Description
Are you motivated to participate in a dynamic, multi-tasking environment? Do you want to join a company that invests in its employees? Are you seeking a position where you can use your skills while continuing to be challenged and learn? Then we encourage you to dive deeper into this opportunity.
We offer wellness courses and have highly engaged employee resource groups. Come join the Neo team and be part of our amazing World Class Culture!
NeoGenomics is looking for a Senior Computational Scientist who wants to continue to learn in order to allow our company to grow. This is a remote position with a Monday - Friday day shift onsite in Cambridge, UK.
Now that you know what we're looking for in talent, let us tell you why you'd want to work at NeoGenomics: As an employer, we promise to provide you with a purpose driven mission in which you have the opportunity to save lives by improving patient care through the exceptional work you perform. Together, we will become the world's leading cancer reference laboratory.
Position Summary:
In this position, you will be placed in the bioinformatics pipelines team which oversees the development and maintenance of bioinformatics production pipelines for the company. You will work closely with research and clinical bioinformatics, software development, and system administration teams to develop new pipelines into robust and scalable production-ready products.
Responsibilities:
1. Develop new and scale existing algorithms and pipelines to production-ready, regulatory compliant cancer diagnostics products.
2. Interface between bioinformatics, software development, and system administration teams to prioritize and organize work.
3. Contribute to quality management of computational biology processes and development of systems that conform to regulatory standards.
4. Line manage bioinformatics pipeline developer(s).
Experience, Education and Qualifications:
1. A degree in bioinformatics or life science with a computer science component required.
2. Full working proficiency with next generation sequence data analysis programming in a life science environment using Python and R (essential).
3. Full working proficiency in Linux system administration (essential).
4. Full working proficiency with AWS products, including EC2, Batch, S3, EFS, EBS, CloudWatch, ECR (essential).
5. Experience with implementation and maintenance of NGS data analysis pipelines (essential).
6. Full working proficiency in relational databases, such as MySQL, PostgreSQL or Oracle (essential).
7. Full working proficiency in software versioning systems, e.g., git, svn (essential).
8. Proven track record working with HPC in the context of biomedical data analysis (essential).
9. Experience with Docker (essential).
10. Able to work both independently and as part of a team (essential).
11. Knowledge of cancer genomics (desired).
12. Experience with algorithm and systems design for parallel computing (desired).
13. Prior experience with work in a regulated environment, in particular for software and quality assurance, such as ISO 13485, EN 62304, ISO 15189, or other (desired).
All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.
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