Associate Director, Biostatistics
About this opportunity
This is what you will do:
The Associate Director, Biostatistics has sufficient experience working as a statistician in the pharmaceutical industry to independently perform and lead statistical work within a project, an indication within a more complex project. This individual is able to lead, and direct biostatistics work either in house or partnering with CROs to ensure delivery to quality and time.
You will be responsible for:
The Associate Director, Biostatistics may work as a lead statistician:
For a project or indication in clinical or preclinical therapeutic areas
Leading the delivery and oversight on a multiple studies/indication within a project, potentially as a Global Project Statistician for a standard drug project
Contributing to statistical methodological advances
Accountabilities for supporting projects directly include:
Lead the statistical thinking and contributions to the delivery of studies, development plans, regulatory strategy, health technology assessment and/or commercial activities
Direct project work, including statistical staff and/or CRO partners, to ensure delivery to standards, quality, and time
Develop design options and provide high quality decision support to enable the business to make informed decisions about a study or project
Quantify the benefit, risk, value, and uncertainty of the emerging asset/product profile
Investigate and apply novel statistical approaches, for relevant statistical issues and/or regulatory guidance and/or value demonstration, including modelling and simulation
Leverage standardization to maximize global data integration and interpretability
Mentor/coach and support the education and training of statistics staff
You will need to have:
3 years’ experience and an MSc/PhD in Statistics, Mathematics (containing a substantial statistical component), or recognized equivalent to stats MSc
Strong knowledge of programming in R and/or SAS
Knowledge of the technical and regulatory requirements related to the role
Excellent communication skills, and ability to build strong relationships
Flexible, well-organized, and possess the ability to work well under pressure
The duties of this role are generally conducted in an office environment. As is typical of an office-based role, employees must be able, with or without an accommodation to: use a computer; engage in communications via phone, video, and electronic messaging; engage in problem solving and non-linear thought, analysis, and dialogue; collaborate with others; maintain general availability during standard business hours.
We would prefer for you to have:
PhD in Statistics/Biostatistics is preferred.
Project management skills
Proficiency in SAS and R languages
Knowledge of Bayesian statistics from theory to computation is a plus.
Date Posted
04-Aug-2026
Closing Date
27-Aug-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
Job details
How this role compares
Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.
We currently track 61 comparable Associate Director Biostatistics & Data Science roles across 17 biopharma companies.
Salary context
22 of 61 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 61 comparable roles
+ 6 more countries
Seniority mix
61 of 61 peers have a known seniority level
Therapeutic area mix
9 of 61 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.