Principal Scientist, Applied AI

1 week ago


London, United Kingdom e-therapeutics plc Full time

Job Description

Principal Scientist, Applied AI

Our Destination

"Computing the future of medicine"

We are integrating the latest advances in computing and artificial intelligence to develop life-transforming RNA interference (RNAi) medicines. We combine cutting-edge computation and AI with RNAi to make better medicines faster. Our unique approach enables us to differentiate, de-risk, and rapidly deploy our enabling platforms (HepNet and GalOmic) and therapies, improving upon traditional approaches to drug discovery.

Our rapid and reproducible process has produced a broad therapeutic pipeline of multiple GalOmic RNAi therapies targeting novel genes that have demonstrated disease-modifying potential in preclinical disease models. We are advancing our pipeline towards the clinic, with our most advanced asset (ETX-312, for the treatment of MASH) currently undergoing IND-enabling studies, the final stage of preclinical development.

It is an incredibly exciting time for ETX, as we get closer to delivering on our mission of delivering life-transforming medicines to patients and ultimately realizing the full potential of our AI-enhanced approach to drug discovery.

Your Adventure

This position presents an exciting opportunity to innovate with machine learning and AI tools to help drive the development of more medicines to treat more patients.

We are looking for an accomplished AI engineer to make this vision happen. You will have a passion for solving challenging problems using machine learning and AI from innovative research all the way through to production. This is a hands-on coding role that would suit an engineer that is familiar with shipping good quality pythonic algorithms but has an insatiable desire to learn more and loves working in high performing teams.

Reporting into the Director, Applied AI you will help to upskill the team in building modern machine learning applications. You'll be right at the cutting edge, owning and designing state-of-the-art machine learning methods that will disrupt the pharmaceutical industry.

What you will do

  • Lead the development and implementation of advanced AI algorithms, with a focus on modern AI/ML techniques and Large Language Models, to enhance the Company's initiatives in Drug Discovery, siRNA Drug Design, Intellectual Property (IP) management, and Competitive Intelligence across all domains.
  • Translate complex business requirements into a well-defined machine learning or AI problem by acting independently while collaborating with the wider team, as needed.
  • Identify opportunities to build machine learning models, be a standard bearer for good coding practices and promote proper testing frameworks to ensure high quality outputs.
  • Collaborate with bioinformaticians, computational and discovery biologists, oligonucleotide chemists and business analysts in their exploration of structured and unstructured data using and developing AI/ML tools.
  • Commit to shipping high quality code - early and often whilst constructing appropriate metrics to ensure your code is fit for purpose.
  • Learn, and be curious about, all aspects of the drug discovery process and how you can enable a rapid and efficient execution of projects.
Skills & qualifications

  • MSc or PhD in AI/Machine Learning or Computer Science.
  • Solid programming and software development skills in Python is essential. You should be as comfortable with modern AI/ML techniques as with software engineering practices, version control and developing scalable applications that generalise well.
  • Demonstrable experience in dealing with multiple large-scale disparate scientific data sets across many modalities understanding their application and limitations via deep learning, NLP, computer vision and LLMs.
  • Knowledge and experience of the tools, techniques, and processes of modern software development, e.g. version control, CI/CD, DevOps, and DataOps.
  • Excellent communication skills and ability to collaborate effectively with cross-functional teams.
  • Experience of cloud computing environments with a preference for AWS - containerisation (Docker), AWS services for front end development (S3, EC2, ECS, lambda, VPC, API gateway, key-value stores).
If you have the following characteristics, it would be a plus:

  • Post-doctoral or similar industry experience in AI/Machine Learning, Textual Analysis/Natural Language Processing and Transformer technology/Large Language Models.
  • Experience applying modern ML methods to problems in biology or life sciences.
  • Experience in Network Science and modern statistical methods, calculus, linear algebra, probability theory and statistical analysis.
  • Team management/Technical coaching and mentoring experience.
Our culture & values

Our success starts & ends with our team - the passionate, curious and collaborative individuals who work here. All are committed to pushing technology to the limit to make a difference to patients, to R&D and to each other - we call this our PACT.

We're not looking for people who are exactly like us. We're looking for people who care about and value the same guiding principles while bringing different ideas, perspectives & opinions.

Our benefits

We invest in your success
  • Competitive salary
  • Discretionary performance related bonus
  • PACT awards (monthly recognition scheme)
We care about you
  • Private medical cover with Bupa
  • Medicash Health Cash Plan
  • Employee Assistance Programme
  • Reward Gateway (deals & discounts and wellbeing centre)
  • Annual season ticket loan
We help you protect your future
  • 10% employer pension contribution (you can also make your own contributions via salary sacrifice)
  • Life insurance (4 x annual salary)
We unlock your potential
  • Personal development time
  • Departmental learning and development budget (including attending external training, conferences, etc.)
We make it fun
  • Social and well-being events throughout the year such as a newly created ETX Summer dodgeball team, bouldering, pizza making sessions and we even have a basketball court on our roof terrace
  • 25 days of annual leave + public holidays
EDI Statement

Our ambition is to have a positive impact on society at a global level by discovering and developing novel therapeutic targets in areas of high unmet need. We believe that providing equal opportunities, valuing diversity, and promoting a culture of openness and inclusivity are vital in the journey to realise our ambition. We therefore aim to create an environment where people are free to be themselves regardless of their identity or background.#J-18808-Ljbffr
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