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Associate Director​/Senior Manager, Data Science; Statistical Programming

Job in South San Francisco, San Mateo County, California, 94083, USA
Listing for: Initial Therapeutics, Inc.
Full Time position
Listed on 2026-05-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Scientist, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Associate Director/Senior Manager, Data Science (Statistical Programming)

Company Overview

Alumis Inc. is a precision medicines company with the mission to transform the lives of patients with autoimmune diseases.

Location

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.

Responsibilities
  • Develop and deliver data science analyses to support clinical development, regulatory submissions, publications, and exploratory analyses.
  • Partner with Biostatistics to support innovative analyses (e.g., simulations, external controls, RWE integration, predictive analytics using ML/GenAI models).
  • Ensure alignment between exploratory analytics and CDISC-based submission deliverables; maintain documentation for inspection readiness.
  • Support analysis of emerging data types (e.g., biomarkers, digital endpoints, real‑world data, text, imaging), ensuring interpretability and quality.
  • Contribute to responses to regulatory queries and preparation of submission materials involving advanced analytics.
  • Develop and maintain analysis workflows using SAS and/or open‑source tools (R/Python), balancing innovation with compliance.
  • Build reusable tools, macros, templates and pipelines to improve efficiency, reproducibility, and scalability.
  • Contribute to reproducible analysis pipelines (e.g., version control, data engineering, pipeline automation).
  • Support development of dashboards and visualizations (e.g., Shiny, Plotly) to communicate insights effectively.
  • Apply data science methods to improve study execution and operational insights (e.g., enrollment trends, data quality signals, feasibility).
  • Partner with Biostatistics, Data Management, Clinical Operations, and other stakeholders to support study and program deliverables.
  • Participate in the review of key study documents for programming and analysis alignment.
  • Serve as a point of contact for programming and data science activities with internal teams and CRO partners.
  • Translate analytical outputs into clear, actionable insights for technical and non‑technical audiences.
  • Ensure all programming and data science deliverables meet regulatory, industry, and company standards (CDISC, GxP, 21 CFR Part 11).
  • Contribute to the development and continuous improvement of programming and data science standards, processes, and SOPs.
  • Stay current on evolving regulatory movement related to data science, AI/ML, and analytics in drug development.
Leadership & Scope

Senior Manager: Lead data science activities at the study level; operate as a hands‑on contributor delivering analyses and tools.

Associate Director: Provide program-level oversight across multiple studies; influence data science strategy and cross‑functional alignment. Contribute to shaping data science standards, tools, and longer‑term capabilities within Statistical Programming. Mentor junior team members and guide CRO partners.

Ideal Candidate
  • Strong experience in SAS, R or Python for data analysis and visualization.
  • Experience in data science methods and tools: machine learning models and model development lifecycle, GenAI/Agentic AI application development as a plus.
  • Experience supporting clinical development and regulatory submissions in a pharma/biotech or CRO setting.
  • Hands‑on experience with CDISC standards (SDTM, ADaM) and integration with exploratory analytics.
  • Experience working with diverse data types (clinical, biomarker, or real‑world data) and data engineering pipeline development.
  • Experience with reproducible research practices (e.g., version control, structured workflows).
  • Ability to analyze complex datasets and translate findings into actionable insights.
  • Strong communication and collaboration skills across technical and non‑technical stakeholders.
  • Detail‑oriented with a strong commitment to quality and accuracy.
  • Therapeutic experience in autoimmune/immunology is a plus.
Associate Director Expectations (Additional)
  • Experience influencing program-level strategy across multiple studies or indications.
  • Demonstrated ability to drive cross‑functional alignment and contribute to analytical strategy.
  • Experience mentoring team members and overseeing CRO/vendor…
Position Requirements
10+ Years work experience
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