GSK
Bangalore
Biotech & Pharmaceutical
Posted Date: Jan 10 2022
Biostatistics is the single-largest functional group of Statisticians, Programmers and Data Scientists within GSK R&D, numbering approx. 700 permanent people in the US, UK, Europe, and India. Our work ensures that robust quantitative examination and statistical analysis is at the heart of R&D decision-making and enables scientists to make timely, data-driven choices about which potential new medicines and vaccines are most promising to add value for patients – ultimately making the development process more efficient and maximizing success.
We are investing in growing our data science capabilities as part of Technical Excellence and Innovation team, which is designed to accelerate Biostatistics at GSK to industry Pre-eminence – that means Biostatistics should be THE BEST in the industry. We do that through teaching, tooling, and empowering the organization for achieving Technical Excellence in Data preparation, Analysis of data and Share the results with modern methodologies and the catalyst of Innovation Excellence.
Excellence is achieved in four Technical products,
Data Excellence deals with the data input pipeline; the storage of data so that is it findable, accessible, interoperable and reusable; enabling the enrichment of data into standardized form (ADaM); metadata; and the governance of that data. Analysis Excellence builds automation based on standards and provides the necessary flexibility and agility to allow a focus on the science and meaning of the data. This will be achieved through seamless integration of standards, tools & metrics; develop a modern, multi-lingual programming framework to accelerate the delivery of standard programming tools; and modern data visualization dashboards to enable better storytelling around our data. Share Excellence optimizes the presentation of the data and analyses; delivers traceability between results and their code, data and metadata; facilitates sharing and review; and ensures compliance with any standards, regulations or requirements for the purpose of use. Innovation Excellence hub is designed to challenge the status quo, address business problems through curiosity, focus, persistence and collaboration to come up with and share for revolutionary results.
Our services are broadly spread across five areas,
Governance on analysis data and results, products/tools, metrics and change management.
Asset Management to drive the development cycle of programming tools and applications.
Consultancy to support, guide and represent the department both inside and outside the organization.
Innovation to create the culture of innovation at all levels by supporting in transforming the ideas into working models.
Measure & Monitor processes, issues, technical skills and usage of tools to ensure it is service the purpose.
Our workforce work as a matrix across all of the products in an agile way and currently we are geographically spread across Europe, India, United Kingdom and United States.
Overall responsibilities
Business and data understanding: After receiving a well-defined business objective, you will build your understanding of the business context, systems, environment, strategy, and people aligned to the given area. This also includes an understanding of the relevant data sources, validity, and domain of such data to align with the intended business objective. You will contribute in conducting data acquisition from relational databases and flat files and wrangle low complexity data sets selecting appropriate techniques, such as parsing, or an algorithm, to create a data structure relevant to the problem.
Data preparation: You will work with team to create required data set(s) utilizing your understanding of routine problems, data formats, applicability of the data to the problem and standard modelling techniques. You can fuse data sources using knowledge of data pre-processing techniques such as transformation, integration, normalization, feature extraction, to identify and apply appropriate methods.
Modelling: For the intended business objective, you can design basic models that perform to requirements and specification. You understand how a model’s requirements or the available data, might change over time and, with guidance, be able to design a product that will be able to cope with these requirements.
Test & validate the model: You can compare results from various methodologies and suggest improvements. You seek feedback and ideas from other subject matter experts from across differing business areas, as relevant, to create better products and continually advance your data science skills.
Communication of insights: You will communicate basic straight forward messages to like-minded audience groups in a clear and simple way, with some ability to respond effectively to challenges.
In the role, you will:
Work in a stimulating and supportive environment; Be part of a dynamic, growing community of data analysts and data scientists at GSK; Have career-long access to our Academy – a dedicated, tailored learning programme that blends your on-the-job learning with targeted coaching, peer-to-peer mentoring, expert-led workshops and a network of learning providers; Work on high impact strategic priorities; deploy GSK’s large, varied data-sets to tackle analytics challenges; Be at the forefront of GSK’s data and analytics transformation.
Core and Technical Competencies, to be successful in this role, you should:
- Be curious and passionate about creative thinking and data innovation, enjoy problem solving and have empathy for the problems you are challenged with contributing to a data science project lifecycle.
- Be able to compile, integrate, and analyze data from multiple sources to answer business questions.
- Have the ability to conceptualize, formulate, prototype, and implement algorithms to solve business problems.
- Basic knowledge in mining data sets using R, Python, SQL etc. from a multitude of environments such as SQL database, Linux/Windows servers etc.
- Basic understanding on some concepts like statistical modelling techniques and the mathematical foundations of applied ML and AI algorithms and models.
Basic Qualifications
- Minimum Master degree in STEM subjects (Computer Science, Machine Learning, Artificial Intelligence, Statistics, Bioinformatics, Engineering, Mathematics)
- Completed data science project(s) as part of academics or internships
- Working knowledge cloud based and local data science frameworks and toolkits.
- Working knowledge in GitHub
- LI-GSK
Our goal is to be one of the world’s most innovative, best performing and trusted healthcare companies. We believe that we all bring something unique to GSK and when we combine our knowledge, experiences and styles together, the impact is incredible. Come join our adventure at GSK where you will be inspired to do your best work for our patients and consumers. A place where you can be you, feel good and keep growing.
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