• Provide technical leadership to teams of data scientists and engineers; • Define analytical architecture and review implementations; • Ensure transparency, explainability, and reliability of models; • Design data and ML pipelines on Azure (ADF, Databricks, Azure Machine Learning); • Integrate models with APIs and real-time workflows; • Oversee the adoption of MLOps practices (MLflow, Kubernetes, Azure ML).

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: CrowdStrike is seeking a Sr. Data Scientist to join our team building the next generation of AI assistants powered by large language models (LLMs). You will work closely with other scientists, software engineers and product managers to provide technical leadership and strategic direction, while driving innovation in our AI capabilities. You will shape the technical vision, mentor team members, and make high-impact decisions that influence the company's AI strategy. This is a unique opportunity to lead groundbreaking developments in AI assistants that will revolutionize how we access information and interact with technology in the cybersecurity space. This opportunity presents a dynamic, growth-oriented startup environment for a driven, research-focused professional. What You’ll Do: - Lead and architect the research strategy for new GenAI agents/LLMs, setting the technical direction for the team - Drive innovation in LLM applications, including novel approaches to reasoning, summarisation, and interactivity - Make strategic decisions about GenAI model architectures, training approaches, and deployment strategies - Mentor and guide Data Scientists while fostering a culture of engineering excellence - Lead cross-functional initiatives and collaborate with senior leadership to align technical strategy with business goals - Represent CrowdStrike's technical excellence through publications, speaking engagements, and thought leadership - Establish best practices, technical standards, and evaluation frameworks for the team What You’ll Need: - Advanced degree (PhD or Masters) in Computer Science, Data Science, or a related field - 8+ years of applied machine learning / research experience, with demonstrated leadership in developing production-grade models - Deep expertise in LLM training / deployment at scale - Strong technical leadership experience, including mentoring teams and driving technical strategy - Advanced knowledge of Python, Deep Learning frameworks, and cloud technologies - Expert-level understanding of GPU technologies and optimisation techniques - Outstanding communication skills with ability to influence senior stakeholders - Track record of solving complex technical challenges at scale Bonus Points: - Patents or significant intellectual property contributions in AI - Strong research portfolio with publications in leading AI journals and conferences - Experience with cybersecurity applications of machine learning - Track record of successful research-to-production implementations at scale - History of contributions to open-source ML projects #LI-AR1 #LI-GT1 #LI-Remote Benefits of Working at CrowdStrike: - Market leader in compensation and equity awards - Comprehensive physical and mental wellness programs - Competitive vacation and holidays for recharge - Paid parental and adoption leaves - Professional development opportunities for all employees regardless of level or role - Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections - Vibrant office culture with world class amenities - Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.

