OutSee is a techbio startup that is defining the state of the art in genomic drug target discovery. Where current methods search for correlation between genetics and disease, our AI platform Nomaly searches for the causal biological mechanisms driving the disease.

So far, the techbio industry has its tunnel vision focused on the creation of binders. By applying our technology to target identification, we are transforming a fundamental but overlooked pillar of drug development.

We are recruiting a biologist who is proactive and relentlessly curious to evaluate, investigate and triage the novel drug targets discovered by Nomaly, our proprietary computational genomics platform (Lu et al. Nature comms 2023).

• High-impact role in a funded, cutting-edge TechBio startup with strong growth potential.
• Opportunity to discover, investigate, and shape a pipeline of novel drug targets across multiple disease areas.
• Work with novel AI-driven computational approaches for drug target discovery and precision medicine.
• Collaborate with top-tier scientists and engineers pushing the boundaries of genomic analysis.
• Competitive benefits, share options, and a dynamic startup environment.

Please apply with both a CV and covering letter, as described in the Application guidelines below.

Role Overview

As a Target Discovery Scientist / Research Biologist, you will play a vital part in our target generation and biomarker discovery efforts. You will contribute scientific analysis for the preclinical assessment of potential candidates generated from Nomaly, our differentiated platform technology. You will use your expertise in molecular biology and genetics to prioritise novel drug targets, linking them via function to disease biology, and in some cases profiling target safety and progressability.

Key Responsibilities

• Evaluating functional and molecular mechanisms for a genetic influence on a disease
• Finding and analysing databases, resources and literature to build the case for your hypotheses
• Weighing multiple sources of evidence, triaging and prioritising leads, and independently investigating to build a story around a biomedical hypothesis
• Depending on your experience, reviewing and analysing a range of evidence such as tissue/cell expression data, independent genetic evidence, interaction data, protein structure and sequence analysis, clinical data, published disease model, animal or organoid results, ontologies, etc.

Qualifications

You will have a strong background as a Biologist or Bioinformatician, most likely with a proven track record of publishing high-impact biological papers, and most of the following qualifications:

• PhD in Genomics, Molecular or Cell biology, Bioinformatics, or a related field
• Strong knowledge of molecular biology, an understanding of genetics, and ideally experience interpreting disease mechanisms
• Experience as a Research Scientist with a proven track record of publishing high-impact scientific papers in biology, or in delivering and completing projects or objectives using analytical and problem-solving skills
• An understanding of the statistics and the principles behind human genomics is preferred, and/or (optionally) experience in genomics research e.g. working with VCF files, UKBiobank, 1000 genomes or other genetic cohorts
• (optionally) Programming skills, particularly in languages such as Python or R
• A desire to learn and embrace new approaches
• Good communication and teamwork skills