Senior Machine Learning Scientist

Meet Anagenex.
At Anagenex, we combine machine learning with massively parallel biochemical tools such as DNA Encoded Libraries (DELs) and Affinity Selected Mass Spectrometry (ASMS) to analyze more compounds more efficiently than ever before. By working with large datasets throughout our search process and letting our machine learning model guide our experiments, we are able to find molecules for the hardest problems in drug discovery, bringing first in class and best in class treatments to patients.
As a fully integrated team of experts in biology, chemistry and machine learning, we work as one to design new medicines. Collaborating across these distinct disciplines gives team members exposure and understanding into differing approaches for solving complex challenges. Autonomy and trust ground our flexible working environment, enabling us to succeed against a broad range of targets in drug discovery.
Introducing: Senior Machine Learning Scientist
The Senior Machine Learning Scientist will contribute to the development of the Anagenex platform. Reporting to the Chief Technology Officer, this role will work closely with scientists in the laboratory and the machine learning team to iterate on our ML models and provide innovative computational solutions for the difficult research problems our team faces. A remote work environment supports the primary output of this role, with occasional visits to our laboratory facilities in Lexington, MA to facilitate live collaboration and an in-depth understanding of the work our laboratory team is conducting. 
You’ll own
-Design, development, and implementation of machine learning algorithms using internally generated multibillion point datasets to power Anagenex’s platform.-Design and training of new classes of machine learning models to optimize new small molecule medicines.-Cross-functional collaboration with chemists, biologists, and data engineers to design Anagenex’s proprietary drug discovery technology.-Implementation and maintenance of production-quality modeling code in a team setting.-Integration of diverse external and internal data sources including protein structure, cell based assays, animal based readouts, and other data to enable multi-objective optimization of small molecule medicines.
You’ll assist
-Mentor, learn, and share cross-disciplinary knowledge with other team members.-Present progress from scientific work in regular meetings and assist with reports and slide decks for broader internal and external communication.-Research the latest advancements in AI-driven drug design and proactively identify opportunities to apply these to improve our drug discovery technology platform.
Skills & expertise you have
-3+ years work experience in machine learning with strong understanding of modern deep learning architectures like transformers and graph neural networks.-An advanced degree in computer science, machine learning, or life sciences such as chemistry or biology, or equivalent practical experience.-Experience with applications in chemistry or small molecule drug discovery preferred but not required.-Expertise in machine learning, data mining, and statistical analysis techniques, with a proven track record of successfully applying these methods in real-world situations.-Understanding of the underlying math and statistical learning concepts behind modern machine learning techniques.-Familiarity with modern software development best practices and passion for creating elegant technical solutions.
Skills & expertise you can learn
-How new medicines are designed from concept to clinical development.-Significant domain knowledge in AI-driven drug design and drug discovery in general.-Expertise with cheminformatics and computational chemistry algorithms and workflows. -Understanding of how experimental data is generated and associated ML challenges.-Publication of research papers to establish yourself in the wider scientific community.-Effective communication and collaboration with stakeholders across the business.-Successful planning and execution of impactful research projects.
Within 1 month, you’ll…
-Participate in the onboarding program to learn about the scientific efforts fueling the Anagenex platform, including DNA-encoded library (DEL) technology, computational chemistry, and medicinal chemistry.-Familiarize yourself with Anagenex’s platform and tech stack.-Establish key relationships within the Machine Learning, Compute, and Scientific teams.-Begin exploratory data analysis for relevant targets.Train your first models!
Within 3 months, you’ll…
-Understand the data sets you’ll work with and how they are generated in the wet lab.-Level up your understanding of the pipeline using full scale datasets to drive larger model training and inference.-Transform your insights into full-fledged quarterly goals.-Understand how to deliver machine learning results to the scientific lab team.