As an innovator in reagents and tools, we provide the research and clinical communities with tools and scientific support. We offer highly validated biological binders and assays to address important targets in critical biological pathways.Already a pioneer in data sharing and ecommerce in the life sciences, our ambition is to be the most influential company in life sciences by helping advance global understanding of biology and causes of disease, which, in turn, will drive new treatments and improved health.While we’ve evolved over the years to become a leading provider of life science research tools, our ethos remains the same as it was in 1998: helping scientists make breakthroughs faster by providing the highest quality reagents.

abcam Cambridge, Cambridgeshire, United Kingdom
22/10/2018
Full time
About the role This will sit within our established Consumer Insights and Analytics team and will help build marketing capability and improve product development with machine learning techniques. The role encompasses orchestrating how the company uses both internal and external large/semi-structured/unstructured data to predict future R&D opportunities as well as real-time algorithms to deliver personalised marketing and web experiences. About Consumer Insights & Analytics at Abcam The goal of the Consumer Insights and Analytics team is to catalyse growth across Abcam by helping the organization to transform consumer data into products and initiatives that help life scientists achieve their mission, faster.We are a team of market research, market intelligence, data analyst and data scientist specialists who enjoy working together and in our specialist areas to solve novel and knotty questions for the organisation. We are a growing team with lots of opportunities to influence the business and extend and utilize your skills across a wide range of areas. Roles & responsibilities: Encourage the use of data science and data-driven decision-making in the larger organisation. Innovate and implement machine learning algorithms that discover actionable patterns or inform hypotheses and insights. Clean and link complex datasets. Innovate and provide solutions for the business. Some of the problems encountered may be solved immediately; others will require, in concert with key stakeholders, the ability to first translate a complex commercial need into a well-defined problem. Work in an Agile way to orchestrate cross-functional projects for designing and testing new algorithms and models. Collaborate with marketers, other data scientists and analysts, engineers and software developers to build scalable solutions as needed. About you You should be qualified to at least a degree level (ideally Masters or PhD) in a quantitative field such as computer science, physics, mathematics, statistics or machine learning. You should have strong experience in the areas of data mining, machine learning, optimisation and simulation and should be an expert in analysing large, complex, multi-dimensional datasets with a variety of tools. You should have good knowledge of at least one programming language relevant to data science, i.e. Python, R, Java, Scala, etc. and the associated libraries. Experience with a variety of predictive algorithms is highly desirable, e.g. Bayesian models, random forests, SVMs, neural nets, etc., as well as an understanding of their theoretical properties and the circumstances under which they are appropriate or not. In addition, you will have experience deriving data-driven business insights in a commercial environment and be a clear communicator with a highly collaborative approach and the ability to adapt and learn quickly in a rapidly changing environment. If this sounds like you and you’d like to be a part of a fast paced, growing business with the vision to become the most influential company and best-loved brand in life sciences please apply now! About Us Ever since 1998, when our founder, Jonathan Milner, started selling antibodies from the back of his bike, Abcam has aimed to help scientific researchers make breakthroughs faster. We now have offices and labs in the UK, the US, China and Japan, and as we continue to grow, we remain ambitious, driven by our customers’ success and their research needs. It’s our goal to provide a world-standard in protein research tools, technical support and delivery. When you join Abcam, you’ll join a global business with the passion and the vision to become the most influential company, and, best-loved brand in life sciences. Our culture is our key differentiator. We believe in empowering individuals, with responsibility given at an early stage. The working environment is fun and fast-paced, collaborative and outcome focused, with a strong customer focus. In addition to competitive salaries, we offer an attractive and flexible benefits package (which includes shares for eligible employees), a culture focussed on wellbeing and opportunities for growth and development.
