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- Tasks: Join our team to develop R packages and consult on Biostats models for global biopharma clients.
- Company: Ascent is a digital transformation business focused on data, software, and innovative solutions.
- Benefits: Enjoy hybrid work options, well-being support, and professional development opportunities.
- Why this job: Be part of a vibrant culture that values empathy, energy, and audacity while making a real impact.
- Qualifications: Experience in biostatistics, strong R programming skills, and familiarity with cloud infrastructure are essential.
- Other info: We prioritize inclusion and provide accommodations for all applicants.
The predicted salary is between 43200 - 72000 £ per year.
Senior Data Scientist (Biostats Engineering)
At Ascent, we are committed to protecting your privacy and handling your personal data responsibly.
Data Science function hiring in: United Kingdom
Work Preference Option(s): Hybrid
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.
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.
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.
If you have any questions contact our Talent Acquisition team on
#J-18808-Ljbffr
Senior Data Scientist (Biostats Engineering) employer: Tekaris GmbH
Contact Detail:
Tekaris GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (Biostats Engineering)
✨Tip Number 1
Make sure to showcase your experience with R programming and package development in your conversations. Highlight specific projects where you've successfully developed R packages, as this is a key requirement for the role.
✨Tip Number 2
Familiarize yourself with Databricks and Azure, as these platforms are crucial for the position. If you have any hands-on experience or relevant projects, be ready to discuss them during your interviews.
✨Tip Number 3
Demonstrate your understanding of biostatistics and how it applies to real-world scenarios. Be prepared to discuss how you've used statistical models to solve problems in previous roles, especially in a biopharma context.
✨Tip Number 4
Emphasize your ability to collaborate with cross-functional teams. Share examples of how you've worked with IT or product teams to integrate solutions, as teamwork is highly valued at Ascent.
We think you need these skills to ace Senior Data Scientist (Biostats Engineering)
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Senior Data Scientist position. Make sure you understand the key responsibilities and required skills, especially in R programming and biostatistics.
Tailor Your CV: Customize your CV to highlight relevant experience in data science, particularly focusing on your work with R packages, model development, and cloud infrastructure like Databricks and Azure.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your ability to deliver high-impact outcomes. Mention specific projects or experiences that align with Ascent's mission and values.
Showcase Collaboration Skills: Emphasize your ability to work collaboratively with teams and stakeholders. Provide examples of how you've successfully integrated solutions in previous roles, as this is crucial for the position at Ascent.
How to prepare for a job interview at Tekaris GmbH
✨Showcase Your R Expertise
Make sure to highlight your strong R programming skills and any experience you have with R package development. Be prepared to discuss specific projects where you've successfully implemented these skills.
✨Demonstrate Biostatistics Knowledge
Since the role focuses on biostatistics, be ready to talk about your background in this area. Share examples of how you've applied biostatistical methods in previous roles, especially in a consulting context.
✨Discuss Cloud Infrastructure Experience
Ascent values familiarity with cloud infrastructure, particularly Databricks and Azure. Prepare to discuss your experience with these platforms and how you've utilized them in model deployment and development.
✨Emphasize Collaboration Skills
The role requires working closely with customer stakeholders and adjacent teams. Highlight your ability to collaborate effectively, share examples of past teamwork, and demonstrate your empathy and professionalism.
