Salary for research scientist

Average salary

3200 £

Basic salary	700 £
Maximum Wage	6700 £

700 £
Lowest

3700 £
Average

6700 £
Highest

research scientist - How much money do you make working at this position?

The average salary for the research scientist position is 3200 £

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AUTODESK	12241 £
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Salary in companies

AUTODESK	12241 £	700 £ 12241 £
ADLIB	7500 £	700 £ 12241 £
MICROTECH GLOBAL	6666 £	700 £ 12241 £
MCGREGOR BOYALL CONSULTING	5625 £	700 £ 12241 £
HARNHAM	5600 £	700 £ 12241 £
CRANLEIGH SCIENTIFIC	5416 £	700 £ 12241 £
PARK STREET	5120 £	700 £ 12241 £
RISE TECHNICAL RECRUITMENT	5000 £	700 £ 12241 £
TALENT WORKS INTERNATIONAL	5000 £	700 £ 12241 £
HAYS SPECIALIST RECRUITMENT	4450 £	700 £ 12241 £

Comment on the job position of research scientist

Requirements

ph.D. or equivalent experience in microbiology, molecular biology, or a related field
proven expertise in Campylobacter research, with a strong publication record demonstrating contributions to the field
an understanding of CRISPR would be beneficial but not essential
knowledge of phage-bacteria interaction would be a plus
excellent analytical and problem-solving skills, with the ability to work both independently and collaboratively in a fast-paced research environment
proven experience in working on grants and managing projects, demonstrating effective time and effort management to meet deadlines
strong written and oral communication skills, with the ability to effectively communicate scientific concepts, writing papers and reports
proficiency in molecular biology techniques such as molecular cloning and genome engineering with reference to Campylobacter would be desirable
ideally, prior relevant industrial R&D
commitment to quality, safety, and compliance with regulatory standards in laboratory practices
minimum of 1 year of research & development experience in industry Proficient knowledge of Tensorflow, PyTorch or similar Deep Learning frameworks
ability to write high quality code
extensive experience with state of the art Deep Learning. architectures, like ResNets, GANs or transformers
experience in relevant fields, such as Computer Vision, Speech Processing, Machine Learning and Deep learning
experience with Speech Recognition either using Kaldi toolkit or wav2vec models
masters Degree or higher in Computer Science or other relevant area
commercial experience with serving out DL models using Tensorflow or PyTorch etc
publications in top-tier conferences or journals
deep knowledge of a programming language in Linux environment; working knowledge of multiple languages
ph.D. in Computer Science or STEM field

Responsibility

lead the development and scaling of machine learning models at the intersection of research and product
collaborate with the engineering teams to find and resolve distributed deep learning training bottlenecks such as checkpointing, model/optimizer compression etc…
optimize data flows through the model and overall architecture
leverage frameworks such as Open Neural Network Exchange and TensorRT to create high performance model endpoints
writing robust, testable code that is well documented and easy to understand
analyze errors and provide solutions to problems that arise
present the results of your work to collaborators and leadership
leverage distributed deep learning frameworks, such as DeepSpeed, FSDP etc…, to perform scaling experiments with the support of engineering and data teams
conduct research to develop solutions against Campylobacter pathogenesis in poultry
optimize Guided Biotics to enhance efficiency in targets train Campylobacter
collaborate with cross-functional colleagues to integrate CRISPR technology into our product candidate
improve the delivery efficiency of the Guided Biotic into the target strain Campylobacter
analyse experimental data, interpret results, and present findings to internal stakeholders and external partners through written reports and oral presentations
stay current with the latest advancements in Campylobacter research and CRISPR technology to identify innovative opportunities for product development
collaborate closely with Research Managers to craft tailored projects that align with each client's requirements throughout the entire project lifecycle
using R and/or Python programming to deliver data science solutions from start to finish, applying machine learning to business problems
leverage sophisticated data modelling, predictive analysis, and analytical methods to generate actionable findings
supporting the process of developing alternative machine learning solutions
team leadership - working closely with a team of up to 16 Scientists. Guiding, motivating, and pushing for results
R&D programs - project management of high-tech energy storage applications and ensuring targets are kept within strict timeframes

Current offers for the position

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