At a Glance
- Tasks: Lead programming activities to generate real-world evidence using large-scale healthcare data.
- Company: Join a forward-thinking company dedicated to impactful healthcare solutions.
- Benefits: Attractive salary, health benefits, flexible work options, and growth opportunities.
- Other info: Collaborative environment with a focus on professional development and career advancement.
- Why this job: Make a difference in healthcare by working with real-world data and innovative technologies.
- Qualifications: Expertise in R and SQL, with experience in healthcare analytics and programming.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking a highly skilled Real-World Data (RWD) Programmer to join the Scientific Programming team. The successful candidate will lead programming activities to support real-world evidence (RWE) generation using large-scale healthcare data sources (e.g., electronic health records, claims, registries). This role will collaborate with biostatistics and technical teams to implement and deliver high-quality analytic datasets, outputs, and visualizations.
Essential Duties & Responsibilities
- Develop, validate and maintain analysis-ready datasets, tables, figures and listings for observational and RWE studies derived from diverse real-world data sources, including claims, electronic health records (EHRs) and registry data.
- Write, test and validate programs to produce analysis datasets, TLFs and presentation output, to be included in reports for submission to regulatory agencies, publications and other communications as needed.
- Conduct exploratory data analyses to support evidence generation, feasibility assessments and study design refinement.
- Interact and communicate with programming teams and stakeholders to identify efficient programming solutions and contribute to analytic strategy.
- Manage and contribute to the standardization and automation of data processing workflows, including the development of reusable programming templates and data refreshes.
- Design and develop effective visualizations and interactive dashboards (e.g. Power BI, Spotfire, R-Shiny) to support decision-making.
- Apply best practice in RWD programming and analytics to develop and deliver high-quality reports independently.
- Understand and execute department-, product- and study-level macros and utilities. Write, test and validate product- and study-level macros and utilities.
- Be a technical resource for programming teams to provide advice on complex programming tasks and/or standards.
- Contribute to the development review of Statistical Programming policies, standard operating procedures and other controlled documents.
- Interface with outsourcing partners and vendors.
Core Competencies, Knowledge and Skill Requirements
- Strong proficiency in R and SQL (Python and SAS experience a plus) or other data manipulation languages to manage and analyze large-scale healthcare datasets.
- Basic knowledge of statistical analysis methodologies and study design concepts.
- Fundamentals of project planning and management.
- Drug development process.
Communication & Interpersonal Skills
- Excellent verbal and written communication skills.
- Excellent problem-solving skills and ability to work independently and collaboratively in a fast-paced environment.
- Ability to effectively collaborate in a dynamic environment.
Desired Background and Experience
- Expert level R and SQL programmer with demonstrated experience in handling large-scale healthcare datasets and delivering on complex programming assignments and analysis.
- Deep knowledge of real-world data sources (claims, EHRs, registries) and observational study design.
- Strong understanding of healthcare coding systems (ICD, CPT, NDC, HCPCS, RxNorm).
- Experience in supporting HEOR, epidemiology or medical affairs teams.
- Experience in Oncology studies.
- Experience leading or working with centralized teams for Statistical Programming.
- Experience in FDA/EMEA/CFDA trial and regulatory submissions.
- Experience in development and implementation of statistical programming standards and procedures.
- Experience with the drug development process (pre-, early, late and/or observational) in related industries or academic research.
- Experience with oncology trials.
- Expert level SAS programmer with experience in delivering complex programming assignments and analysis.
Requirements
- Education: Master’s degree, in Computer Science, Statistics, Mathematics, Life Sciences or other relevant scientific subjects, or equivalent related experience.
- Experience: Minimum 7+ years’ clinical research and development programming experience using R and SQL. Minimum 5+ years’ RWD programming experience in healthcare analytics settings using R and SQL.
BeOne is an equal opportunity employer. All employment is decided on the basis of qualifications, merit, and business need.
Senior Manager, Scientific Programming Cambridge employer: BeOne Medicines
BeOne is an exceptional employer located in Cambridge, offering a dynamic work culture that fosters collaboration and innovation within the Scientific Programming team. Employees benefit from opportunities for professional growth through engaging projects in real-world data analytics, while enjoying a supportive environment that values diversity and inclusion. With a focus on high-quality outputs and cutting-edge technology, BeOne empowers its staff to make meaningful contributions to healthcare research and development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager, Scientific Programming Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in healthcare analytics or programming. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work with R and SQL. Include examples of datasets you've worked on, visualisations you've created, and any projects that highlight your expertise in real-world data programming.
✨Tip Number 3
Prepare for interviews by brushing up on common programming challenges and case studies related to healthcare data. We recommend practising coding problems and being ready to discuss your thought process during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Senior Manager, Scientific Programming Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Manager, Scientific Programming role. Highlight your experience with RWD programming and large-scale healthcare datasets. We want to see how your skills match what we're looking for!
Showcase Your Skills:In your application, don’t just list your skills—show us how you've used them! Include specific examples of projects where you’ve developed analysis-ready datasets or created visualisations. This helps us see your practical experience.
Be Clear and Concise:When writing your cover letter, keep it clear and to the point. We appreciate a well-structured letter that outlines your relevant experience and why you’re excited about this role. Remember, we’re looking for quality over quantity!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people. Don’t miss out on this opportunity!
How to prepare for a job interview at BeOne Medicines
✨Know Your RWD Inside Out
Make sure you brush up on your knowledge of real-world data sources like claims, EHRs, and registries. Be ready to discuss how you've used these in past projects, as well as any challenges you've faced and how you overcame them.
✨Show Off Your Programming Skills
Since this role requires strong proficiency in R and SQL, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be ready to explain your thought process.
✨Prepare for Collaboration Questions
This position involves working closely with biostatistics and technical teams. Think of examples where you've successfully collaborated on projects, highlighting your communication skills and ability to work in a fast-paced environment.
✨Visualisation is Key
As you'll need to design effective visualisations and dashboards, be prepared to discuss your experience with tools like Power BI or R-Shiny. Bring examples of your work if possible, and be ready to explain how your visualisations have supported decision-making.
