Registers of Scotland
Senior Data Scientist (Natural Language Processing) Total Remuneration: £57,879 to £68,146 Pay Supplement:The base salary for this role is £46,677 - £54,957 This job qualifies for Digital, Data and Technology Annual Pay supplement of 24% which is included in the total remuneration above. Pension: 28.97% of base salary (RoS contribution) Annual Leave: 38 days annual holiday, increasing to 42 days with length of service. Duration: Permanent Working Pattern: 35 hours per week. We are a flexible employer and will consider a variety of working patterns. Location: Hybrid working model. Contractual base either at Meadowbank House, Edinburgh (EH8 7AU), or St Vincent Plaza, Glasgow (G2 5LD). You will be expected to occasionally visit either of these office locations and attend events in other locations as per the requirements of the role. Number of vacancies: 1 Grade: Senior Executive Officer Closing date: Thursday 10 July at 11:59pm Registers of Scotland (RoS) Join an award-winning organisation recognised for its technology and innovation. Registers of Scotland is a world-leading pioneer in land and property registration. Our full-stack teams design, architect, and build all our registration products in-house. We work to create digital solutions for the people of Scotland. You will get an opportunity to nurture your creativity and develop with us through access to the latest data, software engineering and product delivery techniques. This job is for you if you want Work with purpose: working for the people of Scotland to set the bar for land and property registration worldwide. Flexible and hybrid working: depending on the role and team requirements, work when and where it's best for you and your stakeholders. Benefits: enjoy pay progression, pension contributions of up to 28.97%, up to a year's parental leave, and 38 days annual holiday, increasing to 42 days with length of service. Investment in professional development: we invest in all our people so that they have the right skills to be productive and confident in their job. Diversity and Inclusion: We are an 'Investor in People' and a 'Disability Confident' employer. We are inclusive, stronger together, and committed to putting our people first. Positive work culture: RoS is an agile, digital organisation using leading-edge technology.Colleagues understand their role in achieving our strategy and have the autonomy to deliver. To learn more about RoS and what we offer visit our careers pages or watch this short video. Hear from our colleagues about their experience of working within our Digital, Data and Technology teams on our website. The Role This is an exciting new role aimed at growing our data science capability, and the adoption of data-driven methods (including ML/AI) more widely within the business. You will work with a range of colleagues and teams to help solve complex business problems, unlock business insight and value from semi-structured and structured data, support data-driven decision-making and develop new data products for internal and external (commercial) customers. The role does not have initial line management responsibilities, but this may change as the Data Science team and ML Ops support grows. This role sits within our Digital, Data, and Technology directorate, aligned to the Data and Analytics department, and reports directly to the Head of Data Science. On a typical day you will Work closely with a range of colleagues, including product managers, data engineers, subject matter experts, and analysts to identify, formulate and solve business problems. Develop credible rule- or model-based methodologies to discover knowledge, create data products, data-driven tools and reports and to improve data quality. Explore, analyse and transform complex land and property data in a range of formats and structures and in particular, process semi- or unstructured legal text to extract meaningful information. Document methodologies to deliver reproducible and explainable work. Use suitable evaluation strategies and metrics to evaluate outputs. Gather feedback and monitor the continued performance and accuracy of outputs, including of trained models, as applicable. Build understanding of Registers of Scotland data, business processes, strategic objectives and the policy environment in which we operate. Draw on government and industry technical/analytical standards and frameworks and adhere to the UK Government data ethics framework. Communicate insights and results to technical and non-technical audiences using presentations, data visualisation and data storytelling. Build awareness of technical, regulatory and social developments in industry. Support development of the team by participating in strategy development, communities of practice and team capability building. Key Responsibilities Essential Criteria - Skills and Attributes for Success Technical: We will assess you against the following bolded Experience and Technical skills during the application and all during the assessment process: Proficient at SQL querying, including full text search. Proficient in coding for data science using Python. Demonstrates good coding practice like version control, testing and containerisation. Comfortable working in a Linux environment. Some familiarity with LLM/GenAI prompting and augmentation for textual analysis, with an interest in learning more. Experience working with commonly used data science libraries and