2 Devise Jobs

Job Responsibilities: Developing and maintaining all server-side network & backend components. Writing and maintaining reliable Ruby code. Ability to write clean Ruby code. Integrating data storage solutions. Ensuring optimal performance of the central database and responsiveness to front-end requests. Collaborating with front-end developers on the integration of elements. Designing customer-facing UI and back-end services for various business processes. Developing high-performance applications by writing testable, reusable, and efficient code. Implementing effective security protocols, data protection measures, and storage solutions. Running diagnostic tests, repairing defects, and providing technical support. Documenting ROR processes, including database schemas, as well as preparing reports. Maintaining APIs as applicable. Job Requirements: Experience working with ruby on rails as well as libraries like Resque and RSpec. Ability to write clean ruby code. Proficiency with code versioning tools including Git, Github, SVN, and Mercurial. Experience with AngularJS or BackboneJS. Familiarity with MVC, Mocking, RESTful, and ORM. Good understanding of front-end technologies including HTML5, JavaScript, and CSS3. Knowledge, Skills, and Abilities: Must have strong work ethic. Must be highly organized. Excellent oral and written communication skills are required. Attention to detail is required. Solutions-oriented problem solver Must be open to work as a team and have self-start. Must self-motivate and deliver results with limited oversight Qualifications (Experience and Education): Bachelors degree in Computer Science, Information Technology or related field of study, required. Intermediate knowledge/proficiency in Microsoft Office, required. A combination of training, education, and experience that is equivalent to the qualifications listed above and that provide the required knowledge, skills, and abilities. Industry level experience in Web development would be an advantage. Why Join LLMSoftware.com? Be part of a fast-growing, AI-driven company with a global vision. Build next-generation software powered by cutting-edge AI, automation, and great design. Collaborate with a high-performing, inclusive, and remote-friendly team. Work on real-world, scalable platforms used by businesses around the world. How to Apply To apply, send your resume and GitHub/portfolio links to careers@llmsoftware.com with the subject line: Software Developer Ruby On Rails LLMSoftware.com is an equal opportunity employer. We value diversity and are committed to fostering an inclusive workplace for all team members.

Principle purpose of the role The Senior Data Scientist supports the management of the Bioscript Data Insights team and supports the development and execution of data insights within the Bioscript Group. The Senior Data Scientist plays a pivotal role in helping shape our data strategy, designing, and implementing advanced data analytics solutions. Key Responsibilities/Accountabilities Leadership and Strategy: Manage data scientists, providing mentorship, guidance, and fostering a collaborative and innovative environment. Excellent leadership, communication, and interpersonal skills. Provide supervision and mentorship to junior data scientists, fostering a culture of growth and excellence. Assist the Lead in defining, prioritising and executing the data science strategy in alignment with the company's goals and mission. Collaborate with cross-functional teams to identify opportunities for data-driven insights across research, development, and commercialisation. Communicate evolving data science strategies and outcomes clearly to stakeholders, ensuring a shared understanding. Convey findings to organisational decision-makers, facilitating the integration of data insights into strategic planning. Establish and enforce standard practices around delivery processes with version and change control. Stay current with emerging trends, techniques, and technologies in data science to drive innovation within the company. Data Analysis and Modelling Employ diverse data sources to conceptualise and construct advanced models and algorithms, addressing intricate business challenges. Transform business issues into machine-learning problems, using domain knowledge to define suitable approaches. Demonstrate expertise in various machine learning algorithms, NLP, steering the team towards judicious algorithm selection and implementation. Prepare raw data for modelling by executing comprehensive pre-processing techniques. Train, validate, and assess machine learning models to ensure robust performance. Devise, manage, and deploy data science pipelines and applications, aligning them with the organisations long-term vision. Strategically communicate and disseminate data and insights by leveraging cutting-edge data visualisation techniques. This enhances the accessibility and impact of data-driven findings. Ensure the excellence of data science products delivered by the team through rigorous quality assurance practices. Employ diverse methods including SQL queries, web scraping, and API calls to aggregate data from multiple sources. Interpret data trends and patterns to drive informed decision-making. Education / Experience Ph.D. or masters degree in data science Proven track record of leading data science projects Strong expertise in data engineering, NLP, machine learning, statistical analysis, data mining, or data visualisation techniques. Proficiency in programming languages such as Python, R, and experience with relevant libraries and frameworks, and data pipeline tools like Fabric, Databricks or Snowflake. Familiarity with database management and database design, data layout for data lakes, and data engineering best practices. Familiarity with biological and clinical data types and their challenges Excellent leadership, communication, and interpersonal skills.