Principal Bioinformatician – Cancer Genomics
This is a great opportunity for a collaborative and self-motivated bioinformatician to spearhead cancer evolutionary genomics analysis and the design and operation of the bioinformatics NGS pipeline for the TRACERx Renal cancer and associated programmes within this organisation. The role is ideally suited for a creative individual with a strong interest in cancer genomics, cancer evolution, software development and testing, database analysis, and automation within a high throughput academic setting. A successful candidate will have strong software engineering and programming skills and be keen to apply these skills to the field of cancer genomics and cancer evolutionary biology.
Key Responsibilities Include:
Lead on the running and development of the NGS analysis pipelines.
*Evaluate and provide software, databases, protocols and methods to aid in the analysis of genomic and genetics experiments from academic and commercial sources.
*Develop methodologies and techniques to address analysis issues and implement software and data resources in relation to these technologies.
*Lead the bioinformatics analysis of projects with a view to high impact publications investigating cancer evolution and the interface with the immune microenvironment and novel profiling methods.
*Provide consultation and communication in data analysis, statistics, genomics and other areas of bioinformatics, to other members of the team.
*Produce thorough but concise written documentation of algorithms, validations, SOPs, and other processes and procedures as required.
*To liaise and coordinate between various working groups involved in the sequencing of clinical samples to ensure the delivery of high-quality sequence data in a time efficient manner.
*To record all experiments in an accurate, timely and clearly presented manner, and use this to prepare data summaries and reports as and when required.
*To attend, and report research results at regular group and (inter)national meetings.
Key Experience and Competencies Include:
Qualifications, experience and competencies:
*Higher degree in a relevant subject with an extensive analytical component e.g. bioinformatics, statistics, molecular biology
*Fluent in at least one of the following programming languages: Python or R
*Familiarity with the application of statistical techniques to biological data
*Considerable experience of using bioinformatics in a biological field, ideally translational research projects
*Demonstrable experience of NGS analysis methodologies and protocols
*Experience of interaction with investigators on scientific projects and working in a collaborative environment
*Experience of managing a large analysis project over a number of years is desirable.
*Works with minimal supervision, organising and prioritising own workload
*Excellent communication skills within a research environment, building highly effective working relationships with team and customers.
*Excellent scientific analysis skills
*Evidence of independent and original contribution to research
*Ability to manage projects to timelines, analyse, present and write up data in a timely manner
*Good presentation skills
*Excellent inter-personal skills and commitment to team-work
*Experience in the field of evolutionary biology/cancer evolution is desired
*Experience with machine learning is desirable
Qualifications, experience and competencies:
*An understanding of programming, particularly with regard to big data, data visualisation and data-mining techniques within a genomic or genetical environment
*Knowledge of genetics, model organisms, cancer biology
*A broad comprehension of high throughput genomic technologies
*Experience of having managed a large bioinformatics project
*Experience of supervising or mentoring other members of the team
*Experience of monitoring and allocating resources within a project
There are great benefits on offer with this role including a competitive salary, pension, holidays and more.
Please do not hesitate to contact Harvey Uppal at firstname.lastname@example.org or call (+44) 121 616 3407 to discuss this opportunity further.
Keywords: Principal, Bioinformatician, Genomics, Cancer, Analysis, NGS, Human, Software, Testing, Pipeline, Biology, Analysis, Python, Statistics, Algorithms, Validation, SOP, WGS, WES, London.
Job Reference: PBFL1_1578670612
Broadcast As: 18372
Salary To: Negotiable
Job Type: Full Time
Job Term: Permanent
Recruitment Consultant: Harvey Uppal