Senior Data Scientist

Posted 7 Hours Ago
Be an Early Applicant
Tokyo
Senior level
Healthtech • Biotech • Pharmaceutical
The Role
The Senior Data Scientist will develop and automate AI/ML applications using cloud platforms, ensuring scalability and compliance. Responsibilities include designing AI solutions, data engineering, model deployment on Azure, performance monitoring, and facilitating teamwork among data scientists and engineers to promote best practices in AI/ML.
Summary Generated by Built In

About the Role:
Join GSK Global as a Senior AI/ML Engineer and lead the development and automation of AI/ML applications and platforms that drive our global business units and local markets. Work with cutting-edge technologies like generative AI/LLMs and existing MLOps platforms to ensure GSK remains at the forefront of AI and machine learning innovation.
Key Responsibilities:

  • AI/ML Application & Platform Development: Design and implement AI solutions that directly impact strategic decision-making and operational efficiency.
  • Data Engineering: Architect and build scalable data processing to acquire, process, and integrate data into data platform from various sources to support analytics and data science applications.
  • Model Deployment: Develop and implement strategies for deploying ML models to production using Azure Databricks and MLFlow.
  • Performance Monitoring: Ensure models deployed into ML Platform meet specified expected performance using Databricks' MLOps stack.
  • Infrastructure Design: Build scalable infrastructure for data processing, model training, and inference using Azure services.
  • Automation: Automate CI/CD workflows and pipelines for ML models and applications using Azure DevOps and Databricks Asset Bundles.
  • Collaboration: Work closely with data scientists, software engineers, and other stakeholders to deliver robust end to end solutions.
  • Communication: Simplify complex technical concepts for non-technical stakeholders.
  • Compliance: Ensure data integrity, security, and compliance using Azure Data Lake and Databricks.
  • Best Practices: Serve as a steward to promote and establish best practices for ML model development, deployment, and monitoring to wider team.

Why Join Us:

  • Be part of a team dedicated to innovation and staying at the leading edge of AI/ML in pharmaceutical industry.
  • Work with the latest technologies in a dynamic and collaborative environment.
  • Influence strategic decision-making and drive global AI/ML initiatives.

Apply Now:

If you’re passionate about AI/ML and want to make a global positive impact to patients, we’d love to hear from you. Apply today to join our innovative team at GSK.

Required Qualifications:

  • More than 5 years of software engineering experience.
  • More than 3 years of hands-on experience in a production environment on any cloud platform
  • Experience with command-line scripting, data structures, and algorithms; ability to work in a Unix environment.
  • Hands-on experience building out production-ready machine learning or generative AI solutions at scale. 
  • Proven hands-on experience in an advanced Data & Analytics environment.
  • Strong data wrangling skills and experience with Azure cloud services.
  • Experience in building scalable data infrastructure and automating workflows.
  • Ability to communicate complex technical concepts clearly.
  • Commitment to continuous learning and staying updated with new technologies.

Preferred Qualifications:

  • Advanced degree in Computer Science, Data Science, Economics, Business, Statistics, applied mathematics or other quantitative fields or a related field.
  • Experience in the pharmaceutical or healthcare industry.
  • Familiarity with MLOps tools and frameworks.
  • Strong understanding of data security and compliance regulations.
  • Previous experience working in a global team setting.
  • Skill in leading a multifunctional team for at least a complete project cycle
  • More than 2-3 years of (continuous) hands-on experience experience with PySpark.
  • Experience working in Microsoft Azure Databricks and Azure Open AI Service. Understanding AWS and GCP cloud platforms is a plus
  • Experience with machine learning and data-pipeline orchestration
  • Knowledge of performance, scalability, and software engineering best practices.
  • Fundamental knowledge in pharmaceutical industry (e.g. Related laws, Promotion guideline, Pharmacovigilance, Wholesaler)
  • Knowledge of Japan pharmaceutical industry business and related data (primary/secondary sales data, ULTMARC data, IQVIA data, Digital data, other 3rd party data, etc.)

Education/Certification/Language

  • Project Management Education or equivalent certificate (Agile preferred)
  • JLPT N2 or above is nice to have

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

Top Skills

AI
Azure
Azure Devops
Databricks
Ml
Mlflow
Mlops
The Company
HQ: Brentford
105,615 Employees
On-site Workplace

What We Do

A science-led global healthcare company with a special purpose: to help people do more, feel better, live longer.

We have three global businesses that research, develop and manufacture innovative pharmaceutical medicines, vaccines and consumer healthcare products.

We aim to bring differentiated, high-quality and needed healthcare products to as many people as possible, with our three global businesses, scientific and technical know-how and talented people.

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