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Matematiker

Matematiker

18 Lediga jobb

Director Data Science - Late CVRM at AstraZeneca

Arbetsgivare / Ort: Astrazeneca AB
Omfattning / Varaktighet: Heltid / Tills vidare
Lönetyp: Fast månads- vecko- eller timlön
Ansök senast 1 november (4 dagar kvar)
Publicerad: 2021-10-11
Källa: Arbetsförmedlingen
VISA MER
Om jobbet
Are you an experienced Data Scientist with a deep knowledge within Clinical Development? Are you also passionate about developing data science solutions to improve the lives of patients in the Cardiovascular, Renal and Metabolism (CVRM) area? Then, join us at AstraZeneca CVRM Biometrics and help us to achieve the next wave of breakthrough medicines aiming to make a difference for millions of patients! At AstraZeneca Biometrics, we are building a Data Science team that will harness data and use cutting-edge methodologies and models to drive scientific breakthroughs. We put patients first and strive to meet their unmet needs worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality, by doing the right things. We are now offering an exciting opportunity for a Director Data Science to join the build-up of a new data science group within Late CVRM Biometrics. This role is preferable based at AstraZeneca's dynamic R&D site in Gothenburg, Sweden, or Gaithersburg, US, and reports to Head of Data Science Late CVRM. What you'll do As the Director Data Science, you will contribute to the development and implementation of the data science strategy within the CVRM Therapeutic Area. In this role, you will be responsible for leading the delivery of a portfolio of data science projects as well as identifying new opportunities that will add business value. Through advanced analytics and visualizations of complex data, you will provide data-driven insights to help develop disease understanding and optimize study design and effectiveness. Additionally, you will contribute to or lead innovative strategic data science initiatives across Biometrics and the therapeutic area (TA). There will also be opportunities to explore new ideas and deliver creative and effective solutions, in collaboration with internal groups and/or external partners. How will you make a difference? In this role, you will: * Help develop and deliver a data science strategy for the TA - both for clinical and operational/business data * Identify new opportunities for application of data science in the TA that deliver value to patients and AstraZeneca * Establish and maintain effective collaboration with other internal Data Science organizations and external vendors and/or academic partners * Act as key expert and spokesperson for data science in the TA * Provide senior stakeholders and functional leadership teams with specific expertise and advice regarding the latest and most innovative approaches to data science and related technologies * Using domain-specific understanding, lead teams to translate business problems into the appropriate analytics problem and find solutions * Lead the adoption of ongoing knowledge and awareness in trends, standard methodology and new developments in analytics to influence functional practices and strategy * Representing skill/function internally and externally at seminars and meetings What you'll need: * MSc Degree in Mathematics, Computer Science, Engineering, Physics, Statistics, or a related quantitative discipline * Significant in depth experience in analyzing data, drawing conclusions and presenting in a succinct fashion to senior stakeholders, along with recommended actions * Significant experience in the analysis of data in applied business and/or scientific application domains * Computing skills: scientific computing, scripting and visualization of data (e.g. R, Python, Spotfire or PowerBI) and experience working with database systems (e.g. SQL, NoSQL, graph) * Experience in data mining; machine learning; statistics and visualization * Proven experience in leading and managing colleagues * Excellent written and verbal communication skills Desirable skills: * PhD in Mathematics, Computer Science, Engineering, Physics, Statistics, or a related quantitative discipline. * Experience in clinical development * Experience in a complex global organization Why AstraZeneca? At AstraZeneca we're dedicated to being a Great Place to Work. 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. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We're on an exciting journey to pioneer the future of healthcare. 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 October 31, 2021. We will review the applications continuously so please apply as soon as possible. Where can I find out more? https://careers.astrazeneca.com/biometrics #DataAI
Arbetsgivare
Astrazeneca AB
Ansökan
Ansök senast 1 november (4 dagar kvar)

