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Postdoc: Computational Systems Biology, Infectious Disease [Forst Lab]

The successful candidate will have a key role in a multi-disciplinary team to decipher the heterogeneous response to influenza, in the lab of Christian Forst, working closely with Michael Schotsaert and Won-min Song at Icahn School of Medicine at Mount Sinai and David Gresham at NYU towards the ultimate goal to understand the intrinsic factors and mechanisms responsible for the diverse response in a diverse population challenged by influenza. The research focus will encompass innovative computational methods development and data analysis by a multi-scale systems approach that integrates multi-omic, demographic, and clinical data from patients. The research engages collaborators in a cycle of iterative experimental design and analysis including multi-omics single-cell sequencing, and validation studies in mouse and human systems.

Duties & Responsibilities

  • Conducts a variety of computational research using advanced computational techniques.
  • Coordinates project activities to meet deadlines.
  • Collaborates with the Principal Investigator in the development of new methods and research techniques.
  • Assists in the implementation of standardized protocols for computer experiments and training purposes.
  • Assists the Principal Investigator with publications by extracting and compiling data; reviewing and editing articles for publication.
  • Mentors and trains less experienced research staff and graduate students.
  • Ensures compliance with safety and regulatory requirements.


  • PhD in computational biology, genetics, statistics, computer science, molecular biology, biophysics, or a related field.
  • A strong publication record and compelling professional references.
  • Excellent communication skills for effective interaction with the multidisciplinary cohort of researchers in our laboratory and with collaborators.
  • Programming competence demonstrated in one or more of these programming languages: R, Python, C++, Java.

Additional Desired Qualifications

  • Strong biological insight, in particular in infectious diseases and immunology, and previous experience in solving biological problems with computers.
  • Experience with machine learning techniques
  • Experience with functional multi-omics data as well as large-scale data retrieval and analysis.

Candidates should contact Dr. Christian Forst at in the Genetics and Genomic Sciences department if interested. The candidate must provide a 1 page statement of interest, transcripts, current resume and 3 letters of recommendation.