As a Scientific Data & Technology Strategy Associate Consultant in Discovery , you will apply your technical, data, and research technology expertise to help leading biotech and biopharma clients design and implement scalable solutions that improve and streamline drug discovery workflows.
ZS's Discovery Venture partners with clients to develop and deploy in silico approaches that accelerate the discovery of safer, more effective therapeutics. We work closely with other ZS practices, bringing hands-on scientific expertise to enhance both technology and strategy initiatives. As a Venture within ZS, we continuously develop, test, and refine new approaches to maximize impact for our clients and the patients they serve. This unique position enables us to combine agility and innovation with the resources and knowledge of ZS's 13,000+ global team. ZS is expanding the Discovery Venture and seeking driven, curious, and creative experts to help shape the practice area, collaborate across ZS's R&D teams, and deliver excellent outcomes for clients.
What you'll do :
- 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 to support research data management and analytics.
- Lead defined implementation workstreams from design through deployment, ensuring solutions are aligned with business needs, scientific workflows, and enterprise technology standards.
- Apply hands-on experience with pharma datasets, cloud platforms, and cross-system integrations to improve research technology ecosystems.
- Support research IT strategy, SDLC, and roadmap development by contributing technical recommendations, solution options, and implementation planning.
- Collaborate with interdisciplinary teams, including 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 readouts with evidence-based presentations, 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.
What you'll bring:
- Bachelor's degree required ; Master's degree strongly preferred, ideally in Computer Science, Data Science, Biomedical Engineering, Health Informatics, or a life science- related field ; Advanced degree, including MS or PhD, in a scientific discipline with data and/or technology exposure is a plus.
- At least 2 .5 years of relevant professional experience in research technology, data platforms, pharma technology, consulting, biotech, pharma, or related environments.
- Hands-on experience with pharma datasets, cloud platforms, and cross-system integrations.
- Prior ownership of 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.
- Knowledge of how to interpret and enforce 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 a range of biopharmaceutical research domains.
- Evidence of 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, coupled with a deep commitment to an open and collaborative working environment.
- Fluency in English
- Client-first mentality
- Intense work ethic
- Collaborative spirit and problem-solving approach
How you'll grow:
- Cross-functional skills development & custom learning pathways
- Milestone training programs aligned to career progression opportunities
- Internal mobility paths that empower growth via s-curves, individual contribution and role expansions
Perks & Benefits:
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States , visit ZS US office locations | Where we work | ZS .
Hybrid working model:
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
To complete your application:
Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com
Salary: $120,000.00 - $137,000.00
Skills Required
- Bachelor's degree
- Master's degree (strongly preferred) or advanced degree a plus
- At least 2.5 years relevant professional experience in research technology, data platforms, pharma technology, consulting, biotech, or pharma
- Hands-on experience with pharma datasets, cloud platforms, and cross-system integrations
- Prior ownership of solution design components (data models, integration patterns, technical requirements, architecture documentation)
- Experience translating scientific workflows into technical solutions and bridging scientific and IT stakeholders
- 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
- Knowledge and experience in scientific data modeling or information architecture across biopharmaceutical research domains
- Knowledge of research information management and analytics applications (research LIMS, ELN platforms, Certara, Schrodinger, GeneData, Watson or similar)
- Excellent communication, presentation, and stakeholder management skills
- Fluency in English
ZS Compensation & Benefits Highlights
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Healthcare Strength — Comprehensive medical, dental and vision coverage is paired with mental-health support via Workplace Options, with caregiving supports through partners like Bright Horizons and Milk Stork. The health plan is presented as a standout perk in the package.
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Parental & Family Support — Family-forming support spans fertility, adoption and surrogacy assistance, alongside paid Family Leave of 10 weeks plus an additional 6 weeks paid maternity leave for birth mothers (up to 16 weeks). Services like Milk Stork and back-up care strengthen support for caregiving and travel needs.
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Inclusive Benefits Coverage — Published LGBTQIA+-inclusive benefits include transgender-inclusive care and HIV services, plus domestic-partner eligibility. Inclusive policies are explicitly documented across U.S. benefits materials.
ZS Insights
What We Do
ZS is a management consulting and technology firm that partners with companies to improve life and how we live it. We transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Founded in 1983, ZS has more than 15,000+ employees in over 40 offices worldwide.
Why Work With Us
ZS is home to passionate people who embrace innovative thinking, collaboration and a client-first mindset. Welcome to a company where new ideas are celebrated, curiosity is welcomed, learning opportunities are abundant and colleagues become lifelong connections.
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