aimlroles

Research Senior Scientist, Cheminformatics AI/ML

Takeda Open · verified Oct 22, 2026
Boston Full-time Senior AI Research

At a glance

Senior AI Research role at Takeda. Boston · full-time · $137,000–$215,270 base.

SalaryStated by Takeda
$137,000 – $215,270
Base salary for this role, in USD per year, as published in the posting.
This role, from TakedaOur estimate for the market: $176,135–$226,250Median $203,800
The range includes the market median of $203,800 for senior AI research roles in Boston.
Worked out from 13 postings that stated pay, median $203,800. Last updated Oct 19, 2026.
RoleAI Research
SenioritySenior
LocationBoston
EmploymentFull-time
Base pay$137,000–$215,270
PostedAug 26, 2026 · 8w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Develop AI agents for drug discovery that combine scientific reasoning, molecular design, data analysis and computational tools
  • Spot where predictions can shorten the DMTA cycle and build models to guide molecule design and optimization
  • Turn chemical and biological datasets into medicinal chemistry insights, while maintaining model training and deployment workflows
  • Make very large chemical collections searchable through scalable ingestion, standardization, indexing and distributed computing
  • Apply generative chemistry and DNA-encoded library analysis, and help advance chemistry strategies toward therapeutic goals

What you bring

  • A PhD in computational chemistry, cheminformatics, computer science or a related field, plus two years in pharma or biotech
  • You have developed agentic AI for drug discovery, linking chemical and biological data, foundation models and scientific tools
  • You have hands-on MLOps and model lifecycle experience, including deployment in cloud or high-performance computing settings
  • You can build and search ultra-large chemical databases using scalable data engineering and distributed computing

Who this fits

This senior role suits a scientist who brings cheminformatics, machine learning and computational chemistry into drug discovery. You’ll work with medicinal chemistry, DMPK and AI/ML teams. The role is based in Cambridge, Massachusetts.

From the employer

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

Yes

It 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.