Trabajos senior scientist en North Bergen, New Jersey - Page 3Crear alertas

Job DescriptionAbout Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.Salary Range: US$ 140,000-190,000/yearRole Overview We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You’ll work across the ML lifecycle—from problem framing and data exploration to model development, evaluation, deployment, and monitoring—often in partnership with client stakeholders and internal delivery teams. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. Key Responsibilities • Problem Framing & Stakeholder Partnership, • Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.)., • Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability)., • Data Analysis & Feature Engineering, • Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses., • Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices., • Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions., • Model Development (Core ML), • Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data)., • Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation., • Build time series models (statistical and ML/DL approaches) and validate with proper backtesting., • Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness., • Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making., • Deep Learning, • Build and train deep learning models using PyTorch or TensorFlow/Keras., • Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design)., • Evaluation, Explainability, and Iteration, • Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports., • Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence., • Productionization & MLOps (Project-Dependent), • Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration., • Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans., • Documentation & Communication, • Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders., • Create documentation and lightweight demos that make results actionable.Success in This Role Looks Like, • You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency)., • Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring., • Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly.Required Qualifications, • 3–8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior)., • Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent)., • Strong SQL skills (joins, window functions, aggregation, performance awareness)., • Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset., • Hands-on experience across multiple model types, including:, • Classification & regression, • Time series forecasting, • Clustering/segmentation, • Experience with deep learning in PyTorch or TensorFlow/Keras., • Strong problem-solving skills: ability to work with ambiguous goals and messy data., • Clear communication skills and ability to translate analysis into decisions.Preferred Qualifications, • Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows)., • Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining)., • Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks)., • Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker)., • Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls)., • Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks), • Databricks certifications (Data Scientist, Data Engineer, or related)Nice-to-Have, • Causal inference experience (e.g., quasi-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests)., • Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products., • Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI-assisted IDEs, code agents, automated testing/refactoring, repo-aware assistants), including strong judgment on quality, security, and maintainability.Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. I0GDC3XJwj

A leading mental health services provider based in New York City is looking for a Senior Actuarial Scientist to develop ROI models for employer and payer populations.

Job DescriptionOur mission: to eliminate every barrier to mental health. At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs. We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers. We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere. 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, • 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, • 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), • 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. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our 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 About Syllo Syllo is on a mission to transform litigation. Our product is an AI-powered litigation workspace that enables lawyers and paralegals to safely harness the power of language models throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. We are a mission-driven venture and recognize the enormous societal benefits that will result from a legal system that works better for everyone. We are seeking a skilled and fast-moving Senior AI Engineer to join our team. This role is focused on the practical application of AI, specifically leveraging Large Language Models (LLMs), to build robust, scalable, and impactful user-facing features. This is an engineering-centric role—you will be an expert at building and integrating production systems, not primarily a research scientist. The Responsibilities • System Design & Implementation: Design and build high-performance, production-level AI-powered features and services, with a focus on reliability and scalability., • Develop robust engineering solutions to mitigate the inherent unreliability of LLMs. This includes implementing effective guardrails, validation pipelines, error handling, caching, and failover/fallback mechanisms to ensure a high-quality user experience even when the model misbehaves., • Focus on optimizing latency, throughput, and cost efficiency for all AI-powered services., • Serve as an engineering expert in integrating models and data feeds with existing business logic and APIs., • Engineering Best Practices & Quality:, • Champion and enforce high standards for code quality, architectural design, and system documentation., • Implement rigorous testing strategies, including unit, integration, and performance testing, to ensure the robustness of AI features before and after deployment., • Participate actively in peer code reviews to maintain a high bar for engineering standards across the team., • Feature Delivery & Ownership:, • Take ownership of the full lifecycle of new AI features, from initial design and prototyping to testing and deployment into the production environment., • Own the end-to-end development of new features, including API design, integration with front-end services, persistent data storage, and comprehensive monitoring/alerting., • Work closely with product managers and other engineers to scope, estimate, and deliver features on a fast iterative cycle., • Pipeline Enhancement: Quickly onboard onto our existing codebase to understand, maintain, and significantly enhance existing data and feature pipelines, improving their efficiency and robustness., • Tooling & Velocity: Embrace and utilize AI-powered developer tools (such as GitHub Copilot) to maximize your efficiency, demonstrate a commitment to continuous learning, and set a high bar for engineering velocity. Qualifications • Deep Engineering Fluency & Quality Focus: Proven ability to build and deploy complex, high-quality software systems with an emphasis on maintainable code, rigorous testing, and engineering best practices., • Python Proficiency: Fluent in Python and its ecosystem for backend services and data processing., • System Design Expertise: Strong grasp of system design principles, including distributed systems and API design., • Demonstrated ability to design scalable distributed systems, including expertise in microservices architecture., • Codebase Agility: Excellent ability to read, understand, and navigate an unfamiliar codebase quickly., • Fast Learner: A demonstrable history of rapidly acquiring new technical skills and applying them to solve business problems. Great to Have • AI/ML Feature Experience: Experience directly building, shipping, and maintaining AI-powered products, agents, or intelligent features in a commercial setting., • LLM/Generative AI Exposure: Familiarity with the unique engineering challenges of integrating Large Language Models into a production environment., • Hands-on experience with LLM operationalization challenges (MLOps for LLMs), including prompt engineering, working with vector databases, RAG systems, or managing context windows., • Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) for deploying and managing services. United States - Remote Pay Range$170,000—$220,000 USD

A leading AI research partner is seeking a Principal Clinical Scientist to bring expertise in clinical trial design and regulatory data interpretation into AI-driven research. This remote position involves designing protocols, auditing clinical trial results, and evaluating AI-generated analyses. Th

A fast-growing healthcare technology company is seeking an exceptional Applied Scientist to develop algorithms that enhance provider selection in healthcare.

