Sr. Scientist, Computational & Systems Biology - Early Clinical Development (GI²-TAU)

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Job Description

OBJECTIVES/PURPOSE

We have an exciting opportunity for a Translational Bioinformatics Scientist to join our multi-disciplinary Early Clinical Development team. This role focuses on supporting clinical-stage portfolios, including exploring new indications for our late-stage assets, biomarker discovery, molecular differentiation and biomarker-driven early clinical studies targeting rare autoimmune and immune-mediated diseases, IBD, Celiac Disease, Liver fibrosis, Dermatological, and Rheumatological conditions.

We are looking for:

• A skilled and creative computational biologist to join the Computational & Systems Biology group within the Gastrointestinal & Inflammation Therapeutic Area Unit and play a vital role in our mission to provide innovative therapies for patients.
• The candidate will utilize advanced bioinformatics techniques and AI/ML strategies to generate and analyze multi-omic data. This will support indication selection, biomarker discovery, molecular differentiation, patient stratification, and the exploration of mechanisms of response or resistance.
• Engage with key stakeholders, including clinical development teams, translational medicine biomarker teams, and discovery scientists, to define and execute biomarker data analysis plans. This includes contributing to multiple clinical-stage projects, acting as a senior scientific consultant, or managing a smaller, early-stage matrix project team.
• Spearhead internal and external collaborations to develop innovative analytical strategies and support decision-making in early-stage clinical trials.

ACCOUNTABILITIES

• Leverage high-dimensional datasets, including multi-omics data from translational and clinical studies, to explore new indications for our late-stage assets, biomarker discovery, molecular differentiation, stratify patients, and support drug combination studies.
• Perform data integration and network/pathway analysis to understand mechanisms of action.
• Apply AI/ML tools and generative AI models for biomarker discovery, integrating findings with existing knowledge to advance translational medicine goals.
• Prepare and present technical and scientific reports for both internal and external audiences.
• Collaborate closely with project teams to influence experimental design, assay development, data generation, and analysis.
• Participate in due diligence for external opportunities as needed
• Independently design and execute research projects in collaboration with translational scientists, contributing to multiple projects as a senior scientific consultant or managing early-stage matrix project teams.

Technical/Functional (Line) Expertise

• Strong expertise in computational biology, multi-omics analysis, and machine learning for biomarker discovery.
• Proficient in developing data strategies and integrating multi-omic and genome-wide datasets.
• Experienced in large-scale omics, high-throughput data analysis, network analysis, meta-analyses and AI/ML models for translational research.
• Capable of implementing computational methods and developing algorithms based on project needs.
• Demonstrate effective communication and project management skills.

EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: 

• PhD degree in a scientific discipline (or equivalent) with 2+ years relevant experience, or MS with 8+ years relevant experience, or BS with 10+ years relevant experience.
• Strong background in multi-omics biomarker analysis.
• Experience with proteomics, single-cell and spatial transcriptomics or spatial high-content imaging data is preferred
• Knowledge of drug development and experience in a matrix team environment
• Experience with AI/ML, statistical analysis, including regression analysis, multivariate data analysis, and mixed-effects modeling is preferred
• Proficiency in Unix/Linux, command line interfaces, and scripting/programming languages (R, Python) for multi-omics analysis

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:

$133,000.00 - $209,000.00

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. 

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 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, MA

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time

Job Exempt

Yes

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