Senior Scientist, Computational Biology
- Employer
- Takeda
- Location
- Boston, Massachusetts
- Start date
- Nov 3, 2024
View more categoriesView less categories
- Discipline
- Science/R&D, Biology, Biotechnology
- Required Education
- Bachelors Degree
- Position Type
- Full time
- Hotbed
- Genetown, Best Places to Work
Job Details
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Job DescriptionAbout the role:At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on four therapeutic areas and other targeted investments, we push the boundaries of what is possible in order to bring life-changing therapies to patients worldwide.
Join Takeda as a Senior Scientist where you will join our multi-disciplinary Early Clinical Development team. You will support clinical-stage portfolios, including biomarker discovery and biomarker-driven early clinical studies targeting immune and inflammatory diseases such as IBD, Celiac Disease, Liver fibrosis, Dermatological, and Rheumatological conditions. You will also apply state-of-the-art bioinformatics approaches and AI/ML strategies to generate and analyze multi-omic data for biomarker discovery, patient stratification, and exploring mechanisms of response or resistance. As part of the Computational and Systems Biology GI² Early Clinical Development team, you will report to the Head of the team and work with the Gastrointestinal and Inflammation Therapeutic Area Unit (GI² TAU) where you will 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 and leading internal and external collaborations to develop innovative analytical strategies and support decision-making in early-stage clinical trials.
How you will contribute:- Leverage high-dimensional datasets, including multi-omics data from translational and clinical studies, to discover biomarkers, stratify patients, explore new indications, 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.
- PhD in Computational Biology or Bioinformatics with 3+ years post-doctoral experience, or MS with 9+ years experience, or BS with 11+ years 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.
- 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.
At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.
Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.
This position is currently classified as "hybrid" in accordance with Takeda's Hybrid and Remote Work policy.
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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, MAU.S. Base Salary Range:
133,000.00 - 209,000.00The 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-termincentives. 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.
LocationsBoston, MAWorker TypeEmployeeWorker Sub-TypeRegularTime TypeFull timeJob Exempt
YesCompany
For over 240 years, Takeda’s propensity to evolve has driven the next generation of innovation. Today, our organization spans the globe—colleagues across business units and functions face challenges head-on to deliver life-transforming treatments, guided by our commitment to patients, our people and the planet.
As a values-based, R&D-driven biopharmaceutical leader headquartered in Japan, we focus our R&D efforts on four therapeutic areas: Oncology, Rare Genetics and Hematology, Neuroscience, and Gastroenterology (GI). We also make targeted R&D investments in Plasma-Derived Therapies and Vaccines. In addition to our R&D efforts, we’re laser-focused on harnessing the power of data, digital, and technology to improve health outcomes for patients across the globe.
Since our founding in Japan, integrity and putting patients first have been at the heart of our identity. We're proud of our employees and their commitment to improving the quality of life for patients, and to working with our partners in health care in approximately 80 countries and regions. With each new breakthrough comes opportunities to develop your career, hone new skills, and create a brighter future
For more information, visit https://jobs.takeda.com/
- Website
- https://www.takeda.com/
- Location
-
650 East Kendall Street
Cambridge
MA
02421
United States
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