Data Scientist

A BIT ABOUT US… At F-star, we are dedicated to developing next generation immunotherapies to transform the lives of patients with cancer. We develop mAb², a novel class of disruptive bispecific antibody-based therapies that have the potential to overcome tumor resistance and restore anti-cancer immunity and responsiveness. We are committed to delivering life-changing treatments for the estimated 80% of patients with cancer who currently fail to have a durable response to immunotherapies. Our wholly owned pipeline shows focused and potent immune activation, with a promising safety profile to date. We’re an agile, international team with dual headquarters in Cambridge, UK and Cambridge, Massachusetts. We empower our teams to decide where and when they work to deliver our goals.

The Translational Science team is growing to meet the exciting challenges of pre-clinical and clinical big data initiatives at F-star, including DNA and RNA expression, digital spatial profiling and proteomics.  
We are now seeking a creative, proactive and highly motivated Bioinformatician/Data Scientist with strong expertise in cancer genomics and/or immuno-oncology to join the team. 
The role, which is fully integrated in the Translation Sciences group, will involve working across multiple teams and projects to deliver actionable insights from clinical and pre-clinical data and developing F-star’s bioinformatics capabilities to discover new biomarkers. You will generate novel hypothesis and develop our biomarker plans through the design of experiments and the analysis of in-house generated and publicly available multi-omics clinical pharmacology datasets.  
•    Work within and across teams to understand various scientific and technical challenges and proactively impact these using bioinformatics.  
•    Apply appropriate analytical approaches to deliver actionable insights driving patient selection, biomarker discovery and development of the next generation of cancer therapeutics. 
•    Integrate publicly and in-house generated dataset to produce multiparametric analysis from different biomarker platforms. 
•    Provide innovative ways to identify and visualise meaningful patterns in complex data.  
•    Develop methods for omics-based characterization of drug response. 
•    Work within and across multidisciplinary teams/projects to translate findings into clinically applicable biomarkers for patient response and stratification. 
•    Work collaboratively to influence generation of data assets.  
•    Share code and train peers in the tools critical to understanding complex data.  
•    Collaborate with industry partners and academia.  
•    Publish your work in high impact journals.

You will have a MSc/PhD/DPhil in bioinformatics, computational biology, natural sciences/molecular biology/genetics/biochemistry, bioengineering, computer science, statistics, pure/applied maths, physics, or a related field. 

You’ll have applied your data science/bioinformatic research expertise in a cancer research/immunology related fields (e.g., cancer genomics and/or immuno-oncology projects) for a number of years, and have experience in analysing and integrating data from one or more of the following: genetics, transcriptomics (single cell or bulk), proteomics and flow. 

You’ll be proficient with R statistical programming, and familiar with linear and mixed models, Bayesian Inference and machine learning. 

You’ll have the capability of successfully managing multiple simultaneous projects, with excellent communication and presentation skills, both face-to face and in remote environments.

Whilst not essential, having the following skills and experience would be advantageous;

•    Experience in industry/biotech and/or core facility environments. 
•    A deep understanding of the tumour microenvironment and the molecular mechanisms driving cancer. 
•    Background in working with clinical data. 
•    Experience in developing automated pipelines. 
•    Familiarity with cancer databases: TCGA, ICGC, Cosmic etc. 
•    Knowledge in immunology/immuno-oncology

We get things done, we keep things simple and we’re driven by the science. We’re ambitious so we work hard to create an environment where we can take smart risks. We want to be innovative so encourage debate and collaboration to challenge the usual way of doing things. We love our celebrations, socialising and perks, which make F-star a fun and diverse place to work.  And most of all, everyone has the opportunity to make a difference.

•    Pension 
•    Equity Incentives
•    Private Medical Insurance and Health Cash Plan
•    Life assurance
•    25 days paid holiday, plus the option to buy 5 days 
•    Travel insurance
•    Enhanced Maternity, Paternity, Adoption pay
•    Agile working opportunities
This is a full-time position working 37.5 hours per week. F-star is proud to fully embrace agile working which gives you options in how, where and when you get your work done, including flexible working hours and home working.

Our Laboratories and office space are based on the Babraham Research Campus, South Cambridgeshire. This role requires some travel to our offices.

If you feel this role is right for you, we’d love to hear from you. 
To apply, please visit our website: and upload your CV for us to view. Those that shine brightest will be contacted to discuss the role further, however, we aim to get back to everyone with a response either way.
We may choose to close the role sooner than the application closing date depending on volume of candidates and so we encourage early applications.
If, along the way, you experience any difficulties with applying via our website, please email

We aspire to be a diverse and inclusive workplace and strongly encourage suitably qualified applicants from a wide range of backgrounds to apply.
As part of our compliance in relation to the General Data Protection Regulations 2018 (GDPR) you can find our ‘Candidate Privacy Notice’ on the careers section of website. 

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