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 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 – e.g., answering questions like, how do we know which providers deliver better surgical outcomes or what data concepts do we need to build out to improve our analysis. Your work will directly impact our member recommendations and provider-facing data products. 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 data scientists and clinical experts to shape how we define provider performance metrics, apply statistical rules, and model provider behavior, • 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., • 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.The ideal candidate has:, • 2-5 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, • 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:

A leading talent development group is urgently hiring PhD holders in Materials Science and related fields for research roles, offering both full-time positions and part-time remote opportunities.

Global HR Manager | Talent Acquisition Expert | Organizational Development | Employee Engagement | Career Growth Advocate — Focus on Materials Science — Urgent Hiring – Materials-Related Fields We are urgently recruiting PhD holders in the following areas: Materials Science & Engineering P

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: 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 . 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 .

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 . The R&D Formulation Manager/Principal Scientist will lead the design, development, and implementation of novel formulations and polymer materials for use in medical devices, ensuring all activities meet quality and regulatory standards. This role involves providing expertise in formulation development, building and optimizing internal capabilities to deliver innovative and efficient solutions, and ensuring alignment with the company’s long-term technical vision to create a strong pipeline of customer-focused innovations. Key responsibilities include developing and characterizing formulations, recruiting and onboarding talent, managing technical collaborations with external suppliers and vendors, and integrating formulations into scalable manufacturing processes, whether in-house or through CDMOs. This role operates in a collaborative, cross-functional environment, requiring flexibility, a strong focus on scientific formulation, and a drive to explore new technologies and techniques in pursuit of robust, innovative materials and products. This is a senior technical role overseeing a small team. The R&D Formulation Manager/Principal Scientist is expected to be a subject matter expert in areas including polymer material science, formulation strategies, analytical chemistry, and biomaterial interactions with biological systems. They are responsible for ensuring high standards in research practices. They are responsible for leading the creation of documentation required for regulatory submissions, developing strategies for grants and publications, and securing non-dilutive funding through grant opportunities. They will report to the Vice President Technology. This is a full-time, on-site position, located in Brooklyn, New York. Responsibilities • Lead, staff, and manage formulation development teams and their efforts across multiple parallel product development opportunities, to launch new commercially successful products., • Provide sound scientific leadership, monitoring, and coaching through the initiation, planning and execution their team’s overall activities., • Create and lead experimentation for exploratory and/or product development research with focus on polymeric materials and their use., • Exercise technical judgment in the design, execution, and interpretation of experiments within the scope of project responsibilities and ensure the use of professional concepts to solve complex problems in creative and effective ways, in conformance with scientific methods and procedures., • Lead material/design/process changes through design control process, with well-documented research/analyses., • Review and author protocols and reports including development studies and design verification/validation activities., • Develop and implement investigations into new technologies and capabilities, partnering with business development, that advance research team and company objectives., • Lead efforts in chemical and mechanical property evaluation to assess the desirability of process or formulation changes. Develop test method capabilities to support R&D (exploratory research, product development) and production test requirements., • Develop unique, proprietary (and ideally patentable) intellectual property that yields competitive advantage., • Lead and participate in voice-of-customer (VOC) labs and influence go-to-market strategies., • Interface with customers, suppliers, and internal cross-functional team members to develop specifications and coordinate prototype fabrication., • Work as part of a cross-functional team to develop, verify, and validate product designs through bench, in-vitro, and in-vivo testing and other assessments., • Ensure an effective documentation system is in place and utilized throughout the development process inclusive of R&D lab notebooks, design reviews, test methods, and test reports., • Maintain active dialogue with Regulatory Affairs as subject matter expert on all product design elements/documentation pertaining to research towards FDA/regulated authority submissions,, • Act as research liaison between R&D and Quality Control to define product specifications., • Maintain active dialogue with Manufacturing to ensure successful technology transfer and process development, including the review of research-related documents, • Provide guidance and support to commercial teams, support introduction of new technologies with development of presentations, sales tools, formulations and applications data., • Communicate results to the scientific community via published papers. Present research at academic/industry symposia as an external representative of the company., • Work with company leadership to evaluate existing research practices and contribute to a culture of ethical, high-quality research operations within the organization. Required Qualifications • Master’s degree in Chemistry, Materials Science, Chemical Engineering, Polymer Science, or a closely equivalent discipline., • A minimum of 10 years of research experience in developing and utilizing polymeric materials, biomaterials, or other complex materials toward product/application development and their manufacture, with at least 5 years in a non-academic setting., • A minimum of 2 years of direct management experience., • Adept experimentalist with hands-on research experience with polymers, coagulation chemistry, and materials science of complex systems, including the development of structure-property performance relationships in designing and characterizing these materials., • Demonstrated ability to solve difficult technical problems and deliver practical solutions that meet the application requirements, along with a fundamental understanding of the chemistry that drives the performance required. This includes strong analytical, problem-solving, and decision-making skills with the ability to be observant and to