Computational Geneticist
Description
ABOUT INSTADEEP
InstaDeep Ltd is a leading company that develops cutting-edge artificial intelligence products and solutions for major global and local clients in Europe, the US, Africa, and the Middle East. We focus on developing enterprise decision making systems that solve existing problems across a range of industries using advanced machine learning, reinforcement learning, and deep learning. Our expertise spans across research, product and solution development, allowing the whole end-to-end solution to be developed in-house across our teams in London, Paris, Lagos, Cape Town, Dubai, and Tunis.
Our proactive approach to research, combined with a broad spectrum of high-quality clients, ensures a challenging and exciting environment to work and thrive in. In our mission to stay ahead of the curve, we are proud to partner with firms such as Google DeepMind, Nvidia and Intel, world-class universities such as Oxford, Imperial College and French Universities, and immunotherapy powerhouse BioNTech.
At BioAI, we advance healthcare and push the boundaries of medical science through a combination of expertise in biology and machine learning.
JOB DESCRIPTION
InstaDeep is looking for a computational geneticist with expertise using multi-omics data, to join our expanding BioAI team in London, UK or Paris, France (all levels are encouraged to apply) to help develop and implement computational biology tools and software to support InstaDeep’s DeepChain platform as well as client projects in the domain of human genomics and disease risk prediction.
ROLE RESPONSIBILITIES/ACCOUNTABILITIES
- Deliver high-quality research and engineering in the domain of human genomics as part of multi-disciplinary collaborative teams.
- Develop pipelines to process, assess quality control and analyze omics data, including NGS, transcriptomic and epigenetic data.
- Design and execute statistical analyses to integrate genetics and omics data with machine learning algorithms.
- Use publicly available functional genomics resources to support internal research and development.
- Think outside-of-the-box and constantly question the status quo.
- Present research results on a regular basis, both internally and externally, and keep up with the scientific literature.
- Won’t do easy, approach new problems with enthusiasm, and be proud of your work.
REQUIREMENTS
- Ph.D. in statistical genetics, functional genomics, computational biology, or related field or masters degree with 3+ years of relevant work experience.
- Expert knowledge in genomics and experience with integrating public resources such as UCSC Genome Browser, Open Targets, GTEx, Roadmap, - ENCODE, Human Protein/Cell Atlas into ready-to-use workflows.
- Strong Python coding and bash shell scripting skills.
- Excellent written and verbal communication skills in English.
- Detective-level attention to detail and self-discipline that others would love.
NICE TO HAVE
- Experience with GWAS analyses, Polygenic Risk Scores, and variant prioritization.
- Familiarity with commonly used software packages for RNA-seq data processing and QTL mapping.
- Experience with machine learning and AI tools applied to biology research.
- Publication record in the field of genetics or functional genomics.
BENEFITS
- Competitive salary subject to seniority.
- Working in small, diverse teams where you can make an impact.
- Varied challenges across industries.
- Cooperation across European and African offices.
- Annual offsite events.
