Lediga jobb som Forskare, IT i Solna

Job description
We are now looking for a new team member for our client ECDC in Stockholm. You will work as a Junior Scientific Expert and support SMS Unit (Scientific Methods and Standards) and in particular the Scientific Process and Methods Section (SPM Section) with a focus on Mathematical Modelling. This is a temporary assignment starting immediately and three months forward. For the right person there is a good chance of extension. Randstad Life Sciences is specialized in competences within Life Science. As a consultant with us, you get a competitive salary, benefits and collective agreements. Your consultant manager is always there for you and ensures that you get varying and developing assignments at different companies, within different industries. At Randstad Life Sciences, your personal development is in focus, and you are offered a large network and many social activities. To apply, please submit your resume in the Europass CV format together with a motivational letter of maximum one page explaining which job specific expertise and personal characteristics that you would bring to the job. ECDC has introduced a hybrid working model with a minimum presence in the office of 2 days/week and you will need to be located in Stockholm or nearby.


The interim will report to the Group Leader of the SPM Section. Your responsibility includes:
Support the ECDC modelling team in the design, development and application of mathematical models to address public health questions
Managing service contracts with external contractors in liaison with procurement and finance sections at ECDC
Critically reviewing relevant and current literature and assess the value for the Modelling Team’s work
Maintain, apply, and develop mathematical modelling code for ECDC relevant projects
Contribute to establishing and sustaining mathematical modelling networks within Member States’ public health institutes and academic institutions
Building modelling capacity for the use in public health within ECDC and beyond



In addition to the profile specification, these specific competences and experience are required for the current assignment:
Education at university level within a scientific field relevant to ECDC’s remit (e.g. infectious diseases epidemiology, biomedical sciences, mathematics, applied mathematics, mathematical modelling or related), and first experience acquired in positions relevant to the job description
Either good R statistical language skills or other experience in using coding language to solve modelling problems
Very good MS office skills Good organisational and time management skills, including communication, documentation and reporting
Very good English language communication skills (spoken and written) Good scientific writing skills Experience in collecting (e.g., from peer-reviewed or preprint articles), summarising, critically evaluating and presenting scientific information
Willingness and capacity to work in a small team with multi-cultural and multi-professional background



Selection and interviews will be conducted continuously, with deadline 2023-12-03. The position may be filled before the final application deadline, so please apply as soon as possible.

Responsibilities
Support the ECDC modelling team in the design, development and application of mathematical models to address public health questions
Managing service contracts with external contractors in liaison with procurement and finance sections at ECDC
Critically reviewing relevant and current literature and assess the value for the Modelling Team’s work
Maintain, apply, and develop mathematical modelling code for ECDC relevant projects
Contribute to establishing and sustaining mathematical modelling networks within Member States’ public health institutes and academic institutions
Building modelling capacity for the use in public health within ECDC and beyond


Qualifications
Education at university level within a scientific field relevant to ECDC’s remit (e.g. infectious diseases epidemiology, biomedical sciences, mathematics, applied mathematics, mathematical modelling or related), and first experience acquired in positions relevant to the job description
Either good R statistical language skills or other experience in using coding language to solve modelling problems
Very good MS office skills
Good organisational and time management skills, including communication, documentation and reporting
Very good English language communication skills (spoken and written)
Good scientific writing skills Experience in collecting (e.g., from peer-reviewed or preprint articles), summarising, critically evaluating and presenting scientific information
Willingness and capacity to work in a small team with multi-cultural and multi-professional background


About the company

Europeiskt Cent f Förebyggande & Kontroll Av Sjukdomar
Randstad Life Sciences specializes in the field of natural sciences and is a part of Randstad, a global leader in recruitment and consulting operating in 38 countries. Through this global network and in conjunction with a robust local presence, we offer a diverse range of challenging and evolving assignments and roles for specialists in the life sciences field. Our mission is to assist you in achieving your full potential by focusing on your career Visa mindre

Do you want to be a key player in taking Vattenfall forward in the emerging energy landscape?
The energy sector is undergoing revolutionary change. Digitalization and the Internet of Things opens up new opportunities such as remote monitoring of distribution networks, increased efficiency and flexibility of production plant through automation and increased transparency and control for end users.
Using innovative solutions, Vattenfall R&D has group-wide responsibility for conducting business driven technical development that supports the company’s strategic focus areas. We are now looking to grow our in-house data analytics capabilities with another Data Scientist (Machine Learning specialist).
We offer you a flexible work environment where you will have the freedom to be creative, work and develop in an exciting and rapidly changing technical field of strategic importance to the company.

