At Johnson & Johnson Innovative Medicine, we are leading where medicine is going. The experiences of patients around the world inform and inspire our science-based innovations, which continue to change and save lives. Applying rigorous science with compassion, we confidently address the most complex diseases of our time and develop the potential medicines of tomorrow. We are continuously working to develop treatments, aspiring to find cures, pioneering the path from lab to life, and championing patients every step of the way. https://bit.ly/3reuMvK

Industry: Pharmaceutical Manufacturing
Company Size: 10,001+ employees

Johnson & Johnson Innovative Medicine

Savvy Admin PROD

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

**Job Function**

Regulatory Affairs Group

**Job Sub Function**

Regulatory Affairs

**Job Category**

Professional

**All Job Posting Locations:**

Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

**Job Description**

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

Johnson & Johnson Innovative Medicine R&D is recruiting for a Director, Global Regulatory Leader. This position is a hybrid role and can be located in Spring House, PA; Titusville, NJ; or Raritan, NJ.

Remote work options may be considered on a case-by-case basis and if approved by the Company and will be available in all states within the United States. While specific cities are listed in the Locations section for reference, please note that they are examples only and do not limit your application. We invite candidates from any location to apply.

The Director, Global Regulatory Leader in Global Regulatory Affairs will be responsible for the development, implementation, and maintenance of global regulatory strategies for investigational rare disease and advanced cell therapy products supporting programs in the Immunology Therapeutic Area.

**Principal Responsibilities**

- As the global regulatory lead for assigned projects, develop and implement integrated regulatory strategies and operational plans for investigational rare disease and advanced cell therapy products within the Immunology Therapeutic Area. Ensure strategies are aligned with portfolio objectives, regional regulatory requirements, CMC considerations, commercial goals, and market access plans.

- Serve as the key regulatory point of contact, providing leadership and guidance across cross-functional teams to support successful development and commercialization, including providing input on implications of regulatory strategy through participation in product-related teams.

- Lead the project Global Regulatory Team (GRT) and participate in the Compound Development Team (CDT) as needed.

- Lead and/or participate in meetings with regulatory agencies as appropriate and prepare company personnel for interactions with Health Authorities (HAs). Ensure that responses to FDA questions are handled in a timely manner and in line with the approved product strategy.

- Lead and oversee key health authority documents (e.g., IND/CTA, meeting requests, briefing packages, responses, marketing applications) according to the strategic plan for the region and health authority commitments. Perform critical review of submission documents to ensure compliance with regulatory requirements.

- Negotiate and manage regional post-approval commitments and global label expansion strategies.

- Maintain an understanding of the competitive landscape (e.g., views of HAs, regulatory precedents, labeling differences and disease area-specific issues) and provide proactive strategic regulatory advice to project teams and global regulatory teams.

- Maintain working knowledge of laws, guidances and requirements related to autoimmune diseases, in addition to general regulatory knowledge and provide strategic regulatory input into clinical trial designs, labeling, risk management, and development programs to meet global and regional requirements.

- Support due diligence and business development assessments.

- Identify and resolve regulatory issues that may affect projects or organizational objectives.

**Qualifications**

- A minimum of a Bachelor’s degree is required, preferably in a scientific or technical discipline. Advanced degree (Master’s, PharmD or PhD) preferred.

- A minimum of 10 years of global health regulated industry is required.

- Global regulatory experience with deep expertise in U.S. FDA, EMA, and international regulations within scientific and commercial contexts is required.

- Knowledge of the drug product lifecycle from discovery to clinical trials to marketing is required.

- An understanding of FDA and International Council for Harmonization of Technical Requirements for Pharmaceuticals for Human Use (ICH) regulatory requirements and guidelines specific to the areas of clinical research, product development, and labeling is required.

- An understanding of the regulatory submission and approval process is required.

- Experience critically reviewing and compiling regulatory documents is required.

- Knowledge of the Immunology and Oncology therapeutic areas is strongly preferred.

- Knowledge of advanced therapies, such as CAR-T, is strongly preferred.

- Demonstrated ability to interpret and apply regulatory requirements and precedents is required.