Ansök här
VISA MINDRE

Senior Director, Statistical Programming - Late Stage CVRM

Arbetsgivare / Ort: Astrazeneca AB
Omfattning / Varaktighet: Heltid / Tills vidare
Lönetyp: Fast månads- vecko- eller timlön
Ansök senast 1 november (4 dagar kvar)
Publicerad: 2021-10-18
Källa: Arbetsförmedlingen
VISA MER
Om jobbet
Are you a Statistical Programmer with deep knowledge within clinical development? Are you also a skilled leader that wants to challenge your strategic mindset and management skills in a fast-paced and agile global team? If yes, join us at AstraZeneca Late-Stage CVRM (Cardiovascular Renal Metabolism) Biometrics and get access to our extensive capabilities and comprehensive pipeline where you'll be involved in a wide range of engaging projects aiming to make a difference for millions of patients. At AstraZeneca, we work at the cutting edge of science to develop the ground-breaking medicines of the future - here we do things that have never been done before. We put patients first and strive to meet their unmet needs worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality, by doing the right things. We truly understand science and use our unique scientific capabilities to deliver what we believe to be one of the most productive pipelines in the industry. And we do something that truly matters - using our skillset to make an important difference to society and patients across the globe. We get to make a profound impact with research that makes a clear and tangible difference. We are now offering an exciting opportunity for a talented and highly motivated individual to join us in the role as Senior Director Statistical Programming within Late CVRM Biometrics. This role is based at AstraZeneca's dynamic R&D site in Gothenburg (Sweden). What you'll do As the Senior Director Statistical Programming, you are accountable for the management of Programming on the therapeutic area/sub-therapeutic area level. In this role, you will provide significant input to the strategy of Programming and own the strategy for TA Programming. As Senior director, you will report directly to the Head of Programming, Metabolism. You will lead managers so to be successful in this role, strong leadership skills are crucial as well as a proven track record of managing a global team. The role also include establishing and ensure statistical programming, reporting, and clinical data standards for functional staff within a global organization. Essential for the role * Degree in Mathematical (i.e., Applied Math, Engineering, etc), Statistical, Computer Science, Life Science, or equivalent * Thorough knowledge of the clinical development process from development, launch through life cycle management * Ability to influence strategically and persuade tactfully to obtain desired outcomes while maintaining effective, positive, organizational relationships * Thorough knowledge of industry trends * Experience in leading highly successful global teams * R&D mindset * Business Acumen and experience of influencing and controlling budgets * Expert stakeholder management skills on a functional level Desirable for the role * Broad experience, ideally across multiple therapeutic areas and outside of the field of Statistical Programming * Willingness and ability to travel Why AstraZeneca? At AstraZeneca we're dedicated to being a Great Place to Work. 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. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We're on an exciting journey to pioneer the future of healthcare. 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 31st October 2021. We will review the applications continuously so please apply as soon as possible. Why AstraZeneca? AstraZeneca is a global, innovation-driven biopharmaceutical company 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. Where can I find out more? · Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/ · Follow us on Facebook https://www.facebook.com/astrazenecacareers/ · Follow us on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en
Arbetsgivare
Astrazeneca AB
Ansökan
Ansök senast 1 november (4 dagar kvar)

Ansök här
VISA MINDRE

Associate Director Data Science - Late CVRM

Arbetsgivare / Ort: Astrazeneca AB
Omfattning / Varaktighet: Heltid / Tills vidare
Lönetyp: Fast månads- vecko- eller timlön
Ansök senast 1 november (4 dagar kvar)
Publicerad: 2021-10-11
Källa: Arbetsförmedlingen
VISA MER
Om jobbet
Are you a Data Scientist with a good knowledge within Clinical Development? Are you also passionate about developing data science solutions to improve the lives of patients in the Cardiovascular, Renal and Metabolism (CVRM) area? Then, join us at AstraZeneca CVRM Biometrics and help us to achieve the next wave of breakthrough medicines aiming to make a difference for millions of patients! At AstraZeneca Biometrics, we are building a Data Science team that will harness data and use cutting-edge methodologies and models to drive scientific breakthroughs. We put patients first and strive to meet their unmet needs worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality, by doing the right things. We are now offering an exciting opportunity for an Associate Director Data Science to join the build-up of a new data science group within Late CVRM Biometrics. This role is preferable based at AstraZeneca's dynamic R&D site in Gothenburg, Sweden, or Gaithersburg, US, and reports to Head of Data Science Late CVRM. What you'll do As an Associate Director Data Science, you will contribute to set the data science strategy within the CVRM Therapeutic Area. It is expected that you will identify new opportunities from interactions with stakeholders and be responsible for planning, designing, and executing data science projects. Through advanced analytics and visualizations of complex data, you will provide data-driven insights to help develop disease understanding and optimize study design and effectiveness. Additionally, you will contribute to innovative strategic data science initiatives across Biometrics and the therapeutic area (TA). There will also be opportunities to explore new ideas and deliver effective solutions, in collaboration with internal groups and/or external partners. How will you make a difference? In this role, you will: * Contribute to the data science strategy for the TA * Identify new opportunities for application of data science in the TA that deliver value to patients and AstraZeneca * Using domain-specific understanding, lead teams to translate business problems into the appropriate analytics problem and find solutions * Establish and maintain effective collaboration with other internal Data Science organizations and external vendors and/or academic partners * Provide senior stakeholders and functional leadership teams with specific expertise and advice regarding the latest and most innovative approaches to data science and related technologies * Maintain a broad awareness of the evolving external environment and makes recommendations on outside technologies/approaches for company to pursue * Representing skill/function internally and externally at seminars and meetings What you'll need: * MSc Degree in Mathematics, Computer Science, Engineering, Physics, Statistics, or a related quantitative discipline * Significant in depth experience in analyzing data, drawing conclusions and presenting in a succinct fashion to senior stakeholders, along with recommended actions * Significant experience in the analysis of data in applied business and/or scientific application domains * Computing skills: scientific computing, scripting and visualization of data (e.g. R, Python, Spotfire or PowerBI) and experience working with database systems (e.g. SQL, NoSQL, graph) * Experience in data mining; machine learning; statistics and visualization * Proven experience in leading and managing colleagues * Excellent written and verbal communication skills Desirable skills: * PhD in Mathematics, Computer Science, Engineering, Physics, Statistics, or a related quantitative discipline. * Experience in clinical development * Experience in a complex global organization Why AstraZeneca? At AstraZeneca we're dedicated to being a Great Place to Work. 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. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We're on an exciting journey to pioneer the future of healthcare. 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 October 31, 2021. We will review the applications continuously so please apply as soon as possible. Where can I find out more? https://careers.astrazeneca.com/biometrics #DataAI
Arbetsgivare
Astrazeneca AB
Ansökan
Ansök senast 1 november (4 dagar kvar)

Ansök här
VISA MINDRE

Forskningsingenjör i datadriven strömningsmekanik

Arbetsgivare / Ort: Kungliga Tekniska Högskolan
Omfattning / Varaktighet: Deltid / 3 månader – upp till 6 månader
Lönetyp: Fast månads- vecko- eller timlön
Ansök senast 2 november (5 dagar kvar)
Publicerad: 2021-10-22
Källa: Arbetsförmedlingen
VISA MER
Kvalifikationer
Arbetslivserfarenhet
Krav
  • Matematiker

Om jobbet
KTH är ett av Europas ledande tekniska universitet och en viktig arena för kunskapsutveckling. Som Sveriges största universitet för teknisk forskning och utbildning samlar vi studenter, forskare och fakultet från hela världen. Vår forskning och utbildning omfattar såväl naturvetenskap som alla grenar inom teknik samt arkitektur, industriell ekonomi, samhällsplanering, historia och filosofi. Arbetsuppgifter Kandidaten kommer att arbeta med numeriska data om det turbulenta flödet i vingar, med syftet att 1) förstå några av de mest relevanta fysiska mekanismerna; och 2) att utveckla maskininlärningsmetoder för att förutsäga en kontroll av flödet, baserat på glesa mätningar. Kandidaten kommer att arbeta med ett tvärvetenskapligt team som involverar experter inom vätskemekanik, numerisk simulering och maskininlärning.  Vi erbjuder - En anställning på ett ledande tekniskt universitet som skapar kunskap och kompetens för en hållbar framtid - Engagerade och ambitiösa kollegor samt en kreativ, internationell och dynamisk miljö https://www.kth.se/om/work-at-kth/kth-your-future-workplace-1.49050 Kvalifikationer Krav - Avlagd examen på grundnivå eller avancerad nivå (högskoleutbildning) inom ämnet för anställningen eller motsvarande kompetens. - Ämnesskicklighet - Yrkesskicklighet. - Medvetenhet om mångfalds- och likabehandlingsfrågor med särskild fokus på jämställdhet. - Samarbetsförmåga - Självständighet - Erfarenhet av numeriska simuleringar av turbulenta flöden och datadrivna analysmetoder Meriterande Vi kommer lägga stor vikt vid personliga egenskaper. Fackliga representanter Du hittar kontaktuppgifter till fackliga representanter på https://www.kth.se/om/work-at-kth/fackrepresentanter-1.500898.  Ansökan Du ansöker via KTH:s rekryteringssystem. Du som sökande har huvudansvaret för att din ansökan är komplett när den skickas in. Ansökan ska innehålla: - CV inklusive relevant yrkeserfarenhet och kunskap. - Kopia av examensbevis och betyg från dina tidigare universitetsstudier. Översättningar till engelska eller svenska om de ursprungliga dokumenten inte utfärdas på något av dessa språk. - Personligt brev, max 2 sidor långt Ansökan ska vara KTH tillhanda senast sista ansökningsdagen vid midnatt, CET/CEST (CentralEuropean Time/Central European Summer Time). Om anställningen  Anställningen gäller tidsbegränsat enligt avtal - i upp till 6 mån, med tillträde enligt överenskommelse. Övrigt Strävan efter jämställdhet, mångfald och lika villkor är både en kvalitetsfråga och en självklar del av KTH:s värdegrund. För information om behandling av personuppgifter i samband med rekrytering https://www.kth.se/om/work-at-kth/processing-of-personal-data-in-the-recruitment-process-1.823440. Vi undanber oss direktkontakt med bemannings- och rekryteringsföretag samt försäljare av platsannonser.  
Arbetsgivare
Kungliga Tekniska Högskolan
Ansökan
Ansök senast 2 november (5 dagar kvar)

