Associate Principal Scientist/Senior Scientist, Data scientist

Publiceringsdatum: 2024-03-14

Söker du efter ett jobb inom yrken med teknisk inriktning-sektorn? Vill du ta steget att arbeta som civilingenjör, kemiteknik hos Astrazeneca AB? Nu har du möjligheten. Astrazeneca AB söker efter en ny anställd på heltid under tills vidare som är redo att ta sin karriär till nästa nivå.

För detta jobb är Göteborg den angivna tjänsteorten. Astrazeneca AB har just nu ett ledigt jobb som civilingenjör, kemiteknik. Söker du efter en spännande karriär som civilingenjör, kemiteknik? Sök jobbet hos Astrazeneca AB senast söndag den trettioförsta mars 2024 och bli en del av deras team.

Jobbannons

Are you a forward-thinking and curious statistician with skills in large scale omic analysis or experience in clinical genomics analysis? Do you also want to improve the way we discover and develop medicines? Welcome to join AstraZeneca!

We are looking for an experienced statistical geneticist 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 (US).

What you will do

This role is focused on bringing actionable insight from large genomic cohorts to deliver precision medicine proposals. This will be done through integration of genomic data with other omic data to build gene regulatory networks to predict functionality of non-coding regions. The relevance of the findings will be established through further integration with clinical and real world evidence data.

You will contribute to the computational biology and genomic strategies and be responsible for the design, refinement, application and interpretation of novel approaches to analyse large-scale genomics data accompanied by rich biomarker, phenotype and disease case/control data available through clinical trials or biobank collections. By applying these state-of-the-art statistical methods, you will maximise the knowledge extrapolated from our growing genomics data in complex diseases impacting the project progression and future treatment options for patients with unmet medical needs.

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.

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 statistics, biostatistics, mathematics, bioinformatics or another similar subject area.

*

Expertise in large-scale genomic and phenotypic data analysis to derive biological insight across all aspects of the portfolio (e.g. QTL analysis, pathway analysis, Mendelian randomisation and others) as you will be responsible for designing and performing analysis, interpretation and communication of results.

*

Excellent coding skills in Python, R, or similar language appropriate for large scale genomics analysis and experience with version control (Git/Bitbucket).

*

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. 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.

*

We believe you also have a high degree of independence and a proactive and delivery focused approach.

Desirable for the role

*

Experience in pharmaceutical R&D and/or Post-doc experience.

*

Molecular understanding of human diseases, patient stratification and biomarker-based endpoint generation, preferentially in respiratory and immunological disorders.

*

Track record of applying bioinformatic analysis to drive projects in drug discovery or development in an industrial or academic setting.

*

Broad experience applying machine learning methods such as random forests, clustering, dimensionality reduction in a systems biology or systems medicine context.

*

Working in a Linux environment, ideally with experience of cluster or cloud computing (e.g. AWS or Azure).

*

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.

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), no later than March 31, 2024. If you're curious to know more about the position, please get in touch with hiring manager Greet De Baets at greet.debaets1@astrazeneca.com.

Where can I find out more?

Follow AstraZeneca on LinkedIn: https://www.linkedin.com/company/1603/

Follow AstraZeneca on Instagram: https://www.instagram.com/astrazeneca_careers/?hl=en

Read more about BioPharmaceuticals R&D: https://www.astrazeneca.com/r-d.html