Scientist I, Investigative Toxicology

Takeda; Boston (MA); Vor Ort; USD 116.000 - 182.000; Vollzeit

Zusammenfassung

Takeda in Boston, MA is seeking a scientist to develop and deliver automated in vitro and AI/ML toxicology models to accelerate safe drug candidate assessment. You will contribute to decision-making data to advance IND-ready programs, working with a global team of safety assessment scientists.

Responsibilities include designing AI/ML-driven in vitro assays, tissue culture of cancer cell lines and primary cells, data analysis, and presenting results.

Qualifikationen

• Ph.D. with 0–1 years, MS with 6+ years, or BS with 8+ years of experience in biology, biochemistry, pharmacology, or a related discipline.
• Experience using AI/ML tools to facilitate in vitro data analysis.
• Experience working in a matrixed team environment at a pharmaceutical company and/or CRO.
• Broad scientific knowledge in molecular and cellular biology, immunology, pharmacology, or toxicology.
• Expertise with standard aseptic cell culture techniques, including experience culturing various cell types.
• Experience with coding in R and Python is a plus.
• Experience with cell-based functional assays including transfection/transduction, imaging, and flow cytometry is a plus.
• Self-motivated with strong time management and organizational skills.
• Excellent oral and written communication skills.

Aufgaben

• Use AI/ML to develop, design, execute, and interpret in vitro cell-based assays to characterize diverse mechanisms of toxicity, focusing on oncology, neuroscience, and GI therapeutics.
• Tissue culture of immortalized cancer cell lines and human primary cells using manual and automated techniques.
• Prepare experimental protocols, analyze data, and present results in team and department meetings.
• Facilitate integration of AI/ML within investigative toxicology and with collaborators (pharmacology, DMPK, bioinformatics).
• Leverage automated platforms to run routine, well-established screening assays to prioritize assets based on safety.
• Partner with automation and technology teams to drive innovative approaches and highly efficient assay running.
• Initiate new experimental approaches using scientific theory and literature.
• Use defined practices to perform analysis, interpret results, and determine actions.
• Prepare and present technical or project reports and posters to internal and external audiences.
• Follow good documentation practices.

Kenntnisse

AI/ML tools

Matrixed team

Time management

Communication

Ausbildung

Ph.D. in biology/pharmacology

MS in biology/pharmacology

BS in biology/pharmacology

Tools

qPCR

Western blot

RNA/DNA extraction

Python

R

Jobbeschreibung

Job Description

_ Objective / Purpose: _

In this role, you will develop and deliver automated in vitro and AI/ML toxicology models to deliver safer & more effective medicines to patients, faster. AI/ML models will integrate knowledge of drug candidate target, structure and advanced in vitro models to accelerate and improve drug candidate safety assessment.

Your primary responsibility will be to deliver decision-making data to accelerate the delivery of quality drug candidates to IND.

Using Automation, AI & machine learning, you will:

• Work as part of a global team of safety assessment scientists to detect and de-risk toxicities associated Takeda assets.
• Deliver key data via screening strategies that enable early safety assessment to drive the progression of optimized therapeutic candidates.
• Conduct cell-based in vitro assays to characterize toxicities for medicines in discovery & development.
• Develop novel in vitro model systems to assess safety risks associated with Takeda assets.

The Global Investigative Toxicology team leads in vitro and in silico work critical for detecting and de-risking toxicity in drug candidates throughout Takeda’s portfolio to help make medicines safer and more effective.

_ Accountabilities: _

• Use AI/ML to develop, design, execute, and interpret in vitro cell-based assays to characterize diverse mechanisms of toxicity with a focus on oncology, neuroscience, and GI therapeutics.
• Tissue culture of immortalized cancer cell lines and human primary cells using both manual and automated techniques.
• Prepare experimental protocols, analyse experimental data, and present study results in team and department meetings.
• Facilitate integration of AI/ML within investigative toxicology and with key collaborators, including pharmacology, DMPK, and bioinformatics.
• Leverage automated platforms to run routine, well-established screening assays to prioritize assets based on safety.
• Partner with automation and technology teams to drive innovative approaches to leverage technology to facilitate highly efficient running of assays and apply cutting-edge techniques.
• Initiate new experimental approaches to specific problems using scientific theory and technical literature.
• Use defined practices and theoretical knowledge to perform analysis, interpret results, and determine appropriate action.
• Utilize relevant information, technology, and resources to contribute to complex team problem resolution and objectives.
• Prepare and present comprehensive technical or project reports and formal presentations/posters to a full range of internal and external audiences.
• Follow good documentation practices.

Education & Competencies (Technical and Behavioral):

• Ph.D. with 0–1 years, MS with 6+ years, or BS with 8+ years of experience in biology, biochemistry, pharmacology, or a related discipline.
• Experience using AI/ML tools to facilitate in vitro data analysis.
• Experience working in a matrixed team environment at a pharmaceutical company and/or CRO.
• Basic experience with molecular biology techniques, including RNA/DNA extraction, qPCR, and western blot.
• Natural aptitude for technology, instrumentation and automation.
• Broad scientific knowledge in molecular and cellular biology, immunology, pharmacology, or toxicology.
• Expertise with standard aseptic cell culture techniques, including experience culturing various cell types. Experience culturing and differentiating primary cells is a plus.
• Experience with R, Python, and other coding languages is a plus.
• Broad experience with cell-based functional assays. Experience with cell transfection/transduction, imaging, and flow cytometry is a plus.
• Self‑motivated with strong time management and organizational skills.
• Ability to balance multiple projects and remain flexible with changing priorities.
• Highly collaborative.
• Excellent oral and written 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, MA

U.S. Base Salary Range:

$116,000.00 - $182,270.00

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.

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.