Clinical Bioinformatics Scientist in Cambridge
Clinical Bioinformatics Scientist

Clinical Bioinformatics Scientist in Cambridge

Cambridge Full-Time 36000 - 60000 £ / year (est.) No home office possible
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NeoGenomics

At a Glance

  • Tasks: Analyse next-gen sequencing data and support clinical projects to improve patient care.
  • Company: Join NeoGenomics, a leading cancer reference laboratory dedicated to saving lives.
  • Benefits: Remote work, competitive salary, and opportunities for continuous learning and growth.
  • Why this job: Make a real impact in healthcare while developing your skills in bioinformatics.
  • Qualifications: MSc or PhD in bioinformatics, with 2 years of relevant experience and programming skills.
  • Other info: Dynamic, purpose-driven environment with a focus on innovation and collaboration.

The predicted salary is between 36000 - 60000 £ per year.

Are you motivated to participate in a dynamic, multi-tasking environment? Do you want to join a company that invests in its employees? Are you seeking a position where you can use your skills while continuing to be challenged and learn? Then we encourage you to dive deeper into this opportunity.

NeoGenomics is looking for a Clinical Bioinformatics Scientist who wants to continue to learn in order to allow our company to grow. This is a remote position with a Monday – Friday, day shift.

As an employer, we promise to provide you with a purpose driven mission in which you have the opportunity to save lives by improving patient care through the exceptional work you perform. Together, we will become the world's leading cancer reference laboratory.

Position Summary: The Clinical Bioinformatics Scientist works within the Clinical Programs group, with a primary focus on processing and analyzing next-generation sequencing data from clinical cohorts and trials. They ensure that the analysis of sequencing runs is performed in a timely and reliable manner, monitoring the clinical data through a series of metrics.

Responsibilities:

  • Support the clinical team in analyzing data from clinical projects
  • Ensure samples are processed and results delivered within the target turnaround time (TAT)
  • Technical review of sequencing data
  • Perform non-standard assay processing of clinical samples
  • Lead data transfer activities
  • Attend, prepare and present material at international meetings of relevance, in alignment with company priorities
  • Lead exploratory data analysis to generate publishable material and/or inform R&D efforts regarding the current and future application of MRD assays
  • Follow all written procedures (SOPs) and safety requirements
  • Aid in the preparation of custom reports and analyses for collaborators

Education, Experience & Qualifications:

  • MSc or PhD in the field of computational biology, bioinformatics, or applied sciences, or significant industry experience in a relevant field required
  • 2 years of bioinformatics experience in an academic or, preferred, industry setting
  • Solid understanding of NGS analysis
  • Scientific programming experience in R and/or Python (Essential)
  • Familiarity with data visualization libraries in R/Python such as ggplot2 or matplotlib (Essential)
  • Experience working in a UNIX environment (Essential)
  • Experience with or strong desire to learn next generation sequence data analysis (Essential)
  • Experience with cancer genomics data (Desired)
  • Experience with variant calling and exome/WGS pipelines (Desired)
  • Prior experience with work in a regulated environment

All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.

Clinical Bioinformatics Scientist in Cambridge employer: NeoGenomics

At NeoGenomics, we pride ourselves on being an employer that truly invests in the growth and development of our employees. As a Clinical Bioinformatics Scientist, you will thrive in a supportive remote work environment that fosters continuous learning and collaboration, all while contributing to our mission of improving patient care and saving lives. With a strong emphasis on purpose-driven work and opportunities for professional advancement, NeoGenomics is an exceptional place to build a meaningful career in the field of bioinformatics.
NeoGenomics

Contact Detail:

NeoGenomics Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Clinical Bioinformatics Scientist in Cambridge

✨Tip Number 1

Network like a pro! Reach out to professionals in the bioinformatics field on LinkedIn or at industry events. A friendly chat can lead to opportunities you might not find on job boards.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving NGS analysis or data visualisation. This gives potential employers a taste of what you can do.

✨Tip Number 3

Prepare for interviews by brushing up on common bioinformatics questions and scenarios. Practice explaining your past experiences and how they relate to the role at NeoGenomics.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Clinical Bioinformatics Scientist in Cambridge

Next-Generation Sequencing (NGS) Analysis
Bioinformatics
Data Analysis
Scientific Programming in R
Scientific Programming in Python
Data Visualization with ggplot2
Data Visualization with matplotlib
UNIX Environment Experience
Cancer Genomics Data Analysis
Variant Calling
Exome/WGS Pipelines
Regulated Environment Experience
Analytical Skills
Communication Skills
Presentation Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Clinical Bioinformatics Scientist role. Highlight your bioinformatics experience, especially with NGS analysis and programming in R or Python. We want to see how you can contribute to our mission!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about bioinformatics and how your background aligns with our goals at NeoGenomics. Let us know what excites you about the opportunity to improve patient care.

Showcase Your Technical Skills: Don’t forget to mention your technical skills, especially your experience with data visualization libraries and working in a UNIX environment. We’re looking for someone who can hit the ground running, so make those skills stand out!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates. Plus, we love seeing applications come in through our own platform!

How to prepare for a job interview at NeoGenomics

✨Know Your NGS Inside Out

Make sure you brush up on your knowledge of next-generation sequencing (NGS) analysis. Be prepared to discuss specific techniques and tools you've used, especially in R or Python. This will show that you're not just familiar with the concepts but have practical experience too.

✨Showcase Your Problem-Solving Skills

During the interview, be ready to share examples of how you've tackled complex bioinformatics challenges in the past. Highlight your analytical thinking and how you approached data analysis in a timely manner. This will demonstrate your ability to thrive in a dynamic environment.

✨Familiarise Yourself with the Company’s Mission

NeoGenomics is all about improving patient care through exceptional work. Make sure you understand their mission and values, and think about how your skills can contribute to this goal. Showing genuine interest in their purpose will set you apart from other candidates.

✨Prepare for Technical Questions

Expect technical questions related to bioinformatics, data processing, and programming. Brush up on your knowledge of scientific programming in R/Python and be ready to discuss any relevant projects. Practising common interview questions can help you feel more confident.

Clinical Bioinformatics Scientist in Cambridge
NeoGenomics
Location: Cambridge
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