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Data Engineer jobs at Zoetis - 93 jobs
Assoc Director, Data Scientist
Gilead Sciences, Inc.
Foster City, CA jobs
At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Gilead's AI Research Center(ARC) is looking for a Principal Data Scientist to spearhead the adoption of AI/ML and transform our clinical development processes. This is a pivotal role where you will provide key thought leadership and drive our strategic vision for advanced analytics, with the goal of optimizing clinical trials, enhancing data-driven decision-making, and providing support for Real-World Evidence (RWE), Clinical Pharmacology, and Biomarkers initiatives. You will be a thought leader in applying AI/ML to real-world clinical challenges, taking deep involvement in all stages of technical development-from coding and configuring compute environments to model evaluation, review, and architecture design. You'll work closely with a variety of cross-functional teams, including architects, data engineers, and product managers, to scope, develop, and operationalize our AI-driven applications, with a specific focus on leveraging AI/ML to advance insights within RWE, Clinical Pharmacology, and Biomarkers. Responsibilities: Innovate and Strategize: Spearhead the strategic vision for leveraging AI/ML within clinical development. You'll partner with cross-functional leaders to identify high-impact opportunities and design innovative solutions that transform how we conduct trials and make data-driven decisions. Lead with Expertise: Guide the full lifecycle of machine learning models from initial concept to real-world application. This includes architecting scalable solutions, hands-on algorithm development, and ensuring models are rigorously evaluated and operationalized for use in RWE, Clinical Pharmacology, and Biomarkers. Mentor and Empower: Act as a force multiplier for our data science team. You'll coach and mentor senior and junior data scientists, fostering a culture of technical excellence and continuous learning. Translate and Execute: Serve as a bridge between technical teams and business stakeholders. You'll translate complex business challenges into precise data science problems and, in a product manager-like role, drive the development of these solutions from proof-of-concept to production. Drive Breakthroughs: Research and develop cutting-edge algorithms to solve critical challenges. This could involve using NLP for patient insights, computer vision for biomarker analysis, or predictive models to optimize trial logistics. You'll be at the forefront of applying these techniques in a biotech context. Build the Foundation: Design and implement the technical and process building blocks needed to scale our AI/ML capabilities. This includes working with IT partners to curate and operationalize the datasets essential for fueling our analytical pipelines. Influence and Advise: Interface directly with internal stakeholders, acting as a trusted advisor to help them understand the potential of advanced analytics and apply data-driven approaches to optimize clinical trial operations. Stay Ahead: Continuously monitor the landscape of machine learning and biopharmaceutical innovation. You'll ensure our team is leveraging the latest state-of-the-art techniques to maintain a competitive edge. Technical Skills: Advanced Model Development & Operationalization: Deep expertise in developing, deploying, and managing complex machine learning and deep learning algorithms at scale. This includes a profound understanding of model evaluation, scoring methodologies, and mitigation of model bias to ensure robust, ethical, and reliable outcomes. Data & Computational Proficiency: Fluent in Python or R and SQL, with hands-on experience in building and optimizing data pipelines for analytical and model development purposes. Cloud-Native AI/ML: Demonstrated experience with Cloud DevOps on AWS as it pertains to the entire data science lifecycle, from data ingestion to model serving and monitoring. Translational Research: Proven ability to translate foundational AI/ML research into functional, production-ready packages and applications that directly support strategic initiatives in areas like RWE, Clinical Pharmacology, and Biomarkers. Basic Qualifications: Doctorate and 5+ years of relevant experience OR Master's and 8+ years of relevant experience OR Bachelor's and 10+ years of relevant experience Preferred Qualifications: Ability to translate stakeholder needs into clear technical requirements, including those related to RWE, Clinical Pharmacology, and Biomarkers. Skill in scoping project requirements and developing timelines. Knowledge of product management principles. Experience with code management using Git. Strong technical documentation skills. Join us at the AI Research Center to shape the future of clinical development with groundbreaking AI/ML solutions, and contribute to advancements in RWE, Clinical Pharmacology, and Biomarkers! The salary range for this position is: Bay Area: $210,375.00 - $272,250.00.Other US Locations: $191,250.00 - $247,500.00. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description Gilead's AI Research Center(ARC) is looking for a Principal Data Scientist to spearhead the adoption of AI/ML and transform our clinical development processes. This is a pivotal role where you will provide key thought leadership and drive our strategic vision for advanced analytics, with the goal of optimizing clinical trials, enhancing data-driven decision-making, and providing support for Real-World Evidence (RWE), Clinical Pharmacology, and Biomarkers initiatives. You will be a thought leader in applying AI/ML to real-world clinical challenges, taking deep involvement in all stages of technical development-from coding and configuring compute environments to model evaluation, review, and architecture design. You'll work closely with a variety of cross-functional teams, including architects, data engineers, and product managers, to scope, develop, and operationalize our AI-driven applications, with a specific focus on leveraging AI/ML to advance insights within RWE, Clinical Pharmacology, and Biomarkers. Responsibilities: Innovate and Strategize: Spearhead the strategic vision for leveraging AI/ML within clinical development. You'll partner with cross-functional leaders to identify high-impact opportunities and design innovative solutions that transform how we conduct trials and make data-driven decisions. Lead with Expertise: Guide the full lifecycle of machine learning models from initial concept to real-world application. This includes architecting scalable solutions, hands-on algorithm development, and ensuring models are rigorously evaluated and operationalized for use in RWE, Clinical Pharmacology, and Biomarkers. Mentor and Empower: Act as a force multiplier for our data science team. You'll coach and mentor senior and junior data scientists, fostering a culture of technical excellence and continuous learning. Translate and Execute: Serve as a bridge between technical teams and business stakeholders. You'll translate complex business challenges into precise data science problems and, in a product manager-like role, drive the development of these solutions from proof-of-concept to production. Drive Breakthroughs: Research and develop cutting-edge algorithms to solve critical challenges. This could involve using NLP for patient insights, computer vision for biomarker analysis, or predictive models to optimize trial logistics. You'll be at the forefront of applying these techniques in a biotech context. Build the Foundation: Design and implement the technical and process building blocks needed to scale our AI/ML capabilities. This includes working with IT partners to curate and operationalize the datasets essential for fueling our analytical pipelines. Influence and Advise: Interface directly with internal stakeholders, acting as a trusted advisor to help them understand the potential of advanced analytics and apply data-driven approaches to optimize clinical trial operations. Stay Ahead: Continuously monitor the landscape of machine learning and biopharmaceutical innovation. You'll ensure our team is leveraging the latest state-of-the-art techniques to maintain a competitive edge. Technical Skills: Advanced Model Development & Operationalization: Deep expertise in developing, deploying, and managing complex machine learning and deep learning algorithms at scale. This includes a profound understanding of model evaluation, scoring methodologies, and mitigation of model bias to ensure robust, ethical, and reliable outcomes. Data & Computational Proficiency: Fluent in Python or R and SQL, with hands-on experience in building and optimizing data pipelines for analytical and model development purposes. Cloud-Native AI/ML: Demonstrated experience with Cloud DevOps on AWS as it pertains to the entire data science lifecycle, from data ingestion to model serving and monitoring. Translational Research: Proven ability to translate foundational AI/ML research into functional, production-ready packages and applications that directly support strategic initiatives in areas like RWE, Clinical Pharmacology, and Biomarkers. Basic Qualifications: Doctorate and 5+ years of relevant experience OR Master's and 8+ years of relevant experience OR Bachelor's and 10+ years of relevant experience Preferred Qualifications: Ability to translate stakeholder needs into clear technical requirements, including those related to RWE, Clinical Pharmacology, and Biomarkers. Skill in scoping project requirements and developing timelines. Knowledge of product management principles. Experience with code management using Git. Strong technical documentation skills. Join us at the AI Research Center to shape the future of clinical development with groundbreaking AI/ML solutions, and contribute to advancements in RWE, Clinical Pharmacology, and Biomarkers! The salary range for this position is: Bay Area: $210,375.00 - $272,250.00.Other US Locations: $191,250.00 - $247,500.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans*. For additional benefits information, visit: ****************************************************************** * Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans. For jobs in the United States: Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex , age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact ApplicantAccommodations@gilead.com for assistance. For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster. NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT PAY TRANSPARENCY NONDISCRIMINATION PROVISION Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team. Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion. For Current Gilead Employees and Contractors: Please apply via the Internal Career Opportunities portal in Workday. Share: Job Requisition ID R0046852 Full Time/Part Time Full-Time Job Level Associate Director Click below to return to the Gilead Careers site Click below to see a list of upcoming events Click below to return to the Kite, a Gilead company Careers site #J-18808-Ljbffr$210.4k-272.3k yearly 23h agoData Scientist, Consultant
Blue Cross and Blue Shield Association
San Diego, CA jobs