Title: Principal Scientist I or II , PK Sciences Therapeutic Areas (DUAL LEVEL POSTING) Location: Cambridge (USA) Job Description: Band Level 4 Job Description Summary #LI_Hybrid Location: Cambridge or San Diego (USA) We are seeking an enthusiastic and motivated PK Sciences project team representative to develop and implement translational or clinical pharmacology strategies to support the pursuit of transformative new medicines through late clinical development. Our unique organizational structure enables colleagues to work seamlessly in the translational and/or clinical space, offering opportunities for development and bench-to-bedside-to-bench translation. Experience in late discovery into clinical development is preferred. The scope of the role potentially includes small molecules, biologics/therapeutic proteins, antibody drug-conjugates, radioligand therapies and/or cell therapies across major therapeutic areas in Novartis, including oncology, immunology, cardiovascular renal metabolism, neuroscience, and global health. This position drives close interdisciplinary collaboration among the PK Science disciplines, Drug Disposition (ADME, BA), Modeling & Simulation (M&S), and Operations through PK science sub-teams to achieve a holistic and integrative perspective of the ADME/clinical pharmacology properties of candidates and drugs. Collaborates effectively with broader, cross‑disciplinary project teams to ensure PKS strategies are well integrated into project plans and scientific discussions. Job Description Key responsibilities: - Represent the PK Sciences function in project teams, interactions with stakeholders within the organization and interactions with regulatory agencies, as appropriate - Proactively contributes to developing drug candidates across Research Development and Commercial continuum, providing expert pharmacokinetic / drug metabolism and clinical pharmacology input - Work with teams to elucidate the understanding of PK/PD relationships and develop dosing strategies and predictions - Develop and execute clinical pharmacology strategies, including input into nonclinical and clinical study design, and analyzing PK and PK/PD data, to support compound development from discovery through late development - Provide PK, dosage, and PK/PD components of study protocols, reports, project summaries and development plans, and author pharmacokinetic/clinical pharmacology/biopharmaceutics sections of IND/IMPDs and NDA/BLAs as well as prepare appropriate responses to Health Authority questions - Drive close interdisciplinary collaboration among the PK Science disciplines, Drug Disposition (ADME, BA), Modeling & Simulation (M&S), through PK science sub-teams. - Works in close collaboration with clinicians and clinical development colleagues to integrate PKS insights into study design, data interpretation, and project decision‑making - Use of Artificial intelligence (AI) / Machine Learning (ML) approaches to enable model guided molecular design, preclinical and clinical data automation, authoring regulatory documents, and the use of predictive models - This role reports to Therapeutic Area group in PK Sciences within Translational Medicine (TM) in Biomedical Research. PKS is a global organization situated within Translational Medicine (TM), the clinical research arm of Biomedical Research within Novartis. PK Sciences plays a pivotal role in bringing innovative medicines to patients, by building on research advances to develop new therapies, bridging drug discovery and clinical application. PK Science is an enterprise-wide organization, working across both Biomedical Research and the Development organizations to advance the scientific knowledge of pharmacokinetics, metabolism and clinical pharmacology. Essential requirements: - Ph.D. / Pharm.D. with relevant experience in clinical pharmacology, drug metabolism and pharmacokinetics or a related background. - A minimum of 0-2 years of experience in drug discovery and/or development in a relevant environment (academia, CRO, biotech or Pharma). 2+ years of experience preferably in a lead role overseeing ADME/DMPK project strategy, either in discovery or clinical development to be considered for Principal Scientist II - Extensive and in-depth knowledge of pharmacokinetics including, drug metabolism and PK/PD evaluation, experience in working in project teams (preferably global) as well as sound awareness of recent developments in drug development and regulatory sciences. - Exposure to working in a cross-functional, matrixed, project-team environment. - Strong oral and written communication skills. Desirable Requirements: - Hands-on project experience with Artificial intelligence (AI) / Machine Learning (ML) approaches is a plus Leadership / Novartis Behaviors in Action - Delivers results through disciplined execution, continuous improvement, and a strong focus on value and outcomes. - Demonstrates an enterprise mindset and strong ownership by prioritizing resources and decisions for maximum Novartis and patient impact. - Role models Novartis leadership behaviors through visible actions, continuous self reflection, and openness to feedback - Builds trust through transparent communication, clear accountability, and consistent delivery against commitments. AI fluency: Brings strong AI and digital fluency, using enterprise tools to enhance insight generation, decision making, and team productivity. This is a dual posting. The final level & title of the offer role would be determined by the hiring team based on the skills, experience & capabilities required to perform the role at the level the role has been offered. The salary for this position is expected to range between: Principal Scientist I: $108,500 and $201,500 per year. Principal Scientist II: $119,700 and $222,300 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. To learn more about the culture, rewards and benefits we offer our people click here. EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential. Accessibility and reasonable accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please send an e-mail to tas.nacomms@novartis.com call +1 (877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message. https://www.novartis.com/careers/careers-research/notice-all-applicants-us-job-openings Salary Range $108,500.00 - $201,500.00 Skills Desired Chemistry, Clinical Pharmacology, Clinical Research, Drug Discovery, Initiative, Medical Research, Patient Care, Physiology, Quality Control, R&D (Research And Development), Simulation Software, Translational Medicine

• Support and improve backend data workflows, recurring data processes, and reporting infrastructure used by the team • Build and maintain automation tools to improve data preparation, reporting support, and workflow efficiency • Investigate data quality issues, identify root causes, and help implement sustainable fixes and controls • Document data sources, transformation logic, validation checks, and workflow steps to improve maintainability and continuity • Support productionized data workflows by helping manage updates, troubleshooting issues, and maintaining operational stability • Follow structured practices around version control, testing, documentation, and change management to support reliable data processes • Partner with team members and stakeholders to translate business needs into practical data solutions • Provide reporting and dashboard data support as needed, in partnership with BI-focused team members • Implement and assess predictive models to support broad functional areas across the division • Other duties as assigned