Data Analyst

About Nference

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

the world's 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.

Skills Required

• 1 - 3 years of relevant experience is a must.
• Hands on experience with SQL queries (fluent in SQL concepts)
• Hands on experience in performing data analysis - descriptive, diagnostic, predictive statistics (fluent in these concepts)
• Fluent in data visualisation, plus point if created any new custom visualisation.
• Understanding of data analysis programming like use of python libraries - numpy, scikit-learn, pandas.
• Plus if hands on experience on spark framework or any other distributed data analytics framework.
• Candidate should have great intent towards automating data analysis process.
• Good critical thinking and communication skill.
• Very comfortable in creating reports and collaborate with other people.
  
  

Benefits

• 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.