Principal Scientist Oncology Genomics

Job Description:

The GSK Oncology Genomics team in Research Technologies is seeking a highly motivated Oncology Computational Biologist. Your focus will be to apply computational biology skills and methods to discover and develop the next generation of oncology therapeutics. You will work in an inter-disciplinary environment, frequently interfacing with wet-lab and translational scientists, clinicians, statisticians, and AI/ML colleagues among others.

Successful applicants will feel comfortable and energized working in a dynamic and highly collaborative environment, and must have strong analytical skills, a foundation in cancer biology and computational biology, a sense of accountability, and the ability to effectively communicate complex scientific findings.

GSK's Oncology portfolio has seen significant growth in the past two years. In the late-stage setting, we have seen numerous approvals and positive Phase 3 readouts. We also have several early-stage programs aiming to enter the clinic this year. Oncology is now posed to be a significant growth driver for GSK, allowing us to be ambitious for patients and continue investment into early drug discovery. To achieve these aims requires leadership in computational biology to derive decision making insights from complex oncology genetic and genomic datasets.

Key Responsibilities:

• Analyses and integration of complex cancer datasets. This includes analysis of gene & protein expression (bulk + single cell + spatial), somatic mutations, copy number alterations, and structural variants.

• Develop and use bioinformatics pipelines using R, Python, and bash with version control systems (Git, Docker).

• Use of bioinformatic pipelines on cloud computing platforms (AWS, GCP) and database technologies (SQL, BigQuery).

• Experience utilizing and interpreting publicly available cancer datasets (e.g., TCGA, CPTAC, DepMap, PRISM)

• Apply statistical methods and machine learning algorithms to identify patterns in data, predict drug response, and discover potential biomarkers. Critically evaluate results. Conduct survival analysis to assess the impact of various factors on patient outcomes.

• Communicate complex scientific findings clearly to both technical and non-technical audiences.

• Contribute effectively as a member of a multidisciplinary team, sharing expertise, and act as a subject matter expert to work collaboratively towards project objectives.

• Maintain current knowledge of advancements in cancer research and computational biology.

Basic Qualifications:

We are looking for professionals with these required skills to achieve our goals:

• PhD +0-2 years postdoc/industry experience OR MS with 6-10 years of related experience in Computational Biology, Bioinformatics, Cancer Biology, or a related field.

• Strong understanding of cancer biology and the drug discovery process.

• Demonstrated proficiency in Python or R, with experience building bioinformatic workflows and documenting code with version control.

• Proficiency in utilizing high performance (HPC) and cloud computing platforms (AWS, GCP) and databases (SQL, BigQuery) in a UNIX environment.

• Familiarity with computational methods to analyze one or more of following genomics data types:

- Transcriptomics data (bulk/single cell RNA-seq)

- Spatial data analysis (imaging, spatial omics, multiplex IF)

- Whole genome (WGS), whole exome (WES), or other DNA sequencing data

- Proteomics (O-link, mass-spec)

• Experience working with large-scale oncology datasets (e.g., TCGA, CPTAC, DepMap, PRISM)

• Understanding of statistical methods, machine learning and/or AIML algorithms, and survival analysis techniques.

Preferred Qualifications:

If you have the following characteristics, it would be a plus:

• Experience with single-cell and spatial data analysis

• Experience with large-scale real-world datasets.

• Experience with drug discovery & development in oncology

• A strong publication record or impactful first author paper.

• Excellent written and oral communication skills, able to present complex data to varied audiences.

• Highly independent, eager to learn new areas and build expertise

• Desire to positively contribute to the development of the larger team

#LI-GSK

Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

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Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

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