Biologist Work, Jobs in London, Eng (with Salaries)

Cheminformatics Data Scientist
Novogaia —London
- Full-time
- Doctoral degree
- Scripting
- AI
Quick apply
2d
Community Manager
Substrate Bio —London
- Full-time
- Hybrid work
- Bachelor's degree
- Communication skills
- Annual leave
Quick apply
Senior Research Engineer, ML Systems
Basecamp Research —London
- Full-time
- Doctoral degree
- Computer Science
- Research
- Life insurance
Quick apply
Business Development Associate
Shellworks —London
- Business development
10d
Business and Science Graduate Scheme
Rentokil Initial Group —London Borough of Wandsworth
- £27,788 - £32,566 a year
- Overtime
- No experience needed
- Bachelor's degree
- Business
- Annual leave
- Employee assistance programme
Quick apply
13d
Business and Science Graduate Scheme
Rentokil Initial Group —Islington
- £27,788 a year
- Overtime
- No experience needed
- Bachelor's degree
- Business
- Annual leave
- Employee assistance programme
Quick apply
3d
Business and Science Graduate Scheme - Footrole
Rentokil Initial Group —Mayfair
- £27,788 - £35,000 a year
- Overtime
- No experience needed
- Bachelor's degree
- Travel
- Annual leave
- Employee assistance programme
Quick apply
3d
Business and Science Graduate Scheme
Rentokil Initial Group —Hackney
- £27,788 a year
- Overtime
- No experience needed
- Bachelor's degree
- Business
- Annual leave
- Employee assistance programme
Quick apply
3d
ML Research Engineer, Evaluation
Novogaia —London
- Full-time
- Machine learning
- Communication skills
- Analytics
Quick apply
2d
Business and Science Graduate Scheme
Rentokil Initial Group —Southall
- £27,788 a year
- Overtime
- No experience needed
- Bachelor's degree
- Business
- Annual leave
- Employee assistance programme
Quick apply
4d
Business and Science Graduate Scheme
Rentokil Initial Group —Watford
- £27,788 a year
- Overtime
- No experience needed
- Bachelor's degree
- Business
- Annual leave
- Employee assistance programme
Quick apply
13d
Scientist II/Senior Scientist, Computational Chemistry, Drug Discovery
Lila Sciences —London
- £140,800 - £217,800 a year
- Doctoral degree
- AI
Quick apply
6d

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Cheminformatics Data Scientist

Novogaia
London

Quick apply

Job details

Full-time
2 days ago

Qualifications

Data modelling
Doctoral degree
Data quality analysis
Relational databases
Data and database experience
Machine learning modelling
Natural language processing
Scripting
Data pipeline
Data science
AI
Analytics

Full job description

Overview

Novogaia is an applied AI drug discovery company. We build machine learning systems that decode the chemistry of natural organisms, starting with fungi, to find the next generation of medicines.

We are a small team of AI engineers, computational biologists and chemists building foundation models for molecular structure prediction from mass spectrometry data. We are seeking a computational data scientist who can define what a trustworthy spectral dataset looks like, and build the schema, QC gates, and annotation process that gets us there. This is a data and cheminformatics role, not a wet-lab role: though you'll work closely with analytical chemistry collaborators who run the instruments.

The Role

Developing a deep understanding of Novogaia's compound library, spectral data, and how both feed into our models
Working closely with our machine learning team to assess model training/validation leakage, de-duplicate against public datasets, and help select representative subsets for benchmarking
Working with analytical chemist collaborators to route ambiguous or high-value spectra for expert review, so results can be compared systematically against model predictions
Building and evaluating predictive models to infer molecular properties from molecular structure
Validating processing workflows for raw spectra arriving from analytical partners, including validating metadata, batch tracking, versioned releases, maintaining provenance, and licensing tags at the record level

In your first year, you'll build the data foundation everything else depends on: a documented schema, a QC process, and a dataset our modeling and evaluation teams can trust.

What We Require

Background in analytical mass spectrometry or cheminformatics (PhD or equivalent industry experience), ideally with exposure to natural products or small-molecule drug discovery
Deep familiarity with structural representation methods such as SMILES, SMARTS, SAFE, as well molecular fingerprinting and structural embedding
Familiarity with statistics and ML concepts, for close collaboration with the rest of the team
Hands-on experience working with LC-MS/MS data and standard formats and open-source tools (e.g. mzML, MSConvert) and spectral databases (e.g. GNPS, MassBank, MoNA)
Scripting ability in Python for developing algorithms and Nextflow/Snakemake for building pipelines
Familiarity with utilizing relational database schemas and ontologies to host and structure the variety of datatypes and datasets you will encounter

What We Value

Ability to intuitively interpret and assess mass spectrometry data and corroborate automated QC checks
Strong scientific judgment and a willingness to flag data that isn't ready, even under deadline pressure
Ability to turn "make this dataset AI-ready" into a concrete schema, checklist, and pipeline
Motivation to build data infrastructure other people will confidently rely on
Experience with natural product dereplication and compound classification
Curiosity, low ego, and a willingness to get close to the modeling and evaluation side of the work, even if it's outside your original training

Quick apply

Refine Your Search

biologist jobs in london, eng

Cheminformatics Data Scientist

Community Manager

Senior Research Engineer, ML Systems

Business Development Associate

Business and Science Graduate Scheme

Business and Science Graduate Scheme

Business and Science Graduate Scheme - Footrole

Business and Science Graduate Scheme

ML Research Engineer, Evaluation

Business and Science Graduate Scheme

Business and Science Graduate Scheme

Scientist II/Senior Scientist, Computational Chemistry, Drug Discovery

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