Data Scientist and Application Developer

Posted Yesterday
Be an Early Applicant
Latina, ITA
In-Office
49K-77K Annually
Mid level
Healthtech • Biotech • Pharmaceutical • Manufacturing
The Role
Build and maintain internal web applications and lightweight APIs (Flask/FastAPI) for analytics; perform data extraction, cleaning, statistical modeling, and interpretability-focused models for manufacturing in a GMP context; collaborate with engineers, scientists, and quality partners; use git, testing, documentation, and platform/DevOps practices to operationalize models and deliver auditable, production-ready analytic solutions.
Summary Generated by Built In

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:

Latina, Italy

Job Description:

Stiamo cercando il miglior talento ne ruolo di Data Scientist, Application Devloper

Questo ruolo è disponibile in più paesi e può essere pubblicato con numeri di requisition diversi per soddisfare i requisiti normativi locali. Anche se sei invitato a partecipare a uno o a tutti gli annunci, ti consigliamo di concentrarti sui paesi specifici che sono in linea con le tue aspettative e preferenze:

United States - Requisition Number: R-079813

Italy - Requisition Number: R-082162

Ricorda che, indipendentemente dal fatto che tu applichi a uno o piu' di questi annunci, le tue applicazioni saranno considerate come una unica applicazione.

A proposito di Innovative Medicine

La nostra esperienza in Innovative Medicine è ispirata dai pazienti, la cui conoscenza alimenta i nostri progressi scientifici. I visionari come te lavorano in team che salvano vite sviluppando le cure del domani.

Unisciti a noi nello sviluppo di trattamenti, nella ricerca di cure e nel pionieristico percorso dal laboratorio alla vita, sostenendo i pazienti in ogni fase del percorso.

Per ulteriori informazioni, visitare il sito Web https://www.jnj.com/innovative-medicine 

Scopo:

We are seeking a Data Scientist and Application Developer to join a cross-functional team of engineers and scientists delivering data-driven solutions tied to manufacturing. In this role you will alternate between building business applications that enable fast, iterative analytics and operationalizing models that directly inform product quality decisions in a GMP context.

Responsabilità:

Application Development (GMP + non-GMP)

  • Build and maintain internal web applications that make analytics usable in day-to-day workflows.
  • Develop services using Python with Flask (and/or FastAPI where appropriate), including: Lightweight APIs for data access and model execution User-facing interfaces using Flask + Jinja, with small amounts of JavaScript and optionally React for richer interactions.
  • Implement pragmatic software engineering practices (modular design, testing, logging/monitoring hooks, clear documentation) aligned to intended use (GMP vs non-GMP).

Data Science & Modeling (Manufacturing Context)

  • Apply strong fundamentals in statistics, data extraction + cleaning, and modeling to diverse manufacturing datasets (e.g., batch/process time series, quality data, laboratory and instrument outputs).
  • Develop, evaluate, and document models intended to support insights into manufacturing performance in a GMP environment, focusing on interpretability and lifecycle considerations.
  • Collaborate with engineers, scientists, and quality partners to define the problem, select fit-for-purpose methods, and translate outcomes into operational decisions.
  • Communicate findings clearly to technical and non-technical stakeholders; create reusable analysis patterns and templates.

Delivery Practices & Collaboration

  • Use git fluently in a team setting (branches, pull requests, code reviews).
  • Contribute to maintainable, supportable solutions on an internal hosting platform; collaborate with platform/IT partners as needed.
  • Follow good documentation and change practices appropriate to regulated and non-regulated use, ensuring solutions are understandable and auditable when required.

Qualifiche / Requisiti:

Required Qualifications

  • Bachelor’s degree (or higher) in Data Science, Statistics, Computer Science, Engineering, or related field (or equivalent practical experience).
  • Strong data science fundamentals: Basic statistics and experimental reasoning Data wrangling and exploratory analysis Model building and evaluation.
  • Strong Python skills for both analysis and application development.
  • Familiarity with basic SQL fundamentals is required.
  • Experience building user-facing applications using Flask (templates/Jinja) and familiarity with basic front-end concepts (HTML/CSS/JavaScript).
  • Comfort working with diverse, imperfect datasets and iterating toward robust solutions.
  • Strong collaboration and communication skills in a cross-functional environment.