Your Role The Advanced Analytics team works in partnership across the entire Blue Shield of CA enterprise to accelerate business outcomes through the application of AI/machine learning, statistical methodologies, or unstructured data analysis techniques to uncover insights, predict behaviors, and ultimately drive automation to create "intelligence at scale". The Data Scientist, Consultant will report to the Director, Advanced Analytics. In this role you will solve problems which range from but are not limited to, text analytics of customer feedback, conversations, and clinical notes, predicting clinical disease progression, understanding the impact of population health programs, clustering member behaviors, creating propensity models, and geospatial analysis of populations to uncover social determinants of health.$102k-145k yearly est. Auto-Apply 30d agoData Scientist, Consultant
Blue Cross and Blue Shield Association
Oakland, CA jobs
Your Role The Advanced Analytics team works in partnership across the entire Blue Shield of CA enterprise to accelerate business outcomes through the application of AI/machine learning, statistical methodologies, or unstructured data analysis techniques to uncover insights, predict behaviors, and ultimately drive automation to create "intelligence at scale". The Data Scientist, Consultant will report to the Director, Advanced Analytics. In this role you will solve problems which range from but are not limited to, text analytics of customer feedback, conversations, and clinical notes, predicting clinical disease progression, understanding the impact of population health programs, clustering member behaviors, creating propensity models, and geospatial analysis of populations to uncover social determinants of health.$123k-171k yearly est. Auto-Apply 30d agoData Management Lead
Parexel
Sacramento, CA jobs
**Job Title:** Data Management Lead (Medical Affairs) - Oncology **About Us:** At Parexel, we are dedicated to advancing clinical research and supporting medical affairs with innovative solutions. We are seeking a dynamic and experienced Data Management Lead to join our team. If you have a passion for clinical research, strong project management skills, and a knack for data management, we want to hear from you! **Who You Are:** **Required:** + BS or MS in Life Sciences, Data/Computer Science, OR equivalent industry experience. + 7+ years experience in pharmaceutical/biotech clinical data management / Biometrics (clinical trial data and/or Real World Data) + Medical affairs experience (Phase IIIB - IV trials experience); Late Phase Oncology + Strong project management experience + Demonstrated collaboration and superb communication skills, both written and oral (proficiency in English required). + Proficient in CDISC data standards, ICH-GCP, and working in regulated environments, with a solid understanding of biological principles and scientific curiosity. + Validated project management skills, capable of managing multiple requests and priorities, with proven leadership in decision-making, negotiation, motivation, and influencing. + Experience with data analytics and visualization tools, an entrepreneurial mindset, self-direction, and the ability to mentor others while learning new techniques. + Experience in leading DM study teams, overseeing trial data activities, and collecting clinical trial and/or Real World Data, with a good understanding of molecule and disease area strategies and the healthcare environment. + Ownership and accountability relative to key accountabilities in the job description. + Ability to travel as required. + Written and oral fluency in English. **Preferred:** + Proficiency in programming languages such as SAS, R, Python, and SQL, with experience in advanced analytics approaches (e.g., machine learning, AI). + Proficient with tools for analyzing large data sources with computationally intensive steps (e.g., SQL, parallelization, Hadoop, Spark) and producing interactive outputs (e.g., Shiny, Tableau). + Experience with SDTM implementation, CDISC standards, standardized technologies (e.g., MedDRA, WHODrug), and reproducible research practices like version control and literate programming. + BSN, RN, RPh, Pharm D, PA, MPH, or other applicable health professional credentials, with contributions to open-source packages, libraries, or functions. **What you will be doing:** **Responsibilities will include:** + Develop risk management strategies and proactively manage timel What ines to ensure successful oversight and delivery of studies and projects. + Engage with stakeholders to understand their needs, influence their understanding of decisions, inform them of key deliverables, and adapt to changing milestones. + Partner with relevant functions for external data vendor selection and management, ensuring standards-compliant data transfer agreements and fit-for-purpose data models. + Advise teams and stakeholders on best practices for data collection, propose innovative solutions, and ensure high-quality, compliant data. + Use surveillance tools to review data at an aggregate level, identifying patterns or anomalies to ensure high-quality results. + Organize and integrate data from various sources, maintaining its value through the application of FAIR principles, and support stakeholders' data insight needs from collection to analysis. **Cross-functional Data Management Leadership:** + Manage and coordinate the integration and utilization of all ancillary systems. + Highlight issues/risks to delivery by understanding interdependencies. Define mitigations and drive resolution with cross-functional stakeholders as part of the Risk Management Plan. + Review and analyze metrics to derive meaningful summaries of study health and trends. + Review Master Services Agreements, Service Level Agreements, and contracts to manage toward sponsor-specific metric targets/Key Performance Indicators. + Attend cross-functional meetings, prepare meeting agendas and minutes, and comply with action and decision logs. **Project Financial and Resource Management:** + Ensure appropriate project-level resourcing of staff and staff assignments. + Regularly review and update Data Management resources to ensure alignment with contracted budgets, project resource forecasts, actuals, and demand. + Determine and resolve the root cause of Data Management-related project variances in a timely manner, including negotiating/raising changes in scope. **Company Initiatives:** + Provide Data Management functional input, considering the impact on Data Management and Parexel as a whole. + Support other functions by providing meaningful feedback on initiatives. + Ensure Parexel-requested information entered into management systems is accurate and regularly updated. **Training:** + Maintain training compliance as per job roles assigned, including on-the-job training. + Deliver project-specific training to internal Data Management teams. + Address training needs based on identified development goals. \#LI-REMOTE EEO Disclaimer Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.$126k-165k yearly est. 5d agoAssociate Data Scientist, Taste Ingredient Discovery - San Diego, CA
DSM
San Diego, CA jobs
Associate Scientist Data Science We are seeking a highly skilled data scientist specialized in machine learning, genomics and metabolic modeling applied to ingredient discovery to help discover next-generation taste ingredients. The candidate would join dsm-firmenich's Data Science Ingredient Modeling unit and work with a talented team of data scientists, chemists and biologists mapping our sense of taste. Our team is at the forefront of leveraging protein and molecular AI and bioinformatics applied to taste receptor biology to uncover new possibilities in taste and health for our clients and their customers. This role offers the opportunity to contribute to interdisciplinary science projects that integrate the latest advances in computational biology, data science, AI and receptor science while working in close collaboration with leading domain experts. Your Key Responsibilities: * Use data science, ML/AI, genomics and metabolic modeling to drive a fast-paced ingredient discovery pipeline that generates maximum value for dsm-firmenich's taste, texture and health segments. * Develop and implement accurate bioinformatics- ML/AI based methods to explore biological diversity and the chemical space of natural products for discovery of natural taste ingredients. * Use existing, and generate new, virtual libraries, to assist in silico screening of taste receptors. * Contribute to the development and adoption of best practices and common computational tools by our global community of data scientists and scientists. * Stay up to date on the latest advancements in computational biology, protein and molecular AI and modeling approaches. * Apply modern software development and machine learning tools and practices in your daily work, including a high level of proficiency in python. Familiarity with good use of coding agents preferred. * Team-up with other data scientists and life science experts around the globe to drive project success We Bring: * Opportunity to join a dynamic and thriving team applying ML and other modeling techniques to biology and chemistry. * Highly motivated, professional and committed multicultural and interdisciplinary team. * Opportunity to put your scientific skills into practice with innovations in health, nutrition and beauty. * Grow and develop your skills through our in-house training courses. * Being a part of company shaping a strong legacy heritage through industrial innovations and cutting-edge technology. * A commitment to science-based innovations with 2000 scientists and 700 MM annual S&R investments. You Bring: * Master's degree in Cheminformatics, Bioinformatics, Computer Science, Artificial Intelligence, or a related field. * 3-5 years of additional academic (e.g. PhD studies) or industry work experience in ML/AI and bioinformatics applied to ingredients, or small molecule discovery, ideally in the chemosensory biology field. * Record of accomplishments demonstrating high drive and keen entrepreneurial innovation. * Strong skills in a combination of computational biology, genomics, retrobiosynthesis and metabolic modeling, including hands-on experience with development, deployment and benchmarking of ML/AI based tools applied to those problem fields. * Ideally, understanding of structural and receptor biology, especially chemosensory receptors, including GPCRs and ion channels. * Proficiency in modern ML, python, good code management/version control such as Git, and working with Continuous Integration/Continuous Delivery/Deployment (CI/CD) pipelines. * Excellent problem-solving skills and proven ability to work both independently and collaboratively. * Effective communication and collaboration skills with the ability to convey complex concepts to non-experts. The salary or hourly wage scale provided reflects the pay range dsm-firmenich expects to pay the successful candidate for the position. Individual pay offered will be based on the applicant's job-related skills, experience, relevant education, or training, and primary work location. This position is also eligible for bonuses and benefits, which are not included in the pay scale provided. Salary $97,000 -$139,000. About dsm-firmenich At dsm-firmenich, we don't just meet expectations - we go beyond them. Join our global team powered by science, creativity, and a shared purpose: to bring progress to life. From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions - every single day. Whether it's fragrance that helps you focus, alternative meat that's better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere. And while you're making a difference, we'll make sure you're growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They're essential to our future. Because real progress only happens when we go beyond, together. The application process Interested in this position? Please apply online by uploading your resume in English. Inclusion, belonging and equal opportunity statement At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work - and that's exactly the kind of culture we're building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong. We're proud to be an equal opportunity employer, and we're serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we're committed to reflecting the world we serve. We welcome candidates from all backgrounds - no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you. And if you have a disability or need any support through the application process, we're here to help - just let us know what you need, and we'll do everything we can to make it work. Agency statement We're managing this search directly at dsm-firmenich. If you're applying as an individual, we'd love to hear from you. We're not accepting agency submissions or proposals involving fees or commissions for this role$97k-139k yearly 42d agoData Management Lead
