At a Glance
- Tasks: Develop R and R Shiny dashboards for clinical trial data insights.
- Company: Phastar, a supportive and collaborative company focused on equal opportunities.
- Benefits: Remote work, flexible hours, career development, and mentorship.
- Other info: Join a diverse team committed to continuous learning and growth.
- Why this job: Make a real impact in clinical trials with your data skills.
- Qualifications: Experience in R programming, R Shiny, and clinical trials environment.
The predicted salary is between 60000 - 80000 £ per year.
As a Data Scientist with strong R programming and R Shiny experience, you will develop data solutions that support clinical trial delivery, data review and decision-making. You will build dashboards, visualisations and analytical tools that turn complex data into clear, actionable insights.
Responsibilities
- Develop R and R Shiny dashboards and applications for clinical trial data review and decision-making
- Build reusable R code, functions and workflows to improve consistency and automation
- Create data visualisations and reports that translate complex data into actionable insights
- Enhance R Shiny applications through testing, documentation and user feedback
- Identify opportunities to improve efficiency through automation and reusable tools
Qualifications
- Experience working within a clinical trials environment (CRO, pharma or academia)
- Previous experience with R Programming & R shiny
- Experience in CDISC is highly desirable
- MSc or higher in Statistics, Mathematics or related field
Benefits
- Remote working and flexible working hours
- Career development, mentorship, and continuous learning
- Supportive, friendly, and collaborative culture
Phastar is committed to the principles and practices of equal opportunities and to encourage the establishment of a diverse workforce. It is our policy to employ individuals on the basis of their suitability for the work to be performed and their potential for development, regardless of age, sex, race, color, nationality, ethnic or national origin, disability, marital status, pregnancy or maternity, sexual orientation, gender reassignment, religion, or belief. This includes creating a culture that fully reflects our commitment to equal opportunities for all.
Principal Data Scientist in London employer: PHASTAR
Phastar is an exceptional employer that fosters a supportive and collaborative work culture, ideal for a Principal Data Scientist looking to make a meaningful impact in the clinical trials environment. With flexible working hours and remote options, employees benefit from a strong focus on career development and continuous learning, ensuring that your skills in R programming and data visualisation are not only utilised but also enhanced. Join us to be part of a diverse team committed to equal opportunities and innovative data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Scientist in London
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like PHASTAR.
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We think you need these skills to ace Principal Data Scientist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at PHASTAR, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at PHASTAR. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at PHASTAR
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at PHASTAR!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
