Research and Development (R&D) Graduate Program– Data Science & AI - metro Washington DC
Location: Gaithersburg, MD (Multiple positions)
Overview
Fuel your curiosity, feel valued, and follow the science. If you hold a quantitative science-focused Bachelor's or Master's degree and are eager to develop your skills in Data Science(DS&AI) and artificial intelligence, our R&D Data Science & AI Graduate Program could be the perfect launchpad for your career. We are seeking innovative thinkers with strong critical thinking abilities, excellent planning and organizational skills, and great time management. Gain invaluable insights, industry exposure, and opportunities across our diverse R&D organization, accelerating your learning and helping you achieve your potential.
About AstraZeneca
AstraZeneca is a global, science-led, patient-focused biopharmaceutical company dedicated to the discovery, development, and commercialization of prescription medicines for some of the world’s most serious diseases. We prioritize patients and use data and an agile mindset to uncover solutions that enhance our ability to deliver science to the market.
Program Details
Start Date: September 2025
Duration: 2 years
Structure: Three individual eight-month placements
Focus Areas: Machine learning, AI, and data science in drug discovery and development.
What You’ll Gain
Hands-On Experience: Collaborate with scientists to apply data science, AI, and machine learning techniques to advance drug discovery and development.
Professional Growth: Develop both industry-specific and technical knowledge, supported by a mentor and a dedicated program management team.
Networking: Build collaborative relationships with specialists and leaders within AstraZeneca and leading academic and biotech research institutions.
Placement Opportunities
Target Identification: Identify new targets for novel medicines.
Drug Design and Development: Optimize the design, development, and manufacturing of new drugs.
Clinical Trials and Digital Health: Redefine clinical trials and digital health to improve patient experience and outcomes.
Salary Information
We offer a competitive base salary of $82,500 per annum, plus a performance-based annual bonus. Enjoy a generous paid time off program and a comprehensive benefits package (medical, dental, vision, and 401K). The program also offers relocation support if qualified.
Minimum Requirements
Education: Bachelor’s or master’s degree in a quantitative science subject (e.g., Math, Physics, Statistics, Computer Science) awarded in 2024 or due by September 2025.
Experience: Documented experience in Data Science, AI, Machine Learning, Statistics, Computational Biology, Computational Chemistry, Bioinformatics, or Cheminformatics.
Technical Skills: Deep understanding of key machine learning or statistical models. Proficiency in Python or multiple data-centric programming languages for Big Data analysis.
Application Process
You will be based at the site of application for the entire 2-year duration. No international placements are offered for this program.
Initial Step: After submitting your application, you must complete the online cognitive and behavioral assessments designed to evaluate your problem-solving abilities and critical thinking skills. You will receive the assessments within 2 weeks of applying, and you will have 5 days to complete it. Please regularly check your spam/junk folder for important notifications about your application. Our messages may sometimes be filtered there, and timely action may be required.
Virtual Interviews: Shortlisted candidates will be invited to a full-day virtual assessment, including:
Live Presentations: Showcase your knowledge and communication skills.
Q&A Sessions: Engage with our team through interactive question-and-answer segments.
Observed Group Exercise: Demonstrate your collaboration skills and ability to work effectively in a team environment.
This comprehensive process is designed to ensure a good fit between candidates and the exciting opportunities within our R&D Graduate Program. We look forward to seeing how you can contribute to our innovative projects.
Key Dates
Advert Opens: Monday, November 25, 2024
Advert Closes: Sunday, December 15, 2024
Assessment Center Days: February 18, 19, or 20, 2025
(These are the only available dates for interviews)
Find Out More
Careers Page: AstraZeneca Early Talent
LinkedIn: AstraZeneca LinkedIn
Facebook: AstraZeneca Careers
Instagram: AstraZeneca Careers
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 authorisation and employment eligibility verification requirements.
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