Associate Director, Oncology Genomics Specialist

4 weeks ago

Stevenage, Hertfordshire, United Kingdom 1925 GlaxoSmithKline LLC Full time
Job Summary

We are seeking a highly skilled and experienced individual to join our team as an Associate Director of Oncology Genomics. The successful candidate will have a key role in the analysis of large-scale somatic genomic and clinical data, applying cutting-edge algorithms and developing automated methods to support large-scale bioinformatics analysis.

Key Responsibilities:
  • Process and analyze large-scale somatic genetic datasets (WES/WGS, SNVs, CNVs) and integrate with clinical/phenotypic datasets to derive biological insights.
  • Develop automated methods to support large-scale somatic genetic, bioinformatic analyses and collaborate closely with other teams (statistical genetics/AIML) to develop advanced algorithms and models.
  • Integrate complex molecular data (e.g. transcriptomics, proteomics, metabolomics) to derive insights and understand the underlying biology.
  • Lead multidisciplinary teams effectively to answer complex scientific questions.
  • Communicate complex ideas and concepts to a range of stakeholders, including peers and leaders.
  • Collaborate with cross-functional teams to support the development and implementation of oncology genomics strategies.
  • Stay up-to-date with the latest advancements and trends in oncology genomics and molecular data integration.
  • Evaluate and implement new methodologies and technologies to improve the efficiency and effectiveness of data analyses.
  • Foster a culture of collaboration, innovation, and continuous learning within the team.
  • Ensure compliance with relevant regulations and guidelines in the field of oncology genomics.
Requirements:
  • PhD in a quantitative subject e.g. Bioinformatics, Biostatistics, Computational Biology, Epidemiology with combined academic and/or industry experience of 8+ years.
  • 3+ years' programming skills experience (e.g. Bash, R, Python) and bioinformatic tools (bcftools) and workflow management systems (e.g. nextflow).
  • 3+ years' experience in processing and analysis of large-scale genomic datasets, (genetic data analysis including SNVs/CNVs, WES/WGS required), and data interpretation through integration with clinical/phenotypic information.
  • 3+ years' experience in cancer research, including a deep understanding of computational approaches for cancer genome analysis.
Preferred Qualifications:
  • Proven ability to effectively lead multidisciplinary teams to answer complex scientific questions.
  • Evidence of independence in leading research projects and of the ability to develop novel statistical or bioinformatical methods.
  • Advantageous to have experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics.
  • Strong communication skills to convey complex ideas and concepts to a range of stakeholders.
  • Excellent problem-solving and analytical skills to address complex scientific questions.
  • Strong collaboration and partnership skills to work effectively with cross-functional teams.
  • Excellent project management skills with a focus on delivering results.
About Us

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 organization where people can thrive.

We are committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.

GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles.

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