Job Function:
Technology Product & Platform Management
Job Sub Function:
Software Engineering – Product Life Cycle
Job Category:
Scientific/Technology
All Job Posting Locations:
Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America
Job Description:
We are searching for the best talent for a Technical Lead, Therapeutic Area Enabling Innovation, to be based in one of the following locations: Raritan, NJ; Spring House, PA; Cambridge, MA; Beerse, BE.
Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements.
While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):
- United States (Raritan, Spring House or Cambridge) - Requisition Number: R-084845
- Belgium (Beerse) - Requisition Number: R-090021
Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission.
This candidate will support research and drug discovery across Oncology, Immunology, Neuroscience, and other therapeutic areas. The Therapeutic Area (TA) Enabling Innovation team is uniquely positioned to deliver data, workflow, and knowledge solutions that accelerate scientific discovery and enable evidence-driven decision-making across the research-to-development continuum.
By connecting experimental data, computational workflows, and institutional knowledge, we are advancing how scientists design experiments, generate insights, and translate findings into therapeutic impact. In close partnership with scientific teams and the broader IM JJT organization, we develop and scale next-generation platforms and capabilities that improve speed, quality, and reproducibility across drug development.
About the Role
The Technical Lead, Therapeutic Area Enabling Innovation role partners closely with Product Managers to define and deliver scalable, high-impact technology solutions that support scientific workflows and data-driven research.
The individual will operate at the intersection of laboratory science, data engineering, cloud platforms, AI/ML, and knowledge management, helping bridge instrument-generated laboratory data through analytical workflows into decision-ready scientific knowledge. This includes capabilities spanning instrument connectivity, experimental workflows, multi-omics analytics, knowledge graphs, AI-enabled discovery, and translational research platforms.
The ideal candidate is a strong solution architect and technical leader with experience in data-intensive environments, capable of guiding teams through design decisions, evaluating tradeoffs, and enabling delivery of reliable, scalable products. This role is accountable for ensuring that technical solutions support business outcomes while aligning to enterprise standards and long-term product strategy.
Key Responsibilities
Lead technical solutioning for Therapeutic Area products
- Define end-to-end technical architectures across scientific workflows, data platforms, AI solutions, and knowledge management ecosystems.
- Ensure alignment to enterprise architecture, data, and security standards
- Promote reuse of existing platforms and shared capabilities
Partner with Product Managers
- Shape product designs to ensure feasibility, scalability, and maintainability
- Quickly validate technical assumptions before investment decisions
- Provide technical input into backlog prioritization, sequencing, and roadmap planning
- Build lightweight proof-of-concepts and technical spikes to assess new technologies and integration approaches
Enable delivery across teams
- Work closely with engineering teams to ensure designs are clearly understood and implemented effectively
- Align with enterprise architects, platform teams, and vendors on solution direction
- Identify and manage technical dependencies across products
Drive continuous improvement
- Identify opportunities to simplify, standardize, and scale solutions across TA products
- Bring forward and evaluate relevant emerging technologies (e.g., data platforms, AI/GenAI, workflow orchestration) and recommend build, buy or partner approaches.
- Contribute to evolving architecture frameworks and best practices
Qualifications
Education
- Bachelor's degree in Computer Science, Engineering, Bioinformatics, Computational Biology, Data Science, or related discipline.
Required Experience
- 6+ years of experience designing and implementing technical solutions, architectures, and integrations for complex business or scientific workflows
- Experience in life sciences, pharmaceutical R&D, biotech, scientific software, research informatics, or healthcare technology.
- Proven ability to translate business requirements into scalable technical architectures, integration patterns, and implementation roadmaps.
- Demonstrated ability to quickly evaluate technologies, build prototypes, and validate technical feasibility through proof-of-concepts and pilots.
- Experience collaborating across product management, engineering, architecture, and business stakeholders in a matrixed environment.
- Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Experience influencing technical direction without direct management responsibility.
Preferred Experience
- Understanding of drug discovery, translational research, clinical development, and the scientific data lifecycle from experiment execution through knowledge generation.
- Experience with laboratory informatics platforms including ELN, LIMS, laboratory automation, instrument connectivity, or digital lab transformation initiatives.
- Experience designing solutions for scientific data domains such as multi-omics, bioinformatics, translational, imaging, real-world, or clinical trial data.
- Familiarity with AI/ML platforms, knowledge graphs, semantic technologies, GenAI applications, or advanced analytics solutions for scientific research.
- Experience architecting cloud-native data platforms, APIs, integration frameworks, and scalable data pipelines in AWS or similar cloud environments.
- Knowledge of FAIR data principles, data governance, provenance, traceability, and reproducibility within regulated research environments.
- Experience evaluating emerging technologies, conducting vendor assessments, and leading proof-of-concept or pilot efforts to validate technical solutions.
Required Skills:
Preferred Skills:
The anticipated base pay range for this position is :
$94,000.00 - $151,800.00
Additional Description for Pay Transparency:
Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
• Vacation –120 hours per calendar year
• Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
• Holiday pay, including Floating Holidays –13 days per calendar year
• Work, Personal and Family Time - up to 40 hours per calendar year
• Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
• Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
• Caregiver Leave – 80 hours in a 52-week rolling period10 days
• Volunteer Leave – 32 hours per calendar year
• Military Spouse Time-Off – 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits
