The quest for novel drugs has always been at the heart of medical advancements. Our team is pushing the envelope in this vital pursuit, utilizing machine learning (ML) to revolutionize drug discovery processes. 

If you're passionate about the crossroads of computational biology, machine learning, and drug discovery, and possess a track record in these fields, we invite you to join our team as an Applied Scientist. 

In this role, you will have the opportunity to: 

• Work at the forefront of machine learning applications in drug discovery. 
• Collaborate with a top-tier team of researchers, engineers, and leaders, facilitating your career growth. 

Responsibilities for this role include: 

• Working with interdisciplinary teams to design and develop advanced ML models for drug discovery. 

• Developing high-quality, maintainable, and well-documented code. 
• Using machine learning to generate insights and identify trends in drug discovery research. 
• Addressing open issues and collaborating with team members during regular business hours. 
• Working with customers to transform the industry. 

Qualifications for this role include: 

• A Ph.D. or equivalent experience in Computational Biology, Bioinformatics, Machine Learning, or a related field. 
• Proven research experience in drug discovery. 
• Experience in developing and implementing machine learning models. 
• A strong background in computational biology. 
• Track record of development in coding and software. 

• Excellent problem-solving and critical-thinking abilities. 
• Strong written and verbal communication skills. 
• Ability to work independently and collaboratively within a team environment. 

Soft Skills 

• Exceptional troubleshooting, analytical, and organizational skills. 

• Strong written and verbal communication and interpersonal skills. 
• Excellent documentation skills. 
• Passion for the transformative potential of machine learning in the medical field. 
• Eagerness to learn and adapt quickly to new or unfamiliar technologies. 

This remote contract position is initially limited to 18 months. Please send your CV to [email protected] with the position in the subject line. Thank you for your consideration.