Senior Researcher – AI for Drug Discovery

Microsoft; Cambridge; On-site; GBP 50,000 - 75,000; Full time

Job summary

Microsoft is seeking a passionate researcher in AI for drug discovery, driving impactful research within a collaborative culture. The role includes developing and testing innovative ideas, writing research code, and publishing findings. Ideal candidates will have a PhD and a strong foundation in machine learning and drug discovery.

Qualifications

• Demonstrated research program with publications in top-tier journals or conferences.
• Hands-on experience in machine learning for drug discovery.
• Ability to work in a multidisciplinary collaborative environment.

Responsibilities

• Contribute to a research agenda in AI for drug discovery.
• Write research code and prepare technical papers.
• Develop and test new ideas in a collaborative environment.

Skills

Python

Machine Learning

Computational Biology

Drug Discovery Process

Effective Communication

Education

PhD in computational biology, machine learning, computational chemistry, or related field

Job description

Responsibilities (Text Only)

- Contribute to and drive an ambitious, high-impact, research agenda in AI for drug discovery within the context of a highly collaborative research culture. - Develop and test out new ideas within existing or new collaborations. - Write research code to test new approaches or develop novel theoretical and practical insights. - Prepare technical papers, presentations and open-source releases of research code.

Qualifications (Text Only)

Qualifications and Skills - PhD in computational biology, machine learning, computational chemistry, quantum chemistry, or a related field. - A research program demonstrated by publications in relevant top-tier publication venues and conferences (i.e. Nature, Science, NeurIPS, ICML, ICLR) or domain-relevant journals and conferences. - Experience with Python. - Strong understanding of the drug discovery process, predictive synthesis, ADMET, or structure-based drug design. - Hands-on experience in implementing and evaluating machine learning approaches for drug discovery. - Passion to see research have real-world impact on key challenges for society. - Demonstrable ability to work in an multidisciplinary collaborative environment, evidenced by effective communication of technical concepts to non-experts from different technical backgrounds. Read more about AI for Science: AI for Science Web Site Microsoft Research AI for Science - Microsoft Research AI for Science Blog AI4Science to empower the fifth paradigm of scientific discovery - Microsoft Research #Research #AI for Science Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a requestvia the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.