Parexel International
San Francisco, CA jobs
When our values align, there's no limit to what we can achieve. At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do. Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference. Job Title: Data Management Lead (Medical Affairs) - Oncology Location: South San Francisco, CA Hybrid - Must be able to be onsite 3 times a week. About Us: At Parexel, we are dedicated to advancing clinical research and supporting medical affairs with innovative solutions. We are seeking a dynamic and experienced Data Management Lead to join our team. If you have a passion for clinical research, strong project management skills, and a knack for data management, we want to hear from you! Who You Are: Required: BS or MS in Life Sciences, Data/Computer Science, OR equivalent industry experience. 7+ years experience in pharmaceutical/biotech clinical data management / Biometrics (clinical trial data and/or Real World Data) Medical affairs experience (Phase IIIB - IV trials experience); Late Phase Oncology Strong project management experience Demonstrated collaboration and superb communication skills, both written and oral (proficiency in English required). Proficient in CDISC data standards, ICH-GCP, and working in regulated environments, with a solid understanding of biological principles and scientific curiosity. Validated project management skills, capable of managing multiple requests and priorities, with proven leadership in decision-making, negotiation, motivation, and influencing. Experience with data analytics and visualization tools, an entrepreneurial mindset, self-direction, and the ability to mentor others while learning new techniques. Experience in leading DM study teams, overseeing trial data activities, and collecting clinical trial and/or Real World Data, with a good understanding of molecule and disease area strategies and the healthcare environment. Ownership and accountability relative to key accountabilities in the job description. Ability to travel as required. Written and oral fluency in English. Preferred: Proficiency in programming languages such as SAS, R, Python, and SQL, with experience in advanced analytics approaches (e.g., machine learning, AI). Proficient with tools for analyzing large data sources with computationally intensive steps (e.g., SQL, parallelization, Hadoop, Spark) and producing interactive outputs (e.g., Shiny, Tableau). Experience with SDTM implementation, CDISC standards, standardized technologies (e.g., MedDRA, WHODrug), and reproducible research practices like version control and literate programming. BSN, RN, RPh, Pharm D, PA, MPH, or other applicable health professional credentials, with contributions to open-source packages, libraries, or functions. What you will be doing: Responsibilities will include: Develop risk management strategies and proactively manage timel What ines to ensure successful oversight and delivery of studies and projects. Engage with stakeholders to understand their needs, influence their understanding of decisions, inform them of key deliverables, and adapt to changing milestones. Partner with relevant functions for external data vendor selection and management, ensuring standards-compliant data transfer agreements and fit-for-purpose data models. Advise teams and stakeholders on best practices for data collection, propose innovative solutions, and ensure high-quality, compliant data. Use surveillance tools to review data at an aggregate level, identifying patterns or anomalies to ensure high-quality results. Organize and integrate data from various sources, maintaining its value through the application of FAIR principles, and support stakeholders' data insight needs from collection to analysis. Cross-functional Data Management Leadership: Manage and coordinate the integration and utilization of all ancillary systems. Highlight issues/risks to delivery by understanding interdependencies. Define mitigations and drive resolution with cross-functional stakeholders as part of the Risk Management Plan. Review and analyze metrics to derive meaningful summaries of study health and trends. Review Master Services Agreements, Service Level Agreements, and contracts to manage toward sponsor-specific metric targets/Key Performance Indicators. Attend cross-functional meetings, prepare meeting agendas and minutes, and comply with action and decision logs. Project Financial and Resource Management: Ensure appropriate project-level resourcing of staff and staff assignments. Regularly review and update Data Management resources to ensure alignment with contracted budgets, project resource forecasts, actuals, and demand. Determine and resolve the root cause of Data Management-related project variances in a timely manner, including negotiating/raising changes in scope. Company Initiatives: Provide Data Management functional input, considering the impact on Data Management and Parexel as a whole. Support other functions by providing meaningful feedback on initiatives. Ensure Parexel-requested information entered into management systems is accurate and regularly updated. Training: Maintain training compliance as per job roles assigned, including on-the-job training. Deliver project-specific training to internal Data Management teams. Address training needs based on identified development goals. Base Pay Range: $99,000.00 to $180,000.00 yearly Actual salaries may vary within the range based on several factors including, but not limited to education, training, experience, professional achievement, and location. In addition to base salary, some roles may be eligible for participation in Parexel's annual performance-based bonus plan, annual salary review and total rewards incentives. Our talent acquisition team will provide additional details on our bonus plan or incentive programs for those eligible roles. For all eligible employees, we offer market leading benefit programs including paid time off, 401k match, life insurance, health insurance, and other benefit offerings in accordance with the terms of applicable plans. EEO Disclaimer Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.$99k-180k yearly Auto-Apply 6d agoData Scientist
Johnson & Johnson
New Brunswick, NJ jobs
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: 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 We are searching for the best talent for Data Scientist Purpose: As a Data Scientist in Global Finance Data Science Team: You will be contributing to a high standard delivery of data science driven predictive financial statements - consumed by senior leadership. You will work in a global team of Data Scientists, Data Engineers and Machine Learning Engineers to advance the Data Science and AI roadmap for J&J's Global Finance function. You will assist in delivering value-added insights and analytics to our finance and business leaders, reduce manual work through automated reasoning, and enhance user-experience. You will be responsible for: You will mainly focus on advancing and broadening the capabilities of our Predictive Financial Statements, plugging results into SAP Analytics Cloud reporting - where most stakeholders go for corporate internal financial statements. Your job will also include aligning finance and business needs, validation of data from different source systems, and data reconciliation. You will mainly be required to create new models and leverage or extend the use of existing models for other financial statements. You will also enhance existing models for accuracy, speed and cost. You will be involved in data science projects across their lifecycle, from design to production and adoption by end users. This will include creating proof-of-concepts for new project, data science model development, data pipeline development and production deployment. The capabilities developed will include forecasting, descriptive analytics, data visualization, GenAI and decision support. 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: * Adopting a highly successful forecasting processes and technologies and delivering predictive financial statements monthly. * Modeling the impact of future events to enhance forecast accuracy. * Developing data pipelines for large datasets sourced from financial systems and automating data science processes. * Documenting and aligning model changes within the team and stakeholders. * Communicating insights to stakeholders leveraging data visualization tools. * Monitoring model performance, and continuously improving existing models. * Collaborating with finance, commercial leaders, technology teams, and external partners to deliver end-to-end solutions, ensuring compliance and risk management. * Advocating for data-driven insights and data science methods across the organization and managing compliance adherence. Qualifications / Requirements: * Minimum of 2 years of Data Science/ AI experience in an industry setting is required, preferably in a Finance or Healthcare setting. * Minimum of a Bachelors degree is required, preferably in Science, Economics, Business Analytics, Data Science, Finance, Computer Science, Engineering or any other quantitative or STEM discipline. Technical Requirements * Proficient in Python/R/Alteryx programming and experienced with Data Science Cloud platforms like AWS and Databricks or Domino. * Experienced using finance data and SAP HANA data tables is a plus. * Proficient in interpreting data sources and correlating to financial metrics. * Able to work independently and under time pressure to deliver results, investigating and solving data issues in an explainable way. * Skilled in data visualization and dashboarding using Tableau or PowerBI. * Knowledgeable in statistical techniques and concepts, such as regression, properties of distributions, and statistical tests. * Strong data analytics skills and attention to detail. Other: * The position will be located in New Brunswick, NJ and may require up to 10% 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. #LI-Hybrid #JNJDataScience Required Skills: Artificial Intelligence (AI), Python (Programming Language) Preferred Skills: Advanced Analytics, Analytical Reasoning, Business Intelligence (BI), Business Writing, Coaching, Collaborating, Communication, Data Analysis, Data Compilation, Data Privacy Standards, Data Savvy, Data Science, Data Visualization, Econometric Models, Execution Focus, Technical Credibility, Technologically Savvy, Workflow Analysis The anticipated base pay range for this position is : The anticipated base pay range for this position is $89,000 to $143,750 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. *********************************************$89k-143.8k yearly Auto-Apply 4d agoData Scientist
J&J Family of Companies
New Brunswick, NJ jobs
