Job Description

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’sPrivacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description Objective / Purpose: Describe at the highest level the team where this job sits and how this role will contribute to the team’s delivery of critical function. Join Takeda as a Senior Scientist, Computational biologist, 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 utilize human genetics to derive novel insights for drug discovery, indication expansion, and biomarker development. As part of the Computational Sciences team, you will be a senior scientist within a Neuroscience computational group and will report to the NS Computational Biology Group leader. You will engage with key stakeholders including computational science and R&D teams (e.g., discovery biology, pre-clinical sciences, translational medicine and biomarker teams, clinical teams, quantitative sciences, therapeutic area units and engineering) as well as be an integral collaborator with internal cross-functional groups, CROs, and academic partners. The goal of this role is to apply expertise in bioinformatics, genomics, machine learning, and computational biology to integrate and analyze pre-clinical and clinical, internal and public ‘omics datasets focusing on biomarker development, indication expansion, patient stratification, target validation, and target identification. Accountabilities: Describe the primary duties and responsibilities of the job. Include only the essential functions of the job. Approximately 5 – 10 bulleted task statements should be identified. Serve as a subject matter expert in projects requiring genomic and high-dimensional data analyses within Neuroscience portfolio at preclinical and clinical stages including neurodegenerative and neuromuscular diseases. Apply state-of-the art bioinformatics and computational approaches to analyze multi-omics data from preclinical and clinical studies to identify novel drug targets and biomarkers, stratify patients and elucidate molecular, cellular mechanisms of action, support indication expansion. Perform multi-omics and multi-modal data integration to identify molecular predictors, inform pathway/target mechanism of action, and achieve translational medicine goals. Support target identificaiton and validation for selected neurological disorders. Design and apply computational methods to analyze, integrate, visualize, and interpret bulk and single cell readouts (scRNA-Seq, snRNA-Seq), proteomics (Olink, SomaScan, LC/MS), metabolomics, and spatial transcriptomics. Integrate and harmonize large-scale human disease data, including pre-clinical and clinical, internal and public 'omics datasets. To be familiar with large scale human omics datasets such as AMP-AD, AMP-PD, UKB. 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 engineering groups to enhance our computational infrastructure, build on innovative C&SB solutions and intuitive multi-omics interface. Independently design, develop, and execute research assignments across projects. Education & Competencies (Technical and Behavioral): List the essential and desirable education and competency requirements to perform the primary responsibilities of the job. Any minimum requirements should be noted. PhD degree in a scientific discipline with 3+ years post-doctoral experience, or MS with 9+ years of experience, or BS with 11+ years of experience. Previous industry experience and a strong background in applying computational and systems biology, including multi-omics data analyses, to research, translational and clinical programs with demonstrated ability to meet program objectives and timelines. Solid background in genomics, multi-omics with an understanding of neurological disorders, and ability to interpret genetic findings in disease context. Demonstrated experience in large scale multi-omics (e.g. bulk or single-cell, spatial sequencing, proteomics, and more), splicing analysis, multi-modal data integration, network analysis, and meta-analyses. Demonstrated ability to independently solve scientific problems using multiple, state-of-the-art technologies and approaches. Experience with computational method evaluation, development, and implementation. Hands on experience in using public human databases such as AMP-AD, AMP-PD, UKB Proteomics. Proficiency with applying ML/AI is preferred. Statistical analysis experience with working knowledge of regression analysis, multivariate data analysis, and linear/nonlinear mixed effects modeling is preferred. Solid knowledge of Unix/Linux, command line interfaces, and fluency in some common scripting and/or programming language (e.g., R, Python, Perl, Java, C / C++) used for statistical and computational multi-omics analysis. Familiarity with popular public domain data sources and programmatic interfaces. Familiarity with high performance computing, relational databases (e.g., SQL), and cloud computing or distributed computing (Amazon Web Services). Strong organizational and effective communication skills. 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: Boston, MAU.S. Base Salary Range: $133,000.00 - $209,000.00The 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 job. 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-termincentives. 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. Locations Boston, MAWorker Type EmployeeWorker Sub-Type RegularTime Type Full timeJob Exempt YesIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. 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