think creatively., • Direct experience in new product development from concept to regulatory approval through launch., • Demonstrated ability to design experiments and analyze data with the use of appropriate quality and statistical methodologies is required., • Excellent verbal and written communication skills, with the ability to lead in a dynamic and collaborative environment is required., • Highly organized and detail-oriented, with the ability to extract key facts from complex information and create/present clear and concise technical documentation is required., • Demonstrated ability to lead and inspire teams and develop and mentor individuals, and allocate resources strategically and according to the portfolio priorities., • Requires strong leadership and organizational skills with a strong attention to detail and multi-tasking skills while simultaneously keeping overall “big picture” view of projects, priorities, and strategies., • Experience working under pressure with tight timelines, with the ability to maintain a sense of priorities, focus, urgency, and delivery., • Strong working knowledge of Microsoft Office., • Legal authorization to work in the United States. Preferred Qualifications • Ph.D. in a relevant discipline is strongly preferred., • Experience developing and commercializing products in a highly regulated environment, • Medical device development experience., • Demonstrated expertise in the use, development, and qualificication of material characterization techniques, including rheological, thermal, mechanical, spectroscopic, microscopic, and other chemical compositional methods., • Strong understanding of medical device regulatory requirements for Class II and III medical devices (e.g., 21 CFR Part 820), cGLP/cGMP, and related standards (e.g., ISO 13485)., • Strong understanding of cGMP, ICH guidelines, • Six sigma green belt or black belt certification., • Experience with executing a grant and publication submission strategy, knowledge of and strong track record with SBIR submissions to multiple agencies, including NIH and DOD is strongly preferred., • Demonstrated experience in Project Management and Product Lifecycle Management practices, and the ability to lead multiple projects simultaneously., • Excellent problem-solving skills and a proactive approach to addressing formulation challenges. 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 BENEFITS • Competitive annual base salary range of $130,000 - $180,000, depending upon 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 Description Capstone Integrated Solutions is a comprehensive services provider. Our team consists of outstanding professionals, highly experienced in designing, building, and supporting retail software. We see ourselves as a build-as-a-service provider who follows a repeatable business pattern that can be applied to a variety of platforms and verticals. Having a culture built on outcomes and delivery at the core of the business, Capstone is providing its customers with a complete suite of services for software development, system analysis, integration, implementation, and support, as well as the option to engage a single team to perform all the services they require. Who You Are and What You'll Do: Capstone Integrated Solutions is looking for a highly motivated and talented Data Scientist. In this role you will support hands-on analysis, data preparation, validation, and feature exploration to enable accurate predictive modeling. This is an execution-focused role ideal for someone who enjoys working closely with large datasets, uncovering patterns, and collaborating with senior data science leadership. Responsibilities: • Support data validation across historical and newly ingested datasets., • Analyze large datasets to identify trends, patterns, and feature relevance., • Assist with data preparation, cleansing, and transformation for modeling., • Collaborate with the Senior Data Scientist on feature understanding and engineering., • Evaluate data across multiple data zones to ensure consistency and accuracy., • Help refine predictive outputs to improve demand and pricing forecasts., • Professional experience as a Data Scientist or Applied Data Analyst., • Strong background in data preparation, validation, and exploratory data analysis (EDA)., • Experience working with historical time-series or pricing/demand datasets., • Proficiency with Python and common data science libraries (Pandas, NumPy, scikit-learn, etc.)., • Ability to collaborate effectively with senior technical leads and stakeholders., • Experience with AWS data services (S3, Glue, Athena, Redshift, SageMaker)., • Exposure to pricing, demand forecasting, or supply chain analytics., • Familiarity with structured PoC or prototype-driven projects., • Strong documentation and communication skills. "Our Culture": At Capstone, the central principles that we all adhere to, and the glue that holds us together, are our keystones. Our four keystones are: • "A Customer Obsessed, Delivery Focused, Culture", • We're driven to exceed our customers' expectations by listening, leading, solving problems, and delivering what we promise, • We aim to be the most dependable and trusted partner serving our customers. TRUST = CONSISTENCY x TIME, • "A Culture of Learning and Sharing", • We value "Lifetime Learners"; those who are hungry, competitive, curious, and self-motivated in their pursuit of knowledge., • Personal and professional growth depends on teamwork and continuous learning. By sharing knowledge, skills, ideas, and effort, we benefit our customers, ourselves, and our communities., • We recognize that the thoughts, feelings, and backgrounds of others are as important as our own. Everyone has something to learn and everyone has something they can teach., • Knowledge and ability are valued. Sharing knowledge and helping others learn new capabilities is valued exponentially., • "A Culture of Growth and Scalability", • Growth comes from not establishing barriers in your role. "Cross functional skill sets are valued and help us deliver to our customers in a truly agile fashion. It comes with understanding that when asked to do something new, you will need support, have questions, and make some mistakes along the way., • The most elegant solution is a simple solution. Simple doesn't mean easy. It's often more difficult to break a complex problem down into simple, scalable terms. We don't appreciate, or value, over architected solutions or superfluous coding., • Time is one of our most precious commodities. Scalability implies being respectful of this and passionate about making the most efficient use of each and every one of our team members time., • "All Work is Strategic", • No matter how small a project or assignment appears, every single engagement is an opportunity for us to prove ourselves, build trust, and develop relationships that last and grow, • Every task, interaction, and commitment matters Job Type: Full-time Short-term contract (month-or two) Benefits: • Remote work Capstone Integrated Solutions is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive and safe environment for all employees. Experience comes in many forms, and we're dedicated to adding new perspectives to the team. We encourage you to apply even if your experience doesn't perfectly align with what we have listed. We look forward to hearing from you. No Agencies Please!

