Bioinformatician II (Luksza Lab), Oncological Sciences

Job Description

Strength Through Diversity

Ground breaking science. Advancing medicine. Healing made personal.

Roles & Responsibilities: 

Bioinformatics software engineer position is available in the group of Prof. Marta Luksza at the Icahn School of Medicine and the Center for Computational Immunology and Genomics at Mount Sinai in New York. The lab and the Center are involved in cutting-edge projects on the evolution of complex biological systems, with a specific focus on viruses and cancer. We develop predictive models for the evolution of influenza and the novel SARS-CoV-2 virus. Our models inform the influenza vaccine strain selection process by the World Health Organization. The Luksza lab also works on novel machine learning approaches for the prediction of tumor response under immunotherapy and the evolution of resistance mechanisms. The projects involve building software platforms to automatize processing from raw sequencing data, through machine learning model training, to generation of specific cancer or pathogen-related predictions.


Job responsibilities:

  • The applicant will be developing new solutions for bioinformatics operations, leading the design, deployment, and maintenance of optimal software solutions
  • As a software engineer, the applicant will support the design and implementation of data processing workflows for genomic data and related metadata
  • The applicant will be working closely with computational members in the group at Mount Sinai and other leading institutions in cancer research (MSKCC, MGH, Johns Hopkins University, UCSF) to support innovative research and develop software solutions for research and clinical applications
  • At least BSc in Computer Science, Computer Engineering or Biomedical Engineer, MSc preferred, but can be compensated by at least 2 years of experience in a relevant role
  • Proficiency in one or more programming languages (Python, JavaScript, C++)
  • Good working knowledge of Linux (or similar operating systems)
  • Experience with SQL database programming
  • Experience with NGS datasets is desirable
  • Experience with machine learning packages (TensorFlow, Pytorch) will be a plus
  • Ability to work independently and as a team depending on tasks
  • Good written and verbal communication skills
Strength Through Diversity

The Mount Sinai Health System believes that diversity is a driver for excellence. We share a common devotion to delivering exceptional patient care. Yet we’re as diverse as the city we call home- culturally, ethically, in outlook and lifestyle. When you join us, you become a part of Mount Sinai’s unrivaled record of achievement, education and advancement as we revolutionize medicine together.


We work hard to acquire and retain the best people, and to create a welcoming, nurturing work environment where you can develop professionally. We share the belief that all employees, regardless of job title or expertise, can make an impact on quality patient care.


Explore more about this opportunity and how you can help us write a new chapter in our story!

Who We Are

Over 38,000 employees strong, the mission of the Mount Sinai Health System is to provide compassionate patient care with seamless coordination and to advance medicine through unrivaled education, research, and outreach in the many diverse communities we serve.


Formed in September 2013, The Mount Sinai Health System combines the excellence of the Icahn School of Medicine at Mount Sinai with seven premier hospital campuses, including Mount Sinai Beth Israel, Mount Sinai Beth Israel Brooklyn, The Mount Sinai Hospital, Mount Sinai Queens, Mount Sinai West (formerly Mount Sinai Roosevelt), Mount Sinai St. Luke’s, and New York Eye and Ear Infirmary of Mount Sinai.


The Mount Sinai Health System is an equal opportunity employer. We promote recognition and respect for individual and cultural differences, and we work to make our employees feel valued and appreciated, whatever their race, gender, background, or sexual orientation. 


EOE Minorities/Women/Disabled/Veterans

for Live Chat Click Here