Abcam Plc

Senior Data Scientist

Job description

Company Description


From global research discoveries to clinical breakthroughs – our vision is to become the most influential life sciences company for researchers. If you are motivated by making a real impact to people’s life and have a desire to work in a passionate and diverse community, Abcam is the place for you.

Our culture is driven by our dedicated, agile and audacious community of professionals who are driven by a combined purpose and sense of belonging. We’re incredibly proud to be recognised as one of the top 5 best places to work in the UK for two years running, as per Glassdoor’s Employees’ Choice Award.


Job Description


Want to be part of a business with 22% growth last year? Are you looking to make a real impact on how science can make life-changing discoveries, on how we help life scientist achieve the next breakthrough? Does change and transformation excite you? Are you passionate about bringing machine learning to life (pun intended)? Then read on!

As we scale our Data Science, Machine Learning and Bioinformatics capabilities, we now have an exciting opportunity in our team in Cambridge (UK), Amsterdam and the US. We produce ML solutions enabling acceleration and innovation in life sciences. And you will directly contribute to making ML core to how the business operates.

Are you an enthusiastic Data Scientist who has experience working in an MLOps environment and who would love collaborating with our DevOps, Platform and UX/UI teams, with our Analysts and Data Engineers and with Scientists around the world? We need you. You will help us create solutions that scale and integrate with our products and workflows, both internally and externally.

In this role you will:

  • Work in the Machine Learning and Bioinformatics team at the forefront of data-driven optimisation and innovation in life sciences
  • Invent and develop ML solutions that impact life-changing products and services
  • Contribute to the MLOps ecosystem and become a champion of best coding and MLOps practice
  • Work on challenging projects and end-to-end ML processes
  • Collaborate internationally with like-minded and skilled colleagues to identify, plan, develop and deliver production-quality, cloud-based ML solutions
  • Have the opportunity to grow and develop in a fast moving company

Please keep in mind that the following description reflects the background we believe would best fit the role. If you are confident that you can ramp up quickly in some of the areas, we would still like to get to know you and look forward to receiving your application!


Qualifications


Qualifications

We would love to hear from people with a:

  • Solid understanding of machine learning, data science or bioinformatics techniques and methodologies
  • Ability to rapidly prototype, write and maintain Python code to high quality and performance standards
  • Experience with ML-related Python libraries (e.g. pandas, sklearn, TensorFlow/PyTorch, etc.)
  • Understanding of software development, deployment and MLOps
  • Interest and endurance in tackling diverse and complex data problems
  • University degree (or exceptional, proven talent) in Data Science, Machine Learning, Bioinformatics, Computer Science or a related quantitative subject.

And we are particularly keen if you also have:

  • Experience with recommender systems and real-time ML
  • Background in life sciences
  • Python expertise, with attention to detail and highest coding standards
  • Familiarity with graph technologies such as Neo4J
  • Hands-on experience with Spark, Linux, GitLab, GitOps, Docker, Airflow
  • Excellent communication and interpersonal skills
  • An innovative and growth mindset, you are self-motivated
  • An ability to work in a dynamic multidisciplinary environment, choosing and learning to use new tools as required
  • Experience with model lifecycle management
  • Participated in a machine learning competition, e.g. Kaggle
  • A PhD in an area as described above

If you’d like to be a part of a collaborative team and a fast-paced, growing business with a focus on ML and the vision to become the most influential company and best-loved brand in life sciences, please do apply.


Additional Information


We know that when it comes to benefits, no one size fits all. Flexibility and choice matter which is why we offer all kinds of ways to enable you and your loved ones to be well and live well. You can expect;

  • A culture focused on well-being and opportunities for growth and development. We provide a wide range of training opportunities, for both professional and personal development.
  • The freedom to work in a way that works for you, with a focus on maximising productivity and innovation at work whilst reducing environmental impact.
  • A performance-based share plan, inspiring and rewarding our people as we deliver Abcam’s strategy.
  • Attractive and flexible package including 18 weeks full paid maternity leave and 6 weeks full paid paternity leave, increased holiday allowance over time and much more.

We offer a truly inclusive environment where you can bring your whole self to work. This is underpinned by our Employee Resource Groups (ERGs) and our partnerships with WORK180 (endorsed employer for women) and MyGwork (LGBT+ professional community). All our positions are open as a Job Share, where two talented professionals can share the responsibility of a full time position. You can declare your interest in a job share role within the application form.

Abcam is an Equal Opportunity Employer and makes all employment decisions without regard to age, national origin, race, ethnicity, religion, creed, gender, sexual orientation, disability, veteran status, or any other characteristic protected by law.

If you’re interested in this particular role then we’d love to read your application.

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