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When you join the UMass Chan Medical School team, you join us in advancing together to improve the health and well-being of our diverse communities throughout Massachusetts and across the US and the world. Together, we lead in education, research, health care delivery, and public service. Your life’s work is more than a career. It’s an expression of your passion, intellect, skill, and drive. UMass Chan's commitment to excellence, innovation, competitive benefits, and work-life integration will allow you to build a professionally rewarding career as we work together to better or improve the health of people around the globe.

Post Doctoral Associate
Job Number: 2017-30173
Category: Post Doc
Location: Worcester, MA
Shift: Day
Exempt/Non-Exempt: Exempt
Business Unit: UMass Chan Medical School
Department: School - Bioinformatics & Integratv Bio - W403700
Job Type: Full-Time
Union Code: Non Union Position-W63-Residents/Post Docs
Num. Openings: 1
Post Date: June 26, 2017

GENERAL SUMMARY OF POSITION:

We are seeking a highly motivated, creative and independent individual to join our program to understand host-virus interactions and how these interactions the severity of infection. In a collaboration between the Finberg laboratory (Infectious disease [URL]) and the Garber laboratory (Computational Biology, http://garberlab.umassmed.edu) we are pursuing a modeling, data centric, approach that integrates human single cell RNA-Seq data together with in-vitro cellular models. In this unique set-up, hypothesis arising from patient samples will be tested on in-vitro models, thus providing a unique opportunity for building, testing and refining computational models.

The person hired for this position will lead the data analysis and modeling efforts and will be intimately involved in designing experiments to test model predictions. As such the ideal candidate will be intimately familiar with machine learning, sequencing technologies and have a working knowledge of molecular biology.

Key responsibilities include:

  • Responsible for analysis of single cell and bulk RNA-Seq data
  • Statistical modeling of genomics data
  • Development of computational tools for analysis of single cell RNA-Seq and other sequencing methods
  • Design and analysis of loss and gain of function experiments to validate model predictions
  • Use demonstrated scientific creativity, collaboration with others, and independent thought to expand technical capabilities and identify new research opportunities

REQUIRED QUALIFICATIONS:

  • PhD. in Bioinformatics, Computational Biology, Physics, Computer Science, Statistics or related field
  • Working knowledge of molecular biology and sequencing technologies
  • Fluency in at least one scripting language (e.g. Python, Perl) and good knowledge of non-scripting languages (e.g. Java, C++, Scala)
  • Strong publication record and excellent communication skills
  • Excellent organization and time management skills
  • Must be able to handle a variety of tasks and to adapt to a highly dynamic environment

ADDITIONAL INFORMATION:

To apply, please forward CV, statement of research and contact information for three references to:  manuel.garber@umassmed.edu

 

Posting Disclaimer:
This job posting outlines the primary responsibilities and qualifications for the role but is not intended to be an exhaustive list. Duties and expectations may evolve in response to the needs of the department and the broader institution.

In alignment with our commitment to pay transparency, the base salary range for this position is listed above (exclusive of benefits and retirement). At UMass Chan Medical School, final base salary offers are determined based on a combination of factors, including your skills, education, and relevant experience. We also consider internal equity to ensure fair and consistent compensation across our teams.

Please note that the range provided reflects the full base salary range for this position. Offers are typically made within the midrange to allow for future growth and development within the role.

In addition to base pay, UMass Chan offers a comprehensive Total Rewards package, which includes paid time off, medical, dental, and vision coverage, and participation in a 401(a)-retirement plan, with the option to contribute to a voluntary 403(b) plan.

UMass Chan welcomes all qualified applicants and complies with all state and federal anti-discrimination laws.