Senior Biostatistician - Remote (UK) in Manchester
Senior Biostatistician - Remote (UK)

Senior Biostatistician - Remote (UK) in Manchester

Manchester Full-Time 60000 - 80000 £ / year (est.) Home office possible
MMS

At a Glance

  • Tasks: Lead statistical analysis for clinical trials and ensure data quality.
  • Company: Award-winning CRO with a supportive and innovative culture.
  • Benefits: Remote work, competitive salary, and career advancement opportunities.
  • Other info: Join a Great Place to Work certified organisation with excellent employee retention.
  • Why this job: Make a real impact in clinical research while working with a collaborative team.
  • Qualifications: Master's or PhD in statistics with relevant experience and SAS proficiency.

The predicted salary is between 60000 - 80000 £ per year.

Are you looking to join a company where your contributions truly matter, and where you'll be part of a supportive, innovative team? MMS is an award-winning, data-focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work certified organization, recognised for our exceptional culture and industry best employee retention rate. We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS not only maintains an industry-leading customer satisfaction rating but also fosters a collaborative and inclusive work environment where employees can thrive. Join us at MMS and be part of a team that is shaping the future of clinical research.

Senior Biostatistician: Roles & Responsibilities

  • Provides advanced input into statistical sections and overall consistency of clinical study protocols.
  • Develops and reviews statistical analysis plans (SAP). Determines appropriate analyses for clinical endpoints based on input from the protocol and the client.
  • Performs senior-level reviews and is responsible for the datasets and outputs of a project. Ensures consistency with the SAP and reviews for correctness and quality.
  • Works with programming team to provide definitions for analysis/ADaM datasets to be used for final analyses. Develops specifications and reviews datasets based on what is needed for the planned tables, listings and graphs (TLGs).
  • Prepares TLG shells/specifications and programming notes based on SAP and analysis/ADaM datasets.
  • Works with data management team to review data collection (e.g., CRFs) and helps ensure data quality throughout the clinical trial.
  • Performs and/or coordinates the preparation, execution, reporting and documentation of high-quality statistical analysis according to the SAP.
  • Provides high level of support to the programmers and medical writers on all statistical matters according to client requirements.
  • Prepares and reviews statistical methods and results sections for the clinical study report (CSR) with in-house medical writers.
  • Provides support to Data Safety Monitoring Boards (DSMB) by preparing and presenting output as the unblinded statistician.
  • Generates sample size calculations appropriate for the primary endpoint and based on input from the protocol.
  • Generates and reviews randomization schedules per the protocol and randomization specifications.
  • Works with the project management group to ensure timelines are appropriate given the scope of the project.
  • Is familiar with and stays current with the latest industry practices and updated regulatory guidelines.
  • Communicates competently and independently with client to coordinate the statistical and programming considerations of the project.
  • Demonstrates strong understanding of ICH guidelines, as applicable to statistics.
  • Practices good internal and external customer service.

Requirements

  • Master of Science (in statistics or equivalent) with five (5) plus years relevant work experience or PhD (in statistics or equivalent) with two (2) plus years of relevant work experience.
  • Strong knowledge of and experience with SAS (SAS Stat, SAS Base, SAS macros, SAS/ODS, SAS/Graph).
  • Able to be in a hands-on role by digging into data and using SAS to validate datasets and outputs.
  • Excellent mathematical and problem solving skills.
  • Advanced knowledge of the statistical considerations involved in drug development including hands-on experience with clinical trial data.
  • Strong knowledge of study designs and statistical analysis methods (e.g., GLMs, non-parametric methods, survival analysis techniques, general imputation methods, common descriptive stats).
  • Strong familiarity with a variety of clinical data and databases (including EDC systems).
  • Working knowledge of SDTM/ADaM standards (in the absence of ADaM experience, considerable experience working with analysis or derived datasets).
  • At least three (3) years of experience in pharmaceutical industry.
  • Ability to coordinate the analytical aspects of multiple projects or clinical trials at the same time.
  • Proficiency with MS Office applications (e.g., Word, PowerPoint and Excel).
  • Good interpersonal, oral, and written communication skills.
  • Self-motivated, hardworking, dependable, and positive team-oriented personality.
  • Ability to communicate effectively and provide clear directions to Statistical Programmers.

Please consider your application unsuccessful if we do not reach out to you within 14 days of your submission.

Senior Biostatistician - Remote (UK) in Manchester employer: MMS

At MMS, we are dedicated to fostering a supportive and innovative work environment where your contributions truly matter. As a Great Place to Work certified organisation, we offer exceptional employee retention rates, opportunities for professional growth, and a collaborative culture that empowers our team members to thrive in the dynamic field of clinical research. Join us remotely in the UK and be part of a global team that is shaping the future of healthcare through data-driven solutions.
MMS

Contact Detail:

MMS Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Biostatistician - Remote (UK) in Manchester

✨Tip Number 1

Network like a pro! Reach out to your connections in the industry, attend relevant webinars, and join online forums. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Prepare for interviews by researching the company and its culture. Understand their values and how they align with yours. This will help you answer questions more confidently and show that you're genuinely interested in being part of their team.

✨Tip Number 3

Practice your responses to common interview questions, but keep it natural. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you showcase your skills and experiences effectively.

✨Tip Number 4

Don’t forget to follow up after your interview! A simple thank-you email can go a long way in leaving a positive impression. Plus, it shows your enthusiasm for the role and keeps you on their radar.

We think you need these skills to ace Senior Biostatistician - Remote (UK) in Manchester

Statistical Analysis
SAS (SAS Stat, SAS Base, SAS macros, SAS/ODS, SAS/Graph)
Data Validation
Mathematical Skills
Problem-Solving Skills
Clinical Trial Data Analysis
Study Design Knowledge
Statistical Analysis Methods (e.g., GLMs, non-parametric methods, survival analysis techniques)
SDTM/ADaM Standards
Project Coordination
MS Office Proficiency (Word, PowerPoint, Excel)
Interpersonal Communication Skills
Written Communication Skills
Team Collaboration
Client Coordination

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Biostatistician role. Highlight your relevant experience with SAS and clinical trial data, and don’t forget to showcase your problem-solving skills. We want to see how you can contribute to our innovative team!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about biostatistics and how your background aligns with our mission at MMS. Keep it concise but impactful – we love a good story!

Showcase Your Technical Skills: Don’t hold back on your technical expertise! Be specific about your experience with statistical analysis plans and any familiarity with SDTM/ADaM standards. We’re looking for someone who can hit the ground running, so let us know what you bring to the table.

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, you’ll get to explore more about our culture and values while you’re at it!

How to prepare for a job interview at MMS

✨Know Your Stats

Brush up on your statistical knowledge, especially around drug development and clinical trial data. Be ready to discuss specific methodologies you've used in past projects, as this will show your expertise and confidence in the field.

✨SAS Skills Showcase

Since SAS is a key requirement for this role, prepare to demonstrate your proficiency. Bring examples of how you've used SAS in previous roles, particularly in validating datasets and outputs. If possible, be ready to discuss any challenges you faced and how you overcame them.

✨Understand the Company Culture

MMS prides itself on its supportive and innovative culture. Familiarise yourself with their values and think about how your personal work style aligns with theirs. During the interview, share examples of how you've contributed to a positive team environment in the past.

✨Prepare Questions

Have a list of thoughtful questions ready to ask your interviewers. This could include inquiries about their approach to data quality or how they support professional development. It shows you're genuinely interested in the role and the company, which can set you apart from other candidates.

Senior Biostatistician - Remote (UK) in Manchester
MMS
Location: Manchester

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