Principal Scientist, R&D Data, Data Science & Artificial Intelligence - Immunology

Description

The company is a healthcare business working across Innovative Medicine and MedTech, and this role sits in its Immunology research and development group.

The Principal Scientist will help shape the design, evaluation and delivery of data science, digital health and AI strategy for the Immunology Therapeutic Area, working with DDSAI colleagues and Immunology stakeholders to find and prioritise opportunities across the portfolio.

The role turns new capabilities into practical tools that support better decisions, smoother research and stronger development outcomes.

You will work closely with clinical project teams and functional partners in Translational Science, Translational Medicine, Discovery, Late Development, Market Access, Medical Affairs, Data Platforms, and Insights & Analytics, among others.

Job function: Data Analytics & Computational Sciences. Sub function: Data Science. Category: Scientific/Technology.

Locations: Cambridge MA, Spring House PA, San Diego CA, Titusville NJ, or Raritan NJ. Hiring entity: the company Research & Development LLC.

Responsibilities

• Give scientific and strategic input on Immunology R&D DDSAI priorities, covering single projects, portfolio work and partnerships with internal and external groups.
• Work with DDSAI and Therapeutic Area teams to define, assess and carry out data science, digital health, AI and analytics work that fits Immunology R&D goals.
• Design and deliver data science use cases with Therapeutic Area teams, the Data Platform team, Insights & Analytics and other DDSAI groups, including roadmaps from pilot to scale and spotting reusable capabilities and standard workflows.
• Build a thorough understanding of imaging, digital health, clinical and real-world data, and match scientific questions to the right datasets, technologies and partners.
• Map scientific and operational workflows, then find process gains, automation options and future-state solutions that improve research work.
• Work with platform and engineering teams to shape data, analytics and digital capabilities that are reusable, governed, interoperable and sustainable.
• Assess and pilot emerging technologies such as generative AI, agentic workflows, workflow automation and advanced analytics for their effect on Immunology R&D.
• Spot emerging technologies, data assets and capability opportunities that could strengthen R&D decisions, as part of data innovation and portfolio intelligence work.
• Run detailed analyses, produce high-quality materials and present recommendations to technical and leadership audiences.
• Take on other DDSAI and wider R&D work as needed.

Requirements

• A master's degree in engineering, mathematics or a related scientific field, plus at least 4 years of relevant experience.
• At least 4 years of relevant experience in pharmaceutical R&D, biotechnology, healthcare, data science, digital health, AI, analytics or a related field, whether professional or academic.
• A proven record of working well across functions and in matrixed teams.
• Experience turning scientific or business needs into practical data, analytics, digital health or AI solutions.
• Proven experience evaluating and applying emerging AI, including generative AI and agentic systems, to scientific, clinical, operational or business problems.
• Strong problem-solving, communication, organisation and stakeholder engagement skills.
• Familiarity with healthcare, clinical, imaging, digital health, biomarker or real-world data.
• Preferred: an advanced degree (PhD is a plus).
• Preferred: experience supporting Immunology or another therapeutic area R&D organisation.
• Preferred: experience delivering data science, AI, digital health, analytics or workflow transformation initiatives.
• Preferred: experience with healthcare datasets such as clinical trial, real-world, imaging, biomarker, omics or digital health data.
• Preferred: experience with tools such as Python, R, SQL or cloud platforms.
• Preferred: experience designing, implementing, integrating or scaling machine learning, generative AI, agentic AI, workflow automation or digital health solutions in healthcare or life sciences.
• Preferred: familiarity with data platforms, process improvement, workflow design, capability building or technology enablement.

Conditions

The role is based at one of the company's campuses in Spring House PA, Cambridge MA, Titusville NJ, Raritan NJ or La Jolla/San Diego CA. Fully remote work is not available.

Travel may be required for cross-functional workshops, design sessions and team meetings.

Hybrid working is noted in the posting tags.

Candidates with disabilities may request an accommodation: external applicants via the company careers contact page, internal employees via AskGS.

Benefits

• Annual performance bonus under the applicable plan, paid in cash at the company's discretion on an individual basis and based on individual and company performance over the calendar year.
• Base pay range of $117,000 to $201,250 for the position.
• Medical, dental, vision, life, short- and long-term disability, business accident and group legal insurance, for employees and eligible dependents.
• Participation in the consolidated retirement plan (pension) and the savings plan (401(k)), where eligible.
• Vacation up to 120 hours per calendar year.
• Sick time up to 40 hours per calendar year.
• Holiday pay, including floating holidays, up to 13 days per calendar year.
• Work, personal and family time up to 40 hours per calendar year.
• Compensation and benefits described here apply to hires in the United States; candidates hired outside the US receive local-market terms.