- A proven track record in shaping global regulatory strategies, ensuring compliance, and leading direct interactions with Health Authorities is required.

- Must have excellent oral and written communication skills.

- Must have strong organization and multi-tasking skills.

- A proven track record of working successfully within a collaborative team environment and building positive relationships as an individual contributor is preferred.

- The ability to effectively prioritize assignments for multiple products and projects simultaneously is preferred.

- The ability to exercise independent judgment and execution in anticipating, evaluating and resolving complex functional and/or complex organizational issues with novel and practical solutions is required.

- This position may require up to 10% domestic and international travel.

The anticipated base pay range for this position in the San Francisco Bay Area, CA is $189,000 to $325,450.

The anticipated base pay range for this position in U.S. locations is $164,000 to $282,900.

The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/ performance year. Bonuses are awarded at the Company’s discretion on an individual basis.

Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.

Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).

**Employees Are Eligible For The Following Time Off Benefits**

- Vacation - up to 120 hours per calendar year

- Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 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

For additional general information on company benefits, please go to: https://www.careers.jnj.com/employee-benefits

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

This job posting is anticipated to close on December 16, 2025. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.

**Required Skills**

**Preferred Skills:**

Analytical Reasoning, Business Writing, Compliance Risk, Fact-Based Decision Making, Industry Analysis, Legal Support, Mentorship, Product Licensing, Public Policies, Regulatory Affairs Management, Regulatory Compliance, Regulatory Development, Regulatory Environment, Risk Assessments, Strategic Thinking, Tactical Planning, Technical Credibility

**The anticipated base pay range for this position is :**

$164,000.00 - $282,900.00

**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)).

This position is eligible to participate in the Company’s long-term incentive program.

**Benefits**

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

Director, Global Regulatory Leader

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

**Job Function**

R&D Product Development

**Job Sub Function**

R&D Digital

**Job Category**

Scientific/Technology

**All Job Posting Locations:**

Spring House, Pennsylvania, United States of America

**Job Description**

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

**Role Overview**

In the Digital, Operations and Strategy department in Therapeutic Development and Supply (TDS) we combine science, technology and informatics to put data at the center of every decision. We are looking for an enthusiastic and dedicated colleague who shares our ambition to become a data-led organization developing breakthrough therapeutics to join us as a Principal Data Steward, Scientific/CMD Data.

The data steward is accountable for ensuring integrity, consistency, and usability of scientific data across laboratory, pilot plant, and manufacturing systems. This position combines coordination of data aggregation and curation activities with implementation of data-quality checks, in partnership with data engineering, and cross-functional teams to enable harmonized, traceable and contextualized datasets for R&D decision making, manufacturing scale-up processes and tech transfer within TDS, to help keep JJIM at the leading edge of the digital revolution.

**Key Responsibilities**

- Define, implement and own data stewardship processes for Chemistry, Manufacturing and Control (CMC) relevant data

- Coordinate data aggregation and curation activities to contextualize and improve the quality and FAIRness of our scientific data sets

- Collaborate with the ontology team to maintain and evolve data dictionaries, taxonomies, controlled vocabularies and ontologies in our data catalog and ontology management system, specific to Proteins, Cell & Gene Therapy and Synthetics development

- Create and enforce data standards, nomenclature and metadata requirements across lab- and manufacturing systems such as ELN, LIMS, SAP and MES

- Implement automated data quality checks and manual review procedures for critical datasets (e.g., batch records and analytical results)

- Translate scientific business requirements into data requirements and work with data engineers to document and operationalize them

- Provide training, guidance and best practices for scientists, engineers and data users on data capture and metadata annotation. For example, guide scientists on how best to record experiment information in ELN.

- Drive root-cause analysis and continuous improvement for recurring data issues

- Define KPIs for data quality and stewardship effectiveness (e.g., percentage of harmonized datasets, time-to-curation, issue remediation SLA) and report progress to stakeholders

- Support the introduction of automated, AI-assisted data curation tools to streamline cleaning, enrichment, and metadata generation

**Qualifications & Experience**

**Minimum**

- Bachelor’s degree in Chemistry, Biochemistry, Data Science, Information Systems, or a related field. Advanced scientific degree is preferred for deep domain understanding

- 3+ years of demonstrated experience in data stewardship, curation, or laboratory informatics

- 3+ years of business experience with CMC laboratory, manufacturing data systems and product registration systems

- Proficiency in scripting for data engineering (e.g., Python, SQL, etc.)

