Job Description

Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas!



Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at www.astellas.com .

Purpose and Scope:

As an Information X Machine Learning Engineer, you will play a crucial role in designing, building, and deploying machine learning solutions. Your expertise in statistical & machine learning concepts will be instrumental in enabling data-driven decision-making and outcomes. Working within small agile teams that are focused on delivering value, you will play a pivotal role in building, maintaining, and enhancing our strategic systems across the organisation.

Essential Job Responsibilities:

Design, develop and implement robust and scalable statistical and machine learning models.



ML Pipeline Development: Design, build, and optimize ML pipelines. Ensuring quality, reliability, and scalability.



Mentorship and Leadership: Lead and mentor junior data engineers. Share best practices, provide technical guidance, and foster a culture of continuous learning.



AI/ML Strategy Contribution: Contribute to the organization's AI/ML strategy by identifying opportunities for data-driven insights and improvements.



Participate in smaller focused mission teams to deliver value driven solutions aligned to our global and bold move priority initiatives and beyond.



Collaborate with cross functional teams and practises across the organisation including Commercial, Manufacturing, Medical, Finance, Development, and support other Hubs and Practices as appropriate, to understand user needs and translate them into technical solutions.



Champion continuous improvement initiatives identifying opportunities to optimise performance security and maintainability of existing data and platform architecture and other technology investments.



Leverage your knowledge of ML principles to integrate with existing pipelines and explore new possibilities.



Stay-up-to-date on the latest trends and technologies in machine learning.

Required Qualifications:

Bachelor's degree in math, physics, statistics, economics, computer science, or related field (master's preferred) or equivalent experience



1-3+ years of experience in machine learning and data science with a strong understanding of tools and technologies.

Preferred Qualifications:

Subject Matter Expertise: possess a strong understanding of data architecture/ engineering/operations/ reporting within Life Sciences/ Pharma industry across Commercial, Manufacturing and Medical domains.



Other complex and highly regulated industry experience will be considered across diverse areas like Commercial, Manufacturing and Medical.

Benefits:

Medical, Dental and Vision Insurance



Generous Paid Time Off options, including Vacation, Sick time, plus national holidays including Heritage Days, and Summer and Winter Breaks



Country Specific Retirement Savings Plan (401k, RRSP, etc.)



Company paid life insurance



Annual Corporate Bonus and Quarterly Sales Incentive for eligible positions



Long Term Incentive Plan for eligible positions



Referral bonus program



#LI-TD



Category InformationX



Astellas is committed to equality of opportunity in all aspects of employment.



EOE including Disability/Protected Veterans