Your responsibilities
As a Data Scientist (ML specialist) you are expected to work together with the R&D Data Analytics team on full-cycle, end-to-end data science projects which requires leveraging state-of-the art machine learning techniques, statistical methods and other advanced analytics tools so as to deliver solutions to complex business problems. Through this role you will have the opportunity to collaborate and develop your career together with business domain experts and other experienced data scientists throughout the organization.
At R&D, the data analytics work deals with numbers, text, and images about and from Vattenfall's assets, operations, and customers to do prediction, description, automation, integration, optimization, and visualization using machine learning and other statistical methods, in languages such as R, Python, and Julia on (mostly) Microsoft's Azure platform. We are involved from start to finish in the process, as described below.
Framing and scoping advanced analytics projects for business development with stakeholders
Collecting, prepping, cleaning, and processing data in various types, formats and platforms
Exploring and mapping the complexities of reality and its representation in the data together with domain experts
Doing contextual analysis, explanatory models, and feature extraction/engineering
Developing novel algorithms and models
Parallelization of data processing pipelines
Testing, validating, and iterating points 3-6 until we (a) can deliver usable and relevant results or (b) understand why we cannot
Helping the stakeholders to understand and implement what we deliver (or recommending measures to be taken to achieve success)
Working with IT in putting prototypes and proof-of-concepts into production
Educating Vattenfall about data, advanced analytics, machine learning, and related topics

As part of the team, these tasks and responsibilities will also be your tasks and responsibilities.

Your Profile
Master of Science degree (or higher) in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or related areas
Preferably 3 years of work or research experience
Strong programming skills in various languages and analytics related tools with proficiency in Python and/or R
You have some experience in working agile
You are fluent in English

As a person you are analytical, inclusive, committed and self-driven as well as team player with good communication and interpersonal skills. You are passionate about understanding and solving problems and appreciate working towards deliverables. Furthermore, you are confident in your ability to perform most of the team's responsibilities and tasks on your own. We also believe you have the ability to innovate in regard to new ways of working.

Meritorious
R&D drives a wide variety of analytical problems from concept to production. Hence, the ideal candidate has both some width and some depth to his or her data science toolbox. Expertise in at least one or more of the following areas is considered as valuable:
Time series analysis/Signal processing
Deep learning
Image Recognition
Natural Language Processing/Text analytics
Big data/Cloud computing
IT integration/ Microsoft Azure


For information about the position please contact Jonas Alin, Director, Data Analytics & ICT Solutions +46 702 11 79 53. For information about the recruitment process you are welcome to contact recruiter Summer Lovlinger +46 701 945 664.

Location: Älvkarleby or Stockholm (Solna), Sweden or Kolding, Denmark

Trade union representatives in Sweden Annika Stålenheim (Akademikerna), Anders Bohlin (Unionen), Christer Gustafsson (Ledarna), Juha Siipilehto (SEKO). To get in contact with the representatives, please call Vattenfall´s switchboard +46 8 739 50 00.

We look forward to receiving your application with CV and cover letter via this page, no later than 12th September 2021.

At Vattenfall we are convinced that diversity contributes to build a more profitable and attractive company and we strive to be good role model regarding diversity. Vattenfall works actively for all employees to have the same opportunities and rights regardless of gender, ethnicity, age, transgender identity or expression, religion or other belief, disability, or sexual orientation. Please read more about it here: https://careers.vattenfall.com/about-us/diversityand-inclusion/

Vattenfall is a critical part of Sweden’s infrastructure and as such subject to a number of specific rules and regulations, in example security protection, nuclear non-proliferation and export controls. For these reasons there is an approval process prior to employment for a large number of positions. In addition, if candidates have applied for positions which will give them access to sensitive information or secured premises they must undergo a security vetting process in accordance with the Swedish Security Protection Act.
Öppen för alla
Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov. Visa mindre

Working at Extenda Retail
We are a growing business with a celebrated Employer Brand that recently got awarded as “The Breakthrough Company of the Year” by Universum and we are on a journey to further expand and become the leading champion of retail technology in Europe.
Extenda Retail is a leading software provider to global retailers. We help major retail chains with their digital business transformation by delivering innovative solutions and services that enable our clients to lead the retail technology revolution. We have an extensive client base across the Nordics and throughout Europe with our solutions being used in over 35 countries.
We offer you a workplace with a young and social work environment where you get exciting and professional challenges and to work alongside colleagues with high competencies.
Your mission
We are looking for a data scientist with experience in decision science, analytics, and/or business intelligence - able to improve and extend our Impact platform.
With your background and experience, you’ll be the driving force behind building the foundational data science analytical culture at Extenda Retail. And by doing so help us in becoming a leading Data Science driven company offering services and solutions using Machine Learning Technology to derive value from retailers assets; today’s ever-increasing data pool.
You will work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. also take on Data Engineering tasks or any other tasks as well, to turn the projects you are involved in, into success stories.
Responsibilities
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to datasets.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Maintain clear and coherent communication, both verbal and written, to understand data needs and report results to the clients and stakeholders.
Build production-level analytics deliverables using Python, , Tensor flow, Kubernetes.
Deploy and monitor your code in our Google Cloud environment.
Promote data science tools and technologies of your choice.
Be an advisor to the company on Data Security.
Be an AI/ML advocate.