- Experience working with ontology-driven data models and vocabulary management

- Excellent analytical, problem-solving, and communication skills

- Experience coordinating work with data engineers to build complex or multi-component data products

**Preferred / Nice-to-Have**

- 5+ years of demonstrated experience in data stewardship, curation, or laboratory informatics

- 5+ years of business experience with CMC laboratory, manufacturing data systems and product registration systems

- Experience in Pharmaceutical research, pharmaceutical development, analytical, product development, manufacturing or clinical supply chain environment

- Agile and product management experience

- Proficiency in SPARQL

- Demonstrated ability to translate complex business needs into systems and data requirements

- Experience managing remote resources

**Required Skills**

**Preferred Skills:**

Analytical Reasoning, Benchmarking, Consulting, Critical Thinking, Data Structures, Digital Fluency, Digital Strategy, Emerging Technologies, Engineering, Global Market, Negotiation, Organizing, Product Development, Product Improvements, Regulatory Compliance, Research and Development, SAP Product Lifecycle Management, Technologically Savvy

Pr Data Steward, Scientific/CMC

At Johnson & Johnson, we believe health is everything. As a focused healthcare company, with expertise in Innovative Medicine and MedTech, we’re empowered to tackle the world’s toughest health challenges, innovate through science and technology, and transform patient care.  

All of this is possible because of our people. We’re passionate innovators who put people first, and through our purpose-driven culture and talented workforce, we are stronger than ever. 

Learn more at https://www.jnj.com. Community Guidelines: http://www.jnj.com/social-media-community-guidelines

Industry: Hospitals and Health Care
Company Size: 10,001+ employees

Johnson & Johnson

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

**Job Function**

Data Analytics & Computational Sciences

**Job Sub Function**

Data Science

**Job Category**

Scientific/Technology

**All Job Posting Locations:**

Cambridge, Massachusetts, United States of America, Malvern, Pennsylvania, United States of America, Spring House, Pennsylvania, United States of America

**Job Description**

Johnson & Johnson Innovative Medicine is recruiting for **Principal Scientist, Data Science – R&D DSDH - Therapeutics Development & Supply (TDS)**

The primary location for this position is open to Spring House, PA; Malvern, PA; Cambridge, MA; Beerse, Belgium; Madrid, Spain; or Barcelona, Spain.

Candidate Interested in our US based locations, please apply to: **R-069212**

J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/

**Position Summary**

The R&D Data Science organization is seeking a **Data Scientist – Data Engineer ** to design, build, and optimize data capture, processing, and storage solutions that enable advanced analytics, digital process transformation, and AI/ML applications across the development‑to‑supply continuum for Therapeutics Development & Supply (TDS).

You will be a hands‑on technical contributor working across Process Development, Manufacturing, Supply Chain, Quality, and Digital/Data Science teams to deliver high‑quality, AI‑ready data pipelines and data products. This role involves creating robust, future‑proof data systems, engineering workflows, and high‑value data repositories that support scientific, technical, and operational decision‑making.

**Key Responsibilities**

**Data Engineering & Pipeline Development**

- Design, build, and maintain scalable data pipelines for acquiring, integrating, and managing TDS data from diverse data generation sources and systems (e.g., lab systems, MES, clinical supply, quality systems, external partners).

- Create and optimize data flows for structured and unstructured data using Python, R, SQL, cloud services, and other modern engineering tools.

- Develop and maintain TDS‑specific data repositories, implementing enterprise‑level data models and creating new models as needed.

- Enable AI/ML readiness by ensuring data is well‑structured, versioned, traceable, and semantically aligned with enterprise data standards.

**Data Product & Architecture Partnership**

- Partner with data scientists, TDS domain experts, and digital technology teams to translate business needs into high‑quality data products and engineering requirements.

