Staff Computational Biologist - Oncology Drug Discovery

The Team You'll Join

We are cultivating an interdisciplinary team dedicated to harnessing the power of machine learning and inference-based discovery for drug programs, particularly in the oncology domain. Our team thrives on close collaboration between computational biologists and data scientists across multiple therapeutic areas. This tight-knit network supports setting timelines, refining ideas, automating repetitive tasks, piloting, and transitioning projects to production. We are a bold, agile, and diverse group of experts in biology, computation, drug discovery, and machine learning, all united by the mission of accelerating the delivery of new therapeutics to patients. You will work closely with data scientists, chemists, engineers, commercial strategists, and biologists to drive projects forward and deliver impactful insights that enhance Recursion's capabilities. A bold, execution-oriented attitude and a passion for rigorous science geared towards life-changing therapies are essential for this role.

The Experience You'll Need

Educational Background: PhD in computational biology, bioinformatics, statistics, quantitative pharmacology, cancer/cell biology, or related fields, with 3+ years of experience addressing key challenges in oncology or drug discovery.

Technical Expertise: Proven experience in applying computational methods, including probabilistic, statistical, and machine learning techniques, to complex biological or clinical data.

Programming Skills: Proficiency in high-level programming languages like Python or R for intricate data analysis.

Drug Discovery Knowledge: General understanding of small molecule drug discovery and pharmacology, with a record of advancing drug-discovery projects from proof of concept to preclinical stages. Industry experience in oncology drug discovery is highly preferred.

Project Management: Efficient in managing and prioritizing multiple projects, ensuring the timely advancement of drug discovery programs to proof of concept and beyond.

Collaborative Spirit: Bold, passionate, and experienced in working within cross-functional teams.

Communication Skills: Ability to articulate computational analyses and methodologies to both technical and non-technical teams.

Data Visualization: Exceptional skills in creating plots, documentation, and presentations to effectively visualize data.

Ready to be part of a groundbreaking team? Apply now for the position of Staff Computational Biologist - Oncology Drug Discovery at Lifelancer for a quicker response via the following link: .