25 jobs found in Cambridge

At AstraZeneca we are constantly pushing the boundaries of science to deliver life-changing medicines to patients, with a passion for discovery and a pipeline to show for it. We’re pioneering innovative research and exploring novel pathways across key therapeutic areas including oncology, respiratory, inflammation and autoimmunity, cardiovascular and metabolic disease, and infection and vaccines. And we’re industry-leading in immunology, protein engineering and translational science. We offer a unique and strong collaborative network as together we explore synergies between small and large molecules. AstraZeneca has a dynamic environment that fosters collaboration and innovation. We attract top minds, and we nurture and build top talent. Those who join AstraZeneca feel a sense of ownership about their future. They thrive with a recognised leader in the industry.   AstraZeneca   is an agile, fast-moving and emerging industry leader in   oncology . We are a nimble organisation that values smart risk-takers. With   AstraZeneca , you will be applying a creative approach to science while being at the forefront of a strong and rich pipeline of cutting-edge medicines. Here, you will join passionate professionals who advance science, technology and medicine to develop products designed to help people live better lives. You will excel in an environment characterised by respect, integrity and growth opportunities. Our Oncology Pipeline Our robust pipeline includes investigational therapies in varied stages of clinical development, from recently approved products to earlier-stage molecules in clinical trials. We aspire to transform the lives of cancer patients, working to eliminate cancer as a cause of death in the future. In this role you will provide statistical expertise for complex design and interpretation of clinical studies, regulatory submissions and commercialisation. You will also act as a coach/guide for less experienced statisticians in the production of analysis, supporting graphics and analysis tables for CSRs, GMA studies or publications. You will also: Analyse internal and external information to inform design decisions and the development of decision criteria Develop a Statistical Analysis plan for complex studies and/or project deliveries Provide support to the complex study analysis, regulatory submissions including specification of overview documents and response to regulatory questions Contribute to the regulatory submissions including specification of overview documents and response to regulatory questions Identify opportunities for the application of modelling and simulation to improve study design Identify and apply statistical methodology to improve the process and delivery activities Perform ad hoc and exploratory data analyses Contribute to the development of best practice to improve quality, efficiency and effectiveness Requirements MSc or PhD in Statistics, Biostatistics, or Mathematics (containing a substantial statistical component) Knowledge of the technical and regulatory requirements related to the role and able to guide others on these Experience in drug development, study design, and data analysis and interpretation Excellent communication skills and ability to build strong relationships Excellent collaboration skills required – the energy to work across global & functional boundaries, both internally and externally Project management skills Ability to apply statistical expertise to complex problems, problem solving and quality focus Desirable Qualifications Experience in Oncology product development Coaching skills Experience in commercial or early development support work Expert statistical programming skills (SAS and R)

Apple's Machine Learning and AI team transform every Apple product and because we fully integrate hardware and software, we can collaborate to deliver amazing experiences while protecting user data. In this role you will drive the quality of groundbreaking technology including large scale systems, natural language, complex data, and artificial intelligence which combine to create the Siri user experience. We design and develop a testing methodology to integrate machine learned components with software releases. We implement important aspects in the automation roadmap for Siri Assistant, ML/NL, and Intelligence features.Key Qualifications Exposure to AI or ML based systems, search, or data engineering projects Strong test infrastructure, quality tools and automation, and system integration testing Knowledge of statistics based testing approaches Experience working with large scale server software features, detailed test planning, design, and execution Advanced programming skills in Java, Python, or OO language such as C++, Python, Obj-C or Swift Familiarity with current in distributed computing and data processing technologies Working experience with various logging and analytics frameworks Strong communication and organizational skills DescriptionAs part of Siri Quality Engineering you will partner with Siri ML Engineering teams to define new approaches to testing machine learning integrations. This role will focus on developing solutions for statistics-based testing, model dependency testing, and reporting accurate ML test coverage. As Siri's architecture and features evolve, the test infrastructure must continually adapt. This is a fast-paced role with high visibility, impact, and ensures we build the most advanced systems in the industry. Desirable skills: - Experience building machine learning systems and neural networks - Team lead experience is a big plus If this is you we'd love to hear from you!Education & ExperienceBS/MS/PhD in Computer Science or related field

Do you have a quantitative mindset who enjoys ensuring the experimental goals, experimental design, and analysis align? Would you like to join us on our journey where your contributions supporting our preclinical and nonclinical scientists will have a profound impact on R&D? We see you as our new   Bio Statistician/Senior Biostatistician   in our Data Sciences & Quantitative Biology department based in Cambridge, UK. The team you will join is built up of biostatisticians, statisticians, bioinformaticians, machine-learning specialists and image analysts. Main Duties and Responsibilities You will collaborate with researcher to help them design their experiments and analyze the data. To be successful in this, you will have a problem-solving mindset and a perceptive approach ensuring robust conclusions are drawn from the research. You will work on multiple projects to provide support for programs. Projects will be drawn from drug discovery, pre-clinical   in-vivo   or   in vitro   studies, assay and process development, quality control, and various ‘omics platforms. We will rely on you to Continue to develop your statistical and biological knowledge to allow you to support the researchers across non-clinical arena. Identify and deliver solutions for addressing key biological questions through statistics Build relationships with stakeholders to demonstrate value of statistics across AZ Communicate statistical concepts and results to engage a diverse audience Improve the underlying statistical capabilities and awareness of stakeholders Contribute to and lead both local and global projects Engage with external collaborators via publications and presentations A self-started who works independently driving projects forward. Be innovative in the identifying areas where you can have impact, in the statistical solutions you propose and in how you engage with the stakeholders. Essential Requirements: We believe that your focus is set on solving challenging problems through collaboration and partnerships. You are an expert in your field and you know that the best results are achieved by utilizing the strengths of every individual. Degree in a biology related subject Masters in biostatistics, data science or equivalent experience Programming experience with R, Python, or similar Excellent oral and written communication skills and interpersonal skills, especially when communicating statistical concepts to non-statisticians. Experience in applying statistics to biological problems Desirable Previous consulting experience Experience in exploring and optimizing experimental design General knowledge of the drug research and development process If you are interested, apply now!