- Work closely with ontology/knowledge graph teams to implement semantic models and future‑proof data architectures.

**Quality, Compliance & Performance**

- Implement data quality and performance standards; define KPIs to measure accuracy, completeness, and consistency across TDS data assets.

- Apply data versioning and lineage tracking for compliance, traceability, and audit readiness.

- Follow software development best practices including code versioning, DevOps integration, and documentation.

**Cross‑Functional Collaboration**

- Engage with scientific, technical, and operations stakeholders to understand requirements, design data solutions, and drive adoption.

- Support multiple concurrent projects, managing priorities and delivering maximum business value across the TDS network.

**Qualifications**

**Required**

- Advanced degree in Engineering, Data Science, Life Sciences, Computer Science, or related field; advanced degree preferred.

- 3+ years of experience in data engineering, including data modeling and database design, preferably in a scientific, manufacturing, or healthcare environment.

- Proficiency with Python, R, SQL, and cloud-based architectures (e.g., AWS services, Snowflake, Redshift).

- Experience with NoSQL and graph databases.

- Strong analytical, problem‑solving, and stakeholder‑management skills, with the ability to translate discussions into actionable requirements.

- Ability to drive multiple exciting projects simultaneous with strong organizational skills and adaptability.

**Preferred**

- Experience with regulated or standards‑driven data environments, such as CDISC, HL7, FHIR, OMOP, DICOM, or manufacturing/quality data standards.

- Familiarity with high‑dimensional data (e.g., imaging, sensor data, etc).

- Experience with principles connecting to or feeding MLOps and model deployment workflows.

- Knowledge of manufacturing systems (MES), laboratory information systems, or industrial data systems.

- Exposure to knowledge graph or ontology‑driven architectures.

**Why This Role Is Unique**

This is a rare opportunity to grow in one of the world’s most ambitious and fast growing R&D Data Science organizations, shaping how Therapeutics Development & Supply data powers next‑generation therapies in the largest biomedical company on the planet. Your work will directly accelerate Johnson & Johnson’s scientific discovery, fuel AI innovation, and impact patients globally.

~~Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.~~

~~Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via ~~~~https://www.jnj.com/contact-us/careers ~~~~, internal employees contact AskGS to be directed to your accommodation resource.~~

#JRDDS

#JNJDataScience

JNJIMRND-DS

**Required Skills**

**Preferred Skills:**

Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis

**The anticipated base pay range for this position is :**

$117,000.00 - $201,250.00

**Additional Description For Pay Transparency**

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

Principal Scientist, Data Science – R&D DSDH - Therapeutics Development & Supply (TDS)

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

**Job Function**

Data Analytics & Computational Sciences

**Job Sub Function**

Data Science

**Job Category**

Scientific/Technology

**All Job Posting Locations:**

Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

**Job Description**

Johnson & Johnson Innovative Medicine is recruiting for **Principal Data Scientist – R&D DSDH - Preclinical Sciences & Translational Safety (PSTS)**

The primary location for this position is open to Spring House, PA; Titusville, NJ; Spring House, PA; Cambridge, MA; San Diego, CA; Beerse, Belgium; Madrid, Spain; or Barcelona, Spain.

Candidate Interested in our Europe based locations, please apply to: **R-069190**

J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/

**Position Summary**

The R&D Data Science organization is seeking a Data Scientist to leverage advanced machine learning, robust data engineering techniques, and domain expertise to drive impactful decisions and generate actionable insights within the Pharmaceutical Sciences & Translational Safety (PSTS) organization. In this role, you will work closely with multidisciplinary teams—including toxicologists, PK/PD specialists, in vivo researchers, and safety professionals—to create AI-ready datasets, develop predictive models, and deliver analytical solutions that promote improved safety evaluations and facilitate translational research.

The successful candidate possesses hands-on experience in machine learning and data engineering, complemented by a solid understanding of toxicology, pharmacokinetics/pharmacodynamics (PK/PD), in vivo experimentation, and translational science. Additionally, this role requires strong communication and problem-solving skills, a passion for innovation, and the ability to adapt to evolving scientific challenges in pharmaceutical R&D.