Preferred Qualifications

  • Familiarity with FastAPI and API design concepts (can be learned on the job if needed).
  • Experience supporting software or analytics in regulated/GMP-like environments (validation mindset, documentation discipline, traceability).
  • Exposure to manufacturing, pharma, chemical, or other industrial process data.
  • Knowledge of Azure services and/or identity concepts (e.g., Entra ID) is a plus but not required.
  • Familiarity with containerization/DevOps practices (e.g., Docker, CI/CD) is helpful.

#LI-Hybrid #JNJDataScience



Required Skills:



Preferred Skills:

Analytical Reasoning, Critical Thinking, Data Savvy, Digital Fluency, Digital Strategy, Engineering, Product Design, Product Development, Product Improvements, Product Portfolio Management, Report Writing, Research and Development, Safety-Oriented, SAP Product Lifecycle Management, Statistics, Technical Credibility, Technologically Savvy

  


The anticipated base pay range for this position is:

€48,600.00 - €77,395.00

Benefits:

In addition to base pay, we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions. Moreover, we offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well-being reimbursement, programs for financial, physical and mental health. We also offer service anniversary and recognition awards, and subject to the terms of their respective plans, employees - and in some location’s eligible dependents - can participate in several insurance plans. For more information, visit Employee benefits | Supporting well-being & career growth | Johnson & Johnson Careers.


*This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.



Additional information:

57,205 to 77,395 EUR

Skills Required

  • Bachelor's degree (or higher) in Data Science, Statistics, Computer Science, Engineering, or related field (or equivalent practical experience)
  • Strong data science fundamentals: statistics, experimental reasoning, data wrangling, exploratory analysis, model building and evaluation
  • Strong Python skills for analysis and application development
  • Familiarity with basic SQL fundamentals
  • Experience building user-facing applications using Flask (templates/Jinja) and front-end concepts (HTML/CSS/JavaScript)
  • Comfort working with diverse, imperfect datasets and iterating toward robust solutions
  • Strong collaboration and communication skills in a cross-functional environment
  • Fluency with git (branches, pull requests, code reviews)
  • Familiarity with FastAPI and API design concepts
  • Experience supporting software or analytics in regulated/GMP-like environments (validation mindset, documentation discipline)
  • Exposure to manufacturing, pharma, chemical, or other industrial process data
  • Knowledge of Azure services and/or identity concepts (e.g., Entra ID)
  • Familiarity with containerization/DevOps practices (e.g., Docker, CI/CD)
  • Experience or familiarity with React for richer UI interactions
  • Familiarity with SAP Product Lifecycle Management (listed in preferred skills)

Johnson & Johnson Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson & Johnson and has not been reviewed or approved by Johnson & Johnson.

  • Healthcare Strength Healthcare coverage is characterized as comprehensive across medical, dental, and vision, with added supports like onsite clinics, fitness centers, and Employee Assistance resources. Mental-health services and wellbeing reimbursements are also described as meaningful components of the overall package.
  • Retirement Support Retirement offerings are portrayed as a major differentiator, combining a 401(k) with employer matching and an employer-funded pension plan. Stock options and other long-term financial supports are also positioned as part of the broader rewards mix.
  • Parental & Family Support Family-related benefits are presented as notably strong, including paid parental leave for all new parents and additional leave types for caregiving and bereavement. Financial assistance for adoption, fertility treatment, and surrogacy is highlighted as a significant support.

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The Company
HQ: New Brunswick, NJ
143,612 Employees
Year Founded: 1886

What We Do

Profound Change Requires Boldness. Johnson & Johnson is the largest and most broadly based healthcare company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years. The combination of new technologies and your expertise enables amazing things to happen. Teams from J&J’s consumer business are creating digital tools to help people track the health of their skin. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world. Social Media Community Guidelines: http://www.jnj.com/social-media-community-guidelines

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