Data scientist jobs in Montgomery, NJ

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . 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Adelphi Research | Advanced Market Research Group (AMG) About the Role Adelphi Research is seeking a Research Scientist/Data Scientist to join our Advanced Market Research Group. You'll work directly with the Senior Statistician to execute pharmaceutical market research analytics while also contributing to our growing portfolio of AI-powered research tools. You'll spend significant time doing traditional statistical analysis for client projects (segmentation, conjoint analysis, message testing), but you'll also be a key contributor to building and testing new AI-enhanced methodologies and applications. If you're a strong quantitative researcher who's genuinely curious about AI's potential in market research-and has done some hands-on experimentation-this role offers a unique opportunity to shape the future of pharmaceutical insights. What You'll Do Client Analytics & Research Execution Execute advanced statistical analyses for pharmaceutical market research studies: Segmentation analysis (cluster analysis, latent class) Conjoint analysis (discrete choice, MaxDiff) Message testing and positioning research Key driver analysis and predictive modeling Perform data cleaning, weighting, and quality control for survey data Create professional client deliverables: Simulators in excel and R shiny, PowerPoint, Excel outputs, crosstabs, etc. Support project teams with statistical methodology recommendations Collaborate on study design, questionnaire development, and analytical plans AI Tool Development & Innovation Contribute to building and testing R Shiny applications that enhance our research capabilities Help develop AI-powered qualitative coding tools for open-ended survey responses Test and refine chatbot interfaces that help clients interact with their data Support validation studies for synthetic respondent methodologies (comparing AI-generated data to real respondent data) Integrate LLM APIs into existing workflows where appropriate Experiment with AI applications for research acceleration and automation Document findings, create user guides, and support internal adoption Required Qualifications Core Technical Skills Strong proficiency in R programming, including tidyverse ecosystem (dplyr, ggplot2, tidyr, purr, ellmer, vitals, ragnar) OR strong Python skills (pandas, scikit-learn) with willingness to become proficient in R R Shiny development experience Statistical methods: Applied experience with regression, clustering, factor analysis, conjoint/MaxDiff, or similar techniques Data manipulation: Comfortable working with complex survey data, messy datasets, weighting schemes Some programming experience beyond scripting: You've built something-a dashboard, an analysis pipeline, a tool-not just run one-off analyses AI Experience Evidence of hands-on experimentation with AI tools beyond consumer use. Built a small project using an LLM API (even if just a personal experiment) Created a prototype chatbot or AI-enhanced tool Worked through tutorials and actually implemented something with OpenAI/Anthropic/Google APIs Experimented with prompt engineering in a programmatic way Contributed to an AI-related project at work or school Foundation & Experience Master's degree in Statistics, Data Science, Biostatistics, Economics, or related quantitative field (PhD welcomed but not required) 2-4 years of experience in applied statistics, data science, or market research analytics Experience with survey research methodologies preferred Strong problem-solving skills and attention to detail Excellent communication skills-ability to explain technical concepts to non-technical audiences Comfort juggling multiple projects and shifting priorities Nice-to-Haves (Valued but Not Required) Domain & Methodology Experience in pharmaceutical or healthcare market research Understanding of survey design, sampling, and weighting approaches Familiarity with FDA regulations or pharmaceutical compliance considerations Background in segmentation, conjoint analysis, or MaxDiff studies Technical & Tools R package development or contribution to open-source projects Familiarity with Azure, Google Cloud, or AWS Python + R bilingual coding Exposure to Bayesian methods or probabilistic models Any experience with vector databases, RAG systems, or advanced AI architectures (rare but great if you have it) Experience translating SPSS workflows to R Learning & Development Work directly with Senior Statisticians leading our AI initiatives Exposure to diverse therapeutic areas across major pharmaceutical clients Hands-on experience building production AI tools in a regulated industry Professional development in both traditional research methods and emerging AI capabilities Our Working Environment You'll work directly with the Senior Statisticians and collaborate with: Project teams serving major pharmaceutical clients Data science colleagues across AMG Qualitative researchers and strategic consultants We value intellectual curiosity, pragmatic problem-solving, and a bias toward action. This is a role for someone who's equally comfortable running a factor analysis and experimenting with an LLM API-who sees the value in both rigorous statistical methods and emerging AI capabilities. Tech Stack: R (tidyverse, Shiny, tidymodels), Azure OpenAI APIs, Google Gemini APIs, Posit Connect. Open to strong Python developers willing to become R-proficient. To Apply: Please include any code samples, GitHub links, or portfolio pieces that demonstrate your analytical work. If you've built anything with AI/LLMs (even personal projects or experiments), we'd love to see it. The range below represents the low and high end of the base salary someone in this role may earn as an employee of an Omnicom Health Group company in the United States. Salaries will vary based on various factors including but not limited to professional and academic experience, training, associated responsibilities, and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire. $90,000 - $110,000 Omnicom Health is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice .

Adelphi Research | Advanced Market Research Group (AMG) About the Role Adelphi Research is seeking a Research Scientist/Data Scientist to join our Advanced Market Research Group. You'll work directly with the Senior Statistician to execute pharmaceutical market research analytics while also contributing to our growing portfolio of AI-powered research tools. You'll spend significant time doing traditional statistical analysis for client projects (segmentation, conjoint analysis, message testing), but you'll also be a key contributor to building and testing new AI-enhanced methodologies and applications. If you're a strong quantitative researcher who's genuinely curious about AI's potential in market research-and has done some hands-on experimentation-this role offers a unique opportunity to shape the future of pharmaceutical insights. What You'll Do Client Analytics & Research Execution Execute advanced statistical analyses for pharmaceutical market research studies: Segmentation analysis (cluster analysis, latent class) Conjoint analysis (discrete choice, MaxDiff) Message testing and positioning research Key driver analysis and predictive modeling Perform data cleaning, weighting, and quality control for survey data Create professional client deliverables: Simulators in excel and R shiny, PowerPoint, Excel outputs, crosstabs, etc. Support project teams with statistical methodology recommendations Collaborate on study design, questionnaire development, and analytical plans AI Tool Development & Innovation Contribute to building and testing R Shiny applications that enhance our research capabilities Help develop AI-powered qualitative coding tools for open-ended survey responses Test and refine chatbot interfaces that help clients interact with their data Support validation studies for synthetic respondent methodologies (comparing AI-generated data to real respondent data) Integrate LLM APIs into existing workflows where appropriate Experiment with AI applications for research acceleration and automation Document findings, create user guides, and support internal adoption Required Qualifications Core Technical Skills Strong proficiency in R programming, including tidyverse ecosystem (dplyr, ggplot2, tidyr, purr, ellmer, vitals, ragnar) OR strong Python skills (pandas, scikit-learn) with willingness to become proficient in R R Shiny development experience Statistical methods: Applied experience with regression, clustering, factor analysis, conjoint/MaxDiff, or similar techniques Data manipulation: Comfortable working with complex survey data, messy datasets, weighting schemes Some programming experience beyond scripting: You've built something-a dashboard, an analysis pipeline, a tool-not just run one-off analyses AI Experience Evidence of hands-on experimentation with AI tools beyond consumer use. Built a small project using an LLM API (even if just a personal experiment) Created a prototype chatbot or AI-enhanced tool Worked through tutorials and actually implemented something with OpenAI/Anthropic/Google APIs Experimented with prompt engineering in a programmatic way Contributed to an AI-related project at work or school Foundation & Experience Master's degree in Statistics, Data Science, Biostatistics, Economics, or related quantitative field (PhD welcomed but not required) 2-4 years of experience in applied statistics, data science, or market research analytics Experience with survey research methodologies preferred Strong problem-solving skills and attention to detail Excellent communication skills-ability to explain technical concepts to non-technical audiences Comfort juggling multiple projects and shifting priorities Nice-to-Haves (Valued but Not Required) Domain & Methodology Experience in pharmaceutical or healthcare market research Understanding of survey design, sampling, and weighting approaches Familiarity with FDA regulations or pharmaceutical compliance considerations Background in segmentation, conjoint analysis, or MaxDiff studies Technical & Tools R package development or contribution to open-source projects Familiarity with Azure, Google Cloud, or AWS Python + R bilingual coding Exposure to Bayesian methods or probabilistic models Any experience with vector databases, RAG systems, or advanced AI architectures (rare but great if you have it) Experience translating SPSS workflows to R Learning & Development Work directly with Senior Statisticians leading our AI initiatives Exposure to diverse therapeutic areas across major pharmaceutical clients Hands-on experience building production AI tools in a regulated industry Professional development in both traditional research methods and emerging AI capabilities Our Working Environment You'll work directly with the Senior Statisticians and collaborate with: Project teams serving major pharmaceutical clients Data science colleagues across AMG Qualitative researchers and strategic consultants We value intellectual curiosity, pragmatic problem-solving, and a bias toward action. This is a role for someone who's equally comfortable running a factor analysis and experimenting with an LLM API-who sees the value in both rigorous statistical methods and emerging AI capabilities. Tech Stack: R (tidyverse, Shiny, tidymodels), Azure OpenAI APIs, Google Gemini APIs, Posit Connect. Open to strong Python developers willing to become R-proficient. To Apply: Please include any code samples, GitHub links, or portfolio pieces that demonstrate your analytical work. If you've built anything with AI/LLMs (even personal projects or experiments), we'd love to see it. The range below represents the low and high end of the base salary someone in this role may earn as an employee of an Omnicom Health Group company in the United States. Salaries will vary based on various factors including but not limited to professional and academic experience, training, associated responsibilities, and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire. $90,000 - $110,000 Omnicom Health is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice .

VTS3 is a Veteran-owned and operated company which provides full-service Recruiting, Talent Search, Staffing, and IT Professional Services. For more information visit ************* Job Description We are looking a Data Scientist Consultant in Trenton, NJ. The qualified Data Scientist will be part of our client's Prescription Overdose: Data-Driven Prevention Initiative (DDPI). The successful candidate ideally will have extensive experience working with large public health databases such as hospitalization data, vital records (death records) and prescription monitoring database. The Data Scientist will lead the preparation and consolidation of public health data to identify indicators for the dashboard and perform predictive modeling and analytics. The Data Scientist will work closely with the Departments Healthcare Quality and Informatics team assigned on this project, the Data Architect, and Office of Information Technology Services (HIT) staff. Responsibilities: Research and develop statistical learning models for data analysis Collaborate with HQI and HIT to understand general Department and the specific DDPI project needs and devise possible solutions Keep up-to-date with latest technology trends Communicate results and ideas to key staff in DOH Implement new statistical or other mathematical methodologies as needed for specific models or analyses Optimize joint development efforts through appropriate database use and project design This is an hourly position with opportunity for overtime. **All Candidates Must be Authorized to Legally Work in the US Without Sponsorship** Qualifications • Extensive background in data mining and statistical analysis • Ability to understand various data structures and common methods in data transformation • Excellent pattern recognition and predictive modeling skills • Experience with programming languages such as Java/Python is an asset • HDFS / Data Lake Stores / Analytics • SQL Databases / Warehouses / BISM Stack (SSMS, SSDT, SSIS, SSAS, SSRS) • Analysis Services (Tabular Mode / DAX / Cube concepts) • Experience with modeling and presentation technologies (SQL Server Analysis Services, Reporting Services, MicroStrategy, Business Objects, Cognos, Tableau, PowerBI, others) • Expertise in BI-related data architecture, integration, modeling, and presentation • Understands BI-related features and limitations of common database platforms (SQL Server, Analysis Services, Oracle, DB2, Postgres, others) • Experience with ETL technologies (SQL Server Integration Services, Data Factory) • At least 5-10 years as a data scientist with all of the skills listed above • Bachelor's Degree in Computer Science, Statistics, Applied Math or related field Education Preferred: • Master Degree in Computer Science, Statistics, Applied Math or related field Additional Information $500 Referral Fee Program Earn extra cash while helping your friends! VTS3 will pay you up to $500.00 for each person you refer to us and we place into a contract or full-time position. If you know someone who's a good candidate for any of our openings, use the "Refer a friend" button on this page and earn extra cash. The rules are simple: The referral must be made by using the "Refer a friend" button on this page The person you refer must be placed within 90 days of being referred The person you refer must complete 480 billable hours Cannot be someone we already have on our team or are currently working with VTS3 ONLY works directly with candidates. All candidates registered must be able to legally work in the United States.