frameworks, e.g. Spacy, pandas, numpy, scikit-learn, Keras/TensorFlow, PyTorch, LangChain, Huggingface transformers etc. Familiar with both on-premises and cloud-based platforms (e.g. AWS). Working understanding of ML Ops workflows and ability to perform basic model deployment without ML Ops support. Experience Criteria Bachelor's/master's degree in a quantitative field or the Digital Humanities (e.g. Computational Linguistics, Data Science, Computer Science or a related field), or equivalent experience. Broad knowledge of data science tools and approaches, with in-depth knowledge of language processing techniques. Strong analytical skills and experience with ability to critically select, combine and apply a range of scientific methods. Expert understanding and application of Natural Language Processing techniques. Experience of text mining, data annotation and model development. Awareness of Data and AI Governance considerations - ethics, transparency and explainability, licensing and regulation. Commercial awareness and awareness of product delivery life cycle (within an Agile delivery context). Competencies At application stage, you will be scored against the bolded Competencies and against the remaining all Competencies for the assessment: Leading and Communicating/Collaborating and Partnership/Building Capability for All (Engaging People cluster) Thinking Wider/Changing and Improving/Analysis and Making Effective Decisions (Setting Direction cluster) Delivering Value for Money/Delivering a Quality Service/Demonstrating Commitment and Drive) Stage one - Application Process To apply, click on 'Apply now' and complete the online application form. You will need to submit: A CV outlining your career history and how you meet the technical/experience criteria (max 4 pages). Responses explaining how you meet the required technical/experience competency aspects of the role (maximum 250 words per answer in the spaces provided). Answer 3 binary style technical questions After the deadline for applications, all applicants will be sent a short on-line test via the platform Hackerrank, which will assess you technical proficiency. You will have 72 hours in which to complete this. Please note: If we receive a high volume of applications, we may complete an initial sift on Technical and Experience Criteria and technical proficiency test. We reserve the right to invite candidates to participate in a telephone interview prior to being further assessed. Applications that are not accompanied by CVs or responses exceeding 250 words per competency will not be considered. Applicants who do not complete the online assessment will not be considered. We would strongly recommend that your statement is written in the STAR format (Situation, Task, Action & Result) and preparing your answers using software such as MS Word or Google Docs, and then uploading the file. We strongly advise you review our policy on responsible use of AI in the application process. RoS may check answers with an AI detection tool and will contact you for a pre-screening call to verify your responses. Applications and appointments are subject to a strict merit-based assessment process, in line with the Civil Service Recruitment Principles. Stage two - assessment If successful at application stage, you will be invited to an in-person interview which will include the following: Competency based interview Further technical whiteboarding exercise Information on our Competency Framework . click apply for full job details
Senior Data Scientist (Natural Language Processing) Total Remuneration: £57,879 to £68,146 Pay Supplement:The base salary for this role is £46,677 - £54,957 This job qualifies for Digital, Data and Technology Annual Pay supplement of 24% which is included in the total remuneration above. Pension: 28.97% of base salary (RoS contribution) Annual Leave: 38 days annual holiday, increasing to 42 days with length of service. Duration: Permanent Working Pattern: 35 hours per week. We are a flexible employer and will consider a variety of working patterns. Location: Hybrid working model. Contractual base either at Meadowbank House, Edinburgh (EH8 7AU), or St Vincent Plaza, Glasgow (G2 5LD). You will be expected to occasionally visit either of these office locations and attend events in other locations as per the requirements of the role. Number of vacancies: 1 Grade: Senior Executive Officer Closing date: Thursday 10 July at 11:59pm Registers of Scotland (RoS) Join an award-winning organisation recognised for its technology and innovation. Registers of Scotland is a world-leading pioneer in land and property registration. Our full-stack teams design, architect, and build all our registration products in-house. We work to create digital solutions for the people of Scotland. You will get an opportunity to nurture your creativity and develop with us through access to the latest data, software engineering and product delivery techniques. This job is for you if you want Work with purpose: working for the people of Scotland to set the bar for land and property registration worldwide. Flexible and hybrid working: depending on the role and team requirements, work when and where it's best for you and your stakeholders. Benefits: enjoy pay progression, pension contributions of up to 28.97%, up to a year's parental leave, and 38 days annual holiday, increasing to 42 days with length of service. Investment in professional development: we invest in all our people so that they have the right skills to be productive and confident in their