Epidemiologist & Biostatistician - Real-World Data + ML in North East
Epidemiologist & Biostatistician - Real-World Data + ML

Epidemiologist & Biostatistician - Real-World Data + ML in North East

North East Full-Time 50000 - 70000 £ / year (est.) No home office possible
Flatiron Health

At a Glance

  • Tasks: Join a team to enhance cancer care through data curation and AI/ML solutions.
  • Company: Flatiron Health, a leader in modern oncology ecosystems.
  • Benefits: Flexible work hours, comprehensive compensation, mental well-being support, and parental benefits.
  • Why this job: Make a real impact on cancer care while growing your skills in a supportive environment.
  • Qualifications: Master's or Bachelor's in relevant fields with experience in epidemiology and data analysis.
  • Other info: Hybrid work model with opportunities for continuous learning and career growth.

The predicted salary is between 50000 - 70000 £ per year.

Reimagine the infrastructure of cancer care within a community that values integrity, inspires growth, and is uniquely positioned to create a more modern, connected oncology ecosystem. We’re looking for a research scientist to help us accomplish our mission to improve and extend lives by learning from the experience of every person with cancer. Are you ready to be the next changemaker in cancer care?

What You'll Do

In this role, you will work as a member of the Research Sciences (RS) department, primarily supporting the Data Curation team within the Core Technologies organization. This team thinks holistically about our end-to-end data collection, curation, and processing to build scaled real-world data solutions. As an RS member on this team, you will support the development and validation of new real-world variables and datasets built using various curation approaches, including human chart review and artificial intelligence/machine learning (AI/ML).

  • Execute studies to characterize the quality and inform fit-for-purpose use of RWD solutions.
  • Work collaboratively with cross-functional stakeholders such as project managers, ML model developers and oncologists to execute on analyses that inform variable development and quality in an accurate, effective, and timely manner.
  • Build subject matter expertise in real-world data curation approaches and fit-for-purpose of Flatiron panoramic data solutions for real-world evidence use cases.
  • Contribute to improvement initiatives that introduce efficiency into our ways of working and accelerate our ability to generate fit-for-purpose scaled RWD solutions.
  • Conduct analysis to support discussions with clients about the utility of panoramic solutions for customer use cases.

Who You Are

You're a kind, passionate and collaborative problem-solver. In addition, you’re an analytical thinker and excellent communicator with experience developing real-world evidence from real-world data (e.g., healthcare claims or electronic health records). You are excited by the prospect of rolling up your sleeves to tackle meaningful problems each and every day.

  • You hold a Master’s degree in Epidemiology, Biostatistics, Health Economics and Outcomes Research, Health Policy (or closely related field) with 2 - 3 years of relevant experience or a Bachelor’s degree in one of those fields with 4-5 years of relevant experience.
  • You have experience working with observational data and have a track record of success applying epidemiologic approaches to problems in public health and/or pharmacoepidemiology.
  • You are familiar with AI/ML tools used for unstructured data processes.
  • You have strong problem solving skills and have experience breaking down complex ambiguous problems and driving towards results in a complex stakeholder environment.
  • You are proficient programming in R.
  • You have strong organizational, time-management, prioritization and decision-making skills necessary to evaluate, plan and implement multiple high-visibility projects in a timely fashion.
  • You have the ability to work effectively in a constantly changing, diverse, and matrix environment.
  • You are able to quickly learn and apply new information, skills and procedures.
  • You are passionate about our mission to improve healthcare through technology.

Extra credit

  • You have oncology experience.
  • You have experience working in a pharmaceutical/HEOR consulting environment.

Where you’ll work

In this hybrid role, you’ll have a defined work location that includes work from home and 3 office days set by you and your team.

Life at Flatiron

At Flatiron Health, we offer a full range of benefits to support you and your loved ones so you can focus your working hours on improving cancer care and accelerating cancer research, and your non-working hours on everything else life has to offer:

  • Work/life autonomy via flexible work hours and flexible paid time off.
  • Comprehensive compensation package.
  • 401(k) contribution to help you reach your retirement planning goals.
  • Financial health resources including 1:1 financial advice.
  • Mental well-being tools and services.
  • Parental benefits and policies including family-building care and generous leave.
  • Path to parenthood programs supporting fertility, adoption and surrogacy.
  • Travel support for safe healthcare services.

In addition to our robust benefit offerings, visit our Life at Flatiron page to learn how we support continuous learning and celebrate inclusion and belonging in the workplace.

Epidemiologist & Biostatistician - Real-World Data + ML in North East employer: Flatiron Health

At Flatiron Health, we are dedicated to transforming cancer care through innovative research and technology, making us an exceptional employer for those passionate about improving healthcare. Our supportive work culture fosters collaboration and personal growth, offering flexible work arrangements, comprehensive benefits, and a commitment to employee well-being. Join us in our mission to enhance the oncology ecosystem while enjoying a fulfilling career that values integrity and inspires professional development.
Flatiron Health

Contact Detail:

Flatiron Health Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Epidemiologist & Biostatistician - Real-World Data + ML in North East

✨Tip Number 1

Network like a pro! Reach out to professionals in the oncology and data science fields on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!

✨Tip Number 2

Prepare for those interviews by researching the company and its mission. Understand their approach to real-world data and AI/ML. We want you to show them you’re not just another candidate; you’re genuinely excited about improving cancer care and have ideas to contribute!

✨Tip Number 3

Practice your problem-solving skills! Be ready to tackle case studies or hypothetical scenarios during interviews. We suggest you brush up on your epidemiologic approaches and think through how you’d apply them to real-world challenges in healthcare.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s make this happen together!

We think you need these skills to ace Epidemiologist & Biostatistician - Real-World Data + ML in North East

Epidemiology
Biostatistics
Real-World Data (RWD)
Machine Learning (ML)
Data Curation
Analytical Thinking
Problem-Solving Skills
Programming in R
Observational Data Analysis
Healthcare Claims Analysis
Electronic Health Records (EHR)
Organisational Skills
Time Management
Collaboration with Cross-Functional Teams
Adaptability in a Matrix Environment

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of Epidemiologist & Biostatistician. Highlight your experience with real-world data and any relevant projects you've worked on, especially those involving AI/ML.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about improving cancer care and how your background makes you a perfect fit for our team. Be genuine and let your personality come through.

Showcase Your Analytical Skills: In your application, don’t forget to mention specific examples where you've used your analytical skills to solve complex problems. We love seeing how you approach challenges, especially in a collaborative environment.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our mission to improve healthcare through technology.

How to prepare for a job interview at Flatiron Health

✨Know Your Data

Make sure you brush up on your knowledge of real-world data (RWD) and how it applies to cancer care. Be ready to discuss specific examples of how you've used observational data in your previous roles, especially in relation to epidemiology and biostatistics.

✨Collaborate Like a Pro

Since this role involves working with cross-functional teams, think of examples where you've successfully collaborated with others. Prepare to share how you’ve communicated complex data findings to non-technical stakeholders, as this will show your ability to bridge gaps between teams.

✨Showcase Your Problem-Solving Skills

Be prepared to discuss how you've tackled ambiguous problems in the past. Think of specific challenges you've faced in your work with RWD and how you approached them. This will demonstrate your analytical thinking and problem-solving capabilities.

✨Get Familiar with AI/ML Tools

Since familiarity with AI/ML tools is a plus, do some research on the latest technologies used in unstructured data processes. If you have experience with any specific tools or methodologies, be ready to talk about them and how they can enhance data curation efforts.

Epidemiologist & Biostatistician - Real-World Data + ML in North East
Flatiron Health
Location: North East

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