We are looking a Data Scientist Consultant in Trenton, NJ. The qualified Data Scientist will be part of our client's Prescription Overdose: Data-Driven Prevention Initiative (DDPI). The successful candidate ideally will have extensive experience working with large public health databases such as hospitalization data, vital records (death records) and prescription monitoring database. The Data Scientist will lead the preparation and consolidation of public health data to identify indicators for the dashboard and perform predictive modeling and analytics. The Data Scientist will work closely with the Departments Healthcare Quality and Informatics team assigned on this project, the Data Architect, and Office of Information Technology Services (HIT) staff. Responsibilities: Research and develop statistical learning models for data analysis Collaborate with HQI and HIT to understand general Department and the specific DDPI project needs and devise possible solutions Keep up-to-date with latest technology trends Communicate results and ideas to key staff in DOH Implement new statistical or other mathematical methodologies as needed for specific models or analyses Optimize joint development efforts through appropriate database use and project design This is an hourly position with opportunity for overtime. **All Candidates Must be Authorized to Legally Work in the US Without Sponsorship** Qualifications • Extensive background in data mining and statistical analysis • Ability to understand various data structures and common methods in data transformation • Excellent pattern recognition and predictive modeling skills • Experience with programming languages such as Java/Python is an asset • HDFS / Data Lake Stores / Analytics • SQL Databases / Warehouses / BISM Stack (SSMS, SSDT, SSIS, SSAS, SSRS) • Analysis Services (Tabular Mode / DAX / Cube concepts) • Experience with modeling and presentation technologies (SQL Server Analysis Services, Reporting Services, MicroStrategy, Business Objects, Cognos, Tableau, PowerBI, others) • Expertise in BI-related data architecture, integration, modeling, and presentation • Understands BI-related features and limitations of common database platforms (SQL Server, Analysis Services, Oracle, DB2, Postgres, others) • Experience with ETL technologies (SQL Server Integration Services, Data Factory) • At least 5-10 years as a data scientist with all of the skills listed above • Bachelor's Degree in Computer Science, Statistics, Applied Math or related field Education Preferred: • Master Degree in Computer Science, Statistics, Applied Math or related field Additional Information $500 Referral Fee Program Earn extra cash while helping your friends! VTS3 will pay you up to $500.00 for each person you refer to us and we place into a contract or full-time position. If you know someone who's a good candidate for any of our openings, use the "Refer a friend" button on this page and earn extra cash. The rules are simple: The referral must be made by using the "Refer a friend" button on this page The person you refer must be placed within 90 days of being referred The person you refer must complete 480 billable hours Cannot be someone we already have on our team or are currently working with VTS3 ONLY works directly with candidates. All candidates registered must be able to legally work in the United States.

Mirage is the leading AI short-form video company. We're building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage's products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you'll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny's Podcast Forbes AI 50 Fast Company Our Investors We're very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us About the Role: As a member of our Data Science staff, you'll own end-to-end measurement by defining north-star metrics, architecting rigorous experiments, and converting insights into roadmap-shaping decisions. You'll partner with Product, Design, and Engineering to elevate instrumentation and data quality and deliver quantified recommendations that improve activation, engagement, retention, and revenue. Key Responsibilities: * Lead analysis and exploration to uncover trends in product and user behavior and prioritize the highest leverage opportunities * Design and evaluate rigorous A/B tests and set success criteria and power and guardrails and deliver clear post experiment readouts * Collaborate with cross functional leaders to define core metrics and establish data driven goals for product experimentation * Develop and maintain analytical models and reproducible pipelines that support full funnel analytics * Apply statistical techniques to identify patterns and opportunities in large datasets and quantify expected impact and risk * Create executive ready visualizations and dashboards that drive alignment and action among stakeholders * Embed with designers and engineers to guide instrumentation and ensure data informed decisions throughout the product lifecycle * Provide recommendations to improve user experience and conversion and overall product performance and track realized impact * Stay current on industry trends and emerging technologies in analytics and introduce pragmatic improvements to tools and methods Requirements: * 5+ years as a data scientist or in a similar role with a focus on product analytics * High proficiency in SQL and either Python or R for data manipulation, analysis, and modeling * Expertise in statistical analysis, hypothesis testing, and experimental design for A/B testing and product experimentation * In-depth knowledge of data visualization tools and techniques to effectively communicate insights and storytelling * Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable recommendations * Strong written and verbal communication skills and the ability to partner with cross-functional teams to build a great business Bonus Points: * Master's or PhD in a quantitative field (Statistics, Mathematics, Computer Science, or related) * Full-funnel analytics experience, including data collection, cleaning, transformation, analysis, and performance measurement * Familiarity with modern data warehousing and large-scale data processing; comfortable working with very large datasets and distributed computing frameworks Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only.

