Harnham - Data & Analytics Recruitment
Cambridge, Cambridgeshire
SENIOR BEHAVIOURAL DATA SCIENTIST REMOTE £70,000 - £90,000 COMPANY: We are working with a healthcare scale up who leverage clinical trial and survey data, they aim to drive innovation, enhance patient outcomes, and optimize healthcare solutions. We are currently seeking an experienced Senior Data Scientist to join their team and work with behavioural data, to better understand customers. ROLE: Lead the development and implementation of advanced data science models and algorithms, leveraging clinical trial and survey data. Design and execute complex data analyses to extract meaningful patterns, trends, and insights. Collaborate with cross-functional teams to integrate data-driven solutions into existing products and services. Stay at the forefront of emerging technologies and industry trends to continually enhance data science capabilities. Mentor and provide technical leadership to junior members of the data science team. Collaborate with other departments to ensure alignment of data science initiatives with overall business objectives. REQUIREMENTS: Ph.D. or Master's degree in a relevant field Experience working with behavioural data/modelling. Experience in or a domain knowledge of the Health/Pharma industry Expertise in developing and implementing machine learning models Proficiency in programming languages such as Python or R Excellent communication skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholders. SALARY/BENEFITS: Depending on experience, this role can offer a salary of £70,000 - £90,000 Unlimited holiday Up to 10% bonus NEXT STEPS: If this role looks of interest, please reach out to Joseph Gregory.
Apr 18, 2024
Full time
SENIOR BEHAVIOURAL DATA SCIENTIST REMOTE £70,000 - £90,000 COMPANY: We are working with a healthcare scale up who leverage clinical trial and survey data, they aim to drive innovation, enhance patient outcomes, and optimize healthcare solutions. We are currently seeking an experienced Senior Data Scientist to join their team and work with behavioural data, to better understand customers. ROLE: Lead the development and implementation of advanced data science models and algorithms, leveraging clinical trial and survey data. Design and execute complex data analyses to extract meaningful patterns, trends, and insights. Collaborate with cross-functional teams to integrate data-driven solutions into existing products and services. Stay at the forefront of emerging technologies and industry trends to continually enhance data science capabilities. Mentor and provide technical leadership to junior members of the data science team. Collaborate with other departments to ensure alignment of data science initiatives with overall business objectives. REQUIREMENTS: Ph.D. or Master's degree in a relevant field Experience working with behavioural data/modelling. Experience in or a domain knowledge of the Health/Pharma industry Expertise in developing and implementing machine learning models Proficiency in programming languages such as Python or R Excellent communication skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholders. SALARY/BENEFITS: Depending on experience, this role can offer a salary of £70,000 - £90,000 Unlimited holiday Up to 10% bonus NEXT STEPS: If this role looks of interest, please reach out to Joseph Gregory.
Use infrastructure as code to create secure, reliable cloud-based products A market-leading portfolio management services provider seeks a skilled Cloud Engineer to join their friendly team of expert developers, product owners and testers. They take great pride in creating secure and reliable cloud-based products, providing 24/7 access to their clients. The Cloud Engineer will be responsible for creating AWS infrastructure, using a variety of technologies to define infrastructure code and automate workflows, ensuring fast and effective deployment to multiple environments. This will require a deep understanding of a range of cloud services, virtual machines and their metrics. The languages and tools used include: Terraform, Bash, C#, Python, Powershell, Docker and containers. You will be an excellent communicator; able to explain complex systems to experts and those less familiar with the technical details. You enjoy learning new skills and adopting technologies, as well as the challenge of troubleshooting, finding ingenious, reliable and secure solutions to issues, whilst helping prevent problems occurring in the future. You will need: • Evidence of commercial experience as a cloud engineer or similar role, including providing support within an operational environment. • Good skills with AWS or other cloud provider, including some of the following: API management, serverless compute and databases, Docker and containerization, CI/CD. • Good experience with Git and version control, plus experience of database administration. • Excellent communications skills and comfortable providing on-call support. • A good degree in a related technical subject from a well-respected university or equivalent commercial experience. • Full existing rights to work in the UK, without time limit. The working environment is supportive and stable, offering hybrid working from home 2 to 3 days per week, as well as monthly office get-togethers. A good remuneration package is available, commensurate with skills and experience. Key Words: Cloud Services, AWS, Terraform, API Management, CI/CD, Docker, Containers, Hybrid-working, Cambridge, Virtual Machines. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: TJ27170 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Apr 17, 2024
Full time
Use infrastructure as code to create secure, reliable cloud-based products A market-leading portfolio management services provider seeks a skilled Cloud Engineer to join their friendly team of expert developers, product owners and testers. They take great pride in creating secure and reliable cloud-based products, providing 24/7 access to their clients. The Cloud Engineer will be responsible for creating AWS infrastructure, using a variety of technologies to define infrastructure code and automate workflows, ensuring fast and effective deployment to multiple environments. This will require a deep understanding of a range of cloud services, virtual machines and their metrics. The languages and tools used include: Terraform, Bash, C#, Python, Powershell, Docker and containers. You will be an excellent communicator; able to explain complex systems to experts and those less familiar with the technical details. You enjoy learning new skills and adopting technologies, as well as the challenge of troubleshooting, finding ingenious, reliable and secure solutions to issues, whilst helping prevent problems occurring in the future. You will need: • Evidence of commercial experience as a cloud engineer or similar role, including providing support within an operational environment. • Good skills with AWS or other cloud provider, including some of the following: API management, serverless compute and databases, Docker and containerization, CI/CD. • Good experience with Git and version control, plus experience of database administration. • Excellent communications skills and comfortable providing on-call support. • A good degree in a related technical subject from a well-respected university or equivalent commercial experience. • Full existing rights to work in the UK, without time limit. The working environment is supportive and stable, offering hybrid working from home 2 to 3 days per week, as well as monthly office get-togethers. A good remuneration package is available, commensurate with skills and experience. Key Words: Cloud Services, AWS, Terraform, API Management, CI/CD, Docker, Containers, Hybrid-working, Cambridge, Virtual Machines. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: TJ27170 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Multi-Disciplined Engineer Clearance Requirement: High level of clearance - DV (Developed Vetting) Location: Huntingdon, Cambridgeshire UNLEASH YOUR POTENTIAL Working across a range of diverse, complex, and secure systems, a Multi-Disciplined Engineer should be technically capable and versatile. You will be working as part of the Normal Change delivery team supporting the development and sustainment of a government portfolio of systems and services managed through the Programme. Working alone or as part of a team (depending on the size and complexity of the engineering change task) to deliver business value in a demanding, involved environment. YOUR ROLE AND RESPONSBILITIES Based primarily at our customer's site near Huntingdon Cambridgeshire, you will be supporting or leading, on infrastructure and application changes in an Agile environment. The preferred candidate will have a range of knowledge and experience in the administration of a service based on Microsoft and CISCO products and be an expert on Microsoft Windows Server (including services such as AD, DNS, DHCP & SCCM) and virtualisation (Hyper-V, VMware), while also having an understanding and interest in Linux (Ubuntu / CentOS) and a desire to learn (if required) additional complementary technologies such as Microsoft Stack Technologies (SharePoint, SQL Server, Skype for Business / Teams), networking technologies (CISCO) and storage. Are you ready for your next challenge? Occasional travel to other Leidos and customer sites may be required. Keeping an eye on the technology landscape is essential, too - identification of new and relevant technologies to solve problems and make improvements is part of the job. We believe innovation is the lifeblood of customer value - we are all catalysts for innovation and should be committed to continuous improvement in everything we do. SKILLS AND KNOWLEDGE: Excellent knowledge of Virtualized Environments such as VMware and Hyper-V. Excellent knowledge of Windows Server Environments, from Server 2003 - 2019, including OS build, AD, DNS, DHCP and GPO from design to implementation and support. Strong working knowledge of Linux system administration skills (Ubuntu / CentOS) Good general knowledge of TCP/IP and networking technologies including switches and firewalls. Good general knowledge of Microsoft stack technologies such as SharePoint, Skype for Business / Teams, MS SQL, MS System Centre, Office365, MS Exchange & CLI tooling such as PowerShell. Good knowledge of application deployment via SCCM. Experience on Secure LAN environments including security boundaries and rulesets. Experience of working in security-cleared environments/working in Defence. Experience in configuring and troubleshooting Sidewinders and ASAv firewalls. Platform focus: Cisco Nexus 9300 series and Catalyst switches. Excellent communication skills (written and oral), ideally able to communicate technical issues to less technical staff and managers. Experience in providing support to others, including Service Desk Analysts and Second Line Engineers Experience of producing and updating technical documentation to a high standard Experience of ITIL Service Management Experience of software maintenance and support to include servers, workstations, laptops, network, and peripheral devices. Experience in the installation and configuration of Microsoft Server 2008, 2016 and 2019. Experience in the installation and configuration of Microsoft Windows 10 and 11 workstations. Good knowledge of the configuration, maintenance, and installation of Commercial off the Shelf (COTS) software applications. Experience in the installation, configuration, and maintenance of Enterprise Anti-Virus products. Experience in the installation, configuration, and maintenance of Windows Server Update Services (WSUS). Knowledge of backup technologies. Experience of desktop rollout and configuration (including desktop virtualisation). Experience of cloud-based deployment. Experience configuring and maintaining monitoring tools and systems. ADDITIONAL ATTRIBUTES: Analytical and problem-solving skills and developing solutions. Flexibility and adaptability. Proactive and innovative working attitude Who We Are: Leidos UK & EUROPE - we work to make the world safer, healthier, and more efficient through technology, engineering and science. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future.