job. Diversity and Inclusion: We are an 'Investor in People' and a 'Disability Confident' employer. We are inclusive, stronger together, and committed to putting our people first. Positive work culture: RoS is an agile, digital organisation using leading-edge technology.Colleagues understand their role in achieving our strategy and have the autonomy to deliver. To learn more about RoS and what we offer visit our careers pages or watch this short video. Hear from our colleagues about their experience of working within our Digital, Data and Technology teams on our website. The Role This is an exciting new role aimed at growing our data science capability, and the adoption of data-driven methods (including ML/AI) more widely within the business. You will work with a range of colleagues and teams to help solve complex business problems, unlock business insight and value from semi-structured and structured data, support data-driven decision-making and develop new data products for internal and external (commercial) customers. The role does not have initial line management responsibilities, but this may change as the Data Science team and ML Ops support grows. This role sits within our Digital, Data, and Technology directorate, aligned to the Data and Analytics department, and reports directly to the Head of Data Science. On a typical day you will Work closely with a range of colleagues, including product managers, data engineers, subject matter experts, and analysts to identify, formulate and solve business problems. Develop credible rule- or model-based methodologies to discover knowledge, create data products, data-driven tools and reports and to improve data quality. Explore, analyse and transform complex land and property data in a range of formats and structures and in particular, process semi- or unstructured legal text to extract meaningful information. Document methodologies to deliver reproducible and explainable work. Use suitable evaluation strategies and metrics to evaluate outputs. Gather feedback and monitor the continued performance and accuracy of outputs, including of trained models, as applicable. Build understanding of Registers of Scotland data, business processes, strategic objectives and the policy environment in which we operate. Draw on government and industry technical/analytical standards and frameworks and adhere to the UK Government data ethics framework. Communicate insights and results to technical and non-technical audiences using presentations, data visualisation and data storytelling. Build awareness of technical, regulatory and social developments in industry. Support development of the team by participating in strategy development, communities of practice and team capability building. Key Responsibilities Essential Criteria - Skills and Attributes for Success Technical: We will assess you against the following bolded Experience and Technical skills during the application and all during the assessment process: Proficient at SQL querying, including full text search. Proficient in coding for data science using Python. Demonstrates good coding practice like version control, testing and containerisation. Comfortable working in a Linux environment. Some familiarity with LLM/GenAI prompting and augmentation for textual analysis, with an interest in learning more. Experience working with commonly used data science libraries and frameworks, e.g. Spacy, pandas, numpy, scikit-learn, Keras/TensorFlow, PyTorch, LangChain, Huggingface transformers etc. Familiar with both on-premises and cloud-based platforms (e.g. AWS). Working understanding of ML Ops workflows and ability to perform basic model deployment without ML Ops support. Experience Criteria Bachelor's/master's degree in a quantitative field or the Digital Humanities (e.g. Computational Linguistics, Data Science, Computer Science or a related field), or equivalent experience. Broad knowledge of data science tools and approaches, with in-depth knowledge of language processing techniques. Strong analytical skills and experience with ability to critically select, combine and apply a range of scientific methods. Expert understanding and application of Natural Language Processing techniques. Experience of text mining, data annotation and model development. Awareness of Data and AI Governance considerations - ethics, transparency and explainability, licensing and regulation. Commercial awareness and awareness of product delivery life cycle (within an Agile delivery context). Competencies At application stage, you will be scored against the bolded Competencies and against the remaining all Competencies for the assessment: Leading and Communicating/Collaborating and Partnership/Building Capability for All (Engaging People cluster) Thinking Wider/Changing and Improving/Analysis and Making Effective Decisions (Setting Direction cluster) Delivering Value for Money/Delivering a Quality Service/Demonstrating Commitment and Drive) Stage one - Application Process To apply, click on 'Apply now' and complete the online application form. You will need to submit: A CV outlining your career history and how you meet the technical/experience criteria (max 4 pages). Responses explaining how you meet the required technical/experience competency aspects of the role (maximum 250 words per answer in the spaces provided). Answer 3 binary style technical questions After the deadline for applications, all applicants will be sent a short on-line test via the platform Hackerrank, which