Senior Scientific Data Scientist

Arctoris; England; On-site; GBP 50,000 - 75,000; Full time

Job summary

A technology-enabled drug discovery services company is seeking a Senior Scientific Data Scientist/Pipeline Engineer to design and maintain analytical pipelines for their data-driven drug discovery platform. The ideal candidate should possess strong Python skills, statistical modelling expertise, and experience with bioassay data, alongside solid software engineering principles. This role offers the opportunity to work in a multidisciplinary environment, contributing to life-changing medicines in the intersection of biology, robotics, and data science.

Benefits

Innovative work environment

Multidisciplinary team

Opportunities for learning and growth

Qualifications

• Strong experience analysing plate-based bioassay data (384- or 1536-well formats).
• Proficiency in Python for scientific computing including libraries such as NumPy, Pandas, and Matplotlib.
• Solid understanding of statistical modelling, curve fitting, and QC in experimental biology.
• Ability to work across multiple scientific domains and adapt to varied assay formats.

Responsibilities

• Build, maintain and extend Python-based analytical pipelines for diverse bioassay datasets.
• Implement robust statistical and modelling workflows including doseresponse modelling.
• Partner closely with wet-lab scientists to understand assay logic and experimental design.
• Design structured ETL processes for experimental data ingestion, curation, and transformation.

Skills

Python programming

Statistical modelling

Bioassay data analysis

Modular design

Clear communication

Problem-solving

Education

PhD in a relevant scientific field

Tools

AWS S3

PostgreSQL

Docker

Git

Job description

Company / Role Overview

Arctoris is seeking a Senior Scientific Data Scientist / Pipeline Engineer to design implement and maintain the analytical pipelines that power our data-driven drug discovery platform.

This role is ideal for a scientist-turned-coder or data scientist with strong Python skills, statistical modelling expertise and experience with bioassay data - paired with solid software engineering discipline.

If you thrive at the intersection of biology data and scientific automation enjoy partnering with wet-lab teams and want to build robust tools that accelerate therapeutic discovery this is the ideal opportunity.

Responsibilities

• Scientific Analysis & Pipeline Development
• Build, maintain and extend Python-based analytical pipelines for diverse bioassay datasets (biochemical, biophysics and cell-based assays).
• Implement robust statistical and modelling workflows including:
• doseresponse modelling and curve fitting (e.g. 4PL mechanistic models)
• QC and normalisation frameworks
• plate-level statistics and data validation
• Translate scientist workflows into reproducible automated analysis pipelines.

Data Engineering & Workflow Structuring

• Design structured ETL / ELT processes for experimental data ingestion, curation and transformation.
• Develop clean maintainable well-tested Python codebases using solid software engineering principles.
• Use lightweight workflow tools (e.g. Snakemake, Luigi or similar) to organise multi-step scientific analyses.

Scientific Collaboration & Communication

• Partner closely with wet-lab scientists to understand assay logic and experimental design
• Identify improvements to data structures and analysis readiness
• Streamline file preparation and data handover
• Provide input on experimental interpretation where it helps clarify analytical or QC decisions.

Infrastructure & Tooling (Nice-to-Have)

• Support backend integration with cloud storage or databases (AWS S3, PostgreSQL etc.).
• Contribute to internal scientific tooling dashboards or lightweight GUIs (optional).
• Assist with continuing evolution of scientific data architecture.

Qualifications and Experience

Scientific & Analytical

• Strong experience analysing plate-based bioassay data (384- or 1536-well formats).
• Proficiency in Python for scientific computing including NumPy, Pandas, SciPy, curve fitting libraries such as lmfit and visualisation libraries such as Matplotlib / Seaborn. Experience with scikit-learn for exploratory analysis (e.g. PCA clustering) data validation tools (e.g. Pandera) and scientific libraries such as Biopython or RDKit is highly beneficial.
• Solid understanding of statistical modelling, curve fitting and QC in experimental biology.
• Ability to work across multiple scientific domains and adapt to varied assay formats.

Software Engineering

• Proficient in modular design and code organisation
• Testing (PyTest / Unittest)
• Version control (Git)
• Clear documentation and reproducibility
• Experience developing end-to-end data or analysis pipelines.

Collaboration & Communication

• Able to work fluidly across scientific teams and translate scientific needs into computational workflows.
• Clear and structured communicator; capable of articulating analytical choices and modelling approaches.
• Strong problem-solving mindset.

Desirable Skills

• Experience with lightweight workflow managers (e.g. Snakemake, Luigi).
• Familiarity with AWS or cloud storage systems.
• Database experience (PostgreSQL / MySQL) and data modelling.
• Background in biophysics, cell biology, enzymology or other relevant scientific domains.
• Exposure to containerisation (Docker) or CI / CD (GitHub Actions).
• Ability to develop simple user-facing interfaces (e.g. Streamlit).

About us

Arctoris is a technology-enabled drug discovery services company headquartered in Oxford. We combine automated wet lab experimentation proprietary analytical pipelines and deep scientific expertise to accelerate the design and optimisation of new therapeutics. Our proprietary Ulysses automation platform and data infrastructure enable the generation of reproducible high-quality datasets at scale forming the foundation for AI-driven discovery capabilities across oncology immunology and neurodegeneration.

We operate at the intersection of biology robotics and data science building systems that transform how scientists generate and interpret experimental data. Joining Arctoris means contributing to a multidisciplinary environment where innovation in data architecture analytical tooling and computational pipelines directly advances the creation of life-changing medicines.

Experience : Senior IC

Key Skills

Laboratory Experience, Mammalian Cell Culture, Biochemistry, Assays, Protein Purification, Research Experience, Next Generation Sequencing, Research & Development, cGMP, Cell Culture, Molecular Biology, Flow Cytometry

Employment Type : Full-Time

Experience : years

Vacancy : 1