**Key Responsibilities**

**Machine Learning & Modeling**

- Develop and deploy ML/AI models to support safety signal detection, dose selection, PK/PD modeling, toxicology insights, and translational interpretation.

- Implement representation‑learning, predictive modeling, and multivariate analytics for datasets spanning in vivo studies, in vitro assays, exposure‑response data, and pathology information.

- Partner with scientific SMEs to design modeling strategies aligned with PSTS decision points.

- Apply model governance, versioning, and validation standards consistent with R&D AI practices.

**Data Engineering & Pipeline Development**

- Build and maintain scalable data pipelines that integrate PSTS‑relevant data sources (e.g., toxicology studies, PK/PD datasets, biomarker readouts, animal study repositories).

- Transform raw experimental outputs into standardized, analysis‑ready, AI‑ready datasets using Python, R, and cloud‑native services.

- Contribute to harmonized scientific data models in collaboration with data engineering and ontology teams.

**Scientific Domain Integration**

- Work directly with toxicology, DMPK, and safety stakeholders to interpret scientific context and translate study designs into computational requirements.

- Apply understanding of mechanism‑based toxicology, exposure‑response concepts, and in vivo study structures to guide data transformations and modeling strategies.

- Enhance cross‑study comparability via standardized terminologies, metadata practices, and quality checks.

- Collaborate with PSTS functional experts, R&D Data Science teams, and platform architects to ensure high-quality, scalable data solutions.

**Qualifications**

**Required**

- Advanced degree (MS or PhD) in Data Science, Computational Biology, Toxicology, Pharmacology, Biomedical Engineering, Computer Science, or related field.

- 3+ years of experience applying machine learning and/or data engineering to scientific or biomedical datasets.

- Proficiency with Python and/or R, SQL, and modern data engineering tooling (cloud computing, workflow orchestration, version control).

- Experience with ML model development, evaluation, and deployment pipelines.

- Experience working with biological, toxicology, PK/PD, or in vivo datasets.

**Preferred**

- Experience in safety sciences, ADME/DMPK, toxicogenomics, or biomarker analytics.

- Familiarity with scientific data formats (e.g., assay outputs, histopathology data, PK time-course datasets).

- Exposure to ontologies, semantic technologies, or knowledge graph integration for scientific domains.

- Experience with cloud‑based data architectures (AWS S3, Snowflake, Redshift).

- Understanding of regulatory data standards (e.g., SEND, CDISC).

**Why This Role Is Unique**

This is a rare opportunity to grow in one of the world’s most ambitious and fastest-growing R&D Data Science organizations, shaping how PSTS data powers next‑generation therapies in the largest biomedical company on the planet. Your work will directly accelerate Johnson & Johnson’s scientific discovery, fuel AI innovation, and impact patients globally.

~~Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.~~

~~Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via ~~~~https://www.jnj.com/contact-us/careers ~~~~, internal employees contact AskGS to be directed to your accommodation resource.~~

#JRDDS

#JNJDataScience

JNJIMRND-DS

**Required Skills**

**Preferred Skills:**

Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis

**The anticipated base pay range for this position is :**

$117,000.00 - $201,250.00

**Additional Description For Pay Transparency**

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

Principal Data Scientist – R&D DSDH - Preclinical Sciences & Translational Safety (PSTS)

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

**Job Function**

Data Analytics & Computational Sciences

**Job Sub Function**

Data Science

**Job Category**

Scientific/Technology

**All Job Posting Locations:**

Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America

**Job Description**

Johnson & Johnson Innovative Medicine is recruiting for **Sr Scientist, Data Science – R&D DSDH – Discovery Biologics**

The primary location for this position is open to Cambridge, MA or Spring House, PA

J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/

To achieve JJIM R&D's goal of growing the number of internally originated drugs brought to the market, it is necessary to enable expedited exploration of a larger and more diverse molecular space. This can be achieved through the implementation of automation, utilization of novel modalities, profiling approaches, and the application of data science. The success of these endeavors is dependent on the modernization of technology platforms that facilitate automated laboratory systems, seamless integration and analysis of generated data, and provide valuable insights and decision-making support to researchers.

