In this role you form part of a Bioinformatics team working at the cutting edge of research and development in antibody engineering to build and maintain novel bioinformatics pipelines, customising NGS workflows, integrating ML approaches to better inform lab experiments. You will also work closely with data management, software engineering, computational modelling, and machine learning team members with access to industry-leading biologics R&D data across AstraZeneca.
ASTRAZENECA
With one of the broadest and deepest Oncology pipelines in the industry, there are many opportunities to work with novel drugs and help discover what's next. We foster a mindset of courage, where everyone is empowered to step up, innovate and work at pace. We lead through true collaboration, building collective wisdom by giving everyone a chance to input. It's science with an impact-making a difference for patients and people around the world.
SITE DESCRIPTION
The Gaithersburg site (https://www.youtube.com/watch?v=GOvxXGjBd1w) employs more than 3,500 experts in our field and is only a short drive from Washington, DC. Here, we play host to some of the most cutting-edge technology and lab spaces, all crafted to inspire collaboration and cross-functional science. The Gaithersburg campus offers a variety of amenities to help boost efficiency and help keep our employees happy and healthy. This includes a fitness center, employee healthcare clinic, electric vehicle charging stations, dry cleaning, full-service cafeteria, game rooms, community garden and much more.
BUSINESS AREA
Join the Biologics Engineering team at AstraZeneca, where we are responsible for the discovery and optimisation of next-generation biological drug candidates across all key therapy areas. We are developing in-house biologics discovery platforms and novel drug modalities to address unmet medical needs. BE empowered to act fast on smart risks and keep ahead in the fast-paced Oncology field.
What you'll do
The Bioinformatics team is growing to meet the strategic challenges pursued by AZ Biologics Engineering. We are looking for a Senior Bioinformatician to join our Biologics Engineering Bioinformatics team. The role will focus on our expanding needs for NGS for antibody discovery across all therapeutic areas.
Create, automate and maintain Bioinformatics workflows, using NGS data, and guide antibody discovery platforms to explore antibody repertoire.
Apply the latest computational approaches to antibody sequencing data; proactively devise and implement innovative bioinformatic solutions with a focus on biologics engineering.
Use your knowledge of NGS, drug development and data science to deliver actionable impacts for all therapeutic areas within AZ.
Collaborate closely with AZ colleagues in data management, software engineering, computational modeling, and machine learning to drive effective data generation and help address technology/analytics gaps in creating end-to-end workflows.
Contribute bioinformatics expertise to the application and development of cutting-edge sequencing technologies in key strategic growth areas.
Publish work in high impact journals with industry and academic partners to increase visibility of AZ data science
Essential for the role
MS in computer science, bioinformatics or relevant computational field and 1+ year of experience OR BS and 3 years of experience
Experience in Illumina or similar workflows, raw data processing and analysis and NGS data integration and interpretation.
Experience of successful implementation of bioinformatics tools for scientific data management and analysis of large datasets such as machine learning or other state-of-the-art approaches (e.g. from next generation sequencing applications and antibody library sequencing) and harmonising different types of data sets for analyses.
Experience in the design, development, optimisation, and scaling of informatics applications and solutions.
Familiarity with bioinformatics algorithms and toolkits for NGS analysis.
Programming proficiency in a Linux environment of high-performance computing.
Ability to explore novel bioinformatic approaches to process and analyze long read NGS data.
Desirable for the role
Expertise in NGS workflows.
Experienced with any of R, Python, shell scripting programming languages.
Experience with creating production quality code and software engineering techniques and practices. e.g. version control, Jira, Agile, Scrum, code reviews etc.
Familiarity with multiple R&D data types, especially as they relate to therapeutic area research.
Capability of managing multiple simultaneous projects.
Why AstraZeneca?
We follow all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives 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.
Competitive salary & benefits
Close date: 10/05/2024
So, what's next!
Are you already imagining yourself joining our team? Good, because we can't wait to hear from you. Don't delay, apply today!
Where can I find out more?
Our Social Media, Follow AstraZeneca on LinkedIn: https://www.linkedin.com/company/1603/
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
