Bioinformatician / Senior Bioinformatician

Tagomics; Cambridge; Hybrid; GBP 40,000 - 80,000; Full time

Job summary

Join a pioneering biotechnology firm as a Bioinformatician, where you'll leverage cutting-edge computational techniques to analyze NGS data and develop innovative epigenetic profiles. This role offers a unique opportunity to contribute to transformative technology aimed at revolutionizing disease diagnostics. With a strong focus on collaboration and personal development, you'll work in a hybrid environment that balances flexibility with team engagement. If you're passionate about bioinformatics and eager to make an impact in the field of genomics, this is the perfect opportunity for you.

Benefits

Matched pension contributions up to 8%

Performance related bonus scheme

Flexible working hours

On-site parking

On-site gym

On-site nursery

Restaurant and coffee shop on campus

Qualifications

• Ph.D. in bioinformatics and/or epigenetics required.
• Experience in handling NGS datasets including quality control and analysis.

Responsibilities

• Analyze and interpret NGS data using our epigenetics platform.
• Develop patient epigenetic profiles and discover novel biomarkers.

Skills

Bioinformatics

Epigenetics

NGS Data Processing

Python Programming

R Programming

Data Visualization

Machine Learning

Education

Ph.D. in Bioinformatics or Epigenetics

Tools

Nextflow

Data Visualization Tools

Job description

Tagomics Cambridge, England, United Kingdom

Tagomics Cambridge, England, United Kingdom

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Director of Computational Technology at Tagomics

Full time, 2 year contract, hybrid (1 day a weekin the office)

About Tagomics:

Tagomics has developed a ground-breaking multiomic biomarker discovery platform that offers a step change in genomics-based disease profiling and diagnosis.

Originating from the pivotal research of Dr. Robert Neely and his team at the University of Birmingham, Tagomics' proprietary technology unlocks DNA-based disease-associated biomarkers spanning genetic, epigenetic, and fragmentomic features. In combination with advanced bioinformatic and machine learning approaches we can provide unique biological insights, and we already have exciting results from a range of cancer patient samples including blood and tissue.

Learn more about our technology from our recent scientific paper - http://tinyurl.com/TagomicsPaper

As we gear up for the next phase of our journey, having secured £6.7m in investment to further develop our platform, we have moved to new labs and offices at Illumina Ventures Lab at Granta Park Research Campus near Cambridge as we work towards unveiling our first commercial product.

Learn more about Tagomics and its investors here - http://tinyurl.com/Tagomics

Tagomics invites a Bioinformatician to join our multidisciplinary team to make a lasting contribution to a unique technology that will transform our understanding of disease and diagnosis.

About the role:

We are looking fora bioinformatician tocontribute to the analysis and interpretationof NGS data, generated using our unique epigenetics platform, as well as to develop ways to create patient epigenetic profiles and discover novel biomarkers for both diagnostics and prognostics.You will gain exposure to cutting edge computational epigenetics and machine learning approaches and explore the latest bioinformatic developments for biomarker discovery, NGS and epigenetic data analysis. We encourage applicants that don’t meet all requirements or those that have had non-traditional career paths to apply, as diversity builds better teams.We will provide you with support to help you do your best work and make an impact.

Your background will include:

• A Ph.D. in bioinformatics and/or epigenetics
• Experience in handling and processing NGS datasets (such as WGS, Exome sequencing, RNA-seq etc), including raw data quality control, alignment and processing as well as analysis and interpretation
• Familiarity with data visualization and analytics tools
• Comfortable coding in either Python or R

It would be great if you had:

• Knowledge of analysing epigenetics datasets such as ATAC-seq ChIP-seq, WGBS, MeDIPs, etc
• Experience in analysing ‘omics datasets for biological interpretation and actionable insights.
• Scientific domain expertise in epigenetics, cancer genomics, liquid biopsy or biomarker discovery and relevant publications in peer-reviewed journals
• Familiarity with cloud environments and bioinformatics pipelines (e.g. Nextflow)
• Familiarity with machine learning algorithms
• Familiarity with variant calling packages and/or gene panels

We are a small but rapidly expanding company – by joining us early in our journey you will gain exposure to the various facets of start-up life and have a unique chance to contribute to our technology and influence our company culture. As we expand this role has excellent personal development opportunities.

The role is hybrid (minimum 1 day a weekin the office at Granta Park, Cambridge).We offer:

• Matched pension contributions up to 8%
• Performance related bonus scheme

We offer flexible working and believe in maintaining a sustainable work-life balance. Our modern offices at Granta park are lift accessible and have ample on-site parking as well as bike stands. The campus has a shuttle bus that runs to Cambridge and Whittlesford train stations, an onsite nursery, gym, restaurant and coffee shop.

We are not currently sponsoring visas for this position. You will need to be able to legally work in the UK.

No agencies please - we will not be accepting speculative CV's for this opening.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Biotechnology

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