Associate Principal Scientist/Senior Scientist

Within Translational Science and Experimental Medicine
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 (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?
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 to enable translational science via integration of large-scale omics, clinical data, real world evidence and literature data to deliver precision medicine within our pipeline. You´ll be identifying novel targets, biomarkers and patient sub-groups through innovative data analysis approaches including utilization of clinical cohort omics data sets.
You will contribute to the identification of transformational precision medicine propositions to deliver life changing medicines to patients. You will be responsible for planning, performing and interpreting your analysis and communicate results. By applying state-of-the-art analytical methods, you will maximise the knowledge extrapolated from our growing omics data in complex diseases impacting the project progression and future treatment options for patients with unmet medical needs.
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 omics data analysis, integration and interpretation is a requirement. Omics include transcriptomics, single cell, spatial transcriptomics. proteomics (Olink, LC/MS), genomics, and other types of next generation sequencing (NGS) such as chromatin state approaches.
Excellent coding skills in Python, R, or similar language appropriate for large scale omics 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.