At a Glance
- Tasks: Analyse data to enhance cancer care and improve patient outcomes.
- Company: Join Flatiron Health, a mission-driven organisation transforming oncology.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative team environment with mentorship opportunities for junior analysts.
- Why this job: Make a real impact in cancer treatment through innovative data solutions.
- Qualifications: Degree in data science or related field; experience in data analysis required.
The predicted salary is between 29700 - 36300 £ per year.
Data Analyst - Evidence Solutions at Flatiron Health.
About the role We invite you to be part of a transformative journey in cancer care by joining our Evidence Solutions team.
As a Data Analyst, you will play a crucial role in leveraging data to enhance the lives of cancer patients.
Your insights will directly contribute to our mission of improving cancer treatment and outcomes.
If you are passionate about making a difference in oncology through data-driven strategies, we would love to hear from you.
- Key facts
- Engagement: Hybrid work model
- Team: Evidence Solutions
What you'll do
- Collaborate closely with the Evidence Solutions team to deliver comprehensive data sets and analytical products tailored for clients in the life sciences industry.
- Design and implement data models, construct research-grade data sets, and execute statistical analyses that contribute to advancements in cancer care.
- Become a subject matter expert on our data resources, working in tandem with a multidisciplinary team that includes product managers, software engineers, oncologists, and clinical data specialists to innovate real-world data products.
- Conduct rigorous quality assurance assessments on data sets to ensure compliance with research-grade standards, while also investigating and resolving any data inconsistencies.
- Execute and present ad-hoc analyses to respond to client inquiries and internal requests, showcasing your analytical findings effectively.
- Collaborate with cross-functional teams to refine tools and processes that enhance project execution for customized solutions.
- Analyze metadata from internal processes, transforming your findings into actionable insights that inform leadership decisions.
- Contribute to the continuous improvement of data management practices and methodologies within the team.
- Engage in regular meetings with stakeholders to align on project goals and deliverables, ensuring clarity and cohesion in data initiatives.
- Stay updated on industry trends and advancements in data analytics, applying new knowledge to enhance our data capabilities.
- Mentor junior analysts and support their professional development through knowledge sharing and guidance.
Requirements
- A Bachelor's or Master's degree in a relevant technical field such as data science, engineering, computer science, mathematics, applied statistics, health economics, or operations research.
- Between 1 to 3 years of hands-on experience in data analysis, demonstrating a solid understanding of analytical techniques.
- Proficiency in SQL and R, with a strong foundation in data manipulation and statistical programming.
- A solid grasp of fundamental statistical concepts, with the ability to conduct and interpret statistical analyses effectively.
- Excellent communication skills, capable of translating complex data findings into clear and engaging narratives for diverse audiences.
- A self-driven mindset with the ability to manage multiple priorities and develop creative solutions to intricate problems.
- A genuine commitment to enhancing cancer care through the application of data and technology.
- Nice to have
- Previous experience in the healthcare industry, particularly within oncology or clinical data contexts.
- Familiarity with experimental design principles and methodologies.
- Experience in developing software tools that facilitate data analysis or visualization.
- Proficiency in Python, enhancing your versatility in data analytics.
- Knowledge of regulatory requirements and compliance standards in healthcare data management.
Skills & tools
- SQL for database querying and management
- R for statistical analysis and data visualization
- Statistical analysis techniques for interpreting data
- Practical notes
- This role supports a hybrid work model, allowing for a blend of remote and in-office workdays, which can be tailored to team preferences.
- For more information regarding our hybrid work policy, please visit our official website.
Join Flatiron Health and be a part of a mission-driven organization that is dedicated to improving cancer care through innovative data solutions.
Your contributions as a Data Analyst will help shape the future of oncology and make a real difference in the lives of patients.
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Data Analyst - Evidence Solutions employer: Flatiron Health
Flatiron Health is an exceptional employer that fosters a collaborative and innovative work culture, where your contributions directly impact cancer care. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to work alongside leading experts in oncology and data science. Located in a vibrant environment, this role offers the unique advantage of being part of a mission-driven team dedicated to transforming healthcare through data.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Evidence Solutions
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Flatiron Health!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst - Evidence Solutions at Flatiron Health.
✨Leverage Professional Networks
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 Flatiron Health.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst - Evidence Solutions at Flatiron Health, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst - Evidence Solutions
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 Flatiron Health, 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 Flatiron Health. 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 Flatiron Health
✨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 Flatiron Health!
✨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.