Senior Environmental Professional (Engineer, Geologist, Scientist) C.Male Associates Engineering, Surveying, Architecture, Landscape Architecture & Geology, DPC | Posted Mar 4 | Latham, NY | Full-time | Negotiable | Advanced (5-10 yrs) Are you ready to take your environmental career to the next lev

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We are seeking a highly skilled Machine Learning Scientist to drive the development and translation of cutting-edge ML models that have a direct impact on the care pathway for heart disease diagnosis and prognosis. In this role, you will collaborate with ML scientists, data engineers, biostatisticians, regulatory experts, and senior leadership to understand clinical requirements, develop innovative solutions, and support product development and regulatory approvals. You will also engage in high-impact research collaborations with world-renowned academic and medical institutions. Responsibilities • Research and develop state-of-the-art machine learning models for coronary CT angiography imaging applications., • Conduct rigorous analysis and validation of machine learning algorithms and prototypes., • Explore novel methods for processing and analyzing large, complex medical imaging datasets., • Collaborate with engineering teams to deploy ML algorithms in clinical practice., • Present research findings, insights, and recommendations to internal stakeholders and external collaborators., • Author scientific publications and contribute to patent development., • Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field; OR an M.S. with 5+ years of relevant experience., • Strong theoretical and practical expertise in image science, applied mathematics, machine learning, and deep learning., • Research experience in applying ML and deep learning techniques to medical image processing, including segmentation, registration, classification, reconstruction, and detection., • Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis)., • Proficiency in Python, with experience handling large datasets, implementing ML pipelines, and visualizing analysis results., • Ability to translate complex clinical requirements into machine learning solutions., • Strong critical thinking, problem-solving, and project management skills., • 2+ years of postdoctoral research or industry experience., • Hands-on experience in developing and applying advanced deep learning models, including vision transformers, semi-supervised/self-supervised/unsupervised learning, incremental learning, and continuous learning techniques., • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range., • Base Salary: $186,000 - $212,000 Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. For more information see our Privacy Policy (). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Job Description Alexander Group: Decades of experience growing revenue for global companies Alexander Group provides go-to-market consulting services to marketing, sales, service and talent leaders. With over 40 years of developing practical, executable solutions, we are singularly focused on helping commercial teams unlock their full potential and reach new revenue goals. With a robust network of offices, Alexander Group maximizes growth opportunities for our clients around the globe. Founded in 1985, we’ve served more than 3,000 companies around the world, across all industries. This experience gives us not only a highly sophisticated set of best practices to design go-to-market strategy—we also have a rich repository of industry data that informs all of our recommendations. Our dedication to revenue growth and sales strategy has led to: • More than 70% of our clients being Fortune 500 corporations, • Project work in more than 25 countries, • Extensive industry experience in B2B markets Position Overview: The Associate Commercial Data Scientist will work with multiple teams during their first months of employment, learning from both their direct peers in Alexander Group’s Commercial Analytics practice and from more business-oriented peers in Alexander Group’s general practice. This role will be client-facing. The Associate Commercial Data Scientist will work with project teams to present and interpret statistical analyses in business contexts. The Associate Commercial Data Scientist will be expected to interpret and tune machine learning algorithms, work in big data environments, apply statistical methods to develop robust solutions to client problems, have strong communication skills to communicate project findings to both internal and external stakeholders, and participate in client meetings. The combination of on-going coaching from the Commercial Analytics practice and the ability to engage with senior leadership enables the Associate Commercial Data Scientist to enjoy outstanding professional growth and career opportunities. This role will report to Alexander Group’s leader of Consulting Services. The firm’s culture, built on teamwork and meritocracy, empowers our professionals to support each other in their career development. Responsibilities: • Support teams engaged with big data environments, • Create, apply and interpret advanced statistical & machine learning approaches, • Advise teams with data preparation and model-building best-practices, • Use and develop communication skills to communicate project findings, conclusions and recommendations with your peers and clients, • Participate in client meetings to review and present analytical approaches and interpret results, • Build, rollout, and support the use of automated Alexander Group internal tools for project-related analytics, • Help standardize/consolidate modeling approaches for Alexander Group service offerings, • Support Commercial Analytics practice development (e.g., analytical trainings, new offering development, etc.) Qualifications: • Bachelor’s degree with solid academic achievement, • 1+ years of relevant professional experience, • Coursework in Mathematics, Economics, Data Science, Statistics or Computer Science strongly preferred, • Knowledge of supervised & unsupervised machine learning algorithms for regression/classification, • Proficiency with open-source data science languages like R or Python, • Experience with Data Visualization tools like PowerBI or Tableau, • Moderate to advanced Excel and PowerPoint skills are preferred, • Ability to manage multiple priorities/projects, • Problem solving skills for business problems, • Strong interpersonal and team working skills, • Good communication skills (written and verbal), • Ability to learn quickly and resourcefully, • High degree of motivation, flexibility and creativity, • Positive attitude and strong willingness to learn from mentors and peers, • Ability to travel (sometimes on short notice) Compensation: $90,000-$100,000 base; bonus eligible EEO Employer. Required Work Eligibility: Must be eligible to work in the U.S. at the time of application with no current or future restrictions or sponsorship necessary. TN visa accepted. Company DescriptionAlexander Group: Decades of experience growing revenue for global companies. Alexander Group provides management consulting services to the world’s leading organizations. When clients need to grow revenue, they look to Alexander Group for data-driven insights, actionable recommendations, and most importantly, results. Founded in 1985, we’ve served more than 3,000 industry-leading companies around the world. This experience gives us not only a highly sophisticated set of best practices to grow revenue — we also have a rich repository of industry data that informs all of our recommendations. Our dedication to revenue growth and sales strategy has led to: -More than 70% of our clients being Fortune 500 corporations -Project work in more than 25 countries -Extensive industry experience in B2B marketsAlexander Group: Decades of experience growing revenue for global companies.\r\n\r\nAlexander Group provides management consulting services to the world’s leading organizations. When clients need to grow revenue, they look to Alexander Group for data-driven insights, actionable recommendations, and most importantly, results.\r\n\r\nFounded in 1985, we’ve served more than 3,000 industry-leading companies around the world. This experience gives us not only a highly sophisticated set of best practices to grow revenue — we also have a rich repository of industry data that informs all of our recommendations.\r\n\r\nOur dedication to revenue growth and sales strategy has led to:\r\n\r\n•More than 70% of our clients being Fortune 500 corporations\r\n•Project work in more than 25 countries\r\n•Extensive industry experience in B2B markets