Join us as a Data Scientist and play a pivotal role in the creation of a suite of innovative biologics discovery solutions, developed through a dynamic collaboration between R&D Data Science, Therapeutics Discovery, and IT. These solutions will enhance the impact of AI/ML and advanced analytics in our drug discovery processes, accelerating timelines through improved, data-driven decision-making. Your primary focus will be to design, build, and maintain a configurable, user-friendly, scalable, and integrated suite of data pipelines and workflows to drive scientific learning in Therapeutics Discovery. We invite you to join our vibrant team dedicated to redefining the future of scientific discovery, where your contributions will truly make a difference!

In order to scientifically collaborate with our Therapeutics Discovery – Biologics department, the candidate needs a basic understanding of biology, antibody design, and protein engineering. This knowledge helps the candidate design and develop data solutions that align with our Biologics workflows, such as data analysis tools, modeling solutions, or visualization platforms.

**Key Responsibilities**

- Design, develop, and maintain our Discovery Biologics data pipelines, integrating third party solutions, and data ingestion from our external partners.

- Collaborate with data product owners, data scientists, analysts, architects, and other partners to understand data requirements and deliver high-quality solutions that enable Discovery processes for Biologics.

- Build integrations with Therapeutics Discovery systems, Discovery data repositories, data ingestion from external partners, and other adjacent sources.

- Optimize data workflows with implementations enabling ease of use, performance, scalability, and reliability.

- Monitor and solve platform issues, ensuring timely resolution.

**Qualifications**

**Required:**

- Advanced degree in Computational Biology, Bioinformatics, Data Science, Biomedical Engineering, Computer Science, or related fields.

- Experience applying ML/AI in scientific domains (drug discovery, biology, chemistry, systems biology, or related areas).

- Strong programming skills in Python (preferred) and experience with scientific/ML libraries (PyTorch, TensorFlow, scikit‑learn, RDKit, etc.).

- Practical experience with data engineering, including data modeling, workflow orchestration, ETL/ELT pipelines, and cloud computing environments (AWS, GCP, or Azure).

- Ability to work directly with experimental scientists to solve real R&D challenges.

**Preferred**

- Experience working in a life science environment, ideally antibody or protein engineering

- Excellent problem-solving and analytical skills.

- Familiarity integrating data across HPC and/or MLOps tools.

- Less than 10% domestic or international travel.

**Why This Role Is Unique**

This is a rare opportunity to grow in one of the world’s most ambitious and fastest-growing Pharma R&D Data Science organizations, shaping how TD data powers next‑generation therapies in the largest biomedical company on the planet. Your work will directly accelerate Johnson & Johnson’s scientific discovery, fuel AI innovation, and impact patients globally.

~~Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.~~

~~Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via ~~~~https://www.jnj.com/contact-us/careers ~~~~, internal employees contact AskGS to be directed to your accommodation resource.~~

#JRDDS

#JNJDataScience

JNJIMRND-DS

**Required Skills**

**Preferred Skills:**

Advanced Analytics, Business Intelligence (BI), Coaching, Collaborating, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis

**The anticipated base pay range for this position is :**

$109,000.00 - $174,800.00

**Additional Description For Pay Transparency**

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

Sr Scientist, Data Science – R&D DSDH – Discovery Biologics

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

**Job Function**

Data Analytics & Computational Sciences

**Job Sub Function**

Data Science

**Job Category**

Scientific/Technology

**All Job Posting Locations:**

Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Spring House, Pennsylvania, United States of America

**Job Description**

Johnson & Johnson Innovative Medicine is recruiting for **Principal Data Scientist – R&D DSDH - Therapeutics Discovery (TD)**

The primary location for this position is open to Spring House, PA; Titusville, NJ; Spring House, PA; Cambridge, MA; San Diego, CA; Beerse, Belgium; Madrid, Spain; or Barcelona, Spain.

