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- Tasks: Join a dynamic team to analyze data and support cardiovascular health research.
- Company: Work with a renowned healthcare institute focused on improving health outcomes.
- Benefits: Enjoy a permanent full-time role with a collaborative work environment in West London.
- Why this job: Make a real impact in healthcare while developing your statistical skills and working with experts.
- Qualifications: Master's degree in statistics or related field; strong coding skills, preferably in SAS.
- Other info: Opportunity to publish research and participate in a clinical research fellowship program.
The predicted salary is between 36000 - 60000 £ per year.
Do you have a strong foundation in medical statistics ideally in registries, experience in statistical coding, and a passion for using data to drive research in cardiovascular health?
We’re supporting one of our clients, a renowned healthcare institute, in their search for a Statistician.
As part of a small, dynamic and growing team, you will have the opportunity to work with other statisticians and medical writers, as well as directly with leading clinicians and multi-disciplinary team members. You will play a crucial role in supporting research that is aimed at improving cardiovascular health outcomes. Working closely with cross-functional teams you will analyse real-world evidence and apply statistical methodologies to derive meaningful insights.
Note this is a permanent full-time position working directly for our client who are based in West London. You will need to work from their offices on three days a week.
Key Responsibilities:
- Collaborate on current clinical research projects, help with the design of new clinical studies and publish research in clinical scientific journals
- Apply statistical techniques to analyse real-world evidence related to thrombosis and cardiovascular health
- Assist in the design and execution of experiments or studies related to cardiovascular health outcomes
- Be part of the clinical research fellowship program, designed to educate clinicians in research methodology
- Develop and maintain statistical models to support research initiatives
- Clean, prepare, and validate data for statistical analysis
- Utilise statistical software, with a preference for SAS, to conduct data analysis and create visualisations
- Prepare clear and concise reports and presentations to communicate findings to non-technical stakeholders
- Stay up-to-date with industry trends and advancements in statistical methodologies
- Support acquisition and implementation of new information sources, data collection strategies, and analytics
- Help staff with data manipulation and analytic methods to improve analytic deliverables when required.
Skills and Experience Required:
- A master’s degree in an area pertinent to the subject area, e.g. statistics, epidemiology, predictive modelling techniques, etc. Candidates with a Bachelor’s degree with extensive working experience will also be considered
- Strong knowledge of statistical concepts and methodologies
- Proficiency in statistical coding, with a preference for SAS. Experience with R, Python, or other statistical software will also be considered
- Good oral and written communication skills
- Proven publication track-record in one or more of the following areas: statistics, machine learning, computational optimisation, open source software, predictive analytics, clinical research
- Ability to apply data mining techniques and statistical modelling to large amounts of population health data to discover optimal treatment and utilization patterns that can lead to improved health outcomes.
If this opportunity suits your skills and experience, and you would like to find out more, please apply today!
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Statistician employer: Pop Science
Contact Detail:
Pop Science Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistician
✨Tip Number 1
Make sure to highlight your experience with statistical coding, especially with SAS, during any networking opportunities. Engaging with professionals in the field can help you learn about unadvertised positions and gain insights into the company culture.
✨Tip Number 2
Attend industry conferences or workshops focused on cardiovascular health and medical statistics. This will not only expand your knowledge but also allow you to connect with potential colleagues and employers who value hands-on experience.
✨Tip Number 3
Join online forums or social media groups related to medical statistics and cardiovascular research. Engaging in discussions can help you stay updated on trends and may lead to job referrals from peers in the industry.
✨Tip Number 4
Consider reaching out directly to current employees at the healthcare institute through LinkedIn. Expressing your interest in their work and asking for informational interviews can provide valuable insights and potentially strengthen your application.
We think you need these skills to ace Statistician
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in medical statistics, particularly in registries. Mention any specific projects or roles where you applied statistical methodologies to cardiovascular health.
Showcase Technical Skills: Clearly outline your proficiency in statistical coding, especially with SAS. If you have experience with R or Python, include that as well. Provide examples of how you've used these tools in past projects.
Demonstrate Communication Skills: Since the role involves communicating findings to non-technical stakeholders, include examples of reports or presentations you've prepared. Highlight your ability to convey complex statistical concepts in an understandable way.
Express Passion for Research: Convey your enthusiasm for using data to drive research in cardiovascular health. Share any relevant experiences or motivations that demonstrate your commitment to improving health outcomes through statistical analysis.
How to prepare for a job interview at Pop Science
✨Showcase Your Statistical Knowledge
Be prepared to discuss your understanding of medical statistics, particularly in relation to cardiovascular health. Highlight any relevant projects or experiences where you applied statistical methodologies to real-world data.
✨Demonstrate Coding Proficiency
Since proficiency in statistical coding is crucial, be ready to talk about your experience with SAS, R, or Python. You might even be asked to solve a coding problem during the interview, so brush up on your skills!
✨Communicate Clearly
You will need to present complex statistical findings to non-technical stakeholders. Practice explaining your past work and results in simple terms, focusing on the impact of your analyses on cardiovascular health outcomes.
✨Stay Updated on Industry Trends
Research recent advancements in statistical methodologies and cardiovascular health. Being knowledgeable about current trends will show your passion for the field and your commitment to continuous learning.