Job DescriptionCompany Description Columbia University's Pre-College Programs offer high-achieving high school students the opportunity to engage in exploratory coursework at the college level, studying alongside peers from around the world. This highly selective program is open to students entering grades 9 and through the summer following their senior year. Job Description Columbia University’s Pre-College Programs for high school students is seeking qualified candidates to develop and teach on-campus courses during Summer ’26. Reporting to the Senior Director of Instruction and Curriculum for Pre-College Programs, Pre-College instructors develop and deliver immersive non-credit courses for high-achieving high school students. They guide and supervise students when classes are in session, and write a holistic evaluation of each course participant after classes conclude. For more information on the program–including course sessions and times–please see here. Course Description Are human rights still relevant in promoting social justice and freedom in the 21st Century? Human rights law and advocacy have been central to international politics since the end of World War II. However, recent rises in authoritarianism and anti-liberal regimes have raised new questions on whether the human rights framework is still capable of addressing injustices in the modern world. This course introduces students to the law and practice of human rights as well as the challenges of enforcing rights in an international environment that has grown increasingly hostile to principles of human dignity and personal freedom. Students review the philosophical foundations of human rights and then examine human rights from two perspectives. First, the legal perspective introduces them to basic principles and rules of international law and the main international organizations and mechanisms designed for promoting and enforcing human rights. Second, they adopt the role of social scientist. We debate evidence on the effectiveness of human rights law and discuss challenges of enforcing rights in an international system in which states are not accountable to a higher authority. Students apply their new knowledge to the problems facing human rights today. Topics may include cultural relativist critiques of human rights as a Western, neo-colonialist institution, challenges from new technologies in state surveillance and autonomous weapons, and existential threats to human populations through climate change and environmental damage. The course includes asynchronous work, which students are expected to complete between class sessions. Course Schedule Session B: July 21 - August 7 -- 11:10am - 1:00pm & 3:10 - 5:00pm Please note: Course(s) and course availability are subject to change. All times shown are Eastern Time (ET). Dates and class times are tentative and subject to change. Responsibilities: * Develop course content, syllabus, lesson plans, and assigned work, in accordance with Pre-College templates and regulations * Lead and attend all class sessions, including escorting students to and from campus for field trips * Establish and maintain a dynamic in-class environment tailored for our high school population * Evaluate student work and write a holistic evaluation of each participant after the course ends * Monitor and address student concerns and inquiries (typical class size is 20-24 students) * Attend and complete all required online trainings Qualifications • Graduate degree or equivalent professional or academic background, • Expertise in the pertinent subject matter, • Aptitude for teaching Additional Information Hiring Salary Range Session B (Campus, 3 Week): $7,000 - $9,000 • Please note your availability to teach the Session B schedule (as well as any information regarding your suitability for the role) in the Message to Hiring Manager field. Please submit a resume inclusive of teaching experience as well as formal teaching evaluations (if available) * Applicants must have U.S. work authorization and will need to be in the U.S. while teaching * Columbia Affiliates: There may be restrictions when hiring individuals who hold a concurrent appointment at Columbia University during the Summer term. Generally, PhD students and Officers of Research are not eligible. Please check with us during the hiring process regarding your eligibility. Please note, Pre-College courses do not count towards the maximum course loads for adjuncts. * Once hired, applicants are required to submit to a third party background check and complete Protection of Minors training in addition to other training(s) mandated by the University and Pre-College Program All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: Mid - Senior Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: 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 clients. About Adidev Technologies Inc. Adidev Technologies,() 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. 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

