitative assessments., • You have strong statistical intuition: you think in terms of distributions, confidence intervals, variance, and sample sizes rather than anecdotes., • You’re comfortable working closely with engineers and product teams to translate experimental findings into production improvements, • Bonus: Experience with evaluation platforms (e.g. Braintrust, LangSmith, OpenAI Evals), experimentation platforms, causal inference, healthcare, or operations-heavy environments. A note on reporting structure This is a new function at Ro, and we're being deliberate about not over-defining it. Your manager and where you sit on the org chart will depend on the specific shape of the team we end up with. We'd rather find the right people and figure out the lines around them than pre-draw boxes and miss great candidates. If that ambiguity is a deal-breaker, this isn't the right role; if it sounds like an opportunity, we want to talk. • The target base salary for this position ranges from $182,300 to $220,000, in addition to a competitive equity and benefits package (as applicable). When determining compensation, we analyze and carefully consider several factors, including location, job-related knowledge, skills and experience. These considerations may cause your compensation to vary. Ro is consistently recognized as a top workplace in Health Care, in New York, and for Women and Parents—earning more than 20 honors from Fortune, Great Place to Work, and PEOPLE since 2021. In 2025 alone, we ranked top 5 among medium workplaces in Health Care and New York, and top 50 nationwide. At Ro, we believe that our diverse perspectives are our biggest strengths — and that embracing them will create real change in healthcare. As an equal opportunity employer, we provide equal opportunity in all aspects of employment, including recruiting, hiring, compensation, training and promotion, termination, and any other terms and conditions of employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, familial status, age, disability and/or any other legally protected classification protected by federal, state, or local law. Ro is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and interview process. If you require a reasonable accommodation in the application or interview process, please contact us at talent@ro.co. See our California Privacy Policy here. We may use automated tools, including artificial intelligence (AI), to assist with parts of our recruiting and hiring process, such as reviewing applications, evaluating resumes, and assessing responses or job-related qualifications. These tools are used to support our recruitment team and do not replace human judgment. Final hiring decisions are made by humans.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Biology & Biophysics Researchers (Part-time) Type: Contract Compensation: $125–$225/hour Location: Remote Commitment: 8–20 hours/week Role Responsibilities • Author and review challenging biology and biophysics problems to train and evaluate frontier AI models., • Evaluate model outputs on tasks such as mechanism prediction, experimental design, and literature interpretation., • Identify areas where current models fail, especially mistakes a working PhD would catch., • Collaborate with a small program team and other senior contributors. Qualifications Must-Have • First-author or co-first-author publications in journals like Nature, Science, Cell, PNAS, eLife, NEJM, Nature Methods, Nature Medicine, Nature Biotechnology, Nature Communications, or top specialty journals., • Doctoral or postdoctoral training at a top-20 global institution for life sciences or STEM., • Competitive fellowships such as HHMI, NIH F31/F32/K99, NSF GRFP/PRFB, Damon Runyon, Helen Hay Whitney, Jane Coffin Childs, Searle, Pew, Sloan, Packard, Simons, Fulbright, or equivalent., • Issued patents, spin-out companies, or grants where the contributor was a named PI or co-PI., • Currently or recently in an active research role: PhD candidate, postdoc, instructor, faculty, principal scientist, or industry researcher. Compensation & Legal • W-2 employment with Cincinnatus LLC; payroll, benefits, and compliance handled by Cincinnatus., • No fixed end date; contributors continue as long as the program needs their expertise. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.