NGS Scientist Job Boston area,Massachusetts USA,Research/Development

Job Title: NGS Scientist
Job Location:
Boston, MA
Job Duration: 6 Months
Work shift: 1st Shift
Pay Rate: $48 - $57/Hour

Job Description:

Execute NGS library preparation (e.g., bulk RNA, scRNA, snRNA sequencing), quantification, and sequencing workflows to support the CMR team.
Internalize and develop new NGS workflows to support evolving needs.
Develop and adhere to standard operating procedures for workflows to ensure consistent production of high-quality data.
Work in the sequencing space cross-functionally, with the ability to manage multiple requests and queues.
Deliver NGS data with clear expectations of timelines to multiple teams and promptly update stakeholders of run completion.
Effectively manage inventory of DNA, RNA, libraries, and sequencing reagents.
Perform additional related tasks (i.e., RNA extraction, qPCR/ddPCR) as needed to help the team meet goals and deliverables.
Maintain detailed documentation of NGS run performance and scientific work in an electronic notebook.
Participate in assessment of sample prep and sequencing workflows at other sites (Indianapolis and/or contract research organizations) to enable flex capacity when demand is high ( no travel required ).

Job Requirements :

B.S. and/or M.S. in biological or biochemical sciences (or a related field) with 3-5 years of laboratory research experience [YK1] .
Molecular biology mastery of nucleic acid extraction and purification, quantification, NGS library preparation/QC, and qPCR.
Strong background in NGS technologies and their applications, including quantification, sequencing, and data QC (preferably Illumina). Direct experience with RNA-seq (bulk) and amplicon-seq.
Direct experience with single-cell and single-nucleus RNA-seq library preparation is required. Candidates must be familiar with multiple scRNA-seq/snRNA-seq platforms (e.g., 10X Genomics Chromium, Illumina PIP-seq, Scale Bio, or Parse Biosciences).
Additional Skills/Preferences:
Familiarity with CRISPR-based gene editing and high-throughput screening is a plus.
Experience with automation is a plus (Mantis, Integra systems, Liquid Handlers, SPTLabtech Firefly, Tecan, etc).
Strong organizational, time management, and communication skills.
Experience with documentation in electronic notebook software.