Health Outcomes Scientist Job at GSK (Mississauga)

Director, Global Real-World Evidence & Health Outcomes Scientist, Oncology

For drugs to be successful, there must be robust health outcomes data to support...

Location

United States , Philadelphia

Salary:

204000.00 - 340000.00 USD / Year

GSK

Expiration Date

Until further notice

Requirements

MSc, or equivalent in health outcomes, health economics, epidemiology, pharmacy, health or life sciences
3+ years of experience working in the pharmaceutical industry, preferably in a multi-national company
Experience in planning and delivering individual projects, managing budgets and working within a matrix setting
A history of designing a variety of RWE studies including prospective observational studies, cross-sectional and retrospective cohort studies, chart reviews, and database analyses
Proficiency in utilizing evidence for the development of HTA submissions, reimbursement and/or medical engagements
A track record of delivering robust payer evidence and credibility to engage meaningfully with external experts and leaders in the field
Expertise with the diversity and complexity of healthcare markets, health technology assessment agencies, and reimbursement decision making globally, in region and local markets
Experience in communicating technical and complex concepts and results to various audiences to impact decision-making
Experience in oncology.

Job Responsibility

Plan, design and execute multiple studies for a given asset and manage timelines, deliverables, and budget
Assure quality of deliverables, including review and sign off project specifications, protocols, data analysis plans, final study reports, abstracts, posters and manuscripts, in adherence to SOPs
Identify resources, references and analyses to inform scientific design and advise internal experts.(medical affairs, clinical, commercial/market access) and external experts as needed in support of the asset team
Translate needs for evidence into study concepts in alignment with strategic objectives and vision for the asset, e.g. development of study protocols and proposing innovative and cost-effective ways of developing and executing studies
Develop and maintain a good working knowledge of real-world data resources, existing partnerships and public initiatives and become the point person for select sources to advise on their suitability to address given research questions
Develop a deep understanding of customers’ needs, including clinicians and HTA requirements, and their acceptance of different types of evidence and impact of that evidence to their decision making
Collaborate with internal teams and participate in best practice sharing sessions across the non-interventional study organization
Build strong working relationships with stakeholder groups across medical, market access, R&D and commercial to ensure strategic alignment and optimal cross-functional collaboration and communication
Ensure key stakeholders, including TA aligned business leaders, are regularly updated on plans through periodic reporting
Develop excellent working relationships with external thought leaders to ensure appropriate methods and research agendas are applied, in accordance with GSK policies.

What we offer

Competitive base salary
Annual bonus based on company performance
Flexible working options available for most roles
Learning and career development
Access to healthcare & wellbeing programmes
Employee recognition programmes
Health care and other insurance benefits (for employee and family)
Retirement benefits
Paid holidays
Vacation

Fulltime

Data Scientist II - Mental Health Outcomes Statistician

This role will be responsible for the careful statistical analysis of mental hea...

Location

United States

Salary:

115000.00 - 150000.00 USD / Year

Equip Health

Expiration Date

Until further notice

Requirements

Ph.D or Masters degree with 5+ years of industry experience required
3+ years experience in developing mathematical and statistical models that measure mental health outcomes used to understand patients, treatment outcomes, and inform treatment decisions
3+ years experience analyzing experimental data, observational data, and handling missing data in real-world treatment settings
3+ years experience with experimental and observational study design
3+ years experience with and deep understanding of causal inference, multilevel models, and other advanced statistical techniques
Established track record in academic writing and publishing
Proficient in SQL, Github, and statistical software (R preferred)
Ability to write clear, maintainable, extensible, and testable code
Demonstrated ability to multi-task and prioritize in a dynamic environment
Independent, organized, and solution-driven

Job Responsibility

Build statistical models that track patient outcomes and are used to inform treatment decisions
Help design experimental and observational studies and write the statistical plans for them
Extract, clean, transform, and optimize data for analysis
Analyze patient data, write internal reports, present to stakeholders, and publish in academic journals
Translate complex findings into understandable reports, visualizations, and recommendations for technical and non-technical audiences
Work with cross-functional teams to understand needs and identify where careful analysis and statistical research can support treatment
Perform other duties as assigned

What we offer

Flex PTO policy (3-5 wks/year recommended) + 11 paid company holidays
Competitive Medical, Dental, Vision, Life, and AD&D insurance
Equip pays for a significant percentage of benefits premiums for individuals and families
Maven, a company paid reproductive and family care benefit for all employees
Employee Assistance Program (EAP), a company paid resource for mental health, legal services, financial support, and more
$50/month stipend added directly to an employee’s paycheck to cover home internet expenses
One-time work from home stipend of up to $500

Fulltime

Child health outcomes leader

We seek innovative clinical researchers for a new Health Services Research Team ...

Location

United States , Winston Salem

Salary:

Not provided

Advocate Aurora Health

Expiration Date

Until further notice

Requirements

MD/DO/PhD
Established record of extramural funding in child health research focused on social determinants of health
Experience in health services research, health outcomes, or health disparities
For data scientist roles: relevant experience and track record of working with child health data

Job Responsibility

Drive recruitment and define research in health outcomes or health disparities
Lead and expand child health outcomes research across the Atrium Health Clinical Enterprise and School of Medicine campuses
Enhance academic reputation, increase extramural funding, and accelerate innovations to improve child health

What we offer

Paid Time Off programs
Health and welfare benefits (medical, dental, vision, life, Short- and Long-Term Disability)
Flexible Spending Accounts for eligible health care and dependent care expenses
Family benefits (adoption assistance, paid parental leave)
Defined contribution retirement plans with employer match
Educational Assistance Program
Opportunity for annual increases based on performance
Premium pay (shift, on call)
Incentive pay for select positions

Fulltime

Senior Patient-Centered Outcomes Research Scientist

Talentmark are recruiting for a Senior Patient-Centered Outcomes Research Scient...

Location

United Kingdom , Welwyn Garden City

Salary:

75.00 - 90.00 GBP / Hour

CK Group

Expiration Date

Until further notice

Requirements

MSc in Public Health, Psychology, or a related discipline (PhD preferred)
At least 3 years’ experience developing and implementing patient-centred measurement strategies within pharma or consultancy
Strong understanding of clinical outcome assessments (COAs), including electronic formats (eCOA)
Experience in clinical trial environments, including study execution and evidence generation
Knowledge of linguistic validation processes and digital measurement approaches
Hold entitlement to work in the UK

Job Responsibility

Develop and implement patient-centred, fit-for-purpose measurement strategies across the drug development lifecycle
Collaborate with global study teams, lifecycle teams, and cross-functional stakeholders to integrate patient-focused outcomes into clinical development
Support study start-up, monitoring, and close-out activities related to clinical outcome assessments (COAs)
Lead or contribute to the implementation of electronic COAs (eCOA), including user acceptance testing, linguistic validation, and file specification reviews
Assess and drive the development or deployment of new measurement tools to capture patient experience effectively
Provide subject matter expertise in areas such as digital measurement strategy, eCOA, linguistic validation, and patient/site engagement
Work closely with data science and operational teams to ensure high-quality patient-centred evidence generation

Senior Data Scientist

The Senior Data Scientist is an applied data science leader within the Data & An...

Location

Canada , Toronto

Salary:

85000.00 - 125000.00 USD / Year

Four Seasons

Expiration Date

Until further notice

Requirements

5+ years of working experience in data science, data wrangling, management, and/or ML engineering
University degree in Computer Science, Statistics, Data Science, Applied Mathematics, Engineering, or substantial coursework in relevant quantitative field
Applied modeling and analytics: strong foundation in statistics and ML (supervised/unsupervised), feature engineering, and model evaluation
ability to explain tradeoffs and drive business decisions
Experience in NLP and/or GenAI techniques for applied use cases (e.g., classification, entity extraction, semantic search) with an evaluation-first mindset
Data proficiency: advanced SQL and Python
strong data wrangling skills (profiling, cleansing, merging, validation) for large, messy datasets
Cloud & tooling (preferred): Azure and Databricks ecosystem (e.g., Databricks, Data Factory, Data Lake/Blob, Azure Function App, Azure AI Foundry), with ability to run scalable experimentation and modeling workflows
Production readiness (in partnership with Engineering): familiarity with CI/CD, version control (Azure DevOps/GitHub), reproducible pipelines, and monitoring principles for models and data products
Visualization & communication: experience using notebooks and BI tools (e.g., Power BI, Tableau, PowerPoint) to tell clear stories to technical and non-technical stakeholders

Job Responsibility

Lead Data Science in Designing Prototypes Supporting Commercial Strategy
Own applied data science problem framing: translate business goals into clear hypotheses, success metrics, and an analytical approach (e.g., forecasting, propensity, segmentation, optimization, NLP)
Lead the design and delivery of data science prototypes aligned to commercial strategy, ensuring measurable business impact (e.g., cost savings, revenue growth, improved guest experience)
Define and execute measurement and experimentation plans (e.g., A/B tests, holdouts, quasi-experiments) to quantify incremental impact and guide product/business decisions
Plan and manage the data science / ML project pipeline by developing roadmaps, aligning business priorities, communicating tradeoffs, and coordinating dependencies with partners (e.g., Data Engineering, Data Governance, Product/Digital/Business teams)
Identify, collect, and validate datasets
define data quality checks and partner with data stewards/engineering to ensure data is fit for purpose
Design, develop, and evaluate models and prototypes
select the best approach balancing accuracy, interpretability, scalability, and business constraints
Present insights and recommendations to non-technical and leadership audiences, driving alignment, decision-making, and adoption

Fulltime

Director Nursing Research

Provides strategic leadership in the development and implementation of the depar...

Location

United States , Milwaukee

Salary:

Not provided

Children's Wisconsin

Expiration Date

Until further notice

Requirements

License RN-Registered Nurse (30) - State of Wisconsin required
Terminal Degree (PhD, DNP, etc.) required
Ten or more years of experience conducting clinically relevant research and publishing relevant findings
Academic and professional expertise in pediatric nursing preferred
Ability to communicate effectively with all members of the interdisciplinary health care team to enhance collaboration and problem solving
High degree of resourcefulness and independent motivation
Demonstrated ability to relate well with colleagues and community agencies

Job Responsibility

Provides strategic leadership in the development and implementation of the department of Nursing Research and Evidence-Based Practice
Provides vision and leadership for development of an agenda encompassing interdisciplinary research, evidence-based practice (EBP), nursing outcome datasets, and Magnet re-designation
Provides leadership for programs of research within the department as well as conducting own program of research
Facilitates research utilization in clinical practice and research consultation/collaboration with nurses and interdisciplinary colleagues
Defines needed infrastructure which to supports and directs nursing and interdisciplinary EBP and research activities
Develops a system and support for engaging and mentoring nurse scientists, Advanced Practice Nurses and clinical staff
The translation of clinically relevant research into clinical practice are key components of this role
Reports to the Vice President for Nursing/Chief Nursing Officer

Fulltime

Med Tech/Lab Scientist

Why Beebe? Become part of the Beebe team - an inclusive team positioned in a vib...

