InstaDeep
InstaDeep

Applied Research Scientist, RNA Science

Permanent contract
London
Salary: £72.5K to 100K
A few days at home
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InstaDeep
InstaDeep

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Questions and answers about the job

The position

Job description

InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Lagos, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry.

Join us to be a part of the AI revolution!

In the BioAI department, we advance the boundaries of healthcare and medical science through a combination of biology and artificial intelligence expertise. Notably, we are developing the next-generation vaccines and biopharmaceuticals for cancer treatment and prevention and therapy of infectious diseases. By joining us, you will contribute to this effort in collaboration with scientists, engineers and biologists from both InstaDeep and BioNTech.

In this position, you will be working closely with our team of researchers and engineers to help design the next generation of pharmaceutics based on mRNA technology. The output of this work will help medical practitioners and scientists advance our understanding of general and personalized treatments that improve clinical outcomes and profoundly impact peoples’ lives.

Responsibilities

  • Plan, design and develop the lab work strategy with particular emphasis on experimental approaches pursued. Provide advice on best practises as well as procedural details in relation to generation of laboratory data for performance testing and evaluation.
  • Serve as internal and external point of contact for communication in matters relating to wet lab experiments and work.
  • Develop computational biology software and provide technical guidance for the same. Conduct rigorous data analysis and statistical modeling of experimental data to interpret results, and help improve computational and experimental workflows.
  • Report results clearly and efficiently, internally and externally, verbally and in writing.
  • Write high-quality, maintainable, and modular code with precise documentation.

    • Requirements

  • Master's, PhD degree or equivalent experience in computational/systems biology, bioinformatics, or related quantitatively focused field.
  • Previous experience in wet and dry lab experiment design, demonstrated via previous work and/or research publications.
  • Experience working with fundamental methods from molecular biology and biochemistry. Extended experience with -omics methods and experimental methods for DNA/RNA and protein data.
  • Strong software engineering experience using Python. Experience using Linux and Git.
  • Data science experience including data visualisations, clustering, statistical testing and regression/classification methods.
  • Awareness of and interest in machine learning and deep learning.
  • Excellent communication skills in English, and work permit for the considered location.

    • Desirable

  • Previous experience working with DNA or RNA systems is highly desirable.
  • Hands-on experience with high-throughput data generation methods, e.g. NGS, Massive Parallel Reporter assays, FACS, Single-cell sequencing, or microarray technologies, preferably with a focus on RNA systems.
  • Proven track-record of research publications in respectable journals.
  • Experience with DevOps & CI/CD, and/or MLOps.
  • Specialist computing knowledge, such as database management, high-performance computing, or deployment.
  • Experience with and desire to mentor colleagues.
  • Experience bringing computational biology and machine learning research to production.

    • Our commitment to our people

    We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we’re proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds.

    Right to work: Please note that you will require the legal right to work in the location you are applying for.

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