We think you are...
A Strong problem-solving person with an emphasis on product development. You also have a proactive attitude that will bring a significant value to the organization by understanding what future challenges our architecture needs to solve. As you will bridge between teams within the organization it is important that you have the ability to communicate and engage around technology and engineering best practices. We also think that you are a natural leader with an analytical mindset who can use data to evaluate and decide on design options and technology choices




Skills and requirements
4+ years of industry experience in data science with a proven track record in complex and demanding projects and solutions.
Knowledge and experience in statistical and data mining techniques: Regression, Random Forest, Boosting, Trees, text mining, etc.
Experience creating and using advanced machine learning algorithms and statistics: regression, modeling, clustering, decision trees, neural networks, etc.
Professional experience in working with large, complex data sets (Big Data) from data processing to using mathematical techniques to build a predictive model.
Experience visualizing/presenting data for stakeholders using: Power BI, Tableau, Periscope, D3, ggplot, etc.
Technically capable across a range of technologies (Python, R, , etc.).
Experience working with big data frameworks (HDFS, Spark, Impala, Hive, ..etc.). and/or Cloud (e.g. Azure or Google) and/or Elasticsearch Stack is a big plus.
Experience working with Anomaly Detection or Time Series Analysis is a plus.
Google Cloud Platform and services
Strong experience with building analytics in scalable and production-level stacks and microservices.
Big plus relevant experience within the retail/e-commerce/marketing sector and/or having a background as a Data Engineer.
Fluent in English, verbal, and writing.
Google Professional Machine Learning Engineer certification or similar is a plus



Location
The position will be based in our head office in Solna, Stockholm. The
position may involve traveling to customers and other Extenda Group offices. Visa mindre

Data och Nätverkskoordinator (Data and Network coordinator)
SITS International är en icke-vinstdrivande stiftelse som driver ett ledande globalt patientregister och nätverk av internationella specialister inom stroke. Målet med verksamheten är att på global nivå höja kvaliteten på vården av strokepatienter samt att utveckla och höja kunskapen inom området genom att bedriva världsledande forskning inom strokevård och behandling. Det koordinerande kontoret för verksamheten är beläget i lokaler på Karolinska Institutet i Solna.
SITS International söker just nu en Data & Nätverkskoordinator på heltid! Arbetet går i huvudsak ut på att ta fram rapporter och enkel statistik, samt stödja, hantera och underhålla vårt internationella nätverk.
Du blir en viktig del av en liten organisation som arbetar i ett större internationellt sammanhang.


Arbetsinnehavaren ska ha följande färdigheter:
Förmåga att snabbt assimilera information/data, extrahera nyckelfrågor och presentera dem till våra användare.
Välutvecklad social kompetens och kommunikativa färdigheter, samt en hög förmåga att presentera och förmedla information.
Att ha förmåga att kommunicera på ett övertygande sätt, både internt och externt.

Språkkunskaper:
Flytande i svenska och engelska, både i tal och skrift. Andra språk är en fördel
Datorfärdigheter
Mycket goda datorfärdigheter i program som Excel och PowerPoint, samt andra dator och adminverktyg relevanta för positionen. Önskvärd med mycket goda datorfärdigheter.
Arbete med databas/register
Meriterande med erfarenhet från arbete med stora databaser och statiska program för att ta fram rapporter.
Studiesamordnare
Meriterande med erfarenhet från arbete med forskningsstudier, t.ex. kliniska eller epidemiologiska studier, som studiesamordnare, studiemonitor, skriva studieprotokoll och/eller sammanställa studierapport.


HUVUDANSVARSOMRÅDEN
Data och Nätverkskoordinering:
Ta fram rapporter och förbereda statistik från insamlade data till våra användare
Utveckla och upprätthålla ett effektivt system för att följa datakvalitet
Att aktiv hjälpa ansvarig forskare med studier baserad på data från SITS registret.
Sammanställa studierapport, tex. delrapport, interminanalys, slutrapport
Användarsupport
Även ändra arbetsuppgifter kan förekomma


Nätverkshantering, Stöd och Underhåll:
Producera nätverksrapporter, presentationer och nyhetsbrev
Stödja våra internationella nätverks- och forskningsaktörer
Planera, utveckla och genomföra nätverksplanen i samarbete med SITS ledningen och de övriga internationella nätverks- och forskningsaktörerna

Av andra färdigheter krävs
Att vara en lagspelare
Förmågan att lösa problem
Förmåga att ta initiativ och arbeta självständigt
Förmågan att multitaska och prioritera
Organisering- och tidshanteringsförmåga
God uppmärksamhet på detaljer



Arbetslivserfarenhet
Minst 2 års arbetserfarenhet med antingen IT, databas eller forskningsstudier
Utbildning
Minimum universitetsexamen (3-årig) Visa mindre