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About the Role

Seeking a bioinformatics and computational biology scientist to power Volastra's discovery and translational engine. This hands-on, high-impact role involves rigorous analysis of genomic, transcriptomic, functional genomic, and clinical-translational datasets to identify vulnerabilities, prioritize targets, nominate biomarkers, and connect preclinical findings to patient populations. The scientist will partner with various teams to generate program-changing insights, leveraging modern AI coding assistants thoughtfully while maintaining human judgment and scientific accountability. This fast-paced biotech environment offers growth opportunities.

Responsibilities

Lead bioinformatics analyses across discovery and translational sciences, including various omics datasets.
Develop reproducible computational workflows for data quality control, processing, analysis, visualization, and reporting.
Integrate internal and public cancer datasets to prioritize targets and biomarkers.
Build analyses connecting cancer genotype, lineage, CIN biology, dependency, perturbation response, and therapeutic hypotheses.
Partner with discovery teams to design experiments, interpret results, refine hypotheses, and identify biological tests.
Support translational strategy by connecting preclinical models, patient genomics, and biomarker hypotheses, collaborating with clinical colleagues on relevant analyses.
Translate complex data into clear recommendations for project teams and leadership using concise visualizations.
Build durable code using modular Python/R packages, workflow management, data provenance, testing, version control, documentation, containers, and cloud/HPC execution.
Utilize AI coding assistants and LLM-based tools to accelerate code generation, refactoring, testing, documentation, and analysis, ensuring review and validation.
Define technical standards for reproducible bioinformatics and mentor colleagues.

Requirements

PhD or equivalent experience in bioinformatics, computational biology, genomics, computational oncology, systems biology, bioengineering, computer science, or related quantitative life-science field.
Deep hands-on experience analyzing high-throughput sequencing data, particularly transcriptomic and cancer genomic data.
Strong coding ability in Python and/or R, with Unix/Linux and bash proficiency.
Familiarity with cloud or HPC environments and scalable handling of large biological datasets.
Biological insight in oncology, cancer genomics, chromosomal instability, DNA damage response, synthetic lethality, targeted therapy, or drug resistance.
Ability to communicate complex analyses clearly to diverse scientific and leadership teams.
High scientific integrity, intellectual ownership, and comfort working in a fast-moving, hypothesis-driven team.
Experience in target discovery, biomarker discovery, patient population mapping, translational genomics, or computational oncology.
Experience analyzing functional genomics screens, Perturb-seq, CRISPR dependencies, cell line/organoid datasets, pharmacogenomic response data, or multi-omics perturbation studies.
Experience building reusable internal tools, structured analysis reports, or lightweight dashboards.
Familiarity with clinical genomics assay outputs and exploratory biomarker workflows.
Track record of collaborating with wet-lab scientists to translate computational hypotheses into experiments and decisions.
Experience using AI coding assistants, code agents, or LLM-based developer tools to improve quality, speed, testing, and documentation.

Skills

Python
R
Unix/Linux
Bash
Cloud Environments
HPC Environments
High-throughput Sequencing Data Analysis
Transcriptomic Data Analysis
Cancer Genomic Data Analysis
Functional Genomics Screens Analysis
Multi-omics Perturbation Studies Analysis
Oncology
Cancer Genomics
Chromosomal Instability
DNA Damage Response
Synthetic Lethality
Targeted Therapy
Drug Resistance
Target Discovery
Biomarker Discovery
Translational Genomics
Computational Oncology
AI Coding Assistants
LLM-based Developer Tools
Workflow Management
Version Control
Data Provenance
Building Internal Tools
Dashboards

Location

West Harlem, New York City

Experience Level

PhD or equivalent experience

Education Level

Salary/Compensations

Approximately $140,000 - $180,000

About the Company

Volastra Therapeutics, Inc. is a clinical-stage oncology biotech company based in New York City.
Pioneers novel approaches to treating cancer by targeting chromosomal instability (CIN).
Founded in 2019, supporting discovery efforts and a growing clinical organization.
Lead pipeline programs focus on KIF18A inhibitors, VLS-1488 and Sovilnesib, both with FDA Fast-Track Designation.
Developing new techniques to understand CIN biology and drive a preclinical pipeline.
Backed by top US and European venture firms and strategic investment from Eli Lilly.
Established partnerships with oncology leaders and supported by an experienced leadership team and advisory board.
Headquartered in West Harlem, New York City.