Apr 17, 2024
Full time
Multi-Disciplined Engineer Clearance Requirement: High level of clearance - DV (Developed Vetting) Location: Huntingdon, Cambridgeshire UNLEASH YOUR POTENTIAL Working across a range of diverse, complex, and secure systems, a Multi-Disciplined Engineer should be technically capable and versatile. You will be working as part of the Normal Change delivery team supporting the development and sustainment of a government portfolio of systems and services managed through the Programme. Working alone or as part of a team (depending on the size and complexity of the engineering change task) to deliver business value in a demanding, involved environment. YOUR ROLE AND RESPONSBILITIES Based primarily at our customer's site near Huntingdon Cambridgeshire, you will be supporting or leading, on infrastructure and application changes in an Agile environment. The preferred candidate will have a range of knowledge and experience in the administration of a service based on Microsoft and CISCO products and be an expert on Microsoft Windows Server (including services such as AD, DNS, DHCP & SCCM) and virtualisation (Hyper-V, VMware), while also having an understanding and interest in Linux (Ubuntu / CentOS) and a desire to learn (if required) additional complementary technologies such as Microsoft Stack Technologies (SharePoint, SQL Server, Skype for Business / Teams), networking technologies (CISCO) and storage. Are you ready for your next challenge? Occasional travel to other Leidos and customer sites may be required. Keeping an eye on the technology landscape is essential, too - identification of new and relevant technologies to solve problems and make improvements is part of the job. We believe innovation is the lifeblood of customer value - we are all catalysts for innovation and should be committed to continuous improvement in everything we do. SKILLS AND KNOWLEDGE: Excellent knowledge of Virtualized Environments such as VMware and Hyper-V. Excellent knowledge of Windows Server Environments, from Server 2003 - 2019, including OS build, AD, DNS, DHCP and GPO from design to implementation and support. Strong working knowledge of Linux system administration skills (Ubuntu / CentOS) Good general knowledge of TCP/IP and networking technologies including switches and firewalls. Good general knowledge of Microsoft stack technologies such as SharePoint, Skype for Business / Teams, MS SQL, MS System Centre, Office365, MS Exchange & CLI tooling such as PowerShell. Good knowledge of application deployment via SCCM. Experience on Secure LAN environments including security boundaries and rulesets. Experience of working in security-cleared environments/working in Defence. Experience in configuring and troubleshooting Sidewinders and ASAv firewalls. Platform focus: Cisco Nexus 9300 series and Catalyst switches. Excellent communication skills (written and oral), ideally able to communicate technical issues to less technical staff and managers. Experience in providing support to others, including Service Desk Analysts and Second Line Engineers Experience of producing and updating technical documentation to a high standard Experience of ITIL Service Management Experience of software maintenance and support to include servers, workstations, laptops, network, and peripheral devices. Experience in the installation and configuration of Microsoft Server 2008, 2016 and 2019. Experience in the installation and configuration of Microsoft Windows 10 and 11 workstations. Good knowledge of the configuration, maintenance, and installation of Commercial off the Shelf (COTS) software applications. Experience in the installation, configuration, and maintenance of Enterprise Anti-Virus products. Experience in the installation, configuration, and maintenance of Windows Server Update Services (WSUS). Knowledge of backup technologies. Experience of desktop rollout and configuration (including desktop virtualisation). Experience of cloud-based deployment. Experience configuring and maintaining monitoring tools and systems. ADDITIONAL ATTRIBUTES: Analytical and problem-solving skills and developing solutions. Flexibility and adaptability. Proactive and innovative working attitude Who We Are: Leidos UK & EUROPE - we work to make the world safer, healthier, and more efficient through technology, engineering and science. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future.
Job title: Software Engineer Intern (12 months) - Starting Summer 2024 Location: Cambridge, UK SLB Cambridge Research (SCR) is part of SLB's global network of research and engineering centres. SCR is a dynamic, multidisciplinary environment with state-of-the-art research and computing facilities. We work on applied research projects in the physical sciences to meet the current and future challenges of the industry About SLB: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. That is our purpose. As innovators, that's been our mission for 100 years. We are facing the world's greatest balancing act- how to simultaneously reduce emissions and meet the world's growing energy demands. We're working on that answer. Every day, a step closer. Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It's what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet. Description and Scope: Prototyping the digital platform for the future of the company, we have an opportunity to join Schlumberger Cambridge Research on an internship. You will be part of a multi-disciplinary team in the Digital Systems Research department which comprises the Data & Domain (D&D) program and the Automation & Planning (A&P) programme. In A&P we are developing the future machine reasoning infrastructure. This system assists decision-making, offering explanations (XAI) for its recommendations via a proprietary semantic web ontology. Additionally, we create state-of-the-art solvers for AI Planning and Scheduling; the resulting plans are interwoven by the ontology with the vision of a truly integrated digital infrastructure. These are extensive multi-year research efforts, you will be guided and supported throughout, and success is not measured by completion of a pre-specified list of tasks. The specialism of the group is in the development of the algorithms and the role of the internship is to provide software development support and expertise around the front-end and also the backend integration between algorithms and data stores, so this role suits an open-minded self-starter. Your work will involve programming in Python and potentially also in SQL, Java and C++ and the ontology structural approaches like SHACL. Other programming languages and frameworks may also be required, and training resources and time will be provided. Deliverables Interns will be mentored and responsible for developing aspects of the SLB digital solutions from the cloud and web-based applications to data analytics. Interns will experience the development of prototype solutions and the interaction scientists, domain experts and end-users to assist in the testing of the prototypes. Develop software that integrates with a variety of real-world business systems Support scientists on software development for user-ready prototypes, data analysis, user interfaces Present demos to visitors and internal stakeholders, acquire and apply software development skills in a supportive environment of continuous learning Required Skills & Qualifications Penultimate or Final year BSc / Masters student in Computer Science or a related discipline Passionate interest in programming Willingness to learn. Good communication skills Exposure to any of the following would be a plus, however demonstrating an ability to learn is more important than specific existing skills: Scripting (Python, Shell), C++, C#, Java, JavaScript System design, including producing UML diagrams. Development of Web Applications Source code control such as Git Systems integration, databases, SQL Semantic web, SPARQL AI Planning, PDDL BlueFlex: We are open to flexible, hybrid working with a combination of on-site & home working days. SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.
Apr 15, 2024
Full time
Job title: Software Engineer Intern (12 months) - Starting Summer 2024 Location: Cambridge, UK SLB Cambridge Research (SCR) is part of SLB's global network of research and engineering centres. SCR is a dynamic, multidisciplinary environment with state-of-the-art research and computing facilities. We work on applied research projects in the physical sciences to meet the current and future challenges of the industry About SLB: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. That is our purpose. As innovators, that's been our mission for 100 years. We are facing the world's greatest balancing act- how to simultaneously reduce emissions and meet the world's growing energy demands. We're working on that answer. Every day, a step closer. Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It's what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet. Description and Scope: Prototyping the digital platform for the future of the company, we have an opportunity to join Schlumberger Cambridge Research on an internship. You will be part of a multi-disciplinary team in the Digital Systems Research department which comprises the Data & Domain (D&D) program and the Automation & Planning (A&P) programme. In A&P we are developing the future machine reasoning infrastructure. This system assists decision-making, offering explanations (XAI) for its recommendations via a proprietary semantic web ontology. Additionally, we create state-of-the-art solvers for AI Planning and Scheduling; the resulting plans are interwoven by the ontology with the vision of a truly integrated digital infrastructure. These are extensive multi-year research efforts, you will be guided and supported throughout, and success is not measured by completion of a pre-specified list of tasks. The specialism of the group is in the development of the algorithms and the role of the internship is to provide software development support and expertise around the front-end and also the backend integration between algorithms and data stores, so this role suits an open-minded self-starter. Your work will involve programming in Python and potentially also in SQL, Java and C++ and the ontology structural approaches like SHACL. Other programming languages and frameworks may also be required, and training resources and time will be provided. Deliverables Interns will be mentored and responsible for developing aspects of the SLB digital solutions from the cloud and web-based applications to data analytics. Interns will experience the development of prototype solutions and the interaction scientists, domain experts and end-users to assist in the testing of the prototypes. Develop software that integrates with a variety of real-world business systems Support scientists on software development for user-ready prototypes, data analysis, user interfaces Present demos to visitors and internal stakeholders, acquire and apply software development skills in a supportive environment of continuous learning Required Skills & Qualifications Penultimate or Final year BSc / Masters student in Computer Science or a related discipline Passionate interest in programming Willingness to learn. Good communication skills Exposure to any of the following would be a plus, however demonstrating an ability to learn is more important than specific existing skills: Scripting (Python, Shell), C++, C#, Java, JavaScript System design, including producing UML diagrams. Development of Web Applications Source code control such as Git Systems integration, databases, SQL Semantic web, SPARQL AI Planning, PDDL BlueFlex: We are open to flexible, hybrid working with a combination of on-site & home working days. SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.