Candidate Interested in our EMEA based locations, please apply to **R-069202**

**About The Role**

Johnson & Johnson Innovative Medicine is seeking a highly skilled **R&D Data Scientist ** to support our **Therapeutics Discovery (TD) ** organization. This role sits within the **R&D Data Science ** group and will focus on building and applying advanced **Machine Learning (ML) ** and **Data Engineering ** solutions that accelerate scientific innovation across the drug discovery lifecycle. The ideal candidate brings strong computational expertise ~~and ~~ a solid scientific understanding of early R&D, including areas such as **Target Identification & Assessment **, **Lead Identification & Optimization **, **Mechanistic / Mode of Action studies **, and **Lab Automation & high‑throughput experimentation **.

The Data Scientist will collaborate closely with discovery scientists, automation engineers, computational biologists, and platform technology teams to transform complex, multimodal R&D data into actionable insights that drive therapeutic innovation.

**Key Responsibilities**

**Machine Learning & Modeling**

- Develop ML/AI models that support discovery workflows, including target prioritization, multi‑omics integration, and mechanistic inference.

- Apply modern ML approaches (e.g., deep learning, graph learning, foundation models, generative models) to chemical, biological, imaging, and assay datasets.

- Build and optimize models for real‑world R&D use cases, ensuring scalability, interpretability, and scientific rigor.

**Data Engineering & Pipeline Development**

- Design, build, and maintain robust data pipelines that curate, standardize, and integrate diverse R&D datasets (chemical, biological, multi‑omics, imaging, biophysical, automation logs, etc.).

- Partner with platform teams to implement best‑practice MLOps/DevOps workflows and deploy ML models into production R&D environments

- Develop tooling that accelerates dataset preparation, feature engineering, and model lifecycle management across TD.

**Scientific Partnership**

- Work hand‑in‑hand with TD scientists to understand key biological and chemical questions and shape computational strategy accordingly.

- Translate sparse, heterogeneous experimental datasets into insights that guide decision‑making in hit discovery, mechanism studies, perturbation experiments, and compound optimization.

- Participate in design, interpretation, and iterative refinement of discovery experiments.

**Innovation & Collaboration**

- Partner with cross-functional teams in R&D Data Science, IT, platform engineering, and therapeutic area groups to drive AI/ML adoption.

- Contribute to evaluating new analytical methods, automation technologies, and data platforms supporting next‑generation discovery science.

- Champion high standards for data quality, documentation, governance, and reproducibility.

**Qualifications**

**Required**

- Master’s or Ph.D. in Computational Biology, Bioinformatics, Data Science, Chemistry, Chemical Biology, Biomedical Engineering, Computer Science, or related field.

- Experience applying ML/AI in scientific domains (drug discovery, biology, chemistry, systems biology, imaging, or related areas).

- Strong programming skills in Python (preferred) and experience with scientific/ML libraries (PyTorch, TensorFlow, scikit‑learn, RDKit, etc.).

- Practical experience with data engineering, including data modeling, workflow orchestration, ETL/ELT pipelines, and cloud computing environments (AWS, GCP, or Azure).

- Ability to work directly with experimental scientists to solve real R&D challenges.

**Preferred**

- Experience in pharma or biotech discovery, including target assessment, phenotypic screening, medicinal chemistry workflows, and lab automation.

- Familiarity with omics, high‑content imaging, chemical structure data, or biological assay data.

- Knowledge of data standards (e.g., FAIR, ontologies, controlled vocabularies) and working within regulated or quality‑governed environments.

- Strong communication skills and ability to thrive in a matrixed, multidisciplinary environment.

**Why This Role Is Unique**

This is a rare opportunity to grow in one of the world’s most ambitious and fastest-growing Pharma R&D Data Science organizations, shaping how TD data powers next‑generation therapies in the largest biomedical company on the planet. Your work will directly accelerate Johnson & Johnson’s scientific discovery, fuel AI innovation, and impact patients globally.

~~Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.~~

~~Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via ~~~~https://www.jnj.com/contact-us/careers ~~~~, internal employees contact AskGS to be directed to your accommodation resource.~~

#JRDDS

#JNJDataScience

JNJIMRND-DS

**Required Skills**

**Preferred Skills:**

Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis

**The anticipated base pay range for this position is :**

$117,000.00 - $201,250.00

**Additional Description For Pay Transparency**

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

Principal Data Scientist – R&D DSDH - Therapeutics Discovery (TD)

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