Data Scientist

Safety Data Scientist, AstraZeneca Gothenburg
Arbetsgivare Statistikkonsulterna Jostat & Mr Sample AB
Utdelningsadress Drottninggatan 26
Besöksadress Drottninggatan 26
411 14 GÖTEBORG
Tel 031-7037370
http://www.statistikkonsulterna.se
Arbetsplatsen
belägen i kommun Göteborg
Platsbeskrivning Yrke : Data Scientist
Antal platser: 1




Statistikkonsulterna Jostat & Mr Sample AB are now looking for a Data Scientist for assignments at AstraZeneca. Employer: Statistikkonsulterna Jostat & Mr Sample AB City: Göteborg.


Safety Data Scientist


The Safety Data Scientist will support Safety Analytics group and AZD1222 project team by deriving insights through the analysis of data from clinical trials, internal and external safety databases, real-world data from EMR and claims using statistical, machine learning and / or AI methodologies. This will include the ability to select and manipulate diverse types of data (structured and unstructured) prior to analysis, the development of advanced modelling algorithms, the presentation of data to help impart insight as well as the ability to articulate the implication of such insight. As well as undertaking analytics activities, this role will help define and build data science enablers such as good practise frameworks, validation strategies, algorithm libraries and enabling tools and components. She/he will support the development, training and coaching of junior members of the safety analytics team ensuring the delivery of relevant high-quality algorithms and insights. Importantly she/he will typically engage directly with stakeholders from PS CoE and TA groups towards understanding the problem, developing the appropriate analytics strategy and ensuring value creation from the insight. A key part of this senior role will be the evangelization of possible analytics safety solutions and the Art of the Possible in this emerging field within and outside PS CoE.


Typical Accountabilities


• Lead analytics projects in close partnership with diverse stakeholders from Patient Safety Center of Excellence and AZD1222 project team
• Develop an understanding of organizational priorities and early insight into changing project needs
• Propose and deliver analytic solutions including applied statistics and machine learning to elucidate key insights form data or build self-service tools
• Develop software solutions or self-service tools with the appropriate compliance requirement
• Translate unstructured and complex safety questions into the right data science problems, predictive models, statistical tests, and analytical solutions
• Select and apply right methods for analysis and interpret the results in close partnership with PS stakeholders
• Develop a robust understanding of safety, clinical, and real-world data sources, their structure, provenance, and quality
• Apply data wrangling when necessary and always ensure good programming practise are used
• Train, lead and mentor junior members of the group
• Delivers subject matter expertise for analytics across stakeholders from the PS organization.
• Maintain an external focus and visibility through attendance at external meetings, conferences, consortia, and where relevant, support external presentations / publications to validate the corporate reputation of AstraZeneca
Education, Qualifications, Skills and Experience

Essential
• MSc or Ph.D. degree in Computer Science, applied statistics, or related quantitative field.
• Expertise in programming languages, especially R/ Python and SQL.
• Understanding of widely used statistical methods and machine learning algorithms
• Experience visual analytics tools, cloud computing, and version control
• Ability to translate a business problem to a data science problem and to reverse-translate the results to tell a compelling story
• Highly developed analytical and conceptual thinking, with the ability to understand multiple, complex business needs and to prioritize them
• Familiarity with clinical, safety, and real-world data
• Proven record of leading analytical solutions to address research/business problems.
• Experience of leading projects in a matrix environment with multiple stakeholders
• Excellent written and verbal communication skills
• Proficient in English, both spoken and in writing
• Exerting Influence Without Authority.
Desirable
• Prior experience of working in a pharmaceutical or biotechnology company
• Experience with longitudinal data analysis
• Familiarity with deep learning algorithms applied to natural language processing
• Experience of enabling innovation and managing change involving many stakeholders
• Familiarity with vaccine safety surveillance
• Experience in working across different geographic locations, organizations, and cultures.
• Ability to train, develop and mentor junior data scientists
• Ability to spot new opportunities for applying analytics solution


Statistikkonsulterna has since 25 years profiled in statistics and mathematics and now consists of 12 qualified statisticians and a large network of universities and colleges. Statistikkonsulterna is focusing on staff development through internal and external training and seminar and conference participations. Several of Statistikkonsulterna's employees are also active partners.


Statistikkonsulterna has framework agreement with Volvo companies, CEVT, Scania, AstraZeneca, IKEA of Sweden, SCA, MHC TetraPak. Furthermore, we also perform research-related projects for universities, hospitals etc.


Statistikkonsulterna is SAS Silver Partner and an active member of Swedish Statistical Association and ESOMAR SFK.


Statistikkonsulterna has access to and experience in SAS / Base, SAS / Enterprise Guide, SPSS, R, and Minitab. Furthermore, we have expertise in programming and SQL.
More up to date information is available on our website: http://www.statistikkonsulterna.se


Interviews will be conducted continuously. Please apply as soon as possible, but not later than 28 aug 2020.
For further information please contact Mats Rudholm
(email: mats.rudholm@statistikkonsulterna.se)


Varaktighet 6 månader
Tillträde asap
Arbetstid/Varaktighet Heltid
Lön Fast månadslön
Kontaktpersoner Mats Rudholm
mats.rudholm@statistikkonsulterna.se
Ansökan Sista ansökningsdag 2020-08-28.
Övrigt om ansökan Ansökan skickas via e-post; mats.rudholm@statistikkonsulterna.se
Ansökan via e-post mats.rudholm@statistikkonsulterna.se