03/06/2024
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11.17.2023
Director of Decision Science – Statistical Innovation
Locations: Mississauga, Ontario, Canada
Job ID: R-183238
Date posted: 23/10/2023
At AstraZeneca, we pride ourselves on crafting a collaborative culture that champions knowledge-sharing, ambitious thinking and innovation – ultimately providing employees with the opportunity to work across teams, functions and even the globe.
Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week. Our head office and BlueSky Hub in downtown Toronto are purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects.
Our dedication to sustainability is also central to our culture and part of what makes AstraZeneca a great place to work. We know the health of people, the planet and our business are interconnected which is why we’re taking ambitious action to tackle some of the biggest challenges of our time, from climate change to access to healthcare and disease prevention.
We are recruiting a Decision Science Director to join our growing Statistical Innovation group. Our main focus is providing statistical methodology support for all phases of clinical development for AZ’s Cardiovascular, Renal & Metabolism and Respiratory & Immunology divisions together with specific targeted support for the Oncology division and the newly acquired Alexion division of AZ which specializes in medicines to treat rare diseases. You will complement the skills in the group by providing decision science solutions to problems faced in clinical development.
In this role, you will belong to the Early Biometrics & Statistical Innovation (EB&SI) department, where our data-centric focus helps us work efficiently and creatively to bring the right medicines to the right patients. Our teams use their expertise in statistics and programming to address drug development objectives and reduce uncertainty in product development, driving better business decisions with quantitative reasoning. As part of the Data Science & AI team, you’ll use technology at the forefront of science in a creative environment, with the scope to develop new statistical ideas and apply them in your work.
Main duties and responsibilities
You will provide key input as you use decision science to find solutions to problems at critical stages in the drug development cycle. Your key focus will be on producing pragmatic solutions, often within a tight time scale where the emphasis will be to deliver first, then refine and develop your solutions thereafter.
You will lead capability build in more than one of the following areas of decision science:
You will also provide expert consultancy on key issues for medical scientists working on clinical development plans and other key roles across the business where decision science can add value. This will involve leading and participating in strategic activities such as capability build projects, which can directly impact improvements to the way clinical trials are crafted and analysed in AstraZeneca. You will also be expected to interact with external scientists and regulators, through publications, presentations and cross-industry collaborations. There will also be a focus to proactively identify new areas where Decision science can contribute, developing collaborative relationships with the external scientific/academic community.
Requirements
Essential
Desirable
Great People want to Work with us! Find out why:
Are you interested in working at AZ, apply today!
AstraZeneca is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing AZCHumanResources@astrazeneca.com.
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
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11.08.2023
Coastal Fisheries Management and Policy:
Tenure-Track Faculty Position
Natural Resources and Environmental Management
University of Hawai‘i at Mānoa
Job Number 2023-02167, Apply Here
Continuous until filled, application review begins December 18, 2023.
We seek a candidate who will expand the expertise of our department and integrate undergraduate and graduate education with cutting edge research that serves the needs of the people of Hawaiʻi and the Pacific Island region. The successful candidate will have research expertise in decision science and/or risk analysis with a specific focus on management and policy for coastal fisheries, which can be construed broadly to include targeted, invasive, and/or threatened fish populations and other environmental challenges of federal, state, and community resource managers. The research program developed by the successful candidate will emphasize decision-making, quantitative/qualitative modeling to evaluate consequences and trade-offs of potential management actions, and the generation of results with clear and tangible benefits to resource management agencies. The successful candidate will have excellent teaching and mentoring skills that enrich the department’s undergraduate and graduate degree programs course offerings. The candidate should also have a strong desire to collaborate across the University of Hawai‘i System to build and grow a world-class fisheries science graduate program. NREM’s mission is to weave knowledge systems, build capacity and leadership for stewardship in Hawaii, and create scalable, holistic solutions to local and global environmental challenges. Our department is part of the land-grant College of Tropical Agriculture and Human Resources, the founding college of UH. More information about NREM is available at https://cms.ctahr.hawaii.edu/nrem/.
