Investigator Data Sciences

5 days ago

Stevenage, United Kingdom GSK Full time

**Site Name**: UK - Hertfordshire - Stevenage, Heidelberg, USA - Pennsylvania - Upper Providence

**Posted Date**: Mar 4 2024

The new Data and Predictive Sciences (DaPS) function in Research Tech is focused on harnessing the power of GSK’s data-as-an-asset to drive research productivity.

As an Investigator in Data Sciences aligned to Target Discovery and Human Genetics & Genomics, you will collaborate with scientists in Research Tech functions to develop and deliver consistent high-quality, high-impact industry-leading data sciences solutions ready for industrialization.

Data & Predictive Sciences will only be successful by working in close collaboration with Research Tech, Therapeutic Areas, Scientific Digital & Tech, Onyx Research Data Platform, AIML, Risk & Compliance, and across lines within the function itself. Success will require developing and fostering a high-performing team culture of collaboration, curiosity, consistency, agility, quality, peer review, and continuous improvement with a relentless focus on realizing value through end-user uptake and measurable impact. If this sounds like a culture you will thrive in, please apply.

We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme.

We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.

Discover more about our company wide benefits and life at GSK on our webpage _Life at GSK | GSK_

**In this role you will**
- Deliver data solutions with measurable cross-organizational impact and value, including but not limited to: code libraries, analytical pipelines, data processing pipelines, visualizations, front-end tools, etc.
- Design and build solutions that leverage existing or planned cloud infrastructure from partner functions in Scientific Digital & Tech and GSK’s Onyx Research Data Platform.
- Enable facile data collation, preparation, and storage, perform exploratory data analysis to identify trends, patterns, and anomalies in the data and communicate findings.
- Contribute to the overall Data & Predictive Sciences goals and objectives via implementation of relevant components of those objectives.
- Collaborate with research scientists and stakeholders to understand data needs and deliver appropriate solutions. Work with your Team Leader to prioritize your book of work.
- Work with other data scientists to build an understanding of the business context, systems, environment, strategy and people aligned to this area. This includes an understanding of the relevant internal and external high-volume data sources, validity and domains of such data aligned with business objectives.

**_ Why you?_**

**Basic Qualifications & Skills**:
**We are looking for professionals with these required skills to achieve our goals**:

- PhD or equivalent professional experience with a Masters in a relevant scientific domain with a significant data sciences component.
- Proficiency in one or more programming languages: e.g. Python (preferred), R, Java, Javascript, including toolchains for documentation, testing and operations.
- Scientific knowledge and/or acumen to understand GSK’s research data, including knowledge of genetics, omics, chemistry, biology or related scientific disciplines.
- Experience assembling (preparing raw data for analysis), analysing, and visualizing complex scientific data.
- Demonstrated ability to work in a team across scientific and technical disciplines to deliver impactful solutions, build trusting relationships, and realize lasting business value in a matrix environment.

**Preferred Qualifications & Skills**:
**Please note the following skills are not necessary, just preferred, if you do not have them, please still apply**:

- Knowledge and experience of data analysis in scientific areas aligned to Target Discovery and Human Genetics & Genomics such as bioinformatics, cheminformatics, omics, statistics, image analysis, protein and small molecule structure.
- Cloud experience (e.g. Google Cloud, AWS, Azure, Kubernetes). Experience with modern software development tools / ways of working (e.g. Object-Oriented Programming, git/GitHub, DevOps tools, CI/CD, metrics / monitoring,)
- Experience with Nextflow.
- Experience of open-source software contribution or public library (Python, R, etc) development.
- Familiarity and/or experience with concepts related to Data Fabric, Data Mesh, and Data as an asset.
- Strong knowledge of statistical analysis, machine learning, and data manipulation libraries (e.g. pandas, scikit-learn, PyTorch would be advantageous).
- Experience with databases, data warehousing, building data pipelines, big data technologies and working with large scale biology, chemi

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