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:** **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 **We are searching for the best talent for Data Scientist** **Purpose:** As a Data Scientist in Global Finance Data Science Team: You will be contributing to a high standard delivery of data science driven predictive financial statements - consumed by senior leadership. You will work in a global team of Data Scientists, Data Engineers and Machine Learning Engineers to advance the Data Science and AI roadmap for J&J's Global Finance function. You will assist in delivering value-added insights and analytics to our finance and business leaders, reduce manual work through automated reasoning, and enhance user-experience. **You will be responsible for:** You will mainly focus on advancing and broadening the capabilities of our Predictive Financial Statements, plugging results into SAP Analytics Cloud reporting - where most stakeholders go for corporate internal financial statements. Your job will also include aligning finance and business needs, validation of data from different source systems, and data reconciliation. You will mainly be required to create new models and leverage or extend the use of existing models for other financial statements. You will also enhance existing models for accuracy, speed and cost. You will be involved in data science projects across their lifecycle, from design to production and adoption by end users. This will include creating proof-of-concepts for new project, data science model development, data pipeline development and production deployment. The capabilities developed will include forecasting, descriptive analytics, data visualization, GenAI and decision support. 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:** + Adopting a highly successful forecasting processes and technologies and delivering predictive financial statements monthly. + Modeling the impact of future events to enhance forecast accuracy. + Developing data pipelines for large datasets sourced from financial systems and automating data science processes. + Documenting and aligning model changes within the team and stakeholders. + Communicating insights to stakeholders leveraging data visualization tools. + Monitoring model performance, and continuously improving existing models. + Collaborating with finance, commercial leaders, technology teams, and external partners to deliver end-to-end solutions, ensuring compliance and risk management. + Advocating for data-driven insights and data science methods across the organization and managing compliance adherence. **Qualifications / Requirements:** + Minimum of 2 years of Data Science/ AI experience in an industry setting is required, preferably in a Finance or Healthcare setting. + Minimum of a Bachelors degree is required, preferably in Science, Economics, Business Analytics, Data Science, Finance, Computer Science, Engineering or any other quantitative or STEM discipline. **Technical Requirements** + Proficient in Python/R/Alteryx programming and experienced with Data Science Cloud platforms like AWS and Databricks or Domino. + Experienced using finance data and SAP HANA data tables is a plus. + Proficient in interpreting data sources and correlating to financial metrics. + Able to work independently and under time pressure to deliver results, investigating and solving data issues in an explainable way. + Skilled in data visualization and dashboarding using Tableau or PowerBI. + Knowledgeable in statistical techniques and concepts, such as regression, properties of distributions, and statistical tests. + Strong data analytics skills and attention to detail. **Other:** + The position will be located in New Brunswick, NJ and may require up to 10% 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. \#LI-Hybrid #JNJDataScience **Required Skills:** Artificial Intelligence (AI), Python (Programming Language) **Preferred Skills:** Advanced Analytics, Analytical Reasoning, Business Intelligence (BI), Business Writing, Coaching, Collaborating, Communication, Data Analysis, Data Compilation, Data Privacy Standards, Data Savvy, Data Science, Data Visualization, Econometric Models, Execution Focus, Technical Credibility, Technologically Savvy, Workflow Analysis **The anticipated base pay range for this position is :** The anticipated base pay range for this position is $89,000 to $143,750 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. *********************************************$89k-143.8k yearly 5d agoData Scientist, Consultant
Blue Cross and Blue Shield Association
Rancho Cordova, CA jobs
Your Role The Advanced Analytics team works in partnership across the entire Blue Shield of CA enterprise to accelerate business outcomes through the application of AI/machine learning, statistical methodologies, or unstructured data analysis techniques to uncover insights, predict behaviors, and ultimately drive automation to create "intelligence at scale". The Data Scientist, Consultant will report to the Director, Advanced Analytics. In this role you will solve problems which range from but are not limited to, text analytics of customer feedback, conversations, and clinical notes, predicting clinical disease progression, understanding the impact of population health programs, clustering member behaviors, creating propensity models, and geospatial analysis of populations to uncover social determinants of health.$123k-171k yearly est. Auto-Apply 30d agoData Scientist, Consultant
Blue Cross and Blue Shield Association
Los Angeles, CA jobs
Your Role The Advanced Analytics team works in partnership across the entire Blue Shield of CA enterprise to accelerate business outcomes through the application of AI/machine learning, statistical methodologies, or unstructured data analysis techniques to uncover insights, predict behaviors, and ultimately drive automation to create "intelligence at scale". The Data Scientist, Consultant will report to the Director, Advanced Analytics. In this role you will solve problems which range from but are not limited to, text analytics of customer feedback, conversations, and clinical notes, predicting clinical disease progression, understanding the impact of population health programs, clustering member behaviors, creating propensity models, and geospatial analysis of populations to uncover social determinants of health.$109k-155k yearly est. Auto-Apply 30d agoData Scientist, Consultant
Blue Cross and Blue Shield Association
Lodi, CA jobs
Your Role The Advanced Analytics team works in partnership across the entire Blue Shield of CA enterprise to accelerate business outcomes through the application of AI/machine learning, statistical methodologies, or unstructured data analysis techniques to uncover insights, predict behaviors, and ultimately drive automation to create "intelligence at scale". The Data Scientist, Consultant will report to the Director, Advanced Analytics. In this role you will solve problems which range from but are not limited to, text analytics of customer feedback, conversations, and clinical notes, predicting clinical disease progression, understanding the impact of population health programs, clustering member behaviors, creating propensity models, and geospatial analysis of populations to uncover social determinants of health.$123k-171k yearly est. Auto-Apply 30d agoData Architect
Sanofi Us
Morristown, NJ jobs
Job title: Data Architect About The Job Ready to push the limits of what's possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world. At Sanofi, we're committed to providing the next-gen healthcare that patients and customers need. It's about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. As a Data Architect at Sanofi, you'll play a pivotal role in driving our Digital transformation through innovative and scalable data architecture solutions. You'll join the Digital Architecture Center of Excellence, Global Functions Architecture team, collaborating with stakeholders in the DDO (Digital Delivery and Operations) and BOT (Business Operations Transformation) Organizations and the Data AI & Governance teams to shape global data strategies and enable data-driven decision-making. As a Data Architect, you are a dynamic leader, looking to shape and drive data architecture on a global Enterprise level. This is your chance to harness cutting-edge tools and techniques to bring the miracles of science to life. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? Main Responsibilities: Evolve and promote our enterprise data model with unified standards, and integration protocols, ensuring scalability and interoperability across the organization Partner with Business Operations Transformation stakeholders to meet functional and analytical requirements. Communicate and socialize the Data Mesh principles, to both technical and business stakeholders, fostering organizational buy-in. undefined Design data-sharing patterns to facilitate efficient, scalable, and flexible data exchange across systems, minimizing dependencies and enabling independent evolution of data-producing and data-consuming applications. Collaborate on implementing data access and data stewardship frameworks that promote transparency, accountability, and adherence to governance policies. Stay informed about advancements in data architecture and decentralized data management, identifying opportunities to enhance the organization's data capabilities. Promote a culture of innovation and continuous improvement in data architecture. About You 7+ years proven experience in enterprise data architecture and engineering. Experience with Snowflake required. Expertise in Data and AI, areas like; Data engineering, Data architecture, Master data management, Data lakes and warehouses, Data visualization, Artificial intelligence and Machine learning. Strong understanding of Data Mesh principles. Understanding of cloud platforms (AWS, Azure) Experience with integration tools (e.g., Informatica), API protocols (REST, GraphQL). Knowledge of governance platforms, metadata management, and data cataloging. Agile methodology experience (Jira, Confluence). Bachelors degree required. Masters preferred. Why Choose Us? Make a significant impact on AI by shaping and driving data architecture at a global enterprise level, supporting our Digital transformation initiative. Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. #GD-SA #LI-SA #LI-Onsite #vhd Pursue progress , discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! US and Puerto Rico Residents Only Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. North America Applicants Only The salary range for this position is: $148,125.00 - $213,958.33 All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK.$148.1k-214k yearly Auto-Apply 42d agoData Architect
Sanofi Group
Morristown, NJ jobs
