Sr. Scientist, Neuroscience Computational Biology

Takeda • Boston, MA

1d • $137,000 - $215,270

About The Position

Join Takeda as a Senior Scientist, Computational Biology, and become part of a global team that leverages cutting-edge computational biology and AI/ML techniques to rigorously identify and evaluate disease-target-biomarker relationships, and derives novel insights for drug discovery, indication expansion, and biomarker development. As a Senior Scientist within the Neuroscience computational group, you will be a part of the Computational Sciences department and will engage with key stakeholders across diverse Takeda R&D teams (e.g., discovery biology, translational medicine, biomarker sciences, clinical development, and AI/ML), as well as with CROs and academic partners. You will apply expertise in bioinformatics, genomics, machine learning, and computational biology to integrate and analyze pre-clinical and clinical, internal and public multi-omics datasets, to accelerate Takeda’s Neuroscience pipeline and bring transformative medicines to patients.

Requirements

• PhD degree in a scientific discipline (or equivalent) with 2+ years relevant experience, or MS with 8+ years relevant experience, or BS with 10+ years relevant experience
• Prior industry experience with strong background in applying computational biology to research, translational, and/or clinical programs, with a demonstrated ability to meet program objectives and timelines.
• Demonstrated experience in large-scale multi-omics and multimodal data integration, network analysis, and meta-analysis.
• Experience applying AI/ML methods to biological or biomedical data
• Statistical analysis experience, including working knowledge of cross-sectional and longitudinal modeling and multivariate data analysis
• Experience in computational method evaluation, development, and implementation.
• Fluency in at least one programming language (e.g., Python or R), with demonstrated experience using libraries for statistical, bioinformatic, and AI/ML analyses.
• Familiarity with high-performance computing (HPC), relational databases (e.g., SQL), and cloud computing platforms (e.g., Amazon Web Services), along with solid knowledge of Unix/Linux environments.
• Strong organizational, collaboration, and communication skills, with the ability to clearly convey complex scientific concepts and influence multidisciplinary teams.

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

Benefits

• U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others.
• U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees