Remote Pharmacovigilance Associate Jobs (NOW HIRING)

The Associate Director, Biostatistics & AI is a senior individual contributor and emerging people leader responsible for the delivery of high-quality statistical analyses and for designing, building, and embedding AI/ML interfaces into the day-to-day workflows of the biometrics function. This role sits at the intersection of pharmaceutical statistical science and applied AI engineering - and is the primary internal resource for setting up, validating, and governing AI tooling in a GxP-compliant environment.

A successful candidate will bring either deep pharmaceutical biometrics expertise with growing AI/ML skills, or strong AI/ML engineering experience with meaningful exposure to clinical or life sciences data. In either case, they will have the drive and aptitude to rapidly bridge both domains. They will work across cross-functional teams including Clinical Development, Regulatory Affairs, Medical Affairs, and Pharmacovigilance, and will manage CRO statisticians and programmers on assigned programs.

Responsibilities

Pharmaceutical Biostatistics

    Apply appropriate statistical methodologies supporting medical insights, value demonstration, safety monitoring, and lifecycle management

    Contribute to statistical design, analysis, and reporting for Phase II-IV clinical trials, including adaptive designs, Bayesian methods, and estimands under ICH E9(R1)

    Contribute to NDA, BLA, MAA, and other global regulatory submissions as lead or co-statistician; support responses to health authority queries

    Stay current with FDA, EMA, and ICH guidance on statistical methodology, and real-world evidence (RWE)

AI Interface Setup & Implementation

    Design and implement AI/ML interface environments connecting biometric platforms (SAS, R, Python) with enterprise LLM APIs, RAG pipelines, and clinical data repositories

    Build, test, and iterate on AI-powered tools for SAP drafting, TFL automation, anomaly detection, protocol deviation identification, and regulatory document support

    Establish and maintain MLOps pipelines for model development, validation, deployment, and monitoring within a GxP-compliant, audit-ready framework

    Implement AI governance standards including explainability (SHAP/XAI), bias assessment, and 21 CFR Part 11 / EU Annex 11 compliant documentation

    Evaluate and deploy AI-powered automation for CDISC mapping, data cleaning, and submission package preparation

    Partner with IT and third-party vendors to integrate AI tools with EDC, CTMS, RTSM, and pharmacovigilance systems

Cross-Functional Collaboration & CRO Oversight

    Translate statistical and AI concepts into clear, actionable insights for medical, regulatory, and commercial stakeholders

    Partner with Clinical Development, Regulatory Affairs, Medical Affairs, and Pharmacovigilance to align biometrics and AI deliverables with program timelines

    Develop and maintain SOPs, work instructions, and best practices for biostatistics, AI tooling, and statistical programming

Where You'll Work

This is a U.S.-based remote role. Quarterly visits to our San Francisco, CA office, or as needed based on program requirements.

Who You Are

    PhD or Master's degree in Biostatistics, Statistics, Computer Science, Artificial Intelligence, Data Science, or a closely related quantitative field

    We recognize that strong candidates may come from different professional paths. We welcome applications from either of the following profiles:

Track A - Biostats-First with Applied AI Skills

5+ years (PhD) or 7+ years (Master's) of pharmaceutical biostatistics experience in drug development, biotech, or CRO settings

Expert-level proficiency in SAS and/or R; working knowledge of Python for data science or scripting

Demonstrated exposure to AI/ML tools - such as LLM APIs, prompt engineering, or automation scripting - with a strong interest in expanding these capabilities in a GxP environment

Deep knowledge of CDISC standards (SDTM, ADaM, Define-XML) and regulatory submission workflows; experience contributing to NDA/BLA/MAA preferred

Track B - AI/ML-First with Pharma/Biostats Exposure

3+ years of hands-on AI/ML engineering experience, including building and deploying LLM-powered tools, RAG pipelines (LangChain or equivalent), agentic workflows, and/or MLOps infrastructure

Strong Python proficiency for AI/ML development; working familiarity with SAS and/or R in a statistical or data science context

Meaningful exposure to clinical or life sciences data - e.g., working with clinical trial datasets, CDISC standards, pharmacovigilance data, or regulated environments (GxP/21 CFR Part 11) - with eagerness to deepen this domain expertise

Foundational understanding of statistical concepts (e.g., hypothesis testing, regression, survival analysis) relevant to clinical development

All Candidates

Strong knowledge of statistical methodologies, current drug development trends, and regulatory environments (FDA, EMA, ICH)

Excellent written and verbal communication skills, with the ability to engage both technical and non-technical audiences

Ability to work as part of a cross-functional team in a fast-paced environment and collaborate effectively with external partners and vendors

You demonstrate genuine curiosity and initiative in building and deploying AI-powered tools - not just adopting them

Rewarding Those Who Make the Mission Possible

We have high expectations for our team members. We make sure those working hard for patients are rewarded and cared for in return.

Financial Benefits

         Market leading compensation

         401K with 100% employer match on first 3% & 50% on the next 2%

         Employee stock purchase program

         Pre-tax commuter benefits

         Referral program with $2,500 award for hired referrals

Health & Wellbeing

         Comprehensive health care with 100% premiums covered - no cost to you and dependents

         Mental health support via Spring Health (6 therapy sessions & 6 coaching sessions)

         Hybrid work model - employees have the autonomy in where and how they do their work

         Unlimited flexible paid time off - take the time that you need

         Paid parental leave - 4 months for birthing parents & 2 months for non-birthing parents

         Flex spending accounts & company-provided group term life & disability

         Subsidized lunch via Forkable on days worked from our office

Skill Development & Career Paths

         People are part of our growth and success story - from discovery to active drug trials and FDA pipelines, there are endless opportunities for skill development and internal mobility

         We provide career pathing through regular feedback, continuous education and professional development programs via LinkedIn Learning, LifeLabs, Spring Health & BetterUp Coaching

         We celebrate strong performance with financial rewards, peer-to-peer recognition, and growth opportunities