Overview

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's Privacy 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: We are seeking a skilled cheminformatic scientist to join Takeda's cheminformatics team. This role will be key to fostering a "prediction-first" culture, integrating cheminformatics, computational chemistry, and machine learning to accelerate drug design. The candidate will collaborate closely with global teams in medicinal chemistry, DMPK, and AI/ML, defining a roadmap for computational tools that empower medicinal chemists to drive innovation. Accountabilities: Design, automate and deploy cheminformatics workflows and visualization dashboards to support drug discovery projects.Identify opportunities throughout the DMTA cycle where predictive tools can drive acceleration. Build predictive models for molecule design and optimization. Extract medchem design knowledge from large-scale chemical and biological datasets.Stay updated with emerging trends in computational chemistry and machine learning as applied to drug discovery. Implement and execute innovative computational methodologies and tools such as AI-based drug discovery, generative chemistry, synthesizable chemical space exploration, DNA Encoded Library (DEL) data analysis and DEL/ML application.Serve as a trusted thought partner, helping to drive ideation and execution of innovative chemistry strategies that meet Takeda's therapeutic goals. Education & Competencies (Technical and Behavioral): Do not wait to apply after reading this description a high application volume is expected for this opportunity.PhD in Computational Chemistry, Cheminformatics, Computer Science or related disciplines, with 2+ years of experience in pharmaceutical or biotech setting.Solid programming and scripting capabilities (e.g., Python, R, C/C++) with a proven ability to design and automate scalable computational workflows. Strong expertise in cheminformatics toolkits such as RDKitComprehensive knowledge of the DMTA cycle with demonstrated success in deploying predictive tools across the design process. Experience leading strategic initiatives to accelerate DMTA cycle.Experience with DEL data analysis and Multi-task DL method is a strong plus.ADDITIONAL INFORMATIONThe position will be based in Cambridge, MATakeda Compensation and Benefits SummaryWe 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:$137,000.00 - $215,270.00The 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-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