Posted:22 hours ago|
Platform:
On-site
Full Time
Our vision for health, care and research is simple. Sanius Health is an AI-powered patient-generated data platform with a focus on accelerating personalised medicine, drug discovery and clinical research for cancer treatment, haematological malignancies, haematological disorders and rare diseases. We are the largest Sickle Cell Disease Integrated patient ecosystem and are expanding this to include other conditions.
We partner with passionate patients, treatment centres, researchers, developers of therapeutics and regulators in advancing outcomes for patients through our health data platform.
Above all, we care about changing the world we inherited for those who will come after us. Making a positive impact on human health takes insight, curiosity, and intellectual commitment. It takes brave minds, and pushing the boundaries to transform healthcare. Regardless of your role, you will have the opportunity to play an important part in helping our partners drive healthcare forward and ultimately improve outcomes for patients. Forge a career with greater purpose, make an impact, and never stop learning.
Are you a recent graduate or someone looking to switch to an entry-level role in the tech industry? Are you looking for a new challenge and an opportunity to further advance your skills and career in a great working environment?
If you are a highly motivated individual with a genuine interest in Artificial Intelligence, we have the perfect job for you!
We trust each other to get the job done, so you’ll have a lot of autonomy here while also being part of a supportive close-knit team! We’re a diverse team with a huge variety of backgrounds, identities, and experiences, so you can be sure you’ll feel welcome from day one.
As an AI Developer, you will...
• You will be assisting the team lead/architect in executing end-to-end AI/ML solutions for projects, including design and implementation
• Consulting with managers/leads to determine, refine, and implement machine learning objectives.
• Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
• Transforming data science prototypes and applying appropriate ML algorithms and tools. Ensuring that algorithms generate accurate user recommendations.
• Turning unstructured data sets into useful information to be used in the AI/ML training. Solving complex problems with multi-layered data sets, as well as optimising existing machine learning libraries and frameworks.
• Developing ML algorithms to analyse big volumes of historical data to make predictions, using big-data techniques where appropriate. Running tests, performing statistical analysis, and interpreting and validating test results.
• Documenting and reviewing Key Design Decisions and processes, producing technical documentation. Keeping abreast of developments in machine learning technology.
• Able to work in fast-paced, high-demand and delivery-oriented environments and able to adapt approach and style to meet shifting priorities
• Work with the rest of the R&D data engineers and software engineers conveying the design and implementation for the programmes and ensuring adherence to the technology principles and processes.
• Transforming data science prototypes and applying appropriate ML algorithms and tools. Ensuring that algorithms generate accurate user recommendations.
• You should be a self-motivated team player who is able to work independently and on your own initiative.
• Excellent organisational skills are required along with the ability to communicate confidently both written and verbally. • You should be customer and quality-driven, but pragmatic and commercially aware.
• Bachelor's degree in computer science, data science, mathematics, or a related field.
• A master’s degree in computational linguistics, data analytics, or similar will be advantageous.
• At least one year experience as a machine learning engineer or a higher degree in AI/ML.
• Advanced proficiency with Python and R code writing, and experience with Azure ML.
• Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture.
• In-depth knowledge of mathematics, statistics, and algorithms.
• Superb analytical and problem-solving abilities.
• Great communication and collaboration skills.
• Excellent time management and organisational abilities.
We offer more than just your standard benefits package. We promote a healthy work-life balance for all our employees and want to ensure we support our team to be successful both professionally and personally.
• Professional development budget • Bonus structure for all teams
• Promoting from within the team first
Someone who shares our passion for creating a world where patients have ownership of their health. Don’t worry if you don’t meet all the requirements we listed, we’re looking for someone who is eager to grow with us.
Sanius Health
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