Data Analysis Scientist - Machine Learning

New Today

Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement, enabling the availability of useful, clean, and accurate data throughout its usefull lifecycle. Independently manage budget, ensuring appropriate staffing and coordinating projects within the area. We are investing in new technologies and building specific therapeutic area and platform depth and capabilities all to bring our medicines to patients even faster.
We are seeking key talent, like you, to join us and help give people with disease and their families a brighter future to look forward to.
As a Senior Principal Data Scientist in the Multimodal Data & Analytics group you will be responsible for the discussion and implementation of data science and high-dimensional modeling methodologies applied to patient-level data (including various biomarker, clinical and outcomes data) across clinical development. You will combine your data science and AI skills and your scientific knowledge in biology, pharmacology or medicine to enrich drug development decisions in close collaboration with internal and external partners.
This role offers hybrid working, requiring 3 days per week or 12 days per month in our London Office.
You will provide global strategic data science leadership and support to clinical development programs of low to mid complexity, based on relevant technical and disease area knowledge.
You will contribute to planning, execution, interpretation, validation and communication of innovative exploratory biomarker and/or AI analyses and algorithms, to facilitate internal decision making, and support submissions of candidate drug and associated companion diagnostics packages.
You will provide technical expertise in data science and (predictive) machine learning/AI as well as domain knowledge in biology and/or medicine to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy.
You will perform hands-on analysis of integrated clinical, outcomes and high-dimensional, patient-level biomarker data from clinical trials and the real world (genomics, transcriptomics, proteomics, flow cytometry etc.) You will contribute to the scientific content of materials for internal decision boards/regulatory/submission documents: You will align with and influence the Analytics team (biometrician, pharmacometrician, data management, database programming, programming, medical and scientific writing) as well as cross-functional partners in research, regulatory, clinical and commercial teams on the biomarker and/or AI strategy, execution, and delivery of assigned projects.
D. in data science, biostatistics, pharmacology, bioinformatics, mathematics, or other quantitative field (or equivalent).
Good understanding of clinical study design principles and basic familiarity working with clinical data in a clinical trial (GxP) setting.
Strong knowledge and understanding of (multivariate implementations of) statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials.
Familiarity with statistical and analytical methods for genetics and -omics data analysis and working knowledge of high dimensional biomarker platforms (e.g., Strong programming skills in R and Python. Demonstrated knowledge of data visualization, exploratory analysis, and predictive modeling.
Excellent interpersonal and communication skills (verbal and writing)
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Commitment to Diversity & Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up:
GB16 (FCRS = GB016) Novartis Pharmaceuticals UK Ltd.
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
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Location:
London
Job Type:
FullTime

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