Job Description
Head of Analytical Data & Statistics
Location: Boston, MA, USA
Job Type: Full-time
Work Model: Hybrid
Salary: $177,000 – $278,080 per year
We are seeking an experienced Head of Analytical Data & Statistics to lead analytical data, statistics and data governance capabilities within a biotechnology or pharmaceutical R&D environment.
This senior leadership role will establish statistical and analytical standards, strengthen data quality and governance, and embed advanced analytics into experimental design, analytical development and strategic decision-making.
You will lead a multidisciplinary team while partnering closely with Analytical Development, Quality, Regulatory, Digital, Informatics, Manufacturing and other cross-functional stakeholders.
Key Responsibilities
- Lead and develop the Analytical Data & Statistics function, including hiring, coaching, capability development and performance management
- Establish and continuously improve statistical standards, analytical methodologies, data governance frameworks and reporting practices
- Develop the strategy and roadmap for how analytical data and statistics support research, development and portfolio decisions
- Oversee data architecture, collection, validation, quality control, metadata and data-integrity processes
- Embed statistical analysis and analytics into experimental and assay design and key project milestones
- Develop and govern statistical analysis plans, acceptance criteria and analytical frameworks for method development, qualification, validation and lifecycle management
- Provide statistical and analytical expertise for complex technical and scientific questions
- Present analytical insights, risks and recommendations to senior leadership to support strategic decisions and prioritisation
- Evaluate and implement modern analytics technologies, automation, advanced modelling and AI-assisted analytical approaches where appropriate
- Establish reproducible and scalable analytical workflows, including standards, templates, libraries and validated processes
- Partner with IT, laboratory informatics and data-platform teams to improve integration across LIMS, ELN, CDS and data-lake environments
- Ensure analytical data and statistical practices meet applicable GxP, data integrity and regulatory requirements
- Promote technical excellence through training, peer review, knowledge sharing and communities of practice
- Identify opportunities to improve analytical processes, reduce rework and increase the speed, quality and scalability of data-driven decision-making
Technical & Functional Requirements
- Advanced degree (PhD or Master's) in Statistics, Biostatistics, Data Science, Bioinformatics or a related discipline
- Extensive experience in statistical analysis and data management within the biotechnology or pharmaceutical industry
- Strong experience in Analytical Development (AD) within biologics and/or small-molecule environments
- Deep knowledge of applied statistical methods, including:
- Design of Experiments (DoE)
- Regression and multivariate analysis
- Variance components
- Measurement system analysis
- Stability trending
- Comparability assessments
- Strong understanding of analytical data generated through chromatography, electrophoresis, mass spectrometry, potency assays and bioassays
- Experience defining statistical analysis plans, data standards and fit-for-purpose acceptance criteria
- Proficiency with R, Python, SAS or equivalent statistical/analytics tools
- Experience with reproducible analytical workflows, version control and code review
- Strong data visualisation and dashboarding capabilities
- Familiarity with LIMS, ELN, CDS, data lakes and analytical informatics ecosystems
- Strong understanding of GxP, ALCOA+, audit trails and computerized-system validation
- Experience applying statistical and analytical methods to support method development, qualification, validation and lifecycle management
- Knowledge of AI/ML and modern analytical technologies is advantageous
Leadership & Strategic Skills
- Proven experience leading and developing high-performing analytics, statistics or data teams
- Ability to establish a clear analytical data strategy and align resources, priorities and technology roadmaps with business objectives
- Strong cross-functional leadership and stakeholder-management skills
- Ability to influence scientific and technical teams and drive adoption of data-driven ways of working
- Excellent communication skills, with the ability to translate complex statistical analysis into clear, decision-ready recommendations
- Strong scientific judgement and ability to communicate uncertainty, risk and analytical limitations
- Strategic, pragmatic and commercially aware approach to prioritisation and resource allocation
- Comfortable making high-impact decisions within a regulated, matrixed environment
Cross-Functional Collaboration
You will work closely with:
- Analytical Development: Study and assay design, analytical questions, data interpretation and milestone decisions
- Quality & Regulatory: Data integrity, inspection readiness and submission-ready statistical analysis
- Digital & IT: Data platforms, automation and analytical informatics
- Laboratory Informatics: LIMS, ELN, CDS and data integration
- Manufacturing / MSAT: Process and analytical data requirements
- Senior Leadership: Portfolio strategy, prioritisation, resource allocation and risk-based decision-making
Ideal Background
The ideal candidate combines deep statistical expertise, pharmaceutical/biotechnology experience and proven people leadership.
You should be comfortable operating at both strategic and technical levels — setting the direction for an analytical data function while also providing expert guidance on complex statistical, data-governance and analytical-development challenges.
English: Fluent
Salary: $177,000 – $278,080 per year, depending on qualifications, experience, skills and location.
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