Jobs

Description

Bioinformatics/Computational Biology Scientist


This position is 1 year contract with possibility of extension. Full time, on site at Waltham, MA.

Open to candidates willing to relocate at own expense. Extension is possible Free Parking onsite Hybrid work will be offered (1-2 days)

Must have:

• 3+ years of experience in bioinformatics or computational biology
• Advanced degree (MS or PhD) in Bioinformatics, Computational Biology, or related field
• Proficiency in R, Python
• Expertise using HPC (High Performance Computing), AWS s3, GCP (Google Cloud Platform) , git –
• This role must have bio, research, pharm experience.
• Effective data visualization and presentation skills

Nice to Have:

• Long-read sequencing (PacBio, Oxford Nanopore) – types of sequencing
• Expertise in building pipelines, automating workflows (Nextflow, snakemake)

Job Overview

We are seeking an expert Bioinformatics Contractor with 3+ years of research experience to support Genomic Medicine Unit (GMU) programs and platform work. The ideal candidate will have deep expertise in various bioinformatic data analyses and computing infrastructure and be able to work independently on complex projects within interdisciplinary team.

Required Qualifications

• 3+ years of experience in bioinformatics or computational biology
• Advanced degree (MS or PhD) in Bioinformatics, Computational Biology, or related field
• Demonstrated expertise in the following areas:
• Developing and running pipelines for Next-Generation Sequencing (NGS) analysis including:
• Bulk RNA sequencing (DEG, WGCNA, etc)
• Single-cell/nuclei RNA sequencing
• Amplicon sequencing
• Endogenous miRNA profiling, off-target analysis, artificial miRNA design
• Biomarker analyses based on proteomic, transcriptomic data
• Long-read sequencing (PacBio, Oxford Nanopore)
• Querying and curation of publicly available omic datasets
• Effective data visualization
• Strong interpersonal skills
• Responsibilities
• Build and execute bioinformatic pipelines
• Analyze various NGS data types (bulk, single-cell, amplicon, long read)
• Manage data and workflows
• Interface with internal teams of scientists and external partners
• Design artificial miRNAs with minimal off-target effects and analyze supporting data
• Use machine learning, biostatistical analyses, WGCNA, pathways analysis to identify potential biomarkers from complex datasets
• Analyze long-read sequencing data for vector quality control
• Query, curate, and analyze publicly available omic datasets relevant to research objectives
• Collaborate with cross-functional teams to support research initiatives
• Participate in experimental design
• Document analyses and present findings to stakeholders

Technical Skills

• Proficiency in R, Python
• Expertise with NGS data analysis
• Expertise in building pipelines, automating workflows (Nextflow, snakemake)
• Expertise using HPC, AWS s3, GCP, git
• Familiarity with public genomic and other databases and data repositories (GTEx, SRA, UKBB)