Postdoctoral Training Fellow - Genomics And Evolutionary Dynamics (Computational)

THE INSTITUTE OF CANCER RESEARCH; England; On-site; GBP 36,000 - 48,000; Full time

Benefits offered by this job

Dynamic research environment

Professional development opportunities

Competitive salary and pension

Job summary

The Institute of Cancer Research in the United Kingdom is seeking a Postdoctoral Training Fellow to lead computational oncology research. You will focus on quantitative analyses of multi-omic longitudinal colorectal cancer datasets to understand metastatic evolution and develop predictive insights.

The successful candidate will have a PhD in bioinformatics with strong genomic analysis and HPC skills, and be proficient in R and Python.

Qualifications

• PhD in bioinformatics or relevant area.
• Proven genomic analysis experience in HPC environments.
• Ability to design and use bioinformatic and statistical tools (R, Python).
• Appropriate publication record for level of experience.

Responsibilities

• Lead computational oncology research analyzing multi-omic, longitudinal datasets.
• Investigate evolutionary trajectory to metastasis and predictive questions.
• Collaborate with an interdisciplinary team in a dynamic research environment.

Skills

Genomic analysis

HPC experience

Statistical modelling

R

Python

Education

PhD in bioinformatics

Tools

R

Python

Job description

Under the guidance of Professor Trevor Graham, we are seeking to appoint a Postdoctoral Training Fellow to lead the computational oncology research, focusing on quantitative analyses of multi-omic, longitudinal colorectal cancer datasets generated by our team. This focus of this exciting work will be on understanding the evolutionary trajectory to metastasis, and we will aim to address questions such as “When does metastasis happen, and can it be predicted?” and “Can the epigenome be exploited to prevent or treat metastasis?”.

About you

The successful candidate must have:

• PhD in bioinformatics or other relevant area.
• Proven expertise in genomic analysis, and working in a high-performance computing environment, and ideally of mathematical and statistical modelling of these data
• Ability to design and use bioinformatic and statistical tools for data analysis (e.g., R, Python etc.).
• Appropriate publication record for level of experience
• Good communication, observation and time-management skills, and the ability to interact effectively with other team members in a highly interdisciplinary team.

Candidates who are nearing completion of their PhD may apply, but confirmation on awarded PhD is required within 6 months of employment. The ICR has a workforceagreement stating that Postdoctoral Training Fellows can only be employed for up to 7 years as PDTF at the ICR, providing total postdoctoral experience (including previous employment at this level elsewhere) does not exceed 7 years. For general information on Postdocs at The ICR, more information can be found here.

Department/Directorate Information

The Centre for Evolution and Cancer (CEC), within the Division of Cancer Biology, is a multidisciplinary centre, comprising around 50 staff dedicated to understanding cancer evolution and leveraging this knowledge for translational benefit. Our interests span early detection through to treatment of metastatic disease. The CEC brings together expertise in evolutionary theory, computational biology and bioinformatics together with cutting-edge research ability in cell and molecular biology to provide a stimulating and creative interdisciplinary environment where new approaches to tackling cancer can thrive.
The Genomics and Evolutionary Dynamics team combine molecular and cellular biology together with mathematical and computational modelling to study the evolution of malignancy. We focus on early detection in the gastrointestinal tract, colorectal cancer evolution and treatment response, and pan-cancer genomics. We perform basic research into the biology of the human body in health and disease and translate our findings to improve clinical care of patients affected by cancer.

What we offer

• A dynamic and supportive research environment
• Access to state-of-the-art facilities and professional development opportunities
• Collaboration with leading researchers in the field
• Competitive salary and pension