# Principal Scientist (Genomic Technologies, Human Genetics and Genomics)

**Company**: GSK
**Experience**: senior
**Job type**: full-time
**Salary**: £74,250 to £123,750 per annum, $121,275 to $202,125 per annum, €74,250 to €123,750 per annum
**Category**: Data Science
**Industry**: Healthcare

**Apply**: https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/Heidelberg---Office/Principal-Scientist--m-f-d--Genomic-Technologies--Human-Genetics-and-Genomics_449889-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_91f0e0bf-f32

## Description

We are seeking an innovative Principal Scientist to join our Genomic Technologies team within GSK R&D Translational Sciences.

The successful candidate will work on projects aligned to current areas of focus, including:

- Discovery of new causal gene-phenotype links through analysis of large-scale individual level human genetic data.

- Identification of causal genes, disease-relevant mechanisms and cell types, potential drug targets, candidate biomarkers, patient subgroups and disease subtypes, through integration of genetic association data across multiple ‘omic and phenotypic layers.

- Predictive modelling of presence, direction and magnitude of causal gene-phenotype links, using genetic and ‘omic data, mechanistic annotation, inferred causal networks, and genome-scale perturbation data.

Responsibilities:

- Evaluating, improving, testing, and developing production implementations of best-in-class methods for analysis of genetic data, in collaboration with scientists in Data and Predictive Sciences, Biostatistics, or/and AI/ML teams.

- Generating large-scale analysis outputs, and/or implementing state-of-the-art tools for dynamically analysing, interpreting, and visualizing genetic and genomic data.

- Collaborating with partners in applied and translational teams across HGG, in experimental Target Discovery, and in GSK disease area Research Units, to influence portfolio and pipeline decisions.

- Staying informed about recent research in the field and considering its potential for application within GSK.

- Contributing to a culture of innovation, quality, and willingness to learn and improve.

Qualifications, Skills and Experience:

- Advanced degree (PhD or equivalent) in a relevant scientific discipline.

- Experience working with large scale biobank data, such as UK Biobank and All of Us.

- Excellent programming skills in R or python, and application of techniques in reproducible research, literate programming, FAIR data principles, or software development.

- Experience of evaluating, improving, testing, and/or developing methods for analysis and interpretation of large-scale genetics data.

- Strong communication and team-working skills.

Preferred Skills & Experience:

- Deep understanding of statistical genetics methodology.

- Experience working in cloud-based Trusted Research Environments.

- Experience with machine learning and/or advanced statistical methods.

- Experience working in multidisciplinary teams on complex and impactful projects.

- Experience with analysis of very large datasets using distributed or cloud computing technologies (e.g. SQL, PySpark, BigQuery, Docker, Nextflow).

Salary ranges:

- UK: £74,250 to £123,750 per annum

- USA: $121,275 to $202,125 per annum

- Germany: €74,250 to €123,750 per annum

## Skills

### Required
- Applied Statistics
- Data Analysis
- Data Engineering
- Data Science
- Genetic Analysis
- Genomic Analysis
- Machine Learning (ML)
- Software Engineering
- Python
- R

### Nice to have
- Statistical Genetics
- Cloud-based Trusted Research Environments
- Machine Learning
- Distributed Computing
- SQL
- PySpark
- BigQuery
- Docker
- Nextflow

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