Senior Scientist, Computational Biology (Human Genetics)Seattle, Washington / Remote Computational Biology, Bioinformatics, Drug Discovery, Drug Development, Biotechnology, Human Genetics, Genomics, GWAS, NGS Data Analysis, Public Health, Population Genetics
We are proud to partner with a biotechnology company based in Seattle, Washington, who believe human genetics has the power to transform drug development and discover new therapeutics. They are working towards developing therapies to improve global health by studying the genes of people who are outliers for medically relevant traits. This has been made simpler through the development of genomics and phenotyping platforms to reduce the cost of genomic studies and identify genetically validated targets for therapeutic development. Currently this is being applied to studies in neurodegenerative disease, inflammation, kidney disease and liver disease, with the scope to branch out into other disease areas in the future.
Our client secured substantial Series B funding in late 2021 and are looking forward to a rapid-growth phase with impressive plans for the next 12 months and beyond. This opportunity will suit anybody looking to be a key member of a fast-growing team looking to make waves within the industry.
We are recruiting a Senior Scientist, Computational Biology to join their growing discovery team in early 2022. The role is open to a hybrid working model, but there will be some travel required to the site in Seattle, Washington.Key Responsibilities
- Employ and develop computational methods to link disease-causing genetic variants to their relevant genes, cell types, molecular pathways and disease phenotypes.
- Analyze internal and external RNA-seq, single cell RNA-seq, and other omics datasets to evaluate expression of relevant genes and pathways.
- Participate in the design and interpretation of preclinical functional genomics experiments aimed at understanding the role of genetic variation to disease and how to exploit those understandings to develop therapeutic opportunities.
- Suggest opportunities for disease pathway modulation and identify appropriate repurposing opportunities if they exist.
- Contribute to deep dives into the primary disease areas and GWAS-identified targets to help build and support a competitive R&D pipeline.
- Collect and organize pathway, GWAS and functional genomics datasets and perform additional analyses where needed.
- Recommend new or additional computational biology capabilities as needed.
- Work together with internal computational geneticists to advance genetic findings.
- Effectively communicate scientific results to internal and external audiences, and advise on computational and data science best practices when necessary.
- Contribute to scientific publications.
- A PhD or Masters degree in bioinformatics, computational biology or a similar discipline
- Experience with primary and secondary analyses of preclinical biological experimentation, including -omics and/or imaging data sets.
- Familiarity with the process by which therapeutics and/or diagnostics are discovered and developed.
- Familiarity with publicly available databases and user interfaces for the investigation of genetics, biology and human disease data.
- Strong people skills with an ability and willingness to work on a multidisciplinary R&D team.
- Independent, creative, detail-orientated, and a critical thinker.
- Disease area, public health, genetics or human adaptation expertise is an advantage.
- Compelled by the company's mission of great science, a strong ethical stance, and benefit sharing.
Computational Biology, Bioinformatics, Drug Discovery, Drug Development, Biotechnology, Human Genetics, Genomics, GWAS, NGS Data Analysis, Public Health, Population Genetics
If you would be interested in discussing this opportunity further, please don't hesitate to reach out to us to request a conversation. You can contact Ali at +1 (0) 617 9821 700 / firstname.lastname@example.org. We look forward to hearing from you!