Job Description Company Overview Mantra Health is an award-winning digital mental health provider on a mission to make evidence-based care more accessible to students. We partner with colleges and universities to offer comprehensive virtual mental health services, including therapy, psychiatry, 24/7 crisis care, emotional wellness coaching, and self-care content. Our technology solutions seamlessly integrate with campus health systems to enhance student well-being and improve graduation rates. Recognized as a leader in digital mental health, Mantra Health was named a Rising Star by the UCSF Digital Health Awards and won Juniper Research's Gold Star for Best Digital Therapeutic Solution. Today, our programs support over 900,000 students across 125+ campuses, including Penn State, MIT, and Miami Dade College. We've raised over $34M from leading investors and we're looking for ambitious, talented, action-oriented individuals to join us in shaping the future of student mental healthcare. Opportunity for Impact Mantra Health is seeking a Senior Data Scientist to help advance Beacon, an intelligence platform designed to improve student well-being, success, and retention. This role sits at the intersection of product, engineering, and strategy—turning complex data into clear, actionable insights that help institutions understand not just what is happening, but what to do next. This is a highly visible, senior individual-contributor role with meaningful ownership and executive exposure. The right candidate brings strong analytical judgment, excellent communication skills, and the ability to translate data into compelling narratives that demonstrate real-world impact and ROI while continuously enhancing Beacon capabilities. What You'll Do • Build Data Products for Population Insights: Design and deliver data products that translate complex data into clear, actionable insights for Care Teams and partnering schools. Focus on population-level insights that support early identification, prioritization, and effective response to student needs., • Develop the Data Platform Across the Care Lifecycle: Build and evolve data infrastructure that supports the full lifecycle—from identifying student needs, to recommending pathways for support, to escalation and follow-up. Partner with engineering to ensure insights are delivered reliably, securely, and at scale., • Validate Impact with Product and Clinical Partners: Work closely with Product and Clinical teams to define success metrics and validate the efficacy of insights, interventions, and workflows. Ensure analytics align with clinical realities, ethical standards, and real-world care delivery., • Adaptable and Pragmatic: You are comfortable navigating ambiguity and evolving priorities. You adapt your approach as new information emerges and focus on practical solutions that balance rigor with speed., • Strong Analytical Judgment: You bring a solid foundation in statistics and applied analytics, with the ability to choose appropriate methods for the problem at hand. You understand concepts such as confidence intervals, bias, and tradeoffs, and apply them thoughtfully in real-world contexts., • Product-Oriented Data Scientist: You have experience working on analytics that directly influence product direction or business decisions. You understand how to define meaningful metrics, evaluate impact, and connect insights to outcomes., • Technically Proficient: You are proficient in Python and SQL and comfortable working with modern data stacks, pipelines, and large datasets. You value clean, well-documented, reproducible work and collaborate effectively with analytics and engineering partners., • Clear Communicator: You can explain complex analytical concepts to non-technical audiences and focus on the "so what." You tell compelling stories with data that resonate with executives, partners, and cross-functional teams., • Professional Experience: 4+ years of experience in data science, analytics, or a related field, including delivering analytics, models, or data products used in production environments., • Domain Experience: Experience working in healthcare, education, fintech, or other regulated or data-sensitive industries. Familiarity with healthcare or education data is a strong plus and will help you ramp more quickly., • Applied Product Analytics: Demonstrated experience applying data science in a product-driven context. You have worked on initiatives that directly informed product direction or business decisions, rather than purely exploratory or academic work., • Technical Proficiency: Strong proficiency in Python and SQL for data analysis. Comfortable working with large datasets, writing complex queries, and using Python-based libraries to clean, analyze, and interpret data., • Statistical Judgment: Solid grounding in statistical analysis and experimental thinking. You can design and evaluate analyses with appropriate rigor and clearly interpret results, balancing precision with practical decision-making., • Communication Skills: Proven ability to communicate insights and analytical concepts to diverse audiences. You can produce clear visualizations or presentations and explain the "so what" to inform decisions at multiple levels of the organization., • Cross-Functional Collaboration: A team-oriented mindset with experience working closely with Product, Engineering, Design, or Clinical partners to deliver shared outcomes., • AI & LLM Experience: Experience applying natural language processing techniques or working with large language models, even in experimental or early production contexts., • Production Analytics or ML Exposure: Experience supporting analytics or machine-learning systems in production, including validation, monitoring, or iteration over time., • Data Visualization & BI Tools: Familiarity with tools such as Looker, Tableau, or similar platforms for communicating trends and insights prior to full productization., • Impactful Opportunity: Your work will directly influence how institutions understand and support student mental health. The insights you deliver can guide real decisions that help students access care sooner and more effectively., • Professional Growth: This is a high-ownership role within a strategic product area. You'll deepen your analytical and technical skills while expanding your product thinking and business impact through close collaboration with senior leaders., • Collaborative Culture: At Mantra, we value empathy, inclusion, and intellectual curiosity. You'll join a mission-driven team that collaborates closely and supports continuous learning., • Career Advancement: As Mantra continues to grow, this role offers opportunities to expand scope and influence over time. We invest in our team's long-term success and support individuals as they take on increasing responsibility. Compensation & Benefits Compensation: $150,000 - $200,000 Pay range may vary by location and is commensurate with experience and market rates. At Mantra, our distributed team is our secret sauce that allows us to support our mission everyday. We're collaborative, empathetic, and curious. We take time to celebrate our wins and learn from our mistakes. Each full-time employee at Mantra enjoys: • Stock Options, • Medical, vision, and dental coverage for employees, spouses, and dependents, • 401(k), • Flexible work location, • Generous PTO, sick days, jury duty days, and bereavement. Three week sabbatical and $3,000 stipend after five years of continuous full-time employment, • Inclusive parental leave, equal for all parents, • $1,000 new-parent mental wellness benefit, • Commuter card, if you commute, • Access to One Medical, • Healthcare & Dependent Care FSA Join us in shaping the future of student mental healthcare through data! If you're excited by the opportunity to build life-changing technology and have the skills and passion to match, we'd love to meet you. Apply today to help us transform mental health support for the next generation. Note: This role is open to candidates based in the United States. We are a remote-friendly team (with a slight preference for New York-based candidates for occasional in-person collaboration). Mantra Health is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Protect Your Information: Mantra Health has been made aware of fraudulent recruitment activities where individuals pose as our hiring team. Please note that all official communications will come from an @mantrahealth.com email address. Click here to learn more.