Ansök här
VISA MINDRE

Thesis work: Modelling of inhaled particle deposition in the lung

Arbetsgivare / Ort: Randstad AB
Omfattning / Varaktighet: Heltid / 6 månader eller längre
Lönetyp: Fast månads- vecko- eller timlön
Ansök senast 7 november (10 dagar kvar)
Publicerad: 2021-10-12
Källa: Arbetsförmedlingen
VISA MER
Kvalifikationer
Arbetslivserfarenhet
Krav
  • Matematiker

Om jobbet

Job description

Systematic evaluation of different approaches for modelling inhaled particle deposition in the lung

Are you currently pursuing a master’s degree with a burning interest in computational fluid dynamics and mathemathical modelling? Then this master’s thesis project at AstraZeneca might be of interest to you!

Thesis project: 30 credits
Student location: AstraZeneca, Gothenburg, Sweden
Start: January 2022

A focus for AstraZeneca Gothenburg is to develop inhaled drugs for the treatment of respiratory diseases such as asthma. A critical component in this work is to predict the deposition pattern of inhaled particles (i.e. where particles land following inhalation). This provides the initial conditions for computational models used for spatio-temporal predictions of inhaled drug concentrations in the lung. Furthermore, since all drug particles leaving an inhaler will not deposit in the lung, mathematical models are used to estimate the lung deposited dose.

AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development and commercialization of prescription medicines for some of the world’s most serious diseases. But we're more than one of the world's leading pharmaceutical companies. At AstraZeneca, we're proud to have a unique workplace culture that inspires innovation and collaboration. Here, employees are empowered to express diverse perspectives - and are made to feel valued, energized and rewarded for their ideas and creativity.

Responsibilities

This project aims at comparing how two different model approaches, computational fluid dynamics (CFD) and typical-path models, predict the regional drug deposition, and how this subsequently influences spatial predictions of pulmonary drug concentrations. Responsibilities include CAD-modelling in appopriate software, CFD-modelling in OpenFOAM and implementation of typical-path models in an appropriate language (e.g. Matlab, Python, R).

The project will also include a systematic comparison of different equations describing deposition by inertial impaction in typical-path models. Furthermore, if time permits, an investigation of improvements to the poor spatial resolution of typical-path models driven by the results from the CFD is of high interest. 

The work is to be conducted from January to June 2022, or as agreed with the student.

Qualifications

Essential Requirements
  • Experience with computational fluid dynamics
  • Scientific programming experience, e.g. MATLAB, Python or R
  • Pursuing a master’s degree in a relevant engineering discipline  
Desirable Requirements
  • Understanding of the discrete element method 
  • Experience in implementing and working with numerical methods
  • Experience with CAD modelling
  • Experience in OpenFOAM

Application

Randstad Life Sciences is cooperating with AstraZeneca in this recruitment process. We only handle applications sent through Randstad’s website.

All chosen candidates need to pass a background check and an alcohol and drug test before starting the project.

Deadline for application: 2021-11-07

For more information: Veronika Knudsen [email protected] or Kerstin Karlsson [email protected]

About the company

At AstraZeneca, we turn ideas into life changing medicines and strive to continuously meet the unmet needs of patients worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you’re our kind of person.

Our Gothenburg site is one of AstraZeneca's three strategic science centers. We thrive in a multinational environment working cross-functionally across the globe with AstraZeneca colleagues as well as academic and industry partners. Our way of life is to foster a working environment that nurtures collaboration, openness and innovation. Therefore, we have created space for meetings, socializing and relaxation, where spontaneous meetings can give birth to new innovations. The unexpected ideas or thoughts that can come from a chat over something as simple as a cup of  coffee or a stroll on our “walk and talk” meeting trail. 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.

Arbetsgivare
Randstad AB
Ansökan
Ansök senast 7 november (10 dagar kvar)

Ansök här
VISA MINDRE
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