Work Arrangement: Hybrid (3 days onsite, 2 days remote) Employment Type: Full-time (W2 only - No C2C or 1099) Experience Required: 7+ years We are seeking a highly skilled Data Scientist with a strong background in machine learning, data modeling, and statistical analysis. The ideal candidate will have at least 7 years of hands-on experience in designing, developing, and deploying ML models, preferably in a risk-related or financial services environment. This role will support data-driven decision-making processes and help deliver innovative AI/ML solutions in a collaborative and high-performance team setting. Develop, validate, and implement machine learning and statistical models. Work with large-scale datasets to extract actionable insights. Collaborate with cross-functional teams including data engineering, product, and risk teams. Analyze and interpret the results of model performance and deliver recommendations. Stay current with emerging trends and tools in AI/ML and model risk management. Must-Have Skills: 7+ years of experience in Data Science or a related field. Proficiency in Python for data analysis, modeling, and ML development. Strong understanding of machine learning algorithms and statistical modeling. Hands-on experience with data visualization and analytical tools. Excellent problem-solving and communication skills. Good to Have: Experience in Model Risk Development related to ML or LLMs (Large Language Models). Financial services or risk modeling background.Candidate Requirements: Local to or willing to commute to Pennington, NJ. W2 candidates only - no third-party or C2C engagements. Authorized to work in the United States without sponsorship. TopTech Talent is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. 🚫 Third-party recruiters, please do not reach out for this role.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at ******************* Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: New Brunswick, New Jersey, United States of America Job Description: We are searching for the best talent for Senior Data Scientist, Accounting and ERP to be in New Brunswick, NJ. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at *******************/innovative-medicine Purpose: As a Senior Data Scientist in Global Finance Data Science Team, you will be responsible for delivering data science production processes to a high standard, contributing to products that are consumed and scrutinized by senior leadership. You will work in a global team of Data Scientists, Data Engineers and Machine Learning Engineers to advance data science/AI roadmap for J&J's Global Finance function. You will help deliver value-added insights and analytics to our finance and business leaders, reduce manual workload through automation, and enhance user-experience. Project focus areas will include the application of Machine Learning and Generative AI to technical accounting use cases, and using data from SAP Hana, Datahub and Datasphere. This includes aligning finance and business needs, input data validations from different source systems, data reconciliation/validations and work on other ongoing enhancements/ad-hoc requests from leadership etc. You will aid data science projects across their lifecycle: Design/ proof-of-concept (PoC), development, data pipelines and engineering, deployment, adoption by end-users and ongoing enhancements. The capabilities developed will include predictive, Gen AI, descriptive analytics, data visualization and decision support. You will need to ensure that PoC's are put into production-grade with correct amount of automation, data validations and systems/process integration. This role will involve understanding the needs of business stakeholders and advocating the merits of data-driven analytics to provide viable solutions. You will be responsible for: Develop data science solutions based on the needs of business/ finance stakeholders. Build and adjust data engineering pipelines for large datasets from finance/ERP systems and automate data science processes. Understanding the nuances of accounting and finance data so this can be appropriately applied in Machine Learning and AI models. Iteratively improve the process and models to solve problems, testing and documenting changes, aligning changes within the team. Develop and deploy data science and AI solutions, including data processing, algorithm development, data visualization, and communication of insights to stakeholders. Research and implement statistical and machine learning models, monitor model performance, and continuously improve existing models. Collaborate with finance, commercial leaders, technology teams, and external partners to deliver end-to- end solutions, ensuring compliance and risk management. Experienced using accounting data within SAP data tables, understanding the contents of tables and how they are used within the accounting process. Knowledge of Python programming and Data Science Cloud platforms like AWS, Databricks, and Domino. Able to work independently and under time pressure to deliver a process, investigating and solving data issues in an explainable way. Skilled in data visualization and dashboarding using Tableau or PowerBI. Knowledgeable in advanced statistical techniques and concepts, such as regression, properties of distributions, and statistical tests. Experience of end-to-end production deployment, from concept to production-grade models, and experienced with Gen AI technologies like AWS Bedrock, Azure OpenAI service, and Joule. Familiar with automated workflow tools like Alteryx and workflow orchestration tools like Airflow, as well as standards and best practices for technical documentation using tools like JIRA and Confluence. Strong data analytics skills, attention to detail with business/finance logics, and experience working across multiple levels of stakeholders to create context around key business drivers. Qualifications / Requirements: Minimum of 5 years of Data Science/ AI experience in an industry setting, preferably in a Finance or Healthcare setting. Alternatively: 5+ years accounting experience with intensive use advanced analytics and data handling techniques. Minimum of Bachelors degree required, within Science, Economics, Business Analytics, Data Science, Finance, Computer Science, Engineering or any other quantitative or STEM discipline. Master's degree in a relevant field preferred. Other: Located in New Brunswick, NJ with up to 5% travel. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via *******************/contact-us/careers . Internal employees contact AskGS to be directed to your accommodation resource. #JNJDataScience Required Skills: Preferred Skills: The anticipated base pay range for this position is : The anticipated base pay range for this position is $147,000 to $169,050 USD Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation -120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year Holiday pay, including Floating Holidays -13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave - 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave - 10 days Volunteer Leave - 4 days Military Spouse Time-Off - 80 hours Additional information can be found through the link below. *********************************************

