Director, Statistical Programming
Company: Alumis Inc.
Location: South San Francisco
Posted on: December 31, 2025
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Job Description:
Alumis Inc. is a precision medicines company with the mission to
transform the lives of patients with autoimmune diseases. Even with
treatment innovations of the last two decades, many patients with
immunologic conditions continue to suffer - our goal is to
fundamentally change the outcomes for these patients. We are
seeking an experienced Statistical Programming Director to lead
programming strategy, execution, and oversight across one or more
drug development programs. This role is accountable for ensuring
high-quality programming deliverables in accordance with SOPs,
CDISC standards, and global regulatory requirements. The Director
will provide hands-on technical leadership, manage internal and
external programming resources, and partner cross-functionally to
support submissions, publications, and study delivery. This role is
ideal for someone who thrives at the intersection of regulatory
rigor and modern data science technologies — with opportunities to
shape how we integrate dynamic visualization, automation, and
open-source & AI/ML tools into a high-quality submission and
evidence generation environment. Essential Responsibilities:
Program Leadership & Strategy Lead statistical programming
activities at the study, indication, or program level, including
ISS/ISE. Develop and execute programming strategies to support
regulatory submissions, publications, ad hoc and exploratory
analysis, and internal/external communications. Ensure programming
work adheres to SOPs, CDISC standards as applicable, and regulatory
expectations. Strong ability to communicate analytical results to
non-technical stakeholders and translate findings into actionable
scientific or business decisions. Technical Excellence & Oversight
Provide technical leadership on programming conventions, standards,
specifications, and solutions to complex data challenges. Oversee
the development and implementation of programming standards,
reusable packages utilities, and process improvements. Proficiency
in R, Python, and/or other programming languages and visualization
techniques. Knowledge of modern version control systems and
open-source software development techniques Expertise in
transforming and analyzing various data types related to clinical
trials, including digital health, genomic and biomarkers Ability to
analyze complex clinical, preclinical, or real-world datasets to
generate insights that inform drug development strategy
Cross-Functional Collaboration Partner closely with Statisticians,
Data Management, Clinical Operations, Medical Monitoring, and
Medical Writing. Participate in review of key study documents
(e.g., SAPs, CRFs, DMPs, database specs, DMC charters). Serve as a
programming point of contact for internal teams and external CRO
partners. Process, Compliance & Quality Drive best practices and
continuous improvement initiatives, including SOP development and
CDISC implementation. Understanding of regulatory and compliance
standards relevant to data analysis in pharma (e.g., GxP, data
integrity, audit readiness) Team Leadership Lead and mentor
statistical programming staff and oversee CRO/vendor programmers.
May oversee or manage a programming team responsible for
study-level and project-level deliverables. Innovation &
Modernization Initiatives Lead the continued evolution of our
computing environment to incorporate automated workflows, modular
code, and modern visualization tools. Drive initiatives for
leveraging programming software such as R and R shiny, python, and
open-source environments to enable dynamic data exploration.
Champion reproducible pipelines using tools such as Git, Quarto,
and R Markdown. Contribute to internal packages, re-usable code
libraries, and process automation to accelerate insights and
submissions. Explore GenAI, AI/ML applications that will optimize
workflow and evolve evidence insight generations The Ideal
Candidate: Advanced degree (MS or PhD) in statistics, computer
science, life sciences, or a related field strongly preferred, with
a minimum of 8–10 years of statistical programming experience in
drug development. Extensive experience leading programming support
for global regulatory submissions (FDA, EMA, CDE). Prior experience
in early- and late-phase studies with integrated analyses is
strongly preferred. Advanced programming skills in R, Python with
strong knowledge in clinical data visualization and exploration.
Working knowledge in open-source software development environments
Comfortable working in fast-paced, ambiguous environments and
proactively identifying data-driven opportunities. Collaborative
mindset and willingness to mentor team members and contribute to a
culture of knowledge sharing. Demonstrated ability to lead
programming teams and oversee vendor partnerships. Strong
cross-functional communication skills, able to influence and
collaborate effectively. Detail-oriented, meticulous, and committed
to quality and accuracy. This role is located in South San
Francisco, CA, with an on-site presence expected Tuesday through
Thursday. Remote candidates may remain off-site but should be
willing to travel regularly for team collaboration. Alumis Inc. is
an equal opportunity employer. The salary range for this position
is $200,000 USD to $245,000 USD annually. This salary range is an
estimate, and the actual salary may vary based on the Company’s
compensation practices. Alumis compensation packages include
generous stock option grants for all employees as well as an annual
bonus program. Other benefits include: Health insurance premiums
paid at 90% for employee, 80% for dependents Free access to
Genentech Bus & Ferry Share program $100 monthly cell phone stipend
Unlimited PTO for Exempt employees Free onsite gym and a kitchen
stocked with yummy snacks and drinks! We are a hard-working,
collaborative team on a mission to transform patient’s lives and we
aspire to elevate , challenge and nurture one another along the
way.
Keywords: Alumis Inc., Turlock , Director, Statistical Programming, Science, Research & Development , South San Francisco, California
