At a Glance
- Tasks: Manage and analyse data to provide insights on infectious diseases and biorisk.
- Company: Join Airfinity, a leading predictive analytics company in the life sciences sector.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Be part of a diverse team committed to innovation and inclusion.
- Why this job: Make a real impact in global health by leveraging your data expertise.
- Qualifications: Strong attention to detail, SQL proficiency, and knowledge of infectious disease preferred.
The predicted salary is between 49500 - 60500 £ per year.
Airfinity is a predictive analytics company covering infectious disease, obesity, and cardiometabolic conditions. Airfinity provides AI-powered intelligence, simulation, and forecasting to help life sciences organisations navigate uncertainty. Our insights support faster, more confident decisions. Trusted by biopharma companies, governments, and global health leaders worldwide.
The Senior Data Manager is a key role within Airfinity working within the data team to produce insight and intelligence for our clients relating to different aspects of infectious diseases and biorisk. This role will focus on a wide range of pathogen, disease, and biorisk areas which will expand data coverage, inform research, modelling, and intelligence/insights. A major priority for this role is to use your expertise in geospatial data to inform data and technology products.
Key Responsibilities:
- Develop a deep understanding of Airfinity data to support specific areas of data collection, annotation, and development.
- Work independently on tasks or projects once given a clear brief.
- Ensure accuracy and completeness of data, rigorously checking outputs against standards and procedures.
- Take ownership of specific data areas or ongoing tasks.
- Contribute to expanding and improving datasets through knowledge of data structures.
- Coordinate with team members on cross-area projects, supporting delivery alongside more senior colleagues.
- Communicate effectively with stakeholders outside the immediate team to ensure prioritisation of tasks.
- Produce slides with minimal supervision and contribute to deep dives.
- Provide detailed commentary on data changes and updates.
- Answer area-specific questions in client calls.
Skills and Qualifications:
- Strong attention to detail and commitment to data accuracy and completeness.
- Fluent SQL and experience working with relational databases.
- Knowledge of data structures within specific areas and ability to contribute to dataset improvement.
- Ability to work independently with clear direction.
- Clear and confident communication, both within and outside the team.
- Working knowledge of Python.
- Ability to clearly express ideas and contribute to team discussions and roadmap development.
- Experience in Infectious Disease preferable and/or Epidemiology.
This is a remote working role based in the UK.
Our Commitment to Diversity and Inclusion: We are an Equal Opportunity Employer committed to fostering an inclusive and diverse culture. We do not discriminate on any basis and believe that a broad range of perspectives helps us innovate and reach our collective potential.
Senior Data Manager employer: Airfinity Ltd
Airfinity is an exceptional employer that empowers its employees to tackle significant scientific and public health challenges through innovative technology. With a strong commitment to diversity and inclusion, the company fosters a collaborative work culture where team members can grow their skills and advance their careers while working on cutting-edge projects in the life sciences sector. Located in a dynamic environment, Airfinity offers unique opportunities for professional development and the chance to make a meaningful impact in global health.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Manager
✨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 Airfinity Ltd.
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We think you need these skills to ace Senior Data Manager
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 Airfinity Ltd, 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 Airfinity Ltd. 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 Airfinity Ltd
✨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 Airfinity Ltd!
✨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.