Postdoctoral Fellow: Genomic Data Science Cambridge, UK Competitive Salary, Bonus & Benefits Do you have expertise in large-scale data analysis and a passion for research on improving healthcare? AstraZeneca's Centre for Genomics Research has an exciting opportunity for a Postdoctoral Researcher to contribute to its Genomic Initiative! About AstraZeneca: AstraZeneca is a global, science-led, patient-centred biopharmaceutical company focusing on discovering, developing, and commercialising prescription medicines for some of the world's most serious diseases. But we're more than a global leading pharmaceutical company. At AstraZeneca, we're dedicated to being a Great Place to Work and empowering employees to push the boundaries of science and fuel their entrepreneurial spirit. There's no better place to make a difference in medicine, patients, and society. About the Postdoc Programme: Bring your expertise, apply your knowledge, follow the science, and make a difference. Bring your expertise, apply your knowledge, follow the science, and make a difference. AstraZeneca's Postdoc Programme is for self-motivated individuals looking to deliver exciting, high-impact projects in a collaborative, engaging and innovative environment. You'll work with multidisciplinary scientific teams from a diverse set of backgrounds and a world-class academic mentor specifically aligned to your project. Our postdocs are respected as specialists, encouraged to speak up, and supported to share their research at conferences, publish papers, achieve their goals, and make a difference to our patients. This is a 3-year programme. 2-years will be a Fixed Term Contract, with a 1-year extension which will be merit-based. About the Opportunity: Fuelled by next-generation sequencing, human genetics research has provided unprecedented insights into revealing mechanisms of many diseases and brought great value to drug development. The Centre for Genomics Research (CGR) is an AstraZeneca initiative involving the generation and analysis of genetic data in participants from AstraZeneca clinical studies and large population cohorts, including the 500,000-participant UK Biobank study. These enable AstraZeneca to identify genetic determinants of disease risk, validate new targets for medicines, and improve patient stratification opportunities among the core areas of oncology, respiratory, immunology, cardiovascular, renal, and metabolic disease. Clonal haematopoiesis (CH), defined by the presence of clonal somatic variants in the blood of individuals without a haematological malignancy, is increasingly recognised as a major driver of both oncological and non-oncological diseases. However, the underlying mechanisms, downstream sequelae and opportunities for therapeutic intervention remain poorly understood. As a Postdoctoral Fellow, you will lead and perform computational genomic analyses on large-scale cohort studies to identify CH. Combining classical and Machine Learning (ML) statistical models, you will incorporate additional multi-omic data (e.g., phenomics, proteomics and metabolomics) to understand the role of CH in disease development. You will work closely with other members of the Centre for Genomics Research and collaborators, regularly present your research results internally and externally at conferences, and also drive the writing of manuscripts for publication. This is a unique opportunity to use innovative data science and machine learning methods. You'll benefit from AstraZeneca's privileged access to the dense phenotypic and linked multi-omic datasets in the UK Biobank and other large-scale genomic biobanks to characterise the role of CH in the aetiologies and trajectories of diverse diseases. You will be supervised by Dr Jonathan Mitchell, Senior Data Scientist and Dr Andrew Harper, Director Physician from AstraZeneca. You will also receive external academic guidance and mentorship from George Vassiliou, Professor of Haematological Medicine at the University of Cambridge. Qualification, Skills & Experience: Essential Requirements PhD in Statistical Genetics / Computational Biology / Bioinformatics / Biostatistics / Mathematics / Physics / Computer Science or a related field Expertise in programming appropriate to large-scale genomics analysis (e.g., Python, R, BASH) Proven experience in large-scale data analysis and applied statistics Track record of first-authored work published in peer-reviewed scientific journals Strong communication and team-working skills Desirable Requirements Expertise analysing human whole exome or genome sequencing data Understanding of advanced analytics, including machine learning Experience in high-performance and cloud computing Understanding of the potential application of genomics to drug discovery and precision medicine approaches Why Should You Apply? Lead a project working with world-leading experts in large-scale human genomics, both within AstraZeneca and at the University of Cambridge Enjoy privileged access to the clinical genomics database at AstraZeneca's Centre for Genomics Research, one of the largest globally, and multi-omics data for a subset of these individuals Conduct research with the potential to improve our clinical understanding of CH Publish findings in high-impact, peer-reviewed journals Ready for an exciting, rewarding challenge? Apply today! Advert Opens: Wednesday 7th September 2022 Advert Closes: Sunday 9th October 2022
Sep 24, 2022
Full time
Postdoctoral Fellow: Genomic Data Science Cambridge, UK Competitive Salary, Bonus & Benefits Do you have expertise in large-scale data analysis and a passion for research on improving healthcare? AstraZeneca's Centre for Genomics Research has an exciting opportunity for a Postdoctoral Researcher to contribute to its Genomic Initiative! About AstraZeneca: AstraZeneca is a global, science-led, patient-centred biopharmaceutical company focusing on discovering, developing, and commercialising prescription medicines for some of the world's most serious diseases. But we're more than a global leading pharmaceutical company. At AstraZeneca, we're dedicated to being a Great Place to Work and empowering employees to push the boundaries of science and fuel their entrepreneurial spirit. There's no better place to make a difference in medicine, patients, and society. About the Postdoc Programme: Bring your expertise, apply your knowledge, follow the science, and make a difference. Bring your expertise, apply your knowledge, follow the science, and make a difference. AstraZeneca's Postdoc Programme is for self-motivated individuals looking to deliver exciting, high-impact projects in a collaborative, engaging and innovative environment. You'll work with multidisciplinary scientific teams from a diverse set of backgrounds and a world-class academic mentor specifically aligned to your project. Our postdocs are respected as specialists, encouraged to speak up, and supported to share their research at conferences, publish papers, achieve their goals, and make a difference to our patients. This is a 3-year programme. 2-years will be a Fixed Term Contract, with a 1-year extension which will be merit-based. About the Opportunity: Fuelled by next-generation sequencing, human genetics research has provided unprecedented insights into revealing mechanisms of many diseases and brought great value to drug development. The Centre for Genomics Research (CGR) is an AstraZeneca initiative involving the generation and analysis of genetic data in participants from AstraZeneca clinical studies and large population cohorts, including the 500,000-participant UK Biobank study. These enable AstraZeneca to identify genetic determinants of disease risk, validate new targets for medicines, and improve patient stratification opportunities among the core areas of oncology, respiratory, immunology, cardiovascular, renal, and metabolic disease. Clonal haematopoiesis (CH), defined by the presence of clonal somatic variants in the blood of individuals without a haematological malignancy, is increasingly recognised as a major driver of both oncological and non-oncological diseases. However, the underlying mechanisms, downstream sequelae and opportunities for therapeutic intervention remain poorly understood. As a Postdoctoral Fellow, you will lead and perform computational genomic analyses on large-scale cohort studies to identify CH. Combining classical and Machine Learning (ML) statistical models, you will incorporate additional multi-omic data (e.g., phenomics, proteomics and metabolomics) to understand the role of CH in disease development. You will work closely with other members of the Centre for Genomics Research and collaborators, regularly present your research results internally and externally at conferences, and also drive the writing of manuscripts for publication. This is a unique opportunity to use innovative data science and machine learning methods. You'll benefit from AstraZeneca's privileged access to the dense phenotypic and linked multi-omic datasets in the UK Biobank and other large-scale genomic biobanks to characterise the role of CH in the aetiologies and trajectories of diverse diseases. You will be supervised by Dr Jonathan Mitchell, Senior Data Scientist and Dr Andrew Harper, Director Physician from AstraZeneca. You will also receive external academic guidance and mentorship from George Vassiliou, Professor of Haematological Medicine at the University of Cambridge. Qualification, Skills & Experience: Essential Requirements PhD in Statistical Genetics / Computational Biology / Bioinformatics / Biostatistics / Mathematics / Physics / Computer Science or a related field Expertise in programming appropriate to large-scale genomics analysis (e.g., Python, R, BASH) Proven experience in large-scale data analysis and applied statistics Track record of first-authored work published in peer-reviewed scientific journals Strong communication and team-working skills Desirable Requirements Expertise analysing human whole exome or genome sequencing data Understanding of advanced analytics, including machine learning Experience in high-performance and cloud computing Understanding of the potential application of genomics to drug discovery and precision medicine approaches Why Should You Apply? Lead a project working with world-leading experts in large-scale human genomics, both within AstraZeneca and at the University of Cambridge Enjoy privileged access to the clinical genomics database at AstraZeneca's Centre for Genomics Research, one of the largest globally, and multi-omics data for a subset of these individuals Conduct research with the potential to improve our clinical understanding of CH Publish findings in high-impact, peer-reviewed journals Ready for an exciting, rewarding challenge? Apply today! Advert Opens: Wednesday 7th September 2022 Advert Closes: Sunday 9th October 2022
Bring out the best in each other, and yourself, by working together as one In our dynamic environment, be supported by the brightest minds working together side by side. Agile and collaborative, we work cross-functionally, as well as externally, to thrive at pace. Who we are Naturally curious, we are forever connecting and collaborating. Uncovering new insights that equip us to challenge convention and push the boundaries. What we do We are reshaping our organisation to thrive in a complex and ever-changing world. Evolving to become a learning organisation - ready and equipped to embrace the challenges and seize the opportunities that lie ahead. Why we love it You will be valued. Not only for your unique contribution, skills and background, but because we recognise people are our greatest asset. Here we are dedicated to being a Great Place to Work. Global Insights, Analytics & Commercial Excellence Global Insights, Analytics & Commercial Excellence (GIACE) is a strategic function, critical for enabling success in the growth of the BBU business. Our ambition is to build an industry-leading organization, empowering our Commercial teams through the generation of compelling evidence and insights, while ensuring they have the tools and skills to deliver impactful launches that change the practice of medicine for the benefit of patients. Within GIACE, the Insights & Analytics function is organized across three teams and supports both the US and Global organizations: Respiratory Insights, CVRM Insights (Cardiovascular, Metabolic, Renal), and the Insights & Analytics Centre of Excellence (CoE). Insights & Analytics Centre of Excellence The aim of the Insights & Analytics Centre of Excellence (I&ACoE) is to establish industry-leading capabilities across the core areas of analytics, forecasting, reporting, business planning, and insight capabilities. It will utilise, reapply, and advance methodologies in capabilities and operations from Global and US more broadly across geographies. In the area of advanced analytics, the ambition is to accelerate the development and application of advanced analytic methodologies such as Machine Learning and Artificial Intelligence to solve business problems. The CoE also aims to scale and deploy these capabilities in a highly efficient manner so that continuous innovation can be pursued. The Insight Teams and the CoE partner to drive portfolio and brand strategy and performance. Together we strive to uncover deep customer insights in order to drive improved decision-making and business impact. We are looking for leaders who have the passion to drive business results and bring innovation to what we do for greater impact. The Role As a product director in the Global Advanced Analytics (GAA) team you will be responsible for supporting all markets outside the US, mainly Canada, UK, Germany, France, Spain, Italy, China and Japan. In this role you will be responsible for leading the efforts to develop, productionalize, deploy and maintain decision support capabilities that use advanced analytics with an omnichannel approach. The advanced analytics product director is expected to have i) deep technical understanding of advanced analytics methods, ii) broad experience in deploying analytics solutions (including data and infrastructure) and iii) ample experience in building organizational expertise to ease and enable the adoption of advanced analytics by decision makers. The role requires close cooperation with sales, marketing, IT and other cross-functional business partners. Excellent communication and network management skills are expected with a demonstrated track record of effective business partnership as demonstrated by material business impact and influencing. This position may be required to manage contractors and consultants to complete analytical projects, but will have no direct reports. Key responsibilities Develop a deep understanding of the markets in each country and their data and analytical needs. Provide guidance to internal collaborators on advanced analytics Co-lead GAA's capability/product strategy, synthesizing business needs and advanced analytics expertise into capability/product roadmaps. Lead the development and deployment of strategic capabilities/products built around advanced analytics that create tangible business value. Coordinate across CoE roles and other business functions (sales, marketing, IT, external vendors, etc.) required to efficiently and effectively deliver new analytics capabilities/products Coordinate across markets the development of analytics capabilities to improve commonalities and efficiencies Collaborate with the Data & Insights Specialist on business adoption, and embedding analytics into business processes Find opportunities to evolve analytics capabilities/products and to use them across countries and brands Instil a culture of continuous improvement to refine and enhance existing capabilities. Monitor the external environment to stay up to date on leading advanced analytic capabilities, both within and outside of pharma, which can be applied within the organization. Oversee multiple capability related projects across different countries and markets. Competencies Essential requirements Extensive hands-on experience in application of advanced analytics and statistical methods on large and disparate datasets preferably in the context of Omnichannel marketing, specifically: Statistical Analysis and Modelling: (e.g. Design of Experiments, Time Series Analysis, Regression Analysis, Bayesian methods, etc), Machine Learning and Artificial Intelligence Extensive experience in deploying (and maintaining) production-grade advanced analytics capabilities. This includes not only the delivery of solutions but also the building of the business ecosystem (processes, organizational structure, change management, etc.) necessary. Strong organizational skills and time management; ability to manage diverse range of simultaneous projects. Strong leadership and interpersonal skills with demonstrated ability to work collaboratively with a significant number of business leaders and cross-functional business partners. Strong communication and influencing skills. Desirable Requirements Pharma commercial domain understanding. Experience with omnichannel analytics Experience with Agile methodology within an IT/business environment. Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership Team. Educational requirements Quantitative Master's or PhD degree from an accredited college or university is required in one of the following or related fields: Engineering, Operations Research, Management Science, Economics, Statistics, Math, Physics, Computer Science or Data Science. Salary: Competitive So, what's next? Are you already imagining yourself joining us? Good, because we can't wait to hear from you! Additional information Our Company Values & Behaviors underpin everything we do so please take a moment to familiarize yourself with them. You may also want to check out our new R&D Video showing how we turn Science into Medicines. Covid-19 Resources More information about our sites: Cambridge, UK Gothenburg, Sweden Gaithersburg, US We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Sep 23, 2022
Full time
Bring out the best in each other, and yourself, by working together as one In our dynamic environment, be supported by the brightest minds working together side by side. Agile and collaborative, we work cross-functionally, as well as externally, to thrive at pace. Who we are Naturally curious, we are forever connecting and collaborating. Uncovering new insights that equip us to challenge convention and push the boundaries. What we do We are reshaping our organisation to thrive in a complex and ever-changing world. Evolving to become a learning organisation - ready and equipped to embrace the challenges and seize the opportunities that lie ahead. Why we love it You will be valued. Not only for your unique contribution, skills and background, but because we recognise people are our greatest asset. Here we are dedicated to being a Great Place to Work. Global Insights, Analytics & Commercial Excellence Global Insights, Analytics & Commercial Excellence (GIACE) is a strategic function, critical for enabling success in the growth of the BBU business. Our ambition is to build an industry-leading organization, empowering our Commercial teams through the generation of compelling evidence and insights, while ensuring they have the tools and skills to deliver impactful launches that change the practice of medicine for the benefit of patients. Within GIACE, the Insights & Analytics function is organized across three teams and supports both the US and Global organizations: Respiratory Insights, CVRM Insights (Cardiovascular, Metabolic, Renal), and the Insights & Analytics Centre of Excellence (CoE). Insights & Analytics Centre of Excellence The aim of the Insights & Analytics Centre of Excellence (I&ACoE) is to establish industry-leading capabilities across the core areas of analytics, forecasting, reporting, business planning, and insight capabilities. It will utilise, reapply, and advance methodologies in capabilities and operations from Global and US more broadly across geographies. In the area of advanced analytics, the ambition is to accelerate the development and application of advanced analytic methodologies such as Machine Learning and Artificial Intelligence to solve business problems. The CoE also aims to scale and deploy these capabilities in a highly efficient manner so that continuous innovation can be pursued. The Insight Teams and the CoE partner to drive portfolio and brand strategy and performance. Together we strive to uncover deep customer insights in order to drive improved decision-making and business impact. We are looking for leaders who have the passion to drive business results and bring innovation to what we do for greater impact. The Role As a product director in the Global Advanced Analytics (GAA) team you will be responsible for supporting all markets outside the US, mainly Canada, UK, Germany, France, Spain, Italy, China and Japan. In this role you will be responsible for leading the efforts to develop, productionalize, deploy and maintain decision support capabilities that use advanced analytics with an omnichannel approach. The advanced analytics product director is expected to have i) deep technical understanding of advanced analytics methods, ii) broad experience in deploying analytics solutions (including data and infrastructure) and iii) ample experience in building organizational expertise to ease and enable the adoption of advanced analytics by decision makers. The role requires close cooperation with sales, marketing, IT and other cross-functional business partners. Excellent communication and network management skills are expected with a demonstrated track record of effective business partnership as demonstrated by material business impact and influencing. This position may be required to manage contractors and consultants to complete analytical projects, but will have no direct reports. Key responsibilities Develop a deep understanding of the markets in each country and their data and analytical needs. Provide guidance to internal collaborators on advanced analytics Co-lead GAA's capability/product strategy, synthesizing business needs and advanced analytics expertise into capability/product roadmaps. Lead the development and deployment of strategic capabilities/products built around advanced analytics that create tangible business value. Coordinate across CoE roles and other business functions (sales, marketing, IT, external vendors, etc.) required to efficiently and effectively deliver new analytics capabilities/products Coordinate across markets the development of analytics capabilities to improve commonalities and efficiencies Collaborate with the Data & Insights Specialist on business adoption, and embedding analytics into business processes Find opportunities to evolve analytics capabilities/products and to use them across countries and brands Instil a culture of continuous improvement to refine and enhance existing capabilities. Monitor the external environment to stay up to date on leading advanced analytic capabilities, both within and outside of pharma, which can be applied within the organization. Oversee multiple capability related projects across different countries and markets. Competencies Essential requirements Extensive hands-on experience in application of advanced analytics and statistical methods on large and disparate datasets preferably in the context of Omnichannel marketing, specifically: Statistical Analysis and Modelling: (e.g. Design of Experiments, Time Series Analysis, Regression Analysis, Bayesian methods, etc), Machine Learning and Artificial Intelligence Extensive experience in deploying (and maintaining) production-grade advanced analytics capabilities. This includes not only the delivery of solutions but also the building of the business ecosystem (processes, organizational structure, change management, etc.) necessary. Strong organizational skills and time management; ability to manage diverse range of simultaneous projects. Strong leadership and interpersonal skills with demonstrated ability to work collaboratively with a significant number of business leaders and cross-functional business partners. Strong communication and influencing skills. Desirable Requirements Pharma commercial domain understanding. Experience with omnichannel analytics Experience with Agile methodology within an IT/business environment. Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership Team. Educational requirements Quantitative Master's or PhD degree from an accredited college or university is required in one of the following or related fields: Engineering, Operations Research, Management Science, Economics, Statistics, Math, Physics, Computer Science or Data Science. Salary: Competitive So, what's next? Are you already imagining yourself joining us? Good, because we can't wait to hear from you! Additional information Our Company Values & Behaviors underpin everything we do so please take a moment to familiarize yourself with them. You may also want to check out our new R&D Video showing how we turn Science into Medicines. Covid-19 Resources More information about our sites: Cambridge, UK Gothenburg, Sweden Gaithersburg, US We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We are Siemens Siemens DISWis a world-leading provider of product lifecycle management and manufacturingoperations management software. We help thousands of companies realiseinnovation by optimising their processes, from planning and development throughmanufacturing, production and support. Siemens DISW is a business unit of theSiemens Digital Industries Division. Driven by a deep understanding of what ittakes to deliver successful products. Help ourcustomers transform their business with our world-leading technology! TessentEmbedded Analytics is a pioneering developer of analytics and monitoringtechnology at the heart of the systems-on-chip (SoCs) that power today'selectronic products. Our embedded analytics technology allows product designersto add advanced cybersecurity, functional safety and performance tuningfeatures; and it helps resolve critical issues such as increasing systemcomplexity and ever- decreasing time-to-market. Requirements: Career background and/or education in technology (electronics, telecoms, manufacturing) with enough time in a practical data science role, but not forgetting the technology world: what we need and why Comfortable with deep learning and statistical learning methods and algorithms and familiarity with feature engineering Experience with using Python and relevant libraries (TensorFlow, Pandas, NumPy, scikit-learn, diagramming packages to name a few) Experience with C/C++ 11/14 , for implementing machine learning algorithms "on the edge" Understanding of data handling (databases, data storage, serialisation languages like XML, YAML) Experience with creating data visualisations Ability to understand complex products, solutions, and problems A real demonstrable desire to get things done and to advance both ours and our clients' businesses forward An understanding and interest in the world of silicon would be an advantage Ability to work independently including evaluating different solutions to a problem High level of proficiency and technical expertise; a curious and analytical approach Industrial experience: mid-level Responsibilities: Investigate and develop machine learning models working on data provided by Embedded Analytics hardware and other low-level sources close to the SoC; models will be applied in the areas of performance monitoring, cybersecurity, functional safety, anomaly detection (to name a few) Design models for deployment on the edge (embedded) or in the cloud or a combination of these Conceptualize, design, develop, modify, and implement machine learning applications and frameworks (both internal and external) Document the work being done (concepts, requirements, design) Work with software designs which may involve complicated workflows or multiple product areas Make sure the created source code conforms to coding standards (both internal and external) Ensure the functional quality of these applications on all required platforms Work with general supervision on complex projects with latitude for independent judgment At Siemens weare always challenging ourselves to build a better future. We need the mostinnovative and diverse Digital Minds to develop tomorrow's reality. Find outmore about the Digital world of Siemens here: Join our Digital World We are anequal opportunity employer and value diversity at our company. We do notdiscriminate on the basis of race, religion, colour, national origin, sex,gender, gender expression, sexual orientation, age, marital status, veteranstatus, or disability status. We offer acomprehensive reward package which includes a competitive basic salary, bonusscheme, generous holiday allowance, pension, private healthcare and activelysupport working from home. We willensure that individuals with disabilities are provided reasonable accommodationto participate in the job application or interview process, to perform crucialjob functions, and to receive other benefits and privileges of employment.Please contact us to request accommodation. At Siemens,we are always challenging ourselves to build a better future. We have some ofthe most inquisitive minds working across the world, re-imagining the futureand doing outstanding things. Join our Talent Community today and let's stayconnected in areas that interest you: Siemens Software. Where today meets tomorrow Organization: Digital Industries Company: Siemens Electronic Design Automation Ltd Experience Level: Experienced Professional Full / Part time: Full-time If you are a woman and cannot find jobs within engineering at Siemens that match your location or skill set why not join our talent community . While you're at it, why not set up job alerts to be notified of these fantastic opportunities when they become available!
