Sr. Scientist, Neuroscience Computational Biology
Boston, Massachusetts, United States of America
Full Time
4 hours ago
$137,000 - $215,000 USD
H1B Sponsor
Key skills
AIMachine LearningMLLarge Language Models
About this role
Takeda Pharmaceutical Nordics AB is seeking a Senior Scientist in Computational Biology to join their global team. The role involves leveraging computational biology and AI/ML techniques to analyze multi-omics data and drive insights for drug discovery and biomarker development within the Neuroscience portfolio.
Responsibilities:
- Serve as a subject matter expert in projects requiring multiomic and high-dimensional data analyses within Neuroscience portfolio at late preclinical and clinical stages including neurodegenerative, neuromuscular and sleep disorders
- Apply state-of-the art bioinformatics, AI/ML and computational approaches to analyze multi-omics data from preclinical and clinical studies to identify novel drug targets, and to identify and validate biomarkers for patient selection and indication expansion
- Apply large language models (LLMs), disease- and molecular-level knowledge graphs, and foundation models to integrate diverse data types and drive insight generation
- Design and apply computational and machine learning methods to analyze, integrate, visualize, and interpret single-cell and spatial transcriptomics, proteomics (e.g., Olink, SomaScan, NULISA, and LC/MS), and metabolomics
- Integrate and harmonize large-scale human disease data, including pre-clinical and clinical, internal and public 'omics datasets such as UK Biobank, AMP-AD/PD/ALS, and MESA
- Present scientific reports in internal meetings in all settings and with participants of all levels of the organization, as well as for external audiences
- Establish partnerships and maintain a collaborative, integrated role with teams to influence the experimental design, assays, data generation, analysis, integration, and interpretation
- Proactively identify complex obstacles, recommend and implement solutions using a diverse set of resources
- Work collaboratively with data and quantitative scientists and data engineers to enhance our computational infrastructure and data visualization tools