Senior Software Engineer

About Nference

At nFerence Labs, the "Google of Biomedicine" (See nference.ai/media ), where we are building

the worlds first large-scale computational platform for reverse engineering biology.

Just as 20th-century science comprised of the deconstruction of physics unlocking all the

engineering and tech applications we are so familiar with, this century is witnessing the

deconstruction or reverse engineering of biological systems to unlock all kinds of medical and

wellness applications. nFerence is one of the few companies with the data, funding, people, and tech to make significant initial forays into this 21st-century endeavor.

Our platform is premised on using AI and high-performance computing to connect clinical

observations (phenotypes) to DNA-level phenomena (genotypes); in the process helps unravel

biology, as well as help pharma companies, perform faster and more efficient drug discovery, and help early diagnosis of several key diseases.

We collaborate heavily with premier medical research institutions to get medical insights from

patient information including multiple modalities: text, lab data, images, ECGs, etc. See also

anumana.ai, our affiliated company developing cardiology AI; where we are conducting clinical

studies for cardiovascular algorithms.

Our team is a blend of computer scientists and domain experts (biology and medical MDs, and PhDs from premier universities), and we provide an exciting open fast-paced dynamic workplace designed to foster innovative solutions.

Must Have Skills

• Self Motivated Engineer with 3-4 years of experience in backend engineering.
• Should have good data analysis and understanding skills to understand and extract patterns from data.
• Proficiency in Prompt Engineering and experience working with Large Language Models (LLMs).
• Proven ability to develop REST APIs using Python and Database ORMs.
• Solid understanding of relational databases and SQL.
• Experience utilizing Spark for large-scale data processing. (Data Engineering)
• Solid CS fundamentals and strong knowledge of Data Structures and Algorithms.
• Hands on debugging skills.
• Experience with Kubernetes for application deployment, scaling and management in production environments.
• Excellent technical design, problem-solving, and communication skills.
• The Candidate should be able to build a fair understanding of the product functionality.
• Should build good understanding with the code base and start working on issues and new features independently on a project as well as in a team environment.
• The candidate should become comfortable with the development and deployment process followed in the team.
• The ability to work Excellent communication and collaboration with relevant teams and departments.
  
  

• Will be responsible for planning, designing, coding and implementing native solutions as well as extending our customer code sandbox to be more resilient, reliable and safe.
• Will also help the engineering team select technologies, implement the architecture, and own the development of your projects.
  
  

• Be a part of “Google of biomedicine” as recognized by the Washington Post
• Work with some of the brilliant minds of the world solving exciting real-world problems.
• Our benefits package includes the best of what leading organizations provide, such as stock options, paid time off, healthcare insurance, gym/broadband reimbursement.