**Job title:** Data Architect **About The Job** Ready to push the limits of what's possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world. At Sanofi, we're committed to providing the next-gen healthcare that patients and customers need. It's about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. As a **Data Architect** at Sanofi, you'll play a pivotal role in driving our Digital transformation through innovative and scalable data architecture solutions. You'll join the **Digital Architecture Center of Excellence, Global Functions Architecture** team, collaborating with stakeholders in the DDO (Digital Delivery and Operations) and BOT (Business Operations Transformation) Organizations and the Data AI & Governance teams to shape global data strategies and enable data-driven decision-making. As a **Data Architect** , you are a dynamic leader, looking to shape and drive data architecture on a global Enterprise level. This is your chance to harness cutting-edge tools and techniques to bring the miracles of science to life. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? **Main Responsibilities:** + Evolve and promote our enterprise data model with unified standards, and integration protocols, ensuring scalability and interoperability across the organization + Partner with Business Operations Transformation stakeholders to meet functional and analytical requirements. + Communicate and socialize the Data Mesh principles, to both technical and business stakeholders, fostering organizational buy-in. + undefined + Design data-sharing patterns to facilitate efficient, scalable, and flexible data exchange across systems, minimizing dependencies and enabling independent evolution of data-producing and data-consuming applications. + Collaborate on implementing data access and data stewardship frameworks that promote transparency, accountability, and adherence to governance policies. + Stay informed about advancements in data architecture and decentralized data management, identifying opportunities to enhance the organization's data capabilities. + Promote a culture of innovation and continuous improvement in data architecture. **About You** + 7+ years proven experience in enterprise data architecture and engineering. + Experience with Snowflake required. + Expertise in Data and AI, areas like; Data engineering, Data architecture, Master data management, Data lakes and warehouses, + Data visualization, Artificial intelligence and Machine learning. + Strong understanding of Data Mesh principles. + Understanding of cloud platforms (AWS, Azure) + Experience with integration tools (e.g., Informatica), API protocols (REST, GraphQL). + Knowledge of governance platforms, metadata management, and data cataloging. + Agile methodology experience (Jira, Confluence). + Bachelors degree required. Masters preferred. **Why Choose Us?** + Make a significant impact on AI by shaping and driving data architecture at a global enterprise level, supporting our Digital transformation initiative. + Bring the miracles of science to life alongside a supportive, future-focused team. + Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally. + Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. + Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. \#GD-SA \#LI-SA \#LI-Onsite \#vhd **Pursue** **_progress_** **, discover** **_extraordinary_** Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video (************************************************** and check out our Diversity Equity and Inclusion actions at sanofi.com (************************************************************************ ! _US and Puerto Rico Residents Only_ Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. _North America Applicants Only_ The salary range for this position is: $148,125.00 - $213,958.33 All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK (********************************************************************************************************* . Global Terms & Conditions and Data Privacy Statement (*************************************************************** Sanofi is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions. With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Discover more about us visiting ************** or via our movie We are Sanofi (***************************** As an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live. All in for Diversity, Equity and Inclusion at Sanofi - YouTube (************************************************$148.1k-214k yearly 60d+ agoData Management Lead
Parexel
Trenton, NJ jobs
**Job Title:** Data Management Lead (Medical Affairs) - Oncology **About Us:** At Parexel, we are dedicated to advancing clinical research and supporting medical affairs with innovative solutions. We are seeking a dynamic and experienced Data Management Lead to join our team. If you have a passion for clinical research, strong project management skills, and a knack for data management, we want to hear from you! **Who You Are:** **Required:** + BS or MS in Life Sciences, Data/Computer Science, OR equivalent industry experience. + 7+ years experience in pharmaceutical/biotech clinical data management / Biometrics (clinical trial data and/or Real World Data) + Medical affairs experience (Phase IIIB - IV trials experience); Late Phase Oncology + Strong project management experience + Demonstrated collaboration and superb communication skills, both written and oral (proficiency in English required). + Proficient in CDISC data standards, ICH-GCP, and working in regulated environments, with a solid understanding of biological principles and scientific curiosity. + Validated project management skills, capable of managing multiple requests and priorities, with proven leadership in decision-making, negotiation, motivation, and influencing. + Experience with data analytics and visualization tools, an entrepreneurial mindset, self-direction, and the ability to mentor others while learning new techniques. + Experience in leading DM study teams, overseeing trial data activities, and collecting clinical trial and/or Real World Data, with a good understanding of molecule and disease area strategies and the healthcare environment. + Ownership and accountability relative to key accountabilities in the job description. + Ability to travel as required. + Written and oral fluency in English. **Preferred:** + Proficiency in programming languages such as SAS, R, Python, and SQL, with experience in advanced analytics approaches (e.g., machine learning, AI). + Proficient with tools for analyzing large data sources with computationally intensive steps (e.g., SQL, parallelization, Hadoop, Spark) and producing interactive outputs (e.g., Shiny, Tableau). + Experience with SDTM implementation, CDISC standards, standardized technologies (e.g., MedDRA, WHODrug), and reproducible research practices like version control and literate programming. + BSN, RN, RPh, Pharm D, PA, MPH, or other applicable health professional credentials, with contributions to open-source packages, libraries, or functions. **What you will be doing:** **Responsibilities will include:** + Develop risk management strategies and proactively manage timel What ines to ensure successful oversight and delivery of studies and projects. + Engage with stakeholders to understand their needs, influence their understanding of decisions, inform them of key deliverables, and adapt to changing milestones. + Partner with relevant functions for external data vendor selection and management, ensuring standards-compliant data transfer agreements and fit-for-purpose data models. + Advise teams and stakeholders on best practices for data collection, propose innovative solutions, and ensure high-quality, compliant data. + Use surveillance tools to review data at an aggregate level, identifying patterns or anomalies to ensure high-quality results. + Organize and integrate data from various sources, maintaining its value through the application of FAIR principles, and support stakeholders' data insight needs from collection to analysis. **Cross-functional Data Management Leadership:** + Manage and coordinate the integration and utilization of all ancillary systems. + Highlight issues/risks to delivery by understanding interdependencies. Define mitigations and drive resolution with cross-functional stakeholders as part of the Risk Management Plan. + Review and analyze metrics to derive meaningful summaries of study health and trends. + Review Master Services Agreements, Service Level Agreements, and contracts to manage toward sponsor-specific metric targets/Key Performance Indicators. + Attend cross-functional meetings, prepare meeting agendas and minutes, and comply with action and decision logs. **Project Financial and Resource Management:** + Ensure appropriate project-level resourcing of staff and staff assignments. + Regularly review and update Data Management resources to ensure alignment with contracted budgets, project resource forecasts, actuals, and demand. + Determine and resolve the root cause of Data Management-related project variances in a timely manner, including negotiating/raising changes in scope. **Company Initiatives:** + Provide Data Management functional input, considering the impact on Data Management and Parexel as a whole. + Support other functions by providing meaningful feedback on initiatives. + Ensure Parexel-requested information entered into management systems is accurate and regularly updated. **Training:** + Maintain training compliance as per job roles assigned, including on-the-job training. + Deliver project-specific training to internal Data Management teams. + Address training needs based on identified development goals. \#LI-REMOTE EEO Disclaimer Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.$100k-125k yearly est. 5d agoLead Data Engineer
Allergan Aesthetics
Irvine, CA jobs
At Allergan Aesthetics, an AbbVie company, we develop, manufacture, and market a portfolio of leading aesthetics brands and products. Our aesthetics portfolio includes facial injectables, body contouring, plastics, skin care, and more. Our goal is to consistently provide our customers with innovation, education, exceptional service, and a commitment to excellence, all with a personal touch. For more information, visit *************************************** Follow Allergan Aesthetics on LinkedIn. Allergan Aesthetics | An AbbVie Company Job Description As the Lead Data Engineer,you will report to the Engineer Manager (Data Services) and continuously collaborate closely with key stakeholders across the business to solve critical technical challenges. Key Responsibilities: Take ownership for achieving objectives and key results for your team, oversee & own technical solutions, communicate schedule, status, and milestones Collaborate with cross functional partners (Product Managers, Data Scientists, Machine Learning Engineers, Software Engineers, and Business teams) to build data products Communicate effectively with both technical and non-technical stakeholders. Translate technical concepts into clear, accessible terms. Develop, optimize, and maintain complex ETL processes for data movement and transformation Review code and provide technical guidance to ensure adherence to high-quality standards and best practices in data engineering Develop APIs and microservices to expose and integrate data products with software systems Implement monitoring, logging, and alerting systems to proactively identify and resolve issues Ensure data quality, security, and compliance with relevant regulations and standards Stay current with industry trends, emerging technologies, and best practices in data engineering. Foster a culture of continuous learning and skill development within the team Qualifications Required Experience & Skills BS, MS, or PhD in Computer Science, Mathematics, Statistics, Engineering, Operations Research, or a related quantitative field 7+ years of experience as a Data Engineer or Software Engineer developing and maintaining data pipelines, infrastructure and architecture Strong programming skills in Python with a solid understanding of core computer science principles Knowledge of relational and dimensional data modeling for building data products. Experience with data quality checks and data monitoring solutions. Experience orchestrating complex workflows and data pipelines using Airflow or similar tools Proficiency with Git, CI/CD pipelines, Docker, and Kubernetes Experience architecting solutions on AWS or equivalent public cloud platforms Experience developing data APIs, microservices, and event-driven systems to integrate data products Strong interpersonal and verbal communication skills Proven leadership experience with the ability to mentor and guide a team Preferred Experience & Skills: Familiarity with data mesh concepts. Domain knowledge in recommender systems, fraud detection, personalization, and marketing science. Understanding of vector databases, knowledge graphs, and other advanced data organization techniques. Hands-on experience with tools such as Snowflake, Postgres, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, SageMaker, Datadog, PagerDuty, data observability tools, and data governance tools. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term incentive programs. This job is eligible to participate in our long-term incentive programs Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit ************************************************************************* US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: *************************************************************$112k-149k yearly est. 2d agoData Management Lead
