Funded Postdoctoral Positions

Research Associate - Computational Biology / Bioinformatics (Fixed Term)

We seek a highly motivated computational researcher for a key role within Professor Sir Shankar Balasubramanian's pioneering research programme at the Cancer Research UK Cambridge Institute (CI). Our research focuses on the chemical biology of the genome and epigenome ( Our lab invents and applies new computational methods for the analysis of sequence, structure and chemical modifications in DNA and RNA. This position provides opportunities to develop computational tools at the interface between chemistry, biology and bioinformatics from experimental design to the analysis of novel types of data in collaboration with talented experimental scientists. The post-holder will work as a bioinformatics research scientist contributing to several research areas such as:

Key functions of the role include:

  • Playing a leading role in experimental design, data analysis, visualization and interpretation of genome-wide omics datasets by implementing new computational tools or using existing ones.
  • Performing and developing computational analyses with customised and novel algorithms on experimental datasets obtained from novel ChIP-Seq, RNA-Seq, modified base mapping and other genome sequencing, transcriptomics and proteomics methodologies. This encompasses, for example, expected outcome simulation, signal normalization, data mining, enrichment detection and prediction of secondary structures.
  • Managing research collaborations with experimental scientists and developing independent projects.

Skills required include:

  • Excellent programming/scripting skills in languages such as R or Matlab, Python or Perl, C/C++, Ruby or Java.
  • A good working knowledge of Linux/Unix, with experience in data processing in an HPC cluster environment and basic understanding of computer systems administration.
  • Algorithm development, data mining and statistical analysis of large datasets.
  • Experience in statistical modelling and mathematical tools (e.g. Bayesian statistics, Markov models, simulation models or machine learning).
  • Knowledge of biological data resources (e.g., NCBI, EMBL-EBI, KEGG, ENCODE and ELIXIR).
  • Experience collaborating with experimental scientists e.g. chemists or biologists, and managing several concurrent projects with changing priorities
  • Ability to version control and share research code (e.g. git/GitHub).

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Applicants should have a strong foundation in statistical methods and computational science with a PhD in a computational discipline such as bioinformatics, computational biology/chemistry, computer science or quantitative biology. Previous experience in analysing genomic datasets, especially high-throughput sequencing data, is highly desirable. For academic candidates a consistent record of strong scientific publications is essential. We also welcome candidates with equivalent industrial experience. The position requires strong communication and teamwork skills and involves regular interactions with research scientists and computational researchers within the chemical biology laboratories. The successful candidate will be highly organized, with good time management and the ability to develop multiple projects in parallel. Experience in project management would also be welcomed.

See and for further information.

Please ensure that you upload a 2-page Curriculum Vitae (CV), a covering letter and publications list in the Upload section of the online application. If you upload any additional documents that have not been requested, we will not be able to consider these as part of your application. Apply online

For queries regarding applying online for this post, please contact Jo Lockhart, Science Administrator to Professor Sir Shankar Balasubramanian, email:

Closing date - 20 July 2020

Fixed-term: The funds for this post are available for 2 years in the first instance.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a basic disclosure (criminal records check) check and a security check.

Please quote reference SW21804 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.