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 a dynamic environment.
- Qualifications: MSc or PhD in bioinformatics, with programming skills in R/Python and NGS analysis experience.
- Other info: Collaborate with experts and present at international meetings to shape the future of cancer research.
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
Clinical Bioinformatics Scientist employer: NeoGenomics
Contact Detail:
NeoGenomics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Clinical Bioinformatics Scientist
✨Tip Number 1
Network like a pro! Reach out to professionals in the bioinformatics field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in clinical bioinformatics. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 3
Showcase your passion for the field! During interviews, share your experiences and projects that highlight your skills in NGS analysis and programming. We want to see your enthusiasm for improving patient care through your work.
✨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
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for bioinformatics shine through! We want to see how motivated you are to contribute to our mission of improving patient care. Share your experiences and what drives you in this field.
Tailor Your CV: Make sure your CV is tailored to the Clinical Bioinformatics Scientist role. Highlight relevant experience, especially in NGS analysis and programming skills in R or Python. We love seeing how your background aligns with what we do!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for NeoGenomics. Be specific about your skills and how they relate to the responsibilities listed in the job description. We appreciate a personal touch!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at NeoGenomics
✨Know Your Stuff
Make sure you brush up on your knowledge of next-generation sequencing (NGS) and bioinformatics. Be ready to discuss your experience with R and Python, as well as any relevant projects you've worked on. This will show that you're not just familiar with the concepts but can also apply them practically.
✨Show Your Passion for Learning
NeoGenomics is looking for someone who wants to grow and learn. Be prepared to talk about how you've continued to develop your skills in the past and what areas you're excited to explore further. This will demonstrate your motivation and fit for their dynamic environment.
✨Prepare for Technical Questions
Expect some technical questions related to bioinformatics and data analysis. Practice explaining your thought process when tackling problems, especially those involving NGS data analysis or variant calling. This will help you convey your analytical skills effectively.
✨Engage with Their Mission
Familiarise yourself with NeoGenomics' mission to improve patient care. During the interview, express how your work aligns with their goals and how you can contribute to saving lives through your role. This connection can make a strong impression on the interviewers.