At a Glance
- Tasks: Develop innovative algorithms and machine learning models for genomics and biological data analysis.
- Company: Join a cutting-edge research team at the forefront of genomics and AI in healthcare.
- Benefits: Competitive salary, bonus, flexible working, and opportunities for career progression.
- Other info: Collaborative environment with access to significant compute resources and potential leadership opportunities.
- Why this job: Make a real-world impact by transforming complex data into actionable insights.
- Qualifications: PhD or equivalent experience in computational biology or related fields; strong programming skills required.
The predicted salary is between 59400 - 72600 £ per year.
Your new company
You'll be joining an innovative research team developing next-generation technologies at the intersection of genomics, artificial intelligence, and healthcare. You'll be part of a multidisciplinary department of computational scientists, bioinformaticians, engineers, and researchers applying advanced analytics to large-scale biological datasets and real-world scientific challenges.
Your new role
As a Senior Scientist, you will develop novel computational methods that transform complex sequencing data into actionable biological insights and support novel product development to have a real-world impact. This is a genuine methods development role, focused on creating new algorithms and ML/AI approaches rather than applying existing bioinformatics pipelines. The role is permanent and hybrid working - it requires some time on site (preferably 3 days/week but potentially flexible for the right candidate).
Key responsibilities include:
- Designing and developing novel algorithms for genomics, sequencing, and large-scale biological data analysis
- Building and evaluating machine learning models to address complex scientific and translational research questions
- Validating and benchmarking new computational methods using large public and proprietary datasets
- Working closely with bioinformaticians and software engineers to deploy methods within scalable, reproducible workflows
- Collaborating across computational, biological, and data science teams to translate research into practical applications
- Taking ownership of scientific projects from concept through implementation, evaluation, and delivery
There is the potential to take on some people leadership with this role, but the position can equally stay as a high-level technical expert.
What you'll need to succeed
A successful candidate will combine strong quantitative skills with genuine experience developing new computational methods. You should have:
- A PhD (or equivalent experience) in Computational Biology, Computer Science, Mathematics, Statistics, Physics, Machine Learning, Bioinformatics, or a related quantitative discipline
- Proven experience developing novel algorithms, computational methods, or machine learning models, preferably within genomics or other large-scale biological data domains
- Strong understanding of data structures, algorithms, statistical modelling, and quantitative problem-solving
- Excellent programming skills in Python, with experience in other languages an advantage (eg C, C++, Julia, R, Rust, etc)
- Experience owning projects and delivering computational tools, models, or analytical methods from development through validation
- Experience with sequencing data, cloud computing, workflow development, ML Ops, or large-scale data infrastructure would be advantageous
- The ability to independently lead projects and drive scientific direction with minimal supervision
What you'll get in return
As well as a highly competitive salary and package, plus bonus, you'll have the chance to make a significant real-world impact in the field of genomics. You'll be working with highly capable and collaborative scientists and have access to significant compute resource. There's also significant flexibility around working styles and patterns and good opportunities for career progression and development.
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 us now. 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.
Senior Scientist - Computational Method Development in Oxford employer: Hays Specialist Recruitment Limited Careers
Hays Education is an exceptional employer, offering a supportive and collaborative work environment for SEN SLD/PMLD teachers in the Hounslow/Hillingdon area. With access to exclusive vacancies, ongoing professional development, and a dedicated consultant to guide your career, you will find ample opportunities for growth while making a meaningful impact on the lives of pupils with special educational needs. Join us to be part of a community that values inclusivity and fosters both personal and professional development.
Contact Details:
Hays Specialist Recruitment Limited Careers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Scientist - Computational Method Development in Oxford
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We think you need these skills to ace Senior Scientist - Computational Method Development in Oxford
Some tips for your application 🫡
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How to prepare for a job interview at Hays Specialist Recruitment Limited Careers
✨Brush Up on Lab Techniques
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Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.
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