At a Glance
- Tasks: Lead statistical programming for innovative biopharmaceutical studies in Oncology, Rare Disease, or Neuroscience.
- Company: Ipsen Innovation, a global biopharmaceutical leader focused on transformative medicines.
- Benefits: Empowering workplace culture, competitive salary, and opportunities for professional growth.
- Other info: Join a diverse team committed to inclusion and innovation in healthcare.
- Why this job: Make a real impact on patients' lives while working with cutting-edge technology.
- Qualifications: 8+ years in statistical programming, proficiency in SAS, and experience in clinical trials.
The predicted salary is between 60750 - 74250 £ per year.
About Ipsen: Ipsen is a mid-sized global biopharmaceutical company with a focus on transformative medicines in three therapeutic areas: Oncology, Rare Disease and Neuroscience. Supported by nearly 100 years of development experience, with global hubs in the U.S., France and the U.K, we tackle areas of high unmet medical need through research and innovation. Our passionate teams in more than 40 countries are focused on what matters and endeavour every day to bring medicines to patients in 88 countries. We build a workplace that champions human-centric leadership and fosters a culture of collaboration, excellence and impact. At Ipsen, every individual is empowered to be their true selves, grow and thrive alongside the company’s success. Join us on our journey towards sustainable growth, creating real impact on patients and society!
Job Description:
WHAT - Summary & Purpose of the Position
The Senior Manager is responsible to perform as a lead programmer on multiple compounds/studies within the Statistical Programming function to support Ipsen’s Asset under a specific Therapeutic area (Oncology, Rare Disease, or Neuroscience). The role requires hands-on and managerial and technical expertise to ensure the quality and timelines of statistical programming deliveries are met either by CRO oversight or through in-house production.
WHAT - Main Responsibilities & Technical Competencies
- Ensure the quality and timeliness of all the deliveries (in-house or outsourced) are met for the studies they lead;
- Ensures consistency of process and executional excellence of services for the studies they lead;
- Oversees programming preparation activities for global regulatory submissions and responding to health authority questions for the studies he/she leads;
- Contributes to ensuring the oversight of all outsourced programming work to quality, budget, and timeline;
- Ensures the quality of Statistical Programming deliverables, including tables, listings, figures, datasets, and associated documentation, e.g. DEFINE.XML.
- Participate in the development and implementation of SAS programming standards, SOPs and work instructions, including program validation and documentation;
- Ensures their study related documentation according to Ipsen processes and in a ready state acceptable for audit;
- Looks for opportunities to continually improve ways of working, adapt to/adopt cutting edge approaches and manage programming needs for evolving and complex study design methodologies.
HOW - Behavioural Competencies Required
- Collaborates and communicates without boundaries, continuously removes organizational barriers;
- Seeks relevant stakeholder views/expertise and coaches/ensures decisions are made by consent vs. consensus;
- Takes personal accountability for decisions, actions, successes and failures, and fosters the same for others;
- Plans and aligns effectively (steps, resources, timelines etc.);
- Approaches priority setting and setting the stage through the lens of execution.
HOW - Knowledge & Experience
Knowledge & Experience (essential):
- Proficiency in statistical programming package(s), SAS is required;
- Familiar with Global Clinical Data Interchange Standards Consortium (CDISC);
- Experience in SDTM and ADaM specification and programming;
- Experience in reporting and TFL programming.
- 8+ years’ programming experience in pharmaceutical/biotech/CRO environment in drug discovery/clinical trials/drug development.
Knowledge & Experience (preferred):
- R or other packages are desired;
- Understand clinical data flow. Experience in NDA/sNDA submission is desired.
Education / Certifications (essential):
- Bachelor or MSc in Statistics, Mathematics, or Scientific Discipline.
Language(s) (essential): English
Language(s) (preferred): French
We are committed to creating a workplace where everyone feels heard, valued and supported, where we embody “The Real Us”. The value we place on diverse perspectives and experiences drives our commitment to inclusion and equal opportunity. When we integrate diverse ways of thinking, we make more thoughtful decisions and discover more innovative solutions. Together, we strive to better understand the communities we serve. This means we also want to help you bring your best self when applying for a position with us. If you need accommodations or assistance during the application process, please inform the recruitment team. This information will be handled with care and will not impact the outcome of your application.
Summary
Location: Paris; Cambridge One Main; London
Type: Full time
Sr. Manager, Statistical Programming in London employer: Ipsen
Ipsen in Wrexham is an excellent employer, offering a collaborative work culture that prioritises innovation and excellence. Employees benefit from a supportive environment with opportunities for professional growth, all while working in a state-of-the-art packing facility that operates on a convenient Monday to Friday schedule. Join us to be part of a team that values your expertise and contributions in mechanical engineering and vision systems.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Manager, Statistical Programming in London
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We think you need these skills to ace Sr. Manager, Statistical Programming in London
Some tips for your application 🫡
Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show Ipsen that you have the hands-on skills they need.
Tailor Your Technical Skills:Make sure to emphasise your technical skills, especially those relevant to the biotechnology sector. Include any software tools or programming languages you've used, like R or Python for data analysis, which could be key for this role at Ipsen.
Craft a Compelling Cover Letter:Since this is a full-time role, your cover letter should reflect not only your passion for biotechnology but also your long-term career ambitions. Share why you're excited about the work that Ipsen does and how you envision contributing to their goals. This shows that you’re not just looking for any job, but you're genuinely invested in this opportunity.
Include Your Papers and Projects:If you've published any papers or contributed to significant projects, mention them! These documents can boost your application and provide tangible evidence of your expertise in the biotechnology field. Don’t forget to link to any relevant publications or project summaries—this can set you apart from other candidates.
How to prepare for a job interview at Ipsen
✨Brush Up on Lab Techniques
Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at Ipsen. You might even be asked to demonstrate your understanding of these processes.
✨Know Your Bioinformatics Tools
Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.
✨Show Your Teamwork Skills
Biotech often involves collaboration across multiple disciplines. Be ready to share stories that highlight your teamwork and communication skills, especially in research projects. Think about working with different teams at university or any internships – this is where you can show how well you fit into Ipsen's culture.
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