Job Description Alexion Talent has opportunities across Europe and MENA for Professionals, who have an exceptional track record of driving impact for clients in various industries and various countries. As a candidate, you would be selected through professional, progressive stages, to be a best fit for the client and find a promising career for yourself. If you are in search for a new opportunity to bring out your experience and potential, we would like to meet you immediately. Responsibilities Collecting and storing data and turning it into information which can offer ways to improve the business. Gathering information from various sources and interpreting patterns and trends. Prepare and present detailed statistical and narrative reports, Proactively communicate and collaborate with stakeholders, business units, technical teams and support teams to define concepts and analyze needs and functional requirements, Responsible for responding to and providing data for internal and external surveys, Build data validation models and tools to ensure data being recorded is accurate, Work with business line owners to develop requirements, define success metrics, manage & execute analytical projects, and evaluate results, Develop dashboards to illustrate data insight. Requirements Bachelor’s degree in computer science,business, maths, statistics, engineering or related fields, Strong analytical and project management skills required, including a thorough understanding of how to interpret business needs and translate them into organizational and operational requirements. Knowledge and experience with advanced BI tools, Ability to independently research problem areas, facilitate meetings and decision-making processes, Demonstrative experience with presentation and data gathering software.

Ever wondered what it would have been like to have worked at companies like Uber, Spotify, Airbnb from the early stages and found yourself thinking wow I'm sure they've lined their pockets well and had a lot fun - well now's your chance to have a go and experience it yourself from the beautiful setting of Cambridge. You'll be joining a heavily funded Artificial Intelligence startup working at creating driverless cars and essentially building/creating an Uber but without the uncomfortable chat of their drivers and not to mention their dodgy driving.... The founders of this startup are incredibly famous British technologists who are the kind of people that appear in the Times and BBC News rather than just TechCrunch and where one of their previous companies was valued at £25 Billion... We're looking for a DevOps Engineer that wants to join a company at ground zero and build up their DevOps function working with immutable infrastructure, infrastructure as code and really immersing themselves in both Software and DevOps Engineering. If you wish to hear some more details then click apply now or give me a call on 07494421045. Please note that no terminology in this advert is intended to discriminate on the grounds of age, and we confirm that we will gladly accept applications from individuals of any age for this role. LinuxRecruit is a leading open source specialist and provides services as an agency and an employment business

Unlock the seriously huge potential at a very early stage, with a company focussed on Artificial Intelligence, and specifically driverless cars. Be involved in building the Uber for driverless cars! (just with a slightly better reputation...) With an equity stake at a company with less than 30 staff, and 30million funding, there is an opportunity to change the automotive industry as we know it. Your role will be DevOps Ground Zero, building the 'DevOps' Engineering function from the ground up. Due to the nature of the AI world you'll operate in, there are unprecedented levels of raw data that need to be manipulated and replicated to advance the technology. We require someone who can be both hands on and involved in a strategic level. For instance, what cloud platform do they adopt - AWS, Azure, Google? Or none of the above. You'll understand immutable infrastructure, you'll be interested in infrastructure as code, in containers, you'll be following the orchestration battles and will have a deep understanding of virtual machines. In addition to this, you'll understand what it takes to work for an early stage, high growth tech start-up. That everyone chips in where they need to, rolling up their sleeves to get their hands dirty in things not confined to 'their remit'. In return, you'll have the opportunity to work with some of the worlds smartest software engineers, on a product that could be potentially first to market, and genuinely ground breaking. Due to the nature of the role, you'll also be involved in the corporate infrastructure as the company grow, with a view to hiring people under your wing to manage the internal IT. The role incorporates multiple functions, with significant breadth and autonomy. A huge role, great technology, great people and an unbelievable concept. Please get in touch for a conversation to be considered... Key words:   Linux, LDAP, DNS, DHCP, Bash and Python scripting, Puppet, Ansible, Chef, Security, Virtualisation, Agile, Github, Docker, AWS

