Senior Bioinformatician

Hlx Life Sciences; Oxford; On-site; GBP 60,000 - 80,000; Full time

Job summary

An innovative firm is seeking a talented bioinformatician to join their team and make a significant impact on global health. In this role, you will develop and evaluate cutting-edge bioinformatic solutions that support research in infectious disease genomics. You will work closely with esteemed partners, including the University of Oxford, and engage in collaborative efforts to enhance operational practices. This position offers a chance to contribute to meaningful advancements in public health through data-driven analysis and innovative methodologies. If you are passionate about bioinformatics and eager to drive change, this opportunity is perfect for you.

Qualifications

• 3-5+ years of experience in bioinformatics and computational biology.
• Strong programming skills in Bash, Python, R, and Nextflow.

Responsibilities

• Develop and evaluate bioinformatic methods for infectious disease genomics.
• Collaborate with cross-functional teams to implement data-driven strategies.

Skills

Infectious Disease Genomic Analysis

Programming in Bash

Programming in Python

Programming in R

Nextflow

Docker

Data Structures for NGS Data

Leadership Skills

Communication Skills

Education

PhD in Bioinformatics or related field

Tools

Bioinformatics Tools

Cloud Computing

Job description

Reporting to the Lead Bioinformatician, you will have a unique and exciting opportunity to contribute to the development, evaluation, and deployment of groundbreaking bioinformatic solutions within a real-world context. We are on the lookout for exceptional talent and someone who embodies our passion, has the technical capability and sees the vast potential for global application of our products.

You'll engage closely with our partners at the University of Oxford, demonstrating a mission-driven attitude and adaptability to fulfil our collective objectives. Your contributions will not only be valued but encouraged, as we seek your input on enhancing our offerings, platform, and operational practices. This role promises an opportunity to make a real difference in the world through bioinformatic and cloud-based analysis for patient, hospital and public health benefit.

Responsibilities:

1. Develop code, implement and evaluate computational/bioinformatic methods and tools to support research and development in infectious disease genomics including AMR determination, and outbreak and relatedness information.
2. Create analysis pipelines and appraise and validate various tools’ performances.
3. Understand various sequencing devices and data types as well as have a good understanding of upstream laboratory processes.
4. Be familiar with current genomic repositories such as ENA, GenBank, GISAID etc.
5. Collaborate with cross-functional teams including academics, clinicians, computer scientists, biostatisticians, and biologists to develop and implement data-driven strategies.
6. Stay abreast of the latest developments in infectious diseases, bioinformatics, and computational biology.
7. Be innovative and take the initiative to introduce new ideas and approaches.
8. Set performance goals and provide regular feedback.

Required Skills:

1. A PhD qualification in bioinformatics, computational biology, microbiology, mathematics, genetic epidemiology, genomics, or equivalent.
2. Experience in infectious disease genomic analysis, epidemiology, and surveillance.
3. Having a scientific understanding of infectious disease genomics.
4. Strong programming skills in languages such as Bash, Python, R, Nextflow, Docker, etc.
5. Expertise in standard bioinformatics workflows and best practices for processing microbial genomic data.
6. Expertise in data structures for next-generation sequencing data, including transformations and output formats for efficient processing and analyses.
7. 3-5+ years of experience in bioinformatics and computational biology and an established or upcoming bioinformatic publication history.
8. Experience with large-scale genetic data analysis using bioinformatics tools and pipelines.
9. Proven leadership and management skills and excellent communication skills.
10. Ability to work effectively in a high-growth, fast-paced, dynamic environment.

Preferred Skills:

1. Experience working with cloud computing.
2. Experience with regulatory guidelines and systems e.g., FDA, CE, UKCA, EUCAST.
3. Familiarity with machine learning and data visualization techniques.
4. Experience working in a biotech or pharma industry setting.
5. A track record of launching an academic product in the commercial market.
6. Experience with biostatistics and modeling for infectious diseases.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Science