abcam Cambridge, Cambridgeshire, United Kingdom
22/10/2018
Full time
About the role This role sits within our established Consumer Insight and Analytics team and will help build marketing capability and improve product development with machine learning techniques. The role encompasses orchestrating how the company uses both internal and external large/semi-structured/unstructured data to predict future R&D opportunities as well as real-time algorithms to deliver personalised marketing and web experiences. About Consumer Insight & Analytics at Abcam The goal of the Consumer Insight and Analytics team is to catalyse growth across Abcam by helping the organization to transform data into products and initiatives that help life scientists achieve their mission, faster. We are a team of market research, market intelligence, data analyst and data scientist specialists who enjoy working together and in our specialist areas to solve novel and knotty questions for the organisation. We are a growing team with lots of opportunities to influence the business and extend and utilize your skills across a wide range of areas. Roles & responsibilities: Encourage the use of data science and data-driven decision-making in the larger organisation. Innovate and implement machine learning algorithms that discover actionable patterns or inform hypotheses and insights. Clean and link complex datasets. Innovate and provide solutions for the business. Some of the problems encountered may be solved immediately; others will require, in concert with key stakeholders, the ability to first translate a complex commercial need into a well-defined problem. Work in an Agile way to orchestrate cross-functional projects for designing and testing new algorithms and models. Collaborate with marketers, other data scientists and analysts, engineers and software developers to build scalable solutions as needed. About you You should be qualified to at least a degree level (ideally Masters or PhD) in a quantitative field such as computer science, physics, mathematics, statistics or machine learning. You should have strong experience in the areas of data mining, machine learning, optimisation and simulation and should be an expert in analysing large, complex, multi-dimensional datasets with a variety of tools. You should have good knowledge of at least one programming language relevant to data science, i.e. Python, R, Java, Scala, etc. and the associated libraries. Experience with a variety of predictive algorithms is highly desirable, e.g. Bayesian models, random forests, SVMs, neural nets, etc., as well as an understanding of their theoretical properties and the circumstances under which they are appropriate or not. In addition, you should be a clear communicator with a highly collaborative approach and the ability to adapt and learn quickly in a rapidly changing environment. If this sounds like you and you’d like to be a part of a fast paced, growing business with the vision to become the most influential company and best-loved brand in life sciences please apply now! About Us Ever since 1998, when our founder, Jonathan Milner, started selling antibodies from the back of his bike, Abcam has aimed to help scientific researchers make breakthroughs faster. We now have offices and labs in the UK, the US, China and Japan, and as we continue to grow, we remain ambitious, driven by our customers’ success and their research needs. It’s our goal to provide a world-standard in protein research tools, technical support and delivery. When you join Abcam, you’ll join a global business with the passion and the vision to become the most influential company, and, best-loved brand in life sciences.  Our culture is our key differentiator. We believe in empowering individuals, with responsibility given at an early stage. The working environment is fun and fast-paced, collaborative and outcome focused, with a strong customer focus. In addition to competitive salaries, we offer an attractive and flexible benefits package (which includes shares for eligible employees), a culture focussed on wellbeing and opportunities for growth
abcam Cambridge, Cambridgeshire, United Kingdom
22/10/2018
Full time
About the role: Abcam is looking for a Data Engineer who will design, construct and maintain the data architectures used by the Consumer Insight and Analytics team. The role encompasses the streamlining of existing data pipelines as well as the creation of new ones. The data in question is both structured and unstructured and relates to both customer interactions and product development. At present Abcam does not implement a distributed data storage and processing paradigm and thus experience with one is not essential. That said, in the future this will likely change and the ability to guide the company along this journey would be a decided bonus. Roles & responsibilities: Automating the provision of clean, structured and consistent data to tools produced by data  scientists and data analysts. Automating the extraction of data from a variety of tools and platforms. Recommending ways to improve data reliability and quality. About you: You will be degree qualified in a rigorous quantitative field (e.g. computer science, mathematics, physics etc), a computer science degree would be advantageous, but not essential. You will be a highly collaborative self-starter with expertise in SQL and experience in writing production code and creating data pipelines. You will have familiarity with Python and the commonly-used data science libraries (i.e. pandas and scikit-learn). In addition, you will be familiar with Linux and shell scripting with the ability to establish and maintain a relational database. You will have excellent prioritisation and project management skills with the ability to adapt and learn quickly in a changing environment. Familiarity with at least some part of the Hadoop ecosystem and with Oracle products would be beneficial.   If this sounds like you and you’d like to be a part of a fast paced, growing business with the vision to become the most influential company and best-loved brand in life sciences please apply now! About Us Ever since 1998, when our founder, Jonathan Milner, started selling antibodies from the back of his bike, Abcam has aimed to help scientific researchers make breakthroughs faster. We now have offices and labs in the UK, the US, China and Japan, and as we continue to grow, we remain ambitious, driven by our customers’ success and their research needs. It’s our goal to provide a world-standard in protein research tools, technical support and delivery. When you join Abcam, you’ll join a global business with the passion and the vision to become the most influential company, and, best-loved brand in life sciences. Our culture is our key differentiator. We believe in empowering individuals, with responsibility given at an early stage. The working environment is fun and fast-paced, collaborative and outcome focused, with a strong customer focus. In addition to competitive salaries, we offer an attractive and flexible benefits package (which includes shares for eligible employees), a culture focussed on wellbeing and opportunities for growth.