Find Phd data science Jobs in Dublin, D

Medical Science Liaison Neuroscience
Novartis —Dublin, County Dublin
- Full-time
- Doctoral degree
- Master's degree
17h
Principal Data Scientist - Network Analytics & AI Enablement
Optum —Dublin, County Dublin
- Full-time
- Doctoral degree
- Master's degree
- SQL
6d
Manager - Marketing Science & Insights
Mars —Dublin, County Dublin
- Doctoral degree
- Master's degree
- SQL
AI Research Engineer/Scientist (OpenVINO, NNCF)
Intel —Leixlip, County Kildare
- Full-time
- Doctoral degree
- Computer Science
- English
Director, Clinical Development
Gilead Sciences —Dublin, County Dublin
- Full-time
- Doctoral degree
- Research
- Analysis skills
AI Research Engineer (Kernel & Inference Optimization)
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
AI & Data - Data Governance - Senior Manager
EY —DUBLIN 2, County Dublin
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- Bachelor's degree
- Gym membership
- Referral programme
Senior Staff Software Engineer, Perception
AeroVect —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Master's degree
Principal ML Engineer
Solventum —Dublin, County Dublin
- Full-time
- Azure
- Doctoral degree
- Computer Science
AI & Data - Analytics Delivery - Senior Manager
EY —DUBLIN 2, County Dublin
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Master's degree
- Gym membership
Software Engineer III, Global Network Technology
Google —Dublin, County Dublin
- Full-time
- Doctoral degree
- Computer Science
- System design
8d
Associate Director, Translational Medicine
Grifols Worldwide Op Ltd —Dublin, County Dublin
- Full-time
- Doctoral degree
- Master's degree
- Project management
AI GenAI Solution Lead
Ericsson —Dublin, County Dublin
- Azure
- Doctoral degree
- Computer Science
12h
AI & Data - Agentic AI Engineer - Senior Consultant
EY —DUBLIN 2, County Dublin
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
- Gym membership
Forward Deployed Engineer IV, Generative AI, Google Cloud
Google —Dublin, County Dublin
- Full-time
- Doctoral degree
- Computer Science
- Engineering
1d
Clinical Development Director - Renal
Novartis —Dublin, County Dublin
- Full-time
- Doctoral degree
- Writing skills
- No degree
13d
Staff Machine Learning Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Work from home
Associate Director, Statistical Programming
Grifols Worldwide Op Ltd —Dublin, County Dublin
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Corporate Development Associate
Azurity Pharmaceuticals - US —Dublin, County Dublin
- Full-time
- Microsoft Powerpoint
- Microsoft Excel
- Doctoral degree
Manager, Machine Learning Engineering
DocuSign —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree

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Medical Science Liaison Neuroscience

Novartis -
Dublin, County Dublin

Apply Now

Job details

Full-time
17 hours ago

Qualifications

Doctoral degree
Master's degree

Full job description

Summary

The Medical Scientific Liaison (MSL) acts as a scientific ambassador, enabling high‑quality, peer‑to‑peer scientific exchange with Healthcare Professionals (HCPs) and Medical Experts (MEs) within Neuroscience, but with the flexibility to support multiple Therapeutical Area assets when required. The role exists to strengthen Novartis’ scientific presence, support evidence‑based decision making, and inform medical strategy through high‑quality insight generation. MSLs provide deep therapeutic area and product understanding, translate emerging science into meaningful dialogue, and support internal teams with clinical data interpretation. MSL is field-based role and needs to operate primarily in the field, the MSL bridges scientific needs from clinical practice with internal strategy to improve patient outcomes and reinforce Novartis’ reputation for scientific excellence.

About the Role

Medical Engagement

Execute Medical Expert (ME) engagement plans aligned with TA strategic priorities.
Conduct unbiased, evidence‑based, peer‑to‑peer scientific exchange with HCPs and MEs, providing up‑to‑date medical and disease area information.
Ensure appropriate identification and mapping of MEs/Key Accounts, and proactively involve them when specific medical needs, scientific questions, or evidence gaps are identified.
Share, discuss, and contextualize new clinical data and publications.
Support ME/HCP education activities (e.g., hospital staff meetings, regional scientific events).
Ensure compliant, high‑quality scientific dialogue aligned with company guidance.

Evidence Generation & Clinical Research Support

Systematically collect, synthesize, and communicate actionable external insights from clinical practice and scientific discussions.
Inform local and regional medical strategy through real‑world feedback and emerging unmet needs.
Support identification and qualification of potential study sites.
Facilitate communication between sites and internal teams to optimize study execution.

Medical Education & Scientific Communication

Contribute to planning, execution, and follow‑up of local/regional medical education activities.
Provide scientific support for events, symposia, and internal or external educational initiatives.
Contribute scientific insights to shape country medical plans and disease area strategies.
Maintain a strong understanding of the therapeutic landscape, emerging data, and competitor environment.

Medical Partnerships

Build and maintain strong partnerships with Medical Experts, scientific societies, and academic institutions to support collaboration and scientific leadership in the TA.
Act as a scientific resource for internal partners, providing clinical context, data interpretation, and training.
Represent the company as the credible scientific ambassador in the TA, contributing to a positive reputation with key stakeholders and institutions.
Strengthen the medical ecosystem by shaping joint value creation initiatives, evidence-based collaborations, and multistakeholder partnerships.

Compliance & Governance

Ensure all engagements, materials, and activities meet ERC, regulatory, and medical governance requirements.
Maintain accurate reporting, CRM documentation, and activity tracking.

Key Performance Indicators

Quality, relevance, and timeliness of scientific engagements.
Number and quality of actionable insights integrated into strategy.
Quality and accuracy of CRM documentation and activity reporting.
Excellence in execution of metrics and MEEP coverage and quality.
Compliance and audit readiness across field medical activities.
Strength and depth of ME relationships.
Contribution to medical education activities and scientific events.
Strength and depth of scientific relationships with priority MEs/HCPs.
Compliance with ERC and governance standards.
Aligned with SSO and CRMAs support of clinical trial execution (e.g., site feasibility inputs, engagement quality).
Cross‑functional feedback on scientific value and collaboration.

Ideal Background

Education:

Advanced scientific degree (MD, PharmD, PhD, MSc in Life Sciences) or equivalent.

Experience/Professional Requirement:

Experiences:

Experience in Medical Affairs or clinical/scientific roles (field‑based experience preferred).
Demonstrated ability to engage in high‑quality scientific dialogue with HCPs/MEs.
Experience interpreting clinical data and scientific evidence.
Understanding pharmaceutical industry regulations, compliance, and scientific engagement standards.
Experience supporting clinical research is a plus.

Functional Capabilities:

Strong scientific and clinical data interpretation skills.
Ability to collect, synthesize, and communicate insights.
High proficiency in scientific engagement and communication.
Understanding of evidence generation approaches (RWE, clinical trials, observational studies).
Ability to partner effectively in a matrix environment.
Strong planning, prioritization, and territory management abilities.

Interpersonal Capabilities & Mindset:

Scientific curiosity and growth mindset.
Ability to influence without authority
Acts with credibility and clarity of purpose to build and maintain effective and collaborative relationships
Collaborative, cross‑functional orientation.
Clear, impactful communication; ability to simplify complex science.
Adaptable, resilient, and comfortable navigating ambiguity.
High integrity, ethical judgment, integrity, and a patient centric mindset guiding all interactions.

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally.
Read our handbook (PDF 30 MB)

Division

International

Business Unit

Development

Location

Ireland

Site

Dublin (Country President Office (CPO))

Company / Legal Entity

IE02 (FCRS = IE002) Novartis Ireland Ltd

Functional Area

Research & Development

Job Type

Full time

Employment Type

Regular

Shift Work

Apply Now

Refine Your Search

phd data science jobs in dublin, d

Medical Science Liaison Neuroscience

Principal Data Scientist - Network Analytics & AI Enablement

Manager - Marketing Science & Insights

AI Research Engineer/Scientist (OpenVINO, NNCF)

Director, Clinical Development

AI Research Engineer (Kernel & Inference Optimization)

AI & Data - Data Governance - Senior Manager

Senior Staff Software Engineer, Perception

Principal ML Engineer

AI & Data - Analytics Delivery - Senior Manager

Software Engineer III, Global Network Technology

Associate Director, Translational Medicine

AI GenAI Solution Lead

AI & Data - Agentic AI Engineer - Senior Consultant

Forward Deployed Engineer IV, Generative AI, Google Cloud

Clinical Development Director - Renal

Staff Machine Learning Engineer

Associate Director, Statistical Programming

Corporate Development Associate

Manager, Machine Learning Engineering

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