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American Association for Cancer Research · 3 months ago

Senior Scientific Program Administrator

Philadelphia, PA

Full-time

Onsite

Mid, Senior Level

3+ years exp

The American Association for Cancer Research (AACR) is the largest organization dedicated to advances in cancer research. They are seeking a highly skilled Senior Scientific Program Administrator to support the administration and coordination of the AACR Data Science Task Force, collaborating with experts in data science and cancer research to manage deliverables and foster innovation in cancer research initiatives.

BiotechnologyHealth CareMedicalService Industry

Responsibilities

Collaborate with the chair(s), subject matter experts, VP, and AACR leadership to manage the task force, ensuring that task force activities, communications, meetings, events, and deliverables are well coordinated

Assist the task force in achieving key deliverables, such as projects, meetings, conferences, and workshops

Support research grants, produce scientific publications and white papers, contribute to fundraising ideas, develop awareness materials, and work on policy guidelines

Establish and manage subcommittees within the Data Science Task Force and help achieve key deliverables under the guidance of the chair

Oversee the preparation and maintenance of records, reports, and webpages related to the task force’s work

Serve as the lead writer of meeting minutes, ensuring accurate and comprehensive documentation of discussions, decisions, and action items from task force meetings

Maintain accurate and organized repositories for task force activities, ensuring accessibility for relevant stakeholders

Support the development of content and resources for the task force and relevant scientific projects

Work closely with the chair, subject matter experts, and VP to stay up to date on emerging trends in biomedical data science, artificial intelligence, machine learning, cancer informatics, therapeutics, challenges, and issues related to cancer research

Collaborate with the VP to propose solutions that guide discussions

Schedule and organize meetings, including regular check-ins with the task force and other stakeholders, and assist with coordinating other scientific initiatives

Perform related duties and responsibilities as needed to ensure the smooth operation of scientific initiatives and task forces

Assist with administering data science-related grants to stay updated on the latest advancements and emerging trends in data science

Qualification

BioinformaticsBiomedical data scienceMachine learning applicationsComputational toolsStatistical methodsData standardsProject managementAnalytical abilitiesWritten communicationVerbal communicationInterpersonal skillsAttention to detailTeamwork

Required

PhD in data science, computational biology, bioinformatics, or a related field, preferably with a focus on cancer research

Candidates with 3+ years of postdoctoral training or equivalent professional experience in a relevant area are strongly encouraged to apply

At least 3-5 years of scientific experience beyond postdoctoral training is expected

Expertise in leveraging advanced computational, statistical, and technological approaches to drive cancer research and improve clinical care

Experience with multi-stakeholder collaborations, committee coordination, or large-scale data science initiatives is highly desirable

Bioinformatics

Development and application of technology platforms to accelerate cancer research and enhance patient care

Biomedical data science and machine learning applications in oncology

Computational Tools and Analytical Methods

Creation and utilization of software and resources for analyzing large-scale genomic and biomedical data

Integration and application of artificial intelligence (AI) tools in research and clinical settings

Biostatistical methods for clinical trial design and preprocessing high-dimensional data

Establish and apply computing standards for reproducible, efficient cancer data science

Development of mathematical models and experimental methods to test computational predictions

Ability to help establish standards, resources, and models for Data Science

Excellent written and verbal communication skills

High level of motivation with excellent judgment and well-developed analytical abilities

Proven organizational and project management skills

Ability to work both independently and in a team environment, demonstrating adaptability and initiative

Strong professional and interpersonal skills, including working effectively in a team setting with AACR colleagues, members, and leaders, as well as external professionals

Precise attention to detail and ability to manage competing priorities simultaneously

Professional demeanor and commitment to following through on projects