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01.31.2023
BODILY BICENTENNIAL PROFESSORSHIP IN ANALYTICS| University of Virginia | Darden School of Business
Location: Charlotsville, Virginia.
Extraordinary opportunity to take a break from your normal responsibilities to capture in writing and media your contributions to Analytics, including Data Science
The Darden School of Business at the University of Virginia invites applications for an analytics Professorship. We are actively seeking an exceptional business and/or academic leader with real world experience, who has contributed innovative methodology and practice to analytics. This leader will take a break from their normal activities to create, write, and present at Darden. This will add to their professional credentials and refresh the individual professionally. This appointment will strengthen the School and the University of Virginia by growing the capabilities of tomorrow’s leaders in the areas such as data science, decision analysis, decision making, statistical forecasting, artificial intelligence applications, optimization, and uncertainty models for real-world problems. The successful candidate will have an opportunity to interact and collaborate with faculty experts in the field of data science at Darden and the School of Data Science. The products of the collaboration will ensure Darden can offer a unique contribution to analytics focused on helping practicing managers use analytics for decisions to drive strategy and business success.
Characteristics of Holders of the Professorship: The successful candidate will have made and will show promise of continuing to make advances in analytics practice and methods. They will be those who can make the greatest impact on the world through taking to time to share their work. Thought leaders from around the globe would be eligible for the award, whether from academics or management practice or government organizations.
Roles and Responsibilities: The primary activity will be to capture in media and writing the innovations they have made, interact with Darden and UVA colleagues, present their contributions, and share their work to the world. In addition, they will take time to further develop their contributions and innovations. The holder of the professorship will not have responsibility for Darden courses, although they will from time-to-time teach class sessions or deliver presentations to the Darden community.
The awardee will either be full-time in residence at the Darden School for 4-8 months of the year of their appointment, taking a leave-of-absence from existing responsibilities, or will dedicate part time to give a similar overall time equivalent. This time will primarily be spent at the Darden School with the option of some virtual connection periods. The successful candidate is encouraged to immerse themselves in the Darden/UVA community. To support their efforts, office space and administrative assistance will be provided.
Presentation and Associated Documents: In accepting the Professorship, the awardee will commit to making a presentation of their best work to students, faculty, and interested members of the Darden and UVA community during the year of the award. In addition, the recipient will commit to work with the Darden School to disseminate their ideas and scholarship to the world. This will include posting on the Darden website the presentation and additional support documents representing the vision of the work and contribution to improving the world. Once the website is established, it will be linked from news sites, blogs of thought leaders, and compendia of consulting and scientific firms.
Duration: The professorship will be given for a one-year period (not necessarily exactly matching a calendar or academic year) with a flexible start and end date. The award may be renewed for one additional year, as determined by the Advisory Board. It may be awarded to a prior recipient, providing there has been at least one award of the Professorship between the prior award and a subsequent award.
Nomination Procedures: Anyone may nominate candidate(s) for the Professorship and self-nominations are encouraged. To apply or nominate, email AnalyticsProfessorship@Darden.virginia.edu
If you are self-nominating please provide a CV, information about why you would be a good candidate and what you hope to produce while at Darden. Successful candidates will need to provide references as well.
For those nominating someone else, please include in your email contact information for the nominee and why they should be considered.
To see additional information about the Professorship, visit the website: https://www.darden.virginia.edu/bodily-bicentennial-professorship-analytics or download HERE.
The Darden School of Business is a top-rated global business school. The University of Virginia is regarded as one of the nation's finest public universities. Charlottesville is consistently ranked among the best places to live in the United States. See below for more information about UVA and the surrounding Charlottesville area. The University of Virginia, including the UVA Health System and the University Physician’s Group are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspective and lived experiences. We are equal opportunity and affirmative action employers. All qualified nominations will receive consideration without regard to age, color, disability, gender identity, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.