Senior Data Strategy & Analytics Specialist

Roche; Boston (MA); Sur place; USD 107 000 - 199 000; Plein temps

Résumé du poste

Roche is seeking a Senior Data Strategy & Analytics Specialist in Boston to design and execute end-to-end data strategies and analytics for decision-making and asset strategy. You will build robust data workflows, perform cohort extractions across multi-modal data, and mentor junior team members.

You will translate scientific and operational questions into reproducible analytical pipelines, applying advanced statistics and data standards to support regulatory filings and medical decisions.

Qualifications

• Master’s or PhD in Quantitative Health Sciences, Data Science, or closely related field.
• 3+ years of experience with structured healthcare data (RWD, clinical trial data, observational research).
• Advanced proficiency in R or Python and SQL for complex querying and wrangling.
• Knowledge of metadata management or data mapping approaches.
• Ability to translate research or operational needs into data requirements and workflows.
• Independent thinker with sound decision-making and strong communication.
• Strong strategic agility and problem-solving abilities.

Responsabilités

• Design and execute end-to-end data strategies and complex analyses across therapeutic areas or molecule portfolios.
• Lead cohort extractions, data transformations, and analytic pipelines using multi-modal RWD and trial assets.
• Mentor junior colleagues to raise technical execution and reporting quality.
• Collaborate with cross-functional study teams to ensure reproducible analytical workflows and QC routines.
• Advance data governance, semantic mappings, and data harmonization using healthcare data models.

Connaissances

R

Python

SQL

Metadata management

Data mapping

Data workflows

Strategic thinking

Communication

Formation

Master’s or PhD in Quantitative Health Sciences

Outils

Git/GitHub

CI/CD

Containerized environments

AI tooling (Copilot, Claude Code)

Description du poste

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

The Opportunity

The Senior Data Strategy & Analytics Specialist plays a key role in designing and executing end-to-end data strategies and complex analytics that enable decision-making, asset strategy, and insight generation across therapeutic areas or molecule portfolios. Working under the Data Strategy & Analytics Lead, you act as a technical and strategic partner across cross-functional study teams—translating complex clinical and translational questions into robust analytical code, cohort extractions, and reproducible data workflows using multi-modal real-world data (RWD) and clinical trial data for secondary use (SUD). As a senior specialist, you bring high technical autonomy, analytical rigor, and thought partnership. You drive best-in-class engineering and statistical principles, evaluate novel data assets, and mentor junior colleagues to elevate analytical standards across RWCDS. The Senior Data Strategy & Analytics Specialist plays a key role in designing and executing end-to-end data strategies and complex analyses that enable decision-making, asset strategy, and insight generation across therapeutic areas or molecule portfolios. Working under the Data Strategy & Analytics Lead, you partner with cross-functional teams—translating scientific, clinical, and translational questions into robust analytical code, cohort extractions, and reproducible pipelines using multi-modal real-world data (RWD) and clinical trial assets for secondary use (SUD). You also contribute to the translation of scientific and business needs into analytical frameworks and data-driven solutions. This role demands advanced data science skills, strategic problem solving, and a commitment to elevating team standards through mentorship and technical leadership. You independently design and execute advanced cohort extractions, complex data transformations, and observational or exploratory analyses across diverse real-world (EHR, Claims, etc.), secondary clinical trial, and operational multi-modal data assets You lead the translation of complex scientific, translational, or business questions into robust cohort definitions, custom derived variables, and analysis-ready datasets You champion and enforce state-of-the-art coding standards, version control workflows, automated testing, and structured QC routines to guarantee fully reproducible, auditable analytical pipelines across the team You synthesize and communicate complex analytical outputs, cohort dynamics, and study findings to project teams and strategic decision-makers, delivering high-impact evidence to inform regulatory filings, medical decisions, and asset strategy You act as a strategic analytical partner to RWD Scientists and cross-functional study leads during early study framing, protocol development, and Integrated Evidence Plan (IEP) creation, advising on data feasibility, methodological rigor, and analytical strategy You establish reusable code libraries, analytical frameworks, and best-practice templates for the internal repository, actively mentoring junior team members to elevate technical execution You lead the evaluation and curation of fit-for-purpose real-world data sources, performing comprehensive data quality assessments, complex terminology mappings, and schema transformations for secondary data use You partner with study teams and central data engineering functions to drive requirement definition, define and validate complex derived variables (e.g., ADaM, ARDs), and architect clinical trial datamarts for secondary use You lead data harmonization and multi-modal integration efforts in partnership with data engineering and governance teams, applying healthcare common data models (OMOP, CDISC) and structured mappings across clinical trial and real-world assets You analyze complex data architectures, oversee data lineage documentation, and establish structured, compliant, and accessible data assets that support long-term data strategy, FAIR principles, and reusability You champion the safe adoption of modern AI coding tools and LLM assistants (e.g., Claude Code, Copilot) to accelerate analytical workflows, while establishing practices to safeguard scientific rigor and code quality.

Who you are:

• You hold a Master’s or PhD in Quantitative Health Sciences (e.g., Biostatistics, Epidemiology), Data Science, or a closely related quantitative field
• You have 3+ years of experience working with structured healthcare data (real-world data, clinical trial data, or observational research) in a biopharmaceutical, academic research, or healthcare setting
• You possess advanced, demonstrated proficiency in R or Python, as well as strong working expertise in SQL for complex database querying and data wrangling
• You have working knowledge of metadata management, data standardization, or data mapping approaches
• You have the ability to translate research or operational needs into data requirements and workflows
• You have the capacity for independent thinking and ability to make decisions based upon sound principles
• You exhibit excellent strategic agility including problem-solving and critical thinking skills, and agility that extends beyond technical domain
• You demonstrate respect for cultural differences when interacting with colleagues in the global workplace
• You possess excellent verbal and written communication skills, specifically in the areas of presentation and writing, with the ability to explain complex technical concepts in clear language

Preferred Qualifications:

• Deep domain expertise or prior research experience in cardiovascular, renal, or metabolic (CVRM) disease areas, clinical endpoints, and disease-specific biomarkers
• Advanced understanding of observational study designs, confounding adjustment (propensity scores, matching), censoring, time-to-event or survival analysis, and descriptive biostatistics
• Practical experience building, transforming, or curating datasets using the OMOP Common Data Model or CDISC standards (SDTM, ADaM)
• Advanced knowledge of medical coding classifications and ontologies (e.g., ICD-9/10, SNOMED CT, RxNorm, LOINC, CPT, HCPCS) and their real-world mapping nuances
• Practical experience with Git/GitHub, CI/CD, containerized environments, and safe adoption of AI developer tooling (e.g., GitHub Copilot, Claude Code) to enhance productivity
• Demonstrated track record of acting as a consultative partner to clinical, observational, or translational research scientists in shaping study questions, evidence generation, and analytical strategy

Location

This position is based in Boston, MA Relocation benefits are not available for this posting.

Salary

The expected salary range for this position based on the primary location of Massachusetts is $107,400.00 - $199,400.00 USD Annual. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

Who We Are

Genentech, a member of the Roche group and founder of the biotechnology industry, is dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. To solve the world's most complex health challenges, we ask bigger questions that challenge our industry and the boundaries of science to transform society. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis. The next step is yours.