Bioinformatics Engineer

Bioinformatics Engineer

Warrington Full-Time 28800 - 48000 £ / year (est.) Home office (partial)
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At a Glance

  • 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 chance to work with cutting-edge technology.
  • Why this job: Be at the forefront of genetic research while collaborating with top biotechs and pharma companies.
  • Qualifications: Experience in bioinformatics, programming (R/Python), and familiarity with cloud platforms is essential.
  • Other info: Opportunity for leadership and mentoring junior colleagues in a supportive environment.

The predicted salary is between 28800 - 48000 £ 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.

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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 will make you stand out.

✨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 gain insights and potentially get referrals.

✨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 the impact of your contributions on previous projects.

✨Tip Number 4

If you have experience mentoring or supervising junior colleagues, highlight this in conversations. Demonstrating your leadership skills will be crucial for a Lead Bioinformatics Engineer role, so be prepared to discuss your approach to guiding others.

We think you need these skills to ace Bioinformatics Engineer

Proficiency in R and Python
Experience with Perl, C, C++, Java, JavaScript or Scala
Familiarity with NextFlow and Snakemake
Knowledge of cloud platforms (GCP and AWS)
Data ingestion and management of genomic data sources
Robust data processing pipeline development
Database management and warehousing for biological data
Efficient I/O capabilities for data science workflows
High-performance computing frameworks (SLURM, AWS Batch)
SQL query writing for data manipulation and analysis
GUI and dashboard development for data exploration
Microservices and API development
Leadership and mentoring skills
Collaboration on client-facing projects
Adaptability to new technologies and methodologies

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 supported 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, Python, and any others mentioned in the job description. Be prepared to discuss specific projects where you've used 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, as this will show your capability to handle large-scale genomic data effectively.

✨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 utilised 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 or supervising junior colleagues. Share examples of how you've contributed to team success and fostered a collaborative environment.

Bioinformatics Engineer
Kleboe Jardine Ltd
Location: Warrington
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