Job Title – Graph Engineer (Neo4j, Python, Cloud)
*Please note this role is not able to offer visa transfer or sponsorship now or in the future*
About the Role
We're looking for a Graph Engineer to join our Data & Knowledge Engineering team supporting Pharma R&D initiatives spanning drug discovery and clinical documentation. You'll design, build, and maintain graph-based data models that connect scientific, experimental, and regulatory data — enabling researchers and scientists to uncover relationships across compounds, targets, trials, and documents that traditional relational systems struggle to surface.
In this role, you will:
- Design and implement graph data models that represent entities and relationships across drug discovery pipelines (targets, compounds, assays, pathways) and clinical documentation (trials, protocols, adverse events, regulatory submissions).
- Build and maintain ETL/ELT pipelines in Python to ingest structured and unstructured data from source systems (LIMS, ELN, clinical trial databases, document repositories) into Neo4j.
- Develop and optimize Cypher queries and APIs that power search, recommendation, and knowledge-discovery features used by scientists and clinical documentation teams.
- Support entity resolution and linkage across disparate data sources — connecting compounds, genes, diseases, and clinical documents into a unified knowledge graph.
- Deploy and manage graph infrastructure on cloud platforms, including provisioning Neo4j instances (AuraDB or self-managed), monitoring performance, and managing access controls in compliance with data governance policies.
- Collaborate with cross-functional stakeholders — data scientists, clinical documentation specialists, and R&D researchers — to translate domain requirements into scalable graph schemas and queries.
- Ensure data quality, lineage, and compliance with pharma industry standards (GxP, HIPAA where applicable) throughout the graph data lifecycle, including documentation of data models and pipeline logic for audit readiness.
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
· 3–4 years of hands-on experience with Neo4j (or comparable graph database) — schema design, Cypher query writing, and performance tuning
· Strong Python skills for data pipelines, ETL, and API development (pandas, py2neo/neo4j-driver, FastAPI/Flask a plus)
· Working experience with at least one major cloud platform (AWS, Azure, or GCP) storage, compute, and managed database services
· Understanding data modeling concepts (relational-to-graph translation, ontology/taxonomy basics)
· Familiarity with version control (Git) and CI/CD basics
· Bachelor’s degree in computer science, Bioinformatics, Data Engineering, or related field
Salary and Other Compensation:
Applications will be accepted until October 29, 2026.
The annual salary for this position is between $88,000 - $135,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
· Medical/Dental/Vision/Life Insurance
· Paid holidays plus Paid Time Off
· 401(k) plan and contributions
· Long-term/Short-term Disability
· Paid Parental Leave
· Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
À savoir avant de postuler
- Autorisation de travail: Cognizant ne prendra en considération que les candidats à ce poste qui sont légalement autorisés à travailler au Canada sans avoir besoin d'un parrainage de l'employeur, aujourd'hui ou à l'avenir.
- Mesures d’adaptation: Si vous avez un handicap qui nécessite des mesures d’adaptation raisonnable pour effectuer une recherche d’emploi ou poser une candidature, veuillez envoyer un courriel à [email protected] avec votre demande et vos coordonnées.
- L’IA dans notre processus de recrutement: Nous utilisons des outils d'intelligence artificielle (IA) pour trier et évaluer les candidatures efficacement. Notre équipe examine ensuite les candidatures et décide qui passe à l’étape suivante.
- Poste à pourvoir: Sauf indication contraire, ce poste est actuellement vacant et nous cherchons à le pourvoir.
- Exigences linguistiques: Nous demandons à tous les candidats de posséder une connaissance de base de l’anglais afin de faciliter les communications internes. Pour les postes au Québec, la capacité à communiquer efficacement en anglais est requise car vous fournirez des services à et collaborerez avec des parties prenantes anglophones situées hors de la province.
- Inclusion: Cognizant est un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Votre candidature et votre dossier ne seront pas examinés en fonction de la race, de la couleur, du sexe, de la religion, des croyances, de l'orientation sexuelle, de l'identité de genre, de l'origine nationale, du handicap, des renseignements génétiques, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée par les lois fédérales, provinciales ou locales.
À propos de Cognizant
Cognizant (NASDAQ: CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif: améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus: cognizant.ai ou @cognizant.
