[Hiring] Machine Learning Engineer @Meliora Therapeutics

Role Description

Biotech is on the verge of a revolution. Breakthroughs such as the advent of CRISPR and systems for fast and efficient multi-omic sequencing in combination with structural advances in machine learning are unleashing the ability to interrogate human biology in unprecedented ways.

A key initial goal of Meliora Therapeutics’ computational engine is to develop a robust, multi-modal MOA atlas for cancer drugs. This atlas will consist of 21st century phenotypic “molecular fingerprints” of different mechanisms of action, and will serve as a reference library that can be used to characterize new molecules of interest. Our platform has already surfaced a number of interesting candidate drugs with promising laboratory validation and we are looking for world class talent to expand and deepen the capabilities of this advanced computational engine using the latest ML approaches, making an impact on cancer in the process.

Machine learning team members play an important role in developing the core algorithmic engine of a next-generation biotechnology company, and so we are looking for people who delight in being multi-disciplinary, seek excellence at every turn, and have an unyielding desire to continuously learn and share knowledge. If this sounds like you, we would love to speak with you.

What you’ll do:

• Bring your technical skills to bear on a critical problem in cancer treatment that results in 97% of cancer drugs failing their clinical trials.
• Develop, implement and validate novel, machine learning-driven methods of associating drugs and their properties with their true mechanism of action in cancer cells.
• Lead the development of large-scale machine learning algorithm training and evaluation pipelines.
• Grow, learn and contribute to cutting edge platform development that drives drug discovery.
• Be a culture-setter by embodying the company’s principles of truth-seeking, mutual respect, integrity, drive, and teamwork.

Qualifications

• MS-level expertise in applied machine learning developed either through a formal degree or meaningful experience in performing similar work.
• Expertise in the implementation of production-ready advanced machine learning algorithms using TensorFlow, PyTorch, or Jax.
• Familiarity with and ability to develop large-scale machine learning systems and workflows including parallel training and evaluation pipelines.
• A solid grasp of the fundamentals of machine learning science including broad capability in probability, statistics, machine learning, and programming.
• Experience in solving deep technical challenges by helping to develop and validate novel methodologies.
• Expertise in genomics or cheminformatics isn’t necessary to start with, but you will need to be comfortable building an extensive cross-disciplinary background as you go.
• Excellent communication skills to synthesize complex technical problems and solutions into content easily understandable by the scientific and leadership teams to facilitate critical decisions.
• Ability to be highly successful operating in a multidisciplinary environment and a willingness to collaborate across functional teams is essential.
• Bonus: experience working with biological or *omics datasets and pipelines.

Benefits

• Highly competitive compensation with equity.
• Medical, dental, and vision insurance plans.
• Remote work.
• The opportunity to have your career grow along with our company.
• Work focused on developing cutting-edge technical methodologies to directly create meaningful positive impact on human health.
• The freedom to develop your own methodologies and approaches in collaboration with our team to solve our most important challenges.
• The opportunity to work with a world-class interdisciplinary team with expertise spanning numerous fields in biology, computer science, and machine learning.
• Quarterly US based travel for on-site retreats.