ML/NLP Engineer - Anywhere

At Lifebit, we carve our own path. Trusted by Governments and world-leading pharma institutions and funded with a over $70m we are on a mission to harness the power of connected data and bring precision medicine to life globally. The key to saving human lives is providing researchers across the globe with the right data to develop more precise drugs faster.

Generating large amounts of biomedical data has become relatively straightforward. The challenge now is finding, accessing and analysing this sensitive data stored across thousands of disconnected locations. It is frustrating and painfully difficult for researchers. Lifebit has created a patented, federated technology that brings analysis and computation to where data resides. This enables researchers to run analyses on multiple, distributed datasets in-situ, avoiding the risky movement of highly-sensitive data.
Lifebit powers pioneers in national precision medicine such as Genomics England (UK Government) and guides them on how to make their valuable data usable securely. Biotech and pharma leaders like Boehringer Ingelheim turn to Lifebit to connect them to this otherwise locked up data to obtain novel therapeutic insights.

To empower researchers and companies even further, here at Lifebit we are harvesting real-world data to enrich data analysis and disease discovery. Our platform REAL, a large-scale NLP system, is capable of identifying disease outbreaks, drugs, and targets.
Our technology is unmatched and momentum is on our side - but we need an exceptionally strong team to help boost Lifebit to incredible new heights.

As an ML/NLP in our team, you will…

- Implement SOTA models for information extraction, text summarisation, and data analysis
- Work on different types of data, combining relevant information across multiple languages and sources
- Gather datasets using public APIs, distant supervision, and expert annotations
- Implement scalable production-ready NLP/ML models
- Engage with Lifebit clients during the sales and support process

Requirements

Please view these role requirements as just an indication of what we’re looking for - sometimes the perfect candidate is far more or less experienced than we anticipated. If you think that might be your case, please reach out and let us know!

Ideally, you should have 2+ years of hands-on experience with ML/NLP pipelines. Primary we are looking for the following skills:

- Experience with production quality code in Python
- Data Science/ML libraries - PyTorch/TensorFlow/Keras/Sklearn, Numpy, Pandas, Spacy, Gensim, Matplotlib, Plotly, etc.
- Experience with acquiring datasets using distant supervision and annotations - Inter annotator agreement, annotation guidelines and managing annotation tasks
- Knowledge of the latest research work in NLP, transfer learning, generative models, active learning, self-supervised and multitask learning, data analysis and predicitive modelling
- Experience in genetics/genomics and medical sciences is a plus but definitely not a must
- Proficient at summarising and visualising complex data and pattern finding
- Excellent communication skills and an ability to discuss and explain complex ideas
- Experience with MLOps is a plus

Additionally, we are looking for candidates who:

- Have strong communication skills, both oral and written, with attention to detail
- Can develop strong relationships with a range of stakeholders
- Are able to organise and structure biomedical information, and be outcome oriented
- Have contributed in open source projects
- Have an active ML/NLP related blog portfolio

Benefits

What we offer in return:

- Competitive salary
- Personal development budget
- State of the art hardware and software
- 25 days of annual leave plus the usual public holidays
- Conferences, events and training resources (Data science, AI, cloud, any tech stack, painting, origami, you pick!) - we offer £1,000 a year to each person for personal development)
- International and diverse team
- Flexible working during summer