Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A global management consulting and technology organization focused on improving healthcare and life sciences outcomes brings together data, science, technology, and human ingenuity to develop solutions for complex business and scientific challenges. The organization works collaboratively with clients to create customized strategies and technology solutions that generate measurable value across critical areas of their businesses.
Key Responsibilities
- Partner with scientists, business stakeholders, and IT teams to translate scientific workflows and research needs into technical designs and practical solutions.
- Define conceptual and logical data models, metadata standards, integration patterns, and system architecture components supporting research data management and analytics.
- Lead defined implementation workstreams from design through deployment, ensuring solutions align with business needs, scientific workflows, and enterprise technology standards.
- Apply hands-on experience with pharmaceutical datasets, cloud platforms, and cross-system integrations to improve research technology ecosystems.
- Support research IT strategy, software development lifecycle, and roadmap development by providing technical recommendations, solution options, and implementation plans.
- Collaborate with scientists, data engineers, architects, business partners, and project managers to integrate research technology and analytics into broader project objectives.
- Translate scientific and business needs into structured technical requirements, solution designs, and roadmap inputs.
- Support the design and implementation of ETL/ELT pipelines, cloud-native data platforms, APIs, and cross-system integrations.
- Contribute to research data management initiatives, including data modeling, metadata strategy, FAIR data principles, and information architecture across biopharmaceutical research domains.
- Support client presentations and readouts by clearly communicating technical findings, solution recommendations, and next steps.
- Mentor junior team members, share knowledge across teams, and contribute to a collaborative, high-quality delivery environment.
Required Qualifications
- Bachelor’s degree required; a Master’s degree is strongly preferred in Computer Science, Data Science, Biomedical Engineering, Health Informatics, or a related life science field.
- Advanced degrees, including an MS or PhD in a scientific discipline with data or technology exposure, are advantageous.
- At least 2.5 years of relevant professional experience in research technology, data platforms, pharmaceutical technology, consulting, biotechnology, pharmaceuticals, or related environments.
- Hands-on experience working with pharmaceutical datasets, cloud platforms, and cross-system integrations.
- Experience owning solution design components, including data models, integration patterns, technical requirements, or architecture documentation.
- Experience bridging scientific and IT stakeholders and translating scientific workflows into technical solutions.
- Experience with conceptual and logical data modeling, system architecture, metadata standards, and information architecture.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Understanding of RESTful APIs, ETL/ELT pipelines, and cross-system integration design.
- Experience with lakehouse and cloud-native data platforms such as Databricks and Snowflake.
- Understanding of research data management and FAIR principles.
- Ability to interpret and apply enterprise architecture and engineering standards.
- Knowledge of research information management and analytics applications such as research LIMS systems, ELN platforms, Certara, Schrödinger, GeneData, Watson, or similar platforms is preferred.
- Knowledge and experience in scientific data modeling or information architecture engineering across biopharmaceutical research domains.
- Strong commitment to quality and client satisfaction.
- Excellent communication, presentation, and stakeholder management skills, with the ability to engage effectively with scientific, business, and IT audiences.
- Passion, curiosity, and a growth mindset with a strong commitment to an open and collaborative working environment.
- Fluency in English.
- Client-first mentality.
- Strong work ethic.
- Collaborative spirit and problem-solving approach.
Disclaimer
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- No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
- No Client Relationship: This company is not a client of SpringCube unless stated.
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