CV. Stephen J Newhouse

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Headline

Dr Stephen J Newhouse, PhD. Head of Professional Services & Senior Bioinformatician at Biorelate Ltd.

20+ years across academia, NHS, and industry: bioinformatics, ML, target, drug, and biomarker discovery, knowledge graphs, agentic AI.

📍 Manchester, England, UK. Open to hybrid / remote.

LinkedIn · GitHub · ORCID · Google Scholar · KCL Pure

Top skills

Top 3 (LinkedIn): Agile Methodologies · Data Management · Natural Language Processing (NLP).

  • Languages: Python, R, Bash, SQL.
  • ML / data: scikit-learn, PyCaret, Prophet, MLflow, pandas, NumPy, Streamlit, classical stats, time-series, biostats.
  • NLP & knowledge graphs: biomedical text mining, entity and relation extraction, graph-based reasoning.
  • LLM / agentic AI: RAG, agent memory, tool-use, evaluation, MCP, Anthropic / OpenAI / HuggingFace stacks.
  • Bioinformatics: NGS (DNA/RNA), variant calling, GWAS, RNA-seq, multi-omics, drug repurposing, Illumina arrays.
  • Pipelines & infra: Snakemake, Nextflow, Docker, Conda; Git/GitHub; CI/CD.
  • Cloud: AWS, GCP.
  • Leadership: team building, client engagement, training, consulting, cross-functional delivery, Agile.

Languages

  • English. Native or bilingual.

Experience

Head of Professional Services & Senior Bioinformatician · Biorelate Ltd.

June 2021 – present · United Kingdom (Manchester)

  • Built and lead the Professional Services team at Biorelate. I set the strategy, hire the team, and own client outcomes.
  • Run client onboarding, training, and product trials. Make sure people actually use what we ship and get real value out of it.
  • Lead bespoke consultancy engagements, applying Biorelate’s NLP, knowledge graph, and biomedical AI stack to whatever the client’s actual problem is.
  • Help close deals. I work alongside Sales and Business Development on technical scoping, demos, and discovery.
  • Sit between Product and clients. The PS team is one of Product’s loudest internal voices on what’s working and what isn’t.

Selected client and product work

  • Lead engineer on Biorelate’s Professional Services internal biomedical AI agent tooling: agent orchestration, memory, evaluation, and biomedical tool-use over a curated knowledge graph. Built first for the PS team to deliver client work faster and more reproducibly, with full provenance and programmatic citation. Now integrated into large-pharma clients’ own internal LLM and tech stacks, so they get agentic biomedical reasoning natively where their data already lives.
  • Led delivery of a target safety assessment app for a life-sciences pharma client. Knowledge-graph and LLM-driven evidence retrieval, programmatic citation, regulator-ready outputs.
  • Designed and ran a Langdock integration evaluation for Biorelate: scoping, validation, and integration patterns for using Langdock as a managed-AI platform alongside our own stack.

Selected achievements

  • Built the Professional Services function from zero. Consistent client satisfaction and renewals to date.
  • Helped secure £400K+ in new client contracts through technical scoping, demos, and discovery alongside Sales and Business Development.
  • Contributed to over £1M in annual sales.
  • Built strong working relationships across Sales, Business Development, Marketing, Product, and Data Science.

Data Scientist · Grid Edge

January 2021 – June 2021 · United Kingdom

  • Worked with the data-science team on ML products. Delivered on time, on budget, on spec.
  • Built ML models for multivariate time-series forecasting that worked when clients only had a small amount of data to train on.
  • Key achievement: built an EDA and ML web application in Streamlit (pandas, NumPy, scikit-learn, PyCaret, Prophet, MLflow, Docker) so the team could explore, clean, and track time-series experiments without leaving the browser.

Chief Technology Officer (interim, head-hunted) · Mindwave Ventures (later rebranded as Claryon Systems after my tenure)

August 2019 – February 2020 · London, UK · UK & India

Head-hunted by the CEO to take a CTO-level role spanning Mindwave’s UK and India engineering teams. NHS-focused digital-health delivery.

  • Ran and mentored a development team in India. Set engineering standards, established code-review practice, and a regular working rhythm with the UK product and delivery side.
  • Worked with NHS stakeholders and the UK team to turn clinical and operational requirements into architectures, backlogs, and implementation plans the engineering team could ship against.
  • Led containerisation and Docker security for NHS-facing platforms: secure network design, container hardening, and deployment pipelines fit for UK healthcare security expectations.
  • Tightened communication between UK client-facing colleagues and the engineering team in India. Less requirements ambiguity, faster delivery on NHS and related digital-health work.

King’s College London · (8 years total, 2011 – 2019)

Bioinformatics Module Lead, Genomic Medicine MSc

November 2015 – August 2019 · KCL & SGUL

Designed and ran the bioinformatics week for the MSc in Genomic Medicine: lectures and hands-on practicals tied to the 100,000 Genomes Project. Course material: snewhouse/Genomic-Medicine-MSc-Bioinformatics.

Data Science Group Lead, Department of Biostatistics & Health Informatics

November 2015 – August 2019 · London, UK

  • Led a sub-team working on genomic and transcriptomic data for neurodegenerative and psychiatric disorders.
  • Built bioinformatics pipelines for genomic and transcriptomic analysis, including drug-repurposing pipelines using public and private datasets.
  • Ran a small Core Bioinformatics service that took Illumina SNP and expression-array data from raw output to analysis-ready.
  • Sat on the Bioinformatics and IT Committee for the South London Genomic Medicine Centre.
  • Consulted on NGS pipelines for local NHS Genetics Labs and research groups.
  • Consulted across the department on biostatistics, statistical genetics, ML, predictive modelling, and EDA.
  • Co-supervised PhD students (academic and pastoral support).
  • Taught BSc, MSc, PhD, NHS, and working-professional cohorts.

Senior Bioinformatician, NIHR BRC for Mental Health, Institute of Psychiatry

September 2011 – August 2019 · London, UK

The umbrella post for the KCL years above. Bioinformatics support and methods development for psychiatric and neurodegenerative research across the BRC, including the SGDP affiliation below.

Associate Member, MRC SGDP, Institute of Psychiatry, Psychology & Neuroscience

March 2015 – August 2019 · London, UK

Past roles

A compact timeline of earlier and shorter posts. Happy to talk about any of these in more detail on request.

  • 2017–2019. Honorary Senior Lecturer, UCL (London, UK). Concurrent with the KCL Data Science Group Lead role.
  • 2010–2011. Postdoctoral Researcher, Institute of Psychiatry, KCL (London, UK).
  • 2009–2010. Postdoctoral Research Fellow, University of Cambridge (Cambridge, UK).
  • 2006–2009. Postdoctoral Research Fellow, Queen Mary University of London (London, UK).

Education

  • PhD, Genetics. Queen Mary University of London (2001 – 2006).
  • MSc, Forensic Science and Technology. King’s College London (1999 – 2000).
  • BSc (Hons), Molecular Biology. University of Liverpool (1996 – 1999).

Certifications & training

  • Mental Health First Aid Champion. MHFA England (2020).
  • GDPR Foundations.
  • Intro to Python for Data Science.
  • Introduction to R.
  • Data Exploration with Kaggle Scripts.
  • Kaggle Python Tutorial on Machine Learning.

Selected publications

Full list: Google Scholar · tinyurl.com/mujf69xs · Impactstory · KCL Pure · ORCID.

Citation metrics are best read live from Scholar or Scopus. They don’t belong hard-coded on a static page.

Talks & teaching

Open source

References

Available on request.