About Summit: Summit Therapeutics Inc. is a biopharmaceutical oncology company with a mission focused on improving quality of life, increasing potential duration of life, and resolving serious unmet medical needs. At Summit, we believe in building a team of world class professionals who are passionate about this mission, and it is our people who drive this mission to reality. Summit s core values include integrity, passion for excellence, purposeful urgency, collaboration, and our commitment to people. Our employees are truly the heart and soul of our culture, and they are invaluable in shaping our journey toward excellence. Summit s team is inspired to touch and help change lives through Summit s clinical studies in the field of oncology. Summit has multiple global Phase 3 clinical studies, including: Non-small Cell Lung Cancer (NSCLC) HARMONi: Phase 3 clinical study which was intended to evaluate ivonescimab combined with chemotherapy compared to placebo plus chemotherapy in patients with EGFR-mutated, locally advanced or metastatic non-squamous NSCLC who were previously treated with a 3rd generation EGFR TKI. HARMONi-3: Phase 3 clinical study which is intended to evaluate ivonescimab combined with chemotherapy compared to pembrolizumab combined with chemotherapy in patients with first-line metastatic NSCLC. HARMONi-7: Phase 3 clinical study which is intended to evaluate ivonescimab monotherapy compared to pembrolizumab monotherapy in patients with first-line metastatic NSCLC. Colorectal Cancer (CRC) HARMONi-GI3: Phase 3 clinical study intended to evaluate ivonescimab in combination with chemotherapy compared with bevacizumab plus chemotherapy. Ivonescimab is an investigational therapy not presently approved by any regulatory authority other than China s National Medical Products Administration (NMPA). Summit is headquartered in Miami, Florida, and has additional offices in California, New Jersey, the UK, and Ireland. Overview of Role: The Senior Manager, Data Scientist role is part of the Commercial Operations team supporting the U.S. Business Unit which includes, but is not limited to, Sales, Marketing, and Market Access. This team enables key business functions and strategic initiatives through data integration, reporting, and advanced analytics. This position provides a unique opportunity for broad exposure across the U.S. commercial organization by contributing to the development of advanced analytics solutions. A core focus of the role will involve executing analytics on a variety of data sources including patient claims, EDI shipment data, and unstructured datasets as well as supporting future machine learning initiatives. Role and Responsibilities: Design and implement advanced analytical models (e.g., predictive modeling, segmentation, optimization, machine learning) using diverse datasets such as claims, outlet-level sales data, EDI, hub data, real-world data (RWD), specialty pharmacy/distributor data, EMR, and internal commercial datasets. Develop and validate algorithms to identify patient journeys, adherence patterns, and treatment pathways. Contribute to an evolving data science practice, including problem framing, data exploration and preparation, data integration, machine learning model development, and production. Create scoring frameworks (e.g., HCP opportunity models, payer access risk scores, patient conversion likelihood). Build statistical and machine learning models for both proof-of-concept and production environments using Python, R, and SQL. Partner with stakeholders across the U.S. commercial teams to translate business needs into data-driven and machine learning solutions. Communicate advantages, limitations, and implications of analytical approaches to non-technical audiences. Share technical insights and solutions through design reviews, pair programming, code/model reviews, and team knowledge-sharing sessions. Conduct exploratory analysis of new datasets, generate descriptive statistics, identify trends and insights, and propose data engineering opportunities for integration. Utilize one or more commercial or open-source analysis platforms daily (e.g., Jupyter Notebook, RStudio, Posit, Microsoft Azure, Neo4j). All other duties as assigned. Experience, Education and Specialized Knowledge and Skills: Experience in biotech, pharmaceuticals, or life sciences required Bachelor s degree in Data Science, Computer Science, Mathematics, or a related field required; advanced degree preferred. Minimum 5+ years of relevant experience with a bachelor s degree, or 3+ years with a master s degree, contributing to or executing data science projects. Industry experience in customer behavior prediction, customer journey analytics, marketing analytics, or social network analysis is preferred. Demonstrated proficiency in Python and/or R. Strong SQL skills with hands-on experience working with relational databases; experience with graph databases and Cypher is a plus. Familiarity with machine learning and statistical modeling techniques Strong communication and cross-functional collaboration skills Experience developing solutions using text analytics, customer journey analytics, marketing analytics, or recommendation engines. Proven ability to explain statistical and machine learning concepts to business stakeholders in clear and meaningful terms. Knowledge of statistical and data mining techniques such as hierarchical clustering, network analysis, regression, random forests, text mining, NLP, and data visualization. The pay range for this role is $153,000-$180,000 annually. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include bonus, stock, benefits and/or other applicable variable compensation. Summit does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact Summit s Talent Acquisition team at ********************* to obtain prior written authorization before referring any candidates to Summit.

Title: Senior Data Scientist for a Stanford Startup Full Time Job Requirements: A minimum of three years of experience working as a data scientist Experience in working with large data sets Strong experience in machine learning Highly conversant with Bayesian type algorithms, KNN, Neural Networks, SVM, etc Experienced in applying data science techniques on multiple industries and exposure to their sets is necessary Data cleanup, and data massaging experience Hands-on experience with R or Python type languages Any experience in doing well at Kaggle type competitions is a big plus Additional Information All your information will be kept confidential according to EEO guidelines.

· Mine and translate data into meaningful insights and recommendations for the operational and strategic business units · Answer key business questions by using analytical & statistical techniques on data · Drive the collection of new data sources and the refinement of existing data sources · Analyze, interpret & communicate the results of experiments to the business units · Evaluate and modify statistical methodologies, techniques and processes · Work with cross-functional teams on the day-to-day execution of data & analytics projects and initiatives · Produce dynamic data driven analytic solutions to support the strategic goals of the company · Develop process improvements, analytical frameworks, share expertise with others, mentor and continually strive to improve overall contributions to the department Qualifications · A flexible analytic approach that allows for results at varying levels of precision · Strong background in statistical concepts including regression analysis, factoring, clustering, decision trees, A/B testing and experimental design · Experience with various data types (e.g. Relational, unstructured, Hierarchical, etc.) · The ability to communicate complex quantitative analysis in a clear, precise and actionable manner · Possess excellent verbal and written communication skills, attention to details, and the ability to multi-task · Work independently with minimal supervision · Be detail-oriented and comfortable with a fast-paced, structured, retail environment Additional Information Education/Certification: · A minimum Master's degree in Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics or a related field Required Knowledge: · Expert knowledge of SAS and SQL · Expert knowledge of Advance Machine Learning (Deep learning) and Artificial Intelligence (AI) techniques and applications Experience Required: · 5 - 10 years professional experience in solving analytical problems using quantitative approaches All your information will be kept confidential according to EEO guidelines.

