Quantitative Scientist - Biological insights
AstraZeneca AB / Datajobb / Göteborg
2022-03-14
Observera att sista ansökningsdag har passerat.
➡️ Klicka här för den senare publicerade platsannonsen "Quantitative Scientist - Biological insights" (publicerad 2022-04-21) ⬅️
Visa alla datajobb i Göteborg,
Mölndal,
Partille,
Kungälv,
Lerum eller i
hela Sverige Visa alla jobb hos AstraZeneca AB i Göteborg,
Mölndal,
Södertälje,
Solna,
Stockholm eller i
hela Sverige Are you motivated by using your data science skills to drive biological insights and are seeking a role where your expertise can make an extraordinary impact? This is an opportunity to join a dynamic and enthusiastic environment, whilst delivering critical support to drug discovery projects.
At AstraZeneca, we harness digital, data science & AI to fast-forward our research. Making sure the work born in a lab can make a real difference in the real world. Working here means thinking big, taking responsibility, and working together to deliver impact from our contributions that make the impossible a reality. Join a place built on innovation and creativity!
As we expand our operations within the data science domain, we are looking for a Quantitative Scientist to join our team at our vibrant AstraZeneca R&D site in Gothenburg, Sweden. This position is located within the Data Sciences & Quantitative Biology department - a global, diverse and delivery focused department where we collaborate to support drug projects striving to impact patients' lives. In partnership with our experimentalist colleagues and other data scientists, we provide computational analysis and solutions to enable and improve output from our technical platforms driving our drug discovery efforts.
What you'll do
You will work as part of a team passionate about improving our ability to validate drug targets in pre-clinical models of disease. You will work closely with a variety of colleagues with complementary skills and experience, both within and beyond our department, to improve the quality and impact of your work. In your role will focus on optimizing the way that we choose our pre-clinical models of disease to validate targets.
Being responsible for developing and internalising appropriate algorithms, techniques and datasets you will advance our ability to translate disease targets. You will also enhance our data analysis capabilities on complex, high-dimensional omics data to identify opportunities for target translation.
We truly believe that everyone contributes with a unique set of competence. Your curiosity and passion for personal development combined with support from colleagues, mentors and leaders, will ensure you maximise your potential and contribution, building from your current skills, abilities and experience.
Essential for the role
Our team is a highly collaborative group of scientists, working in a constantly evolving technical and scientific landscape. Therefore, you'll have to be comfortable working at a fast pace, with a team-focused approach. You have excellent communication skills and a proactive, delivery-focused approach.
We believe you have a passion for driving scientific questions. The ability to receive and analyse input from multiple sources and based on this formulate a focused course of action. You have a consistent track record of delivering analytical solutions for business or academic needs. You can work independently and have a positive, result-oriented and problem-solving attitude.
* PhD - or equivalent numbers of years of experience post-degree - in bioinformatics, biological sciences, engineering, computational sciences or a related field
* General understanding of molecular biology, cell biology, and human physiology
* General knowledge of sequence-based bioinformatics
* Competency in a coding language such as R or python
Desirable for the role
* Comfortable working with high performance computing and cloud environments
* Good background in establishing data/information pipelines and applying best practice
* Familiarity with design of experiments
* Hands-on practice in omics analysis for example RNAseq
* Experience in delivering value in a dynamic, iteratively working team and via collaboration with other teams
* Experience in working with data sources relevant to drug development or biomedicine
* Experience with developing shiny apps or equivalent applications
Why AstraZeneca Gothenburg?
Our Gothenburg site is one of AstraZeneca's three strategic R&D centres. Here, you'll feel a global atmosphere in a multinational environment. Collaboration comes in all forms - across teams, functions, countries and even companies. With more than 2,400 employees from over than 50 countries, our vibrant Gothenburg site is a truly inspiring place to work. Here, the history and future of scientific breakthrough come together. We believe that the diversity of our people is crucial to bringing new discoveries to life.
So, what's next!
If your passion is science and you want to be part of a team that makes a bigger impact on patients' lives, then there's no better place to be.
We look forward to find out more about you. Send in your application as soon as possible, but no later than the 11th of April 2022. We will review applications continuously.
For more information about the role, the team or working for AstraZeneca, please contact the hiring manager Natalie Van Zuydam,
https://www.linkedin.com/in/natalie-van-zuydam-03417625/.Where can I find out more?
Our Gothenburg site:
https://www.astrazeneca.com/our-science/gothenburg.htmlLife in Gothenburg:
https://www.astrazeneca.se/om-oss/verksamheten-i-sverige/goteborg/relocate-to-gothenburg.htmlAstraZeneca R&D:
https://www.astrazeneca.com/r-d.htmlVaraktighet, arbetstid
Heltid Permanent
Publiceringsdatum2022-03-14ErsättningNot Specified
Så ansöker duSista dag att ansöka är 2022-04-11
Klicka på denna länk för att göra din ansökanFöretagAstrazeneca AB
Arbetsgivarens referens Arbetsgivarens referens för detta jobb är "R-133033".
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Astrazeneca AB (org.nr 556011-7482)
Arbetsplats AstraZeneca
Jobbnummer 6433529
Observera att sista ansökningsdag har passerat.