Location

United States , Rehoboth Beach

Salary:

Not provided

beebe healthcare

Expiration Date

Until further notice

Requirements

Entry level graduates of an approved associate degree program in an appropriate science field and eligibility as medical technologist
Able to communicate effectively, pleasantly, cooperatively, and discretely with patients, physicians, hospital employees, and the general public
Able to work under pressure
Willingness to increase knowledge of laboratory/hospital functions
Demonstration of creativity, initiative and problem solving
Associate or bachelors degree in an accredited Medical Laboratory Technician (MLT) program or Medical Laboratory Science (MLS) program
Clear Communication Skills Both Written and Verbal
Able To Keep Confidential Information Regarding Patients, Team Members
Able To Withstand Crisis Situations
Has Skills to Provides Customer Service to Patients, Team Members and Visitors

Job Responsibility

Performs, calculates and reports routine and special laboratory tests
Maintains equipment and troubleshoots problems
Evaluates results and quality control data
Serves as a resource and teaches new employees and students
Assists in evaluating new test procedures
Demonstrates technical knowledge and competence in performing expected responsibilities
Ability to perform laboratory skills
Performs and evaluates maintenance systems
Implements corrective action as appropriate
Performs and evaluates quality control data and implements corrective action

Fulltime

Solutions AI Architect, Healthcare Provider

We are seeking an experienced AI Solutions Architect to design and deliver artif...

Location

United States , Plano

Salary:

119578.00 - 221625.00 USD / Year

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, information systems, engineering, data science, healthcare informatics, clinical informatics, or a related field
8+ years of experience in technology architecture, data architecture, analytics, AI/ML, enterprise solution delivery, or healthcare technology consulting
4+ years of experience supporting healthcare providers, health systems, hospitals, academic medical centers, physician groups, or integrated delivery networks
Hands-on experience designing AI, machine learning, generative AI, analytics, or automation solutions in production environments
Strong understanding of provider business and clinical processes, including patient access, EHR workflows, clinical documentation, care delivery, revenue cycle, quality reporting, population health, and patient engagement
Experience with healthcare data standards and regulations, such as HIPAA, FHIR, HL7, CDA, X12, USCDI, interoperability requirements, and clinical data exchange
Experience with major cloud platforms such as AWS, Azure, or Google Cloud, including data, AI, security, integration, and governance services
Familiarity with modern AI patterns such as RAG, vector databases, prompt engineering, model evaluation, MLOps, LLMOps, clinical validation, and AI governance
Ability to communicate complex technical concepts to executive, clinical, operational, financial, and technical audiences
Strong consulting, facilitation, problem-solving, stakeholder management, and executive presentation skills

Job Responsibility

Design end-to-end AI and generative AI solutions for provider use cases, including architecture, data flows, integration patterns, model selection, workflow integration, governance, security, and deployment approach
Partner with healthcare system stakeholders to identify high-value AI opportunities, define business outcomes, assess feasibility, and shape implementation roadmaps
Lead solutioning for provider-specific domains such as electronic health records, clinical documentation, patient access, scheduling, revenue cycle, coding, billing, denials management, care coordination, population health, quality reporting, command centers, and patient engagement
Develop reference architectures using cloud platforms, EHR integration services, data lakes, warehouses, lakehouses, MLOps pipelines, APIs, interoperability layers, workflow tools, and enterprise integration patterns
Guide teams on applying large language models, retrieval-augmented generation, predictive analytics, natural language processing, computer vision, intelligent automation, and decision support in healthcare delivery settings
Collaborate with data scientists, engineers, clinicians, informaticists, compliance teams, security architects, revenue cycle leaders, and delivery teams to move concepts from prototype to production
Define responsible AI controls, including model monitoring, explainability, clinical safety review, human-in-the-loop validation, bias assessment, auditability, privacy, cybersecurity, and regulatory compliance
Support pre-sales and client advisory activities, including solution presentations, proposals, estimates, demos, workshops, executive briefings, and innovation strategy sessions
Evaluate vendor platforms and AI tools across EHR ecosystems, cloud, clinical documentation, revenue cycle, patient engagement, workflow automation, and analytics
Create reusable assets, including provider AI solution blueprints, architecture patterns, implementation playbooks, data requirements, governance frameworks, and value case templates

What we offer

medical insurance
dental insurance
vision insurance
flexible spending or health savings account
life and AD&D insurance
short and long term disability coverage
paid time off
employee assistance
401k program with company match

Fulltime

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Health Outcomes Scientist

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