Are you an experienced biostatistician/epidemiologist looking to make a difference by turning scientific ideas into life-changing medicines? Are you excited by the opportunity to make your mark as you do something rewarding for patients, healthcare and our wider society? If this matches your ambition and skills, then you might be the person we are looking for!
This is an exciting time to join our brand-new growing Experimental Medicine team in the Translational Science and Experimental Medicine department within the Early Cardiovascular, Renal and Metabolism therapeutic area at AstraZeneca in Gothenburg (Sweden), Cambridge (UK) or Gaithersburg (US).
AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious disease. At AstraZeneca we’re dedicated to being a Great Place to Work where we foster an inclusive culture that champions diversity and collaboration, commitment to lifelong learning, growth and development, and where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients, and society.
Early Cardiovascular, Renal and Metabolism (CVRM) is accountable for the discovery and development (up to phase II) of new medicines within three main strategic areas - cardiovascular/heart failure, metabolism (diabetes and NASH) and chronic kidney disease. The Translational Sciences and Experimental Medicine (TS&EM) Department within Early CVRM has the remit to bridge early and late drug development by providing: i) target validation in humans; ii) biomarker strategy (target engagement & proof of mechanism biomarkers); iii) precision medicine strategies; and iv) human data-driven novel target identification. Experimental Medicine team delivers studies in humans, including (but not limited to) patient cohorts deep phenotyping, omics characterization, ex vivo experiments on human tissues/cells, to execute on the TS&EM remit.
Main Duties and Responsibilities
As a Biostatistician, you will be a key member in the Experimental Medicine team, and your responsibilities will include: statistical support for observational Experimental Medicine studies and exploratory biomarker studies, involving power and sample size estimation, study design, SAP, analysis, interpretation, and communication of results; scouting for and implementing/internalizing novel statistical methods/datasets to drive innovation; staying up to date with the field and engaging in academic collaborations. You will work closely with other Experimental Medicine team members (Experimental Physician, Experimental Scientist) as well as collaborate with other TS&EM colleagues and other functions within Early CVRM.
Essential for the role
PhD or experienced MSc in biostatistics, epidemiology, health informatics, data science or similar
Strong hands-on skills in statistical data analysis and knowledge in the following areas: experimental design, linear/nonlinear models, mixed effects, machine learning, image analysis, time-to-event analysis
Experience working with patient clinical variables, electronic health records, population epidemiology data
Expertise in outcome prediction, defining end-points, construction of composite phenotypes, unsupervised and supervised clustering approaches
Ability to follow SOPs and handle patient data according to the internal and external policies and legal requirements for consent and privacy
Strong collaborative skills and ability to deliver as part of a cross-functional team
Excellent interpersonal and presentation skills, especially when communicating statistical concepts to non-statisticians
Peer-reviewed publications track record
Desirable for the role
Biotech/pharma industry experience, understanding of drug development
Experience working in the areas of precision medicine, biomarkers, omics
Scientific knowledge in either cardiovascular, renal or metabolic diseases
Experience in supervision of students, coaching junior colleagues
Experience of working with external vendors, CROs, collaborators
So, what’s next?
Are you already imagining yourself joining us? Good, because we can’t wait to hear from you! Welcome with your application (CV and cover letter) no later than August 31, 2021.
For more information about the position please contact hiring manager: Anna Reznichenko, firstname.lastname@example.org
We will review the applications continuously so please apply as soon as possible.
Opportunity: Experimental Medicine Biostatistician
Locations: Gothenburg, (Sweden), Cambridge (UK), Gaithersburg (US)
Salary: Competitive, with excellent benefits