AdressWe 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).
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 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
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.
Why AstraZeneca?
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.
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
Date Posted
14-mars-2024
Closing Date
31-mars-2024
Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.
