Our client leverages machine learning to accelerate drug development and transform clinical trial design. Their cutting-edge research spans multimodal generative modeling, representation learning, and reinforcement learning—applied to extract meaningful insights from complex imaging and omics datasets.
Position Title: Bioinformatics Analyst
Pay Rate: $40–$50/hr (flexible for exceptional candidates) +Benefits
Schedule: 8 AM – 5 PM PST
Location: Fully Remote
Contract: 12-months (Likely to extend or brought on perm)
We are currently seeking a Bioinformatics Analyst to support computational biology initiatives, particularly around the analysis of next-generation sequencing (NGS) data. This role is central to advancing our understanding of immune and stromal cell populations within the tumor microenvironment, with a strong focus on single-cell RNA sequencing (scRNA-seq).
Key Responsibilities:
• Analyze NGS data, including bulk RNA-seq and scRNA-seq datasets.
• Utilize R/Bioconductor, Linux, and Bash to perform data wrangling and analysis.
• Conduct statistical analysis on high-dimensional biological datasets.
• Generate clear, concise slide decks for internal reviews and presentations.
• Present findings to cross-functional teams and project stakeholders.
Required Qualifications:
• PhD in Computational Biology, Bioinformatics, or a related discipline; or a Master’s with significant hands-on experience.
• 0–2 years of industry experience (PhD-level candidates welcome).
• Strong programming skills in R, Python, Linux, and Bash.
• Proven experience in transcriptomics, particularly scRNA-seq or bulk RNA-seq.
• Ability to synthesize complex data and communicate results effectively.
• Prior experience working with immuno-oncology datasets.