Parexel
Atlanta, GA jobs
**Job Title:** Data Management Lead (Medical Affairs) - Oncology **About Us:** At Parexel, we are dedicated to advancing clinical research and supporting medical affairs with innovative solutions. We are seeking a dynamic and experienced Data Management Lead to join our team. If you have a passion for clinical research, strong project management skills, and a knack for data management, we want to hear from you! **Who You Are:** **Required:** + BS or MS in Life Sciences, Data/Computer Science, OR equivalent industry experience. + 7+ years experience in pharmaceutical/biotech clinical data management / Biometrics (clinical trial data and/or Real World Data) + Medical affairs experience (Phase IIIB - IV trials experience); Late Phase Oncology + Strong project management experience + Demonstrated collaboration and superb communication skills, both written and oral (proficiency in English required). + Proficient in CDISC data standards, ICH-GCP, and working in regulated environments, with a solid understanding of biological principles and scientific curiosity. + Validated project management skills, capable of managing multiple requests and priorities, with proven leadership in decision-making, negotiation, motivation, and influencing. + Experience with data analytics and visualization tools, an entrepreneurial mindset, self-direction, and the ability to mentor others while learning new techniques. + Experience in leading DM study teams, overseeing trial data activities, and collecting clinical trial and/or Real World Data, with a good understanding of molecule and disease area strategies and the healthcare environment. + Ownership and accountability relative to key accountabilities in the job description. + Ability to travel as required. + Written and oral fluency in English. **Preferred:** + Proficiency in programming languages such as SAS, R, Python, and SQL, with experience in advanced analytics approaches (e.g., machine learning, AI). + Proficient with tools for analyzing large data sources with computationally intensive steps (e.g., SQL, parallelization, Hadoop, Spark) and producing interactive outputs (e.g., Shiny, Tableau). + Experience with SDTM implementation, CDISC standards, standardized technologies (e.g., MedDRA, WHODrug), and reproducible research practices like version control and literate programming. + BSN, RN, RPh, Pharm D, PA, MPH, or other applicable health professional credentials, with contributions to open-source packages, libraries, or functions. **What you will be doing:** **Responsibilities will include:** + Develop risk management strategies and proactively manage timel What ines to ensure successful oversight and delivery of studies and projects. + Engage with stakeholders to understand their needs, influence their understanding of decisions, inform them of key deliverables, and adapt to changing milestones. + Partner with relevant functions for external data vendor selection and management, ensuring standards-compliant data transfer agreements and fit-for-purpose data models. + Advise teams and stakeholders on best practices for data collection, propose innovative solutions, and ensure high-quality, compliant data. + Use surveillance tools to review data at an aggregate level, identifying patterns or anomalies to ensure high-quality results. + Organize and integrate data from various sources, maintaining its value through the application of FAIR principles, and support stakeholders' data insight needs from collection to analysis. **Cross-functional Data Management Leadership:** + Manage and coordinate the integration and utilization of all ancillary systems. + Highlight issues/risks to delivery by understanding interdependencies. Define mitigations and drive resolution with cross-functional stakeholders as part of the Risk Management Plan. + Review and analyze metrics to derive meaningful summaries of study health and trends. + Review Master Services Agreements, Service Level Agreements, and contracts to manage toward sponsor-specific metric targets/Key Performance Indicators. + Attend cross-functional meetings, prepare meeting agendas and minutes, and comply with action and decision logs. **Project Financial and Resource Management:** + Ensure appropriate project-level resourcing of staff and staff assignments. + Regularly review and update Data Management resources to ensure alignment with contracted budgets, project resource forecasts, actuals, and demand. + Determine and resolve the root cause of Data Management-related project variances in a timely manner, including negotiating/raising changes in scope. **Company Initiatives:** + Provide Data Management functional input, considering the impact on Data Management and Parexel as a whole. + Support other functions by providing meaningful feedback on initiatives. + Ensure Parexel-requested information entered into management systems is accurate and regularly updated. **Training:** + Maintain training compliance as per job roles assigned, including on-the-job training. + Deliver project-specific training to internal Data Management teams. + Address training needs based on identified development goals. \#LI-REMOTE EEO Disclaimer Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.$93k-122k yearly est. 60d+ agoData Management Lead
Parexel
Frankfort, KY jobs
**Job Title:** Data Management Lead (Medical Affairs) - Oncology **About Us:** At Parexel, we are dedicated to advancing clinical research and supporting medical affairs with innovative solutions. We are seeking a dynamic and experienced Data Management Lead to join our team. If you have a passion for clinical research, strong project management skills, and a knack for data management, we want to hear from you! **Who You Are:** **Required:** + BS or MS in Life Sciences, Data/Computer Science, OR equivalent industry experience. + 7+ years experience in pharmaceutical/biotech clinical data management / Biometrics (clinical trial data and/or Real World Data) + Medical affairs experience (Phase IIIB - IV trials experience); Late Phase Oncology + Strong project management experience + Demonstrated collaboration and superb communication skills, both written and oral (proficiency in English required). + Proficient in CDISC data standards, ICH-GCP, and working in regulated environments, with a solid understanding of biological principles and scientific curiosity. + Validated project management skills, capable of managing multiple requests and priorities, with proven leadership in decision-making, negotiation, motivation, and influencing. + Experience with data analytics and visualization tools, an entrepreneurial mindset, self-direction, and the ability to mentor others while learning new techniques. + Experience in leading DM study teams, overseeing trial data activities, and collecting clinical trial and/or Real World Data, with a good understanding of molecule and disease area strategies and the healthcare environment. + Ownership and accountability relative to key accountabilities in the job description. + Ability to travel as required. + Written and oral fluency in English. **Preferred:** + Proficiency in programming languages such as SAS, R, Python, and SQL, with experience in advanced analytics approaches (e.g., machine learning, AI). + Proficient with tools for analyzing large data sources with computationally intensive steps (e.g., SQL, parallelization, Hadoop, Spark) and producing interactive outputs (e.g., Shiny, Tableau). + Experience with SDTM implementation, CDISC standards, standardized technologies (e.g., MedDRA, WHODrug), and reproducible research practices like version control and literate programming. + BSN, RN, RPh, Pharm D, PA, MPH, or other applicable health professional credentials, with contributions to open-source packages, libraries, or functions. **What you will be doing:** **Responsibilities will include:** + Develop risk management strategies and proactively manage timel What ines to ensure successful oversight and delivery of studies and projects. + Engage with stakeholders to understand their needs, influence their understanding of decisions, inform them of key deliverables, and adapt to changing milestones. + Partner with relevant functions for external data vendor selection and management, ensuring standards-compliant data transfer agreements and fit-for-purpose data models. + Advise teams and stakeholders on best practices for data collection, propose innovative solutions, and ensure high-quality, compliant data. + Use surveillance tools to review data at an aggregate level, identifying patterns or anomalies to ensure high-quality results. + Organize and integrate data from various sources, maintaining its value through the application of FAIR principles, and support stakeholders' data insight needs from collection to analysis. **Cross-functional Data Management Leadership:** + Manage and coordinate the integration and utilization of all ancillary systems. + Highlight issues/risks to delivery by understanding interdependencies. Define mitigations and drive resolution with cross-functional stakeholders as part of the Risk Management Plan. + Review and analyze metrics to derive meaningful summaries of study health and trends. + Review Master Services Agreements, Service Level Agreements, and contracts to manage toward sponsor-specific metric targets/Key Performance Indicators. + Attend cross-functional meetings, prepare meeting agendas and minutes, and comply with action and decision logs. **Project Financial and Resource Management:** + Ensure appropriate project-level resourcing of staff and staff assignments. + Regularly review and update Data Management resources to ensure alignment with contracted budgets, project resource forecasts, actuals, and demand. + Determine and resolve the root cause of Data Management-related project variances in a timely manner, including negotiating/raising changes in scope. **Company Initiatives:** + Provide Data Management functional input, considering the impact on Data Management and Parexel as a whole. + Support other functions by providing meaningful feedback on initiatives. + Ensure Parexel-requested information entered into management systems is accurate and regularly updated. **Training:** + Maintain training compliance as per job roles assigned, including on-the-job training. + Deliver project-specific training to internal Data Management teams. + Address training needs based on identified development goals. \#LI-REMOTE EEO Disclaimer Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.$74k-97k yearly est. 5d agoPrincipal Data Scientist - AI Context Architect (Semantic & Context Engineering)
Amgen Inc.