About Firsthand Firsthand has built the first AI-powered Brand Agent platform, transforming the way marketers and publishers engage consumers through their own AI agents, anywhere online.While most AI applications in marketing and advertising focus on back-office automation, the Firsthand Brand Agen

A health technology company in Jersey City is hiring a Staff or Senior Staff Research Scientist to lead AI/ML and LLM model development.This senior role requires building and optimizing models for clinical data, with responsibilities spanning from research to deployment.Candidates should possess ext

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Run large-scale experiments with access to Spotify’s extensive infrastructure and an audience of more than 700 million monthly active users. Have a direct impact on Spotify’s products, tools, and services, working on projects that influence the entire organization. Learn about life at Spotify Th

At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. Spotify transformed music listening forever when we launched in 2008. Run large‑scale experiments with access to Spotify’s extensive infrastructure and an audience of more th

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Job DescriptionOur Company Arch is a Series B financial technology company that automates the management of private investments, improving access, understanding, and the human experience of investing across asset classes. Private investments such as venture capital, hedge funds, and private equity, make up roughly 25% of the investment universe. Traditionally, investors, advisors, banks, families, and managers track hundreds of investments in complicated spreadsheets, file folders, and busy inboxes. Not only is this tedious and time-consuming, but it is rife with opportunity for manual data entry errors, inconsistent reporting, and lost information. Enter, Arch. Arch delivers standardized data, documents, and insights in a single platform, avoiding the need to chase information across dozens or hundreds of ‘portals’. Our purpose is to save investors’ time while empowering them to make more informed investment decisions, leading to better financial outcomes. We are a fast-growing, dynamic team of 200+, serving over 400 clients, including several of America’s largest banks, families, and financial institutions. We’ve over doubled the size of the company every year since inception and we are looking to hire in all departments as we scale. About the Role We are looking to hire a Senior Manager, Data Operations to lead and scale the data services function within Arch's data organization. In this role, you will lead a team responsible for extracting, analyzing, and delivering data from Arch's platform for business use. You'll formalize processes, establish operational cadences, and build the foundation for a scalable data services function that enables teams across the company to operate more effectively. This role is key to solving the company's most difficult operational data challenges, including problems that don't neatly fall into product or engineering and require strong business judgment to navigate. You will investigate root causes, determine whether solutions are possible, and drive the work through completion. You'll serve as a bridge between technical teams and internal stakeholders, advising on data processes and best practices while ensuring projects move forward and deliver meaningful outcomes. The ideal candidate enjoys solving complex problems, is comfortable operating in ambiguous environments, and takes full ownership of projects from initial idea through delivery. Your responsibilities will include: * Owning and scaling Arch's data services function, including the team responsible for extracting and delivering data from the platform for business use across the organization. * Leading high-impact internal data initiatives that help Arch operate more intelligently, including projecting data volume, building out dashboards, establishing regular reporting cadences, and identifying operational insights. * Driving end-to-end delivery of data projects, from identifying the problem and determining feasibility to building or coordinating the solution and ensuring successful implementation. * Partnering closely with teams across sales, operations, product, engineering, and leadership, acting as both a service organization and a thought partner on how data supports the business. * Serving internal teams as stakeholders by keeping them informed on project progress, timelines, and outcomes. * Managing the team's intake of ad hoc requests, ensuring work is triaged, actioned or escalated appropriately, and completed within SLA. * Supporting data-intensive products and processes by collaborating with clients to procure data, integrating it into the system, and validating output. * Building and scaling the data services team, including managing direct reports, hiring additional team members, and formalizing processes and documentation while maintaining continuity of existing operations. Reach out to us if you: * Have 7+ years of experience in operational or business-focused roles and are deeply curious about how companies actually operate. * Have demonstrated leadership experience, including managing direct reports, building teams, or leading cross-functional initiatives. * Have strong business sense and are an exceptional problem solver who thrives in ambiguous environments. * You don't need to be a pure data scientist or engineer, but you should have strong technical data fluency. Our core stack includes MySQL, Python, Notion, and MS Office / Google Suite. We build dashboarding and reporting tools internally. We're looking for experience with: * SQL (MySQL) or Python (one is sufficient) * Working with large datasets * Data cleaning, transformation, and analysis * Building projections or data models * Measuring and defining operational metrics * Enjoy taking end-to-end ownership of projects and driving them from kickoff through launch. * Have strong written and verbal communication skills and can clearly explain technical issues to non-technical stakeholders. * Are comfortable coordinating across teams and communicating progress clearly with stakeholders. * Thrive in fast-paced, high-stakes environments where priorities shift and new challenges arise frequently. * Are comfortable operating with urgency and delivering high-quality work on tight timelines driven by client SLAs. Bonus points if you: * Have worked with alternative investments, financial data, financial technology, or data delivery platforms. * Have experience in a data analyst, data science, or data operations role. * Have worked with large-scale or complex data systems. * Have experience building predictive models, statistical analysis, or data quality measurement frameworks. * Have experience in consulting or environments where solving open-ended problems was a core part of the role. A Note about us: All of our full-time roles are based onsite at our New York City office, where our team thrives on in-person collaboration and dynamic teamwork. Being onsite daily enables us to build strong connections, collaborate effectively to solve challenges, and foster an engaging environment focused on shipping product and delivering exceptional service to our clients. We encourage applicants currently located in or willing to relocate to the NYC area to join us in this exciting, hands-on workspace. Some perks of working for Arch include: * Strong Team - You’ll be backed by a strong team that consistently exceeds client expectations and ships new products quickly. * Your work is high impact - Being part of a small team means you have real responsibility and impact from day one. You'll be involved in discussions that drive the growth and direction of our platform from the very beginning. * Product Market Fit - We have strong product market fit, exceptionally low churn, and have grown mostly organically through word of mouth. * Team community and camaraderie - We have enormous trust in each other and always do what we can do to support one another. We're always ready to step in to help. * Great office - we’ve invested in a great space for the Arch team to come together, at 18th and Park in Manhattan (the old Buzzfeed / NYT headquarters). * Lunch is on Us - Grab lunch on us while you’re in the office and take a break to laugh, brainstorm, or just hang out with your teammates over a meal. Compensation Range: $145K - $170K

