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Form of work
Salary
Your new company
You\'ll be joining one of the most exciting and forward thinking statistical machine learning groups in the industry at a leading biotech who are rapidly expanding their innovation and data science teams by adding Machine Learning specialists at multiple levels to join some of the leading figures in data science and statistics.
This group works with teams throughout the business focusing on model and method development and applying new approaches to draw insights out of clinical & research data to drive forward their drug development.
The company invest heavily in R&D providing a number of opportunities to grow your career and make a significant impact to patients around the world.
Your new role
The position is working within a team focused on statistical innovation and developing/applying machine & deep learning approaches to analyse data from drug discovery and development projects. This role can be partly home based.
You will be an integral part of a wider project and R&D team, working with colleagues to ensure final delivery of multiple important projects.
Main responsibilities will include a mix of:
- Acting as a technical lead on projects;
- Developing, validating and assessing ML methods, models, algorithms or approaches, with a particular focus on introducing/maintaining statistical rigour;
- Working with clinical and biological / pre-clinical researchers to analyse a variety of data sets, eg clinical trial, biomarker or genomic data;
- Input into study design, research parameters and statistical analyses, including modelling approaches to find the optimal way of working;
- Hands-on programming in python and potentially R or Julia;
- Using data science, statistics or machine learning approaches to analyse and interpret pre-clinical data sets;
- Data interpretation and visualisation.
What you\'ll need to succeed
As well as strong communication skills for dealing with internal collaborators and stakeholders, you should have:
- An MSc (ideally PhD) in bioinformatics, machine learning, statistics or computer science - or equivalent experience;
- Strong programming skills in R and/or Python or a similar language, eg Julia;
- A track record utilising a variety of statistical approaches to analyse data;
- Experience working with genomic, clinical trial or biological data sets is significantly preferred;
- Strong hands-on experience utilising data science, machine learning approaches (random forest, graph networks, neural nets, SVM, supervised / unsupervised learning, etc) or deep learning frameworks (pytorch, Tensorflow); and
- Experience with data mining, statistics or data visualisation.
Candidates who can demonstrate novel method, model or package development are encouraged to apply, as are those who have a track record publishing in top-tier journals / conferences, such as NeurIPS, ICML, etc
What you\'ll get in return
You\'ll get the chance to make a significant impact on the company\'s drug discovery and development projects, taking on project leadership for a number of different aspects.
The company are relatively open on salary bands depending on the skills of the person coming in and the benefits package associated with the role is quite generous.
The projects this group work on often involve exposure to very senior stakeholders (Global VP level) and so can offer excellent career advancement.
What you need to do now
If you\'re interested in this role, click \'apply now\' to forward an up-to-date copy of your CV, or call me on .
If this job isn\'t quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career, especially as there are a number of other bioinformatics, data science and statistics positions available.
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