Title: Reserving Actuary Reporting to: VP, Reserving About Hippo: Hippo exists to protect the joy of homeownership. We believe that insurance should protect the things you treasure through an intuitive, modern experience. We provide tailored insurance coverage and preventative maintenance plans that keep you protected throughout your homeowner journey. We'll also help you find coverage for everything life brings-from auto to flood-reimagining how you care for your home. About The Role: We are seeking a detail-oriented and analytical actuary to join our reserving team for program business. In this role, you will support the development and maintenance of loss reserve models, ensuring the company's financial stability and compliance with regulatory standards. You will work closely with senior actuaries, finance, and claims teams to analyze trends, evaluate reserve adequacy, and improve actuarial methodologies. What You'll Do: * Collaborate to drive forward the analysis of ultimate losses and loss adjustment expenses across program partners * Coordinate, maintain, and communicate metrics from the loss reserving process to support related disciplines such as Pricing, Underwriting, Reinsurance, and Finance * Support the annual, quarterly, and monthly financial reporting processes across GAAP and STAT entities * Collaborate proactively and independently across functions to drive communication and education around loss ratio performance, emerging issues, and industry results * Perform forensic data analysis to identify any issues with claims data quality * Ownership of reconciling data, setting up data routines, structuring custom reserve reviews, and ensuring the organization has effective tools to evaluate reserves. Drive clear documentation and maintain strong controls for all related processes * Proactively identify opportunities for process and efficiency improvement in department functions with follow-through to implement data driven and automated solutions * Opportunity to innovate reserving models: model building, refitting, or calibration * Support the review of new and existing insurance programs Must Haves: * Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, or a related field * 5+ years in actuarial role including time in property casualty loss reserving * Solid foundation in basic reserving methodologies * Actuarial credentials: ACAS required * Strong research, statistical, analytical, and mathematical skills with the ability to conduct analysis on limited and/or unstructured data * Demonstrated experience presenting to senior leadership and communicating with a large audience across different disciplines * Professional proficiency in SQL, Excel, and Python is required * Demonstrated project management and ability to deliver under tight timelines * A good understanding of different accounting standards (e.g., US GAAP, US STAT) Nice to Have: * Prior program experience * Experience across many lines of business including Casualty Benefits and Perks Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we're fortunate to provide all of our Hippos with: * Healthy Hippos Benefits - Multiple medical plan options, 100% covered dental and vision for you and your family, and a wellness program that rewards healthy habits. We also offer a 401(k)-retirement plan, short & long-term disability, employer-paid life insurance, Flexible Spending Accounts (FSA) for health and dependent care, and an Employee Assistance Program (EAP) * Equity - This position is eligible for equity compensation * Training and Career Growth - Training and internal career growth opportunities * Flexible Time Off - You know when and how you should recharge * Little Hippos Program - We offer 12 weeks of parental leave for primary and secondary caregivers * Hippo Habitat - Snacks and drinks available for onsite employees The Bedminster, NJ and San Francisco Bay Area base pay range for this role is $125,000 - $175,000. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, location, business needs and market demands. Hippo is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion. Hippo's applicants are considered solely based on their qualifications, without regard to an applicant's disability or need for accommodation. Any Hippo applicant who requires reasonable accommodations during the application process should contact the Hippo's People Team to make the need for an accommodation known.

**This role is based remotely but if you live within a 50-mile radius of an office [Atlanta, Austin, Detroit, Warren, or Mountain View], you are expected to report to that location three times a week, at minimum** . **The Role** The Senior Data Scientist is an internal expert on methodology and practice of marketing analytics. This individual has deep technical expertise in Media Mix Modeling (MMM), with hands-on experience developing custom econometrics and statistical models that quantify media impacts and optimize market investment. The Data Scientist has expertise in the economics of media channels (e.g., Linear/Addressable TV, Online Display, Paid Search, Social), measurement of ROAS lift, coordination of media tactics (sequencing/ frequency caps), and insourcing of off-the-shelf MMM solutions. This person will work closely with GM brand stakeholders to ensure business acceptance of proposed methods, objective performance evaluation, and effective media activation that drives sales. This person will be responsible for developing Media Mix Models, drawing insights, and creating scalable products that identify channel and tactic level high return on investment. Fully qualified individual contributor who has knowledge and understanding of all aspects of a function and exercises independent discretion and judgment on significant matters based on professional knowledge. Level most professionals can expect to achieve in their career. EXPERTISE + Recognized as a fully qualified, experienced professional. Has complete knowledge and full understanding of own area and broad knowledge of related areas. + Takes broad challenges and, through independent professionally developed analysis, identifies and analyses options, and breaks them down into initiatives capable of implementation. Identifies opportunities and proposes solutions to improve internal processes, services, and structures to support functional strategies. + Uses advanced analytical and problem-solving techniques to resolve a wide range of non-standard problems. + Works independently; receives minimal guidance. Acts as a resource for colleagues with less experience. COMPLEXITY + Identifies and devises solutions based on limited information and precedent. Uses evaluation and judgement to solve problems that are new to the organization and require a deep level of experience and strategic thought to create a solution. + Enhances relationships and networks with senior internal/external partners who are not familiar with subject matter and often require persuasion. Uses data and analysis to demonstrate the value of a project, anticipating, and addressing objections and or concerns. + Often effects change in broader functional area without direct exercise of command, using persuasion in situations where reaching agreement may be hindered by differing opinions, past practices, or experiences. SCOPE AND IMPACT + Challenges and problems are of a diverse scope with multiple moving parts, where developing a plan and viewing the whole picture is a significant challenge itself. Work is done independently and is reviewed at critical points. + Owns the development and delivery of solutions, driving cross team and group efforts. Leads by example, taking responsibility for their own actions, acknowledging mistakes, and holding themselves accountable for achieving goals. Addresses and evaluates a diverse range of issues using innovative methods and proposing alternative approaches. + Serves as a mentor to more junior level employees, providing coaching and guidance on difficult issues. + Has significant operational impact across their function. **What You'll Do** + Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units + Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems: + Create breakthrough solutions, performing exploratory and targeted data analyses + Undertake preprocessing of structured and unstructured data + Monitor and sustain model effectiveness + Present complex information using data visualization techniques + Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing + Identify long-term technical innovations while continuously improving execution efficiency + Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement. + Deep knowledge of marketing media modeling techniques, including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms. + Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact. + Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive. + Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff. **Your Skills & Abilities (Required