Data Scientist & Bioinformatician: Breast Cancer Biomarkers

Data Scientist & Bioinformatician: Breast Cancer Biomarkers

Temporary 30000 - 40000 £ / year (est.) No working from home possible
The Institute Of Cancer Research

At a Glance

  • Tasks: Apply machine learning to breast cancer biomarker data and contribute to innovative clinical studies.
  • Company: The Institute of Cancer Research, a leader in cancer research and personalised therapy.
  • Benefits: Competitive salary, sponsorship for overseas applicants, and a supportive work environment.
  • Other info: Join a dynamic team dedicated to advancing cancer research over a 2-year contract.
  • Why this job: Make a real difference in cancer research and help shape the future of personalised therapy.
  • Qualifications: Experience in data science and bioinformatics, with a passion for healthcare innovation.

The predicted salary is between 30000 - 40000 £ per year.

The Institute of Cancer Research in Chelsea is seeking a Data Scientist/Bioinformatician to join the Molecular Oncology Laboratory. You will apply machine learning and computational statistics to high-dimensional biomarker data in breast cancer studies, reporting to Dr Ros Cutts.

The role contributes to next-generation clinical studies and personalised therapy research. The position is a 2-year fixed-term contract, 35 hours per week, with sponsorship for overseas applicants and a competitive

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Data Scientist & Bioinformatician: Breast Cancer Biomarkers employer: The Institute Of Cancer Research

The Institute of Cancer Research is an exceptional employer, offering a dynamic work environment in Sutton, Surrey, where innovation and collaboration thrive. With a strong commitment to employee growth, we provide access to exclusive benefits and flexible working options, ensuring a healthy work-life balance. Our dedication to diversity and inclusion fosters a culture where every voice is valued, making it a rewarding place for professionals passionate about advancing cancer research.

The Institute Of Cancer Research

Contact Details:

The Institute Of Cancer Research Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist & Bioinformatician: Breast Cancer Biomarkers

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Some tips for your application 🫡

Highlight Your Data Projects:When applying for a temporary data science role at The Institute Of Cancer Research, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.

Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!

Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to The Institute Of Cancer Research, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.

Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab The Institute Of Cancer Research’s attention and show the tangible impact of your work.

How to prepare for a job interview at The Institute Of Cancer Research

Showcase Your Analytical Skills

For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at The Institute Of Cancer Research.

Brush Up on Technical Skills

You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.

Highlight Your Adaptability

Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at The Institute Of Cancer Research.

Prepare a Portfolio of Your Work

Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at The Institute Of Cancer Research.