Senior Biostatistics & Data Science Consultant (3–5 years experience)

About Us

Join the adventure at BIP! At BIP , we help leading organizations accelerate digital transformation and innovation. We discover and implement the most innovative and emerging technologies aligned with business strategy, ensuring every investment counts.

We are strengthening our Life Sciences & Data Science practice with a Senior Biostatistics & Data Science Consultant who brings robust technical experience, strong methodological rigor, and the ability to coordinate analytical workstreams within multidisciplinary teams.

This role is designed for a professional ready to take on greater responsibility—combining advanced statistical expertise with leadership, client engagement, and project coordination capabilities.

Your Role

You will work for one of our Fortune 500 clients, a leader in its sector, within a global team and in the field of R&D. Collaborating with research centres and R&D areas in digital technologies and AI, within the Life Sciences Beauty sector.

As a Senior Consultant, you will lead and coordinate statistical and analytical activities across projects while contributing hands-on to the development of high-quality models and workflows. You will guide junior team members, collaborate closely with domain experts, and ensure the methodological integrity of deliverables in scientific and business-driven contexts.

You will also support project managers and engagement leads by structuring workstreams, managing priorities, and contributing to client communication and expectation management.

Key Responsibilities

Lead and oversee statistical analyses, including univariate, multivariate, mixed-effects, and Bayesian models , ensuring methodological rigor.
Coordinate analytical workstreams, defining tasks, timelines, and quality standards for junior and mid-level team members.
Design statistical strategies for missing data , clinical trials analytics, instrumental datasets, and omics pipelines (genomics, proteomics, metabolomics).
Develop scalable, reproducible analytical workflows in R , applying best practices in software development and documentation.
Provide technical leadership in multidisciplinary settings involving biology, engineering, data science, and strategy.
Oversee data extraction, modelling, and transformation activities using SQL, Python, and modern data engineering principles.
Prepare high-quality reports, presentations, and client deliverables with clear, actionable insights.
Participate in client meetings, offering structured communication, methodological guidance, and progress updates.
Support proposal development, internal knowledge creation, and capability building for the practice.
Conduct code reviews and enforce quality and reproducibility standards using Git/GitHub .

Required Skills

Statistical Expertise

Advanced proficiency in multivariate, mixed-effects, and Bayesian modelling .
Strong experience handling missing data using robust statistical approaches.
Demonstrated experience analysing clinical data, instrumental datasets, and/or omics data .
Ability to validate models, challenge assumptions, and ensure methodological soundness.

Technical & Programming Skills

Expert command of R and the Tidyverse ecosystem.
Strong understanding of software engineering best practices : modularity, testing, reproducibility, version control.
Experience leading or reviewing work in Git/GitHub environments.
Proficiency in SQL and intermediate knowledge of Python for data workflows.
(Preferred) Experience with Linux and cloud platforms (AWS, Azure, GCP).

Biological Foundations

Solid understanding of biological systems, including the central dogma and evolutionary theory.
Strong interest in life sciences, biotechnology, and omics-driven analytics.

Soft Skills & Leadership

Proven ability to coordinate workstreams and mentor junior profiles.
Strong organizational skills and the ability to manage parallel tasks under pressure.
Clear, concise communication of complex statistical concepts to technical and non-technical audiences.
Confidence in navigating multi-opinionated, multidisciplinary environments.
Commitment to scientific rigor , critical thinking, and analytical excellence.

Consulting & Business Skills

Experience leading discussions in client meetings and managing expectations.
Ability to translate analytical outputs into business-oriented insights and recommendations.
Strong PowerPoint skills and ability to build structured, impactful client presentations.

What We Offer

The opportunity to develop a professional career by leading high-impact scientific and analytical projects with Tier 1 organizations worldwide , while being part of one of the most cutting-edge teams in Data and AI solutions globally
A growth path toward roles involving project leadership, technical direction, or domain specialization .
A dynamic environment that values initiative, innovation, and methodological excellence.
Access to BIP’s learning path, ecosystem, mentorship programs, and cross-practice collaborations.

Bip Iberia , en compromiso y coherencia con la Ley Integral para la Igualdad de Trato y la No Discriminación , tiene abiertas todas sus posiciones a cualquier persona debidamente cualificada para cubrir la vacante, independientemente de su edad, discapacidad, género, orientación sexual o política, raza o creencia.

BUSINESS INTEGRATION PARTNERS CONSULTING IBERIA, S.L. , con NIF B84701903 y contacto [email protected] , tratará los datos recibidos al aplicar su candidatura como Responsable del tratamiento, con la finalidad de gestionar el proceso de selección actualmente activo conforme al artículo 6.1.b) del GDPR, así como para futuros procesos si su perfil fuera de interés, en base al consentimiento del artículo 6.1.a).

BUSINESS INTEGRATION PARTNERS CONSULTING IBERIA, S.L. no comunicará sus datos a terceros salvo obligación legal. El periodo de conservación del CV será de un máximo de 1 año , tras el cual será eliminado.

Puede ejercer sus derechos de acceso, rectificación, supresión, oposición, limitación al tratamiento, portabilidad, y a no ser objeto de decisiones automatizadas, o consultar información adicional sobre el tratamiento de sus datos en el correo: [email protected] .