Takeda · 16 hours ago
Sr. Scientist, Neuroscience Computational Biology
Boston, MA
Full-time
Onsite
Mid, Senior Level
$137K/yr - $215K/yr
2+ years expTakeda is a global biopharmaceutical company, and they are seeking a Senior Scientist in Neuroscience Computational Biology. The role involves leveraging computational biology and AI/ML techniques to identify disease-target-biomarker relationships and support drug discovery efforts.
BiotechnologyHealth CareManufacturingMedicalPharmaceutical
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
Qualification
Required
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
Benefits
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
Well-being benefits
Up to 80 hours of sick time
Up to 120 hours of paid vacation
Company
Takeda
Takeda is a biopharmaceutical company that researches and develops pharmaceutical drugs.
10001+ employees
H1B Sponsorship
Takeda has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (45)
2024 (39)
2023 (38)
2022 (34)
2021 (44)
2020 (18)
Funding
Current Stage
Public CompanyTotal Funding
$2.46B2025-06-27Post Ipo Debt· $2.4B
2016-09-01Grant· $19.8M
2016-05-08Grant· $38M
Leadership Team
Christophe Weber
President and CEO
Schuyler Fairfield
Senior Vice President, Global Head of Supply Chain
Recent News
2026-01-22
2026-01-19
2026-01-14
Company data provided by crunchbase