What are the responsibilities and job description for the Director, AI Strategy for Biologics (Apply in minutes) position at Takeda Pharmaceutical?
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- Job Description
- About the role : At Takeda, we are a forward-looking, world-class R&D; organization thatunlocks innovation and delivers transformative therapies to patients. Byfocusing R&D; efforts on four therapeutic areas and other targetedinvestments, we push the boundaries of what is possible in order to bringlife-changing therapies to patients worldwide.Join Takeda as a Director, AI Strategy where you will lead the strategicapplication, integration and development of machine learning and AItechnologies in the discovery and development of biologics ensuring alignmentwith Global Biologics and Takeda Research goals to deliver innovative, highlydifferentiated therapeutic opportunities for patients. You will also driveintegration of the modeling pipelines with internal data mining platforms andbuild a continuous test and learn pipeline. As part of the Global Biologicsteam, you will report to the Head of the organization and coordinate withinternal and external collaborators to build Takeda’s capabilities in thisarea towards the goal of accelerating drugs to patients.# How you will contribute :
- Lead the integration and advancement of AI technologies in biologics discovery.
- Develop and implement strategic AI initiatives to enhance biologics research and lab processes.
- Oversee AI-driven projects, ensuring alignment with company goals and timely delivery.
- Foster collaboration with internal teams and external partners.
- Build and mentor a high-performing AI and data science team.
- Identify and evaluate academic industry collaborations and serve as the point of contact with external partners stakeholders.
- Proactively assess external opportunities and internalize novel methods and tools.
- Foster a culture of innovation and scientific excellence within the drug discovery team, promoting collaboration, knowledge sharing, and continuous learning.
- Oversee the design and execution of experiments, data analysis, and interpretation to guide decision-making and further learning and optimize drug discovery efforts.
- Stay abreast of the latest advancements in drug discovery, emerging technologies, and industry trends, and apply this knowledge to enhance drug discovery strategies.
- Provide guidance and mentorship to team members, fostering their professional growth and development.
- Communicate and explain strengths and weaknesses of complex computational models and ML techniques to broad scientific audience from diverse disciplines.
- Collaborate effectively within a matrix environment, with scientists across various scientific disciplines, therapeutic areas, and departments to develop a strategy and appropriate goals for data science work.
- Increase the external recognition of Takeda’s data science work by participating in conferences, publishing work and developing external.# Minimum RequirementsQualifications :
- PhD degree in Computational Biology, Bioinformatics, Computer Science, or a related field with 10 years experience , or MS with 16 years experience, or BS with 18 years experience.
- A minimum of 10 years of experience applying machine learning deep learning approaches in the life sciences.
- Proven track record of leading AI-driven projects in a pharmaceutical or biotechnology setting.
- Significant depth of expertise in at least one field relevant to the job (for example, machine learning, biotherapeutic design, etc.).# More about us : At Takeda, we are transforming patient care through the development of novelspecialty pharmaceuticals and best in class patient support programs. Takedais a patient-focused company that will inspire and empower you to grow throughlife-changing work.Certified as a Global Top Employer, Takeda offers stimulating careers,encourages innovation, and strives for excellence in everything we do. Wefoster an inclusive, collaborative workplace, in which our teams are united byan unwavering commitment to deliver Better Health and a Brighter Future topeople around the world.#LI-SGM#LI-Onsite
- Takeda Compensation and Benefits Summary
- We understand compensation is an important factor as you consider the nextstep in your career. We are committed to equitable pay for all employees, andwe strive to be more transparent with our pay practices.
- For Location :
- Boston, MA
- U.S. Base Salary Range :
- 169,400.00 - 266,200.00The estimated salary range reflects an anticipated range for this position.The actual base salary offered may depend on a variety of factors, includingthe qualifications of the individual applicant for the position, years ofrelevant experience, specific and unique skills, level of education attained,certifications or other professional licenses held, and the location in whichthe applicant lives andor from which they will be performing the job. Theactual base salary offered will be in accordance with state or local minimumwage 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 andlong-term disability coverage, basic life insurance, a tuition reimbursementprogram, paid volunteer time off, company holidays, and well-being benefits,among others. U.S. based employees are also eligible to receive, per calendaryear, up to 80 hours of sick time, and new hires are eligible to accrue up to120 hours of paid vacation.
- EEO Statement_
- Takeda is proud in its commitment to creating a diverse workforce andproviding equal employment opportunities to all employees and applicants foremployment 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, orother protected veteran in accordance with applicable federal, state and locallaws, and any other characteristic protected by law._##
- Locations
- Boston, MA##
- Worker Type
- Employee##
- Worker Sub-Type
- Regular##
- Time Type
- Full time
- Job Exempt