Start Date:  Negotiable Salary:  Competitive compensation package including share options, subject to experience Closing Date:  N/A Do you want to use your technical skills to help improve the lives of others? About Healx Healx ( https://healx.io ) is a fast growing Cambridge, UK startup combining computational methods and drug discovery expertise to identify existing drugs that may treat rare diseases, enabling treatments to be found at a fraction of the time and cost of traditional drug discovery. There are over 7,000 rare diseases that affect an estimated 350 million people worldwide, most of which lack effective treatment. Working closely with patient groups and charities to understand clinical unmet need we have a growing portfolio of treatments derived from our AI platform which are now moving into clinical evaluation. Our goal is having a patient impact at scale through technology. We have recently announced raising $56M Series B investment that will allow us to take more drug programs into clinical trials and grow our team from 40 talented scientists and engineers to 80. Our goal is having a patient impact at scale through technology. The role As a Data Engineer at Healx you will be joining a cross-disciplinary team of highly-skilled computational biologists, biocurators, machine learning data scientists, engineers and pharmacologists who are passionate about meeting urgent unmet medical need through AI-powered drug discovery. You will be building an infrastructure to aggregate, annotate and serve a variety of scientific data in support of our AI powered discovery process. What you will be doing: Working with engineers in a positive, collaborative environment to understand technical requirements Building a data environment to support acquisition and integration of data Supporting Healx AI drug discovery efforts by ensuring data sources are consistent, up to date and available We'd love to hear from you if you are: A graduate in a relevant informatics, mathematical, engineering or scientific discipline or have equivalent experience Experienced in life sciences / pharmaceutical sector and working with biological data Experienced Python programmer, familiar with relational and/or NoSQL databases Desirable: Experience of Cloud computing Awareness of FAIR principles An interest in Master Data Management and other methods Previous experience of evaluating and introducing new technology Have worked with ontological data for integration Ability to mentor and guide other team members in an agile environment Working at Healx Healx works from a modern accessible office in the centre of Cambridge within easy reach of the train station. We offer a flexible, diverse and inclusive working environment that considers your individual needs and believes in maintaining a sustainable work-life balance. You will be welcomed by a team of colleagues with decades of accumulated experience in their areas of expertise, happy to help you develop your own skills in a highly collaborative environment and who are keen to provide guidance and support in your personal and career development plans. How to apply Please submit your CV and cover letter below and quote the reference WEB-DENG20. Applying by any other means may not be successful.

About the placement This is an exciting opportunity to join us as a placement student and work with our outstanding team and make your mark on the international machine learning research arena. We have 2 more placements available in 2020 in the area of reinforcement learning and optimal control over stochastic networks. Here is a link to a possible project where you can get involved: Bayesian Optimisation in Reinforcement Learning PROWLER.io is home to a world-class, cross-disciplinary team of researchers and engineers in Cambridge, UK, the global centre of AI excellence. As a member of PROWLER.io’s research team, you will be contributing to our research and developing algorithms that will be used in products with our existing and future customers. Led by Professor Carl Rasmussen and Dr James Hensman, the team publishes findings at top ML venues including NeurIPS, ICML, JMLR and ICLR (Click here to learn more). The team focuses on probabilistic machine learning, model based reinforcement learning and decision making in complex environments. What will you be responsible for? You will conduct a three month research placement as part of one of our research teams You will produce research code that may become part of PROWLER.io's ML platform, or part of an open source project You will write a short report on your research, with a view to submission as a workshop paper at an ML conference You will participate in and engage with research activities within the company including seminars, research meetings and discussions. What skills, experience and qualifications are we looking for? You’re currently part of a PhD program in machine learning Strong programming skills in python/tensorflow Written scientific communication skills, e.g. through publication at a machine learning conference. To apply, please provide A copy of your CV Evidence of your research experience (e.g. publications or links to submitted work) A one-page project proposal outlining your intended research and how it fits with the work at PROWLER.io or let us know which of our projects in the link above you’d like to work on. Intellectual Property Rights (IPR)   - We will require a signed agreement from your University assigning the ownership of any IP generated during the course of your placement to PROWLER.io. It is recommended that you make contact with an authorised signatory at your University early in the application process to minimise any delays. About PROWLER.io We are a world-class, cross-disciplinary team of researchers, engineers and product managers in Cambridge, UK, the global centre of AI excellence, combining branches of mathematics and engineering in ways that have never been done before. This integrated approach - and our industry-leading research credentials - gives us a unique competitive advantage. We take pride in our diversity, valuing the experience and expertise that people from different backgrounds bring to our organisation. Our team of over 100 talented people from all over the globe consists of almost 30 different nationalities and we are growing. We are collaborative, innovative, ambitious, optimistic and curious. We believe AI is valuable only when it enables better decisions. We want to ensure that business is powered by people; empowered by AI. Click here to view our Candidate Privacy Notice

