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- Tasks: Join a dynamic team to drive genetic research and develop innovative bioinformatics solutions.
- Company: A bespoke consultancy excelling in drug discovery and precision medicine across the UK.
- Benefits: Enjoy flexible working options, mentorship opportunities, and a collaborative work culture.
- Why this job: Be at the forefront of cutting-edge research while mentoring the next generation of engineers.
- Qualifications: Experience with bioinformatics data types and programming in R/Python; familiarity with NextFlow is a plus.
- Other info: Opportunity for career growth and involvement in impactful projects within the biotech industry.
The predicted salary is between 36000 - 60000 £ per year.
My client is a successful and bespoke consultancy business operating throughout the UK. They have expertise in early-phase drug discovery, statistical genetics, precision medicine, translational genomics and engineering within the space. Their clients and partners span leading biotechs, pharma, and research groups. This is a fantastic opportunity for a Senior or Lead Bioinformatics Engineer to join their growing team. The role is suited to engineers who have some prior knowledge or experience of bioinformatic datatypes and use of NextFlow. This role will be pivotal in driving genetic research initiatives and contributing to cutting-edge solutions that enhance the company's services. You will provide expertise and leadership on collaborative client-facing projects, and also contribute to the development of in-house tools. At the Lead level, you will also operate as a mentor and supervisor to junior colleagues.
What you’ll do:
- Utilise R and/or Python, and any of Perl, C, C++, Java, JavaScript or Scala for programming.
- Work with cloud platforms (predominantly GCP and AWS).
- Implement and manage data ingestion modules to download and manage publicly available genomic and molecular data sources.
- Ensure robust data processing pipelines and workflows for handling large-scale genomic data.
- Build, populate and manage databases and/or warehouses used for access to and storage of biological data.
- Providing efficient I/O capabilities to connect data and use efficiently in data science workflows and products.
- Utilise orchestration (e.g. Nextflow, Snakemake) and high-performance computing (e.g., SLURM, AWS Batch) frameworks.
- Write efficient and optimised SQL queries for data manipulation and analysis.
- Build and maintain GUI, dashboards and website front-ends to enable user-friendly exploration of data or execution of data science workflows.
- Build Microservices and APIs.
- Oversee the existing pipelines and lead/support the design of the new pipelines and workflows based on on-prem or cloud-based high performance computing infrastructures.
Apply as directed above, or contact Campbell Pratt for a confidential discussion.
Bioinformatics Engineer employer: Kleboe Jardine Ltd
Contact Detail:
Kleboe Jardine Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bioinformatics Engineer
✨Tip Number 1
Familiarise yourself with the specific bioinformatics tools and programming languages mentioned in the job description, such as R, Python, and NextFlow. Having hands-on experience or projects that showcase your skills in these areas can significantly boost your chances.
✨Tip Number 2
Network with professionals in the bioinformatics field, especially those who work with cloud platforms like GCP and AWS. Engaging in relevant online communities or attending industry events can help you make valuable connections and learn about potential opportunities.
✨Tip Number 3
Prepare to discuss your experience with data processing pipelines and workflows during interviews. Be ready to share specific examples of how you've managed large-scale genomic data and any challenges you've overcome in previous projects.
✨Tip Number 4
If you have experience mentoring or supervising junior colleagues, highlight this in conversations with potential employers. Demonstrating your leadership skills can set you apart, especially for a Lead Bioinformatics Engineer role.
We think you need these skills to ace Bioinformatics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in bioinformatics, programming languages like R and Python, and any familiarity with NextFlow. Emphasise your contributions to previous projects, especially those involving genomic data.
Craft a Compelling Cover Letter: In your cover letter, express your passion for bioinformatics and how your skills align with the company's focus on early-phase drug discovery and precision medicine. Mention specific projects or experiences that demonstrate your expertise and leadership potential.
Showcase Technical Skills: Clearly outline your technical skills related to cloud platforms (GCP, AWS), data processing pipelines, and database management. Provide examples of how you've implemented these skills in past roles to solve complex problems.
Highlight Leadership Experience: If applying for the Lead position, emphasise any mentoring or supervisory roles you've held. Discuss how you've guided junior colleagues and contributed to team success, showcasing your ability to lead collaborative projects.
How to prepare for a job interview at Kleboe Jardine Ltd
✨Showcase Your Technical Skills
Make sure to highlight your experience with programming languages like R and Python, as well as any familiarity with Perl, C, or Java. Be prepared to discuss specific projects where you've implemented these skills, especially in relation to bioinformatics data types and NextFlow.
✨Demonstrate Your Problem-Solving Abilities
Prepare examples of how you've tackled complex data processing challenges in the past. Discuss your approach to building robust data pipelines and workflows, and how you ensure efficiency when handling large-scale genomic data.
✨Familiarise Yourself with Cloud Platforms
Since the role involves working with GCP and AWS, brush up on your knowledge of these cloud platforms. Be ready to explain how you've used them in previous roles, particularly in relation to data ingestion and management.
✨Emphasise Leadership and Mentorship Experience
If you're applying for a Lead position, be sure to discuss any experience you have in mentoring junior colleagues. Share examples of how you've supported team members in their development and contributed to collaborative projects.