will assess you technical proficiency. You will have 72 hours in which to complete this. Please note: If we receive a high volume of applications, we may complete an initial sift on Technical and Experience Criteria and technical proficiency test. We reserve the right to invite candidates to participate in a telephone interview prior to being further assessed. Applications that are not accompanied by CVs or responses exceeding 250 words per competency will not be considered. Applicants who do not complete the online assessment will not be considered. We would strongly recommend that your statement is written in the STAR format (Situation, Task, Action & Result) and preparing your answers using software such as MS Word or Google Docs, and then uploading the file. We strongly advise you review our policy on responsible use of AI in the application process. RoS may check answers with an AI detection tool and will contact you for a pre-screening call to verify your responses. Applications and appointments are subject to a strict merit-based assessment process, in line with the Civil Service Recruitment Principles. Stage two - assessment If successful at application stage, you will be invited to an in-person interview which will include the following: Competency based interview Further technical whiteboarding exercise Information on our Competency Framework . click apply for full job details
Every Cure
Every Cure is an AI-driven nonprofit, biotech organization that was founded to uncover and repurpose existing drugs to treat the millions of patients who suffer from diseases without approved treatments. By focusing on drug repurposing, we aim to provide affordable and accessible therapies for those suffering from diseases that are often overlooked in traditional drug development. Through artificial intelligence technologies, collaboration with healthcare professionals, and patient advocacy, Every Cure is dedicated to unlocking the full potential of existing medicines to treat every disease and every patient we possibly can. Inspired by Every Cure's co-founders' work repurposing drugs for Castleman disease and other rare diseases, Every Cure has been featured in USA Today, Good Morning America, and Wall Street Journal. Led by a talented leadership team and outstanding Board of Directors, Every Cure is supported through funding from leading philanthropic organizations like Chan Zuckerberg Initiative and Elevate Prize Foundation and a federal contract with ARPA-H. AI-Powered Identification: We use advanced artificial intelligence to analyze the world's biomedical knowledge and identify FDA-approved drugs that can be repurposed for untreated conditions. Open-Source Commitment: We are dedicated to making our predictive pipeline open-source, fostering collaboration and transparency within the scientific community. High-Impact Focus: We prioritize drug repurposing opportunities that can benefit neglected patient communities. Rigorous Validation: Promising opportunities are thoroughly validated through laboratory and clinical studies. Equitable Access: We are committed to ensuring that new cures are accessible to all patients. The Data Scientist at Every Cure will be critical in applying large language models (LLMs), transformers, and cutting-edge machine learning methodologies to support downstream validation in drug repurposing predictions. The Data Scientist will collaborate with data engineers, clinical scientists, tech translators, and business leadership to develop, implement, and validate advanced models and algorithms aimed at transforming drug discovery and repurposing. How you'll make an impact - Advance Model Development: Design, develop, and deploy LLM-based models and algorithms to generate and validate drug repurposing predictions. Innovate: Apply transformers and advanced NLP techniques in the context of biomedical knowledge graphs and clinical data integration. Collaborate: Partner with clinical scientists, business leaders, and fellow data scientists to translate research challenges into scalable data science solutions. Optimize: Support downstream validation efforts to ensure model outputs are biologically sound. Support & Communicate: Present complex models and validation approaches to both technical and non-technical stakeholders. Grow Together: Contribute to and grow with a team of expert data scientists. What you'll bring to the team - Education: Bachelor's in Data Science, Computer Science, Computational Biology, Bioinformatics, Statistics, or a related field, with 3+ years of relevant experience OR a Graduate degree in these fields with 0-3 years of experience. Strong background in machine learning, including deep learning and transformer models. Experience: Hands-on experience with transformer and foundation models, and the ability to handle large datasets. Strong expertise in the application of LLMs for biological data. Familiarity with drug repurposing or biomedical knowledge graphs is a strong plus. Experience using large-scale data frameworks and machine learning toolkits such as PyTorch and HuggingFace. Strong coding standards, including adherence to best practices. Ability to quickly learn new domains and solve complex problems. Hands-on experience with graph engines such as Neo4J is a plus. A demonstrated track record of success in fast-paced environments. Professional or academic experience in biology, chemistry, or drug discovery is highly valued. Compensation & Benefits - Your paycheck: Competitive salary based on experience, ranging from £50,000 - £90,000 annually. Health and wellness: Comprehensive plans with medical, dental, and vision coverage. Future nest egg: A pension plan with an employer match of 3%. Relax and recharge: Generous time off, including paid holidays. We have you covered: Comprehensive life and income protection. This role is based in London with an expectation of minimum 3 days per week in office. Every Cure is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Are you legally authorized to work in the United Kingdom? Select Will you now or in the future require sponsorship for employment visa status in the United Kingdom? Select How did you learn about this job opportunity? Select
