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GlaxoSmithKline Pharmaceuticals

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4.1

based on 1.8k Reviews

Video summary

1 GlaxoSmithKline Pharmaceuticals Principal Data Scientist Job

Principal Data Scientist

GlaxoSmithKline Pharmaceuticals Limited

4.1

based on 1.8k Reviews

9-12 years

Bangalore / Bengaluru

1 vacancy

Principal Data Scientist

GlaxoSmithKline Pharmaceuticals

posted 14hr ago

Job Role Insights

Flexible timing

Key skills for the job

Pharmacy Data Analytics Biomedical Engineering Healthcare Social Media Marketing Procurement

+ 4 more

Job Description

Skill Set / Exposure: Programming Background, R Package, R Shiny, Agile Methodologies, Data Visualization, GitHub, Stakeholder Management, Azure and (SAS, Python or SQL) Preferred.

You should have a broad interest in the application of data science to address varied business problems.
You will also need to have a strong grounding in R and have experience of delivering value through predictive modelling, tools and applications.
A background in our history of working with biomedical and clinical data is a plus.
You will need to operate in matrix teams on a wide range of projects using agile ways of working collaboratively with other SDS-IH colleagues and partners from the wider Biostatistics, Data Science and R&D community.
You will be expected to help drive delivery and uptake of data science solutions across R&D, and to effectively communicate complex technical concepts to a range of stakeholders.

Key Responsibilities:

As a Principal Data Scientist and R Developer within the Data Science team your responsibility will be to help solve business challenges within Biostatistics and our partner organizations and use a variety of Data Science tools and methods to deliver Proof of Value initiatives.
Innovation/Technical Knowledge.
The diverse Data Science team consists of subject matter experts from a variety of technical backgrounds and this is reflected in the broad range of initiatives that we support.
Our deliverables can take the form of a training course/webinar, a statistical model, an R package, an application, or even a computing environment.
This technical role will support in the creation of these deliverables and therefore requires a broad basis of technical knowledge, encompassing aspects of application development, DevOps, statistics and machine learning.
Leadership and Teamwork.
You will provide technical input and direction on various initiatives from pilots through to larger production deliveries.
This includes close collaboration with our business partners to identify possible solutions and deliver the expected business value within the agreed timelines.
You will receive mentorship from senior team members, and work with partners from the wider Biostatistics community as applicable.
Capability Development. In order to deliver SDS-IH s capability development objective, it is expected that you are proactive in promoting Data Science tools and methods both internally and externally.
This includes active participation and engagement with colleagues on internal social media channels.
You will therefore be expected to keep up to date with the latest tools and methods coming from the Data Science community and work with SDS-IH technical experts to ensure clear messaging for the wider Biostatistics and Data Science communities.

Basic Requirements:

MSc (preferred) or BSc degree (or equivalent) in STEM subjects (eg Computer Science, Machine Learning, Artificial Intelligence, Statistics, Bioinformatics, Engineering, Mathematics, Physics, Chemistry)
Practical experience in delivering Data Science products/solutions to business stakeholders
Familiarity with the Programming Language R
Developing analytic scripts and software in R
Familiarity with the R package landscape, in particular tidyverse, table and plotting packages
Familiarity with common Data Science tools/practices like the RStudio and git/GitHub
Experience of Pharma R&D, including drug development (preferred) or related healthcare industry, including clinical trial operations and regulatory compliance
Excellent written, data visualization and verbal communication skills and demonstrated ability to effectively communicate complex technical concepts to different audiences
An unbiased approach to solving problems with Data Science
The ability to solve complex problems both analytically and programmatically

Preferred Skills:

The following characteristics are desirable:
Knowledge or experience with R package development, Shiny App development, R data structures and object systems (eg S3, S4, R6), CI/CD, and data storage formats and technologies including relational database
An awareness of other programming languages such as Python, SQL, and SAS
Experience presenting complex concepts to non-experts
The "forever-student" mentality, continuously looking for opportunities to learn, build skills and share learning both internally and externally.

Employment Type: Full Time, Permanent

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