AstraZeneca Pharmaceuticals LP Associate Principal Scientist Biostatistics / Bioinformatics in Gothenburg, Sweden
Do you have expertise within Biostatistics and Bioinformatics? Would you like to apply your expertise in a cross-functional role at a company that are following the science and turn ideas into life changing medicines? Then you might be the one we are looking for!
We are now recruiting an Associate Principal Scientist Biostatistics / Bioinformatics to join the Translational Science (TS) department within the Cardiovascular and Metabolic Diseases (CVMD) therapeutic area at AstraZeneca in Gothenburg.
CVMD is one of the three main therapeutic research areas within Innovative Medicines and Early Development (IMED), AstraZeneca’s small molecule biotech unit that deliver candidate drugs into late-stage clinical development. CVMD TS has the remit to bridge pre-clinical, early and late drug development by providing early target validation in human and by driving precision medicine approaches through biomarker science. The Bioinformatics team within TS works within cross-disciplinary drug project teams throughout the discovery and translational pipeline driving new target discovery, pre-clinical and clinical research.
As an Associate Principal Scientist Biostatistics/Bioinformatics you will be part of a team that is advancing precision medicine concepts, driving a new generation of CVMD targets and validating existing portfolio targets. You will play a key role in supporting pre-clinical and early clinical projects or patient studies to drive human target validation, experimental models evaluation and biomarkers discovery. You will work closely with your peers who are experts in cardiometabolic disease biology, genetics, systems biology and machine learning.
Main Duties and Responsibilities
Deliver robust biostatistics and bioinformatics data package to support portfolio projects progression, new targets and biomarkers discovery across all CVMD research areas.
Responsible for leading the biostatistics efforts within TS and making key contributions to the TS project plans, collaborations and scientific strategies.
Work closely with TS members and fellow CVMD discipline leaders and teams to leverage statistical methodologies, contribute to experiment/study designs, write and implement the Statistical Analysis Plan (SAP), and interpret analysis results.
Ensuring access and deployment of state-of-the-art statistical methods and modalities towards furthering CVMD bioinformatics strategy.
Collaborate with biostatistics and bioinformatics experts across different functional units within AstraZeneca to leverage best practices in trans-omics molecular, clinical and phenotypic data analysis and integration.
Design and apply innovative statistical/computational/machine learning approaches and data visualizations techniques to: (I) Identify and characterize CVMD disease drivers, molecular targets, mechanisms and biomarker hypotheses; (II) Generate actionable biological insight from genomic data; (III) Link multi-omics data sets from patients and in vitro/vivo models with relevant clinical datasets and biomarkers.
PhD in statistics, biostatistics, computer science, mathematics or related field (or equivalent graduate degree and experience) and 3-5 years post-doctoral or industrial experience.
Deep expertise in biostatistics, multivariate data analysis and statistical learning.
Broad experience in statistical data analysis, and knowledge of at least some of the following areas: experimental design, linear/nonlinear models, mixed effect models, exploratory biomarker, diagnostic analyses, applied Bayesian statistics, data mining, and statistical learning.
Programming proficiency and experience with: (I) Statistical and computational: R, SAS, JMP, Spotfire, and Matlab; (II) Progamming environment: Unix/Linux; (III) Programming languages: Python, Perl; (IV) Bioinformatics: Bioconductor, IPA; (V) Database management systems.
Proficiency in analyzing and interpreting data from multiple omic platforms in association with clinical and phenotypic datasets.
Demonstrated effectiveness working on a multidisciplinary team to achieve team objectives.
Excellent consulting, communication, and presentation skills, especially in communicating statistical and bioinformatics concepts to non-experts in these domains.
Good project management and matrix leadership skills. Ability to collaborate well with non-statistical functions.
An excellent publication track record in the field.
Excellent English, both spoken and written.
Working knowledge of genetics/genomics and computational biology.
Experience of leading statistical efforts aligned to drug discovery.
Understanding of the biological systems and signaling involved in any of these cardiometabolic diseases - HF, T2D, CKD or NASH.
Experience using data science techniques for: (I) Time series and real-time data analytics; (II) Real world evidence/electronic health records; (III) Predictive machine/deep learning, with a focus on techniques revealing actionable biological insight from feature use and predictive rules; (IV) Mathematical, Boolean and/or computational modeling of human disease mechanisms; (V) Graph and Network Biology techniques.
If you are interested, apply now!
For more information about the position please contact hiring manager Chanchal Kumar +46 72 242 43 66 or firstname.lastname@example.org
Welcome with your application no later than April 1, 2018.
Placement: AstraZeneca R&D, Gothenburg, Sweden
AstraZeneca is a global, innovation-driven biopharmaceutical company that focuses on the discovery, development and commercialization of prescription medicines for some of the world’s most serious diseases. In addition to being one of the world's leading pharmaceutical companies, AstraZeneca is proud to provide a unique workplace culture that inspires innovation and cross-boundary collaboration. Within this environment employees are empowered to express diverse perspectives, and are made to feel valued, energized and rewarded for their ideas and creativity.
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law. AstraZeneca only employs individuals with the right to work in the country/ies where the role is advertised.