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Associate Director, GenAI, AI & ML Engineer & Operations Lead, Global Oncology

Boston, Massachusetts
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At Takeda Oncology, we aspire to cure cancer, with inspiration from patients and innovation from everywhere. We value employees with diverse perspectives and backgrounds. As a member of our team, you would bring your unique perspective to help us achieve our aspiration and help us demonstrate our commitment to patients on a daily basis.

We ensure a tight connection from research to development to commercialization to rapidly meet the needs of the cancer community, optimizing our ability to bring transformative medicines to patients. Our demonstrated leadership in the treatment of hematologic cancers and solid tumors, combined with cutting-edge science through multiple platforms, partnerships and therapeutic approaches, enable us to bring novel medicines to patients worldwide.

At Takeda, you will have access to the resources of a company with over 200 years of heritage, a diverse and robust pipeline, a values-driven culture and career development opportunities.

Job ID R0127644 Date posted 07/15/2024 Location Boston, Massachusetts

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’sPrivacy Noticeand Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

We are currently hiring a hands-on Gen AI, AI and ML Ops Engineering Lead within Data Digital and Technology (DD&T) function which is a part of Oncology Business Unit at Takeda and the Data Management Team. This is an individual contributor role, so you should be prepared to roll up your sleeves and flex a wide variety of skills. You will be able to adapt quickly to shifting priorities, manage through ambiguity, while keeping focus on key implementation opportunities.

Job responsibilities

  • Act as a trusted advisor and an internal Gen AI consultant to functional stakeholders and internal Takeda Business Units and Business Functions for data science activities.

  • Serve as a Lead for Gen AI use cases and operationalization on complex projects with diverse scope, including primary contact for internal liaison with Oncology US commercial and Global Commercial functions and other parts of the GDD&T organization.

  • Design and build RAG service platform orchestrations including prompt engineering, guardrails, vector databases, API Grounding.

  • Design, develop, and implement MLOps pipelines for Generative AI models, covering data ingestion, preprocessing, training, deployment, and monitoring.

  • Automate ML tasks using GitOps, CI/CD pipelines, and containerization tools such as Docker and Kubernetes.

  • Design and drive the development of models, analytical tools, and productionizing them within models hosted in Azure Open AI, AWS Sagemaker, or equivalent large language models on a modern containerized deployment stack.

  • Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL) and tools (AWS SageMaker, Dataiku, Databricks etc.). This is a hands-on role, and you are expected to code 50%-70% of your time.

  • Performs business readiness check, data access and data quality check, and hands-on exploratory data analysis to gauge the need for or appropriateness of analytical modeling.

  • Acts as central steward of data quality, monitors risks through the holistic review of clinical and operational data, using detailed knowledge of the protocol, considering the specific therapeutic area aspects of the protocol related to the data collected and aligning with cross functional operational plans to drive comprehensive data science modeling tasks.

  • Partner with centralized Demand Management team and GDD&T to monitor and communicate project progress to the sponsor and project team including use of project status reports and tracking tools/metrics.

  • Manage external ML engineers and vendors responsible for building and maintaining ML Pipeline solutions.

  • Performs other work-related duties as assigned.

Basic Requirements/Qualifications

  • Bachelor's degree in Technical Disciplines (Computer Science, Data Science, Information Technology, Economics, Physics, Mathematics or equivalent).

  • 8+ years of experience in data, business insights and ML experience in Life Sciences, primarily in commercial (sales, marketing, medical and access) functions.

  • Deep understanding of modern data technologies, data architecture principles, and AI/machine learning, GenAI and similar technologies.

  • Knowledge of medical terminology, clinical data, and commercial pharma data sources for clinical studies, in particular requirements applicable to Clinical Data Sciences.

  • Experience with Generative AI, including transformers or LLM project work with frameworks, including Huggingface, LangChain, or GPT

  • 2+ years of experience applying large language and generative AI models, including transformers and GPT models.

  • Experience of building chatbots, retrieval augmented generation, and finetuning LLMs.

  • Experience in building production-grade ML/automation pipelines from scratch (model versioning, lineage, monitoring, deployment, optimization, scalability, orchestration, continuous learning).

  • Proficient in Python, SQL, Git, and Jenkins and in frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.

  • Experience in using MLOps frameworks like Kubeflow, MLFlow, and DataRobot.

  • Experience with DataBricks, Dataiku AWS SageMaker, Azure, and data pipeline management tools like Airflow.

  • Minimum 4 - 5 years of experience automating ML build, train, evaluate, and deploy ML models.

  • Minimum 4 to 5 years of experience designing and implementing cloud solutions (AWS, Azure, or GCP).

  • Knowledge of pharma commercial analytical models and domains.

  • Self-starter with the ability to work independently.

  • Strong team player with excellent communication skills.

  • Exceptional troubleshooting and problem-solving abilities.

Preferred Requirements/Qualifications

  • Master's or PhD degree highly preferred with 5 to 6 years of Machine Learning or Data Science experience in Technology companies, Life Sciences, Pharma or Biotech.

Travel Requirements:

  • Minimal travel may be required (less than 10%)

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.

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:

$149,100.00 - $234,300.00

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-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.

Locations

Boston, MA

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time
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A Global Top Employer Takeda is a global, values-based, R&D-driven biopharmaceutical leader headquartered in Japan, committed to discover and deliver life-transforming treatments, guided by our commitment to patients, our people and the planet.

Working at Takeda

  • Inclusion

    Here, you will feel welcomed, respected, and valued as a vital contributor to our global team.
  • Collaboration

    A strong, borderless team, we strive together towards our priorities and inspiring mission.
  • Innovation

    Bold initiatives, continuous improvement, and creativity are at the heart of how we bring scientific breakthroughs from the lab to patients.
  • Top Workplace

    Recognized for our culture and way of working, we’re one of only 17 companies to receive Top Global Employer® status for 2024.
  • Work-Life

    Our people-first mission extends beyond patients to include their families, communities, and our own Takeda family.
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    Through trust and respect, you will have genuine support from leaders, managers, and colleagues to do your best work.

What we believe in

Our values of Takeda-ism are Integrity, Fairness, Honesty and Perseverance, with Integrity as the core. These are brought to life through actions based on Patient, Trust, Reputation and Business, in that order.

Our belief in putting people first extends beyond our patients — it includes their families and communities, as well as our Takeda colleagues and their families.

We are committed to embracing our differences, valuing different perspectives, and fostering a culture of respect, inclusiveness and empowerment.

Our embedded Diversity, Equity & Inclusion (DE&I) strategy enables us to attract and retain exceptional talent, drives innovation, and helps address systemic inequalities in our communities.

  • Integrity

  • Fairness

  • Honesty

  • Perseverance

We're Steadfast In Our Commitment to Four Key Imperatives

Patient


Responsibly translate science into highly innovative medicines and accelerate access to improve lives worldwide.

People


Create an exceptional people experience.

Planet


Protect our planet.

Data & Digital


Transform Takeda into the most trusted, data-driven, outcomes-based biopharmaceutical company.

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About our location

Boston, Massachusetts


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