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- Tasks: Join our team as a Statistical Programmer and drive impactful projects in oncology.
- Company: Work with a global mid-sized pharmaceutical company known for its inspiring culture and high retention rates.
- Benefits: Enjoy a fully remote role with a supportive and progressive work environment.
- Why this job: Make a difference in healthcare while developing your skills in a collaborative setting.
- Qualifications: 8+ years of Statistical Programming experience, especially in oncology, with proficiency in R, SAS, or Python.
- Other info: Contact Jenson Green at Planet Pharma for more details and to apply!
The predicted salary is between 43200 - 72000 £ per year.
We are currently partnered with a Global Mid-sized Pharmaceutical Company who are seeking a Statistical Programmer to join their Programming department. You would be working for a pharmaceutical company with offering a full remote role adn they have a good retention rate in the industry. They offer an inspiring place to work and a chance to make your mark in doing good for others with open and progressive culture experience.
They are looking for a candidate with 8+ years Statistical Programming experience and extensive Oncology experience. Substantial experience in clinical data standards ADAMS, TLFs, and submission guidelines and Hands-on programming experience within one or more statistical/data science programming languages (e.g., R, SAS, or Python).
Key Responsibilities:
- Identify and communicate project goals, timelines, and milestones.
- Identify project interdependencies and potential constraints.
- Assign roles and hold stakeholders accountable to meet project outcomes on time and within budget.
- Ability to read, analyze, and communicate large and small amounts of data effectively including teaching/explaining data-driven results to others.
Essential Knowledge & Experience:
- Substantial experience in clinical data standards ADAMS, TLFs, and submission guidelines.
- Handson programming experience within one or more statistical/data science programming languages (e.g., R, SAS, or Python).
- Knowledge of the data science lifecycle and process flow (e.g., ETL, data quality, statistical data analysis, machine learning, data randomization.
- Knowledge of study documents such as Protocol, SAP, TLF specs, and data specification.
- 3+ years experience working with oncology
Please click ‘apply’ or contact Jenson Green(Recruiter I) at Planet Pharma for more information:
E: JGreen@planet-pharma.co.uk
Planet Pharma | Statistical Programmer employer: Planet Pharma
Contact Detail:
Planet Pharma Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Planet Pharma | Statistical Programmer
✨Tip Number 1
Make sure to highlight your extensive experience in Statistical Programming, especially in Oncology. Tailor your discussions to showcase specific projects where you utilized ADAMS, TLFs, and submission guidelines.
✨Tip Number 2
Familiarize yourself with the data science lifecycle and be ready to discuss how you've applied ETL processes, data quality checks, and statistical analysis in your previous roles. This will demonstrate your comprehensive understanding of the field.
✨Tip Number 3
Prepare to explain complex data-driven results in a clear and concise manner. Practice teaching these concepts to someone without a technical background to show your ability to communicate effectively.
✨Tip Number 4
Research Planet Pharma and their culture. Be ready to discuss how your values align with their open and progressive environment, and how you can contribute positively to their team.
We think you need these skills to ace Planet Pharma | Statistical Programmer
Some tips for your application 🫡
Tailor Your CV: Make sure to customize your CV to highlight your 8+ years of Statistical Programming experience, especially focusing on your extensive Oncology experience. Include specific projects or roles that demonstrate your expertise in clinical data standards like ADAMS and TLFs.
Craft a Strong Cover Letter: Write a compelling cover letter that outlines your passion for the pharmaceutical industry and your commitment to making a positive impact. Mention your hands-on programming experience with languages such as R, SAS, or Python, and how it aligns with the company's goals.
Highlight Relevant Skills: In your application, emphasize your knowledge of the data science lifecycle and your ability to communicate complex data-driven results effectively. This will show that you can meet the key responsibilities outlined in the job description.
Proofread Your Application: Before submitting, carefully proofread your application materials to ensure there are no errors. A polished application reflects your attention to detail, which is crucial in the role of a Statistical Programmer.
How to prepare for a job interview at Planet Pharma
✨Showcase Your Experience
Make sure to highlight your 8+ years of Statistical Programming experience, especially in Oncology. Prepare specific examples of projects you've worked on that demonstrate your expertise in clinical data standards like ADAMS and TLFs.
✨Demonstrate Technical Proficiency
Be ready to discuss your hands-on programming experience with languages such as R, SAS, or Python. You might be asked to solve a problem or explain a concept, so brush up on your technical skills and be prepared to showcase them.
✨Understand Project Management
Since the role involves identifying project goals and timelines, familiarize yourself with project management principles. Be prepared to discuss how you have managed project interdependencies and held stakeholders accountable in past roles.
✨Communicate Data Effectively
You will need to read, analyze, and communicate data effectively. Practice explaining complex data-driven results in simple terms, as you may need to teach or explain these concepts to others during the interview.
