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Industry: Technology, Information and Internet
Company Size: 11-50 employees

Alignerr

Savvy Admin PROD

**About The Job**

At Alignerr, we partner with the world’s leading AI research teams and healthcare innovators to modernize how digital technologies support patient care and clinical operations.

As a Digital Health Strategist, you will help design, implement, and scale digital health solutions—including telemedicine, remote monitoring, wearable data, and mobile health platforms—so they integrate seamlessly into clinical workflows and deliver measurable improvements in care delivery and outcomes.

**Organization **: Alignerr **Position **: Digital Health Strategist **Type **: Hourly Contract **Compensation **: $35–$75 /hour **Location **: Remote **Commitment **: 10–40 hours/week

**What You’ll Do**

- Develop and execute strategic plans to adopt and scale digital health technologies such as telehealth, remote patient monitoring, wearable integrations, and mobile health applications.

- Integrate digital data and platforms into clinical workflows so providers can use real-time, trusted information in patient care and operational decisions.

- Partner with clinical, technical, and business stakeholders to measure the impact of digital initiatives and continuously improve performance and outcomes.

**What We’re Looking For**

- Experience working with digital health platforms such as telemedicine, mobile health apps, remote monitoring, or wearable data systems.

- Strong understanding of how healthcare workflows, data, and technology intersect to support patient care and clinical operations.

- Ability to collaborate across clinical, technical, and leadership teams to drive adoption, alignment, and measurable results.

**Preferred**

- Prior experience with data annotation, data quality, or evaluation systems

**Why Join Us**

- Competitive pay and flexible remote work.

- Lead and influence projects at the intersection of healthcare and advanced AI.

- Exposure to cutting-edge digital health and data-driven care models.

- Freelance perks: autonomy, flexibility, and global collaboration.

- Potential for contract extension.

**Application Process (Takes 15–20 min)**

- Submit your resume

- Complete a short screening

- Project matching and onboarding

~~PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ~~

Digital Health Strategist

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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