Senior Data Scientist (Biostats Engineering)

This is a perfect opportunity for ambitious individuals to join a team of curious minds and support peers with a passion and the skills for creating value for businesses using data.

About us

We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business.

We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms.

We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too!

At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community. 

About the role

We are looking for an experienced Data Scientist to work at one of our global biopharma customers on a range of Biostats models consulting and development engagements. They are expected to bring extensive knowledge in best practices on R package development, model development and deployment on Databricks, collaboration with version control systems, and familiarity with other topics such as data architecture and cloud infrastructure. They will be working closely with Ascent’s existing team embedded in customer’s organisation; this demands professionalism and empathy. A dedicated focus on delivering high-impact outcomes that delight our customers is key.

The role is expected to perform these tasks in an enterprise environment:

• Develop professional quality R packages;
• Provide consultancy on Biostats model development and deployment best practices;
• Review and optimise code, integrate existing modelling code into packages;
• Design and implement end to end modelling and deployment process on Databricks;
• Support and collaborate with adjacent teams (e.g. products, IT) to integrate the modelling solution;
• Continually innovate with the team and the customer on using modern tooling to improve model development and deployment;

Skills and Experience

A successful candidate will have demonstrated these experiences:

• A background or work experience in biostatistics or a similar discipline;
• Strong R programming, and R package development;
• Statistical model deployment, and end-to-end MLOps is nice to have;
• Having worked extensively on cloud infrastructure, preferably Databricks and Azure;
• Shiny development is nice to have;
• Can work with customer stakeholders to understand business processes and workflows, and can design solutions to optimize processes via streamlining and automation;
• DevOps experience and familiarity with software release process;
• Familiar with agile delivery methods.

Working at Ascent

At Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches.

Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries.
Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply.