Principal Bioinformatics Scientist


Location: Cambridgeshire

Job Type: Full time


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 scientists achieve the next breakthrough? Does change and transformation excite you? Are you passionate about bringing bioinformatics to life (pun intended)? Then read on!

As we scale our Bioinformatics capabilities, we have an exciting opportunity for a senior lead in our Machine Learning and Bioinformatics team in Cambridge (UK) and Boston (US).

We work on next-generation solutions to fundamental questions, for example antibody development, cell engineering, etc. At Abcam, we are in a unique position, with strong data and technology offerings, advanced labs and expert teams. We work with internal and external partners, using algorithms and technology we continuously improve in order to scale and accelerate. If you are an enthusiastic and experienced bioinformatician then we look forward to receiving your application and to working with you.

In this role you will:

  • Work in the Machine Learning and Bioinformatics team at the forefront of innovation in life sciences

  • Propose, design, implement, and develop solutions for difficult and complex Bioinformatics applications that will affect life-changing products and services

  • Work on challenging projects and end-to-end Bioinformatics processes

  • Lead projects and engage in long-term strategic planning

  • Supervise and mentor Bioinformatic developers and analysts

  • Collaborate internationally with like-minded and skilled colleagues to identify, plan, develop and deliver production-quality, cloud-based 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!

We would love to hear from people with:

  • Experience in implementing NGS analysis pipelines and developing bioinformatics approaches for DNA and protein sequence analysis

  • Experience in antibody or protein structural modelling and antibody structure-function relationship

  • Experience in immune repertoire sequencing, phage display and other experimental approaches to optimize/engineer properties of antibodies

  • A solid understanding of data and statistical analysis

  • An innovative and growth mindset, you are self-motivated and pro-active, a team player with a can-do attitude, who wants to help and be your brilliant self

  • An ability to rapidly prototype, write and maintain Python code to high quality and performance standards, using Bioinformatics libraries

  • Experience in leading projects and supervising people

  • An interest and endurance in tackling diverse and complex data problems

  • A PhD (or exceptional talent) in Bioinformatics, Computational Biology, Bio-Medical Engineering, or a related field

  • Five years or more of relevant experience

And we are particularly keen if you also have:

  • Skilled in R and statistical analysis

  • Experience in software development practices

  • Experience in operating in an MLOps environment

  • Familiar with relational databases, data integration and statistical analysis

  • Attention to detail and highest coding standards

  • Excellent communication and interpersonal skills

  • An ability to work in a dynamic multidisciplinary environment, choosing and learning to use new tools as required

If you would like to be a part of a collaborative team and a fast-paced, growing business with a focus on Machine Learning and Bioinformatics 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 158 days full paid maternity leave which will increase for subsequent children.

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.


You’ve got this!