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For Companies At a Glance
- Tasks: Provide statistical insights for impactful medical studies and collaborate with cross-functional teams.
- Company: Join US Tech Solutions, a global leader in talent solutions with a commitment to diversity.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real difference in healthcare by shaping clinical outcomes through data-driven insights.
- Qualifications: PhD or MS in Biostatistics/Statistics with 4+ years in the pharmaceutical industry.
- Other info: Long-term remote role with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
About the Role
We are seeking a skilled Biostatistician to join our team on a long-term (up to 2 years) remote assignment. The ideal candidate will have hands-on experience in the pharmaceutical industry, providing statistical input into study design, analysis, and reporting for interventional and observational studies.
This role plays a key part in supporting Phase-4, Medical Affairs, and Real World Evidence (RWE) initiatives, contributing to data-driven insights that shape medical and clinical outcomes.
Core Essential Skill Sets
- Industry Experience: Proven experience in the pharmaceutical industry providing statistical input into study design, statistical analysis, and reporting of interventional and observational studies.
- Study Type Experience: Minimum 4 years of experience with Phase-4, Medical Affairs, Real World Evidence (RWE), or Health Economics and Outcomes Research (HEOR) studies.
- Technical Expertise: Minimum 4 years of hands-on experience with SAS and R.
- Data Standards: Minimum 4 years of experience with SDTM and ADaM data standards.
- RWD/RWE Methodologies: Minimum 4 years of experience with Real World Data (RWD) and RWE methodologies, such as propensity score analysis and causal inference.
- Advanced Statistical Models: Minimum 4 years of experience with mixed-effect model approaches for repeated measures and Machine Learning (ML) methods.
Qualifications
- Education: PhD or MS in Biostatistics or Statistics.
- Provide statistical support in protocol development for observational studies and/or clinical trials.
- Author and review Statistical Analysis Plans (SAPs), analysis dataset specifications, and TFL (Tables, Figures, Listings) shells.
- Work with programming and cross-functional teams in Phase-4/non-interventional studies to develop CRFs, validate and review datasets and results.
- Conduct programming and analysis for Medical Affairs and RWE studies.
- Support development of abstracts, posters, and manuscripts as study deliverables.
About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Recruiter Details:
Name: Kartik Sharma
Email: kartik@ustechsolutionsinc.com
Internal Id:25-49839
Biostatistician employer: US Tech Solutions
Contact Detail:
US Tech Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Biostatistician
✨Tip Number 1
Network like a pro! Reach out to your connections in the pharmaceutical industry and let them know you're on the lookout for Biostatistician roles. You never know who might have the inside scoop on an opportunity that’s not even advertised yet!
✨Tip Number 2
Get your online presence sorted! Make sure your LinkedIn profile is up-to-date and showcases your experience with SAS, R, and all those fancy statistical models. Recruiters love a well-crafted profile that highlights your skills and achievements.
✨Tip Number 3
Practice your interview skills! Prepare for common questions related to biostatistics and be ready to discuss your experience with Phase-4 studies and RWE methodologies. Mock interviews with friends can help you feel more confident when the real deal comes along.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Biostatisticians like you. Keep an eye on our listings and make sure to submit your application directly for the best chance at landing that dream job!
We think you need these skills to ace Biostatistician
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in the pharmaceutical industry, especially with interventional and observational studies. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our Biostatistician role. Share specific examples of your work with SAS, R, and any relevant methodologies you've used. We love a good story!
Showcase Your Technical Skills: Since technical expertise is key for this role, make sure to list your experience with SDTM, ADaM, and advanced statistical models clearly. We want to see your hands-on experience, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at US Tech Solutions
✨Know Your Stats
Brush up on your statistical knowledge, especially around the methodologies mentioned in the job description. Be ready to discuss your experience with SAS, R, and advanced statistical models like mixed-effect models and machine learning techniques.
✨Showcase Your Industry Experience
Prepare specific examples from your past work in the pharmaceutical industry. Highlight your contributions to study design, analysis, and reporting for interventional and observational studies, particularly in Phase-4 and RWE initiatives.
✨Familiarise Yourself with Data Standards
Make sure you understand SDTM and ADaM data standards thoroughly. Be prepared to explain how you've applied these standards in your previous roles and how they relate to the statistical analysis plans (SAPs) you've authored or reviewed.
✨Communicate Clearly
During the interview, articulate your thought process clearly when discussing complex statistical concepts. Use straightforward language to explain your work, as this will demonstrate your ability to communicate effectively with cross-functional teams.
