REGENXBIO is an exceptional place to work. You'll have the opportunity to collaborate with some of the best and the brightest people, touch amazing science, and be a part of extraordinary plans. Our core values: Trust, Accountability, Perseverance, and Innovation drive everything we do. We aim to bring these values to life every day with all that we do, and we believe that what we do matters - to patients, to their families, and to their communities.
The Opportunity
As the Senior Manager, Statistical Programming, you will be responsible for leading Statistical Programming efforts at REGENXBIO which includes primary and/or validation programming for assigned clinical trials. Additionally, your responsibilities can include the assigning and tracking of work for more junior programmers.
The OpportunityAs the Senior Manager, Statistical Programming, you will be responsible for leading Statistical Programming efforts at REGENXBIO which includes primary and/or validation programming for assigned clinical trials. Additionally, your responsibilities can include the assigning and tracking of work for more junior programmers.
What You'll Be Doing
Provides leadership/expertise in day-to-day statistical programming in support of ongoing projects
Develops and/or validates SAS programs to generate SDTM/ADaM datasets following industry standards, regulatory requirements, and statistical instructions
Develops and/or validates SAS programs to generate statistical output (e.g. TLFs) of clinical trial data as specified in the Statistical Analysis Plan (SAP), as required for regulatory and safety review reasons (i.e. DSUR or IDMC deliverables), and for ad hoc analysis as requested
Documents data and programming information in accordance with SOPs, guidelines and industry standards
Manages timelines for statistical programming activities
Assists the Head of Statistical Programming in developing templates for derived dataset specifications, programming specifications, and other supporting documents
Develops SAS macros, templates and utilities for reporting and data cleaning
Oversees and manages Contract Research Organizations (CROs)
Develops and tests SAS codes for clinical trial database logic checks
Assign tasks to and monitor timelines for junior programmers
It is imperative that REGENXBIO employees embody our core values by working collaboratively, building strong relationships and using clear communication to meet shared objectives
We set our employees up for success. To be successful in this role and help us achieve our goals, we are looking for someone with the following skills and qualifications:
Bachelor’s Degree in Computer Science, Statistics, Mathematics, or a related scientific discipline required
Minimum 8 years of experience in statistical programming in a clinical trial environment
SAS programming at an expert level
Understanding of the drug development process and the functions and roles in a Pharmaceutical/Biotech clinical organization
Excellent knowledge of regulatory requirements as related to statistical programming (e.g., CDISC standards, 21 CFR Part 11, FDA requirements, electronic submission standards, etc.)
Excellent knowledge of concepts related to statistical programming (e.g., coding dictionaries, annual reporting, EDC systems, etc.)
Outstanding verbal and written communication skills
Ability to effectively project manage and assign tasks to other programmers
Ability to build successful relationships and interact at the project team level
Why should you apply?
By joining REGENXBIO, you will have the opportunity to be a part of a growing company, with an incredible team, who is passionate about developing novel AAV gene therapies for patients in need.
We offer a comprehensive and competitive benefit & compensation package which includes market-competitive salaries, an annual bonus program, education assistance, retirement plan with employer match, stock options at all levels, summer hours and more! The estimated compensation range for this role is $140,000 to $193,000 annually. The actual salary offered to the final candidate depends on a number of factors such as relevant work experience, skills, education, and years of experience.
In addition, professional development is important to us. By joining our team, you’ll have the opportunity to be exposed to challenging projects and have access to development resources to help you grow personally and professionally.
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