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 Data Scientist II to join our Central Data team. This role will report to the Director, Data Science & Analytics. This role is critical to shaping Garner's Product & Growth strategy - from evaluating the impact of our products to building models that drive engagement. You will collaborate with data, product & engineering to improve the effectiveness of Garner's member facing product – e.g., answering questions like, "what features of our product drive engagement?", "What is the best time of day and channel to outreach to members?", or "What data concepts do we need to build out to improve our understanding of what drives someone to engage with Garner?" Your work will directly impact our member-facing products and inform strategic product decisions. 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: • Identify and measure success of product efforts through goal setting, AB testing, forecasting, and monitoring of key product metrics to understand trends, • Own projects end to end including problem definition, implementation, validation, & iteration, • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions, including AI & machine learning models, • Collaborate cross-functionally with data scientists, product leaders, engineering & operations teams to shape how we define product & member engagement metrics, apply statistical rules, and model member behavior, • Synthesize & present your work to Garner leadership to drive company level decisions, • Contribute to improving data science practices, tooling, and documentationWhat you will bring to the team:, • 2+ 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, • Excellent verbal and written communication skills, with ability to present information and analysis results effectively, • A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders, • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success, ideally in a startup environment 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 $158,000 - $175,000. 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 . 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 .

Job Description Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees 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. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities • Serve as a resource for creating AI agents and RAG databases to solve problems. Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data., • Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources., • Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions., • Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement., • Develop and deploy AI and ML solutions on Google Cloud Platform., • Utilize massive data sources to craft business insights and features for innovative solutions., • 7+ years of overall experience, 4+ years working as a GenAI Data Scientist., • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git, • Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development., • Experience with agents frameworks (preferably Langchain)., • Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc., • Experience with proprietary and/or open source LLMs., • Experience in prompt engineering. This position offers an excellent opportunity for significant career development in a fast-growing and challenging 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.

Job Description Clinical Testing Company seeks Medical Laboratory Scientist who will be responsible for performing routine and non-routine activities pertaining to laboratory testing and the reporting of results. Shift: Sunday - Thursday 3:00 PM - 11:30 PM Will perform moderately difficult to complex tasks and will perform assigned analytical testing procedures in an accurate, precise, and timely manner. JOB RESPONSIBILITIES: • Follow the laboratory's procedures for specimen handling and processing, test analyses, reporting and maintaining records of patient test result;, • Maintain records that demonstrate that proficiency testing samples are tested in the same manner as patient specimens;, • Analyze specimens using approved testing procedures (see department SOPs)., • Review and release test results., • Follow CLIA, HIPAA, OSHA, and safety guidelines as described in their respective guidelines., • Adhere to the laboratory's quality control policies, document all quality control activities, instrument and procedural calibrations and all maintenance performed;, • Follow the laboratory's established policies and procedures whenever test systems are not within the laboratory's established acceptable levels of performance., • Identify problems that may adversely affect test performance or reporting of test results, correct the problems encountered or immediately notify the senior technologist or supervisor., • Document all corrective actions taken when test systems deviate from the laboratory's established performance specifications., • Follow department's procedure in reporting STATS or Critical results to clients., • If applicable, answer questions from customers or other lab personnel., • Maintain complete records of all testing performed on-site., • Maintain general appearance of the department., • Make sure reagents/test kits have received dates, expiration dates, and if applicable opened dates. 15. Review/train on new procedures., • Attend monthly department and any additional training/educational meetings., • Participate in all applicable safety training sessions. Know the location and contents of the safety manual. Know the location/use of all applicable safety equipment., • If needed, participate in government or regulatory agency inspections., • Perform other duties as directed by supervisor. Required Knowledge: • A solid understanding of basic laboratory testing is required for this position. The successful candidate must possess good computer skills and be able to adapt to working in multiple computer systems., • Must have knowledge of QC and QA as well as knowledge of all areas of the laboratory. Education: • BS in Medical Technology preferred; or BS/BA in Chemistry or Biology, or Associates degree in a Laboratory Science or Medical Technology, or, • Previously qualified as a Technologist under 42 CFR 493. 1433 published in March 14, 1990., • Foreign educated candidates must provide a detailed credential evaluation from IERF (International Education Research Foundation)., • United States educated candidates must provide a detailed original transcript., • A successful candidate should possess or be eligible for national certification as an MT / MLT from a recognized organization (ASCP or AMT). Work Experience: • 1 year Clinical experience (high complexity testing) preferred., • Minimum of 1 year of clinical laboratory experience in highly complex testing for those with BS/BA in Chemistry or Biology., • National and State licensure as required. Special Requirements: • Must have the ability to establish work priorities and handle several procedures simultaneously., • Must interact with other departments., • Contact with clients may be required, good customer service skills are important., • Must protect patient confidentiality at all times. Company DescriptionAbout A+ Since being founded in 2002, A+ Consulting has grown at a rapid pace. We provide contract , contract to hire and direct hire solutions for IT, Technical Fields, Administrative and Finance Professionals. Whether you’re a candidate looking for your dream job, or a hiring authority looking for your next top performing employee, contact the experts at A+ Consulting! A+ Consulting holds certifications as a Small Business and Minority Business Enterprise.About A+\r\nSince being founded in 2002, A+ Consulting has grown at a rapid pace. We provide contract , contract to hire and direct hire solutions for IT, Technical Fields, Administrative and Finance Professionals.\r\nWhether you’re a candidate looking for your dream job, or a hiring authority looking for your next top performing employee, contact the experts at A+ Consulting!\r\nA+ Consulting holds certifications as a Small Business and Minority Business Enterprise.

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