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Principal/Senior Statistical Geneticist

COMPENSATION: Competitive with share options available

LOCATION: Schrodinger Building, Oxford Science Park, Oxford

NUCLEOME THERAPEUTICS, a fast-emerging biopharma that is building a passionate, creative, and dedicated multi-disciplinary team of scientists with expertise in gene regulation, genomics, machine learning, drug discovery, data analysis and software development, whose mission is to decode and mine the regulatory “dark matter” of the human genome to transform drug target discovery and deliver first–in–class precision medicine for autoimmune diseases. We are building a rewarding and fun environment where people embrace creative ways of thinking, take smart risks, and feel empowered to make a difference.

The Role

We are growing our Computational Biology Team by looking for a (Principal/Senior) Statistical Geneticist who is self-starter, proactive and who would thrive in the dynamic environment of a fast-emerging biopharma company. You will also have an integral role in the venture and take ownership of the work.

You will use your statistical genetics skills to mine, analyse, and summarise data from genome-wide association studies (GWAS) for the disease areas of interest. You will actively explore emerging GWAS datasets, assess their quality and usability, integrate their results with older relevant datasets, and facilitate their conclusions to serve our target discovery projects. You will tightly collaborate with genomics scientists, drug discovery experts, and bioinformaticians to identify causal variants, with the focus on those in the non-coding genome, from a genetic and statistical points of view; this will be based on public data (e.g. GWAS) combined with in-house generated multi-omic datasets. Together, we will decode the sequences in our genomes that underlie human disease and guide therapeutic development. You will be a team player, and thus you will follow the best practices in analysis ensuring reusability and reproducibility.

What we are looking for

Key skills & experience
  • Any of:
    • PhD in statistical genetics, statistics, mathematics, genomics, bioinformatics, or a related discipline;
    • Candidates with demonstrable extensive experience in the field of statistical genetics.
  • Strong knowledge of statistical genetics
  • Demonstratable experience working with GWAS data
  • Solid understanding of statistics, including causality principles, Bayesian statistics, and instrumental variable methods (e.g. Mendelian randomisation)
  • Strong knowledge of genomics including the concepts of linkage disequilibrium, polygenic scores, and population genetics
  • Sufficient programming skills
  • Strong organisational skills to track data and record downstream analysis
  • Strong reporting skills to summarise and share results and findings with stakeholders from different disciplines with the fit-for-purpose level of conciseness, thoroughness, and depth
  • Substantial scientific rigour
  • Ability to work independently and as a member of a multidisciplinary team
  • Strong communication skills and ability to communicate complex ideas to technical and non-technical audiences
  • Flexible and co-operative approach to colleagues
  • Strong organisational and time management skills; as well as the ability to prioritise and balance competing demands
  • A positive “can-do” and result oriented attitude, with openness to new ideas and the ability to work flexibly in a highly dynamic environment

Preferred skills & experience

  • Experience working with data and other quantitative genetics
  • Advanced programming skills, especially in Python, with experience in version control using git, and comfort in using Linux
  • Knowledge of and experience with bioinformatics method development and/or application
  • Knowledge of and experience with using cloud computing resources, such as Amazon Web Services (AWS)
  • Knowledge and/or strong interest in transcriptional regulation
  • Knowledge and/or strong interest in drug and drug target discovery
  • Experience in the pharmaceutical and/or biotech industry
To apply please send us your CV at [email protected]. If you know someone who could be a good fit, please share this posting with them.
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If you know someone who could be a good fit, please share this posting with them.

At Nucleome Therapeutics equality, diversity and inclusion is really important to us. We welcome applications from all candidates irrespective of age, disability, gender, gender identity, sexual orientation, race, religion or belief, or marital or civil partnership status.