[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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