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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.
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: March 3, 2023
Postdoc or research fellow in bioinformatics
We are seeking a highly motivated, creative and independent individual to join our program to create algorithms to create accurate gene and isoform annotations in a collaboration between the UMass Chan Bioinformatics Core (https://www.umassmed.edu/biocore) and Garber laboratory (Computational Biology, http://garberlab.umassmed.edu).
We are pursuing a modeling, data centric, approach that integrates multiple OMICS sets. This is a unique opportunity for building, testing and refining computational models to integrate various data types for to help biological discoveries.
The person hired for this position will lead the data handling, analysis and algorithm development efforts. As such the ideal candidate will be intimately familiar with machine learning, classification and clustering algorithms, sequencing technologies and have a working knowledge of computational biology.
Responsibilities:
- Responsible for analysis and statistical modeling of Omics data (e.g. RNA-Seq, scRNA-Seq etc.)
- Development of computational tools and pipelines using pipeline managers (DolphinNext, Nextflow)
- Develop, validate, and compare the performance of prediction models using R and Python.
- Use demonstrated scientific creativity, collaboration with others, and independent thought to expand technical capabilities and identify new research opportunities.
Qualifications:
- Ph.D or masters degree in Bioinformatics, Computational Biology, Physics, Computer Science, Statistics or related field
- Working knowledge of computational biology and sequencing technologies
- Fluency in at least one scripting language (e.g. Python, Perl)
- ANSI sql and nosql knowledge to fast and scalable databases
- 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
Please submit a CV, listing three references, by e-mail to:
Manuel.Garber@umassmed.edu
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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.