Thousand Oaks, CA jobs
Join Amgen's Mission of Serving Patients At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Principal Data Scientist What you will do Let's do this. Let's change the world. In this vital role you will serve as a senior individual-contributor authority on semantic modeling, context engineering, and AI-first data science-enabling high-performing classical ML, reinforcement learning-informed approaches, and generative AI systems through well-architected context. This role functions as an "AI Context Architect" (titled as a Data Scientist): a semantic architect who can define domain entities (e.g., payer, provider, patient, product, site, indication) and the relationships between them, so that data + context reliably drive model reasoning, retrieval, and downstream decisions. You will design the semantic foundations that make AI systems accurate, explainable, governable, and performant-partnering with engineering, product, security/compliance, and domain teams across R&D, Manufacturing, and Commercial Roles & Responsibilities Semantic architecture & AI-first context modeling * Define enterprise-grade semantic representations for healthcare/life-sciences concepts and specify how relationships and interactions are represented for AI consumption. * Create and maintain semantic schemas / ontologies / knowledge-graph models that describe entities, attributes, constraints, and linkages-optimized for both analytics and AI reasoning. * Establish context engineering standards: how data is shaped into prompts, tools, memory, retrieval indices, and structured outputs so models behave consistently across use cases. Feature engineering & model performance (core emphasis) * Lead feature engineering strategy tied directly to model performance, including feature definition, transformations, leakage prevention, stability monitoring, and explainability. * Perform exploratory data analysis on complex, high-dimensional datasets to identify predictive signals and context variables that improve model robustness and generalization. Context-aware ML, GenAI, and reinforcement learning-informed approaches * Build and evaluate context-aware ML/GenAI solutions, integrating semantic layers with retrieval, tools, and structured outputs. * Apply reinforcement learning concepts (reward modeling, policy optimization intuition, offline evaluation, exploration/exploitation framing) to improve decisioning, ranking, orchestration, and system behavior-without overfitting to short-term metrics. * Prototype and benchmark algorithms and approaches (classical ML, deep learning, LLM-based reasoning) and advise on scalability and production readiness. Retrieval, knowledge, and governance foundations * Architect and implement retrieval and memory patterns (RAG, vector stores, knowledge graphs, session memory). * Define data quality and semantic quality gates (entity completeness, relationship validity, taxonomy drift, grounding coverage) that impact downstream model reliability. Cross-functional leadership * Translate domain needs into semantic + AI roadmaps, aligning stakeholders on definitions, metrics, and tradeoffs. * Act as a principal-level mentor and technical leader: establish standards, review semantic designs, and guide teams on best practices for context engineering and feature excellence. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek will have these qualifications. Basic Qualifications: Doctorate degree and 2 years of Data Science, Computer Science, Statistics, Applied Math, or related experience Or Master's degree and 4 years of Data Science, Computer Science, Statistics, Applied Math, or related experience Or Bachelor's degree and 6 years of Data Science, Computer Science, Statistics, Applied Math, or related experience Or Associate's degree and 10 years of Data Science, Computer Science, Statistics, Applied Math, or related experience Or High school diploma / GED and 12 years of Data Science, Computer Science, Statistics, Applied Math, or related experience Preferred Qualifications: * 10-12+ years applying data science in enterprise environments with demonstrated principal-level influence (or equivalent depth of expertise). * Deep expertise in semantic modeling: ontologies, taxonomies, entity resolution, knowledge graphs, metadata and data contracts-built for operational use. * Strong understanding of machine learning fundamentals and performance drivers, especially feature engineering and evaluation rigor. * Practical experience implementing RAG / retrieval / vector search / knowledge graph solutions with clear governance patterns. * Working knowledge of reinforcement learning concepts and how they apply to ranking, orchestration, personalization, or decision systems (even if not "pure RL" production). * Proficiency in Python (and strong comfort with modern data/ML stacks); ability to collaborate effectively with engineering teams on production concerns. * Exceptional stakeholder management: can drive alignment on, relationships, and metrics, and communicate tradeoffs clearly. Good-to-Have Skills * Experience in biotech/pharma and healthcare commercial concepts (payer/provider dynamics, formulary/coverage). * Familiarity with agentic/tool-using LLM patterns, prompt management, and structured outputs. * Experience with feature stores, ML observability, and robust evaluation tooling. * Publications, conference talks, or thought leadership in semantic AI / knowledge systems / enterprise GenAI. Soft Skills: * Excellent analytical and troubleshooting skills. * Strong verbal and written communication skills * Ability to work effectively with global, virtual teams * High degree of initiative and self-motivation. * Ability to manage multiple priorities successfully. * Team-oriented, with a focus on achieving team goals. * Ability to learn quickly, be organized and detail oriented. * Strong presentation and public speaking skills. Certifications * Cloud/AI certifications (AWS/Azure/GCP) are a plus. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: * A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts * A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan * Stock-based long-term incentives * Award-winning time-off plans * Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies. Apply now and make a lasting impact with the Amgen team. careers.amgen.com In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Application deadline Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position. Sponsorship Sponsorship for this role is not guaranteed. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. . Salary Range 163,136.00 USD - 214,390.00 USD$111k-148k yearly est. 11d agoPrincipal Data Scientist - AI Context Architect (Semantic & Context Engineering)
Amgen
Thousand Oaks, CA jobs
Career CategoryInformation SystemsJob DescriptionJoin Amgen's Mission of Serving Patients At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Principal Data ScientistWhat you will do Let's do this. Let's change the world. In this vital role you will serve as a senior individual-contributor authority on semantic modeling, context engineering, and AI-first data science-enabling high-performing classical ML, reinforcement learning-informed approaches, and generative AI systems through well-architected context. This role functions as an “AI Context Architect” (titled as a Data Scientist): a semantic architect who can define domain entities (e.g., payer, provider, patient, product, site, indication) and the relationships between them, so that data + context reliably drive model reasoning, retrieval, and downstream decisions. You will design the semantic foundations that make AI systems accurate, explainable, governable, and performant-partnering with engineering, product, security/compliance, and domain teams across R&D, Manufacturing, and Commercial Roles & Responsibilities Semantic architecture & AI-first context modeling Define enterprise-grade semantic representations for healthcare/life-sciences concepts and specify how relationships and interactions are represented for AI consumption. Create and maintain semantic schemas / ontologies / knowledge-graph models that describe entities, attributes, constraints, and linkages-optimized for both analytics and AI reasoning. Establish context engineering standards: how data is shaped into prompts, tools, memory, retrieval indices, and structured outputs so models behave consistently across use cases. Feature engineering & model performance (core emphasis) Lead feature engineering strategy tied directly to model performance, including feature definition, transformations, leakage prevention, stability monitoring, and explainability. Perform exploratory data analysis on complex, high-dimensional datasets to identify predictive signals and context variables that improve model robustness and generalization. Context-aware ML, GenAI, and reinforcement learning-informed approaches Build and evaluate context-aware ML/GenAI solutions, integrating semantic layers with retrieval, tools, and structured outputs. Apply reinforcement learning concepts (reward modeling, policy optimization intuition, offline evaluation, exploration/exploitation framing) to improve decisioning, ranking, orchestration, and system behavior-without overfitting to short-term metrics. Prototype and benchmark algorithms and approaches (classical ML, deep learning, LLM-based reasoning) and advise on scalability and production readiness. Retrieval, knowledge, and governance foundations Architect and implement retrieval and memory patterns (RAG, vector stores, knowledge graphs, session memory). Define data quality and semantic quality gates (entity completeness, relationship validity, taxonomy drift, grounding coverage) that impact downstream model reliability. Cross-functional leadership Translate domain needs into semantic + AI roadmaps, aligning stakeholders on definitions, metrics, and tradeoffs. Act as a principal-level mentor and technical leader: establish standards, review semantic designs, and guide teams on best practices for context engineering and feature excellence. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek will have these qualifications. Basic Qualifications: Doctorate degree and 2 years of Data Science, Computer Science, Statistics, Applied Math, or related experience Or Master's degree and 4 years of Data Science, Computer Science, Statistics, Applied Math, or related experience Or Bachelor's degree and 6 years of Data Science, Computer Science, Statistics, Applied Math, or related experience Or Associate's degree and 10 years of Data Science, Computer Science, Statistics, Applied Math, or related experience Or High school diploma / GED and 12 years of Data Science, Computer Science, Statistics, Applied Math, or related experience Preferred Qualifications: 10-12+ years applying data science in enterprise environments with demonstrated principal-level influence (or equivalent depth of expertise). Deep expertise in semantic modeling: ontologies, taxonomies, entity resolution, knowledge graphs, metadata and data contracts-built for operational use. Strong understanding of machine learning fundamentals and performance drivers, especially feature engineering and evaluation rigor. Practical experience implementing RAG / retrieval / vector search / knowledge graph solutions with clear governance patterns. Working knowledge of reinforcement learning concepts and how they apply to ranking, orchestration, personalization, or decision systems (even if not “pure RL” production). Proficiency in Python (and strong comfort with modern data/ML stacks); ability to collaborate effectively with engineering teams on production concerns. Exceptional stakeholder management: can drive alignment on, relationships, and metrics, and communicate tradeoffs clearly. Good-to-Have Skills Experience in biotech/pharma and healthcare commercial concepts (payer/provider dynamics, formulary/coverage). Familiarity with agentic/tool-using LLM patterns, prompt management, and structured outputs. Experience with feature stores, ML observability, and robust evaluation tooling. Publications, conference talks, or thought leadership in semantic AI / knowledge systems / enterprise GenAI. Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills. Certifications Cloud/AI certifications (AWS/Azure/GCP) are a plus. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies. Apply now and make a lasting impact with the Amgen team.careers.amgen.com In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Application deadline Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position. Sponsorship Sponsorship for this role is not guaranteed. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. . Salary Range 163,136.00 USD - 214,390.00 USD$111k-148k yearly est. Auto-Apply 12d agoPrincipal Data Scientist - AI Context Architect (Semantic & Context Engineering)
Amgen
Thousand Oaks, CA jobs
**Join Amgen's Mission of Serving Patients** At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. **Principal Data Scientist** **What you will do** Let's do this. Let's change the world. In this vital role you will serve as a senior individual-contributor authority on **semantic modeling, context engineering, and AI-first data science** -enabling high-performing classical ML, reinforcement learning-informed approaches, and generative AI systems through **well-architected context** . This role functions as an **"AI Context Architect"** (titled as a Data Scientist): a **semantic architect** who can define domain entities (e.g., payer, provider, patient, product, site, indication) and the relationships between them, so that **data + context** reliably drive model reasoning, retrieval, and downstream decisions. You will design the semantic foundations that make AI systems accurate, explainable, governable, and performant-partnering with engineering, product, security/compliance, and domain teams across **R&D, Manufacturing, and Commercial** **Roles & Responsibilities** **Semantic architecture & AI-first context modeling** + **Define enterprise-grade semantic representations** for healthcare/life-sciences concepts and specify **how relationships and interactions** are represented for AI consumption. + Create and maintain **semantic schemas / ontologies / knowledge-graph models** that describe entities, attributes, constraints, and linkages-optimized for both analytics and AI reasoning. + Establish **context engineering standards** : how data is shaped into prompts, tools, memory, retrieval indices, and structured outputs so models behave consistently across use cases. **Feature engineering & model performance (core emphasis)** + Lead **feature engineering strategy tied directly to model performance** , including feature definition, transformations, leakage prevention, stability monitoring, and explainability. + Perform exploratory data analysis on complex, high-dimensional datasets to identify predictive signals and **context variables** that improve model robustness and generalization. **Context-aware ML, GenAI, and reinforcement learning-informed approaches** + Build and evaluate **context-aware ML/GenAI solutions** , integrating semantic layers with retrieval, tools, and structured outputs. + Apply **reinforcement learning concepts** (reward modeling, policy optimization intuition, offline evaluation, exploration/exploitation framing) to improve decisioning, ranking, orchestration, and system behavior-without overfitting to short-term metrics. + Prototype and benchmark algorithms and approaches (classical ML, deep learning, LLM-based reasoning) and advise on **scalability and production readiness** . **Retrieval, knowledge, and governance foundations** + Architect and implement **retrieval and memory patterns** (RAG, vector stores, knowledge graphs, session memory). + Define **data quality and semantic quality gates** (entity completeness, relationship validity, taxonomy drift, grounding coverage) that impact downstream model reliability. **Cross-functional leadership** + Translate domain needs into **semantic + AI roadmaps** , aligning stakeholders on definitions, metrics, and tradeoffs. + Act as a principal-level mentor and technical leader: establish standards, review semantic designs, and guide teams on best practices for context engineering and feature excellence. **What we expect of you** We are all different, yet we all use our unique contributions to serve patients. The professional we seek will have these qualifications. **Basic Qualifications:** Doctorate degree and 2 years of Data Science, Computer Science, Statistics, Applied Math, or related experience **Or** Master's degree and 4 years of Data Science, Computer Science, Statistics, Applied Math, or related experience **Or** Bachelor's degree and 6 years of Data Science, Computer Science, Statistics, Applied Math, or related experience **Or** Associate's degree and 10 years of Data Science, Computer Science, Statistics, Applied Math, or related experience **Or** High school diploma / GED and 12 years of Data Science, Computer Science, Statistics, Applied Math, or related experience **Preferred Qualifications:** + **10-12+ years** applying data science in enterprise environments with demonstrated principal-level influence (or equivalent depth of expertise). + Deep expertise in **semantic modeling** : ontologies, taxonomies, entity resolution, knowledge graphs, metadata and data contracts-built for operational use. + Strong understanding of **machine learning fundamentals** and performance drivers, especially **feature engineering** and evaluation rigor. + Practical experience implementing **RAG / retrieval / vector search / knowledge graph** solutions with clear governance patterns. + Working knowledge of **reinforcement learning concepts** and how they apply to ranking, orchestration, personalization, or decision systems (even if not "pure RL" production). + Proficiency in **Python** (and strong comfort with modern data/ML stacks); ability to collaborate effectively with engineering teams on production concerns. + Exceptional stakeholder management: can drive alignment on **, relationships, and metrics** , and communicate tradeoffs clearly. **Good-to-Have Skills** + Experience in **biotech/pharma** and healthcare commercial concepts (payer/provider dynamics, formulary/coverage). + Familiarity with agentic/tool-using LLM patterns, prompt management, and structured outputs. + Experience with feature stores, ML observability, and robust evaluation tooling. + Publications, conference talks, or thought leadership in semantic AI / knowledge systems / enterprise GenAI. **Soft Skills:** + Excellent analytical and troubleshooting skills. + Strong verbal and written communication skills + Ability to work effectively with global, virtual teams + High degree of initiative and self-motivation. + Ability to manage multiple priorities successfully. + Team-oriented, with a focus on achieving team goals. + Ability to learn quickly, be organized and detail oriented. + Strong presentation and public speaking skills. **Certifications** + Cloud/AI certifications (AWS/Azure/GCP) are a plus. **What you can expect of us** As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: + A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts + A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan + Stock-based long-term incentives + Award-winning time-off plans + Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies. **Apply now and make a lasting impact with the Amgen team.** **careers.amgen.com** In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. **Application deadline** Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position. **Sponsorship** Sponsorship for this role is not guaranteed. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.$111k-148k yearly est. 10d ago
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