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Job Description

About 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 Cell Therapy Innovation (CTI) team as Senior Scientist/Principal Scientist, where you will help establish correlative analysis practice, building in-depth data analysis workflow, designing engineering biology within CTI and bridging CTI with data scientists and bioinformatician within Takeda. If you are motivated by designing complex cellular systems and distilling insight from large biological datasets, this role will be ideal for you. This is a unique opportunity to work at a start-up like culture in big pharmaceutical company to contribute to engineering biology and process biology of cell therapy product.

We seek a motivated and collaborative scientist with experience applying data science and computational biology to the discovery and development of cell therapy products. Our cell therapy innovation team is focused on advancing Takeda cell therapy drug discovery through cutting-edge technologies.

How you will contribute:

• You will lead the efforts in building correlative science and computational biology strategy in CTI working with all cross-function partners and leadership teams

• You will build data collection, data annotation, data cleaning and dataset compile for specific projects and downstream in-depth data correlative analysis

• Dive deep in high dimension NGS data using RNAseq, genome sequencing, and others to inform gene engineering biology

• Explore large data set of variety readouts, including immunophenotype, cell production yield and transducibility, Legend screen, cytokine profiling, function assessment etc to help with donor selection criteria set up

• Work with bench scientists by guiding experimental workflows and quantitative measurement to ensure statistical rigor and help building data visualization

• Collaborate with Precision Translational Medicine, Data Science Institute, and Data/Automation in CMC & Global Biologics to build enterprise digitization roadmap and explore new tool and technology platform

Minimum Requirements/Qualifications:

• PhD's degree in Computer Science, bioinformatics, computational biology, system biology or other similar science and engineering disciplines, with 3+ year experience

• Master's degree in Computer Science, bioinformatics, computational biology, system biology or other similar science and engineering disciplines, with 7+ year experience

• Bachelor's degree in Computer Science, bioinformatics, computational biology, system biology or other similar science and engineering disciplines, with 10+ year experience

Technical Requirements:

• Basic understanding of molecular biology, immunology, cell biology, and cell therapy product development

• Experience with at least one of the focuses: protein or DNA sequence design, natural language processing, text mining, omics data analysis (RNA seq, etc.), computer vision

• Expertise with many of the following areas: supervised learning, unsupervised learning, deep learning, deep generative models, transfer learning, etc.

• Experience working in cloud and high-performance computing environments (e.g. AWS), and experience working in a Unix/Linux environment

• Excellence in core machine learning languages (such as Python, R, Java, C++) with Python and R preferred. Familiar with machine learning tools and packages (Tensorflow, Pytorch, Scikit Learn, pandas, numpy, etc.)

• Experience with database systems (SQL, NoSQL) will be a plus

• Strong motivation with the ability to thrive in an entrepreneurial and multidisciplinary environment

• Ability to lead and run research projects while keep close communication wit the team

• Excellent communication and presentation skills to interpret computational language in a way that the stakeholders with biology/immunology background can understand

What Takeda can offer you:

• Comprehensive Healthcare: Medical, Dental, and Vision

• Financial Planning & Stability: 401(k) with company match and Annual Retirement Contribution Plan

• Health & Wellness programs including onsite flu shots and health screenings

• Generous time off for vacation and the option to purchase additional vacation days

• Community Outreach Programs and company match of charitable contributions

• Family Planning Support

• Flexible Work Paths

• Tuition reimbursement

More about us:

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.

Base Salary Range: $130,200.00 to $186,000.00, based on candidate professional experience level. Employees may also be eligible for Short-term and Long-Term Incentive benefits as well. Employees are eligible to participate in Medical, Dental, Vision, Life Insurance, 401(k), Charitable Contribution Match, Holidays, Personal Days & Vacation, Tuition Reimbursement Program and Paid Volunteer Time Off. The final salary offered for this position may take into account a number of factors including, but not limited to, location, skills, education, and experience.

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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.

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