Job Description
Duties:
- Design, implement and/or deploy NGS data analysis workflows for data processing, visualization, integration and mining to support novel therapeutic target identification and disease biomarker discovery.
- Data Analysis: Implement methods for omics data analysis, and interpretation of genomic data sets (e.g., bulk RNA-seq, scRNA-seq, ATAC-Seq, spatial RNA-Seq)
- Data Visualization: Fluency in contemporary data visualization methods like R Shiny, D3
- Data Integration: Analyzing diverse datasets (multi-omics) to find relevant drug discovery targets and downstream effects relevant to immune disease
- Data Mining: Internal, collaborative, and public databases to assist in the characterization of immune disease
- Select and benchmark methods and tools, define and perform appropriate QC measures
- Apply and develop innovative analysis approaches when standard methods are not adequate
- Interpret and present analysis results to coworkers and collaborators
- Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field
- Demonstrates the ability to interpret the outcome of experiments, propose appropriate follow-up, and may propose new avenues of investigation
- Communicates own work effectively orally and in writing; contributes to writing protocols, procedures, and technical reports.
- Automate processing and results reporting and delivery.
- Reports and treats data with a high level of integrity and ethics
- Complies with applicable regulations; Maintains proper records in accordance with SOPs and policies
Skills:
Required Skills:
- The ideal candidate will have a strong scientific understanding and with experience in bioinformatics in a pharmaceutical research environment.
- The successful candidate will have experience with more than one of the following; analyzing next-generation sequencing (NGS), functional genomics, statistics for big data analysis, or multi-omics data integration.
- Good knowledge of existing bioinformatics databases and file formats.
- In-depth understanding of computational methods for NGS analysis and the usage of public data resources required.
- Strong hands-on skills in relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash shell scripting, Nextflow), statistical software, cloud computing, visualization tools, and relevant R/Bioconductor packages.
- Demonstrated ability to produce well-designed and documented code and familiarity with code repositories such as GitHub.
Desired skills:
- Experience in accessing LLMs through APIs, such as the OpenAI API or LangChain a plus.
- Experience with web app development - specifically Streamlit or Shiny.
- Finally, the ideal candidate will have familiarity with computational biology tools and experience working with computational biologists to solve problems.
- Must enjoy working in a multi-disciplinary and collaborative environment.
- Ability to troubleshoot both individually and as part of a team.
- Excellent oral and written skills with the ability to communicate in an open, transparent, timely and consistent manner.
Education:
- Master’s degree from an accredited institution with one-plus (1+) years of experience in a related scientific discipline (Computer Science, Genomics, Biostatistics or Bioinformatics preferred) OR
- Bachelor’s degree from an accredited institution with seven-plus (7+) years of experience in a STEM discipline.
Pay Rate Range: $40-55/hr depending on experience
Job Tags
Remote job, Contract work,