Qualifications)** + Minimum five years of experience developing, deploying, and monitoring performance of media mix or related models + Proficient writing Python/R (modeling) and SQL/Spark (data), working with PYMC, StatsModels, Spark/ML, sklearn, numpy and related packages + Desired expertise media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, item response theory, latent class regression + Prior experience with paid, earned, and owned media + Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality **What Can Give You a Competitive Advantage (Preferred Qualifications)** + Advanced degree (M.A./Ph.D. preferred) in Marketing Data Science, Econometrics, Operations Research, Psychometrics, Finance, (Bio) Statistics, or another quantitative field This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. Compensation: + The expected base compensation for this role is: $130,800 - $211,200. Actual base compensation within the identified range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Data ScientistPrimary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Specialization Data Science Advanced: Data Specialist Job requirements JD: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. ________________________________________ Key Responsibilities: 1. Architecting & Scaling Agentic AI Solutions o Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. o Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. o Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. • Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. • Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research • Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. • Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. • Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact • Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. • Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 12/02/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Data-Core Systems, Inc. is a provider of information technology, consulting and business process services. We offer breakthrough tech solutions and have worked with companies, hospitals, universities and government organizations. A proven partner with a passion for client satisfaction, we combine technology innovation, business process expertise and a global, collaborative workforce that exemplifies the future of work. For more information about Data-Core Systems, Inc., please visit ***************************** Our client is a roadway system and as a part of their digital transformation they are implementing a solution based on SAP BRIM & Microsoft Dynamics CE. Data-Core Systems Inc. is seeking Microsoft Dynamics 365 CE Data Migration Consultant to be a part of our Consulting team. You will be responsible for planning, designing, and executing the migration of customer, account, vehicle, financial, and transaction data from a variety of source systems-including legacy CRMs, ERPs, SQL databases, flat files, Excel, cloud platforms, and tolling systems-into Microsoft Dynamics 365 Customer Engagement (CE). This role involves understanding complex data models, extracting structured and unstructured data, transforming and mapping it to Dynamics CE entities, and ensuring data quality, integrity, and reconciliation throughout the migration lifecycle. Roles & Responsibilities: Analyze source system data structures, including customer profiles, accounts, vehicles, transponders, payment methods, transactions, violations, invoices, and billing records Identify critical data relationships, parent/child hierarchies, and foreign key dependencies Develop detailed data mapping and transformation documentation from source systems to Dynamics 365 CE entities (standard and custom) Build, test, and execute ETL pipelines using tools such as SSIS/KingswaySoft, Azure Data Factory, Power Platform Dataflows, or custom .NET utilities Perform data cleansing, normalization, deduplication, and standardization to meet Dynamics CE data model requirements Execute multiple migration cycles, including test loads, validation, and final production migration Ensure referential integrity, high data quality, and accuracy of historical data Generate reconciliation reports, resolve data inconsistencies, and troubleshoot migration errors Document migration strategies, execution runbooks, and transformation rules for future reference Required Skills & Experience: 8-12 years of proven experience migrating data from tolling systems, transportation platforms, legacy CRMs, or other high-volume transactional systems Strong SQL skills for complex queries, stored procedures, data transformation, and data validation Hands-on experience with Microsoft Dynamics 365 CE / CRM data model, entities, and relationships Proficiency with ETL/migration tools: SSIS with KingswaySoft, Azure Data Factory, Power Platform Dataflows, Custom C#/.NET migration scripts Experience with large-scale migrations involving millions of records Strong understanding of relational data structures such as: Customer ⇄ Account ⇄ Vehicle ⇄ Transponder ⇄ Transaction Ability to analyze large datasets, identify anomalies, and resolve inconsistencies Bachelor's degree in engineering or a bachelor's degree in technology from a recognized university Preferred Skills & Experience: Experience with financial transactions, billing data, or violation/enforcement records. Experience in enterprise-scale Dynamics 365 CE migrations. Familiarity with data governance, security, and compliance requirements for financial or transportation data. Knowledge of historical data migration and archival strategies. We are an equal opportunity employer.

Mirage is the leading AI short-form video company. We're building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage's products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you'll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny's Podcast Forbes AI 50 Fast Company Our Investors We're very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us About the Role We're looking for a Data Scientist to help power our marketing strategy. In this role, you'll partner with Marketing, Product, and Finance to improve acquisition performance, refine attribution, and build the measurement foundations that guide our company's growth. As the first Data Scientist dedicated to marketing analytics, you will define core success metrics, evaluate funnel performance, and uncover insights that shape our go-to-market strategy. Key Responsibilities * Analyze acquisition, lifecycle, and overall marketing performance to surface trends, identify funnel gaps, and highlight opportunities to improve efficiency and customer value. * Build and maintain predictive models that support forecasting, customer understanding, targeting, and personalization. * Develop and improve marketing measurement frameworks to better understand channel impact, attribution, and drivers of growth. * Conduct deep analyses of customer behavior, segments, and retention patterns to inform marketing and product strategy. * Design, run, and evaluate experiments (e.g., A/B tests) to measure the impact of marketing initiatives and guide decision-making. * Assess multi-channel campaign performance and provide clear recommendations to marketing partners to improve outcomes. * Work closely with cross functional teams and leadership to enhance data quality, evolve marketing datasets, and support scalable analytical workflows. * Communicate insights clearly and effectively, turning complex analyses into actionable recommendations for leadership and cross-functional teams. Requirements * Minimum of 5 years of experience in data science, marketing data science, or growth analytics within B2C, B2B, e-commerce, or SaaS environments. * Advanced proficiency in SQL and Python, including experience with data manipulation libraries and statistical modeling. * Hands-on experience with modern cloud data warehouses (e.g., BigQuery) and building scalable data models or pipelines for analytics. * Strong understanding of marketing measurement, including CAC, CLV, ROAS, funnel analytics, incrementality testing, and attribution methods (MMM, MTA, SKAN). * Experience with predictive modeling, such as LTV, churn, conversion propensity, clustering, and time-series forecasting. * Familiarity with mobile measurement partners, including AppsFlyer or Adjust, and mobile attribution concepts. * Experience designing and evaluating experiments, with a solid grounding in statistical testing, causal inference, and uplift modeling. * Demonstrated ability to work cross-functionally, partnering with Marketing, Product, Finance, and Data Engineering stakeholders. * Exceptional analytical and problem-solving skills, with the ability to break down ambiguous problems and operate autonomously in fast-paced environments. * Clear and effective communication skills, with the ability to convey complex technical insights to non-technical audiences. Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only.

