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57 GlaxoSmithKline Pharmaceuticals Jobs
Quality Data Scientist
4-8 years
Bangalore / Bengaluru
1 vacancy
Quality Data Scientist
GlaxoSmithKline Pharmaceuticals
posted 2mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Years of Experience: 16+ Years
Key Responsibilities
- Lead NLP Initiatives: Drive development and implementation of advanced NLP models to analyze unstructured text data related to clinical monitoring, quality, and risk management.
- Build and Optimize Predictive Models: Apply machine learning techniques to identify patterns and trends, with a focus on preventing/corrective actions for improving quality assurance practices.
- Collaborate Across Teams: Partner with cross-functional teams, including other data science business and tech teams within GSK, quality assurance, and clinical operations, to understand and solve critical business challenges.
- Ensure Model Governance: Implement and monitor best practices for model governance, accuracy, and reliability in a highly regulated environment, ensuring adherence to industry standards and regulatory requirements.
- Data Preprocessing and Cleaning: Oversee data acquisition, preprocessing, and quality control of complex datasets, working with structured and unstructured data in the RD domain.
- Lead Data Science Projects: Mentor and guide junior data scientists and analysts, ensuring robust project management, timely delivery, and effective stakeholder communication.
- Continuous Improvement: Identify opportunities to improve data workflows, tooling, and processes for enhanced productivity and reproducibility.
- Research and Innovation: Stay abreast of industry trends and advancements in NLP, machine learning, and generative AI to drive innovation within the quality and risk management framework.
- Performance Metrics and Reporting: Establish and track key performance indicators to assess model impact and value, aligning outcomes with organizational quality and risk management goals.
- Develop Gen AI Solutions: Explore and integrate generative AI models to innovate on complex language tasks such as summarization, data synthesis, and anomaly detection.
Education Requirements
A bachelors degree in computer science, statistics, mathematics
Job Related Experience
- Proven experience in data science, predictive modelling, and statistical analysis.
- Proficiency in programming languages commonly used in data science, such as Python, R, and SQL.
- Experience with data visualization tools like Power BI, Shiny Web Apps, and similar platforms.
- Application of machine learning algorithms and statistical modelling techniques.
- Natural Language Processing (NLP) to derive actionable insights.
- Strong problem-solving skills and the ability to translate business problems into analytical use-cases.
- Excellent communication skills to effectively interact with business stakeholders and tech partners.
- A good understanding of drug research and development and quality
Other Job-Related Skills
- Advanced knowledge of analytics tools and capabilities: The candidate should be proficient in using advanced analytics tools and be capable of leveraging them to analyse complex data sets.
- Strong understanding of RD Quality and Risk Management: The candidate should have a deep understanding of quality and risk management within an RD context.
- Data Analysis Skills: The candidate should be able to interpret complex data and translate it into information that can be understood by non-technical stakeholders.
- Communication Skills: The candidate should have strong communication skills to effectively convey data insights to business stakeholders.
- Problem-Solving Skills: The candidate should have strong problem-solving skills to translate business problems into analytical use-cases.
- Technical Skills: Proficiency in programming languages commonly used in data science, such as Python, R, and SQL, and experience with data visualization tools like Power BI, Shiny Web Apps, and similar platforms.
- Knowledge of Machine Learning: The candidate should have a deep understanding of machine learning algorithms and statistical modelling techniques.
- Familiarity with Natural Language Processing (NLP): The candidate should have knowledge of NLP to handle use-cases in areas like text summarizations, sentiment analysis, topic modelling, and trend analysis.
- Leadership Skills: The candidate should have excellent leadership skills to effectively interact with business stakeholders and tech partners, and to drive the implementation of data science tools and solutions in a matrixed environment.
Why GSK
Important notice to Employment businesses/ Agencies
Employment Type: Full Time, Permanent
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What people at GlaxoSmithKline Pharmaceuticals are saying
Rating based on 1 Data Scientist
review
Anonymous · Data Science & Machine Learning
in Hyderabad / Secunderabad
Likes
they are really very flexible
Dislikes
office is too small in hyderabad
Read 1 reviewData Scientist salary at GlaxoSmithKline Pharmaceuticals
reported by
14
employees
₹8
L/yr - ₹22.2
L/yr
13%
less
than the average Data Scientist Salary in India
View more details
What GlaxoSmithKline Pharmaceuticals employees are saying about work life
based on 1.8k employees
Flexible timing
Monday to Saturday
Within city
Day Shift
GlaxoSmithKline Pharmaceuticals Benefits
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