Sr. Scientist; Bioinformatic and Translational Science

Fore Biotherapeutics US•Philadelphia, PA

1d•Remote

About The Position

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 individual will play a key role in interpreting complex biological data to support drug discovery, biomarker identification, and clinical development. This role is focused on supporting biomarker discovery, patient stratification, and translational research. It is important for this individual to have knowledge in observational research, cancer biology and bioinformatics with strong statistical programming skillset, and experience managing complex analyses.

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 with 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
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
Highly motivated, decisive, and results-oriented individual with the flexibility and creativity to excel in and contribute to a rapidly growing company.
This is a 100% remote position.
Must have a proven track record of successfully working remotely in a regulated industry.
Strong communication skills and the ability to collaborate virtually across departments are essential.
Reliable internet connection and a dedicated, distraction-free workspace are required

Nice To Haves

Experience working with and managing central laboratories and CROs supporting biomarker analysis or preclinical studies is preferred
A strong record of outstanding technical, collaboration and communication skills
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

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.
Designs, implements and executes experiments in preclinical models and generates translational datasets to inform biomarker strategy, dose and schedule optimization, patient selection, combination approaches, and mechanisms of drug response and resistance as an additional responsibility.
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 builds, aligns, and executes technical plans to achieve objectives across multiple programs
Impacts discovery programs through both direct and indirect contribution as a member of the project team
Effectively communicate study findings through internal presentations, 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