Six Figure Work

Research Senior Scientist, Cheminformatics AI/ML

Takeda

Company websitetakeda.com (Takeda, opens in new tab)

Base salary $137,000  to $215,270

Employer-published annual base salary, USD. Advertised base range in Boston, MA

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  • LocationBoston, MA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (7 min ago) · observed since

About this job

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:                                                                                                    

  • Develop and apply agentic AI solutions for drug discovery, including autonomous or human-in-the-loop workflows that integrate scientific reasoning, molecular design, data analysis, and computational tools.
  • 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.
  • Establish and maintain MLOps capabilities for predictive models, including reproducible training and deployment pipelines, model lifecycle orchestration, performance monitoring, versioning, and scheduled retraining.
  • Build, maintain, and enable efficient search and analytics across ultra-large chemical databases, including scalable data ingestion, standardization, indexing, similarity and substructure search, and distributed computing workflows.
  • 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):

  • PhD in Computational Chemistry, Cheminformatics, Computer Science or related disciplines, with 2+ years of experience in pharmaceutical or biotech setting.
  • Demonstrated experience developing and applying agentic AI systems in drug discovery, including integrating and orchestrating chemical and biological databases, foundation models, scientific software tools, and multi-step computational workflows.
  • Hands-on experience with MLOps and model lifecycle management, including workflow orchestration, CI/CD, model registries, monitoring, version control, and deployment in cloud or high-performance computing environments.
  • Experience building, maintaining, and searching ultra-large chemical databases using scalable data engineering, distributed computing, and high-performance search technologies; familiarity with cloud storage, vector search, and chemical indexing is highly desirable.
  • 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 RDKit. Comprehensive knowledge of the DMTA cycle with demonstrated success in deploying predictive tools across the design process. Experience leading strategic initiatives to accelerate DMTA cycle.

This role is based in Cambridge, MA.

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, MA

U.S. Base Salary Range:

$137,000.00 - $215,270.00


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 job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. 


For information about our benefits, please click here.


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, MA

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time

Job Exempt

YesIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Source: Takeda on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($137,000) is above 28% of the 310 Science & Research roles in Massachusetts listed on this site; 5 others list the same floor. Their median floor is $159,500; the middle half runs from $129,730 to $190,600.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 6 other live Takeda roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Takeda roles with the nearest advertised base floor
RolePublished base
Research Senior Scientist, Cheminformatics AI/ML (this listing)$137,000 - $215,270
Senior Manager, US Medical Ad/Promo Regulatory Review$137,000 - $215,270
Senior Manager/Lead, Contract Management, US Oncology$137,000 - $215,270
Senior Manager, GDO Trial Performance Intelligence and Strategy$137,000 - $215,270
Senior Scientist, High-Throughput In Vitro ADME$137,000 - $215,270
Senior Staff Engineer, Modeling and Data Applications$137,000 - $215,270
Senior Principal Pharmacovigilance Scientist$137,000 - $215,270

Same $100K to $400K scale as every card. All Takeda roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-08-26
Where this pay comes from

Location as the employer wrote it: Boston, MA

$137,000.00 - $215,270.00

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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