Every Cure is an AI-driven nonprofit, biotech organization that was founded to uncover and repurpose existing drugs to treat the millions of patients who suffer from diseases without approved treatments. By focusing on drug repurposing, we aim to provide affordable and accessible therapies for those suffering from diseases that are often overlooked in traditional drug development. Through artificial intelligence technologies, collaboration with healthcare professionals, and patient advocacy, Every Cure is dedicated to unlocking the full potential of existing medicines to treat every disease and every patient we possibly can. Inspired by Every Cure's co-founders' work repurposing drugs for Castleman disease and other rare diseases, Every Cure has been featured in USA Today, Good Morning America, and Wall Street Journal. Led by a talented leadership team and outstanding Board of Directors, Every Cure is supported through funding from leading philanthropic organizations like Chan Zuckerberg Initiative and Elevate Prize Foundation and a federal contract with ARPA-H. AI-Powered Identification: We use advanced artificial intelligence to analyze the world's biomedical knowledge and identify FDA-approved drugs that can be repurposed for untreated conditions. Open-Source Commitment: We are dedicated to making our predictive pipeline open-source, fostering collaboration and transparency within the scientific community. High-Impact Focus: We prioritize drug repurposing opportunities that can benefit neglected patient communities. Rigorous Validation: Promising opportunities are thoroughly validated through laboratory and clinical studies. Equitable Access: We are committed to ensuring that new cures are accessible to all patients. The Data Scientist at Every Cure will be critical in applying large language models (LLMs), transformers, and cutting-edge machine learning methodologies to support downstream validation in drug repurposing predictions. The Data Scientist will collaborate with data engineers, clinical scientists, tech translators, and business leadership to develop, implement, and validate advanced models and algorithms aimed at transforming drug discovery and repurposing. How you'll make an impact - Advance Model Development: Design, develop, and deploy LLM-based models and algorithms to generate and validate drug repurposing predictions. Innovate: Apply transformers and advanced NLP techniques in the context of biomedical knowledge graphs and clinical data integration. Collaborate: Partner with clinical scientists, business leaders, and fellow data scientists to translate research challenges into scalable data science solutions. Optimize: Support downstream validation efforts to ensure model outputs are biologically sound. Support & Communicate: Present complex models and validation approaches to both technical and non-technical stakeholders. Grow Together: Contribute to and grow with a team of expert data scientists. What you'll bring to the team - Education: Bachelor's in Data Science, Computer Science, Computational Biology, Bioinformatics, Statistics, or a related field, with 3+ years of relevant experience OR a Graduate degree in these fields with 0-3 years of experience. Strong background in machine learning, including deep learning and transformer models. Experience: Hands-on experience with transformer and foundation models, and the ability to handle large datasets. Strong expertise in the application of LLMs for biological data. Familiarity with drug repurposing or biomedical knowledge graphs is a strong plus. Experience using large-scale data frameworks and machine learning toolkits such as PyTorch and HuggingFace. Strong coding standards, including adherence to best practices. Ability to quickly learn new domains and solve complex problems. Hands-on experience with graph engines such as Neo4J is a plus. A demonstrated track record of success in fast-paced environments. Professional or academic experience in biology, chemistry, or drug discovery is highly valued. Compensation & Benefits - Your paycheck: Competitive salary based on experience, ranging from £50,000 - £90,000 annually. Health and wellness: Comprehensive plans with medical, dental, and vision coverage. Future nest egg: A pension plan with an employer match of 3%. Relax and recharge: Generous time off, including paid holidays. We have you covered: Comprehensive life and income protection. This role is based in London with an expectation of minimum 3 days per week in office. Every Cure is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Are you legally authorized to work in the United Kingdom? Select Will you now or in the future require sponsorship for employment visa status in the United Kingdom? Select How did you learn about this job opportunity? Select