Associate Principal Scientist/Senior Scientist, Data scientist
AstraZeneca AB / Kemiingenjörsjobb / Göteborg
2023-08-24
Observera att sista ansökningsdag har passerat.
➡️ Klicka här för den senare publicerade platsannonsen "Associate Principal Scientist/Senior Scientist, Data scientist" (publicerad 2024-03-14) ⬅️
Visa alla kemiingenjörsjobb 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 a forward-thinking and curious Bioinformatician with skills in large scale omic analysis? Do you also want to improve the way we discover and develop medicines? Welcome to join AstraZeneca!
We are looking for an experienced bioinformatician to join our Data Science & Bioinformatics team. You will be part of the Translational Science and Experimental Medicine (TSEM) department in the Respiratory and Immunology therapeutic area. As a department we promote an open and collaborative atmosphere, with a culture that is both science-based and patient-focused. Our mission is to understand disease mechanisms at the molecular level, identify the most effective targets and the right patient populations.
This role is located at one of our sites in either Gothenburg (Sweden) or Gaithersburg/Waltham (US).
Be encouraged and supported to think creatively in our dynamic environment. Here we are free from fear of failure, free to ask the right questions and make bold decisions. We harness digital, data science & AI to fast-forward our research. Making sure work born in a lab can make a real difference, every day, impacting patients' lives across the world.
What you will do
In this role, you will work in a highly cross-functional and thriving environment together with specialists in sequencing, immunological and respiratory disease, as well as with other data science & bioinformatics experts.
For this role we are looking for an outstanding bioinformatician or data scientist to enable translational science via integration of large-scale omics, clinical, real world evidence and literature data to deliver precision medicine within our pipeline. You 'll be identifying novel targets and patient sub-groups through innovative data analysis approaches including utilization of clinical cohort omic data sets.
Depending on your previous experience, your initial career level will be an Associate Principal Scientist or Senior Scientist.
Essential for the role
*
MSc with extensive industry experience, or preferably, PhD or equivalent in bioinformatics, data science, statistics, biostatistics, mathematics, or another similar subject area.
*
Experience and proficiency in large-scale omic data analysis, integration and interpretation is a requirement. Omics could include transcriptomics, proteomics (Olink, LC/MS), genomics, and other types of next generation sequencing (NGS) such as single cell or chromatin state approaches.
*
A good understanding of life sciences and how omics data can be utilised to derive biological insight will be a minimum requirement. Experience from applying this across different phases of pharmaceutical discovery and development is a preference.
*
Outstanding communication and collaboration skills, both with experts and non-experts, and with peers as well as stakeholders is expected.
*
Excellent coding skills in Python, R, or similar language appropriate for large scale omics analysis and experience with version control (Git/Bitbucket) is essential.
Our team is a collaborative group, so the ability to be comfortable working in a goal-oriented way, with a team focused approach is central to be successful in the role. Furthermore, we believe you have great communication skills, a high degree of independence and a proactive and delivery focused approach.
Desirable for the role
*
Experience in pharmaceutical R&D and knowledge of relevant disease areas, and experience in precision medicine.
*
Track record of applying bioinformatic analysis to drive projects in drug discovery or development in an industrial or academic setting.
*
Molecular understanding of human diseases, patient stratification and biomarker-based endpoint generation, preferentially in respiratory and immunological disorders.
*
Broad experience applying machine learning methods such as random forests, clustering, dimensionality reduction in a systems biology or systems medicine context.
*
Good understanding of network biology and data integration.
*
Working in a Linux environment, ideally with experience of cluster or cloud computing (e.g. AWS or Azure).
*
Post-doc experience or otherwise relevant data science research experience.
*
Experience from leading projects with internal groups/external collaborators.
*
Experience working within cross-functional teams
Work policy
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working give us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
Why AstraZeneca?
AstraZeneca is a global, BioPharmaceutical business that focuses on the discovery, development and commercialisation 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, it is safe to share and learn from each other - ours is an inclusive environment. Where difference is recognised and uniqueness is valued.
What's next?
If you are ready to make a difference - apply today, and we'll make it happen together! We welcome your application (including CV and cover letter). If you're curious to know more about the position, please get in touch with hiring manager Daniel Muthas at
Daniel.muthas@astrazeneca.com.
Ersättning Not Specified
Så ansöker du Sista dag att ansöka är 2023-09-07
Klicka på denna länk för att göra din ansökan Arbetsgivarens referens Arbetsgivarens referens för detta jobb är "R-177184".
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Astrazeneca AB (org.nr 556011-7482)
Arbetsplats AstraZeneca
Kontakt AstraZeneca
karolina.zingmark@astrazeneca.com Jobbnummer 8055924
Observera att sista ansökningsdag har passerat.