Sr. Scientist, Neuroscience Computational Biology

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Job Description

Objective / Purpose:

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 Takedas Neuroscience pipeline and bring transformative medicines to patients.

Accountabilities:

• 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

Education & Experience

• 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.

Technical Competencies

• 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.

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees and we strive to be more transparent with our pay practices.

For Location:

U.S. Base Salary Range:

The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors including the qualifications of the individual applicant for the position years of relevant experience specific and unique skills level of education attained certifications or other professional licenses held and the location in which the applicant lives and/or from which they will be performing the actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.

U.S. based employees may be eligible for short-term and/ or long-term incentives. 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.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race color religion sex sexual orientation gender identity gender expression parental status national origin age disability citizenship status genetic information or characteristics marital status status as a Vietnam era veteran special disabled veteran or other protected veteran in accordance with applicable federal state and local laws and any other characteristic protected by law.

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Job Exempt