Company Overview: A leader in creating deep and engaging experiences on PC and mobile, Jagex was founded in 2001 and is today one of the UK’s biggest and most respected video game developers and publishers. Famed for its flagship MMOs RuneScape and Old School RuneScape, Jagex has welcomed more than 260million player accounts to its world and created a $1bn lifetime franchise revenue. Today the RuneScape franchise exists beyond running games in live operations; our titles are living games that connect and inspire millions of players, with content and experiences both inside and outside of inexhaustible game worlds. Both RuneScape and Old School RuneScape, on PC and mobile, offer ever-evolving, highly-active worlds and our community-focussed development ethos empowers players to have a real say in how each game is shaped. Jagex is expanding and extending its portfolio with fresh franchise titles, new IP and, in 2018 launched Jagex Partners, delivering third-party publishing and operational services exclusively for the living games of the future. Jagex employs more than 360 people at its Cambridge headquarters and is on the hunt for talented people to work across the business to help the company to achieve yet another year of record growth and player satisfaction. The Studio’s goal is to build a new gaming platform to allow our new games to integrate with at ease. Your team’s goal is to develop and work with a best-in-class Analytical Data Platform able to receive, interpret and feed data generated by our players back into games to improve their gaming experience, along with delivering valuable data insights and dashboards. This data is critical to the product teams, so that they can understand what the customers want and where both their enjoyment and pain points are.You will be working in an exciting and vibrant environment, you will be engaged in architectural designs, cutting edge technologies, testing and profiling, evaluating software solutions and programming. Key Duties: Participate in all aspects of agile software development and software lifecycle, including high level design, architecture definition, implementation, testing, deployment Design, develop, test, deploy and manage software applications to support our use of data and advanced analytics Create software and tooling necessary to build automated deployment pipelines Develop near real-time and batch-based data processing frameworks Build and maintain data pipelines to process diverse data sets at scale and with low latency Maintain and extend our data and analytics environments to provide additional tools and capabilities Containerize software applications and deploy them through container orchestration systems Ensure reliability and security, liaising with the security team to implement policies through code Lead the execution of projects and provide technical leadership to drive our data products and insight strategy, advocating the effective use of data technologies Mentor and lead members of the Data Engineering team; set a quality bar, inspire innovation & creativity and make the vision a reality Work with external development teams (2nd, 3rd or contractual) to successfully launch new technical products that provide advanced data science and analytical capabilities Essential Skills: Gamer at heart – we expect our employees to be product focused at all levels Significant experience in AWS Services (Lambda, S3, EMR, DynamoDb and CloudFormation) Significant experience with big data ecosystems and infrastructure including Hadoop, mapreduce, Vertica and Snowflake Highly proficient Python programmer Experience deploying applications through Container orchestration systems (Docker and Kubernetes) Proven history of adopting production related processes, deployment pipelines and reviews Agile enthusiast, proven experience working with Product Owners to expand user stories into engineering tasks, ensuring development is focused and impactful Deep understanding of design patterns and good code practices Understanding of current & future business needs relative to the gaming and technology industry Experience in building strong relationships within a company and empowering your team to do the same Company Benefits: Flexible Working Bonus Scheme Private Health Care Gym Membership Generous Pension Contributions Life Insurance Free Cycle Repair Income Protection Dental Plan Free Fruit and Drinks Subsidised Canteen Feel like you fit this role, but don’t meet all the requirements? We strive for fresh perspectives, so as long as you can demonstrate how your attitude and other abilities might make up for any gaps we would welcome your application!Jagex are an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, marriage or civil partnership, pregnancy or maternity, religion or belief.

Company Description Trustonic was formed in 2012 as a joint venture between industry stalwarts ARM (semiconductor design) and Thales (digital security). Our mission is to create value for our customers by providing simpler, stronger security to a connected world, and becoming the authority in digital trust. Today, Trustonic provides device security, app security, and managed-trust services. Over 2 billion devices are protected by Trustonic, and we provide secure solutions for industries including Financial Services, Telecommunications, Automotive, and others who need to be able to trust their apps and devices in a connected world. Our partners include the leading device, silicon, enterprise, identity, commerce and content companies. We believe in a connected world where trust unlocks new possibilities that benefit individuals, industry and society. If you would like to work in a small, innovative company with great technology, co-workers, a global ecosystem, and you’d like to be part of changing the way people trust in a connected world, then we’d love to hear from you! Job Description The Managed Trust Team is part of the wider Engineering group within Trustonic and is responsible for developing and delivering the servers and systems that underpin the Root of Trust and Asset Lifecycle Protection Service™ (ALPS) for our many partners. ALPS is a platform designed to give mobile operators complete control over the remote lock and unlock process. MNOs and MVNOs can now minimize smartphone theft, fraud and trafficking, allowing them to safeguard their device investments, protect revenue and drive additional profit contribution. Trustonic are seeking a committed and enthusiastic person to join a team of multi-talented engineers, heavily involved in the product and customer solution delivery. Role and Responsibilities The main responsibilities of the Senior Software Engineer (Contractor) role are: Feature development, debug, and testing from an early stage of the project right through to client delivery Integrate and extend components exposing new features in the platform Constantly innovate and improve the platform and associated products Work with engineering team colleagues and other technical experts Work with QA Engineers to constantly improve the product quality Lead/participate in design and code reviews across the product. Promote and use best practices in software development lifecycle from requirements through to testing and support. Track and resolve product defects Help with L3 support efforts as required Qualifications A degree in computer science, software engineering, or equivalent experience. Additional Information Essential Skills Java 8, Spring Boot, SQL, Linux Knowledge of RESTful web service technologies, including swagger Debugging the full stack: from UI to backend including networking Good familiarity with scripting languages, version control and build tools (Git / Maven / Gradle / Jenkins) Fluency in English is required as it is the business language in the Company Desirable Skills Database, code and performance optimisation Knowledge of Cloud web services (AWS, Alibaba, Openstack) Familiarity with Kubernetes, Docker and Docker compose Exposure to build systems, such as Gradle or Maven. Experience using Jenkins or other CI systems. Awareness of PKI and cryptography principles Personal Abilities Team player Energetic and passionate about delivering great software in a rapidly growing environment Prepared to invest whatever effort is required to get the job done Operate with integrity and transparency and conduct business in a proper manner Good creative intelligence Tenacious with a problem-solving approach Organized, rigorous and autonomous

Location United Kingdom - Cambridge Job Overview Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age and this is where you come in. Hands on engineering role in a world leading fabless Semiconductor company developing high end multicore personal audio SoCs. You will get the opportunity to work on challenging projects within a highly motivated, diverse and skilled team of Applications Engineers delivering world class support on our industry leading Bluetooth personal audio SoCs. You will engage with global customers and Qualcomm regional customer Engineers to accelerate customer project development through to commercial launch and beyond. Work at the cutting edge of personal audio development ensuring that customers technical requirements are fulfilled, and their problems resolved. You will become a member of an R&D team shaping the future of personal audio. The role proactively enhances the customer experience by contributing to the continual improvement of Qualcomms SoCs, Application Development Kits (ADKs), customer facing tools and associated content. Key Responsibilities: Manage and resolve customer support requests Cultivate position as a key technical resource for customers Perform offline debugging of customer issues Hold technical calls and live debug sessions with customers Assist in hosting technical workshops for customers at Qualcomm sites Visit customer sites on occasion Assist in the creation and delivery of real-time technical training to customers Act as a customer champion within the business Develop relationships with and deliver technical support to Customer Engineering teams Contribute to new feature training for Customer Engineering teams Work closely with development team colleagues to drive key product issues through to resolution Be an early adopter of Commercial software releases Proactively contribute to deliverable product content Assist in development and delivery of product demos Attend industry conferences and exhibitions Minimum Qualifications Engineering degree in Computer Science, Physics (or equivalent qualification) and relevant technical experience in a customer facing, problem solving based role. References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfil the principal duties of the role and possesses the required competencies. Preferred Qualifications Practical application of debugging embedded systems, hardware and software, using PC software tools and ancillary instrumentation Experience in embedded C programming, comprehension of specifications, software architecture implementations, source code control and configuration management Understanding of a common scripting language (e.g. Python) Demonstrable ability to understand issues from system level down to detailed hardware and software components Can-do attitude; Takes ownership of problems, works across multi-disciplined teams and drives fixes to conclusion Diagnostic and analytical skills with a limited amount of technical information Ability to think outside the box and devise creative workarounds in high pressure situations Makes technical and customer related decisions with reasonable supervision where no obvious process is available Adapts to changing requirements and learns new skills as required by assigned tasks Dynamic and outgoing personality with good customer facing skills and business acumen Excellent interpersonal, written and verbal communication skills Hands-on experience of enterprise CRM systems (such as Salesforce) Education Requirements Engineering degree in Computer Science, Physics (or equivalent qualification) and relevant technical experience in a customer facing, problem solving based role.

About HomeX Do you want to reinvent a trillion-dollar industry? HomeX is a radically better home services platform combining world-class technology and next generation service operations. We are reshaping the experience for both consumers and businesses in the trillion-dollar home services industry. Being radically better requires new end-to-end solutions for both consumers and technicians. This is why HomeX is combining a technology platform for the entire industry, a managed service network, and full-service experiences for consumers. Creating this integrated ecosystem enables us to deliver uniquely simple and personalized solutions that are redefining home services. HomeX has experienced exponential growth because of our commitment to evolve the industry, our determination to be a positive force, and our passion for groundbreaking technology. Joining HomeX now is a once in a lifetime career opportunity for anyone passionate about making a difference and making history in consumer technology. About the Job We are looking for a hands-on Software Engineer to join our new applied science team. In this role, you will focus on how to best understand and manage the complex ecosystem of parts and systems necessary for home services and repair. You will work with industry leaders to design and build a dynamic location-aware catalog and inventory system. This system will need to have tight integrations with 3rd party vendors, deep hooks into all areas of HomeX, and will have a massive impact on the productivity and efficacy of the company as a whole. Key Responsibilities Work closely with other areas of the Applied Science Team to ensure the parts data can be easily leveraged for problem diagnostics and job matching in the marketplace Build data structures, services, APIs, and UIs to facilitate the understanding and management of home services related parts Iterate on and expand the functionality of the catalog and inventory system(s) Maintain the catalog and inventory system(s) About You You love data and have a deep curiosity for uncovering its multifaceted relationships You love building applications and tools that solve subtle but big problems You care about details, systems, and processes to the degree that they support the big picture You have your preferences for technologies but are comfortable building in, and working with whatever technology is right for the problem space You can empathize with customers, technicians, the back-office, and other stakeholders to evolve HomeX’s operating model Specific Requirements 3+ years experience building large-scale web and data applications Bachelor’s in Computer Science or similar critical thinking focused discipline Expertise in two or more web programming/scripting languages Competency in one general-purpose statically/strongly typed language Proficiency working with data in various databases and formats (SQL, NoSQL, Graph, JSON, XML, etc.) Experience building in, and deploying to cloud environments (AWS, GC) in a CI/CD pipeline Must be authorized to work in the UK (no visa sponsorship/relocation) This role is based in our Cambridge, UK office Why work with us? Working at HomeX means collaborating with experienced, people-first leaders with a clear vision and a track record of success, as well as the close-knit camaraderie of a team of highly talented and motivated coworkers. We offer a collaborative, positive working environment where we encourage employees to balance productivity with the need to recharge the batteries. And of course, you get paid pretty well - we offer competitive compensation packages, including equity, performance-based incentives and competitive benefits for full time employees. HomeX values diversity in the workplace and is an equal opportunity employer. We are committed to providing an inclusive and accessible work environment. We thank all candidates who apply, but only those selected for an interview will be contacted. If you require accommodation, please let us know. We will work with you to meet your needs.

Start Date:  Negotiable Salary:  Competitive compensation package including share options, subject to experience Closing Date:  N/A Do you want to use your technical skills to help improve the lives of others? About Healx AtHealx ( https://www.healx.io ), we are discovering treatments for the 350 million people that are affected by rare diseases. Healx is a fast-growing Cambridge UK Biotech, combining computational methods and deep pharmacology expertise to identify existing drugs that may treat rare diseases, enabling new treatments to be found at a fraction of the time and cost of traditional drug discovery. As a Data Modeller/Engineer at Healx you will be joining a cross-disciplinary team of highly-skilled computational biologists, biocurators, machine learning data scientists, engineers and pharmacologists who are passionate about meeting urgent unmet medical need through AI-powered drug discovery. You will be enabling our analytical workflows by modelling and provisioning data assets optimised for the latest AI technologies. What you will be doing: Working with scientists in a positive, collaborative environment to understand data needs, evaluate data sources and develop suitable models Building production workflows to ingest and expose multiple structured and unstructured data sources Supporting Healx AI drug discovery efforts by ensuring data sources are consistent, up to date and available Essential requirements: A graduate in a relevant informatics, mathematical, engineering or scientific discipline Experience in life sciences / pharmaceutical sector and working with biological data Experienced Python programmer, familiar with relational and/or NoSQL databases Desirable: Experience of Cloud computing Previous experience of evaluating and introducing new technology Ability to mentor and guide other team members in an agile environment Healx will provide you with support and guidance to help you do your best work and make an impact. We offer flexible working and believe in maintaining a sustainable work-life balance. Please submit your CV and cover letter below and quote the reference WEB-DENG20. Applying by any other means may not be successful. For more information about Healx and how we use your data please go to https://healx.io/privacy/ ( https://healx.io/privacy/ ) Please note - we are not currently using agencies

Start Date:  Negotiable Salary:  Competitive compensation package including share options, subject to experience Closing Date:  N/A Do you want to use your technical skills to help improve the lives of others? About Healx Healx ( https://healx.io ) is a fast growing Cambridge, UK startup combining computational methods and drug discovery expertise to identify existing drugs that may treat rare diseases, enabling treatments to be found at a fraction of the time and cost of traditional drug discovery. There are over 7,000 rare diseases that affect an estimated 350 million people worldwide, most of which lack effective treatment. Working closely with patient groups and charities to understand clinical unmet need we have a growing portfolio of treatments derived from our AI platform which are now moving into clinical evaluation. Our goal is having a patient impact at scale through technology. We have recently announced raising $56M Series B investment that will allow us to take more drug programs into clinical trials and grow our team from 40 talented scientists and engineers to 80. Our goal is having a patient impact at scale through technology. The role As a Data Engineer at Healx you will be joining a cross-disciplinary team of highly-skilled computational biologists, biocurators, machine learning data scientists, engineers and pharmacologists who are passionate about meeting urgent unmet medical need through AI-powered drug discovery. You will be building an infrastructure to aggregate, annotate and serve a variety of scientific data in support of our AI powered discovery process. What you will be doing: Working with engineers in a positive, collaborative environment to understand technical requirements Building a data environment to support acquisition and integration of data Supporting Healx AI drug discovery efforts by ensuring data sources are consistent, up to date and available We'd love to hear from you if you are: A graduate in a relevant informatics, mathematical, engineering or scientific discipline or have equivalent experience Experienced in life sciences / pharmaceutical sector and working with biological data Experienced Python programmer, familiar with relational and/or NoSQL databases Desirable: Experience of Cloud computing Awareness of FAIR principles An interest in Master Data Management and other methods Previous experience of evaluating and introducing new technology Have worked with ontological data for integration Ability to mentor and guide other team members in an agile environment Working at Healx Healx works from a modern accessible office in the centre of Cambridge within easy reach of the train station. We offer a flexible, diverse and inclusive working environment that considers your individual needs and believes in maintaining a sustainable work-life balance. You will be welcomed by a team of colleagues with decades of accumulated experience in their areas of expertise, happy to help you develop your own skills in a highly collaborative environment and who are keen to provide guidance and support in your personal and career development plans. How to apply Please submit your CV and cover letter below and quote the reference WEB-DENG20. Applying by any other means may not be successful.

Current enrolment in a degree-granting college or university working towards a PhD in Machine Learning, Data Mining, Statistics, Applied Mathematics, or a related field. Hands on experience in probabilistic modelling and analysis, in particular one or more of: Bayesian machine learning, deep learning, crowdsourcing, user modelling. At least one refereed academic publication in these areas. Good coding skills. Experience in Python is a plus. Good communication skills and the ability to work in a team. The Alexa Shopping: Privacy and Machine Learning team in Cambridge is looking for Applied Science Interns for summer 2020. As an applied scientist in Alexa Shopping, you will be responsible for the research, design and development of new machine learning and privacy enhancing technologies for voice-based and multimodal shopping experiences. You will be working with top scientists and engineers, as well as with product teams and other research partners, both locally and abroad. Your work will combine data mining, systems and software development, exploration of new technologies, as well as working towards publications and presentations at top scientific conferences. The team has expertise in Gaussian processes, approximate inference, probabilistic modelling, deep learning, crowdsourcing, user modelling, and other related fields. We employ all these technologies to continually improve the experience of Amazon customers. Ability to convey rigorous mathematical concepts and considerations to non-experts. Ability to distil problem definitions, models, and constraints from informal business requirements; and to deal with ambiguity and competing objectives. Strong software development skills. Familiarity with one or more of: approximate methods in Bayesian inference, Gaussian Processes, transfer/continual/meta/active learning. By submitting your resume and application information, you authorize Amazon to transmit and store your information in the Amazon group of companies' world-wide recruitment database, and to circulate that information as necessary for the purpose of evaluating your qualifications for this or other job vacancies

Real World Science, Data Scientist Cambridge, UK At AstraZeneca we turn ideas into life changing medicines. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. We’re focused on the potential of science to address the unmet needs of patients around the world. We commit to those areas where we think we can really change the course of medicine and bring big new ideas to life. The Role The Real World Science & Digital team is a growing group within AstraZeneca’s global Evidence function which is driving the scientific use of Real World Data to accelerate the way patients access innovative medicines. The Real World Science and Digital team comprises of a core quantitative group, Digital Platform leads and Data Strategy experts providing AstraZeneca with an enterprise hub for Real World Science. AstraZeneca has a rich history in Real World Evidence, having developed a coherent strategy to develop and internalize data assets the group is now amplifying those investments through a dedicated Real World Data Science capability. Real World Data Scientists who are successful in this role will work on challenging problems, using innovative approaches to accelerate the delivery of Real World Insights and Evidence for key internal and external stakeholders. The ideal candidate for this role will bring a proven track record of delivering value through the leverage of routinely collected data from healthcare settings to provide health analytics and insights in a range of contexts including Public Health, Pharmaceutical Research and Development and Commercial/ Payer. They will collaborate with colleagues in Epidemiology, Statistics and Payer, giving scientific and technical guidance on study design, RW data selection and best practice in RW data utilization. In addition, they will assist in advancing and shaping AZ’s Real World Science data strategy through the due diligence on new data providers/vendors, informatics support for data acquisitions in a range of Therapeutic Areas. The role will promote best practice in Real World Data Science across multiple domains, and/or stakeholder groups. Typical Accountabilities Collaborate with Payer and Epidemiology teams to maximise the value derived from large observational research data Deliver analyses of data from EMR, claims and primary observational data required by TA RWE strategies Support the development of IVS strategies and selection of optimised contact models for prioritised markets through analysis of RWD Provide scientific guidance on the application of Real World Evidence and observational research data to address issues across the Oncology and Biopharmaceuticals business units Provide technical input, options and directions to strategic decisions made by AZ observational study teams on study design, data partner selection and best practices in RWE data utilization Support technical teams to provide access to analytical tools and develop visual analytics to enable self-serving applications for end customers Provide clear technical input, options, and direction to strategic decisions on RWE platform and capability build Provide support for strategic decisions on AZ Medical Evidence and Observational Research external collaborations in the US and other markets Assist in building a capability that becomes a source of sustained competitive advantage for AZ in identifying, acquiring, integrating and mining diverse RW data from multiple geographic and healthcare system sources to support evidence generation and real-world studies Evaluate and assess strengths and weaknesses of external RW data sources, and potential partners for advancing the data strategy for specific therapeutic areas Maintain a strong insight into the capabilities of potential external partners in RWE, especially for US and emerging markets. Education, Qualifications, Skills and Experience Essential PhD or MS in data science or other advanced degree in life sciences with post doctoral or other training/work in Medical/Health Informatics or related field Experience in real-world evidence and familiarity with health economics/epidemiology, and quantitative science such as health outcome modelling Expertise in EMR/Health IT, disease registries, and insurance claims databases Expertise in clinical data standards, medical terminologies and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode) Experience in supporting pharmacoepidemiology studies with proven track record of advancing approaches with data science Experience in Statistical Analysis Plan (SAP) generation and execution for observational studies Expertise in methods development and application using statistical languages such as R/Matlab/SAS/SQL/Hadoop/Python Experience in advanced visualisation and visual analytics of routinely collected healthcare data Desirable Expertise in data mining approaches within healthcare settings generating insight from routinely collected healthcare data A history of patient care or equivalent background of working at a patient care setting that allows the candidate to bring medical perspective into real-world evidence generation and observational studies Demonstrated ability to build long-term relationships with stakeholders at senior levels, understand relevant scientific/business challenges at a deep level and translate into a programme of informatics activities to deliver defined value Ability to lead & manage multi-disciplinary data science projects Strong track record of delivering large, cross functional projects Experience working in a global organization and delivering global solutions Use of Machine Learning and Artificial Intelligence in the generation of hypotheses within Real World Data

Ever wondered what thinking goes behind driverless cars? Want to work on very real problems impacting on the success and future of Artificial Intelligence? As a Software Engineer, you'll be working on complex problems Silicon Valley haven't even attempted to solve. You'll contribute to solving the urban driving problem, teaching a computer to train its own algorithms. Alongside the smartest engineers in the country, you will work on mathematical algorithms with C++ and Python. Joining an international team of engineers committed contributing to the aspirational lengths of Artificial Intelligence. You're someone who is excited by puzzles, problems and making your brain really tick. You will work on real software, training AI agents in datasets contributing to eliminating the risks and therefore the success of driverless cars. If you have an excellent academic background in Maths, Science or Physics, then you'll be working alongside similar individuals. Not only will you join an industry everyone is talking about, you'll also work for a startup with huge opportunity and value in shares, rewarded for your hard work. Pretty cool, right? To be in for a chance of being considered for this position, please get in touch.

Ever wondered what thinking goes behind driverless cars? Want to work on real problems impacting on the success and future of Artificial Intelligence? As a C++ Software Engineer, you'll be working on complex problems Silicon Valley haven't even attempted to solve in their modern offices in Central Cambridge. Contributing to solving the urban driving problem, teaching a computer to train its own algorithms. Alongside the smartest engineers in the country, you will work on mathematical algorithms with C++ and Python. Whether you're a mathematical programmer or Software Engineer, you will develop and design complex projects alongside some of the most talented engineers in the country. If you're interested in the future of AI and how you can contribute to the complex problems surrounding this you will join an international team of engineers committed contributing to the aspirational lengths of Artificial Intelligence. You're someone who is excited by puzzles, problems and making your brain really tick. You will work on real software, training AI agents in datasets contributing to eliminating the risks and therefore the success of driverless cars. It's a real bonus if you have an excellent academic background and enjoy research in the development of Maths, Science or Physics, then you'll be working alongside similar individuals. Not only will you join an industry everyone is talking about, you'll also work for a startup with huge opportunity and value in shares where you will be rewarded for your hard work. This is a great opportunity to join a company invested in engineering for the future and you can be a part of it. Please get in touch with Alice to find out more!

If you are ambitious, bright and eager to make a positive impact in a short amount of time using machine-learning and artificial intelligence, this may be the role for you. Unlike some of the bigger names around, this successful, self-funded, Cambridge start-up, with an established advantage in a competitive market, is offering the opportunity to develop your career in analytics and financial trading at a much faster rate than would be possible following the usual corporate route. If you can handle responsibility, they will give it to you. If you crave mental stimulation, you will find it here. If you want to constantly challenge yourself and see how far your potential can take you, joining this company could make the difference between achieving your goals in three years instead of ten. Their applications are machine-learning and AI processes applied to financial trading and modelling tools. They are looking for the brightest mathematicians and computer scientists to work on demanding projects, critical to the success of the business. The type of work you will be doing includes: developing APIs to support data pipelines; machine-learning; exploratory data analysis and live deployment of data processing pipelines. The emphasis is on giving you the space to produce quality work and ensuring you are continually challenged. It is a hard-working environment but to ensure their employees can perform at their best, the company does offer an unlimited holiday allowance. Minimum experience and skills necessary for this role: An excellent STEM degree (2.1 or above) from a university ranked in the world's top twenty An enthusiasm for providing reliable, elegant solutions to real-world challenges in data manipulation and processing Great skills in Python, R and a real desire to keep learning the latest technology in machine learning applications Full permission to live and work in the UK without time limit, restriction or sponsorship is also required. Keywords: Data Science, operations, ambition, machine-learning pipeline, artificial intelligence, TDD, continuous deployment, clean code Interested? Send your CV to ECM Selection; whilst we can only put forward the top few candidates, we do read every CV and try to respond to everyone. Or recommend a friend for £250, details at http://ecmselection.co.uk/tell-a-friend. Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest - we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company.

About Healx At Healx, we are discovering treatments for the 350 million people that are affected by rare diseases. We work with pharma companies, patient groups and charities to understand clinical unmet need and identify potential novel treatments for further testing. Healx is a fast-growing Cambridge UK Biotech, combining computational methods and deep pharmacology expertise to identify existing drugs that may treat rare diseases, enabling new treatments to be found at a fraction of the time and cost of traditional drug discovery. We are looking for an analytical, results-driven Back-End developer to join our Artificial Intelligence team to troubleshoot and improve current back-end applications and processes. What you will be doing: Building production ready applications and APIs to support our AI tools and data consumers. Compiling and analyzing data, processes and current applications to troubleshoot problems and identify areas of improvement. Collaborating with front-end developers and other AI team members to establish objectives and design functional, cohesive applications to enhance usage of AI methods across the company. Developing ideas for new applications, products or features by monitoring industry developments and trends. Taking lead on projects, as needed. Essential requirements: Proven track record of work experience in developing production-ready back-end applications. Strong software development experience (preferably in Python). Focus on efficiency, user experience, and process improvement. Excellent ability to work independently and in a team and resilience to partial specifications and/or priority changes. Desirable requirements: Understanding of AI current applications and techniques or interest in the field. Experience in deploying and maintaining cloud-based solutions (Google cloud / AWS) Experience exposing machine learning models via REST APIs Experience with search technologies like ElasticSearch. Experience or interest in developing micro-services architectures. Healx will provide you with support and guidance to help you do your best work and make an impact. We offer flexible working and believe in maintaining a sustainable work-life balance. Please submit your CV and cover letter below and quote the reference WEB-BESENG20. Applying by any other means may not be successful. For more information about Healx and how we use your data please go to https://healx.io/privacy/ ( https://healx.io/privacy/ ) Please note - we are not currently using agencies