Machine Learning Team Lead

Introduction 🔬

OccamzRazor boosts performance in drug discovery and manufacturing through data science and machine learning. We focus on developing models of cell-based systems using real-world data. These models enable scientists to achieve their goals faster, cheaper, and with a higher likelihood of success. We’ve tackled problems as wide reaching as cell line development in biologics production as well as novel preclinical model development in Parkinson’s disease.

Our team is composed of machine learning engineers, biomedical scientists, and computational biologists. We’re supported by the leading names in machine learning and biology, including our lead investor Jeff Dean (head of Google AI) and our advisor Randy Schekman (a Nobel Laureate).  Members of our team have published various components of our computational platform in the leading machine learning (NeurIPS) and natural language processing (ACL) journals.

OccamzRazor is a remote-first company with headquarters at the Johnson & Johnson Innovation Labs in Manhattan, New York.

The role 👩‍💻

We are looking for machine learning research engineers who have a record of excellence in solving complex problems via machine learning, data science, and engineering, and an enthusiasm for applying such methods in the biomedical domain.  New engineers work on problems as diverse as graph representation learning, transfer learning, semi-supervised learning, dimensionality reduction, clustering, visualization, or natural language processing.

On a day-to-day basis, you will 🧪

• Set team goals and connect them to the business context

• Mentor and coach the team so they can formulate problems and adopt the appropriate algorithms.

• Organize work into projects and delegate tasks according to expertise

• Report project status

• Work with clients to onboard their data, define the right problems, and implement the appropriate machine learning solutions

• Contribute to an industrial-grade codebase

Desired Qualifications 👩‍🔬

• A degree in computer science, mathematics, or a related field

• Industry experience managing technical teams and projects

• A theoretical and practical understanding of machine learning and computer science

• A pragmatic and principled approach to solving complex problems

• An interest and enthusiasm for working on biomedical problems

We recommend candidates list their ML projects and publications on their resume.

OccamzRazor offers an equal opportunity work environment with full employee benefits, such as health and dental insurance, as well as a competitive equity and salary package. We offer perks like discounted Citi Bike membership, conference attendances, monthly happy hours, and social events.

Please send your CV and cover letter to robbie@occamzrazor.com

Senior Software Engineer / Lead engineer

Introduction 🔬

OccamzRazor is pioneering a machine learning-driven drug discovery platform to cure neurodegenerative disorders, starting with Parkinson's.  Our platform consists of i) an information extraction pipeline which processes structured and unstructured data into a unified biomedical graph called the Parkinsome, and ii) a graph learning pipeline which further processes the biomedical graph to identify novel drug targets and/or compounds from it.  Our goal is to leverage our computational platform to eventually identify curative therapies for all unsolved diseases.

OccamzRazor is comprised of a small and extraordinary team of machine learning engineers, biomedical scientists, and computational biologists, with half of them holding PhDs in their respective fields.  The team is supported by the leading names in machine learning and biology, including our lead investor Jeff Dean (head of Google AI) and our advisor Randy Schekman (Nobel laureate).  Members of our team have published various components of our computational platform in the leading machine learning (NeurIPS) and natural language processing (ACL) conferences.

OccamzRazor currently has offices in New York City and San Francisco and is actively seeking highly-motivated engineers and ML researchers to join the OccamzRazor family.  We are a distributed team and open to collaborating with people who would like to live and work remotely anywhere in the world.

The role 👩‍💻

We are looking for a senior software engineer who can serve the needs of a fast-paced applied research environment, has strong fundamentals in algorithms and data structures, and an enthusiasm and ability to collaborate with an interdisciplinary group of machine learning engineers and computational biologists to accelerate computational drug discovery.

Even though this is an individual contribution role, we expect it to eventually evolve into leading engineering for the entire company, with additional responsibilities in providing hands-on technical leadership, determining best engineering tools and practices, assisting project management and architectural design, and coaching everyone to become the best software engineers they can be.

This role will report directly to the CTO.

On a day-to-day basis, you will 🧪

• Develop, take ownership, and execute an engineering agenda to enable computational drug discovery.

• Collaborate with an interdisciplinary team of machine learning research engineers, computational biologists, and software engineers.

• Devise, architect, and implement the simplest (yet algorithmically correct) solutions in pursuit of our mission.

• Maintain and promote best engineering practices across the company.

• Grow to become the engineering lead of the company.

Desired Qualifications 👩‍🔬

• A degree in computer science, mathematics, or a related field.

• A strong background in algorithms and data structures.

• Experience working on machine learning problems or collaborating with machine learning engineers.

• Experience building software using best engineering practices.

• An ability to devise and build high-impact solutions in an ambiguous, fluid, and academically-oriented applied research environment.

• An interest and enthusiasm for working on biomedical problems.

If available, we recommend candidates to list all of their projects and publications on their resume.

OccamzRazor offers an equal opportunity work environment with full employee benefits, such as health and dental insurance, as well as a competitive equity and salary package. We offer perks like discounted Citi Bike membership, conference attendances, monthly happy hours, and social events.

Please send your CV and cover letter to berk@occamzrazor.com

machine learning team lead

Introduction 🔬

OccamzRazor boosts performance in drug discovery and manufacturing through data science and machine learning. We focus on developing models of cell-based systems using real-world data. These models enable scientists to achieve their goals faster, cheaper, and with a higher likelihood of success. We’ve tackled problems as wide reaching as cell line development in biologics production as well as novel preclinical model development in Parkinson’s disease.

Our team is composed of machine learning engineers, biomedical scientists, and computational biologists. We’re supported by the leading names in machine learning and biology, including our lead investor Jeff Dean (head of Google AI) and our advisor Randy Schekman (a Nobel Laureate).  Members of our team have published various components of our computational platform in the leading machine learning (NeurIPS) and natural language processing (ACL) journals.

OccamzRazor is a remote-first company with headquarters at the Johnson & Johnson Innovation Labs in Manhattan, New York.

The role 👩‍💻

We are looking for machine learning research engineers who have a record of excellence in solving complex problems via machine learning, data science, and engineering, and an enthusiasm for applying such methods in the biomedical domain.  New engineers work on problems as diverse as graph representation learning, transfer learning, semi-supervised learning, dimensionality reduction, clustering, visualization, or natural language processing.

Primary Responsibilities 🧪

• Set team goals and connect them to the business context

• Mentor and coach the team so they can formulate problems and adopt the appropriate algorithms.

• Organize work into projects and delegate tasks according to expertise

• Report project status

• Work with clients to onboard their data, define the right problems, and implement the appropriate machine learning solutions

• Contribute to an industrial-grade codebase

Desired Qualifications 👩‍🔬

• A degree in computer science, mathematics, or a related field.

• Industry experience managing technical teams and projects.

• A theoretical and practical understanding of machine learning and computer science

• A pragmatic and principled approach to solving complex problems.

• An interest and enthusiasm for working on biomedical problems.

We recommend candidates list their ML projects and publications on their resume.

OccamzRazor offers an equal opportunity work environment with full employee benefits, such as health and dental insurance, as well as a competitive equity and salary package.

Please send your CV and cover email to info@occamzrazor.com