[Remote] Bioinformatics Analyst III

Note: The job is a remote job and is open to candidates in USA. The Fountain Group is seeking a Bioinformatics Analyst III to work fully remote. The successful candidate will support cross-project data science efforts, contributing to the development of predictive frameworks and integrating large-scale omics data for drug target assessment.

Responsibilities

• Support perturbation analyses to rank promising drug targets and drug combinations for efficacy prediction
• Contribute to the development of combination signature estimation approaches and ranking frameworks
• Ingest, clean, and preprocess multi-modal datasets to enable downstream analysis and modeling
• Apply AI/ML methods where appropriate, including the use of large language models to accelerate analysis, coding, and workflow development
• Demonstrate understanding of model development principles, including training, testing, and cross-validation, and help select appropriate models for specific problem types
• Collaborate with scientific and technical teams to translate biological questions into computational solutions, execute and troubleshoot analyses, and communicate findings clearly and reproducibly

Skills

• Master's with strong experience or PhD/fresh PhD acceptable
• Must be very hands-on technically — this role involves heavy coding day-to-day
• Strong proficiency in both R and Python required
• Must have experience working in HPC or cloud environments for parallel computing
• Must have experience processing and analyzing omics data (any type acceptable): RNA-seq, scRNA-seq, CRISPR screens, proteomics, imaging, other multi-omics datasets
• Ability to extract biological insight from omics data and translate scientific questions into computational analyses
• Strong statistics foundation including regression, modeling concepts, interpretation, and visualization
• Familiarity with AI/ML concepts and LLM-assisted workflows/tools (ChatGPT, Claude, etc.)
• MS degree with 5+ years of experience or PhD with 0+ years of experience in a quantitative field such as Bioinformatics, Computer Science, Computational Genetics, Biostatistics, AI/ML, or a related discipline with strong computational training
• Proficiency in R or Python and standard statistics/ML libraries
• Experience working in HPC or cloud environments for parallel computing
• Domain knowledge in bioinformatics, computational biology, or related omics-driven data science
• Strong attention to detail, documentation, and communication skills
• Ability to independently execute ideas and research solutions within project scope
• Experience processing and analyzing RNA-seq, imaging data, CRISPR screens, or other similar NGS/genomic data
• Proficient in statistical and programming languages such as R and Python, with ability to perform parallel computing using HPC
• Experience writing custom functions in R or Python to statistically interrogate and visualize omics data
• Demonstrated ability to execute custom computational analysis plans leveraging Client algorithms, relevant databases, and AI/ML approaches where appropriate
• Familiarity with machine learning fundamentals, including model selection, training, testing, and cross-validation
• Experience using LLM-based tools or coding assistants to support analysis, coding, and workflow development
• CRISPR perturbation analysis
• Drug target ranking/prioritization work
• Spatial or multiplexed omics
• AI/ML model development experience
• Data visualization for scientific/non-technical audiences
• Experience with target valuation or indication strategy work in oncology or related disease areas

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