Sep 23, 2022
Full time
We are Siemens Siemens DISWis a world-leading provider of product lifecycle management and manufacturingoperations management software. We help thousands of companies realiseinnovation by optimising their processes, from planning and development throughmanufacturing, production and support. Siemens DISW is a business unit of theSiemens Digital Industries Division. Driven by a deep understanding of what ittakes to deliver successful products. Help ourcustomers transform their business with our world-leading technology! TessentEmbedded Analytics is a pioneering developer of analytics and monitoringtechnology at the heart of the systems-on-chip (SoCs) that power today'selectronic products. Our embedded analytics technology allows product designersto add advanced cybersecurity, functional safety and performance tuningfeatures; and it helps resolve critical issues such as increasing systemcomplexity and ever- decreasing time-to-market. Requirements: Career background and/or education in technology (electronics, telecoms, manufacturing) with enough time in a practical data science role, but not forgetting the technology world: what we need and why Comfortable with deep learning and statistical learning methods and algorithms and familiarity with feature engineering Experience with using Python and relevant libraries (TensorFlow, Pandas, NumPy, scikit-learn, diagramming packages to name a few) Experience with C/C++ 11/14 , for implementing machine learning algorithms "on the edge" Understanding of data handling (databases, data storage, serialisation languages like XML, YAML) Experience with creating data visualisations Ability to understand complex products, solutions, and problems A real demonstrable desire to get things done and to advance both ours and our clients' businesses forward An understanding and interest in the world of silicon would be an advantage Ability to work independently including evaluating different solutions to a problem High level of proficiency and technical expertise; a curious and analytical approach Industrial experience: mid-level Responsibilities: Investigate and develop machine learning models working on data provided by Embedded Analytics hardware and other low-level sources close to the SoC; models will be applied in the areas of performance monitoring, cybersecurity, functional safety, anomaly detection (to name a few) Design models for deployment on the edge (embedded) or in the cloud or a combination of these Conceptualize, design, develop, modify, and implement machine learning applications and frameworks (both internal and external) Document the work being done (concepts, requirements, design) Work with software designs which may involve complicated workflows or multiple product areas Make sure the created source code conforms to coding standards (both internal and external) Ensure the functional quality of these applications on all required platforms Work with general supervision on complex projects with latitude for independent judgment At Siemens weare always challenging ourselves to build a better future. We need the mostinnovative and diverse Digital Minds to develop tomorrow's reality. Find outmore about the Digital world of Siemens here: Join our Digital World We are anequal opportunity employer and value diversity at our company. We do notdiscriminate on the basis of race, religion, colour, national origin, sex,gender, gender expression, sexual orientation, age, marital status, veteranstatus, or disability status. We offer acomprehensive reward package which includes a competitive basic salary, bonusscheme, generous holiday allowance, pension, private healthcare and activelysupport working from home. We willensure that individuals with disabilities are provided reasonable accommodationto participate in the job application or interview process, to perform crucialjob functions, and to receive other benefits and privileges of employment.Please contact us to request accommodation. At Siemens,we are always challenging ourselves to build a better future. We have some ofthe most inquisitive minds working across the world, re-imagining the futureand doing outstanding things. Join our Talent Community today and let's stayconnected in areas that interest you: Siemens Software. Where today meets tomorrow Organization: Digital Industries Company: Siemens Electronic Design Automation Ltd Experience Level: Experienced Professional Full / Part time: Full-time If you are a woman and cannot find jobs within engineering at Siemens that match your location or skill set why not join our talent community . While you're at it, why not set up job alerts to be notified of these fantastic opportunities when they become available!
Global Data Protection Officer Location: Cambridge, UK / Macclesfield, UK / Gothenburg, SWE Competitive salary and benefits package The Global Data Protection Officer functions at an advanced level of complexity spanning data processing activities across the enterprise. The role reports to the Head of Operations and Innovation for Global Compliance and has a dotted-line into the Deputy Chief Compliance Officer to ensure direct access to both Senior Management and the Audit Committee of the Board of Directors with respect to data privacy matters. The GDPO serves as the Data Protection Officer for AZ in jurisdictions in which a DPO is a central role to privacy governance, including, but not limited to the EU, UK, Brazil, etc. The GDPO will be the central point of contact for data subjects and supervisory authorities. In addition to EU/UK data protection officer responsibilities, this role is also responsible for global horizon scanning and providing advice and oversight based upon strong subject matter expertise and guidance across the elements of an effective compliance program with respect to data privacy. The GDPO works closely with the rest of the Data Privacy Office and broader compliance organisation to enhance privacy risk management and compliance while embedding and fostering a privacy mindset across AZ. Typical Accountabilities Company representative for data subjects and supervisory authorities: Point of contact for supervisory authorities related to AZ data processing activities and data subjects Maintain required licenses, registrations and other local regulatory requirements to enable compliant processing and transfer of personal data within the AZ Group and among AZ partners/vendors (e.g., Binding Corporate Rules) Oversight of responses to subject access requests Consult with members of the Global Privacy Office when required on data protection impact assessments and serve as contact to authorities as required on data protection impact assessments and other privacy impact assessments Reporting of significant and/or serious breaches (whether requiring external notice or otherwise), including advice on remediation measure, related oversight and trend analysis All Deputy Data Privacy Officers will have a dotted-line to the GDPO to ensure he/she is able to effectively communicate with data subjects and cooperate with supervisory authorities as needed Partner with the Global Assurance team within Global Compliance, Internal Audit and independent auditing resources (where necessary) to monitor compliance with applicable data protection and privacy laws and broader data privacy requirements and provide assurance on effectiveness of our global compliance program with respect to data privacy risk Advisor (in consultation with Global Privacy Officer Leadership, legal, outside counsel and local resources as necessary) for members of the Privacy Office and other Global Compliance personnel in their support of the business and evolution of the global privacy program with respect to: Company policy and implementation Data protection impact assessments Ongoing monitoring and enhancing risk assurance capabilities Evolving expectations of supervisory authorities Remediation and continuous improvement activities Unique, novel or high risk business activities or projects as needed As the leader of AZ Privacy Risk and Assurance function, manage horizon scanning for key jurisdictions globally related to regulatory developments, proposed legislations, expectations of supervisory authorities and best practices (in consultation with legal, external counsel and local resources as needed) Collaborating with the members of the Privacy Office, Data Privacy Forums/DDPOs and broader Global Compliance committee, as well as key stakeholders from IT, HR, and the business, to fulfil his/her responsibilities and to foster a global privacy mindset across AZ. Education, Qualifications, Skills and Experience Essential: Legal degree or qualifications with extensive experience in privacy law and/or Data Privacy Programs. In-depth knowledge of GDPR, EU/EEA local data protection legislation, UK Privacy Act and UK GDPR, familiarity with US, China and other local data privacy regulations Significant experience and knowledge of privacy program elements and best practices/tools Substantial experience working in a multi-national and multi-regional organization in a highly regulated sector Familiarity with data processing operations in the Global Bio- pharmaceutical sector Significant experience in pharmaceuticals or a related industry; corporate governance, health care regulations, laws and standards Excellent analytical, written and oral communications skills Strong collaborative, partnering, and interpersonal skills, ability to influence across different levels and sectors of the organisation Strong experience speaking to and working with senior leaders, including Board members and executive team members Demonstrated ability to work independently High ethical standards, trustworthy, operating with absolute discretion Demonstrated ability to remain independent and objective while collaborating effectively with stakeholders Desirable In-depth knowledge of US federal and state privacy regulations and China privacy/cyber-security regulations IAPP certifications (e.g., CIPP/US, CIPT, CIPM) CIPP certification High degree of digital literacy, familiarity with use of AI, machine learning and automation in across different business applications (e.g., marketing, business services and processes, research and drug development activities) Familiarity with computer security frameworks and technologies Experience interacting with regulatory authorities, auditors, inspectors, and other third external assurance stakeholders Why AstraZeneca? At AstraZeneca we're dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There's no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We're on an exciting journey to pioneer the future of healthcare. So, what's next? Are you already imagining yourself joining our team? Good, because we can't wait to hear from you! Where can I find out more? Our Social Media, Follow AstraZeneca on LinkedIn Follow AstraZeneca on Facebook Follow AstraZeneca on Instagram r Job open date: 09/09/2022 Job closing date: 30/09/2022
Sep 23, 2022
Full time
Global Data Protection Officer Location: Cambridge, UK / Macclesfield, UK / Gothenburg, SWE Competitive salary and benefits package The Global Data Protection Officer functions at an advanced level of complexity spanning data processing activities across the enterprise. The role reports to the Head of Operations and Innovation for Global Compliance and has a dotted-line into the Deputy Chief Compliance Officer to ensure direct access to both Senior Management and the Audit Committee of the Board of Directors with respect to data privacy matters. The GDPO serves as the Data Protection Officer for AZ in jurisdictions in which a DPO is a central role to privacy governance, including, but not limited to the EU, UK, Brazil, etc. The GDPO will be the central point of contact for data subjects and supervisory authorities. In addition to EU/UK data protection officer responsibilities, this role is also responsible for global horizon scanning and providing advice and oversight based upon strong subject matter expertise and guidance across the elements of an effective compliance program with respect to data privacy. The GDPO works closely with the rest of the Data Privacy Office and broader compliance organisation to enhance privacy risk management and compliance while embedding and fostering a privacy mindset across AZ. Typical Accountabilities Company representative for data subjects and supervisory authorities: Point of contact for supervisory authorities related to AZ data processing activities and data subjects Maintain required licenses, registrations and other local regulatory requirements to enable compliant processing and transfer of personal data within the AZ Group and among AZ partners/vendors (e.g., Binding Corporate Rules) Oversight of responses to subject access requests Consult with members of the Global Privacy Office when required on data protection impact assessments and serve as contact to authorities as required on data protection impact assessments and other privacy impact assessments Reporting of significant and/or serious breaches (whether requiring external notice or otherwise), including advice on remediation measure, related oversight and trend analysis All Deputy Data Privacy Officers will have a dotted-line to the GDPO to ensure he/she is able to effectively communicate with data subjects and cooperate with supervisory authorities as needed Partner with the Global Assurance team within Global Compliance, Internal Audit and independent auditing resources (where necessary) to monitor compliance with applicable data protection and privacy laws and broader data privacy requirements and provide assurance on effectiveness of our global compliance program with respect to data privacy risk Advisor (in consultation with Global Privacy Officer Leadership, legal, outside counsel and local resources as necessary) for members of the Privacy Office and other Global Compliance