Logo for Ascent

Senior Data Scientist (Biostatistics)

Role overview

Qualifications

  • Strong background in statistics, ideally with experience as a biostatistician
  • Advanced proficiency in R, including package development; solid experience with Git and CI/CD pipelines, automated testing, and documentation
  • Experience deploying models or analytical workflows into production environments on cloud platforms; familiarity with Databricks or similar cloud-based data platforms
  • Exposure to API development or integration (nice to have) and excellent written and verbal communication for stakeholder engagement

Responsibilities

  • Collaborate closely with biostatisticians and cross-functional teams to refine statistical modelling approaches
  • Design and develop robust R-based workflows and packages, implementing best practices for testing, documentation, and CI/CD
  • Support the deployment of models as scalable, production-ready software on cloud platforms while ensuring reproducibility and maintainability
  • Provide technical guidance and mentorship to improve modelling and engineering standards

About the company

Ascent logo

Ascent

RegTech (Regulatory & Compliance Technology)

Company details

Company typeSME
IndustryRegTech (Regulatory & Compliance Technology)

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

Please note that for this role, you must be based in the UK or Portugal.

About us     
Ascent has recently been acquired by Acuity Analytics.  This is both a significant milestone for us and a tremendous opportunity for you.  Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans.  We deliver deep insights and domain-led digital transformation to high-growth and heavily regulated organisations.  To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency. 


About the role

We are looking for a Senior Data Scientist (Biostatistics) to support our clients in advancing their statistical modelling capabilities.

In this role, you will work closely with client-side biostatisticians and cross-functional teams to refine modelling approaches, design robust and scalable R-based processes, and support the deployment of statistical models as production-grade software on cloud infrastructure.

This is a highly collaborative and consultative position where you’ll act as a technical expert and advisor—helping clients bridge statistical science with modern engineering best practices. You’ll ensure models are reproducible, maintainable, and production-ready, while enabling teams to adopt more efficient and scalable ways of working.

Skills and Experience required

Core skills:

  • Strong background in statistics, ideally with experience as a biostatistician
  • Advanced proficiency in R, including package development
  • Solid experience with version control (Git) and collaborative workflows
  • Experience with CI/CD pipelines, automated testing, and documentation practices
  • Strong understanding of reproducible research and robust statistical modelling practices

Technical and platform experience:

  • Experience designing scalable R-based processes for modelling workflows
  • Familiarity with deploying models or analytical workflows into production environments
  • Experience with Databricks or similar cloud-based data platforms
  • Exposure to API development or integration (nice to have)

Soft skills:

  • Excellent written and verbal communication skills
  • Ability to translate complex statistical concepts into clear, practical guidance
  • Strong stakeholder engagement and advisory mindset

What you will do
  • Collaborate closely with biostatisticians and cross-functional teams
  • Refine and enhance statistical modelling approaches and methodologies
  • Design and develop robust R-based workflows and packages
  • Implement best practices for testing, documentation, and CI/CD in statistical projects
  • Support the deployment of models as scalable, production-ready software on cloud platforms
  • Provide technical guidance and mentorship to improve modelling and engineering standards
  • Ensure reproducibility, maintainability, and performance of statistical solutions


Why join us 

People are at the Heart of our Business.  By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive.  Check out this page for more details.

If you have any questions contact our Talent Acquisition team on ta.admin@acuityanalytics.

For more details about life at Ascent, check out our Life Page here.

For more details about Acuity Analytics please see here: Read here.

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Data Scientist Related jobs

Other jobs at Ascent

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.