Senior Scientist II- Single cell and spatial transcriptomics
Relation Therapeutics overview
Relation Therapeutics' goal is to transform how drug discovery & development are conducted, leading to new medicines for diseases where there is a high unmet need.
Relation was founded to bring the power of recommender systems machine learning to the fundamental problem of target and drug discovery. These methods are highly de-risked, given their established performance in analogous settings. A key blocker to successful application of these methods thus far has been a lack of high-quality data, especially data describing causal relationships.
We are generating proprietary high-quality data which fills in the gaps, so that these powerful models can be deployed at last. Our platform leverages human genetics, single-cell omics and perturbational data to understand biology where the relationship between gene and disease is complex and cannot be explained by genetics alone. At every step of the discovery process, we generate data - high-confidence maps of causal relationships that drive disease - and use machine learning to comprehend the vast volume of data.
Relation has an excellent opportunity for a talented Senior scientist to join an interdisciplinary, highly collaborative team of experimental and computational drug discovery researchers in our newly built state-of-the-art functional genomics lab in London.
Large-scale genetic studies, including genome-wide association studies (GWAS), have discovered thousands of variants and loci associated with complex diseases, yet it is difficult to draw disease insight as the vast majority of loci lie in non-coding regions of the genome and have unknown function. At RelationRX, we are generating proprietary large-scale datasets to accelerate the prediction of disease genes from these loci using state-of-the-art machine learning methods. We will identify the key effector genes, cells and pathways involved in the pathophysiology of disease and proceed to predict disease targets for experimental validation.
Aside from contributing to the design and execution of single cell profiling and spatial transcriptomics experiments, the post-holder is expected to contribute to the biological interpretation of data and to stay abreast of new technologies and methodologies.
By joining Relation, you will be part of an exceptionally talented team, learn a broad range of skills within and outside your area of expertise, help us shape our culture and strategic direction and ultimately, make a positive impact in patients lives. As the company is growing rapidly, there may be opportunities to manage a team.
Professionally, you have:
A PhD in biological sciences with an outstanding track record in academia, biotech or pharma.
At least two years of research experience in isolating single cells from tissues for single cell profiling.
At least three years of research experience in applying spatial transcriptomics approaches to tissues. including Visium for fresh tissue and for FFPE (10X Genomics).
Expertise in preparation of 10X Genomics Illumina sequencing libraries and Illumina sequencing.
A proven ability to deliver to tight timelines.
Personally, you have:
A vision and passion for applying new single cell technologies to the problem of identifying disease genes and drug targets for diseases with unmet need.
Independence and motivation, a self-starter and problem-solver.
An ability to build effective working relationships with proven team-working skills.
An ability to communicate effectively with scientists from multiple disciplines, including computational scientists.
Excellent attention to detail.
An inquisitive nature.
Desire to work within a data science-first environment.
A willingness to operate within start-up environments.
To apply for this position please email enquiry@relationrx.com with a cover note and CV.
Relation Therapeutics is a committed equal opportunities employer.
Application deadline: 28th April 2022
Applications will be reviewed on an ongoing basis and the role may close early if a successful appointment is made.
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