Associate Director, Data Science, Translational Proteomics
AstraZeneca. We are a global, science-led, patient-focused pharmaceutical company. We are dedicated to transforming the future of healthcare by unlocking the power of what science can do for people, society and the planet.
Gaithersburg Oncology Hub
Our Gaithersburg, Maryland facility creates life-changing medicines for people around the world. This campus employs more than 3,500 experts in our field and is only a short drive from Washington, DC. This modern and vibrant scientific campus is the home of R&D and Oncology in the US. Here, we play host to some of the most cutting-edge technology and lab spaces, all designed to inspire collaboration and cross-functional science. We believe employees benefit from being challenged and inspired at work. We are dedicated to creating a culture of inclusion and collaboration.
The Gaithersburg site offers a variety of amenities to help boost productivity 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 and copy center. This is where you’ll find newly-designed, activity-based work spaces to suit a variety of working styles while increasing collaboration between teams.
ASSOCIATE DIRECTOR, DATA SCIENCE, TRANSLATIONAL PROTEOMICS
Accountabilities:
In this role, you will provide computational support to ensure high-quality clinical proteomics input for cancer biomarker development efforts.
You will build ADC-target landscape with internal and external proteomics data to facilitate company’s strategic decisions as well as novel target identification.
You will also be responsible for designing database structures and routine maintenance.
In collaboration with project teams, you will drive the development of novel clinical utilities of MS-proteomics by retrospective analysis of clinical proteomics data.
Essential Skills/Experience:
Ph.D. in bioinformatics, computational science, molecular biology or a related field with +5 years post-doctoral experience in bioinformatics.
Extensive expertise in mass spectrometry-based proteomics and familiarity with Data-Independent Acquisition (DIA) and Parallel Reaction Monitoring (PRM) data.
Strong programming skills in key languages including R and Python with proven statistical capabilities to analyze large and complex data sets.
Track record of applying bioinformatic analysis to drive projects in drug discovery or development.
Experience in cancer biomarker studies for clinical development.
Experience in working with clinical trial data.
Demonstrated ability to work independently and collaboratively with strong communication skills.
Desirable Skills/Experience:
Experience with software development for proteomics data analysis.
Experience working in regulated environments (GCP/GLP).
At AstraZeneca, we are united in our vision to eliminate cancer as a cause of death. We are pioneers, making bold moves that transform the way cancer is treated and truly improve patient outcomes. With one of the broadest and deepest Oncology pipelines in the industry, there are many opportunities to work with new and 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.
Ready to make a difference? Apply now to join our Oncology R&D team and take a crucial inter-disciplinary approach to save patients' lives!
If you’re curious to know more, please contact Bobbi Poole, our Talent Acquisition Partner.
- Closing Date: May 27, 2024
