Lead interdisciplinary research on digital health and precision symptom science in oncology, including study design, data analysis, manuscript writing, grant development, and career development activities.
Compensation
Expected Hiring Range: $60,315.00 - $85,192.50
Responsibilities
Design and conduct studies using digital health tools to assess symptom experiences in cancer patients
Analyze electronic patient-reported outcomes and clinical data to identify associations with biological mechanisms
Develop and evaluate wearable and remote monitoring interventions
Write manuscripts and develop grant proposals
Participate in interdisciplinary collaboration with Northeastern University and Dana‑Farber Cancer Institute
Requirements
PhD in a relevant field or equivalent (e.g., DNSc)
The Registered Nurse I assesses, plans, implements and evaluates nursing care, utilizing the nursing process in accordance with hospital standards and unit policies/procedures for the purpose of monitoring and evaluating patient functional status.
Responsibilities
Utilizes the nursing process to care for patients.
Assesses, organizes, and completes patient care with consideration for patient age, cultural and psychosocial factors.
The projected base salary for this position ranges from $156,000 to $187,200 depending on experience and qualifications. This role is also eligible for incentive compensation and a comprehensive benefits package, including wellness programs, retirement savings, and relocation support as applicable.
Responsibilities
Own vision, roadmap, and backlog to deliver analytics products and results for Risant's VBP solutions
Serve as primary liaison between analytics team and VBP product owners, RHO clinical/operational leaders, and internal technical teams and leadership
Conduct regular user feedback sessions, adoption reviews, and value realization assessments to identify enhancement opportunities and measure product impact
Partner with VBP leadership to ensure analytics support new product development and vision throughout the SDLC process
Build and evolve analytic capabilities that pinpoint cost drivers, impactable populations, and high-ROI opportunities for VBP Solutions
Requirements
Bachelor's degree required in Data Science, Health Economics, Computer Science, Biostatistics, or a related quantitative or healthcare analytics field
Nice to have: Master’s degree (e.g., MPH, MS in Data Science, Health Informatics, or Applied Analytics)
Senior executive leadership role shaping and driving enterprise-aligned AI strategy for Immunology R&D and translating that strategy into an executable, value-focused portfolio of AI capabilities, data products, and AI solutions.
Apply a transformative approach to therapy, leveraging clinical data to craft personalized care plans that align with your core strengths as a therapist.
Compensation
Salary Range: $38 - $50 / hr
Responsibilities
Apply a transformative approach to therapy, leveraging clinical data to craft personalized care plans that align with your core strengths as a therapist.
Utilize AgeRight Therapy’s evidence-based clinical programs and pathways to ensure optimal patient outcomes.
Be a Champion of the Journey by maximizing function in physical, emotional, social, and cognitive realms for patients, families, co-workers, and self.
Requirements
Graduate from accredited education program with the appropriate degrees in Physical Therapy
Apply computational and biological expertise to help answer high-value scientific questions using diverse biological, molecular, and clinical datasets.
Compensation
The annual base salary for this position ranges from $106,000.00 to $176,600.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 15.0% of the base salary and eligibility to participate in our share based long term incentive program.
Responsibilities
Own scoped analyses and defined biological investigations with appropriate guidance
Partner with scientists to understand biological questions and analytical needs
Apply computational methods to generate high-quality scientific insights
Build expertise in disease biology, drug discovery, and development
Learn how computational evidence supports scientific and portfolio decisions
Requirements
PhD in Computational Biology, Bioinformatics, Genetics, Genomics, Systems Biology, Biostatistics, Biomedical Engineering or related discipline
Master's degree with 2+ years of relevant experience
Nice to have: Experience in biotechnology, pharmaceuticals, healthcare, or biomedical research
Nice to have: Experience supporting drug discovery or development activities
Nice to have: Familiarity with AI-enabled scientific workflows
Field-based Medical Science Liaison (MSL) position in the bone therapeutic area within the US Medical Organization, interacting with Bone Opinion Leaders and Healthcare Decision Makers.
Locations (2)
Virginia, United States
West Virginia, United States
Compensation
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to relevant skills, experience, and qualifications.
Responsibilities
Serve as the field-based medical expert for this territory in the MSL group within the medical organization
Communicate accurate, clear, and valued information regarding our science and products to multiple levels within the medical community and report field observations to internal stakeholders
Support Scientific Engagement Plan (SEP) in developing local territory R&D tactics
Engage and educate healthcare stakeholders (including APPs, fellows, and residents) by communicating clinical and scientific data, advancing the scientific platform aligned with Amgen's corporate goals and objectives
Supports trial-level external-data activities, authoring and maintaining transfer specifications, coordinating with service providers/IT for accurate ingestion, performing completeness, reconciliation, and traceability checks, and supporting audit/inspection preparation.
Responsibilities
Gather external data requirements from protocols, service providers, and study stakeholders.
Develop external data specifications in accordance with standards, obtaining required stakeholder approvals.
Execute test and first-production file reviews to confirm adherence to approved external data specifications.
Monitor external data file loads, review error logs, and resolve or escalate issues as appropriate.
Support Specimen Lifecycle Management reconciliation and external data validation to ensure data are review- and lock-ready for CDM.
The TAS is a critical field-based role driving demand for BMS medicines within the Psychiatry portfolio by engaging Health Care Providers (HCPs) through scientific dialogue and clinical engagement.
Locations (3)
Pittsburgh, Pennsylvania, United States
Uniontown, Pennsylvania, United States
Greensburg, Pennsylvania, United States
Compensation
Field - United States - US: $139,230 - $168,714
Responsibilities
Promotes approved indications of BMS products within a defined territory or region
Creates demand for BMS medicines by articulating clinical and scientific rationale
Engages with and maintains strong professional credibility with regional thought leaders (RTLs) and community-based physicians
Prepares and implements comprehensive territory and account plans
The anticipated base pay range for this position is : $204,000.00 - $351,900.00
Responsibilities
Define and maintain the Immunology AI strategy
Lead strategic portfolio planning for Immunology AI
Create an integrated execution model across Immunology and enabling functions
Partner with Immunology scientific and development leaders
Provide technical leadership and informed challenges on AI solution design
Requirements
Advanced degree (PhD, MD, PharmD, MS, or equivalent) in computer science, AI/ML, engineering, biomedical sciences, computational biology, applied mathematics, data science, or a related scientific or technical discipline
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