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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 as a Senior Informatics Engineer where you will manage scientific data, troubleshoot data issues, and ensure the smooth flow of information throughout the suite of tools used to track potential therapeutic molecules. You will also collaborate with scientists, automation and data management team and external partners to understand challenges in their workflows and identify/prioritize opportunities for improvement. As part of the, Informatics and Automation team, you will report to the Head of the team and help accelerate drug discovery and development by automating workflows and establishing seamless acquisition and utilization of data. Here, you will help develop the strategy, roadmap and execution for managing all data generated in Global Biologics.

How you will contribute:

• Work with scientists across Global Biologics to develop end-to-end data management capabilities for biologics discovery.

• Work across cross-functional teams in the business, Research Technologies and Lab systems and external vendors, develop standardized analysis protocols, data curation methods and ontology-based data models for all Global Biologics data.

• Plan for and lead the development and deployment code that enhances the capabilities of software solutions like Genedata Biologics and ATLAS.

• Curate and annotate scientific data stores to ensure fidelity between laboratory observations and recorded data.

• Provide ad hoc data analyses and visualizations to further insights into scientific data.

• Identify recurring issues and work with internal / external colleagues to implement solutions.

• Collaborate with software vendors and the central Research Informatics teams for the deployment and maintenance of systems and integration with other databases.

• Collaborate with machine learning colleagues across Takeda to develop an active learning system that continually trains machine learning models on data from biologics experiments and uses these data to inform subsequent experiments.

• Document best practices to ensure efficient use of scientist’s time and maximize value of insights provided.

• Guide scientists in proper use of tools and work hands-on with them to address challenges.

• Provide training to users of systems tracking scientific data in Global Biologics.

Minimum Requirements/Qualifications:

• PhD degree in a scientific discipline with 3+ years experience , or MS with 9+ years experience, or BS with 11+ years experience.

• A minimum of 3 years of industry experience.

• A minimum of 7 years of experience in data science, engineering and bioinformatics in the life sciences.

• Knowledge and experience of processes / workflows in the discovery biologics laboratory and analysis of biotherapeutic molecules.

• Proven track record of building and/or developing scalable data pipelines in a pharmaceutical or biotechnology setting.

• Experience with scientific software packages and a strong interest in learning more. Experience working with Genedata Biologics is a plus.

• Experience with data visualization tools (e.g., Spotfire).

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.

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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, 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