▷ (Immediate Start) Senior Principal Data Scientist

Understand complex and critical business problems,formulate integrated analytical approaches to mine data sources,employ statistical methods and machine learning algorithms tocontribute to solving unmet medical needs, discover actionableinsights, and automate processes for reducing effort and time forrepeated use. Manage the implementation and adherence to theoverall data lifecycle of enterprise data from data acquisition orcreation through enrichment, consumption, retention, andretirement, enabling the availability of useful, clean, andaccurate data throughout its useful lifecycle. High agility to workacross various business domains. Integrate business presentations,smart visualization tools, and contextual storytelling to translatefindings back to business users with a clear impact. Independentlymanage budget, ensuring appropriate staffing and coordinatingprojects within the area. If managing a team: empower the team andprovide guidance and coaching, with initial guidance from moresenior leaders supervised. This is usually their first peoplemanager experience. About the Role Our Development Team is guidedby our purpose: to reimagine medicine to improve and extendpeople’s lives. To do this, we are optimizing and strengthening ourprocesses and ways of working. We are investing in new technologiesand building specific therapeutic area and platform depth andcapabilities – all to bring our medicines to patients even faster.We are seeking key talent, like you, to join us and help givepeople with disease and their families a brighter future to lookforward to. Apply today and welcome to where we thrive together!The Role As a Senior Principal Data Scientist in the MultimodalData & Analytics group, you will be responsible for thediscussion and implementation of data science and high-dimensionalmodeling methodologies applied to patient-level data (includingvarious biomarker, clinical, and outcomes data) across clinicaldevelopment. You will combine your data science and AI skills andyour scientific knowledge in biology, pharmacology, or medicine toenrich drug development decisions in close collaboration withinternal and external partners. This role offers hybrid working,requiring 3 days per week or 12 days per month in our LondonOffice. Key Accountabilities: * Provide global strategic datascience leadership and support to clinical development programs oflow to mid complexity, based on relevant technical and disease areaknowledge. * Contribute to planning, execution, interpretation,validation, and communication of innovative exploratory biomarkerand/or AI analyses and algorithms, to facilitate internal decisionmaking, and support submissions of candidate drug and associatedcompanion diagnostics packages. * Provide technical expertise indata science and (predictive) machine learning/AI as well as domainknowledge in biology and/or medicine to identify opportunities forinfluencing internal decision making as well as discussions onwhite papers/regulatory policy. * Perform hands-on analysis ofintegrated clinical, outcomes, and high-dimensional, patient-levelbiomarker data from clinical trials and the real world (genomics,transcriptomics, proteomics, flow cytometry, etc.) to generatefit-for-purpose evidence that is applied to decision making in drugdevelopment programs. Contribute to the scientific content ofmaterials for internal decision boards/regulatory/submissiondocuments: Briefing Books, decision criteria, trial design(s),responses to Health Authority questions. * Align with and influencethe Analytics team (biometrician, pharmacometrician, datamanagement, database programming, programming, medical andscientific writing) as well as cross-functional partners inresearch, regulatory, clinical, and commercial teams on thebiomarker and/or AI strategy, execution, and delivery of assignedprojects. Your Experience * Ph.D. in data science, biostatistics,pharmacology, bioinformatics, mathematics, or other quantitativefield (or equivalent). * More than 3 years of experience inpre-clinical and clinical drug development with extensive exposureto clinical trials. Clinical, pharmacological, and therapeuticknowledge of at least one disease area. * Good understanding ofclinical study design principles and basic familiarity working withclinical data in a clinical trial (GxP) setting. Knowledge andunderstanding of (multivariate implementations of) statisticalmethods such as time to event analysis, machine learning,meta-analysis, mixed effect modeling, longitudinal modeling,Bayesian methods, variable selection methods (e.g., lasso, elasticnet, random forest), design of clinical trials. * Familiarity withstatistical and analytical methods for genetics and -omics dataanalysis and working knowledge of high-dimensional biomarkerplatforms (e.g., next generation sequencing, transcriptomics,proteomics, flow cytometry, etc.). * Strong programming skills in Rand Python. Demonstrated knowledge of data visualization,exploratory analysis, and predictive modeling. * Excellentinterpersonal and communication skills (verbal and writing). *Ability to develop and deliver clear and concise presentations forboth internal and external meetings in key decision-makingsituations. Why Novartis: Helping people with disease and theirfamilies takes more than innovative science. It takes a communityof smart, passionate people like you. Collaborating, supporting,and inspiring each other. Combining to achieve breakthroughs thatchange patients’ lives. Ready to create a brighter future together?: Novartis Commitment to Diversity & Inclusion: Novartis iscommitted to building an outstanding, inclusive work environmentand diverse teams representative of the patients and communities weserve. J-18808-Ljbffr