personnel in their support of the business and evolution of the global privacy program with respect to: Company policy and implementation Data protection impact assessments Ongoing monitoring and enhancing risk assurance capabilities Evolving expectations of supervisory authorities Remediation and continuous improvement activities Unique, novel or high risk business activities or projects as needed As the leader of AZ Privacy Risk and Assurance function, manage horizon scanning for key jurisdictions globally related to regulatory developments, proposed legislations, expectations of supervisory authorities and best practices (in consultation with legal, external counsel and local resources as needed) Collaborating with the members of the Privacy Office, Data Privacy Forums/DDPOs and broader Global Compliance committee, as well as key stakeholders from IT, HR, and the business, to fulfil his/her responsibilities and to foster a global privacy mindset across AZ. Education, Qualifications, Skills and Experience Essential: Legal degree or qualifications with extensive experience in privacy law and/or Data Privacy Programs. In-depth knowledge of GDPR, EU/EEA local data protection legislation, UK Privacy Act and UK GDPR, familiarity with US, China and other local data privacy regulations Significant experience and knowledge of privacy program elements and best practices/tools Substantial experience working in a multi-national and multi-regional organization in a highly regulated sector Familiarity with data processing operations in the Global Bio- pharmaceutical sector Significant experience in pharmaceuticals or a related industry; corporate governance, health care regulations, laws and standards Excellent analytical, written and oral communications skills Strong collaborative, partnering, and interpersonal skills, ability to influence across different levels and sectors of the organisation Strong experience speaking to and working with senior leaders, including Board members and executive team members Demonstrated ability to work independently High ethical standards, trustworthy, operating with absolute discretion Demonstrated ability to remain independent and objective while collaborating effectively with stakeholders Desirable In-depth knowledge of US federal and state privacy regulations and China privacy/cyber-security regulations IAPP certifications (e.g., CIPP/US, CIPT, CIPM) CIPP certification High degree of digital literacy, familiarity with use of AI, machine learning and automation in across different business applications (e.g., marketing, business services and processes, research and drug development activities) Familiarity with computer security frameworks and technologies Experience interacting with regulatory authorities, auditors, inspectors, and other third external assurance stakeholders Why AstraZeneca? At AstraZeneca we're dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There's no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We're on an exciting journey to pioneer the future of healthcare. So, what's next? Are you already imagining yourself joining our team? Good, because we can't wait to hear from you! Where can I find out more? Our Social Media, Follow AstraZeneca on LinkedIn Follow AstraZeneca on Facebook Follow AstraZeneca on Instagram r Job open date: 09/09/2022 Job closing date: 30/09/2022
We are looking for an enthusiastic Software Engineer ideally with strong knowledge of 3D/2D graphics to join our graphics software team in Cambridge. Ensure you read the information regarding this opportunity thoroughly before making an application. The role involves cooperating with highly motivated engineers from different disciplines and customers throughout the world to design, develop and deploy Vulkan and OpenGL ES drivers for the current and the next generation of Arm graphics cores. The Team In the GPU Team you will be working alongside the best engineers in the world, making market leading products for the most successful companies. With applications in mobile, machine learning, Internet of Things, automotive, security, and embedded devices, your ideas will make a difference and you will have the opportunity to lead, challenge the norm and ultimately change the world of media processing. The Arm Mali series of multimedia processors offers graphics solutions to drive the ultimate visual experience across a wide range of devices, scaling from entry-level mass market smartphones through to visually stunning, high-performance smartphones, Android OS-based tablets and SmartTVs. Our Mali Graphics Processor is the world's shipping Graphics Processor. Please take a look at the following video to see what it's like to work in Arm: Requirements Education & Qualifications Bachelors, Masters or PhD (computer science or electronics engineering) with good academic record. Essential Skills & Experience Ability to lead and direct GPU engineering teams Experience of embedded software development for a commercial organization. Experience in 2D/3D graphics technology and standards such as Vulkan, OpenGL, OpenGL ES or Direct3D. Knowledge of graphics fundamentals, e.g.: GPU graphics pipeline and shaders. Expert knowledge of C/C++. Strong understanding of computer architecture (CPU, Memory, MMU Cache, etc.) Proficiency in problem solving and debugging skills. Experience of performance analysis, software optimisation and instrumentation. Willingness and ability to contribute to process improvement initiatives. Practical, organized and analytical approach to work. Next steps Sounds good? Then click apply today. With offices around the world, Arm is a diverse organisation of dedicated, innovative and highly talented professionals. By enabling a vibrant, inclusive, meritocratic, and open workplace, where all our people can grow and succeed, we inspire our people to share their unique contributions to Arm's success in the global marketplace.
Sep 22, 2022
Full time
We are looking for an enthusiastic Software Engineer ideally with strong knowledge of 3D/2D graphics to join our graphics software team in Cambridge. Ensure you read the information regarding this opportunity thoroughly before making an application. The role involves cooperating with highly motivated engineers from different disciplines and customers throughout the world to design, develop and deploy Vulkan and OpenGL ES drivers for the current and the next generation of Arm graphics cores. The Team In the GPU Team you will be working alongside the best engineers in the world, making market leading products for the most successful companies. With applications in mobile, machine learning, Internet of Things, automotive, security, and embedded devices, your ideas will make a difference and you will have the opportunity to lead, challenge the norm and ultimately change the world of media processing. The Arm Mali series of multimedia processors offers graphics solutions to drive the ultimate visual experience across a wide range of devices, scaling from entry-level mass market smartphones through to visually stunning, high-performance smartphones, Android OS-based tablets and SmartTVs. Our Mali Graphics Processor is the world's shipping Graphics Processor. Please take a look at the following video to see what it's like to work in Arm: Requirements Education & Qualifications Bachelors, Masters or PhD (computer science or electronics engineering) with good academic record. Essential Skills & Experience Ability to lead and direct GPU engineering teams Experience of embedded software development for a commercial organization. Experience in 2D/3D graphics technology and standards such as Vulkan, OpenGL, OpenGL ES or Direct3D. Knowledge of graphics fundamentals, e.g.: GPU graphics pipeline and shaders. Expert knowledge of C/C++. Strong understanding of computer architecture (CPU, Memory, MMU Cache, etc.) Proficiency in problem solving and debugging skills. Experience of performance analysis, software optimisation and instrumentation. Willingness and ability to contribute to process improvement initiatives. Practical, organized and analytical approach to work. Next steps Sounds good? Then click apply today. With offices around the world, Arm is a diverse organisation of dedicated, innovative and highly talented professionals. By enabling a vibrant, inclusive, meritocratic, and open workplace, where all our people can grow and succeed, we inspire our people to share their unique contributions to Arm's success in the global marketplace.
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology. The Role The Software Engineering team is focused on applying engineering rigour and innovative design to the BenevolentAI software platform. We embrace a modern microservice architecture on Kubernetes in order to orchestrate a machine learning platform that empowers drug discovery. Primary Responsibilities: Grow and lead a small team of software engineers. Design and build software to solve complex data requirements and user needs across biology, chemistry, AI, and data science. Promote engineering best practices, such as: code reviews, test-driven development, pair programming, etc. We are looking for someone with: Strong in at least one programming language (Python / Java / JavaScript preferred). Strong knowledge of algorithms and data structures for software development. Basic understanding of distributed systems and/or machine learning. Experience working with at least one of the following software systems: databases, APIs, microservice architectures Experience in at least one of the following software domains: backend development, data processing pipelines Proven track record of building software with a focus on the user. Experience building large applications, working with big data, and setting standards for code quality and test-driven development. Experience working in a team of diverse skills, including working with non-technical peers. Excellent communicator, especially when working with colleagues from other specialities. About us BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities. In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery. We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the 'apply' button and join us. Want to do a little more research before you apply? Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.
Feb 02, 2022
Full time
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology. The Role The Software Engineering team is focused on applying engineering rigour and innovative design to the BenevolentAI software platform. We embrace a modern microservice architecture on Kubernetes in order to orchestrate a machine learning platform that empowers drug discovery. Primary Responsibilities: Grow and lead a small team of software engineers. Design and build software to solve complex data requirements and user needs across biology, chemistry, AI, and data science. Promote engineering best practices, such as: code reviews, test-driven development, pair programming, etc. We are looking for someone with: Strong in at least one programming language (Python / Java / JavaScript preferred). Strong knowledge of algorithms and data structures for software development. Basic understanding of distributed systems and/or machine learning. Experience working with at least one of the following software systems: databases, APIs, microservice architectures Experience in at least one of the following software domains: backend development, data processing pipelines Proven track record of building software with a focus on the user. Experience building large applications, working with big data, and setting standards for code quality and test-driven development. Experience working in a team of diverse skills, including working with non-technical peers. Excellent communicator, especially when working with colleagues from other specialities. About us BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities. In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery. We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the 'apply' button and join us. Want to do a little more research before you apply? Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology. The Role The Software Engineering team is focused on applying engineering rigour and innovative design to the BenevolentAI software platform. We embrace a modern microservice architecture on Kubernetes in order to orchestrate a machine learning platform that empowers drug discovery. Primary Responsibilities: Grow and lead a small team of software engineers. Design and build software to solve complex data requirements and user needs across biology, chemistry, AI, and data science. Promote engineering best practices, such as: code reviews, test-driven development, pair programming, etc. We are looking for someone with: Strong in at least one programming language (Python / Java / JavaScript preferred). Strong knowledge of algorithms and data structures for software development. Basic understanding of distributed systems and/or machine learning. Experience working with at least one of the following software systems: databases, APIs, microservice architectures Experience in at least one of the following software domains: backend development, data processing pipelines Proven track record of building software with a focus on the user. Experience building large applications, working with big data, and setting standards for code quality and test-driven development. Experience working in a team of diverse skills, including working with non-technical peers. Excellent communicator, especially when working with colleagues from other specialities. About us BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities. In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery. We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the 'apply' button and join us. Want to do a little more research before you apply? Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.
Feb 02, 2022
Full time
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology. The Role The Software Engineering team is focused on applying engineering rigour and innovative design to the BenevolentAI software platform. We embrace a modern microservice architecture on Kubernetes in order to orchestrate a machine learning platform that empowers drug discovery. Primary Responsibilities: Grow and lead a small team of software engineers. Design and build software to solve complex data requirements and user needs across biology, chemistry, AI, and data science. Promote engineering best practices, such as: code reviews, test-driven development, pair programming, etc. We are looking for someone with: Strong in at least one programming language (Python / Java / JavaScript preferred). Strong knowledge of algorithms and data structures for software development. Basic understanding of distributed systems and/or machine learning. Experience working with at least one of the following software systems: databases, APIs, microservice architectures Experience in at least one of the following software domains: backend development, data processing pipelines Proven track record of building software with a focus on the user. Experience building large applications, working with big data, and setting standards for code quality and test-driven development. Experience working in a team of diverse skills, including working with non-technical peers. Excellent communicator, especially when working with colleagues from other specialities. About us BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities. In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery. We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the 'apply' button and join us. Want to do a little more research before you apply? Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology. The Role The Software Engineering team is focused on applying engineering rigour and innovative design to the BenevolentAI software platform. We embrace a modern microservice architecture on Kubernetes in order to orchestrate a machine learning platform that empowers drug discovery. Primary Responsibilities: Grow and lead a small team of software engineers. Design and build software to solve complex data requirements and user needs across biology, chemistry, AI, and data science. Promote engineering best practices, such as: code reviews, test-driven development, pair programming, etc. We are looking for someone with: Strong in at least one programming language (Python / Java / JavaScript preferred). Strong knowledge of algorithms and data structures for software development. Basic understanding of distributed systems and/or machine learning. Experience working with at least one of the following software systems: databases, APIs, microservice architectures Experience in at least one of the following software domains: backend development, data processing pipelines Proven track record of building software with a focus on the user. Experience building large applications, working with big data, and setting standards for code quality and test-driven development. Experience working in a team of diverse skills, including working with non-technical peers. Excellent communicator, especially when working with colleagues from other specialities. About us BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities. In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery. We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the 'apply' button and join us. Want to do a little more research before you apply? Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.
Feb 02, 2022
Full time
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology. The Role The Software Engineering team is focused on applying engineering rigour and innovative design to the BenevolentAI software platform. We embrace a modern microservice architecture on Kubernetes in order to orchestrate a machine learning platform that empowers drug discovery. Primary Responsibilities: Grow and lead a small team of software engineers. Design and build software to solve complex data requirements and user needs across biology, chemistry, AI, and data science. Promote engineering best practices, such as: code reviews, test-driven development, pair programming, etc. We are looking for someone with: Strong in at least one programming language (Python / Java / JavaScript preferred). Strong knowledge of algorithms and data structures for software development. Basic understanding of distributed systems and/or machine learning. Experience working with at least one of the following software systems: databases, APIs, microservice architectures Experience in at least one of the following software domains: backend development, data processing pipelines Proven track record of building software with a focus on the user. Experience building large applications, working with big data, and setting standards for code quality and test-driven development. Experience working in a team of diverse skills, including working with non-technical peers. Excellent communicator, especially when working with colleagues from other specialities. About us BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities. In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery. We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the 'apply' button and join us. Want to do a little more research before you apply? Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology. The Role The Software Engineering team is focused on applying engineering rigour and innovative design to the BenevolentAI software platform. We embrace a modern microservice architecture on Kubernetes in order to orchestrate a machine learning platform that empowers drug discovery. Primary Responsibilities: Grow and lead a small team of software engineers. Design and build software to solve complex data requirements and user needs across biology, chemistry, AI, and data science. Promote engineering best practices, such as: code reviews, test-driven development, pair programming, etc. We are looking for someone with: Strong in at least one programming language (Python / Java / JavaScript preferred). Strong knowledge of algorithms and data structures for software development. Basic understanding of distributed systems and/or machine learning. Experience working with at least one of the following software systems: databases, APIs, microservice architectures Experience in at least one of the following software domains: backend development, data processing pipelines Proven track record of building software with a focus on the user. Experience building large applications, working with big data, and setting standards for code quality and test-driven development. Experience working in a team of diverse skills, including working with non-technical peers. Excellent communicator, especially when working with colleagues from other specialities. About us BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities. In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery. We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the 'apply' button and join us. Want to do a little more research before you apply? Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.
Feb 02, 2022
Full time
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology. The Role The Software Engineering team is focused on applying engineering rigour and innovative design to the BenevolentAI software platform. We embrace a modern microservice architecture on Kubernetes in order to orchestrate a machine learning platform that empowers drug discovery. Primary Responsibilities: Grow and lead a small team of software engineers. Design and build software to solve complex data requirements and user needs across biology, chemistry, AI, and data science. Promote engineering best practices, such as: code reviews, test-driven development, pair programming, etc. We are looking for someone with: Strong in at least one programming language (Python / Java / JavaScript preferred). Strong knowledge of algorithms and data structures for software development. Basic understanding of distributed systems and/or machine learning. Experience working with at least one of the following software systems: databases, APIs, microservice architectures Experience in at least one of the following software domains: backend development, data processing pipelines Proven track record of building software with a focus on the user. Experience building large applications, working with big data, and setting standards for code quality and test-driven development. Experience working in a team of diverse skills, including working with non-technical peers. Excellent communicator, especially when working with colleagues from other specialities. About us BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities. In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery. We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the 'apply' button and join us. Want to do a little more research before you apply? Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology. The Role The Software Engineering team is focused on applying engineering rigour and innovative design to the BenevolentAI software platform. We embrace a modern microservice architecture on Kubernetes in order to orchestrate a machine learning platform that empowers drug discovery. Primary Responsibilities: Grow and lead a small team of software engineers. Design and build software to solve complex data requirements and user needs across biology, chemistry, AI, and data science. Promote engineering best practices, such as: code reviews, test-driven development, pair programming, etc. We are looking for someone with: Strong in at least one programming language (Python / Java / JavaScript preferred). Strong knowledge of algorithms and data structures for software development. Basic understanding of distributed systems and/or machine learning. Experience working with at least one of the following software systems: databases, APIs, microservice architectures Experience in at least one of the following software domains: backend development, data processing pipelines Proven track record of building software with a focus on the user. Experience building large applications, working with big data, and setting standards for code quality and test-driven development. Experience working in a team of diverse skills, including working with non-technical peers. Excellent communicator, especially when working with colleagues from other specialities. About us BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities. In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery. We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the 'apply' button and join us. Want to do a little more research before you apply? Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.
Feb 02, 2022
Full time
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology. The Role The Software Engineering team is focused on applying engineering rigour and innovative design to the BenevolentAI software platform. We embrace a modern microservice architecture on Kubernetes in order to orchestrate a machine learning platform that empowers drug discovery. Primary Responsibilities: Grow and lead a small team of software engineers. Design and build software to solve complex data requirements and user needs across biology, chemistry, AI, and data science. Promote engineering best practices, such as: code reviews, test-driven development, pair programming, etc. We are looking for someone with: Strong in at least one programming language (Python / Java / JavaScript preferred). Strong knowledge of algorithms and data structures for software development. Basic understanding of distributed systems and/or machine learning. Experience working with at least one of the following software systems: databases, APIs, microservice architectures Experience in at least one of the following software domains: backend development, data processing pipelines Proven track record of building software with a focus on the user. Experience building large applications, working with big data, and setting standards for code quality and test-driven development. Experience working in a team of diverse skills, including working with non-technical peers. Excellent communicator, especially when working with colleagues from other specialities. About us BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities. In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery. We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the 'apply' button and join us. Want to do a little more research before you apply? Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology. The Role The Software Engineering team is focused on applying engineering rigour and innovative design to the BenevolentAI software platform. We embrace a modern microservice architecture on Kubernetes in order to orchestrate a machine learning platform that empowers drug discovery. Primary Responsibilities: Grow and lead a small team of software engineers. Design and build software to solve complex data requirements and user needs across biology, chemistry, AI, and data science. Promote engineering best practices, such as: code reviews, test-driven development, pair programming, etc. We are looking for someone with: Strong in at least one programming language (Python / Java / JavaScript preferred). Strong knowledge of algorithms and data structures for software development. Basic understanding of distributed systems and/or machine learning. Experience working with at least one of the following software systems: databases, APIs, microservice architectures Experience in at least one of the following software domains: backend development, data processing pipelines Proven track record of building software with a focus on the user. Experience building large applications, working with big data, and setting standards for code quality and test-driven development. Experience working in a team of diverse skills, including working with non-technical peers. Excellent communicator, especially when working with colleagues from other specialities. About us BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities. In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery. We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the 'apply' button and join us. Want to do a little more research before you apply? Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.
Feb 02, 2022
Full time
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology. The Role The Software Engineering team is focused on applying engineering rigour and innovative design to the BenevolentAI software platform. We embrace a modern microservice architecture on Kubernetes in order to orchestrate a machine learning platform that empowers drug discovery. Primary Responsibilities: Grow and lead a small team of software engineers. Design and build software to solve complex data requirements and user needs across biology, chemistry, AI, and data science. Promote engineering best practices, such as: code reviews, test-driven development, pair programming, etc. We are looking for someone with: Strong in at least one programming language (Python / Java / JavaScript preferred). Strong knowledge of algorithms and data structures for software development. Basic understanding of distributed systems and/or machine learning. Experience working with at least one of the following software systems: databases, APIs, microservice architectures Experience in at least one of the following software domains: backend development, data processing pipelines Proven track record of building software with a focus on the user. Experience building large applications, working with big data, and setting standards for code quality and test-driven development. Experience working in a team of diverse skills, including working with non-technical peers. Excellent communicator, especially when working with colleagues from other specialities. About us BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities. In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery. We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the 'apply' button and join us. Want to do a little more research before you apply? Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology. The Role The Software Engineering team is focused on applying engineering rigour and innovative design to the BenevolentAI software platform. We embrace a modern microservice architecture on Kubernetes in order to orchestrate a machine learning platform that empowers drug discovery. Primary Responsibilities: Grow and lead a small team of software engineers. Design and build software to solve complex data requirements and user needs across biology, chemistry, AI, and data science. Promote engineering best practices, such as: code reviews, test-driven development, pair programming, etc. We are looking for someone with: Strong in at least one programming language (Python / Java / JavaScript preferred). Strong knowledge of algorithms and data structures for software development. Basic understanding of distributed systems and/or machine learning. Experience working with at least one of the following software systems: databases, APIs, microservice architectures Experience in at least one of the following software domains: backend development, data processing pipelines Proven track record of building software with a focus on the user. Experience building large applications, working with big data, and setting standards for code quality and test-driven development. Experience working in a team of diverse skills, including working with non-technical peers. Excellent communicator, especially when working with colleagues from other specialities. About us BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities. In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery. We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the 'apply' button and join us. Want to do a little more research before you apply? Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.
