Sr. Scientist; Bioinformatic and Translational Science

About the role

Fore Bio is a next-generation precision oncology company focused on the development of plixorafenib, an investigational, novel, small-molecule, next-generation, orally available selective inhibitor of mutated BRAF. We are seeking a highly skilled and motivated Senior Scientist to join our growing research team. The successful candidate will lead the development and application of computational tools and pipelines to analyze large-scale biological datasets, including genomics, transcriptomics, proteomics, and clinical data. This role is focused on supporting biomarker discovery, patient stratification, and translational research.

Responsibilities

• Lead the analysis and interpretation of multi-omics datasets to support internal research and external collaborations.
• Play a critical role in identifying and characterizing oncogenic mutations and gene fusions relevant to precision medicine.
• Integrate public and proprietary datasets for hypothesis generation, uncovering mutation/fusion driven disease, informing drug targeting strategies, and supporting diagnostic and therapeutic development.
• Analyze large-scale biological data, such as gene expression, copy-number, mutation, methylation, next-generation sequencing, and perform clinicogenomics analysis to support publications.
• Analyze translational and biomarker data for clinical-stage oncology programs with a focus on mechanism of action, target engagement, PK/PD/efficacy relationships, patient selection strategies, and mechanisms of intrinsic and acquired resistance.
• Design, implement, and execute experiments in preclinical models and generate translational datasets to inform biomarker strategy, dose and schedule optimization, patient selection, combination approaches, and mechanisms of drug response and resistance.
• Initiate and manage contract studies with CROs.
• Collaborate with cross-functional team members, CROs, data scientists, and clinicians to translate computational findings into actionable insights.
• Independently build, align, and execute technical plans to achieve objectives across multiple programs.
• Impact discovery programs through both direct and indirect contribution as a member of the project team.
• Effectively communicate study findings through internal presentations and assist in drafting conference abstracts and manuscripts for publication in peer-reviewed journals.
• Contribute to scientific publications, regulatory filings, and intellectual property.
• Stay current with advances in bioinformatics, machine learning, and relevant technologies.
• Travel up to 10% of the time, based upon program needs.

Requirements

• PhD in Bioinformatics, Computational Biology, Genomics, or related field with 3+ years of postdoctoral or industry experience; or Master’s with 7+ years of relevant experience.
• Proficiency in programming languages such as Python, R, and Bash for ‘omics analysis and data visualization.
• Deep understanding of genomics high-throughput sequencing technologies (e.g., NGS, WGS, WTS, RNA-seq, etc.) and data formats (e.g., FASTQ, BAM/CRAM, VCF, GTF).
• Experience with cloud computing (AWS, GCP, or Azure) and workflow management tools (e.g., Nextflow, Snakemake, WDL).
• Experience in developing analysis plans and conducting analysis for studies using large real-world observational data or multi-omics databases.
• Experience running bioinformatics pipelines and familiarity with bioinformatics methods and tools.
• Understanding of novel analytical or computational (machine learning) techniques and data science to integrate and mine large complex data is a plus.
• Experience working with and managing central laboratories and CROs supporting biomarker analysis or preclinical studies is preferred.
• Strong background in tumor biology, molecular science, statistical data analysis, and biological interpretation.
• Excellent written and verbal communication skills.
• Proven track record of scientific publications or impactful contributions to bioinformatics research.
• Experience in precision oncology, rare disease, immunology, or neuroscience.
• Familiarity with machine learning techniques applied to biological data.
• Experience with data visualization and dashboard tools (e.g., Shiny, Dash, Tableau).
• Knowledge of regulatory requirements for clinical bioinformatics in a pharma or diagnostics setting.
• Highly motivated, decisive, and results-oriented individual with the flexibility and creativity to excel in and contribute to a rapidly growing company.