Associate Director, Oncology Genomics

Key Skills

Aartificial intelligence, Analytical and Problem solving, Bash scripting, Bioinformatics, Biostatistics, Effective communication skills, Genetics, Machine learning techniques, Oncology, Project management, Python Programming, R Programming

Job Description

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. They will be involved in the processing and analysis of NGS data (with a focus on WES/WGS, SNVs/CNVs, ctDNA) and will need a solid understanding of computational approaches for cancer genome analysis and cancer biology to derive meaningful and reproducible biological insights. Experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics, and in deriving insights from such analyses will be advantageous. The successful candidate will be leading multidisciplinary teams to answer complex scientific questions and will have strong communication skills and the ability to convey complex ideas and concepts to a range of stakeholders, including peers and leaders.

Key Responsibilities:

• Process and analyse 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.

Why you?

Basic Qualifications:

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

• PhD in a quantitative subject e.g. Bioinformatics, Biostatistics, Computational Biology, Epidemiology with combined academic and or industry experience of 5+ 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:

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

• 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.

Closing Date for Applications: January 31st 2024

Please take a copy of the Job Description, as this will not be available post closure of the advert.

Why GSK?

We’re combining the power of genetic and genomic insights into what causes disease, with the speed and scale of artificial intelligence and machine learning (AI/ML) to make better predictions about who a treatment might work for, and why. We believe this powerful combination of data and technology holds the key to fundamentally transforming medical discovery for the better, improving R&D success rates and shaping how even the most challenging diseases, like neurological conditions and cancer, can be both prevented and treated.

In 2021 we delivered four major product approvals: Cabenuva for HIV, Jemperli for endometrial cancer, Xevudy for COVID-19 and Apretude, our new long-acting medicine for HIV prevention.

Find out more:

Our approach to R&D.

LI-GSK

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

Why 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. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We’re 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.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).

GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.