Feb 02, 2022
Full time
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology. The Role The Software Engineering team is focused on applying engineering rigour and innovative design to the BenevolentAI software platform. We embrace a modern microservice architecture on Kubernetes in order to orchestrate a machine learning platform that empowers drug discovery. Primary Responsibilities: Grow and lead a small team of software engineers. Design and build software to solve complex data requirements and user needs across biology, chemistry, AI, and data science. Promote engineering best practices, such as: code reviews, test-driven development, pair programming, etc. We are looking for someone with: Strong in at least one programming language (Python / Java / JavaScript preferred). Strong knowledge of algorithms and data structures for software development. Basic understanding of distributed systems and/or machine learning. Experience working with at least one of the following software systems: databases, APIs, microservice architectures Experience in at least one of the following software domains: backend development, data processing pipelines Proven track record of building software with a focus on the user. Experience building large applications, working with big data, and setting standards for code quality and test-driven development. Experience working in a team of diverse skills, including working with non-technical peers. Excellent communicator, especially when working with colleagues from other specialities. About us BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities. In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery. We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the 'apply' button and join us. Want to do a little more research before you apply? Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology. The Role The Software Engineering team is focused on applying engineering rigour and innovative design to the BenevolentAI software platform. We embrace a modern microservice architecture on Kubernetes in order to orchestrate a machine learning platform that empowers drug discovery. Primary Responsibilities: Grow and lead a small team of software engineers. Design and build software to solve complex data requirements and user needs across biology, chemistry, AI, and data science. Promote engineering best practices, such as: code reviews, test-driven development, pair programming, etc. We are looking for someone with: Strong in at least one programming language (Python / Java / JavaScript preferred). Strong knowledge of algorithms and data structures for software development. Basic understanding of distributed systems and/or machine learning. Experience working with at least one of the following software systems: databases, APIs, microservice architectures Experience in at least one of the following software domains: backend development, data processing pipelines Proven track record of building software with a focus on the user. Experience building large applications, working with big data, and setting standards for code quality and test-driven development. Experience working in a team of diverse skills, including working with non-technical peers. Excellent communicator, especially when working with colleagues from other specialities. About us BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities. In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery. We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the 'apply' button and join us. Want to do a little more research before you apply? Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.
Feb 02, 2022
Full time
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology. The Role The Software Engineering team is focused on applying engineering rigour and innovative design to the BenevolentAI software platform. We embrace a modern microservice architecture on Kubernetes in order to orchestrate a machine learning platform that empowers drug discovery. Primary Responsibilities: Grow and lead a small team of software engineers. Design and build software to solve complex data requirements and user needs across biology, chemistry, AI, and data science. Promote engineering best practices, such as: code reviews, test-driven development, pair programming, etc. We are looking for someone with: Strong in at least one programming language (Python / Java / JavaScript preferred). Strong knowledge of algorithms and data structures for software development. Basic understanding of distributed systems and/or machine learning. Experience working with at least one of the following software systems: databases, APIs, microservice architectures Experience in at least one of the following software domains: backend development, data processing pipelines Proven track record of building software with a focus on the user. Experience building large applications, working with big data, and setting standards for code quality and test-driven development. Experience working in a team of diverse skills, including working with non-technical peers. Excellent communicator, especially when working with colleagues from other specialities. About us BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities. In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery. We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the 'apply' button and join us. Want to do a little more research before you apply? Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology. The Role The Software Engineering team is focused on applying engineering rigour and innovative design to the BenevolentAI software platform. We embrace a modern microservice architecture on Kubernetes in order to orchestrate a machine learning platform that empowers drug discovery. Primary Responsibilities: Grow and lead a small team of software engineers. Design and build software to solve complex data requirements and user needs across biology, chemistry, AI, and data science. Promote engineering best practices, such as: code reviews, test-driven development, pair programming, etc. We are looking for someone with: Strong in at least one programming language (Python / Java / JavaScript preferred). Strong knowledge of algorithms and data structures for software development. Basic understanding of distributed systems and/or machine learning. Experience working with at least one of the following software systems: databases, APIs, microservice architectures Experience in at least one of the following software domains: backend development, data processing pipelines Proven track record of building software with a focus on the user. Experience building large applications, working with big data, and setting standards for code quality and test-driven development. Experience working in a team of diverse skills, including working with non-technical peers. Excellent communicator, especially when working with colleagues from other specialities. About us BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities. In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery. We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the 'apply' button and join us. Want to do a little more research before you apply? Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.
Feb 02, 2022
Full time
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology. The Role The Software Engineering team is focused on applying engineering rigour and innovative design to the BenevolentAI software platform. We embrace a modern microservice architecture on Kubernetes in order to orchestrate a machine learning platform that empowers drug discovery. Primary Responsibilities: Grow and lead a small team of software engineers. Design and build software to solve complex data requirements and user needs across biology, chemistry, AI, and data science. Promote engineering best practices, such as: code reviews, test-driven development, pair programming, etc. We are looking for someone with: Strong in at least one programming language (Python / Java / JavaScript preferred). Strong knowledge of algorithms and data structures for software development. Basic understanding of distributed systems and/or machine learning. Experience working with at least one of the following software systems: databases, APIs, microservice architectures Experience in at least one of the following software domains: backend development, data processing pipelines Proven track record of building software with a focus on the user. Experience building large applications, working with big data, and setting standards for code quality and test-driven development. Experience working in a team of diverse skills, including working with non-technical peers. Excellent communicator, especially when working with colleagues from other specialities. About us BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities. In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery. We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the 'apply' button and join us. Want to do a little more research before you apply? Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology. The Role The Software Engineering team is focused on applying engineering rigour and innovative design to the BenevolentAI software platform. We embrace a modern microservice architecture on Kubernetes in order to orchestrate a machine learning platform that empowers drug discovery. Primary Responsibilities: Grow and lead a small team of software engineers. Design and build software to solve complex data requirements and user needs across biology, chemistry, AI, and data science. Promote engineering best practices, such as: code reviews, test-driven development, pair programming, etc. We are looking for someone with: Strong in at least one programming language (Python / Java / JavaScript preferred). Strong knowledge of algorithms and data structures for software development. Basic understanding of distributed systems and/or machine learning. Experience working with at least one of the following software systems: databases, APIs, microservice architectures Experience in at least one of the following software domains: backend development, data processing pipelines Proven track record of building software with a focus on the user. Experience building large applications, working with big data, and setting standards for code quality and test-driven development. Experience working in a team of diverse skills, including working with non-technical peers. Excellent communicator, especially when working with colleagues from other specialities. About us BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities. In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery. We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the 'apply' button and join us. Want to do a little more research before you apply? Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.
Feb 02, 2022
Full time
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology. The Role The Software Engineering team is focused on applying engineering rigour and innovative design to the BenevolentAI software platform. We embrace a modern microservice architecture on Kubernetes in order to orchestrate a machine learning platform that empowers drug discovery. Primary Responsibilities: Grow and lead a small team of software engineers. Design and build software to solve complex data requirements and user needs across biology, chemistry, AI, and data science. Promote engineering best practices, such as: code reviews, test-driven development, pair programming, etc. We are looking for someone with: Strong in at least one programming language (Python / Java / JavaScript preferred). Strong knowledge of algorithms and data structures for software development. Basic understanding of distributed systems and/or machine learning. Experience working with at least one of the following software systems: databases, APIs, microservice architectures Experience in at least one of the following software domains: backend development, data processing pipelines Proven track record of building software with a focus on the user. Experience building large applications, working with big data, and setting standards for code quality and test-driven development. Experience working in a team of diverse skills, including working with non-technical peers. Excellent communicator, especially when working with colleagues from other specialities. About us BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities. In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery. We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the 'apply' button and join us. Want to do a little more research before you apply? Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology. The Role The Software Engineering team is focused on applying engineering rigour and innovative design to the BenevolentAI software platform. We embrace a modern microservice architecture on Kubernetes in order to orchestrate a machine learning platform that empowers drug discovery. Primary Responsibilities: Grow and lead a small team of software engineers. Design and build software to solve complex data requirements and user needs across biology, chemistry, AI, and data science. Promote engineering best practices, such as: code reviews, test-driven development, pair programming, etc. We are looking for someone with: Strong in at least one programming language (Python / Java / JavaScript preferred). Strong knowledge of algorithms and data structures for software development. Basic understanding of distributed systems and/or machine learning. Experience working with at least one of the following software systems: databases, APIs, microservice architectures Experience in at least one of the following software domains: backend development, data processing pipelines Proven track record of building software with a focus on the user. Experience building large applications, working with big data, and setting standards for code quality and test-driven development. Experience working in a team of diverse skills, including working with non-technical peers. Excellent communicator, especially when working with colleagues from other specialities. About us BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities. In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery. We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the 'apply' button and join us. Want to do a little more research before you apply? Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.
Feb 02, 2022
Full time
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology. The Role The Software Engineering team is focused on applying engineering rigour and innovative design to the BenevolentAI software platform. We embrace a modern microservice architecture on Kubernetes in order to orchestrate a machine learning platform that empowers drug discovery. Primary Responsibilities: Grow and lead a small team of software engineers. Design and build software to solve complex data requirements and user needs across biology, chemistry, AI, and data science. Promote engineering best practices, such as: code reviews, test-driven development, pair programming, etc. We are looking for someone with: Strong in at least one programming language (Python / Java / JavaScript preferred). Strong knowledge of algorithms and data structures for software development. Basic understanding of distributed systems and/or machine learning. Experience working with at least one of the following software systems: databases, APIs, microservice architectures Experience in at least one of the following software domains: backend development, data processing pipelines Proven track record of building software with a focus on the user. Experience building large applications, working with big data, and setting standards for code quality and test-driven development. Experience working in a team of diverse skills, including working with non-technical peers. Excellent communicator, especially when working with colleagues from other specialities. About us BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities. In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery. We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the 'apply' button and join us. Want to do a little more research before you apply? Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.