Job Description About Summit: Summit Therapeutics Inc. is a biopharmaceutical oncology company with a mission focused on improving quality of life, increasing potential duration of life, and resolving serious unmet medical needs. At Summit, we believe in building a team of world class professionals who are passionate about this mission, and it is our people who drive this mission to reality. Summit's core values include integrity, passion for excellence, purposeful urgency, collaboration, and our commitment to people. Our employees are truly the heart and soul of our culture, and they are invaluable in shaping our journey toward excellence. Summit's team is inspired to touch and help change lives through Summit's clinical studies in the field of oncology. Summit has multiple global Phase 3 clinical studies, including: Non-small Cell Lung Cancer (NSCLC) HARMONi: Phase 3 clinical study which was intended to evaluate ivonescimab combined with chemotherapy compared to placebo plus chemotherapy in patients with EGFR-mutated, locally advanced or metastatic non-squamous NSCLC who were previously treated with a 3rd generation EGFR TKI. HARMONi-3: Phase 3 clinical study which is intended to evaluate ivonescimab combined with chemotherapy compared to pembrolizumab combined with chemotherapy in patients with first-line metastatic NSCLC. HARMONi-7: Phase 3 clinical study which is intended to evaluate ivonescimab monotherapy compared to pembrolizumab monotherapy in patients with first-line metastatic NSCLC. Colorectal Cancer (CRC) HARMONi-GI3: Phase 3 clinical study intended to evaluate ivonescimab in combination with chemotherapy compared with bevacizumab plus chemotherapy. Ivonescimab is an investigational therapy not presently approved by any regulatory authority other than China's National Medical Products Administration (NMPA). Summit is headquartered in Miami, Florida, and has additional offices in California, New Jersey, the UK, and Ireland. Overview of Role: The Senior Manager, Data Scientist role is part of the Commercial Operations team supporting the U.S. Business Unit-which includes, but is not limited to, Sales, Marketing, and Market Access. This team enables key business functions and strategic initiatives through data integration, reporting, and advanced analytics. This position provides a unique opportunity for broad exposure across the U.S. commercial organization by contributing to the development of advanced analytics solutions. A core focus of the role will involve executing analytics on a variety of data sources-including patient claims, EDI shipment data, and unstructured datasets-as well as supporting future machine learning initiatives. Role and Responsibilities: Design and implement advanced analytical models (e.g., predictive modeling, segmentation, optimization, machine learning) using diverse datasets such as claims, outlet-level sales data, EDI, hub data, real-world data (RWD), specialty pharmacy/distributor data, EMR, and internal commercial datasets. Develop and validate algorithms to identify patient journeys, adherence patterns, and treatment pathways. Contribute to an evolving data science practice, including problem framing, data exploration and preparation, data integration, machine learning model development, and production. Create scoring frameworks (e.g., HCP opportunity models, payer access risk scores, patient conversion likelihood). Build statistical and machine learning models for both proof-of-concept and production environments using Python, R, and SQL. Partner with stakeholders across the U.S. commercial teams to translate business needs into data-driven and machine learning solutions. Communicate advantages, limitations, and implications of analytical approaches to non-technical audiences. Share technical insights and solutions through design reviews, pair programming, code/model reviews, and team knowledge-sharing sessions. Conduct exploratory analysis of new datasets, generate descriptive statistics, identify trends and insights, and propose data engineering opportunities for integration. Utilize one or more commercial or open-source analysis platforms daily (e.g., Jupyter Notebook, RStudio, Posit, Microsoft Azure, Neo4j). All other duties as assigned. Experience, Education and Specialized Knowledge and Skills: Experience in biotech, pharmaceuticals, or life sciences required Bachelor's degree in Data Science, Computer Science, Mathematics, or a related field required; advanced degree preferred. Minimum 5+ years of relevant experience with a bachelor's degree, or 3+ years with a master's degree, contributing to or executing data science projects. Industry experience in customer behavior prediction, customer journey analytics, marketing analytics, or social network analysis is preferred. Demonstrated proficiency in Python and/or R. Strong SQL skills with hands-on experience working with relational databases; experience with graph databases and Cypher is a plus. Familiarity with machine learning and statistical modeling techniques Strong communication and cross-functional collaboration skills Experience developing solutions using text analytics, customer journey analytics, marketing analytics, or recommendation engines. Proven ability to explain statistical and machine learning concepts to business stakeholders in clear and meaningful terms. Knowledge of statistical and data mining techniques such as hierarchical clustering, network analysis, regression, random forests, text mining, NLP, and data visualization. The pay range for this role is $153,000-$180,000 annually. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include bonus, stock, benefits and/or other applicable variable compensation. Summit does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact Summit's Talent Acquisition team at ********************* to obtain prior written authorization before referring any candidates to Summit.

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/15/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************