At a Glance
- Tasks: Analyze genomic data to improve patient care and support precision medicine.
- Company: Join a Central London-based Biotech focused on innovative genomic solutions.
- Benefits: Enjoy hybrid work options and collaborate with top professionals in the field.
- Why this job: Be part of groundbreaking projects that make a real impact in oncology and patient outcomes.
- Qualifications: MSc or PhD in Bioinformatics or related field; programming skills in Python or R required.
- Other info: Experience with cloud computing and familiarity with clinical genomics is a plus.
The predicted salary is between 36000 - 60000 £ per year.
Clinical Bioinformatician – Central London (Hybrid)
DNA Life Sciences is currently partnered with a Central London-based Biotech, who are currently searching for a Clinical Bioinformatician to join the team.
About the Role:
We are seeking a talented and dedicated Clinical Bioinformatician to play a key role in our efforts to harness genomic data to improve patient care. This position offers the opportunity to work on exciting projects that bridge advanced bioinformatics with clinical applications, driving insights that support precision medicine within a Biotech setting with a larger focus on Oncology.
Key Responsibilities:
- Analyse and interpret complex genomic datasets, focusing on identifying clinically relevant insights.
- Develop, validate, and implement bioinformatics pipelines for clinical and research purposes.
- Collaborate with multidisciplinary teams, including clinicians, scientists, and IT professionals, to integrate genomic insights into patient care.
- Evaluate and optimize tools, algorithms, and workflows for genomic data analysis.
- Ensure compliance with regulatory standards and guidelines in all aspects of bioinformatics work.
- Contribute to the preparation of scientific reports, publications, and presentations.
- Provide bioinformatics expertise and support to internal and external stakeholders.
Qualifications and Skills:
Education:
- MSc or PhD in Bioinformatics, Computational Biology, Genomics, or a related field.
Technical Skills:
- Proficiency in programming languages such as Python, R, or similar.
- Experience with bioinformatics tools and pipelines (e.g., Nextflow, GATK, or similar).
- Knowledge of genomic data formats (VCF, BAM, FASTQ) and databases.
- Familiarity with cloud computing environments and containerization (e.g., AWS, Docker).
Clinical Genomics Expertise:
- Strong understanding of human genetics and genomics, particularly in clinical contexts.
- Experience with variant annotation, prioritization, and interpretation.
Soft Skills:
- Excellent problem-solving and critical-thinking skills.
- Strong communication skills, with the ability to convey complex information to diverse audiences.
- Ability to work effectively in a multidisciplinary and collaborative environment.
Desirable Experience:
- Familiarity with regulatory and quality frameworks for clinical bioinformatics.
- Experience in whole-genome or exome sequencing data analysis.
- Understanding of rare diseases or cancer genomics.
- Publication record in peer-reviewed journals is a plus.
Contact: if you have any questions
Bioinformatician (Genomics) employer: DNA Life Sciences
Contact Detail:
DNA Life Sciences Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bioinformatician (Genomics)
✨Tip Number 1
Make sure to showcase your experience with bioinformatics tools and pipelines during the interview. Be prepared to discuss specific projects where you've utilized tools like Nextflow or GATK, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Highlight your understanding of clinical genomics and how it relates to patient care. Prepare examples of how you've applied genomic data analysis in a clinical context, especially in oncology, to show your relevance to the role.
✨Tip Number 3
Since collaboration is key in this role, think of instances where you've worked with multidisciplinary teams. Be ready to share how you effectively communicated complex bioinformatics concepts to non-experts, which will illustrate your strong communication skills.
✨Tip Number 4
Familiarize yourself with the regulatory standards and quality frameworks relevant to clinical bioinformatics. Being able to discuss compliance and quality assurance in your work will set you apart as a candidate who understands the importance of these aspects in the biotech industry.
We think you need these skills to ace Bioinformatician (Genomics)
Some tips for your application 🫡
Tailor Your CV: Make sure to customize your CV to highlight relevant experience in bioinformatics, particularly focusing on genomics and clinical applications. Emphasize your technical skills in programming languages like Python or R, and any experience with bioinformatics tools.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for bioinformatics and precision medicine. Mention specific projects or experiences that demonstrate your ability to analyze genomic data and collaborate with multidisciplinary teams.
Highlight Relevant Qualifications: Clearly outline your educational background, especially if you hold an MSc or PhD in Bioinformatics or a related field. Include any certifications or training that are pertinent to the role, such as experience with cloud computing or regulatory standards.
Showcase Soft Skills: In your application, don't forget to mention your soft skills. Highlight your problem-solving abilities, communication skills, and experience working in collaborative environments, as these are crucial for the role of a Clinical Bioinformatician.
How to prepare for a job interview at DNA Life Sciences
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in programming languages like Python and R. Highlight any experience you have with bioinformatics tools and pipelines, as well as your familiarity with genomic data formats.
✨Demonstrate Clinical Understanding
Make sure to convey your knowledge of human genetics and genomics, especially in clinical contexts. Discuss any relevant experience you have with variant annotation and interpretation, as this is crucial for the role.
✨Emphasize Collaboration
Since the role involves working with multidisciplinary teams, be ready to share examples of how you've successfully collaborated with clinicians, scientists, or IT professionals in the past. Communication skills are key!
✨Prepare for Regulatory Questions
Familiarize yourself with regulatory standards and guidelines related to clinical bioinformatics. Be prepared to discuss how you ensure compliance in your work, as this will be an important aspect of the role.